Hi, Thanks for replying.
I have 10,777 images for a medical dataset, which I divided according to 80-20 rule.
There are 3 classes which I want to classify. Training set distribution is  - 3287,2675,3737 images.
Dev and test set is - 179,180,180.
I am using transfer learning and using efficient net .
Image size is 2048,2048. I am resizing them to different sizes (64,64),(128,128),(224,224),(512,512),(1024,104) but the results are same in every dataset.