input_validation_codebert_v1/best_metrics.json

{
  "loss": 0.6111653279247028,
  "accuracy": 0.9051094890510949,
  "macro_f1": 0.9009730330831249,
  "labels": [
    "input_validation",
    "unrelated"
  ],
  "precision": [
    0.8571428571428571,
    0.9382716049382716
  ],
  "recall": [
    0.9056603773584906,
    0.9047619047619048
  ],
  "f1": [
    0.8807339449541285,
    0.9212121212121213
  ],
  "support": [
    53,
    84
  ],
  "confusion_matrix": [
    [
      48,
      5
    ],
    [
      8,
      76
    ]
  ],
  "classification_report": "                  precision    recall  f1-score   support\n\ninput_validation       0.86      0.91      0.88        53\n       unrelated       0.94      0.90      0.92        84\n\n        accuracy                           0.91       137\n       macro avg       0.90      0.91      0.90       137\n    weighted avg       0.91      0.91      0.91       137\n"
}