2024-04-02 20:07:43 +08:00
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#!/bin/bash
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2024-05-02 17:16:02 +08:00
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# use `--tokenized_path` in training script to load data
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2024-04-02 20:07:43 +08:00
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2024-05-03 02:58:23 +08:00
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CUDA_VISIBLE_DEVICES= llamafactory-cli train \
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2024-04-02 20:07:43 +08:00
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--stage sft \
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--do_train \
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--model_name_or_path meta-llama/Llama-2-7b-hf \
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--dataset alpaca_gpt4_en,glaive_toolcall \
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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/sft \
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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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--max_samples 3000 \
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--tokenized_path ../../saves/datasets/sft
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