| model: | |
| base_model: Qwen/Qwen3-0.6B | |
| max_length: 512 | |
| pooling: last_token | |
| dropout: 0.05 | |
| freeze_backbone: true | |
| dtype: auto | |
| training: | |
| seed: 43 | |
| epochs: 3 | |
| batch_size: 8 | |
| gradient_accumulation_steps: 1 | |
| learning_rate: 0.0002 | |
| weight_decay: 0.0 | |
| max_grad_norm: 1.0 | |
| estimator: reinforce | |
| rollouts_per_prompt: 8 | |
| entropy_coefficient: 0.01 | |
| normalize_advantage: false | |
| log_every: 10 | |