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原有代码逻辑，似乎会在process_batch_eval这一步中将一轮对话中role为user和assistant拆成两轮，后续计算label_token和pred_token的rouge分数的时候，user文本和模型和当前文本预测输出文本做相似度，在compute_metrics里面用奇偶分开读取batched_pred_ids和batched_pred_ids
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该问题已经在这个commit中合并 #39 |
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原有代码逻辑，似乎会在process_batch_eval这一步中将一轮对话中role为user和assistant拆成两轮，后续计算label_token和pred_token的rouge分数的时候，user文本和模型和当前文本预测输出文本做相似度，在compute_metrics里面用奇偶分开读取batched_pred_ids和batched_pred_ids