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  license: mit
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  license: mit
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+
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+ Alpaca Lora adapter weight fine-tuned on following instruction dataset.
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+ https://huggingface.co/datasets/rewoo/planner_instruction_tuning_2k/blob/main/README.md
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+ We use following parameter.
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+ ```
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+ python finetune.py \
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+ --base_model 'decapoda-research/llama-7b-hf' \
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+ --data_path 'rewoo/planner_instruction_tuning_2k' \
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+ --output_dir './lora-alpaca-planner' \
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+ --batch_size 128 \
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+ --micro_batch_size 8 \
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+ --num_epochs 10 \
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+ --learning_rate 1e-4 \
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+ --cutoff_len 1024 \
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+ --val_set_size 200 \
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+ --lora_r 8 \
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+ --lora_alpha 16 \
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+ --lora_dropout 0.05 \
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+ --lora_target_modules '[q_proj,v_proj]' \
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+ --train_on_inputs \
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+ --group_by_length \
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+ --resume_from_checkpoint 'tloen/alpaca-lora-7b'
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+ ```