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When the number of training steps is too much, the loss becomes NaN #118

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Wxl-stars opened this issue Jan 2, 2025 · 0 comments
Open

When the number of training steps is too much, the loss becomes NaN #118

Wxl-stars opened this issue Jan 2, 2025 · 0 comments

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@Wxl-stars
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Besides modifying the dataset, I used the settings from the paper.
But when the steps up to 8w, the loss becomes NaN. What can I do to fix the problem?
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