| ======================================================================== |
| MODEL: cnn |
| Best Optuna F1 (objective): 0.5290 |
| Best Optuna AUC (val, recorded): 0.7477 |
| Best Optuna threshold (val): 0.4518 |
| Refit best AUC (val): 0.7851 |
| Refit best F1@thr (val): 0.5366 at thr=0.5298 |
| Best params: |
| { |
| "lr": 0.0002237456677696451, |
| "weight_decay": 0.0005722918417016266, |
| "dropout": 0.2697397384794115, |
| "batch_size": 16, |
| "channels": 512, |
| "kernel": 3, |
| "layers": 4 |
| } |
| Saved model: /vast/projects/pranam/lab/yz927/projects/Classifier_Weight/training_classifiers/hemolysis/cnn_smiles/best_model.pt |
| ======================================================================== |
