This is a more open-ended question. Suppose you’ve trained a model and after looking at the loss curve you see it hasn’t learned (the loss curve is flat). What sort of things would you begin to investigate to understand what might be the cause? Additionally, what sort of things might you log apriori to help you debug a model that didn’t learn (in the event that it happened)?