---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ar
tags:
- generated_from_trainer
model-index:
- name: masrawy-english-arabic-translator-clauda-opus-v1
  results: []
datasets:
- oddadmix/egyptian_english_arabic_claude
language:
- en
- ar
metrics:
- bleu
- chrf
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# masrawy-english-arabic-translator-clauda-opus-v1

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.
It achieves the following results on the evaluation set:
- Loss: 2.0078

## Model description

This model is finetuned on opus-mt-en-ar for English to Egyptian dialect translations

## Usage

```python 
from transformers import pipeline

modelName = "oddadmix/masrawy-english-arabic-translator-v2"
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: 10

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.15.1

### Benchmarks
- BLEU: 0.3449933819584583
- CHRF: 66.67228299384574