---
language:
- ar
- en
metrics:
- bleu
base_model:
- Helsinki-NLP/opus-mt-ar-en
pipeline_tag: translation
tags:
- transformers
- translation
---


# Helsinki-NLP Fine-Tuned Model (Arabic → English)

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on a custom dataset.

## Model Details
- **Source language:** Arabic (`ar`)
- **Target language:** English (`en`)
- **Fine-tuned on:** Custom dataset for e-commerce translations
- **Base model:** Helsinki-NLP/opus-mt-ar-en

## How to Use

You can use this model with the `transformers` library:

```python
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

model_name = "LuigiJoseph/Helsinki-ar-en-ft"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)

text = "مرحبا بالعالم, كيف حالك؟"
inputs = tokenizer.encode(text, return_tensors="pt")
outputs = model.generate(inputs)
translation = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(translation)  # English translations
```

# **Evaluation Metrics**
The performance of the base model and the fine-tuned model was measured using the **BLEU** metric:

| Model | BLEU Score |
|--------|-----------|
| **Base Model** ([Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en)) | **42.85** |
| **Fine-Tuned Model (this one)** | **80.79** |