[Config] Reproduce training

config/finetune_long.v2.yaml

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+lr: 0.000003
+interval_episodes_to_validation: 30000
+panel_dataset_train: ['/path/to/ordered/combined/short/dataset']
+panel_dataset_validate: ['/path/short/real/validation', '/path/short/simulated/validation']
+pretrained_model: ['path/short/model']

config/selection_config_ont_real.v2.yaml

@@ -0,0 +1,215 @@
+Global:
+  n_nodes:
+    min: 3
+    max: 5000
+real_ont3-9_0-8:
+  n_nodes:
+    min: 3
+    max: 9
+  n_edges:
+    min: 0
+    max: 8
+  size_train: 350
+  size_validate: 35
+real_ont3-9_8-12:
+  n_nodes:
+    min: 3
+    max: 9
+  n_edges:
+    min: 8
+    max: 12
+  size_train: 350
+  size_validate: 35
+real_ont3-9_12-16:
+  n_nodes:
+    min: 3
+    max: 9
+  n_edges:
+    min: 12
+    max: 16
+  size_train: 350
+  size_validate: 35
+real_ont3-9_16:
+  n_nodes:
+    min: 3
+    max: 9
+  n_edges:
+    min: 16
+  size_train: 350
+  size_validate: 35
+real_ont10-49_0-65:
+  n_nodes:
+    min: 10
+    max: 49
+  n_edges:
+    min: 0
+    max: 65
+  size_train: 1900
+  size_validate: 190
+real_ont10-49_65-114:
+  n_nodes:
+    min: 10
+    max: 49
+  n_edges:
+    min: 65
+    max: 114
+  size_train: 1900
+  size_validate: 190
+real_ont10-49_114-170:
+  n_nodes:
+    min: 10
+    max: 49
+  n_edges:
+    min: 114
+    max: 170
+  size_train: 1900
+  size_validate: 190
+real_ont10-49_170:
+  n_nodes:
+    min: 10
+    max: 49
+  n_edges:
+    min: 170
+  size_train: 1900
+  size_validate: 190
+real_ont50-99_0-303:
+  n_nodes:
+    min: 50
+    max: 99
+  n_edges:
+    min: 0
+    max: 303
+  size_train: 1700
+  size_validate: 170
+real_ont50-99_303-382:
+  n_nodes:
+    min: 50
+    max: 99
+  n_edges:
+    min: 303
+    max: 382
+  size_train: 1700
+  size_validate: 170
+real_ont50-99_382-482:
+  n_nodes:
+    min: 50
+    max: 99
+  n_edges:
+    min: 382
+    max: 482
+  size_train: 1700
+  size_validate: 170
+real_ont50-99_482:
+  n_nodes:
+    min: 50
+    max: 99
+  n_edges:
+    min: 482
+  size_train: 1700
+  size_validate: 170
+real_ont100-199_0-655:
+  n_nodes:
+    min: 100
+    max: 199
+  n_edges:
+    min: 0
+    max: 655
+  size_train: 2100
+  size_validate: 210
+real_ont100-199_655-827:
+  n_nodes:
+    min: 100
+    max: 199
+  n_edges:
+    min: 655
+    max: 827
+  size_train: 2100
+  size_validate: 210
+real_ont100-199_827-1074:
+  n_nodes:
+    min: 100
+    max: 199
+  n_edges:
+    min: 827
+    max: 1074
+  size_train: 2100
+  size_validate: 210
+real_ont100-199_1074:
+  n_nodes:
+    min: 100
+    max: 199
+  n_edges:
+    min: 1074
+  size_train: 2100
+  size_validate: 210
+real_ont200-499_0-1606:
+  n_nodes:
+    min: 200
+    max: 499
+  n_edges:
+    min: 0
+    max: 1606
+  size_train: 2000
+  size_validate: 200
+real_ont200-499_1606-2194:
+  n_nodes:
+    min: 200
+    max: 499
+  n_edges:
+    min: 1606
+    max: 2194
+  size_train: 2000
+  size_validate: 200
+real_ont200-499_2194-2930:
+  n_nodes:
+    min: 200
+    max: 499
+  n_edges:
+    min: 2194
+    max: 2930
+  size_train: 2000
+  size_validate: 200
+real_ont200-499_2930:
+  n_nodes:
+    min: 200
+    max: 499
+  n_edges:
+    min: 2930
+  size_train: 2000
+  size_validate: 200
+real_ont500-5000_0-5001:
+  n_nodes:
+    min: 500
+    max: 5000
+  n_edges:
+    min: 0
+    max: 5001
+  size_train: 1500
+  size_validate: 150
+real_ont500-5000_5001-6841:
+  n_nodes:
+    min: 500
+    max: 5000
+  n_edges:
+    min: 5001
+    max: 6841
+  size_train: 1500
+  size_validate: 150
+real_ont500-5000_6841-10480:
+  n_nodes:
+    min: 500
+    max: 5000
+  n_edges:
+    min: 6841
+    max: 10480
+  size_train: 1500
+  size_validate: 150
+real_ont500-5000_10480:
+  n_nodes:
+    min: 500
+    max: 5000
+  n_edges:
+    min: 10480
+  size_train: 1500
+  size_validate: 150
+shuffle: False