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OptimizationMultiple choiceMedium

Your ResNet-50 trains well with SGD at batch 256, and you move to batch 8,192 across 256 GPUs. At the old learning rate the large-batch run ends clearly less accurate.

You can't add epochs: the time budget is fixed.

How would you set the learning rate so the big-batch run matches the small one?