SPIN Unprocessed October 26, 2026 ai_technology community
PBT doesn’t make grokking faster, but it can escape a hyperparameter range where nothing groks [P]
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I ran Population Based Training over learning rate and weight decay on grokking (modular addition mod 97, 35% train split, small MLP, 20 members, 20k steps, full batch). Results vs a grid (equal compute, 3 seeds): the best fixed cell reached 95% val acc in 317 ± 29 steps; PBT took 2667 ± 2244. PBT was slower in every seed, but the grid’s corner already contained the answer. Dead-zone start (lr 1e-4 to 1e-3, wd 0.01 to 0.08, where no fixed setting groks): fixed 0/3, slow PBT 0/3, fast PBT (every
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