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# ar2enCkptfromgendata_03

This model is a fine-tuned version of [Shularp/ar2enCkptfromgendata_02](https://huggingface.co/Shularp/ar2enCkptfromgendata_02) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8021
- Bleu: 54.7767

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.1882        | 1.0   | 38   | 0.8021          | 54.7767 |
| 0.2384        | 2.0   | 76   | 0.8021          | 54.7767 |
| 0.2024        | 3.0   | 114  | 0.8021          | 54.7767 |
| 0.1823        | 4.0   | 152  | 0.8021          | 54.7767 |
| 0.2082        | 5.0   | 190  | 0.8021          | 54.7767 |
| 0.2366        | 6.0   | 228  | 0.8021          | 54.7767 |
| 0.2485        | 7.0   | 266  | 0.8021          | 54.7767 |
| 0.199         | 8.0   | 304  | 0.8021          | 54.7767 |
| 0.2307        | 9.0   | 342  | 0.8021          | 54.7767 |
| 0.2629        | 10.0  | 380  | 0.8021          | 54.7767 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"tags": ["translation", "generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "ar2enCkptfromgendata_03", "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 

ar2enCkptfromgendata\_03
========================


This model is a fine-tuned version of Shularp/ar2enCkptfromgendata\_02 on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.8021
* Bleu: 54.7767


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


### Training results



### Framework versions


* Transformers 4.30.2
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### 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 ### Training results ### Framework versions


* Transformers 4.30.2
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
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 ### Training results ### Framework versions


* Transformers 4.30.2
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3