forked from super_cognition/zhuoshi_llm_factory
34 lines
960 B
Bash
34 lines
960 B
Bash
#!/bin/bash
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CUDA_VISIBLE_DEVICES=0 python ../../src/train_bash.py \
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--stage rm \
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--do_train \
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--model_name_or_path meta-llama/Llama-2-7b-hf \
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--adapter_name_or_path ../../saves/LLaMA2-7B/lora/sft \
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--create_new_adapter \
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--dataset orca_rlhf \
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--dataset_dir ../../data \
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--template default \
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--finetuning_type lora \
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--lora_target q_proj,v_proj \
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--output_dir ../../saves/LLaMA2-7B/lora/reward \
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--overwrite_cache \
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--overwrite_output_dir \
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--cutoff_len 1024 \
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--preprocessing_num_workers 16 \
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--per_device_train_batch_size 1 \
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--per_device_eval_batch_size 1 \
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--gradient_accumulation_steps 8 \
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--lr_scheduler_type cosine \
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--logging_steps 10 \
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--warmup_steps 20 \
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--save_steps 100 \
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--eval_steps 100 \
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--evaluation_strategy steps \
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--learning_rate 1e-5 \
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--num_train_epochs 1.0 \
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--max_samples 5000 \
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--val_size 0.1 \
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--plot_loss \
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--fp16
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