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BrikerMan / Kashgari

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
http://kashgari.readthedocs.io/
Apache License 2.0
2.39k stars 441 forks source link

[Question] #323

Closed ztyland closed 4 years ago

ztyland commented 4 years ago

You must follow the issue template and provide as much information as possible. otherwise, this issue will be closed. 请按照 issue 模板要求填写信息。如果没有按照 issue 模板填写，将会忽略并关闭这个 issue

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你好，我在6500条10分类新闻集上测试了基于BERT的BLSTM模型的分类，结果很不理想，ACC只有0.66，想问下想要修改模型参数应该在哪个文件中操作。本人不是计算机专业，望解答，谢谢！！ [A clear and concise description of what you want to know.]

stale[bot] commented 4 years ago

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.