weights/modality_config.json

{
  "arch": "efficientnet_b0",
  "classes": [
    "ct",
    "mri",
    "xray"
  ],
  "input_size": 224,
  "normalization": {
    "mean": [
      0.485,
      0.456,
      0.406
    ],
    "std": [
      0.229,
      0.224,
      0.225
    ]
  },
  "temperature": 1.9033434391021729,
  "val_metrics": {
    "accuracy": 0.938817131203263,
    "macro_f1": 0.9384399221064662,
    "per_class": {
      "ct": {
        "precision": 0.8989473684210526,
        "recall": 0.9323144104803494
      },
      "mri": {
        "precision": 0.9207920792079208,
        "recall": 0.9153543307086615
      },
      "xray": {
        "precision": 0.9959266802443992,
        "recall": 0.9683168316831683
      }
    },
    "n_val": 1471
  },
  "trained_at_utc": "2026-06-11T03:02:54.478004+00:00",
  "dataset_manifest_sha256": "c3652844b5dff762cb44ab56eb2ef7200762e706f72766f302312e6b6d986271",
  "seed": 42
}