edshkim98:

Can someone explain to me that whether my data augmentation technique has actually worsen my model’s performance and if not, should I wait for longer epochs to see the results?


Data augmentation might increase the model performance on the validation dataset, if the data distribution of the test data would be made more similar to the validation distribution.
E.g. if your validation data contains more gaussian noise, adding this preprocessing step to the training might help.