I have a question and need an explanation. I trained a DNN on a dataset of speech embeddings. The validation accuracy during the training is 99.5% then I stopped the training and save the best model. When I did the inference on the test dataset the accuracy is 91% which is acceptable. The problem is when did the inference on the validation set the accuracy should be approximately the same but in my case, it is 84%. Can someone give me an explanation for this?