LuigiJoseph/Helsinki-ar-en-ft

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

This model is a fine-tuned version of 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:

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)	42.85
Fine-Tuned Model (this one)	80.79