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# dz2en-mabart50

This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4027
- Bleu: 2.3202
- Gen Len: 10.4274

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"tags": ["translation", "generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "dz2en-mabart50", "results": []}]}
transformers pytorch mbart text2text-generation translation generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #mbart #text2text-generation #translation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 




# dz2en-mabart50

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4027
- Bleu: 2.3202
- Gen Len: 10.4274

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

# dz2en-mabart50

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4027
- Bleu: 2.3202
- Gen Len: 10.4274 ## Model description

More information needed ## Intended uses & limitations

More information needed ## Training and evaluation data

More information needed ## Training procedure ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1 ### Training results ### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
TAGS
#transformers #pytorch #mbart #text2text-generation #translation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 # dz2en-mabart50

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4027
- Bleu: 2.3202
- Gen Len: 10.4274 ## Model description

More information needed ## Intended uses & limitations

More information needed ## Training and evaluation data

More information needed ## Training procedure ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1 ### Training results ### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3