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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.
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