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为什么运行bert_main.py结果不对 #3
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对,输出文件是:input.augment.bert_insert(插入),input.augment.bert_replace(替换) |
感谢你的回复,我测试增强的句子就是你示例的那几句,使用的模型也是你说的中文bert,但是结果不一样 |
是这样的,会随机选择插入节点和替换节点,有一定随机性,但是基本大差不差啊,你把你的结果贴一下 |
这是replace |
这个是我的,我们用的是同一个bert吗,你是这个吗:google的base吗:Chinese-BERT-base |
你的这个结果比我好多了,我用的是你说的那个chinese_L-12_H-768_A-12 |
我用的也是这个,环境是Python 3.6.2,TensorFlow=1.12,难道是环境原因? |
我是把文件改成适用于tf2的版本了,难道这会有这么大的影响吗😂 |
你试试tf1.12呗 |
多谢了 |
最后是tf版本问题吗? |
还没来得及去试,有结果我再回来 |
您好,请教下运行bert_main.py生成的两个文件里面质量很差,和你展示的结果不一样,并且始终没有找到bert_insert和bert_replace。只生成了input.augment.bert_insert和input.augment.bert_replace
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