We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
作者您好,我在运行MNER代码时,模仿您的bash中的设置进行了run.py程序中的参数设置,但是运行时控制台一直显示loss为NAN, 请问这是什么原因呢12/10/2024 19:42:40 - INFO - main - precision recall f1-score support
AD 0.0000 0.0000 0.0000 0 LOC 0.0000 0.0000 0.0000 731 MISC 0.0000 0.0000 0.0000 701 ORG 0.0000 0.0000 0.0000 1674 PER 0.0000 0.0000 0.0000 2943
micro avg 0.0000 0.0000 0.0000 6049 macro avg 0.0000 0.0000 0.0000 6049 weighted avg 0.0000 0.0000 0.0000 6049 打印出的方阵是这种样式的
The text was updated successfully, but these errors were encountered:
您好,请您检查一下修改的参数是否正确以及安装的包的版本是否与requirements.txt一致。
requirements.txt
Sorry, something went wrong.
您好,参数设置是一样的,但是requirements.txt里边的dataclasses没有对应的版本号,目前好像只有python=3.6才可以下载0.8版本的dataclasses
您好 除了这个dataclasses版本之外,剩下的部分我完全按照您的readme进行配置,还是不可行
No branches or pull requests
作者您好,我在运行MNER代码时,模仿您的bash中的设置进行了run.py程序中的参数设置,但是运行时控制台一直显示loss为NAN, 请问这是什么原因呢12/10/2024 19:42:40 - INFO - main -
precision recall f1-score support
micro avg 0.0000 0.0000 0.0000 6049
macro avg 0.0000 0.0000 0.0000 6049
weighted avg 0.0000 0.0000 0.0000 6049 打印出的方阵是这种样式的
The text was updated successfully, but these errors were encountered: