question is sort of is there a precise definition of what fine-tuning means in this setting is there as in like you sort of stop after some amount of time or yeah is there something very specified um the answer is like not really you're really just sort of training to convergence or pretty much you're mostly stopping once you see that like validation losses converged yeah but okay so okay so so let's let's take out let's breeze through the first part um so first part we're gonna just try and evaluate the actual performance