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  1. weights/kfold/egmn-dataset=md-dock_top_5+crystal-train_split=coreMD-fold-0-train-batch_size=256-lr=0.001-seed=0-pretrain=True/best_model-epoch-574.pt +3 -0
  2. weights/kfold/egmn-dataset=md-dock_top_5+crystal-train_split=coreMD-fold-0-train-batch_size=256-lr=0.001-seed=1-pretrain=True/best_model-epoch-574.pt +3 -0
  3. weights/kfold/egmn-dataset=md-dock_top_5+crystal-train_split=coreMD-fold-0-train-batch_size=256-lr=0.001-seed=2-pretrain=True/best_model-epoch-575.pt +3 -0
  4. weights/kfold/egmn-dataset=md-dock_top_5+crystal-train_split=coreMD-fold-1-train-batch_size=256-lr=0.001-seed=0-pretrain=True/best_model-epoch-588.pt +3 -0
  5. weights/kfold/egmn-dataset=md-dock_top_5+crystal-train_split=coreMD-fold-1-train-batch_size=256-lr=0.001-seed=1-pretrain=True/best_model-epoch-576.pt +3 -0
  6. weights/kfold/egmn-dataset=md-dock_top_5+crystal-train_split=coreMD-fold-1-train-batch_size=256-lr=0.001-seed=2-pretrain=True/best_model-epoch-569.pt +3 -0
  7. weights/kfold/egmn-dataset=md-dock_top_5+crystal-train_split=coreMD-fold-2-train-batch_size=256-lr=0.001-seed=0-pretrain=True/best_model-epoch-571.pt +3 -0
  8. weights/kfold/egmn-dataset=md-dock_top_5+crystal-train_split=coreMD-fold-2-train-batch_size=256-lr=0.001-seed=1-pretrain=True/best_model-epoch-578.pt +3 -0
  9. weights/kfold/egmn-dataset=md-dock_top_5+crystal-train_split=coreMD-fold-2-train-batch_size=256-lr=0.001-seed=2-pretrain=True/best_model-epoch-562.pt +3 -0
  10. weights/kfold/egmn-dataset=md-dock_top_5+crystal-train_split=coreMD-fold-3-train-batch_size=256-lr=0.001-seed=0-pretrain=True/best_model-epoch-594.pt +3 -0
  11. weights/kfold/egmn-dataset=md-dock_top_5+crystal-train_split=coreMD-fold-3-train-batch_size=256-lr=0.001-seed=1-pretrain=True/best_model-epoch-594.pt +3 -0
  12. weights/kfold/egmn-dataset=md-dock_top_5+crystal-train_split=coreMD-fold-3-train-batch_size=256-lr=0.001-seed=2-pretrain=True/best_model-epoch-566.pt +3 -0
  13. weights/kfold/egmn-dataset=md-dock_top_5+crystal-train_split=coreMD-fold-4-train-batch_size=256-lr=0.001-seed=0-pretrain=True/best_model-epoch-558.pt +3 -0
  14. weights/kfold/egmn-dataset=md-dock_top_5+crystal-train_split=coreMD-fold-4-train-batch_size=256-lr=0.001-seed=1-pretrain=True/best_model-epoch-600.pt +3 -0
  15. weights/kfold/egmn-dataset=md-dock_top_5+crystal-train_split=coreMD-fold-4-train-batch_size=256-lr=0.001-seed=2-pretrain=True/best_model-epoch-582.pt +3 -0
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