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

How to calculate the proportion of each loss #35

Closed
Decalogue opened this issue Nov 4, 2019 · 1 comment
Closed

How to calculate the proportion of each loss #35

Decalogue opened this issue Nov 4, 2019 · 1 comment

Comments

@Decalogue
Copy link

Decalogue commented Nov 4, 2019

Hi!
This work is excellent! I want to know how to calculate the proportion of each loss(such as your default value: 0.4,1.5,100,100,1).
Thank you so much!

@pbaylies
Copy link
Owner

pbaylies commented Nov 4, 2019

Hi @Decalogue,

Those numbers are used as scaling factors for the various parts of the loss function; unfortunately, during the course of training, the losses will all influence each other and change over time. They were obtained by trial and error; good luck!

@pbaylies pbaylies closed this as completed Nov 4, 2019
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