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