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

Which parameter will be better for Stanford Dogs? #1

Open
vba34520 opened this issue Aug 18, 2021 · 0 comments
Open

Which parameter will be better for Stanford Dogs? #1

vba34520 opened this issue Aug 18, 2021 · 0 comments

Comments

@vba34520
Copy link

First of all, thank you for your work!

Train on the Stanford Dogs Dataset

python train.py --init-lr 0 --progressive-resizing 224 224 --dataset-dir dataset/dogs --epochs 10000 --batch-size 32 --weights imagenet

Early stop at epoch 88 with the best_weight_EfficientNetB0_val_loss:0.018_val_acc:0.822_epoch:68.h5

Which parameter should I choose to improve the performance?

Looking forward to your reply !

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