I could not understand a paragraph in super-convergence paper by LN Smith

[jithinrocs (Jithin James)]

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Fantastic. This attempt to see how pieces of the training puzzle interact is really insightful, and scarce. His proxy for superconvergence, learning rate policy “1cycle”, is easy to replicate with fast.ai cycle_len and cycle_mult, (it implies always using only two cycles, though) quoting: Here we suggest a slight modification of cyclical learning rate policy for super-convergence; always use one cycle that is smaller than the total number of iterations/epochs and allow the learning rate to …