introduction
fine-tuning
command
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CUDA_VISIBLE_DEVICES=0 python src/train_bash.py \
--stage sft \
--do_train \
--model_name_or_path ../Mixtral-8x7B-v0.1/ \
--dataset alpaca_en \
--template mistral \
--quantization_bit 4 \
--lora_target q_proj,v_proj \
--output_dir ../FINE/mixtral-alpaca_data_en_52k \
--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 3.0 \
--plot_loss \
--fp16
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