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weiaicunzai / pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
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lower accuracy #47

Open UestcJay opened 3 years ago

UestcJay commented 3 years ago

Thanks for your great work! I use mobilenet to train the model, warm is set to 2 or 1, but the top1 acc is only 0.5747, which is about 9% difference from yours. Do you know what is wrong? My pytorch version is 1.2, will this affect? Looking for your reply!