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您好,关于release2.0版本提及的1.通过数据集清洗再训练,缓解了先前版本经过Agent/工具学习训练后对原有知识的灾难性遗忘,
1.通过数据集清洗再训练,缓解了先前版本经过Agent/工具学习训练后对原有知识的灾难性遗忘,
能否问一下在SFT中具体采用的方法吗?包括通用数据具体采用了何种数据集,和专业数据的具体比例,以及训练前数据预处理过程?是否需要shuffle?或者别的处理?
The text was updated successfully, but these errors were encountered:
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您好,关于release2.0版本提及的
1.通过数据集清洗再训练,缓解了先前版本经过Agent/工具学习训练后对原有知识的灾难性遗忘,
能否问一下在SFT中具体采用的方法吗?包括通用数据具体采用了何种数据集,和专业数据的具体比例,以及训练前数据预处理过程?是否需要shuffle?或者别的处理?
The text was updated successfully, but these errors were encountered: