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  model-index:
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  - name: masrawy-english-arabic-translator-clauda-opus-v1
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  results: []
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  # masrawy-english-arabic-translator-clauda-opus-v1
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- 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.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.0078
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  ## Model description
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- More information needed
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- ## Intended uses & limitations
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- More information needed
 
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- ## Training and evaluation data
 
 
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- More information needed
 
 
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  ## Training procedure
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  model-index:
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  - name: masrawy-english-arabic-translator-clauda-opus-v1
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  results: []
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+ datasets:
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+ - oddadmix/egyptian_english_arabic_claude
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+ language:
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+ - en
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+ - ar
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+ metrics:
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+ - bleu
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+ - chrf
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # masrawy-english-arabic-translator-clauda-opus-v1
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on oddadmix/egyptian_english_arabic_claude dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.0078
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  ## Model description
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+ This model is finetuned on opus-mt-en-ar for English to Egyptian dialect translations
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+ ## Usage
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+ ```python
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+ from transformers import pipeline
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+ modelName = "oddadmix/masrawy-english-arabic-translator-v2"
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+ translator = pipeline("translation", model=modelName)
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+ output = translator("Where is the nearest pharmacy")
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+ print(output[0]['translation_text'])
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+
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+ ```
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  ## Training procedure
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