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# train_hf_batch_8_epoch_8

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on the PaulineSanchez/recipes_translation_2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6032
- Bleu: 61.6124
- Gen Len: 34.06

## 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: 8.0

### Training results



### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3

{"language": ["en", "fr"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["PaulineSanchez/recipes_translation_2"], "metrics": ["bleu"], "model-index": [{"name": "train_hf_batch_8_epoch_8", "results": [{"task": {"type": "translation", "name": "Translation"}, "dataset": {"name": "PaulineSanchez/recipes_translation_2", "type": "PaulineSanchez/recipes_translation_2", "split": "validation"}, "metrics": [{"type": "bleu", "value": 61.6124, "name": "Bleu"}]}]}]}
transformers pytorch marian text2text-generation generated_from_trainer en fr dataset:PaulineSanchez/recipes_translation_2 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #en #fr #dataset-PaulineSanchez/recipes_translation_2 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 




# train_hf_batch_8_epoch_8

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the PaulineSanchez/recipes_translation_2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6032
- Bleu: 61.6124
- Gen Len: 34.06

## 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: 8.0

### Training results



### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3

# train_hf_batch_8_epoch_8

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the PaulineSanchez/recipes_translation_2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6032
- Bleu: 61.6124
- Gen Len: 34.06 ## 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: 8.0 ### Training results ### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #en #fr #dataset-PaulineSanchez/recipes_translation_2 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
 # train_hf_batch_8_epoch_8

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the PaulineSanchez/recipes_translation_2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6032
- Bleu: 61.6124
- Gen Len: 34.06 ## 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: 8.0 ### Training results ### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3