# Text Classification on Yelp-F (test)

Source: [Text Classification on Yelp-F (test)](<https://www.sota2.com/research/sota/text-classification-on-yelp-f-test>)

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

Data updated: 2026-02-26T05:28:19.624Z

Evaluation of Text Classification performance on the test split of the Yelp-F dataset, typically measured by Accuracy.

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 | Text Classification |
| Dataset (including any stated split) | Yelp-F (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 13 of 13 |
| 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

- [Accuracy](<https://www.sota2.com/research/sota/text-classification-on-yelp-f-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| XLNet | 72.95 | Not recorded | 68fa6cb61e209131cea35744 |
| BERT-Large | 70.68 | Not recorded | 68fa6cb61e209131cea35744 |
| ULMFiT | 70.02 | Not recorded | 68fa6cb61e209131cea35744 |
| BERT-FiT | 69.94 | Not recorded | 68fa6cb61e209131cea35744 |
| HDGCN | 69.6 | Not recorded | 68fa6a1e1e209131cea26089 |
| DPCNN | 69.42 | Not recorded | 68fa6cb61e209131cea35744 |
| TinyBERT | 66.1 | Not recorded | 68fa6a1e1e209131cea26089 |
| CCCapsNet | 65.85 | Not recorded | 68fa6cb61e209131cea35744 |
| BERT | 65.8 | Not recorded | 68fa6a1e1e209131cea26089 |
| DRNN | 65.3 | Not recorded | 68fa6a1e1e209131cea26089 |
| HDGCN-static | 65.2 | Not recorded | 68fa6a1e1e209131cea26089 |
| Region Emb. | 64.9 | Not recorded | 68fa6cb61e209131cea35744 |
| fastText | 63.9 | Not recorded | 68fa6a1e1e209131cea26089 |

### XLNet

Accuracy: 72.95. Result ID: 698f32c13a6c314849f6e5e0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cb61e209131cea35744.md>)

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

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

Recorded evaluation configuration: {"fine-tuning":true}. This record does not assert independent reproduction.

### BERT-Large

Accuracy: 70.68. Result ID: 698f32c13a6c314849f6e5df.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cb61e209131cea35744.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68a61e209131cea1d69a.md>)

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

Recorded evaluation configuration: {"fine-tuning":true}. This record does not assert independent reproduction.

### ULMFiT

Accuracy: 70.02. Result ID: 698f32c13a6c314849f6e5dc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cb61e209131cea35744.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64601e209131cea04261.md>)

[Implementation](<http://nlp.fast.ai/ulmfit>)

Recorded evaluation configuration: {"fine-tuning":true}. This record does not assert independent reproduction.

### BERT-FiT

Accuracy: 69.94. Result ID: 698f32c13a6c314849f6e5de.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cb61e209131cea35744.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66fd1e209131cea137df.md>)

[Implementation](<https://github.com/xuyige/BERT4doc-Classification>)

Recorded evaluation configuration: {"fine-tuning":true}. This record does not assert independent reproduction.

### HDGCN

Accuracy: 69.6. Result ID: 698e0f3effc3901de09a7ac4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a1e1e209131cea26089.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a1e1e209131cea26089.md>)

[Implementation](<https://github.com/MathIsAll/HDGCN-pytorch>)

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

### DPCNN

Accuracy: 69.42. Result ID: 698f32c13a6c314849f6e5db.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cb61e209131cea35744.md>)

Recorded evaluation configuration: {"fine-tuning":true}. This record does not assert independent reproduction.

### TinyBERT

Accuracy: 66.1. Result ID: 698e0f3effc3901de09a7ac2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a1e1e209131cea26089.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa688a1e209131cea1cce4.md>)

[Implementation](<https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/TinyBERT>)

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

### CCCapsNet

Accuracy: 65.85. Result ID: 698f32c13a6c314849f6e5e1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cb61e209131cea35744.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cb61e209131cea35744.md>)

[Implementation](<https://github.com/leftthomas/CCCapsNet>)

Recorded evaluation configuration: {"fine-tuning":false,"trained from scratch":true}. This record does not assert independent reproduction.

### BERT

Accuracy: 65.8. Result ID: 698e0f3effc3901de09a7ac1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a1e1e209131cea26089.md>)

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

### DRNN

Accuracy: 65.3. Result ID: 698e0f3effc3901de09a7ac0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a1e1e209131cea26089.md>)

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

### HDGCN-static

Accuracy: 65.2. Result ID: 698e0f3effc3901de09a7ac3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a1e1e209131cea26089.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a1e1e209131cea26089.md>)

[Implementation](<https://github.com/MathIsAll/HDGCN-pytorch>)

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

### Region Emb.

Accuracy: 64.9. Result ID: 698f32c13a6c314849f6e5dd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cb61e209131cea35744.md>)

Recorded evaluation configuration: {"fine-tuning":false,"trained from scratch":true}. This record does not assert independent reproduction.

### fastText

Accuracy: 63.9. Result ID: 698e0f3effc3901de09a7abf.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a1e1e209131cea26089.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62a21e209131ce9fa626.md>)

[Implementation](<https://github.com/facebookresearch/fastText>)

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

Page 1 of 1. This is an index page, not the full collection.
