Just to check if everything is working properly in my neural net, I set my validation data to be the same as my training data, expecting to achieve a better NRMS for validation data (since it uses only the most recently updated weights for calculating the NRMS). But that didn't happen. More often than not, the NRMS was larger for the validation data than for training data. Am I missing something or is this a normal thing? Cause it doesn't make sense to me.