《Fast and Accurate Model Scaling》 reproducte for EfficientNet about pycls

[dalin477]

I change the efficientnet configs file and add the following parameters, and i get the efficientnet-B1 err top1 is 23.246 ,but the paper reproduction about 21.7 err top1 for 100 epochs. how can i get the same acc for efficientnet in the code? thanks!
DROPOUT_RATIO: 0.2
DC_RATIO: 0.2
AUGMENT: AutoAugment

[pdollar]

Details of the recipe are in the paper, they are described there. Note that we do not use dropout, but other things are used. Please see the paper for details. Eventually we'd like to release configs time permitting. Thanks!

[dalin477]

The stochastic weight averaging(SWA) optimization setup is not provided in the code? Could you'd like to offer the configs of the EfficientNet to me? My email is [email protected]. Very thanks!

[dalin477]

I want to reproductive the accuracy of the EfficientNet and RegNet in this paper. If you could provide the YAML configs of the related Net(EfficientNet & RegNet). Very thanks!