Model description

byt5-base-mos-fr-mt is a machine translation model from Mossi to French based on a fine-tuned google/byt5-base model. It establishes a strong baseline for automatically translating texts from Mossi to French.

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

Specifically, this model is a byt5-base model that was fine-tuned on JW300 Mossi corpus and LAFAND. The model was trained using Swahili(sw_KE) as the language since the pre-trained model does not initially support mos. Thus, you need to use the sw_KE for language code when evaluating the model.

Training procedure

This model was trained on NVIDIA V100 GPU

Eval results on Test set (BLEU score)

Fine-tuning byt5-base achieves 5.34 BLEU on LAFAND test set

BibTeX entry and citation info

By David Adelani

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