-
-
Notifications
You must be signed in to change notification settings - Fork 131
New issue
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
bad accuracy on test data #31
Comments
Hi there, for semeval task the model is evaluated on test data. However for pre-training, there is no test data as the pre-training is self-supervised. You were probably looking at the code for pre-training. Also the accuracy is evaluated on a multi-class > 2 dataset, so the baseline accuracy is not 0.5. You can use F1 for a better comparison |
已收到您的邮件
|
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Hi, I find your accuracy is calculated on training data, but generally we evaluate the model on test data. I get the accuracy from test data and the result is not that good, is there anything wrong?
The text was updated successfully, but these errors were encountered: