---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ar
tags:
- generated_from_trainer
model-index:
- name: English-To-EgyptianArabic-Translator
  results: []
---

<!-- 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. -->

# English-To-EgyptianArabic-Translator

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8722

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.5425        | 1.0   | 4701  | 1.9165          |
| 1.4814        | 2.0   | 9402  | 1.8411          |
| 1.3308        | 3.0   | 14103 | 1.8098          |
| 1.2401        | 4.0   | 18804 | 1.7975          |
| 1.1253        | 5.0   | 23505 | 1.7835          |
| 1.02          | 6.0   | 28206 | 1.7948          |
| 0.9592        | 7.0   | 32907 | 1.8001          |
| 0.8913        | 8.0   | 37608 | 1.8011          |
| 0.808         | 9.0   | 42309 | 1.8004          |
| 0.7824        | 10.0  | 47010 | 1.8144          |
| 0.7382        | 11.0  | 51711 | 1.8230          |
| 0.6639        | 12.0  | 56412 | 1.8272          |
| 0.6307        | 13.0  | 61113 | 1.8363          |
| 0.6096        | 14.0  | 65814 | 1.8416          |
| 0.5885        | 15.0  | 70515 | 1.8533          |
| 0.549         | 16.0  | 75216 | 1.8609          |
| 0.5113        | 17.0  | 79917 | 1.8633          |
| 0.5041        | 18.0  | 84618 | 1.8700          |
| 0.4829        | 19.0  | 89319 | 1.8681          |
| 0.4847        | 20.0  | 94020 | 1.8722          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.1.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3