--- license: cc-by-4.0 language: - tn library_name: transformers pipeline_tag: token-classification tags: - setswana - pos - masakhane-pos datasets: - dsfsi/PuoData metrics: - f1 --- # PuoBERTa-POS: A Setswana Langage Model Finetuned on MasakhaPOS for Parts of Speech Tagging. [![Zenodo doi badge](https://img.shields.io/badge/DOI-10.5281%2Fzenodo.8434795-blue.svg)](https://doi.org/10.5281/zenodo.8434795) [![arXiv](https://img.shields.io/badge/arXiv-2310.09141-b31b1b.svg)](https://arxiv.org/abs/2310.09141) 🤗 [https://huggingface.co/dsfsi/PuoBERTa](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](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](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 [MasakhaPOS](https://github.com/masakhane-io/masakhane-pos) 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. ```python ``` ## 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](https://dsfsi.github.io/). Email: vukosi.marivate@cs.up.ac.za **Enjoy exploring Setswana through AI!**