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'nan' loss when training 'ByteFormer' using ImageNet #103

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minguinho26 opened this issue Dec 31, 2023 · 0 comments
Open

'nan' loss when training 'ByteFormer' using ImageNet #103

minguinho26 opened this issue Dec 31, 2023 · 0 comments

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@minguinho26
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minguinho26 commented Dec 31, 2023

Hi,

I observed the 'nan' loss when using 'RTX A6000 ada' as gpu and attempting to train the ByteFormer by using the config file 'examples/byteformer/imagenet_file_encodings/encoding_type=TIFF.yaml'.

There were still observed nan loss when changing the gpu device to 'RTX 4090'.

I wonder whether you didn't see the 'nan' loss when training the ByteFormer using ImageNet as training set.

The used modules for training are like these.

cvnets 0.3
torch 1.13.1+cu117
torchaudio 0.13.1+cu117
torchtext 0.14.1
torchvision 0.14.1+cu117

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