augmentation:
  feature_dropout: 0.2
  temporal_crop: true
  temporal_crop_end: true
  temporal_crop_ratio: 0.5
backbone: dinov3_vitb16
data_curation:
  post_crash_margin: 1
  remove_post_crash: true
  sample_weights:
    enabled: true
    negative_weight: 1.0
    positive_weight: 5.0
eval:
  balanced_val: true
  seed: 42
  val_ratio: 0.15
max_seq_len: 48
model:
  dropout: 0.4
  hidden_dim: 128
  num_heads: 4
  num_layers: 2
  pool: mean
  type: transformer
training:
  batch_size: 32
  epochs: 80
  label_smoothing: 0.1
  lr: 0.0001
  optimizer: adamw
  patience: 20
  pos_weight: 1.0
  scheduler: cosine
  warmup_epochs: 5
  weight_decay: 0.08
truncation: end