Thilina Rajapakse commited on
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Updated readme

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  An mT5-base model fine-tuned on the Sinhalese-English dataset in the Tatoeba Challenge. Can be used to translate from Sinhalese to English and vice versa.
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  ## Training details
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- - English - Sinhala dataset from the Tatoeba Challenge [Datasets](https://github.com/Helsinki-NLP/Tatoeba-Challenge/blob/master/Data.md) - [mT5-base pre-trained weights](https://huggingface.co/google/mt5-base)
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- ## Eval resultsSacreBLEU score - English to Sinhalese: 10.3
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- - Sinhalese to English: 24.4
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  An mT5-base model fine-tuned on the Sinhalese-English dataset in the Tatoeba Challenge. Can be used to translate from Sinhalese to English and vice versa.
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  ## Training details
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+ - English - Sinhala dataset from the Tatoeba Challenge [Datasets](https://github.com/Helsinki-NLP/Tatoeba-Challenge/blob/master/Data.md)
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+ - [mT5-base pre-trained weights](https://huggingface.co/google/mt5-base)
 
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+ ## Eval results
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+
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+ SacreBLEU score:
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+ - English to Sinhalese: 10.3
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+ - Sinhalese to English: 24.4