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
. 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
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
while mt5-base achieves 15.57
BibTeX entry and citation info
By David Adelani
Runs of Davlan mbart50-large-yor-eng-mt on huggingface.co
24
Total runs
0
24-hour runs
-5
3-day runs
-5
7-day runs
5
30-day runs
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