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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?
The text was updated successfully, but these errors were encountered:
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?
The text was updated successfully, but these errors were encountered: