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--- |
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library_name: peft |
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--- |
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模型功能: 古诗句接龙 based on baichuan-inc/Baichuan-7B |
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## Training procedure |
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``` |
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CUDA_VISIBLE_DEVICES=0 python src/train_bash.py --stage sft --model_name_or_path baichuan-inc/Baichuan-7B --do_train --dataset alpaca_gpt4_zh --template default --finetuning_type lora --output_dir path_to_sft_checkpoint --overwrite_cache --per_device_train_batch_size 4 --gradient_accumulation_steps 4 --lr_scheduler_type cosine --logging_steps 10 --save_steps 1000 --learning_rate 5e-5 --num_train_epochs 20 --plot_loss --fp16 --lora_target W_pack |
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``` |
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### Framework versions |
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- PEFT 0.4.0 |
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## Test |
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