I'm working on the multi-classification task (6 classes in total), and got almost perfect training and test accuracy (over 99%) based on my trained cnn model. I am trying to know that if my trained model suffers from overfitting or not. Attached are the learning curves of loss and accuracy for that model. The whole training dataset contains roughly 30k samples and the ratio of training to validation dataset is 4:1. Does my loss curve show overfitting?
First, training accuracy is mostly meaningless (so ignore that).
The symptom of over-fitting that you could see with train/val/test accuracy/loss curves is:
Those are symptoms of over-fitting because: you have learned from the training data (training loss became small, training accuracy became good) but that learning doesn't transfer to the validation data.
I don't see that in your curves, so it doesn't appear to be over-fitting.
