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# train_hf_new_batch_8_epoch_3

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_400 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7390
- Bleu: 57.269
- Gen Len: 36.1375

## 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

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 40   | 0.7647          | 56.4458 | 36.4625 |
| No log        | 2.0   | 80   | 0.7441          | 55.8074 | 36.4625 |
| No log        | 3.0   | 120  | 0.7390          | 57.269  | 36.1375 |


### 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_400"], "metrics": ["bleu"], "model-index": [{"name": "train_hf_new_batch_8_epoch_3", "results": [{"task": {"type": "translation", "name": "Translation"}, "dataset": {"name": "PaulineSanchez/recipes_translation_400", "type": "PaulineSanchez/recipes_translation_400", "split": "validation"}, "metrics": [{"type": "bleu", "value": 57.269, "name": "Bleu"}]}]}]}
transformers pytorch marian text2text-generation generated_from_trainer en fr 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 #en #fr #dataset-PaulineSanchez/recipes_translation_400 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 

train\_hf\_new\_batch\_8\_epoch\_3
==================================


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


* Loss: 0.7390
* Bleu: 57.269
* Gen Len: 36.1375


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