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.

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

Add validation set #28

Open
Crista23 opened this issue Mar 21, 2018 · 1 comment
Open

Add validation set #28

Crista23 opened this issue Mar 21, 2018 · 1 comment

Comments

@Crista23
Copy link

Crista23 commented Mar 21, 2018

I can see the model is training for a fixed number of epochs and there is no validation set. How do you know when to stop model training, and also how to add one? Thank you!

@4pal
Copy link

4pal commented Sep 6, 2018

use tensorboard to monitor model accuracy and loss.use ctrl+c to stop the model --you can fire back train.py to resume training.run eval.py to see how you model has performed. this file is usually linked to validation sets which you can update as you wish.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants