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| dataset: bbbp | |
| task_type: classification | |
| num_tasks: 1 | |
| metric: roc_auc | |
| higher_is_better: true | |
| training: | |
| batch_size: 32 | |
| epochs: 50 | |
| lr: 0.001 | |
| weight_decay: 0.0001 | |
| patience: 15 | |
| grad_clip: 1.0 | |
| lr_scheduler: reduce_on_plateau | |
| lr_patience: 5 | |
| lr_factor: 0.5 | |
| seeds: [42, 123, 999] | |
| model: | |
| hidden_dim: 64 | |
| num_layers: 3 | |
| dropout: 0.2 | |
| residual: true | |