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

Temperature parameter in haversine loss function #9

Open
mikelee-dev opened this issue Sep 24, 2024 · 0 comments
Open

Temperature parameter in haversine loss function #9

mikelee-dev opened this issue Sep 24, 2024 · 0 comments

Comments

@mikelee-dev
Copy link

mikelee-dev commented Sep 24, 2024

Hi, how is the temperature parameter in the haversine loss function chosen? Does it have a relationship with the number of geocell classes being predicted?

At the beginning of training, I am observing non-normal haversine loss values such as -0.0, when predicting over 20000 geocells, but not when predicting 2000 geocells. I have tried cross entropy loss without haversine smoothing with the same scenario, and observe loss values in a more normal range.

Thanks!

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

1 participant