# Natural Language Understanding on GLUE (val test)

Source: [Natural Language Understanding on GLUE (val test)](<https://www.sota2.com/research/sota/natural-language-understanding-on-glue-val-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T06:03:31.182Z

Evaluation of general language understanding capabilities across a specific subset of GLUE tasks (SST-2, RTE, MRPC, QQP, MNLI, QNLI) reported on the official validation/test split.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Natural Language Understanding |
| Dataset (including any stated split) | GLUE official (val test) |
| Metric | SST-2 Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 18 of 18 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [SST-2 Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-glue-val-test.md?metric=SST-2%20Accuracy>): Higher is better; unit: PERCENT.

- [RTE Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-glue-val-test.md?metric=RTE%20Accuracy>): Higher is better; unit: PERCENT.

- [MRPC Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-glue-val-test.md?metric=MRPC%20Accuracy>): Higher is better; unit: PERCENT.

- [QQP Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-glue-val-test.md?metric=QQP%20Accuracy>): Higher is better; unit: PERCENT.

- [MNLI Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-glue-val-test.md?metric=MNLI%20Accuracy>): Higher is better; unit: PERCENT.

- [QNLI Accuracy](<https://www.sota2.com/research/sota/natural-language-understanding-on-glue-val-test.md?metric=QNLI%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | SST-2 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| XLNet | 0.97 | Not recorded | 68fa6f461e209131cea44b05 |
| ELECTRA | 0.969 | Not recorded | 68fa6f461e209131cea44b05 |
| UNIMO | 0.968 | Not recorded | 68fa6f461e209131cea44b05 |
| DeBERTa | 0.968 | Not recorded | 68fa6f461e209131cea44b05 |
| OFA | 0.966 | Not recorded | 68fa6f461e209131cea44b05 |
| RoBERTa | 0.964 | Not recorded | 68fa6f461e209131cea44b05 |
| mPLUG-2Deberta | 0.962 | Not recorded | 68fa6f461e209131cea44b05 |
| mPLUG-2 | 0.951 | Not recorded | 68fa6f461e209131cea44b05 |
| mPLUG-2Base | 0.935 | Not recorded | 68fa6f461e209131cea44b05 |
| BERT | 0.932 | Not recorded | 68fa6f461e209131cea44b05 |
| SimVLM | 0.909 | Not recorded | 68fa6f461e209131cea44b05 |
| FLAVA | 0.909 | Not recorded | 68fa6f461e209131cea44b05 |
| ViLBERT | 0.904 | Not recorded | 68fa6f461e209131cea44b05 |
| LXMERT | 0.902 | Not recorded | 68fa6f461e209131cea44b05 |
| Uni-Perceiver | 0.902 | Not recorded | 68fa6f461e209131cea44b05 |
| VL-BERT | 0.898 | Not recorded | 68fa6f461e209131cea44b05 |
| UNITER | 0.897 | Not recorded | 68fa6f461e209131cea44b05 |
| VisualBERT | 0.894 | Not recorded | 68fa6f461e209131cea44b05 |

### XLNet

SST-2 Accuracy: 0.97. Result ID: 69909f0a3a6c31484901edb0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66e61e209131cea1300d.md>)

[Implementation](<https://github.com/zihangdai/xlnet>)

Recorded evaluation configuration: {"Pre-training Strategy":"Natural Language"}. This record does not assert independent reproduction.

### ELECTRA

SST-2 Accuracy: 0.969. Result ID: 69909f0a3a6c31484901edb1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa673f1e209131cea15373.md>)

[Implementation](<https://github.com/google-research/electra>)

Recorded evaluation configuration: {"Pre-training Strategy":"Natural Language"}. This record does not assert independent reproduction.

### UNIMO

SST-2 Accuracy: 0.968. Result ID: 69909f0a3a6c31484901edac.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bfe1e209131cea3180d.md>)

[Implementation](<https://unimo-ptm.github.io/>)

Recorded evaluation configuration: {"Pre-training Strategy":"Multimodal"}. This record does not assert independent reproduction.

