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IMPARA-QE
gotutiyan/IMPARA-QE
IMPARA-QE is a text classification model from gotutiyan. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
A trained QE model for IMPARA, a reference-less performance measure for GEC task.
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Model card
From the Hugging Face model README
A trained QE model for IMPARA, a reference-less performance measure for GEC task.
This model achieves 95.93 for Pearson's correlation and 93.01 for Spearman's, for Grundkiewicz +15's Expected Wins score (Note that bert-base-cased is used for SE model).
You can see the detail in this GitHub repository, e.g. How to use this model.
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Dec 15, 2022
- Updated
- Mar 7, 2026