configs/base.yaml

project:
  name: enhanced-deepfake-detector
  seed: 42
  output_dir: outputs

data:
  metadata_csv: data/metadata.csv
  processed_root: data/processed
  sequence_length: 16
  image_size: 224
  batch_size: 8
  num_workers: 4
  split:
    train: 0.7
    val: 0.15
    test: 0.15

model:
  backbone: vit_tiny_patch16_224
  backbone_pretrained: true
  feature_dim: 192
  lstm_hidden: 256
  lstm_layers: 2
  dropout: 0.2
  num_classes: 2

train:
  epochs: 20
  lr: 0.0001
  weight_decay: 0.0001
  grad_clip: 1.0
  mixed_precision: true
  log_interval: 20

adv:
  enabled: true
  attack: pgd
  eps: 0.03
  alpha: 0.007
  steps: 5
  fgsm_eps: 0.015
  clean_weight: 0.7
  adv_weight: 0.3

aat:
  enabled: true
  attention_consistency_weight: 0.2
  blink_timing_weight: 0.1
  blink_min_seconds: 0.1
  blink_max_seconds: 0.4
  fps: 25

tracking:
  use_wandb: true
  wandb_project: enhanced-deepfake-detector