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Help needed on reproducing the performance on Cifar-100 #14
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Hi @wishforgood |
Not yet, at last I decided to try other models like wide-resnet. |
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I used the default setting(which I think is Densenet-12-BC with data augmentation) on cifar-100(via just changing the name of
dataset
class and thenClasses
variable). The training curve looks like this:Though the training has not ended yet, from training curves for other networks on Cifar-100 I can tell there would be no more major changes in acc. The highest of acc for now is 75.59%, which can only match the reported performance of Densenet-12(depth 40) with data augmentation.
Has any one tested this repo on Cifar-100 yet?
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