ml-recall

#cosine-annealing

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mediumAI-checkedDecision Trees & Ensembles

Snapshot ensembling uses the cyclic cosine schedule $\alpha(t) = \dfrac{\alpha_0}{2}\left(\cos\left(\dfrac{\pi \bmod(t - 1, \lceil T/M \rceil)}{\lceil T/M \rceil}\right) + 1\right)$ , where $t$ counts the updates, $T$ is their total number and $M$ the number of cycles. With $\alpha_0 = 0.1$ , $T = 300$ and $M = 6$ , what is the learning rate at $t = 26$ ?

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