Model techniques map
Techniquestraining objectiveauxiliary loss

ambiguous · filed under training objective

MoE sequence auxiliary loss

An auxiliary loss for a mixture-of-experts model, with the evidence specifying its coefficient but not its mechanism.

Also called MoE sequence auxiliary loss coefficient.

source
1
model
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lab adopt it
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strongest
used

How sources treat it

One count per evidence span, weakest treatment to strongest.

used 1

Documented in

Evidence

1 span quoted from the sources, strongest treatment first.

the MoE sequence auxiliary loss coefficient is set to 0.01

usedtraining objectivein MiMo-V2-FlashXiaomi

Filed alongside

Other methods under training objective :: auxiliary loss.