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# mbart50-finetuned-multi30-en-to-de

This model is a fine-tuned version of [facebook/mbart-large-50-one-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5946
- Bleu: 48.2650

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.13.0
- Pytorch 1.10.0+cu113
- Datasets 2.2.2
- Tokenizers 0.10.3

{"tags": ["translation"], "metrics": ["bleu"], "model-index": [{"name": "mbart50-finetuned-multi30-en-to-de", "results": []}]}
transformers pytorch tensorboard mbart text2text-generation translation autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #mbart #text2text-generation #translation #autotrain_compatible #endpoints_compatible #region-us 




# mbart50-finetuned-multi30-en-to-de

This model is a fine-tuned version of facebook/mbart-large-50-one-to-many-mmt on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5946
- Bleu: 48.2650

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.13.0
- Pytorch 1.10.0+cu113
- Datasets 2.2.2
- Tokenizers 0.10.3

# mbart50-finetuned-multi30-en-to-de

This model is a fine-tuned version of facebook/mbart-large-50-one-to-many-mmt on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5946
- Bleu: 48.2650 ## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP ### Training results ### Framework versions

- Transformers 4.13.0
- Pytorch 1.10.0+cu113
- Datasets 2.2.2
- Tokenizers 0.10.3
TAGS
#transformers #pytorch #tensorboard #mbart #text2text-generation #translation #autotrain_compatible #endpoints_compatible #region-us 
 # mbart50-finetuned-multi30-en-to-de

This model is a fine-tuned version of facebook/mbart-large-50-one-to-many-mmt on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5946
- Bleu: 48.2650 ## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP ### Training results ### Framework versions

- Transformers 4.13.0
- Pytorch 1.10.0+cu113
- Datasets 2.2.2
- Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #tensorboard #mbart #text2text-generation #translation #autotrain_compatible #endpoints_compatible #region-us 
# mbart50-finetuned-multi30-en-to-de

This model is a fine-tuned version of facebook/mbart-large-50-one-to-many-mmt on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5946
- Bleu: 48.2650## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP### Training results### Framework versions

- Transformers 4.13.0
- Pytorch 1.10.0+cu113
- Datasets 2.2.2
- Tokenizers 0.10.3