An ML Experience: The Measuring Devil in Disguise
What a stubborn training log taught me about measuring before tuning I learned this one the slow way: most “stuck” models were never moving in the first place. I spent days staring at a training log that refused to budge. Validation loss bouncing in a narrow band, accuracy wobbling literally around the same values, epoch […]