| # ORPO iter-2 on planner-COLLAB-iter1 — starts from prior ORPO checkpoint, uses new rollouts. | |
| model_name_or_path: ./output/qwen-coder3b-scaleup-planner-COLLAB-orpo | |
| torch_dtype: bfloat16 | |
| use_flash_attention_2: false | |
| dataset_mixer: | |
| ../data/llm_alignment/scaleup_iter2/hf_planner_collaborative: 1.0 | |
| dataset_splits: | |
| - train_dpo | |
| - test_dpo | |
| preprocessing_num_workers: 12 | |
| chat_template: "{{'<|im_start|>user\n' + messages['prompt'] + '<|im_end|>\n'}}{{'<|im_start|>assistant\n' + messages['completion'] + '<|im_end|>\n'}}" | |
| report_to: ["tensorboard"] | |
| bf16: true | |
| beta: 1.0 | |
| do_eval: true | |
| eval_strategy: "steps" | |
| eval_steps: 100 | |
| gradient_accumulation_steps: 16 | |
| gradient_checkpointing: true | |
| gradient_checkpointing_kwargs: | |
| use_reentrant: False | |
| learning_rate: 1.0e-6 | |
| log_level: info | |
| logging_steps: 10 | |
| lr_scheduler_type: inverse_sqrt | |
| max_length: 4000 | |
| max_prompt_length: 3500 | |
| num_train_epochs: -1 | |
| max_steps: 200 | |
| optim: adamw_torch | |
| output_dir: output/qwen-coder3b-scaleup-planner-COLLAB-orpo-iter2 | |
| overwrite_output_dir: true | |
| per_device_train_batch_size: 1 | |
| per_device_eval_batch_size: 1 | |
| push_to_hub: false | |
| remove_unused_columns: false | |
| save_strategy: "steps" | |
| save_steps: 200 | |
| save_total_limit: 1 | |
| seed: 42 | |
| warmup_ratio: 0.1 | |
| warmup_steps: 50 | |
| max_grad_norm: 0.5 | |