| # sh examples/custom/sft.sh | |
| CUDA_VISIBLE_DEVICES=0 \ | |
| swift sft \ | |
| --custom_register_path examples/custom/dataset.py \ | |
| examples/custom/model.py \ | |
| --model AI-ModelScope/Nemotron-Mini-4B-Instruct \ | |
| --train_type lora \ | |
| --dataset swift/stsb \ | |
| --num_train_epochs 3 \ | |
| --per_device_train_batch_size 1 \ | |
| --per_device_eval_batch_size 1 \ | |
| --learning_rate 1e-4 \ | |
| --lora_rank 8 \ | |
| --lora_alpha 32 \ | |
| --target_modules all-linear \ | |
| --gradient_accumulation_steps 16 \ | |
| --eval_steps 100 \ | |
| --save_steps 100 \ | |
| --save_total_limit 2 \ | |
| --logging_steps 5 \ | |
| --warmup_ratio 0.05 \ | |
| --dataloader_num_workers 4 \ | |
| --max_length 2048 \ | |
| --output_dir output \ | |
| --dataset_num_proc 4 | |