frankminors123
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Update README.md
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README.md
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We trained a Chinese version of Shepherd based on Chinese-LLaMA-2-7B, and we used 2 V100 GPUs with 32G for supervised fine-tuning based on LoRA.
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We designed the appropriate prompt template, and the dataset we used has been published in this HuggingFace repository: frankminors123/chinese-shepherd-critic-dataset, please go to the data page to view details.
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---
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We trained a Chinese version of Shepherd based on Chinese-LLaMA-2-7B, and we used 2 V100 GPUs with 32G for supervised fine-tuning based on LoRA.
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We designed the appropriate prompt template, and the dataset we used has been published in this HuggingFace repository: frankminors123/chinese-shepherd-critic-dataset, please go to the data page to view details.
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The prompt template used is as follows:
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```python
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PROMPT_TEMPLATE = (
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"请试着评论下面问题的答案.\n"
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"### 问题:\n{question}\n### 答案:\n{answer}\n### 评论:\n"
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)
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```
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