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Hello, thanks for your job.
I have a question about different loss function, is there any difference for performance when using different loss function, like crf_loss and softmax_loss?
thanks.
OYE93 updated
4 years ago
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Hi, here is a issue that if I use the original parameters, the performance is quite low. After I increased the epochs to 15, the F1 of CONLL03 is only 77%.
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Hey,
is it possible to fine-tune on another dataset? I fed in my own data with different labels. But this causes a mismatch of tensors. Of course, I could match the labels (it's just naming) but tha…
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Do you have a plan to reproduce the BERT NER model? I tried, but with Bert_base, the best micro-avg Test F1 on CoNLL-2003 is 91.37, while the reported in the paper is 92.4.
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我的复现步骤如下：
1. 下载https://drive.google.com/file/d/1gX9YYcGpR44BsUgoJDtbWqV-4PsaWpq1/view?usp=sharing 文件，解压到model/bert目录
2. 将train.sh中的dname改为SIGHAN15
3. 运行sh train.sh开始训练
读取数据的日志正常：
`
16541
Mo…
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I have modified the TPUEstimator to use the [BestExporter](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/estimator/BestExporter), so with features spec and examples:
```python
def s…
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## Checklist
- [ x ] I have verified that the issue exists against the `main` branch of AllenNLP.
- [ x ] I have read the relevant section in the [contribution guide](https://github.com/al…
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Hi,
I read your code and found there are two problems that hinder the performance improvement.
First, as I know, previous papers use head words of entity mentions as the candidate arguments, but…
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I'm training BERT for NER fine-tuning (starting from [this](https://github.com/kyzhouhzau/BERT-NER) example) using the estimator `TPUEstimator`. This normally works ok. When adding the [BestExporter](…
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