What kind of data are u testing the saved model on?
If it is a separate data(evaluation data) other than the training data then it’s bound to happen
This just means that ur In-sample accuracy is higher than your out-sample accuracy in which case ur model has over-fitted on training data (it memorized the data rather than learn to generalize)