Comments (2)
HaoZhongkai
commented on July 28, 2024
Hello! For scaling experiments, most parameters should be kept fixed and others should have a clear relationship with your dataset size. Fo cyclic learning rate scheduler, it has two parameters, steps_per_epoch and epochs to automatically control the learning rate. So if the number of epochs is kept the same, the lr is the same at every given epoch for different data sizes. The difference is we train more batches using each learning rate in the cycle.
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BraveDrXuTF
commented on July 28, 2024
Got it, thanks.
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