metadata

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

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

This model is a fine-tuned version of 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

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