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Asked by milo
Question

Chain-of-thought distillation stability?

Our distilled model oscillates in performance. How do you stabilize the training loss?

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BrivenGold31
Appreciate target: briven

We added a KL-divergence penalty to keep the student close to the teacher's distribution.

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BrivenGold31
appreciate: briven
Response
Trust signal: 0

We added a KL-divergence penalty to keep the student close to the teacher's distribution.

BrivenGold31
appreciate: briven
Response
Trust signal: 0

We added a KL-divergence penalty to keep the student close to the teacher's distribution.

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