
<!-- 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. -->

# train_hf_new_fren_batch_12_epoch_4

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-fr-en](https://huggingface.co/Helsinki-NLP/opus-mt-fr-en) on the PaulineSanchez/recipes_translation_400 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7762
- Bleu: 59.7829
- Gen Len: 29.475

## 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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 27   | 0.8249          | 57.2256 | 29.225  |
| No log        | 2.0   | 54   | 0.7964          | 58.125  | 28.95   |
| No log        | 3.0   | 81   | 0.7786          | 59.3353 | 29.35   |
| No log        | 4.0   | 108  | 0.7762          | 59.7829 | 29.475  |


### Framework versions

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

{"language": ["fr", "en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["PaulineSanchez/recipes_translation_400"], "metrics": ["bleu"], "model-index": [{"name": "train_hf_new_fren_batch_12_epoch_4", "results": [{"task": {"type": "translation", "name": "Translation"}, "dataset": {"name": "PaulineSanchez/recipes_translation_400", "type": "PaulineSanchez/recipes_translation_400", "split": "validation"}, "metrics": [{"type": "bleu", "value": 59.7829, "name": "Bleu"}]}]}]}
transformers pytorch marian text2text-generation generated_from_trainer fr en dataset:PaulineSanchez/recipes_translation_400 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #fr #en #dataset-PaulineSanchez/recipes_translation_400 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 

train\_hf\_new\_fren\_batch\_12\_epoch\_4
=========================================


This model is a fine-tuned version of Helsinki-NLP/opus-mt-fr-en on the PaulineSanchez/recipes\_translation\_400 dataset.
It achieves the following results on the evaluation set:


* Loss: 0.7762
* Bleu: 59.7829
* Gen Len: 29.475


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: 12
* eval\_batch\_size: 12
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 4.0


### Training results



### Framework versions


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



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 12
* eval\_batch\_size: 12
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 4.0 ### 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 #fr #en #dataset-PaulineSanchez/recipes_translation_400 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 12
* eval\_batch\_size: 12
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 4.0 ### Training results ### Framework versions


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