transformers tensorboard safetensors marian text2text-generation generated_from_trainer translation ar en base_model:Helsinki-NLP/opus-mt-tc-big-en-ar base_model:finetune:Helsinki-NLP/opus-mt-tc-big-en-ar license:cc-by-4.0 autotrain_compatible endpoints_compatible region:us
---
base_model: Helsinki-NLP/opus-mt-tc-big-en-ar
language:
- ar
- en
library_name: transformers
license: cc-by-4.0
pipeline_tag: translation
tags:
- generated_from_trainer
model-index:
- name: NAMAA-Space/masrawy-english-to-egyptian-arabic-translator-v2.9
  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. -->

# NAMAA-Space/masrawy-english-to-egyptian-arabic-translator-v2.9

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-ar).
It achieves the following results on the evaluation set:
- Loss: 1.2957

## Model description

This model is finetuned on Helsinki-NLP/opus-mt-tc-big-en-ar for English to Egyptian dialect translations. It was trained on more than ***150,000*** rows with more than ***10 Million tokens***

## Usage

```python 
from transformers import pipeline

modelName = "NAMAA-Space/masrawy-english-to-egyptian-arabic-translator-v2.9"
translator = pipeline("translation", model=modelName)
output = translator("Where is the nearest pharmacy")

print(output[0]['translation_text'])

```

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Framework versions

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

### Benchmarks

![image/png](https://cdn-uploads.huggingface.co/production/uploads/630535e0c7fed54edfaa1a75/sUMH310KRefhgHMkqjY_u.png)

- This model ranks second after `openai/gpt-4o` in [Egyptian translation leaderboard](https://huggingface.co/spaces/NAMAA-Space/English-to-Egyptian-Arabic-Translation-Leaderboard)


### Citation


```

If you use NAMAA-Space/masrawy-english-to-egyptian-arabic-translator-v2.9, please cite it as follows:

@article{namaa_01_2025,
    title={Masrawy English to Egyptian Translator},
    url={https://huggingface.co/NAMAA-Space/masrawy-english-to-egyptian-arabic-translator-v2.9},
    publisher={NAMAA},
    author={NAMAA Team},
    year={2025}
}
```