### DeBERTa

SST-2 Accuracy: 0.968. Result ID: 69909f0a3a6c31484901edb2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6aef1e209131cea2b2a6.md>)

[Implementation](<https://github.com/microsoft/DeBERTa111>)

Recorded evaluation configuration: {"Pre-training Strategy":"Natural Language"}. This record does not assert independent reproduction.

### OFA

SST-2 Accuracy: 0.966. Result ID: 69909f0a3a6c31484901edad.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cb81e209131cea35951.md>)

[Implementation](<https://github.com/OFA-Sys/OFA>)

Recorded evaluation configuration: {"Pre-training Strategy":"Multimodal"}. This record does not assert independent reproduction.

### RoBERTa

SST-2 Accuracy: 0.964. Result ID: 69909f0a3a6c31484901edaf.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66131e209131cea0e18b.md>)

[Implementation](<https://github.com/pytorch/fairseq>)

Recorded evaluation configuration: {"Pre-training Strategy":"Natural Language"}. This record does not assert independent reproduction.

### mPLUG-2Deberta

SST-2 Accuracy: 0.962. Result ID: 69909f0a3a6c31484901edb5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Implementation](<https://github.com/alibaba/AliceMind>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### mPLUG-2

SST-2 Accuracy: 0.951. Result ID: 69909f0a3a6c31484901edb4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Implementation](<https://github.com/alibaba/AliceMind>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### mPLUG-2Base

SST-2 Accuracy: 0.935. Result ID: 69909f0a3a6c31484901edb3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Implementation](<https://github.com/alibaba/AliceMind>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### BERT

SST-2 Accuracy: 0.932. Result ID: 69909f0a3a6c31484901edae.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65c31e209131cea0c4ed.md>)

[Implementation](<https://github.com/google-research/bert>)

Recorded evaluation configuration: {"Pre-training Strategy":"Natural Language"}. This record does not assert independent reproduction.

### SimVLM

SST-2 Accuracy: 0.909. Result ID: 69909f0a3a6c31484901edaa.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

Recorded evaluation configuration: {"Pre-training Strategy":"Multimodal"}. This record does not assert independent reproduction.

### FLAVA

SST-2 Accuracy: 0.909. Result ID: 69909f0a3a6c31484901edab.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c181e209131cea321c7.md>)

[Implementation](<https://flava-model.github.io/>)

Recorded evaluation configuration: {"Pre-training Strategy":"Multimodal"}. This record does not assert independent reproduction.

### ViLBERT

SST-2 Accuracy: 0.904. Result ID: 69909f0a3a6c31484901eda7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa661c1e209131cea0e5d5.md>)

Recorded evaluation configuration: {"Pre-training Strategy":"Multimodal"}. This record does not assert independent reproduction.

### LXMERT

SST-2 Accuracy: 0.902. Result ID: 69909f0a3a6c31484901eda8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66cc1e209131cea12644.md>)

[Implementation](<https://github.com/airsplay/lxmert>)

Recorded evaluation configuration: {"Pre-training Strategy":"Multimodal"}. This record does not assert independent reproduction.

### Uni-Perceiver

SST-2 Accuracy: 0.902. Result ID: 69909f0a3a6c31484901eda9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b631e209131cea2df20.md>)

Recorded evaluation configuration: {"Pre-training Strategy":"Multimodal"}. This record does not assert independent reproduction.

### VL-BERT

SST-2 Accuracy: 0.898. Result ID: 69909f0a3a6c31484901eda6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa671a1e209131cea143cb.md>)

[Implementation](<https://github.com/jackroos/VL-BERT>)

Recorded evaluation configuration: {"Pre-training Strategy":"Multimodal"}. This record does not assert independent reproduction.

### UNITER

SST-2 Accuracy: 0.897. Result ID: 69909f0a3a6c31484901eda5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67f91e209131cea1989f.md>)

[Implementation](<https://github.com/ChenRocks/UNITER>)

Recorded evaluation configuration: {"Pre-training Strategy":"Multimodal"}. This record does not assert independent reproduction.

### VisualBERT

SST-2 Accuracy: 0.894. Result ID: 69909f0a3a6c31484901eda4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f461e209131cea44b05.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66391e209131cea0ef1d.md>)

Recorded evaluation configuration: {"Pre-training Strategy":"Multimodal"}. This record does not assert independent reproduction.

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