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the loss is nan #14
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same problem, have you solved it? |
Hi, thank you very much for report this problem. |
Thank you for your reply. I tried to modify the input data and found that sometimes the training can be successful, but when I increase the data, the loss will still be none. I don't know if it is because the network cannot fit my training data. |
i have try different lr from 0.00001 to 0.1 , but thr loss is nan , why?

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