Comments (7)
ProHiryu
commented on July 2, 2024
Bert自动分词的，分出来的token形如：["do", "ing"]，这样子，为了避免token出错，出现多个字在同一个list当中，需要加入X这个容错机制，防止label和inputs长度不同，可以理解为中文当中是没用的。
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xljhtq
commented on July 2, 2024
@ProHiryu 照理bert tokenize出来的就是字呀，怎么会有多余的字在token这个list中呢？请解释一下，而且demo中的训练文本也没有打印出这个特例。。
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Robets2020
commented on July 2, 2024
主要是英文下用的比如doing会分成do ##ing, tag只算在前面那个词上, 后面那个词的tag就是X
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icecity96
commented on July 2, 2024
@roberts-sh 所以X这个tag再中文环境下其实是没用的？
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ProHiryu
commented on July 2, 2024
中文当中X并不存在实际意义 @icecity96 , 已经更新代码
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alphanlp
commented on July 2, 2024
中文一般都会混合英文，去掉会有潜在bug风险，建议加上
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ProHiryu
commented on July 2, 2024
@shisi2015 多谢提醒
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Related Issues (20)
- 你好，在测试集上的结果（精确率，召回率，F1值）没有输出吗 HOT 2
- No such file or directory: './output/label2id.pkl'怎么解决 HOT 1
- 可不可以添加一个license？ HOT 1
- killed问题 HOT 1
- 结果全为O问题 HOT 10
- 全局步长未增长，正常吗？
- 请问一下您的环境是py2吗？ HOT 5
- 数据集 HOT 2
- tensorflow.python.framework.errors_impl.FailedPreconditionError: output/result_dir/train.tf_record; Is a directory HOT 1
- How to save the model with the best f1 score in verification when training in multiple rounds？ HOT 3
- The label_map starts from 1 not 0. How do you avoid getting predicted label == 0 HOT 1
- FileNotFoundError: [Errno 2] No such file or directory: './output/label2id.pkl' HOT 1
- How to get word vector by the fine-tuned Bert? HOT 1
- Hello, I would like to ask, how to use the model to predict the new input data HOT 1
- 如何输出每一类的precision，recall和f1呢？ HOT 1
- _read_data 读出来是个空，这段有问题吧？？？ HOT 1
- 请问，如何使用tenorflow-serving 进行相应的部署呢。您有相关资料或代码吗？ HOT 2
- 为什么label_test.txt文件比token_test.txt文件多出许多行呢？ HOT 2
- 关于结果
- 训练过程一直持续不停止 HOT 2
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