This repository was archived by the owner on Jun 3, 2025. It is now read-only.
[transformers] Prompt masking #2192
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bfineran
previously approved these changes
Mar 20, 2024
Satrat
suggested changes
Mar 26, 2024
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Calculation of the mask looks good but pretty sure its being applied backwards. Lets add a test case to test the whole pipeline so we catch this error(ie text -> tokenization -> text and confirm the labels are masked out only on the prompts.
Also, can you update the internal_docs repo with instructions on how to use this new feature on a custom dataset: https://github.com/neuralmagic/internal-docs/blob/main/teams/ml-engineering/sparseml/text_generation/custom_datasets.md
Satrat
suggested changes
Apr 2, 2024
Satrat
previously approved these changes
Apr 5, 2024
bfineran
previously approved these changes
Apr 8, 2024
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Per the main README announcement, SparseML is being deprecated by June 2, 2025. Closing the PR as work has been suspended; thank you for the inputs and support! |
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Applying character masks to a prompts in the format
[foo]some text here\n[bar]response here, to mask characters owned by[bar]