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That would be great but I think we do not have that information (not all) |
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@main-2983 @mjack3 they are close enough that you can work through their args / defaults and the timm ones and match it almost exactly. Does require looking through the code a bit but it works, I've done the comparisons for deit and swin which are related. |
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I want to train PoolFormer using new timm
train.py
version, which in this repo is different from PoolFormertrain.py
Is there any way to get your training config to reproduce the result of PoolFormer using your new
train.py
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