---
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: 1.5017

## 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: 32
- eval_batch_size: 32
- 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8299        | 1.0   | 713  | 1.5443          |
| 1.7166        | 2.0   | 1426 | 1.5219          |
| 1.5941        | 3.0   | 2139 | 1.5108          |
| 1.5231        | 4.0   | 2852 | 1.5036          |
| 1.4992        | 5.0   | 3565 | 1.5017          |


### Framework versions

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