---
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: 2.3011

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.9907        | 1.0   | 2396  | 2.7717          |
| 2.6732        | 2.0   | 4792  | 2.5879          |
| 2.4873        | 3.0   | 7188  | 2.5003          |
| 2.2897        | 4.0   | 9584  | 2.4407          |
| 2.2402        | 5.0   | 11980 | 2.4038          |
| 2.1045        | 6.0   | 14376 | 2.3795          |
| 2.032         | 7.0   | 16772 | 2.3621          |
| 1.9792        | 8.0   | 19168 | 2.3410          |
| 1.9129        | 9.0   | 21564 | 2.3319          |
| 1.8975        | 10.0  | 23960 | 2.3192          |
| 1.8107        | 11.0  | 26356 | 2.3170          |
| 1.7901        | 12.0  | 28752 | 2.3128          |
| 1.7654        | 13.0  | 31148 | 2.3061          |
| 1.6899        | 14.0  | 33544 | 2.3042          |
| 1.6535        | 15.0  | 35940 | 2.3061          |
| 1.6733        | 16.0  | 38336 | 2.3027          |
| 1.6643        | 17.0  | 40732 | 2.3029          |
| 1.6471        | 18.0  | 43128 | 2.2996          |
| 1.6138        | 19.0  | 45524 | 2.3013          |
| 1.5878        | 20.0  | 47920 | 2.3011          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.15.1