Comments (1)
I have a question about the training weights of embedding. I used my own datasets to process stage 1 (which includes tuning the embedding weights of new graph tokens, e.g. DEFAULT_GRAPH_TOKEN = ""), but the weights became Nan instantly, I don't know why. Thanks for your patience.
Thanks for you interests! May I ask details of your error? Do the weights become Nan or loss become Nan?
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Related Issues (20)
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