README.md

---
license: cc-by-4.0
datasets:
- masakhane/masakhaner2
language:
- tn
metrics:
- f1
library_name: transformers
pipeline_tag: token-classification
---
# PuoBERTa-NER: A Setswana Langage Model Finetuned on MasakhaNER-2 for Named Entity Recognition.

A Roberta-based language model finetuned on MasakhaneNER-2 for Named Entity Recognition.

Based on [https://huggingface.co/dsfsi/PuoBERTa](https://huggingface.co/dsfsi/PuoBERTa)

## Model Details

### Model Description

This is a POS model trained on Setswana based on PuoBERTa and fineruned on MasakhaNER-2 Setswana.

- **Developed by:** Vukosi Marivate ([@vukosi](https://huggingface.co/@vukosi)), Moseli Mots'Oehli ([@MoseliMotsoehli](https://huggingface.co/@MoseliMotsoehli)) , Valencia Wagner, Richard Lastrucci and Isheanesu Dzingirai
- **Model type:** RoBERTa Model
- **Language(s) (NLP):** Setswana
- **License:** CC BY 4.0

### Model Performance

Performance of models on the [MasakhaNER-2](https://github.com/masakhane-io/masakhane-ner/tree/main/MasakhaNER2.0) downstream task.

| Model | Test Performance (f1 score) |
|---|---|
| **Multilingual Models** |  |
| AfriBERTa | 83.2 |
| AfroXLMR-base | 87.7 |
| AfroXLMR-large | 89.4 |
| **Monolingual Models** |  |
| NCHLT TSN RoBERTa | 74.2 |
| PuoBERTa | **78.2** |
| PuoBERTa+JW300 | **80.2** |

### Usage

Use this model for Part of Speech Tagging for Setswana.
```python

```

## Citation Information

Bibtex Refrence

```
@article{marivatePuoBERTa2023,
  title={PuoBERTa: Training and evaluation of a curated language model for Setswana},
  author={Vukosi Marivate and Moseli Mots'Oehli and Valencia Wagner and Richard Lastrucci and Isheanesu Dzingirai},
  journal={ArXiv},
}
```

## Contributing

Your contributions are welcome! Feel free to improve the model.

## Model Card Authors

Vukosi Marivate

## Model Card Contact

For more details, reach out or check our [website](https://dsfsi.github.io/).

Email: [email protected]

**Enjoy exploring Setswana through AI!**