| ### model | |
| model_name_or_path: Qwen/Qwen2-VL-7B-Instruct | |
| ### method | |
| stage: dpo | |
| do_train: true | |
| finetuning_type: lora | |
| lora_target: all | |
| pref_beta: 0.1 | |
| pref_loss: sigmoid # choices: [sigmoid (dpo), orpo, simpo] | |
| ### dataset | |
| dataset: rlhf_v | |
| template: qwen2_vl | |
| cutoff_len: 1024 | |
| max_samples: 1000 | |
| overwrite_cache: true | |
| preprocessing_num_workers: 16 | |
| ### output | |
| output_dir: saves/qwen2_vl-7b/lora/dpo | |
| logging_steps: 10 | |
| save_steps: 500 | |
| plot_loss: true | |
| overwrite_output_dir: true | |
| ### train | |
| per_device_train_batch_size: 1 | |
| gradient_accumulation_steps: 8 | |
| learning_rate: 5.0e-6 | |
| num_train_epochs: 3.0 | |
| lr_scheduler_type: cosine | |
| warmup_ratio: 0.1 | |
| bf16: true | |
| ddp_timeout: 180000000 | |
| ### eval | |
| val_size: 0.1 | |
| per_device_eval_batch_size: 1 | |
| eval_strategy: steps | |
| eval_steps: 500 | |