Rare tokens may be the culprit behind loss spikes in LLM training

ZimingLiu11 · x · 2026-11-01

In his Day 5 exposition for @MetaCircleAI, Ziming Liu highlights a persistent pain point in LLM pretraining: loss spikes. One explanation discussed in the linked paper attributes these spikes to rare tokens, where infrequent samples produce abnormally large gradients and cause sudden jumps in training loss.

Related event: KAN author Ziming Liu's new paper: loss spikes are predictable, quadratic loss picture overturned(10 posts)→

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