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SortedDL for contiguous LM
See original GitHub issueHi there,
I am currently implementing LM re-training of a RoBERTa model using the Trainer API. Since I have a huge training corpus, I was wondering if there is a functionality in the Trainer or the corresponding DataCollatorForLanguageModeling that allows for sorted batching as in fastai?
More precisely, I would like to feed in all my training data as a contiguous text stream and let the respective functions handle sorted batching irrespective of the sequence length of the individual sequences.
Best, Simon
Issue Analytics
- State:
- Created 3 years ago
- Comments:8 (4 by maintainers)
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I think you may be referring to the LM DataLoader. This kind of preprocessing is done using the
datasetslibrary on our side. Take a look at the run_clm or run_mlm examples (in run_mlm the part that is not in the block “line_by_line”) or the language modeling notebook to see how.This makes entirely sense, thanks for lifting this barrier in my head!