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

what are the training hyper parameters to get top1 acc>0.87? #14

Open
wjtan99 opened this issue Jun 27, 2019 · 6 comments
Open

what are the training hyper parameters to get top1 acc>0.87? #14

wjtan99 opened this issue Jun 27, 2019 · 6 comments

Comments

@wjtan99
Copy link

wjtan99 commented Jun 27, 2019

What are the training hyper parameters to get top1 acc>0.87, like batch, lr strategy? and how many epochs do you run?
I can only get 0.83 on the CUB_200_2001. I divided the data sets to 70% training, 30% validation.
Please do not close the issues so fast.
Thanks.

@doublemanyu
Copy link

What are the training hyper parameters to get top1 acc>0.87, like batch, lr strategy? and how many epochs do you run?
I can only get 0.83 on the CUB_200_2001. I divided the data sets to 70% training, 30% validation.
Please do not close the issues so fast.
Thanks.

Hi, do you implement the non-random initialization ?

@wjtan99
Copy link
Author

wjtan99 commented Jul 1, 2019

I used https://github.com/Ien001/non-random-initialization-for-DFL-CNN.
What accuracy can you get? If you can get >0.85, can you share your training parameters?

@wjtan99
Copy link
Author

wjtan99 commented Aug 16, 2019

@songdejia By running run.sh, I cannot even get acc ~ 0.85 using the split train and test data you posted. What is strategy you used in terms of learning rate and other parameters?

@lemonrr
Copy link

lemonrr commented Mar 18, 2020

What are the training hyper parameters to get top1 acc>0.87, like batch, lr strategy? and how many epochs do you run?
I can only get 0.83 on the CUB_200_2001. I divided the data sets to 70% training, 30% validation.
Please do not close the issues so fast.
Thanks.

Hi, what are you hyper-parameters? I can only get ~79%

@aparnaambarapu
Copy link

@lemonrr Hi can you share your weights where you got 79% accuracy. It would be really helpful!!

@aparnaambarapu
Copy link

What are the training hyper parameters to get top1 acc>0.87, like batch, lr strategy? and how many epochs do you run?
I can only get 0.83 on the CUB_200_2001. I divided the data sets to 70% training, 30% validation.
Please do not close the issues so fast.
Thanks.

@wjtan99 Can you share the weights and code where you got 83% accuracy? Thanks!!

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

4 participants