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

Fine-tuning the TRN model (InceptionV3 backbone) trained on the Moments for something-something-v2 dataset #16

Open
pencilzhang opened this issue Apr 11, 2019 · 2 comments

Comments

@pencilzhang
Copy link

Hi Bolei:
Thanks for your great work!

I am using the TRN model trained on the Moments to fine-tune it on the sth-sth-V2 dataset.
The model seems to overfit after 25 epochs. Right now I am using the default hyper parameters settings in TRN opts.

I am wondering if you did transferring TRN on the sth-sth dataset or any suggestions would be appreciate! Thanks!

@pencilzhang
Copy link
Author

After observing many epochs, I found the above issue seems to be normal training loss fluctuation.

@pencilzhang
Copy link
Author

still seems to be significant overfitting after 50 epochs...

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