I am working on the Plant Patology kaggle problem and I tried to use the same image resizing trick that was used in Lesson 3 for “Planet: Understanding the Amazon from Space” problem.
Specifically, what I did was:
Freeze and Train with image size = 256 (Also you can see the transformation I did):
As you can see, clearly resizing the training images to 512 from 256 doesn’t help at all. But, it did help in the Planet problem shown in Lesson 3. Why is that? Can we not consider resizing and training as a rule of thumb to improving results?
Did you not do a lr_find after the unfreeze? unfreeze allows many more parameters to be trainable, which can affect what learning rate your would want to use.