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  # m2m100_418M-eng-yor-mt
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  ## Model description
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- **m2m100_418M-eng-yor-mt** is a **machine translation** model from English language to Yorùbá language based on a fine-tuned facebook/m2m100_418M model. It establishes a **strong baseline** for automatically translating texts from English to Yorùbá.
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  Specifically, this model is a *facebook/m2m100_418M* model that was fine-tuned on JW300 Yorùbá corpus and [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt).
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  #### Limitations and bias
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  This model is limited by its training dataset. 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 JW300 corpus and [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt) dataset
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  ## Training procedure
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  This model was trained on NVIDIA V100 GPU
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  ## Eval results on Test set (BLEU score)
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- Fine-tuning mbarr50-large achieves ** BLEU** on [Menyo-20k test set](https://arxiv.org/abs/2103.08647) while mt5-base achieves 9.82
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  ### BibTeX entry and citation info
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  By David Adelani
 
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  ---
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  # m2m100_418M-eng-yor-mt
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  ## Model description
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+ **m2m100_418M-yor-eng-mt** is a **machine translation** model from Yorùbá language to English language based on a fine-tuned facebook/m2m100_418M model. It establishes a **strong baseline** for automatically translating texts from Yorùbá to English.
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  Specifically, this model is a *facebook/m2m100_418M* model that was fine-tuned on JW300 Yorùbá corpus and [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt).
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  #### Limitations and bias
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  This model is limited by its training dataset. 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 JW300 corpus and [Menyo-20k](https://huggingface.co/datasets/menyo20k_mt) dataset
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  ## Training procedure
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  This model was trained on NVIDIA V100 GPU
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  ## Eval results on Test set (BLEU score)
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+ Fine-tuning m2m100_418M achieves **16.76 BLEU** on [Menyo-20k test set](https://arxiv.org/abs/2103.08647) while mt5-base achieves 15.57
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  ### BibTeX entry and citation info
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  By David Adelani