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

Model does not converge on CD2014 dataset #18

Open
PhiAbs opened this issue Jan 24, 2020 · 1 comment
Open

Model does not converge on CD2014 dataset #18

PhiAbs opened this issue Jan 24, 2020 · 1 comment

Comments

@PhiAbs
Copy link

PhiAbs commented Jan 24, 2020

I am currently trying to train the model on the CD2014 dataset (deeplabv2 as a backbone).
I tried two different methods for training:

  • Method 1: I used the predefined parameter for learning, except for the learning rate which I set to 1e-10 (because in an earlier test, I had the impression that 1e-7 was too large). I also adjusted the code such that I can train with batch_size > 1.
  • Method 2: basically the same as for method 1, but I applied gradient clipping with max_norm=5.

The problem is that the model does not converge for either training method. Did anybody also have that issue? How did you solve it? What parameters did you use for training? How long did you have to train?

@Syzcannot
Copy link

what is your Pytorch version?

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