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你的textcnn实验，只要把学习率调大一个数量级，没有预训练也可以得到一样的结果 #18

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wykdg opened this issue Dec 5, 2018 · 5 comments
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你的textcnn实验，只要把学习率调大一个数量级，没有预训练也可以得到一样的结果 #18

wykdg opened this issue Dec 5, 2018 · 5 comments

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@wykdg
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wykdg commented Dec 5, 2018

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@myeclipse
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真相了。。。

@brightmart
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不会吧。使用大规模的语料预训练，对准确率提升没有帮助吗？

@wykdg
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wykdg commented Dec 5, 2019

你这个实验调了一个非常小的学习率，导致没预训练的textcnn训练不起来而已。模型太小了，预训练的意义不大

@henrycCoder
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textcnn如何预训练？我觉得这根本就不可行！
textcnn跟transformer结构不一样，textcnn经过卷积池化之后，所有的文本都表示成了一个向量，根本没法取出对应mask位置的词向量 作词表的映射，又谈何做mask工作？此外，bert_cnn_model.py 也没有预训练textcnn的code. @brightmart @wykdg

@wykdg
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wykdg commented Apr 25, 2020

还有人at我。。。这个就是他前年蹭热点乱写的代码而已。。一点意义都没啊

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4 participants
@myeclipse @wykdg @brightmart @henrycCoder