You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I got unexpected behaviors of BiT-M-ResNet152x4 on PyTorch. When I use BiT-M-R152x4-ILSVRC2012.npz on ImageNet-1k dataset, most of model outputs are nan. Hence, the resultant performance is very low. Given that other models work well, I think that there might be some bugs on the pretrained weights of BiT-M-R152x4.
The text was updated successfully, but these errors were encountered:
Hello,
I got unexpected behaviors of
BiT-M-ResNet152x4
on PyTorch. When I useBiT-M-R152x4-ILSVRC2012.npz
on ImageNet-1k dataset, most of model outputs arenan
. Hence, the resultant performance is very low. Given that other models work well, I think that there might be some bugs on the pretrained weights ofBiT-M-R152x4
.The text was updated successfully, but these errors were encountered: