| model: | |
| dim: 256 | |
| depth: 6 | |
| heads: 8 | |
| dim_head: 32 | |
| vocab_size: 32 | |
| phase_dim: 16 | |
| max_seq_len: 32 | |
| dropout: 0.1 | |
| use_set_encoder: false | |
| diffusion_type: flow_matching | |
| num_timesteps: 1000 | |
| beta_schedule: cosine | |
| use_ot_coupling: false | |
| use_quadratic_weighting: true | |
| training: | |
| batch_size: 2048 | |
| lr: 0.0008 | |
| weight_decay: 0.01 | |
| epochs: 200 | |
| warmup_steps: 1000 | |
| flow_loss_weight: 32.0 | |
| lm_loss_weight: 0.0 | |
| max_grad_norm: 1.0 | |
| use_amp: true | |
| early_stopping_patience: 20 | |
| save_every: 20 | |
| sampling: | |
| method: euler | |
| ode_steps: 20 | |
| sampling_steps: 50 | |
| use_ddim: true | |
| temperature: 1.0 | |
| data: | |
| # The best source experiment used the complete data range. This value is | |
| # read by the peptide training workflow unless --threshold overrides it. | |
| missing_threshold: 15 | |
| train_ratio: 0.9 | |
| val_ratio: 0.05 | |
| num_workers: 4 | |
| # Optional explicit splits. Leave null to split from --data_path. | |
| val_path: null | |
| test_path: null | |