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JunlinHan / YOCO

Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
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Missing Test top-1 error rate #5

Open khawar-islam opened 1 year ago

khawar-islam commented 1 year ago

Dear @JunlinHan

Thank you for your work. I am working on your paper and reproducing the results given in the paper. I have trained a model based on your configuration for cifar-10 but I cannot find an error-rate file. How we can evaluate the top-1 error-rate? Like this

print('Test\t  Prec@1: {top1.avg:.3f} (Err: {error:.3f} )\n'
          .format(top1=top1, error=100 - top1.avg))
JunlinHan commented 1 year ago

Hello khawar, Simply calculate (1 - top1 rate) would give the error rate.

Note CIFAR-10 results can be unstable (that is, results can be a little bit different between multiple trivals).