| 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 | |