{
  "detector_name": "FLUX",
  "random_seed": 123,
  "best_epoch": 6,
  "best_val_acc": 0.998,
  "training_time_seconds": 974.2553210258484,
  "test_metrics": {
    "accuracy": 0.9985,
    "precision": 1.0,
    "recall": 0.997,
    "f1": 0.9984977466199298,
    "auc": 0.999994,
    "fpr": 0.0,
    "fnr": 0.003
  },
  "confusion_matrix": [
    [
      1000,
      0
    ],
    [
      3,
      997
    ]
  ],
  "training_history": {
    "train_loss": [
      0.22600403943657876,
      0.2041842999458313,
      0.20400824850797653,
      0.20128074333071708,
      0.2000999386012554,
      0.199884980738163,
      0.20074790892004968,
      0.1999598905146122,
      0.19931599202752112
    ],
    "train_acc": [
      0.9850625,
      0.9976875,
      0.9971875,
      0.9989375,
      0.9995,
      0.9995625,
      0.999,
      0.9994375,
      0.99975
    ],
    "val_loss": [
      0.21381006401682656,
      0.2048076204364262,
      0.20778910342663054,
      0.20300078060891893,
      0.20336188730739413,
      0.20366992931517344,
      0.2053397801660356,
      0.20481586692825196,
      0.20351921920738522
    ],
    "val_acc": [
      0.995,
      0.997,
      0.9935,
      0.9975,
      0.9975,
      0.998,
      0.9965,
      0.997,
      0.997
    ],
    "val_precision": [
      0.9940119760479041,
      0.998995983935743,
      0.9890981169474727,
      0.997997997997998,
      0.997002997002997,
      0.998997995991984,
      0.996996996996997,
      0.997,
      0.998995983935743
    ],
    "val_recall": [
      0.996,
      0.995,
      0.998,
      0.997,
      0.998,
      0.997,
      0.996,
      0.997,
      0.995
    ],
    "val_f1": [
      0.995004995004995,
      0.996993987975952,
      0.993529118964659,
      0.9974987493746873,
      0.9975012493753124,
      0.997997997997998,
      0.9964982491245623,
      0.997,
      0.996993987975952
    ],
    "val_auc": [
      0.999638,
      0.999973,
      0.999935,
      0.999962,
      0.999324,
      0.999968,
      0.999662,
      0.999729,
      0.9997940000000001
    ]
  },
  "config": {
    "model_name": "google/vit-base-patch16-224",
    "image_size": 224,
    "num_classes": 2,
    "batch_size": 32,
    "learning_rate": 2e-05,
    "num_epochs": 20,
    "early_stopping_patience": 5,
    "dropout_rate": 0.1,
    "label_smoothing": 0.1,
    "weight_decay": 0.01
  },
  "dataset_info": {
    "train_real": 8000,
    "train_fake": 8000,
    "val_real": 1000,
    "val_fake": 1000,
    "test_real": 1000,
    "test_fake": 1000
  }
}