microsoft / microsoft/dp-transformers
`DataCollatorForPrivateCausalLanguageModeling` hardcoded to `mlm=False`
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- Dominant language
- Python
- Stars
- 149
- Forks
- 33
- Avg merge
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- Merged PRs (30d)
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Description
Why is the mlm parameter hardcoded to False in DataCollatorForPrivateCausalLanguageModeling's implementation?
I intend to use the DPCallback for Masked Language Modeling.
Is it unsafe to turn it to True?
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with src/dp_transformers/dp_utils.py#L99 and trace how DataCollatorForPrivateCausalLanguageModeling is used with DPCallback. Determine whether enabling masked language modeling is compatible with the differential-privacy flow or intentionally restricted. Done means documenting the decision and, if supported, defining the behavior and coverage needed for mlm=True.
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Assessment
- Tech stack
- huggingface, python
- Domain
- machine-learning, security
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100