Comments (3)
Hi, in my experiment the performance of bert is really sensitive to the choice of optimizer and learning rate.
I will upload the scripts for training bert as soon as possible.
from g2pm.
Hi, in my experiment the performance of bert is really sensitive to the choice of optimizer and learning rate.
I will upload the scripts for training bert as soon as possible.
Thank you!
I also want to know that in your bert, the output of fc layer is the number of this polyphonic character's possible pinyin classes or all polyphonic characters?
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Yes the number of output of fc layer is the number of all possible pinyins for polyphonic character.
Here is the code for training bert.
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Related Issues (17)
- can you open train data?thanks
- polyphone's classification HOT 1
- which Chinese Bert model ? which repo? HOT 1
- how to new data? HOT 1
- It seems that the result of g2pM model is worse than that of pypinyin model?
- Two suggestions
- numpy and pytorch predict logits result don't match
- how to use Bert model?
- Can not reproduce the result.
- Training Data Explanation HOT 2
- Pronunciation of "A" HOT 1
- what does the special PinYin "xx5" used for HOT 2
- Why the count of polys in cedict is larger then that in corpus HOT 2
- suggestion to change some Pinyin style HOT 1
- 论文示例里的数据输出错误 HOT 5
- the project can not beat pypinyin! HOT 3
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