| stage: sft | |
| do_train: true | |
| max_steps: 100 | |
| do_eval: false | |
| save_strategy: steps | |
| save_steps: 50 | |
| logging_steps: 10 | |
| fp16: true | |
| bf16: false | |
| overwrite_output_dir: true | |
| per_device_train_batch_size: 1 | |
| gradient_accumulation_steps: 1 | |
| gradient_checkpointing: true | |
| model_name_or_path: Qwen/Qwen2.5-0.5B | |
| finetuning_type: lora | |
| dataset: my_custom_sft | |
| dataset_dir: /scratch/zrs2020/LlamaFactoryHelper/LLaMA-Factory/data | |
| template: default | |
| cutoff_len: 8096 | |
| val_size: 0.1 | |
| lora_rank: 8 | |
| lora_alpha: 16 | |
| lora_dropout: 0.05 | |
| lora_target: all | |
| output_dir: /scratch/zrs2020/LlamaFactoryHelper/experiments/lf_torch_test__local/checkpoints | |