I am observing a difference in the model’s performance when I save my model load separately for testing on testing data. So, the accuracy is very bad when I load the model from the path whereas the accuracy of my model is very good when the testing is performed in continuation after training and validation.
I wonder what causes such a difference?
Currently, the model I am talking about is an Autoencoder with a classifier attached at the end and the training is done simultaneously for both autoencoder and classifier.