Hi students. I understand that Training loss decreasing relative to Validation indicates overfitting. Which I interpret intuitively as the model memorizing training examples and their classes.
But what if Validation loss and Accuracy continue to improve at the same time?
What I’d like to know:
Intuitively, in this situation, what is going on for the model and training?
How to respond to it in practice?
Thanks for your insights.