# YangLinyi/GLUE-X

<https://repo.masters-masters.com/en/repos/YangLinyi/GLUE-X>

[Home](https://repo.masters-masters.com/en) › [YangLinyi](https://repo.masters-masters.com/en/owners/YangLinyi) › [GLUE-X](https://repo.masters-masters.com/en/repos/YangLinyi/GLUE-X)

YangLinyi/GLUE-X has 100 stars on GitHub. Its RepoMasters card: Prototype tier. We leverage 14 datasets as OOD test data and conduct evaluations on 8 NLU…

| Field | Value |
| --- | --- |
| Owner | [YangLinyi](https://repo.masters-masters.com/en/owners/YangLinyi) |
| Stars | 100 |
| Forks | 4 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2022 |
| Topics | benchmark, bert, natural-language-processing, nlp, ood |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [YangLinyi/GLUE-X](https://github.com/YangLinyi/GLUE-X) |

## Repository

We leverage 14 datasets as OOD test data and conduct evaluations on 8 NLU tasks over 21 popularly used models. Our findings confirm that the OOD accuracy in NLP tasks needs to be paid more attention to since the significant performance decay compared to ID accuracy has been found in all settings.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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