specific method · filed under optimization
Elevated constant-learning-rate training stability stress test
Tests stability by raising and holding the learning rate constant to reproduce large-scale instabilities at moderate model scale.
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We verify training stability under stress tests that reproduce large-scale instabilities at moderate model scale by raising the learning rate and keeping a constant learning rate.
usedunclearin Qwen3.8-Flash-NextQwen
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Other methods under optimization :: training stability.
Weight paddingActivation or logit clippingAnti-hallucination trainingBehavioral regularizationCross-replica model-weight hash consistency checksExponential moving average of checkpointsGradient clippingLearning-rate elevation for training stability stress testingLoss masking for excessively stale tokensOff-policy sample filteringPer-token regularization for off-policy RLSafeguards against training drift and reward hackingSoft droppingTraining stability stress testingWeight clippingWeight decay coupled to learning-rate squared