readme: Hugging Face's logo
  ---
  language: 
  - yo
  - en
  datasets:
  - JW300 + [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt)
  ---
  # mbart50-large-yor-eng-mt
  ## Model description
  **mbart50-large-yor-eng-mt** is a **machine translation** model from Yorùbá language to English language based on a fine-tuned   facebook/mbart-large-50 model.  It establishes a **strong baseline** for automatically translating texts from Yorùbá to English.  
  
  Specifically, this model is a *mbart-large-50* model that was fine-tuned on  JW300 Yorùbá corpus and [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt). The model was trained using Swahili(sw_KE) as the language since the pre-trained model does not initially support Yorùbá. Thus, you need to use the sw_KE for language code when evaluating the model. 
  
  #### Limitations and bias
  This model is limited by its training dataset. This may not generalize well for all use cases in different domains.  
  ## Training data
  This model was fine-tuned on on  JW300 corpus and [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt) dataset
  
  ## Training procedure
  This model was trained on NVIDIA V100 GPU
  
  ## Eval results on Test set (BLEU score)
  Fine-tuning mbart50-large achieves **15.88 BLEU** on [Menyo-20k test set](https://arxiv.org/abs/2103.08647) while mt5-base achieves 15.57
  
  ### BibTeX entry and citation info
  By David Adelani
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