{
  "model_type": "ai-image-detector",
  "architectures": ["ViTForImageClassification"],
  "backbone": "vit_base_patch16_clip_224.openai",
  "backbone_type": "clip_vit_base_patch16",
  "patch_size": 16,
  "image_size": 256,
  "num_classes": 1,
  "in_channels": 3,
  "task": "image-classification",
  "score_semantics": "sigmoid output is p(real); 0=fake, 1=real",
  "decision_rule": "fake if p(real) < fake_threshold; real if p(real) >= real_threshold; otherwise uncertain",
  "fake_threshold": 0.91,
  "real_threshold": 0.93,
  "temperature": 0.594889223575592,
  "calibration_method": "temperature_nll",
  "threshold_source": "dedicated_calibration_split",
  "normalization_mean": [0.481, 0.458, 0.408],
  "normalization_std": [0.269, 0.261, 0.276],
  "training": {
    "finetune_mode": "lora",
    "lora_r": 16,
    "lora_alpha": 32,
    "lora_dropout": 0.05,
    "lora_targets": ["qkv", "attn.proj"],
    "augmentation_profile": "forensic",
    "epochs_run": 12,
    "epochs_requested": 20,
    "early_stopped": true,
    "seed": 42
  },
  "id2label": {"0": "fake", "1": "real"},
  "label2id": {"fake": 0, "real": 1}
}