Hi, I am using a pretrianed 3d resnet on brain mri images to do binary classification. My problem is that validation error and auc never decreases while training error decreases very fast and auc of training goes up to 1.
Im using a batch size of 2 and SGD optimizer with lr 0.001. I also do minMax normalization on the input.
Here is what the train/val loss graph looks like:
