This is a POS model trained on Setswana based on PuoBERTa and fineruned on MasakhaNER-2 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 MasakhaNER-2 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.
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= {Artificial Intelligence Research. SACAIR 2023. Communications in Computer and Information Science},
url= {https://link.springer.com/chapter/10.1007/978-3-031-49002-6_17},
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.
