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diagnosis_run_1000000_1_plmicd/mlb.pkl

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diagnosis_run_4500_51_plmicd/mlb.pkl

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diagnosis_run_5000_46_plmicd/mlb.pkl

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diagnosis_run_900_202_plmicd/config.json

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diagnosis_run_900_202_plmicd/model_state.pt

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diagnosis_run_900_202_plmicd/training_metrics.txt

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+Starting Training at 2026-05-08 03:32:49.599082
+Evaluation Threshold: 0.9
+========================================
+Epoch 1/15
+Average Training Loss: 0.9871
+Validation Loss: 0.8053
+f1_macro: 0.2670
+f1_micro: 0.2789
+precision_macro: 0.4010
+recall_macro: 0.2763
+max_p: 0.9984
+avg_truth_p: 0.6917
+accuracy: 0.0017
+mAP: 0.3567
+precision@5: 0.4764
+recall@5: 0.2481
+precision@10: 0.3874
+recall@10: 0.3811
+roc_auc_macro: 0.8656
+roc_auc_micro: 0.8735
+best_threshold: 0.7500
+best_f1_micro: 0.3874
+--------------------
+Epoch 2/15
+Average Training Loss: 0.7210
+Validation Loss: 0.6604
+f1_macro: 0.4357
+f1_micro: 0.4861
+precision_macro: 0.4374
+recall_macro: 0.5519
+max_p: 0.9998
+avg_truth_p: 0.7725
+accuracy: 0.0020
+mAP: 0.4788
+precision@5: 0.5903
+recall@5: 0.3041
+precision@10: 0.4852
+recall@10: 0.4723
+roc_auc_macro: 0.9094
+roc_auc_micro: 0.9120
+best_threshold: 0.8500
+best_f1_micro: 0.4874
+--------------------
+Epoch 3/15
+Average Training Loss: 0.5983
+Validation Loss: 0.5917
+f1_macro: 0.4946
+f1_micro: 0.5501
+precision_macro: 0.4528
+recall_macro: 0.6510
+max_p: 0.9998
+avg_truth_p: 0.8157
+accuracy: 0.0023
+mAP: 0.5324
+precision@5: 0.6346
+recall@5: 0.3277
+precision@10: 0.5335
+recall@10: 0.5210
+roc_auc_macro: 0.9272
+roc_auc_micro: 0.9327
+best_threshold: 0.9000
+best_f1_micro: 0.5501
+--------------------
+Epoch 4/15
+Average Training Loss: 0.5441
+Validation Loss: 0.5655
+f1_macro: 0.5197
+f1_micro: 0.5783
+precision_macro: 0.4633
+recall_macro: 0.6794
+max_p: 0.9999
+avg_truth_p: 0.8308
+accuracy: 0.0030
+mAP: 0.5587
+precision@5: 0.6673
+recall@5: 0.3466
+precision@10: 0.5642
+recall@10: 0.5504
+roc_auc_macro: 0.9328
+roc_auc_micro: 0.9411
+best_threshold: 0.9000
+best_f1_micro: 0.5783
+--------------------
+Epoch 5/15
+Average Training Loss: 0.5118
+Validation Loss: 0.5526
+f1_macro: 0.5451
+f1_micro: 0.6091
+precision_macro: 0.4859
+recall_macro: 0.6861
+max_p: 0.9999
+avg_truth_p: 0.8343
+accuracy: 0.0052
+mAP: 0.5803
+precision@5: 0.7030
+recall@5: 0.3677
+precision@10: 0.5913
+recall@10: 0.5772
+roc_auc_macro: 0.9361
+roc_auc_micro: 0.9457
+best_threshold: 0.9000
+best_f1_micro: 0.6091
+--------------------
+Epoch 6/15
+Average Training Loss: 0.4893
+Validation Loss: 0.5419
+f1_macro: 0.5499
+f1_micro: 0.6146
+precision_macro: 0.4834
+recall_macro: 0.7011
+max_p: 0.9999
+avg_truth_p: 0.8368
+accuracy: 0.0058
+mAP: 0.5894
+precision@5: 0.7088
+recall@5: 0.3705
+precision@10: 0.6001
+recall@10: 0.5862
+roc_auc_macro: 0.9384
+roc_auc_micro: 0.9475
+best_threshold: 0.9000
+best_f1_micro: 0.6146
+--------------------
+Epoch 7/15
+Average Training Loss: 0.4709
+Validation Loss: 0.5280
+f1_macro: 0.5584
+f1_micro: 0.6123
+precision_macro: 0.4934
+recall_macro: 0.7057
+max_p: 0.9999
+avg_truth_p: 0.8348
+accuracy: 0.0043
+mAP: 0.5965
+precision@5: 0.7056
+recall@5: 0.3676
