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--- |
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license: cc-by-4.0 |
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language: |
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- tn |
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datasets: |
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- dsfsi/PuoData |
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- dsfsi/daily-news-dikgang |
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metrics: |
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- f1 |
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library_name: transformers |
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pipeline_tag: text-classification |
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tags: |
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- iptc |
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--- |
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# PuoBERTa-News: A Setswana Langauge Model Finetuned for News Categorisation |
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[](https://doi.org/10.5281/zenodo.8434795) [](https://arxiv.org/abs/2310.09141) 🤗 [https://huggingface.co/dsfsi/PuoBERTa](https://huggingface.co/dsfsi/PuoBERTa) |
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Give Feedback 📑: [DSFSI Resource Feedback Form](https://docs.google.com/forms/d/e/1FAIpQLSf7S36dyAUPx2egmXbFpnTBuzoRulhL5Elu-N1eoMhaO7v10w/formResponse){:target="_blank"} |
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A Roberta-based language model finetuned for News Categorisation. |
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Based on [https://huggingface.co/dsfsi/PuoBERTa](https://huggingface.co/dsfsi/PuoBERTa) |
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## Model Details |
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### Model Description |
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This is a News Categorisation model for Setswana. |
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- **Developed by:** Vukosi Marivate ([@vukosi](https://huggingface.co/@vukosi)), Moseli Mots'Oehli ([@MoseliMotsoehli](https://huggingface.co/@MoseliMotsoehli)) , Valencia Wagner, Richard Lastrucci and Isheanesu Dzingirai |
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- **Model type:** RoBERTa Model |
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- **Language(s) (NLP):** Setswana |
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- **License:** CC BY 4.0 |
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### News Categories |
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We use the IPTC news codes [https://iptc.org/standards/newscodes/](https://iptc.org/standards/newscodes/) |
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0. arts_culture_entertainment_and_media (Botsweretshi, setso, boitapoloso le bobegakgang) |
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1. crime_law_and_justice (Bosenyi, molao le bosiamisi) |
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2. disaster_accident_and_emergency_incident (Masetlapelo, kotsi le tiragalo ya maemo a tshoganyetso) |
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3. economy_business_and_finance (Ikonomi, tsa kgwebo le tsa ditšhelete) |
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4. education (Thuto) |
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5. environment (Tikologo) |
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6. health (Boitekanelo) |
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7. politics (Dipolotiki) |
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8. religion_and_belief (Bodumedi le tumelo) |
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9. society (Setšhaba) |
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Training, Dev and Validation dataset [https://huggingface.co/datasets/dsfsi/daily-news-dikgang](https://huggingface.co/datasets/dsfsi/daily-news-dikgang). |
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### Model Performance |
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Performance of models on Daily News Dikgang dataset |
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| **Model** | **5-fold Cross Validation F1** | **Test F1** | |
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|-----------------------------|--------------------------------------|-------------------| |
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| Logistic Regression + TFIDF | 60.1 | 56.2 | |
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| NCHLT TSN RoBERTa | 64.7 | 60.3 | |
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| PuoBERTa | **63.8** | **62.9** | |
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| PuoBERTaJW300 | *66.2* | *65.4* | |
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### Usage |
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Use this model for Part of text classification for Setswana. |
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```python |
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``` |
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## Citation Information |
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Bibtex Reference |
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``` |
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@inproceedings{marivate2023puoberta, |
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title = {PuoBERTa: Training and evaluation of a curated language model for Setswana}, |
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author = {Vukosi Marivate and Moseli Mots'Oehli and Valencia Wagner and Richard Lastrucci and Isheanesu Dzingirai}, |
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year = {2023}, |
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booktitle= {Artificial Intelligence Research. SACAIR 2023. Communications in Computer and Information Science}, |
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url= {https://link.springer.com/chapter/10.1007/978-3-031-49002-6_17}, |
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keywords = {NLP}, |
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preprint_url = {https://arxiv.org/abs/2310.09141}, |
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dataset_url = {https://github.com/dsfsi/PuoBERTa}, |
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software_url = {https://huggingface.co/dsfsi/PuoBERTa} |
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} |
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``` |
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## Contributing |
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Your contributions are welcome! Feel free to improve the model. |
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## Model Card Authors |
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Vukosi Marivate |
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## Model Card Contact |
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For more details, reach out or check our [website](https://dsfsi.github.io/). |
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Email: vukosi.marivate@cs.up.ac.za |
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**Enjoy exploring Setswana through AI!** |
