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Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

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我用您的模型在自己的模型上训练, 请问训练过程是 1. random initialization -> fine-tuning with a fixed learning rate 还是 2. freezing the BERT part and training the BiLSTM-CRF part -> fine-tuning the whole network with a...

在训练模型的时候,报了一个这个错误,请问怎么解决。 Process finished with exit code -1073740791 (0xC0000409) ![image](https://user-images.githubusercontent.com/87180243/202937177-59495ff4-634d-4bb8-b0e7-1d43a7f23391.png)

ontonotes5数据集以及跑了16天了,但我发现结果score并没有什么提升了。有时还会差一点。所以我该选最后输出的还是写个脚本比较选出得分最高的呢?

Traceback (most recent call last): File "", line 1, in File "D:\ancanda_new\envs\tensorflow\lib\multiprocessing\spawn.py", line 105, in spawn_main exitcode = _main(fd) File "D:\ancanda_new\envs\tensorflow\lib\multiprocessing\spawn.py", line 115, in _main self = reduction.pickle.load(from_parent) EOFError: Ran...