+precision@10: 0.5964
+recall@10: 0.5821
+roc_auc_macro: 0.9403
+roc_auc_micro: 0.9490
+best_threshold: 0.9000
+best_f1_micro: 0.6123
+--------------------
+Epoch 8/15
+Average Training Loss: 0.4572
+Validation Loss: 0.5406
+f1_macro: 0.5515
+f1_micro: 0.6131
+precision_macro: 0.4715
+recall_macro: 0.7262
+max_p: 0.9999
+avg_truth_p: 0.8515
+accuracy: 0.0051
+mAP: 0.6014
+precision@5: 0.7136
+recall@5: 0.3728
+precision@10: 0.6022
+recall@10: 0.5872
+roc_auc_macro: 0.9407
+roc_auc_micro: 0.9490
+best_threshold: 0.9000
+best_f1_micro: 0.6131
+--------------------
+Epoch 9/15
+Average Training Loss: 0.4437
+Validation Loss: 0.5215
+f1_macro: 0.5666
+f1_micro: 0.6211
+precision_macro: 0.5044
+recall_macro: 0.7027
+max_p: 1.0000
+avg_truth_p: 0.8332
+accuracy: 0.0064
+mAP: 0.6056
+precision@5: 0.7152
+recall@5: 0.3736
+precision@10: 0.6051
+recall@10: 0.5909
+roc_auc_macro: 0.9421
+roc_auc_micro: 0.9516
+best_threshold: 0.9000
+best_f1_micro: 0.6211
+--------------------
+Epoch 10/15
+Average Training Loss: 0.4335
+Validation Loss: 0.5283
+f1_macro: 0.5578
+f1_micro: 0.6131
+precision_macro: 0.4849
+recall_macro: 0.7206
+max_p: 1.0000
+avg_truth_p: 0.8411
+accuracy: 0.0062
+mAP: 0.6035
+precision@5: 0.7073
+recall@5: 0.3683
+precision@10: 0.5984
+recall@10: 0.5832
+roc_auc_macro: 0.9416
+roc_auc_micro: 0.9501
+best_threshold: 0.9000
+best_f1_micro: 0.6131
+--------------------
+Epoch 11/15
+Average Training Loss: 0.4247
+Validation Loss: 0.5368
+f1_macro: 0.5653
+f1_micro: 0.6245
+precision_macro: 0.4909
+recall_macro: 0.7237
+max_p: 1.0000
+avg_truth_p: 0.8451
+accuracy: 0.0067
+mAP: 0.6099
+precision@5: 0.7209
+recall@5: 0.3774
+precision@10: 0.6096
+recall@10: 0.5948
+roc_auc_macro: 0.9417
+roc_auc_micro: 0.9506
+best_threshold: 0.9000
+best_f1_micro: 0.6245
+--------------------
+Epoch 12/15
+Average Training Loss: 0.4176
+Validation Loss: 0.5306
+f1_macro: 0.5672
+f1_micro: 0.6251
+precision_macro: 0.4952
+recall_macro: 0.7190
+max_p: 1.0000
+avg_truth_p: 0.8424
+accuracy: 0.0060
+mAP: 0.6095
+precision@5: 0.7198
+recall@5: 0.3764
+precision@10: 0.6104
+recall@10: 0.5948
+roc_auc_macro: 0.9419
+roc_auc_micro: 0.9513
+best_threshold: 0.9000
+best_f1_micro: 0.6251
+--------------------
+Epoch 13/15
+Average Training Loss: 0.4108
+Validation Loss: 0.5334
+f1_macro: 0.5730
+f1_micro: 0.6283
+precision_macro: 0.5033
+recall_macro: 0.7167
+max_p: 1.0000
+avg_truth_p: 0.8394
+accuracy: 0.0064
+mAP: 0.6131
+precision@5: 0.7250
+recall@5: 0.3798
+precision@10: 0.6132
+recall@10: 0.5981
+roc_auc_macro: 0.9421
+roc_auc_micro: 0.9520
+best_threshold: 0.9000
+best_f1_micro: 0.6283
+--------------------
+Epoch 14/15
+Average Training Loss: 0.4058
+Validation Loss: 0.5336
+f1_macro: 0.5737
+f1_micro: 0.6291
+precision_macro: 0.5043
+recall_macro: 0.7152
+max_p: 1.0000
+avg_truth_p: 0.8383
+accuracy: 0.0065
+mAP: 0.6129
+precision@5: 0.7240
+recall@5: 0.3790
+precision@10: 0.6133
+recall@10: 0.5976
+roc_auc_macro: 0.9420
+roc_auc_micro: 0.9519
+best_threshold: 0.9000
+best_f1_micro: 0.6291
+--------------------
+Epoch 15/15
+Average Training Loss: 0.4024
+Validation Loss: 0.5322
+f1_macro: 0.5729
+f1_micro: 0.6282
+precision_macro: 0.5033
+recall_macro: 0.7158
+max_p: 1.0000
+avg_truth_p: 0.8387
+accuracy: 0.0068
+mAP: 0.6132
+precision@5: 0.7242
+recall@5: 0.3786
+precision@10: 0.6128
+recall@10: 0.5973
+roc_auc_macro: 0.9422
+roc_auc_micro: 0.9521
+best_threshold: 0.9000
+best_f1_micro: 0.6282
+--------------------