Skip to content
This repository has been archived by the owner on Oct 31, 2023. It is now read-only.

resnet backbone dont converge #48

Open
victor00070 opened this issue Dec 24, 2022 · 1 comment
Open

resnet backbone dont converge #48

victor00070 opened this issue Dec 24, 2022 · 1 comment

Comments

@victor00070
Copy link

I changed the backbone from vgg to resnet50. First, I have to use very low learning rate otherwise training diverges. Second, mAP is usually lower than vgg backbone adaptive teacher even if I train long. How can I achieve good performance with resnet50 backbone?
I am using gradient clipping and learning rate of 0.001 to stop diverging.

@yujheli
Copy link
Contributor

yujheli commented Jan 5, 2023

By VGG you mean you train the model on the cityscapes dataset? The config file for clipart is using Resnet-101 and it is working. Replacing with ResNet50 should not be an issue with a similar config file.

Sign up for free to subscribe to this conversation on GitHub. Already have an account? Sign in.
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants