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# opus-mt-ar-en-finetunedTanzil-v5-ar-to-en

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.8101
- Validation Loss: 0.9477
- Train Bleu: 9.3241
- Train Gen Len: 88.73
- Train Rouge1: 56.4906
- Train Rouge2: 34.2668
- Train Rougel: 53.2279
- Train Rougelsum: 53.7836
- Epoch: 2

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Bleu | Train Gen Len | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Epoch |
|:----------:|:---------------:|:----------:|:-------------:|:------------:|:------------:|:------------:|:---------------:|:-----:|
| 0.8735     | 0.9809          | 11.0863    | 78.68         | 56.4557      | 33.3673      | 53.4828      | 54.1197         | 0     |
| 0.8408     | 0.9647          | 9.8543     | 88.955        | 57.3797      | 34.3539      | 53.8783      | 54.3714         | 1     |
| 0.8101     | 0.9477          | 9.3241     | 88.73         | 56.4906      | 34.2668      | 53.2279      | 53.7836         | 2     |


### Framework versions

- Transformers 4.17.0.dev0
- TensorFlow 2.7.0
- Datasets 1.18.4.dev0
- Tokenizers 0.10.3

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "opus-mt-ar-en-finetunedTanzil-v5-ar-to-en", "results": []}]}
transformers tf marian text2text-generation generated_from_keras_callback license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #tf #marian #text2text-generation #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

opus-mt-ar-en-finetunedTanzil-v5-ar-to-en
=========================================


This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on an unknown dataset.
It achieves the following results on the evaluation set:


* Train Loss: 0.8101
* Validation Loss: 0.9477
* Train Bleu: 9.3241
* Train Gen Len: 88.73
* Train Rouge1: 56.4906
* Train Rouge2: 34.2668
* Train Rougel: 53.2279
* Train Rougelsum: 53.7836
* Epoch: 2


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:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': 2e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32


### Training results



### Framework versions


* Transformers 4.17.0.dev0
* TensorFlow 2.7.0
* Datasets 1.18.4.dev0
* Tokenizers 0.10.3



### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': 2e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.17.0.dev0
* TensorFlow 2.7.0
* Datasets 1.18.4.dev0
* Tokenizers 0.10.3
TAGS
#transformers #tf #marian #text2text-generation #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': 2e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.17.0.dev0
* TensorFlow 2.7.0
* Datasets 1.18.4.dev0
* Tokenizers 0.10.3
passage: TAGS
#transformers #tf #marian #text2text-generation #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': 2e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32### Training results### Framework versions


* Transformers 4.17.0.dev0
* TensorFlow 2.7.0
* Datasets 1.18.4.dev0
* Tokenizers 0.10.3