Skip to content
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.

Sign up for GitHub

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

Jump to bottom

using Keras Lr Finder with Ernie #20

Open
Karim-Baig opened this issue Dec 4, 2020 · 0 comments
Open

using Keras Lr Finder with Ernie #20

Karim-Baig opened this issue Dec 4, 2020 · 0 comments

Comments

@Karim-Baig
Copy link

Thanks for this great package.
While finding the optimal learning rate using Keras Lr Finder , how could this be incorporated.

from keras_lr_finder import LRFinder
classifier=SentenceClassifier(model_name=Models.BertBaseUncased,max_length=256, labels_no=2)
classifier.load_dataset(train1,validation_split=0.1)
lr_finder = LRFinder(classifier)
lr_finder.find(classifier, 0.0001, 1, 5, 1)

This gives an error . Could you please suggest an alternative for using this or any other way for getting the optimal learning rate.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@Karim-Baig