| model_name_or_path: Qwen/Qwen2.5-VL-7B-Instruct | |
| image_max_pixels: 262144 | |
| video_max_pixels: 16384 | |
| trust_remote_code: true | |
| ### method | |
| stage: sft | |
| do_train: true | |
| finetuning_type: lora | |
| lora_rank: 32 | |
| lora_target: all | |
| ### dataset | |
| dataset: EditScore-Reward-Data | |
| template: qwen2_vl | |
| cutoff_len: 8192 | |
| max_samples: 100000 | |
| overwrite_cache: true | |
| preprocessing_num_workers: 16 | |
| dataloader_num_workers: 4 | |
| ### output | |
| output_dir: LLaMA-Factory/output/editscore_7B/ | |
| logging_steps: 1 | |
| save_steps: 250 | |
| plot_loss: true | |
| overwrite_output_dir: true | |
| save_only_model: false | |
| report_to: none # choices: [none, wandb, tensorboard, swanlab, mlflow] | |
| ### train | |
| per_device_train_batch_size: 1 | |
| gradient_accumulation_steps: 16 | |
| learning_rate: 1.0e-4 | |
| num_train_epochs: 3.0 | |
| lr_scheduler_type: cosine | |
| warmup_ratio: 0.1 | |
| bf16: true | |
| ddp_timeout: 180000000 | |
| resume_from_checkpoint: null | |