Also have this doubt
Hi
I’m currently working on a classification model whose input are x-ray images, i need to classify it into the respective disease categories. I have trained resnet 18 (not pretrained )on a data-set of 100 images per class.
I have 1493 images out of which 1045 for training and 448 images for testing (70:30 split).
On running for 50 epochs the training accuracy goes to 97.99 percent, but the testing accuracy isn’t good at all it is just about 30 %
this is plotting loss per epoch

The testing accuracy is low since there arent sufficient images?