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I learned that regenety_032 result was trained by Ross while the others were not. So it was probably trained much longer and with stronger data augmentation. |
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Why is the regnety_032 result (82.008% top-1) better than all others, including regnety_320 (80.798%)?
Was it trained differently from the others?
Where can I find the training hyper-parameters for the Regnet results?
https://github.com/rwightman/pytorch-image-models/blob/master/results/results-imagenet.csv
More generally, where can I find training hyper-parameters for all pytorch-image-models results?
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