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--- |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-en-ar |
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tags: |
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- generated_from_trainer |
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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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should probably proofread and complete it, then remove this comment. --> |
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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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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.15.1 |
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### Benchmarks |
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- BLEU: 0.3449933819584583 |
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- CHRF: 66.67228299384574 |
