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@@ -8,4 +8,12 @@ pipeline_tag: question-answering
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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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  ---
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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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+ 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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+ ```