| # 2GB | |
| CUDA_VISIBLE_DEVICES=0 \ | |
| swift sft \ | |
| --model Qwen/Qwen2.5-0.5B \ | |
| --train_type lora \ | |
| --dataset 'sentence-transformers/stsb:reg#20000' \ | |
| --torch_dtype bfloat16 \ | |
| --num_train_epochs 1 \ | |
| --per_device_train_batch_size 16 \ | |
| --per_device_eval_batch_size 16 \ | |
| --learning_rate 1e-4 \ | |
| --lora_rank 8 \ | |
| --lora_alpha 32 \ | |
| --target_modules all-linear \ | |
| --gradient_accumulation_steps 1 \ | |
| --eval_steps 100 \ | |
| --save_steps 100 \ | |
| --save_total_limit 2 \ | |
| --logging_steps 5 \ | |
| --max_length 2048 \ | |
| --output_dir output \ | |
| --warmup_ratio 0.05 \ | |
| --dataloader_num_workers 4 \ | |
| --dataset_num_proc 4 \ | |
| --num_labels 1 \ | |
| --task_type seq_cls \ | |
| --use_chat_template false \ | |
| --problem_type regression | |