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Reproducing WRN-28-10 (SAM) for SVHN dataset #1

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akshaydp1995 opened this issue Apr 5, 2021 · 0 comments

akshaydp1995 commented Apr 5, 2021

I am trying to reproduce the results for WRN-28-10 (SAM) trained on 10-class classification SVHN dataset (Percentage Error 0.99) - https://paperswithcode.com/sota/image-classification-on-svhn

I'm able to train WRN-28-10 using https://github.com/hysts/pytorch_wrn (Modified the script to incorporate SAM into it)

I'm achieving a test accuracy of 93%. How can I replicate the SOTA Percentage Error 0.99 for WRN-28-10 (SAM). Which hyperparameters do I use?

Any help is appreciated!!

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