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Learning Rate

How far each gradient step moves the weights.

concept Algorithmes 3 relationships

Aperçu

The learning rate sets the size of the step taken against the gradient. It solves nothing by itself, but it is the single most consequential training setting: too large and the loss diverges, too small and training never finishes. It exists as the reason schedules and warmups exist, since the best value changes over the course of a run.

Graphe des technologies

Comment Learning Rate se rattache au reste de la pile.

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