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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