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.

Sign up for GitHub

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

Jump to bottom

Copy wandb param dict before training to avoid overwrites. #7317

Merged
merged 2 commits into from
Apr 6, 2022
Merged

Copy wandb param dict before training to avoid overwrites. #7317

merged 2 commits into from
Apr 6, 2022

Commits on Apr 6, 2022

  1. Copy wandb param dict before training to avoid overwrites. 

    Copy the hyperparameter dict retrieved from wandb configuration before passing it to `train()`. Training overwrites parameters in the dictionary (eg scaling obj/box/cls gains), which causes the values reported in wandb to not match the input values. This is confusing as it makes it hard to reproduce a run, and also throws off wandb's Bayesian sweep algorithm.
    @n1mmy
    n1mmy committed Apr 6, 2022
    Configuration menu
    Copy the full SHA
    5748cb3 View commit details
    Browse the repository at this point in the history

  2. Cleanup

    @glenn-jocher
    glenn-jocher authored Apr 6, 2022
    Configuration menu
    Copy the full SHA
    323db28 View commit details
    Browse the repository at this point in the history