Comments (2)
felixwzh
commented on July 21, 2024
I had the same problem today and I think I solved it.
This is because the num_sampled (8192 in your case) should be smaller than the range_max (6603 in your case), see this page, line56.
You can fix this problem by setting n_negative_samples_batch in train_elmo.py smaller than your vocabulary size.
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matt-peters
commented on July 21, 2024
That's right. FWIW, with such a small vocabulary size, you will almost certainly have better results without sacrificing training time if you switch to a unsampled, full softmax.
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Related Issues (20)
- UnicodeError when run example: python -m unittest discover tests/ HOT 2
- how many time it takes if I training a 5GB corpus on 1080ti
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- Saving the custom trained ELMO embedding (hdf5) in the format of tensorhub models
- 2021-10-29 14:13:30.313623: E C:\users\nwani\_bazel_nwani\mmtm6wb6\execroot\org_tensorflow\tensorflow\stream_executor\cuda\cuda_event.cc:49] Error polling for event status: failed to query event: CUDA_ERROR_OUT_OF_MEMORY
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