metadata
language:
- ar
metrics:
- bleu
- accuracy
library_name: transformers
pipeline_tag: text-classification
tags:
- t5
- Classification
- ArabicT5
- Text Classification
widget:
- example_title: الثقافي
- text: >
الزين فيك القناه الاولي المغربيه الزين فيك القناه الاولي المغربيه اخبارنا
المغربيه متابعه تفاجا زوار موقع القناه الاولي المغربي
# Arabic text classification using deep learning (ArabicT5)
- SANAD: Single-label Arabic News Articles Dataset for automatic text categorization [https://www.researchgate.net/publication/333605992_SANAD_Single-Label_Arabic_News_Articles_Dataset_for_Automatic_Text_Categorization] [https://data.mendeley.com/datasets/57zpx667y9/2]
category_mapping = { 'Politics':1, 'Finance':2, 'Medical':3, 'Sports':4, 'Culture':5, 'Tech':6, 'Religion':7 }
# Training parameters
| Training batch size | 8 |
| Evaluation batch size | 8 |
| Learning rate | 1e-4 |
| Max length input | 128 |
| Max length target | 3 |
| Number workers | 4 |
| Epoch | 2 |
# Results
| Validation Loss | 0.0479 |
| Accuracy | 96.% |
| BLeU | 96% |
# Example usage
```bash