I’ve looked through the callbacks docs, but I can’t find a way to stop early on fit_one_cycle(), with a specified error_rate.
I want to look at what images are failing to be correctly classified at a certain point in training. (I’m experimenting with selective preprocessing on my dataset, and it would be useful to quickly see what fails)