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View Code? Open in Web Editor NEWBERT distillation(基于BERT的蒸馏实验 )
BERT distillation(基于BERT的蒸馏实验 )
您好,
非常感谢分享代码!
我有一个疑问,在distill.py蒸馏训练后,test.py的run_distill()里只用到了bert模型预测的标签作为数据的训练标签,并没有使用distill.py蒸馏的模型,这是什么原理呢?
还望解答,谢谢!
" np.random.rand() > p_mask" 而不是 " np.random.rand() < p_mask"
测试的时候用的是验证集的数据,而验证集的数据也用来训练了,这里有问题吧
论文中提高的是使用logits,但是提交的代码是softmax后的结果,请问这里是由什么原因吗?
运行test.py时报错,No such file or directory: 'data/cache/word2vec'
找了一个200维的明文词向量改了名字算是糊弄过去了。utils里还改了一下维度。
然后运行distll、small时报错, No such file or directory: 'data/cache/t_tr'
这个又是什么文件?能否提供下载?
Line 103 in ceed9c9
您好,能请教一个问题吗?我在运行python ptbert.py的时候报了上面的错,显示错误在pooled_output = self.dropout(pooled_output)这一行,打印出pooled_output是'pooler_output'这个东西,是个str不是tensor,这就很奇怪了,_, pooled_output = self.bert(input_ids, None, input_mask),为什么bert出来的pooled_output就是'pooler_output'呢?我不知道是哪里错了,还望能指点下吗?非常感谢大佬!
首先感谢分享代码,我看distill.py有个疑问,最后输出的准确率是dev集上的结果,而默认teach_on_dev = True,这样相当于用dev集合在训练,这会导致测试效果虚高吧?
作者,你好,我想问一下,你使用的数据集是什么数据集?
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