| ### model | |
| model_name_or_path: /data/wyt/codes/checkpoints/Qwen2.5-7B-Instruct | |
| trust_remote_code: true | |
| ### method | |
| stage: sft | |
| do_train: true | |
| finetuning_type: full | |
| deepspeed: /data/wyt/codes/DocDPO/sft/checkpoints_multilang/ds_z3_config.json # choices: [ds_z0_config.json, ds_z2_config.json, ds_z3_config.json] | |
| ### dataset | |
| dataset_dir: /data/wyt/codes/DocDPO/sft/data_multilang/red_multilang_base_balanced_en_zhdefr_320 | |
| dataset: sft_en-zh_tool,sft_en-zh_trans_base_sample,sft_en-de_tool,sft_en-de_trans_base_sample,sft_en-fr_tool,sft_en-fr_trans_base_sample | |
| template: qwen | |
| cutoff_len: 2560 | |
| # max_samples: 1000 | |
| overwrite_cache: true | |
| preprocessing_num_workers: 16 | |
| dataloader_num_workers: 4 | |
| mask_history: true | |
| ### output | |
| output_dir: /data/wyt/codes/DocDPO/sft/checkpoints_multilang/ted_base_balanced_en_zhdefr_320/sft | |
| logging_steps: 5 | |
| # save_steps: 300 | |
| save_strategy: epoch | |
| plot_loss: true | |
| overwrite_output_dir: true | |
| save_only_model: true | |
| report_to: tensorboard # choices: [none, wandb, tensorboard, swanlab, mlflow] | |
| ### train | |
| per_device_train_batch_size: 4 | |
| gradient_accumulation_steps: 2 | |
| # learning_rate: 2.0e-5 | |
| # learning_rate: 8.0e-6 | |
| learning_rate: 1.0e-5 | |
| num_train_epochs: 1.0 | |
| lr_scheduler_type: cosine | |
| warmup_ratio: 0.1 | |
| bf16: true | |
| ddp_timeout: 180000000 | |
| resume_from_checkpoint: null | |
| ### eval | |
| # eval_dataset: alpaca_en_demo | |
| # val_size: 0.1 | |
| # per_device_eval_batch_size: 1 | |
| # eval_strategy: steps | |
| # eval_steps: 500 |