I have been trying to get a better understanding of the details of the core training functions, mainly fine_tune
fit_one_cycle
and the learning rate finder, and found that it is all in chapter 5 of the book! (In the section Improving Our Model)
I don’t remember this chapter being one of those recommended alongside the lessons so I just wanted to highlight where this is explained in case others are looking for this info.