data_integrity_codebert_v3/best_metrics.json

{
  "loss": 0.08122180355712771,
  "accuracy": 0.987012987012987,
  "macro_f1": 0.9850340136054422,
  "labels": [
    "data_integrity",
    "unrelated"
  ],
  "precision": [
    1.0,
    0.9811320754716981
  ],
  "recall": [
    0.96,
    1.0
  ],
  "f1": [
    0.9795918367346939,
    0.9904761904761905
  ],
  "support": [
    25,
    52
  ],
  "confusion_matrix": [
    [
      24,
      1
    ],
    [
      0,
      52
    ]
  ],
  "classification_report": "                precision    recall  f1-score   support\n\ndata_integrity       1.00      0.96      0.98        25\n     unrelated       0.98      1.00      0.99        52\n\n      accuracy                           0.99        77\n     macro avg       0.99      0.98      0.99        77\n  weighted avg       0.99      0.99      0.99        77\n"
}