Closed alexzhang0825 closed 3 years ago
In machine learning, there are two datasets 'training' dataset and 'test' dataset. During training, we train a model on the training dataset. and after an epoch, we evaluate the performance of the model on the test dataset.
Sorry if this question seems rudimentary. After every epoch there are two numbers, eval and train, and I was wondering that what exactly the differences between these two are.