Address stochasticity in training #37
Description
The current models give rather different outcomes upon re-training. One possibility is that we aren't fully optimizing the models. One could imagine working harder to optimize the models using something like CyclicLR. OTOH, that's at odds with an early-stopping regularization procedure if we wanted to go there.