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# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
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# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->

This model provides the translation of short English sentences into French.
## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->

- **Model type:** Text2Text Generation
- **Language(s) (NLP):** English, French
- **Finetuned from model [optional]:** T5-Base


## Training Details

### Training Data

<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->

The data used for traing was a randomized 10000-instance sub-set obtained from the 'train' split of the 'enimai/MuST-C-fr dataset.

## Evaluation

The evaluation was made using 'sacrebleu'

### Testing Data, Factors & Metrics

#### Testing Data

The data used for testing was the 2632-instance 'test' split of the 'enimai/MuST-C-fr dataset.