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bert-base-multilingual-cased-finetuned-yoruba

Fill-Mask Transformers PyTorch TensorFlow JAX bert Inference Endpoints
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  ---
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  language: yo
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  datasets:
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- - [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt)
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- - [Yoruba Embedding corpus](https://huggingface.co/datasets/yoruba_text_c3)
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  ---
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  # bert-base-multilingual-cased-finetuned-yoruba
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  ## Model description
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  #### Limitations and bias
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  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.
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  ## Training data
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- This model was fine-tuned on on Bible, JW300, [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt), [Yoruba Embedding corpus](https://huggingface.co/datasets/yoruba_text_c3) and [CC-Aligned](https://opus.nlpl.eu/), Wikipedia, news corpora (BBC Yoruba, VON Yoruba, Asejere, Alaroye), and other small datasets curated from friends.
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  ## Training procedure
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  This model was trained on a single NVIDIA V100 GPU
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  ---
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  language: yo
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  datasets:
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+ - [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt)
 
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  ---
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  # bert-base-multilingual-cased-finetuned-yoruba
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  ## Model description
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  #### Limitations and bias
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  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.
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  ## Training data
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+ This model was fine-tuned on Yorùbá corpus
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  ## Training procedure
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  This model was trained on a single NVIDIA V100 GPU