
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# en-de

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7436
- Bleu: 50.7327
- Gen Len: 44.9583

## 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: 3.0

### Training results



### Framework versions

- Transformers 4.29.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.11.0
- Tokenizers 0.13.3

{"language": ["en", "de"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "en-de", "results": []}]}
transformers pytorch mt5 text2text-generation generated_from_trainer en de license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #mt5 #text2text-generation #generated_from_trainer #en #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# en-de

This model is a fine-tuned version of google/mt5-small on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7436
- Bleu: 50.7327
- Gen Len: 44.9583

## 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: 3.0

### Training results



### Framework versions

- Transformers 4.29.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.11.0
- Tokenizers 0.13.3

# en-de

This model is a fine-tuned version of google/mt5-small on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7436
- Bleu: 50.7327
- Gen Len: 44.9583 ## 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: 3.0 ### Training results ### Framework versions

- Transformers 4.29.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.11.0
- Tokenizers 0.13.3
TAGS
#transformers #pytorch #mt5 #text2text-generation #generated_from_trainer #en #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # en-de

This model is a fine-tuned version of google/mt5-small on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7436
- Bleu: 50.7327
- Gen Len: 44.9583 ## 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: 3.0 ### Training results ### Framework versions

- Transformers 4.29.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.11.0
- Tokenizers 0.13.3