facebookresearch/adaptive_teacher

resnet backbone dont converge

victor00070 opened this issue · 1 comments

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.

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.