| Hugging Face's logo | |
| --- | |
| language: yo | |
| datasets: | |
| - [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt) | |
| --- | |
| # bert-base-multilingual-cased-finetuned-yoruba | |
| ## Model description | |
| **bert-base-multilingual-cased-finetuned-yoruba** is a **Yoruba BERT** model obtained by fine-tuning **bert-base-multilingual-cased** model on Yorùbá language texts. It provides **better performance** than the multilingual BERT on text classification and named entity recognition datasets. | |
| Specifically, this model is a *bert-base-multilingual-cased* model that was fine-tuned on Yorùbá corpus. | |
| ## Intended uses & limitations | |
| #### How to use | |
| You can use this model with Transformers *pipeline* for masked token prediction. | |
| #### Limitations and bias | |
| This model is limited by its training dataset of entity-annotated news articles from a specific span of time. This may not generalize well for all use cases in different domains. | |
| ## Training data | |
| This model was fine-tuned on Yorùbá corpus | |
| ## Training procedure | |
| This model was trained on a single NVIDIA V100 GPU | |
| ## Eval results on Test set (F-score) | |
| Dataset|F1-score | |
| -|- | |
| Yoruba GV NER |75.34 | |
| MasakhaNER |80.82 | |
| BBC Yoruba |80.66 | |
| ### BibTeX entry and citation info | |
| By David Adelani | |
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