# Classification on Crowdflower political audience (test)

Source: [Classification on Crowdflower political audience (test)](<https://www.sota2.com/research/sota/classification-on-crowdflower-political-audience-test>)

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

Data updated: 2026-02-26T05:27:28.501Z

Evaluation of Classification performance on the test split of the Crowdflower political audience dataset, reporting 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 | Classification |
| Dataset (including any stated split) | Crowdflower political audience (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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/classification-on-crowdflower-political-audience-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| No BERT baseline | 81 | Not recorded | 68fa65e31e209131cea0d324 |
| BERT\_BASE Fine-tune | 80.9 | Not recorded | 68fa65e31e209131cea0d324 |
| BERT\_BASE Variable FT | 80.7 | Not recorded | 68fa65e31e209131cea0d324 |
| BERT\_BASE Adapters | 79 | Not recorded | 68fa65e31e209131cea0d324 |

### No BERT baseline

Accuracy: 81. Result ID: 698cd1ce8b517eb4331cf50e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65e31e209131cea0d324.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa654b1e209131cea095c7.md>)

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

### BERT\_BASE Fine-tune

Accuracy: 80.9. Result ID: 698cd1ce8b517eb4331cf50f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65e31e209131cea0d324.md>)

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

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

Recorded evaluation configuration: {"Backbone":"BERT\_BASE","Evaluation Protocol":"Fine-tuning","Total number of parameters":"17x","Trained parameters per task":"100%"}. This record does not assert independent reproduction.

### BERT\_BASE Variable FT

Accuracy: 80.7. Result ID: 698cd1ce8b517eb4331cf510.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65e31e209131cea0d324.md>)

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

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

Recorded evaluation configuration: {"Backbone":"BERT\_BASE","Evaluation Protocol":"Variable Fine-tuning","Total number of parameters":"9.9x","Trained parameters per task":"52.9%"}. This record does not assert independent reproduction.

### BERT\_BASE Adapters

Accuracy: 79. Result ID: 698cd1ce8b517eb4331cf511.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65e31e209131cea0d324.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65e31e209131cea0d324.md>)

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

Recorded evaluation configuration: {"Backbone":"BERT\_BASE","Evaluation Protocol":"Adapter-tuning","Total number of parameters":"1.19x","Trained parameters per task":"1.14%"}. This record does not assert independent reproduction.

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