test_metrics.json

{
  "accuracy": 0.880023816612087,
  "macro_precision": 0.8874786557517189,
  "macro_recall": 0.8109567538484843,
  "macro_f1": 0.8379205925523625,
  "average_loss": 0.7861985738462647,
  "train_loss_sample_weighted": 0.057676015858474525,
  "classification_report_str": "              precision    recall  f1-score   support\n\n     label_0       0.87      0.97      0.92      4806\n     label_1       0.90      0.65      0.76      1912\n\n    accuracy                           0.88      6718\n   macro avg       0.89      0.81      0.84      6718\nweighted avg       0.88      0.88      0.87      6718\n"
}