# mt5-sinhalese-english

## Model description

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.

## Training details
- 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)

## Eval results

SacreBLEU score:
- English to Sinhalese: 10.3
- Sinhalese to English: 24.4
{"language": ["si", "en"], "license": "apache-2.0", "tags": ["translation"], "metrics": ["sacrebleu"]}
transformers pytorch tf mt5 text2text-generation translation si en license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tf #mt5 #text2text-generation #translation #si #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

# mt5-sinhalese-english

## Model description

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.

## Training details
- English - Sinhala dataset from the Tatoeba Challenge Datasets
- mT5-base pre-trained weights

## Eval results

SacreBLEU score:
- English to Sinhalese: 10.3
- Sinhalese to English: 24.4
# mt5-sinhalese-english ## Model description

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. ## Training details
- English - Sinhala dataset from the Tatoeba Challenge Datasets
- mT5-base pre-trained weights ## Eval results

SacreBLEU score:
- English to Sinhalese: 10.3
- Sinhalese to English: 24.4
TAGS
#transformers #pytorch #tf #mt5 #text2text-generation #translation #si #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # mt5-sinhalese-english ## Model description

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. ## Training details
- English - Sinhala dataset from the Tatoeba Challenge Datasets
- mT5-base pre-trained weights ## Eval results

SacreBLEU score:
- English to Sinhalese: 10.3
- Sinhalese to English: 24.4
passage: TAGS
#transformers #pytorch #tf #mt5 #text2text-generation #translation #si #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# mt5-sinhalese-english## Model description

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.## Training details
- English - Sinhala dataset from the Tatoeba Challenge Datasets
- mT5-base pre-trained weights## Eval results

SacreBLEU score:
- English to Sinhalese: 10.3
- Sinhalese to English: 24.4