Comments (4)
Thanks for the quick reply!
I used different training HPs learning rate: 0.2, batch size: 512, weight decay: 1e-4
When switching back to paper default: learning rate: 0.8, batch size: 1024, weight decay: 5e-5
, I got 73.66
now.
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Great. Pls notice that data-preprocessing stage also influences performance. Since the paper didnt explicitly mention this step, we only applied very basic techniques. That's the reason why performance could be slightly different from paper
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Hi,
Thanks for your interest. Do you change anything else on our code (e.g data augmentation, schedule, ...)?
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Thanks @uvipen
Could you the results in your experiments? I saw the README is still pending.
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