LMFlow
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训练时是将多个instruction合并起来训练还是一个instruct训练一次 ?
我看训练文本是text only,在训练时好像没有区分instruction和output,是直接concat在一起训练的吗?
目前开源的数据是这样的。不过代码里已经支持了text2text
的训练。可以将数据转换成text2text
的格式,然后进行训练。
Currently, the open-source data is like this. However, our code already supports training for text2text
. It can be converted into the format of text2text
, and then trained.
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