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Just get a low accuracy of 75.8 with resnet50 on ImageNet
I train resnet50 on ImageNet with GPUs=8, batchsize=256, learning-rate=0.1, epochs=90, and momentum=0.90. The attained top1 accuracy is 75.80, lower than the reported 76.15. The gap is not marginal on the large-scale ImageNet. Why does the difference exist?
I get 75.644 with resnet50 on ImageNet,I think this might be normal?
It's normal.