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# en2arCkptfromgendata

This model is a fine-tuned version of [Botnoi/ckpt_marian_mt_en_ar_health](https://huggingface.co/Botnoi/ckpt_marian_mt_en_ar_health) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7945
- Bleu: 53.6921

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.841         | 1.0   | 37   | 0.8527          | 49.1712 |
| 0.4988        | 2.0   | 74   | 0.8091          | 51.9279 |
| 0.3991        | 3.0   | 111  | 0.8032          | 52.7260 |
| 0.3414        | 4.0   | 148  | 0.7959          | 53.4123 |
| 0.2818        | 5.0   | 185  | 0.7927          | 54.3209 |
| 0.2784        | 6.0   | 222  | 0.7920          | 53.4743 |
| 0.2309        | 7.0   | 259  | 0.7914          | 54.3270 |
| 0.2098        | 8.0   | 296  | 0.7894          | 53.5568 |
| 0.1714        | 9.0   | 333  | 0.7939          | 53.6273 |
| 0.2173        | 10.0  | 370  | 0.7945          | 53.6921 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

{"tags": ["translation", "generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "en2arCkptfromgendata", "results": []}]}
transformers pytorch marian text2text-generation translation generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #marian #text2text-generation #translation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

en2arCkptfromgendata
====================


This model is a fine-tuned version of Botnoi/ckpt\_marian\_mt\_en\_ar\_health on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.7945
* Bleu: 53.6921


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: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #marian #text2text-generation #translation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #marian #text2text-generation #translation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2