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Validation loss is NaN #5

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mekaneeky opened this issue Jan 30, 2023 · 0 comments
Open

Validation loss is NaN #5

mekaneeky opened this issue Jan 30, 2023 · 0 comments

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@mekaneeky
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On training with acholi data, transfer learning from flax-community/gpt2-swahili the model trains and begins to display a training loss by the 1st or 2nd evaluation step, however validation loss is consistently nan.

Requesting review as I suspect a dataset object creation error. @ak3ra

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