without_preprocess/benchmark_eval_results.json

{
  "checkpoint": "without_preprocess/final_model.pt",
  "n_images": 60,
  "preprocess": "none",
  "metrics": {
    "loss": 0.3956117908159892,
    "accuracy": 0.85,
    "macro_f1": 0.847930160518164,
    "weighted_f1": 0.847930160518164,
    "auc_roc": 0.97
  },
  "report": "              precision    recall  f1-score   support\n\n       uchen       0.78      0.97      0.87        30\n         ume       0.96      0.73      0.83        30\n\n    accuracy                           0.85        60\n   macro avg       0.87      0.85      0.85        60\nweighted avg       0.87      0.85      0.85        60\n",
  "confusion_matrix": [
    [
      29,
      1
    ],
    [
      8,
      22
    ]
  ]
}