PuoBERTa-POS: A Setswana Langage Model Finetuned on MasakhaPOS for Parts of Speech Tagging.

🤗 https://huggingface.co/dsfsi/PuoBERTa

A Roberta-based language model finetuned on MasakhanePOS for Parts of Speech Tagging.

Based on https://huggingface.co/dsfsi/PuoBERTa

Model Details

Model Description

This is a POS model trained on Setswana based on PuoBERTa and fineruned on MasakhaPOS Setswana.

Developed by: Vukosi Marivate (@vukosi), Moseli Mots'Oehli (@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 MasakhaPOS downstream task.

Model	Test Performance
Multilingual Models
AfroLM	83.8
AfriBERTa	82.5
AfroXLMR-base	82.7
AfroXLMR-large	83.0
Monolingual Models
NCHLT TSN RoBERTa	82.3
PuoBERTa	83.4
PuoBERTa+JW300	84.1

Usage

Use this model for Part of Speech Tagging for Setswana.

Citation Information

Bibtex Refrence

@inproceedings{marivate2023puoberta,
  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},
  year    = {2023},
  booktitle= {SACAIR 2023 (To Appear)},
  keywords = {NLP},
  preprint_url = {https://arxiv.org/abs/2310.09141},
  dataset_url = {https://github.com/dsfsi/PuoBERTa},
  software_url = {https://huggingface.co/dsfsi/PuoBERTa}
}

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.

Email: vukosi.marivate@cs.up.ac.za

Enjoy exploring Setswana through AI!