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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