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Training loss is -nan #6

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JohnnieXDU opened this issue Nov 14, 2017 · 0 comments
Open

Training loss is -nan #6

JohnnieXDU opened this issue Nov 14, 2017 · 0 comments

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@JohnnieXDU
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I follow the steps you provide strictly, but the loss is -nan from beginning. The training data is properly converted, what is the reason?

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