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This repository was archived by the owner on May 1, 2025. It is now read-only.
This repository was archived by the owner on May 1, 2025. It is now read-only.

NaN loss and only OOV in the greedy output #42

@debajyotidatta

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@debajyotidatta

The loss initially was decreasing until it reach nan's for a while. I am running it on the squad dataset and the exact argument used for running it is:

python train.py --train_tasks squad --device 0 --data ./.data --save ./results/ --embeddings ./.embeddings/ --train_batch_tokens 2000

So the only change is the train batch tokens to 2000 since my GPU was running out of memory. I am attaching a screenshot. Is there anything I am missing? Should I try something else?

screenshot 2018-11-02 14 35 47

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