NLP, Transfer Learning, Language Model, Ulmfit, Text Classification.
when you find that your model cannot learn on your training data and that your training loss does not converge to 0 at all. On the opposite, a model over fits when it learns “too well” to model your training data but that performance remains low on the test data. That is a sign that your model is