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

Cannot reproduce the model performance in cylinder #6

Open
wuhaixu2016 opened this issue Sep 2, 2024 · 2 comments
Open

Cannot reproduce the model performance in cylinder #6

wuhaixu2016 opened this issue Sep 2, 2024 · 2 comments

Comments

@wuhaixu2016
Copy link

First of all, thanks for this clean code, which is easy to read and run.

However, I feel weird that when reproducing the code with the default script in README.md, the performance on the cylinder is extremely bad. The training process early stops at around 400 epochs and the predicted result is a noise.

I am wondering if the training epoch is not enough. To ensure reproducibility, I think it is necessary to provide more training details, such as the convergence epoch number of each dataset.

@wuhaixu2016
Copy link
Author

wuhaixu2016 commented Sep 2, 2024

In addition, did you remove the zero points when calculating the relative L2?

@jmsweng
Copy link

jmsweng commented Oct 31, 2024

I was able to reproduce the cylinder results but had to train for more epochs, around 1000 usually seemed to give good results but the number of epochs required also varied depending on the specific GPU I used as well. Occasionally I would get results that mostly contained streaky artifacts, I suspect because the training got stuck in some local minimum, so the learning rate parameter might need some tuning as well.

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