{
  "loss": 0.5047465368745264,
  "accuracy": 0.888235294117647,
  "macro_f1": 0.8805959114265647,
  "labels": [
    "audit_accountability",
    "unrelated"
  ],
  "precision": [
    0.8307692307692308,
    0.9238095238095239
  ],
  "recall": [
    0.8709677419354839,
    0.8981481481481481
  ],
  "f1": [
    0.8503937007874016,
    0.9107981220657277
  ],
  "support": [
    62,
    108
  ],
  "confusion_matrix": [
    [
      54,
      8
    ],
    [
      11,
      97
    ]
  ],
  "classification_report": "                      precision    recall  f1-score   support\n\naudit_accountability       0.83      0.87      0.85        62\n           unrelated       0.92      0.90      0.91       108\n\n            accuracy                           0.89       170\n           macro avg       0.88      0.88      0.88       170\n        weighted avg       0.89      0.89      0.89       170\n"
}