test_metrics.json

{
  "accuracy": 0.9027984519202144,
  "macro_precision": 0.9027819613727487,
  "macro_recall": 0.8531717892731714,
  "macro_f1": 0.8732653319167776,
  "average_loss": 0.5711841108131575,
  "train_loss_sample_weighted": 0.050289344094762996,
  "classification_report_str": "              precision    recall  f1-score   support\n\n     label_0       0.90      0.97      0.93      4806\n     label_1       0.90      0.74      0.81      1912\n\n    accuracy                           0.90      6718\n   macro avg       0.90      0.85      0.87      6718\nweighted avg       0.90      0.90      0.90      6718\n"
}