augmentation:
  event_crop: true
  event_crop_jitter: 0.1
  event_crop_ratio: 0.5
  feature_dropout: 0.2
  temporal_crop: true
  temporal_crop_end: true
  temporal_crop_ratio: 0.6
backbone: dinov3_vitb16
eval:
  seed: 42
  val_ratio: 0.2
model:
  dropout: 0.4
  hidden_dim: 128
  num_heads: 4
  num_layers: 2
  pool: max
  type: transformer
training:
  batch_size: 32
  epochs: 100
  label_smoothing: 0.1
  lr: 0.0001
  optimizer: adamw
  patience: 25
  pos_weight: 2.8
  scheduler: cosine
  warmup_epochs: 8
  weight_decay: 0.05