PuoBERTa-NER: A Setswana Langage Model Finetuned on MasakhaNER-2 for Named Entity Recognition.
🤗 https://huggingface.co./dsfsi/PuoBERTa
A Roberta-based language model finetuned on MasakhaneNER-2 for Named Entity Recognition.
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 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.
Model Card Authors
Vukosi Marivate
Model Card Contact
For more details, reach out or check our website.
Email: [email protected]
Enjoy exploring Setswana through AI!
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