{
  "model_type": "tigas",
  "architectures": ["TIGASModel"],
  "task_type": "image-classification",
  "framework": "pytorch",
  "model_config": {
    "img_size": 256,
    "in_channels": 3,
    "feature_dim": 256,
    "base_channels": 32,
    "num_scales": 4,
    "fast_mode": false
  },
  "training_config": {
    "epochs_trained": 15,
    "batch_size": 16,
    "learning_rate": 0.000002,
    "optimizer": "adamw",
    "scheduler": "onecycle",
    "mixed_precision": false,
    "regression_weight": 1.0,
    "classification_weight": 0.2,
    "ranking_weight": 0.1
  },
  "dataset_info": {
    "train_samples": 128776,
    "val_samples": 14167,
    "test_samples": 14126,
    "total_samples": 157069,
    "real_ratio": 0.458,
    "fake_ratio": 0.542
  },
  "metrics": {
    "best_val_loss": 0.2163,
    "best_val_accuracy": 0.7103,
    "final_train_loss": 0.2468
  },
  "input_spec": {
    "type": "image",
    "channels": 3,
    "height": 256,
    "width": 256,
    "normalization": {
      "mean": [0.5, 0.5, 0.5],
      "std": [0.5, 0.5, 0.5],
      "range": [-1, 1]
    }
  },
  "output_spec": {
    "type": "score",
    "range": [0, 1],
    "interpretation": {
      "1.0": "real/natural image",
      "0.0": "fake/generated image"
    }
  }
}