How to train a keras model on both original and augmented data from ImageDataGenerator?
ImageDataGenerator do augmentation on the fly base on the setting you give , so it did not separate “original” or “augmented “ data , just the possibility of data been augmented.
so your question actually is “ how to tune model when overfitting happens ”? I think you can start from adding dropout or reduce number of parameters. Hope this helps, cheers.