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def make_conversation(example): return { "prompt": [ {"role": "system", "content": SYSTEM_PROMPT}, {"role": "user", "content": example["problem"]}, ], } QUESTION_TEMPLATE = "{Question} Output the thinking process in <think> </think> and final answer (number) in <answer> </answer> tags." def make_conversation_image(example): return { "prompt": [ { "role": "user", "content": [ {"type": "image"}, {"type": "text", "text": QUESTION_TEMPLATE.format(Question=example["problem"])}, ], }, ], }
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个人猜测,Qwen2vl的system prompt应该是You are Qwen XXXXXXXX XXXX 这个。如果加入system prompt也许对instruct的模型的训练造成不良影响,因为前面那一段的system prompt被替换了?或许base模型可以替换system prompt。
以上仅供猜测🥲🥲
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可以实验验证一下, 加入和不加入的效果对比
这好像是因为qwen在huggingface上给的例子就没有放在system prompt中。
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The text was updated successfully, but these errors were encountered: