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Hi, you can try to use gradient_clip in the optimization process or adjust the batch size to avoid the problem. This should be caused by numerical problems.
This is what I'm seeing. I made sure to get rid of all NaNs where I could find them but I think it may be a problem with how I configured the dataset.
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