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

problem about feat0 #14

Closed
TSAAAAA opened this issue Dec 19, 2023 · 1 comment
Closed

problem about feat0 #14

TSAAAAA opened this issue Dec 19, 2023 · 1 comment

Comments

@TSAAAAA
Copy link

TSAAAAA commented Dec 19, 2023

how to save feat0? Does this mean that fine_tuning is not required in categories with FE_epoch =0?
In code feature_extractor.py the model "feat" is saved from 1. Does this mean that I should set DA_chp=1?
image
I can hardly repeat "carpet" experiment with w=0, load_chp=2500, and DA_chp=1.
image
image
I am curious at what step I went wrong. Looking forward to your reply.

@arimousa
Copy link
Owner

Hi, I fixed the problem in the code. Now feat0 will be saved after running the code. As you correctly said, feat0 means no domain adaptation. You can simply set DA_chp=0.

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