(factor-scheduler step factor)
Assume the weight has been updated by n times, then the learning rate will be base_lr * factor^^(floor(n/step))
Assume the weight has been updated by n times, then the learning rate will be base_lr * factor^^(floor(n/step)) - step int, schedule learning rate after n updates - factor number, the factor for reducing the learning rate
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