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Traing problem #81

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LKELN opened this issue Oct 19, 2024 · 0 comments
Open

Traing problem #81

LKELN opened this issue Oct 19, 2024 · 0 comments

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@LKELN
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LKELN commented Oct 19, 2024

When I'm using your model, I've noticed that your model converts to float16, but training this way results in a loss=nan, and when I train with mixed-precision floats (the model is loaded with parameters without converting to float16) it also results in a loss =nan. Can you provide some help?

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