Unable to reproduce object detection results on Pascal VOC

[MaitaYuki]

Dear authors, thanks for your great work and for sharing the codes!

The object detection result on the Pascal VOC you reported is AP 59.5 . In your paper, you say that you follow DenseCL and fine-tune a Faster R-CNN detector (C4-backbone) on the Pascal VOC trainval07+12 set with standard 2x schedule and test on the VOC test2007 set (Fine-tune in the Table).
I downloaded your pretrained model resnet50_alpha0.75.pth, followed the instructions given in DenseCL website (https://github.com/WXinlong/DenseCL/tree/main/benchmarks/detection), and trained the object detection network using "pascal_voc_R_50_C4_24k_moco.yaml". But I only got AP 27 (When I downloaded DenseCL pretrained model and trained using "pascal_voc_R_50_C4_24k_moco.yaml", I got AP 58 which is similar to the reported results in DenseCL paper).
Do you use the training configure file "pascal_voc_R_50_C4_24k_moco.yaml" for your training or different training parameters? Could you please provide some guidance to reproduce your result? Thanks.