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ImageNet pre-trained models

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@RangiLyu RangiLyu released this 31 Dec 12:32
· 3 commits to main since this release

ImageNet pre-trained EfficientNet Lite models.

eval reaults:

efficientnet_lite0
TEST Iter 0: loss = 2.100231,     Top-1 err = 0.282700,   Top-5 err = 0.098280,   val_time = 120.648957

efficientnet_lite1
TEST Iter 0: loss = 2.076898,     Top-1 err = 0.252940,   Top-5 err = 0.079880,   val_time = 126.869352

efficientnet_lite2
TEST Iter 0: loss = 1.929238,     Top-1 err = 0.228660,   Top-5 err = 0.064640,   val_time = 142.668548

efficientnet_lite3
TEST Iter 0: loss = 1.782202,     Top-1 err = 0.210920,   Top-5 err = 0.056260,   val_time = 147.359098

efficientnet_lite4
TEST Iter 0: loss = 1.714834,     Top-1 err = 0.196580,   Top-5 err = 0.049440,   val_time = 158.336004