--- license: cc-by-4.0 base_model: Helsinki-NLP/opus-mt-tc-big-en-ar tags: - generated_from_trainer model-index: - name: NAMAA-Space/masrawy-english-to-egyptian-arabic-translator-v2.9 results: [] language: - ar - en pipeline_tag: translation --- # 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} } ```