
# 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:** 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

The data used for testing was the 2632-instance 'test' split of the 'enimai/MuST-C-fr dataset.
{"language": ["en", "fr"], "tags": ["translation", "NLP"], "datasets": ["enimai/MuST-C-fr"], "metrics": ["sacrebleu"], "pipeline_tag": "text2text-generation"}
transformers pytorch tensorboard t5 text2text-generation translation NLP en fr dataset:enimai/MuST-C-fr autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #translation #NLP #en #fr #dataset-enimai/MuST-C-fr #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# Model Card for Model ID



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

### Model Description



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


## Training Details

### Training Data



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

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



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



- Model type: Text2Text Generation
- Language(s) (NLP): English, French
- Finetuned from model: T5-Base ## Training Details ### Training Data



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

The data used for testing was the 2632-instance 'test' split of the 'enimai/MuST-C-fr dataset.
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #translation #NLP #en #fr #dataset-enimai/MuST-C-fr #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Model Card for Model ID



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



- Model type: Text2Text Generation
- Language(s) (NLP): English, French
- Finetuned from model: T5-Base ## Training Details ### Training Data



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

The data used for testing was the 2632-instance 'test' split of the 'enimai/MuST-C-fr dataset.
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #translation #NLP #en #fr #dataset-enimai/MuST-C-fr #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# Model Card for Model ID



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



- Model type: Text2Text Generation
- Language(s) (NLP): English, French
- Finetuned from model: T5-Base## Training Details### Training Data



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

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