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---
language: ar
tags:
- arabic
- sentiment-analysis
- Farasa
- AraBERT
datasets:
- ArSAS
license: apache-2.0
---
# Arabert Sentiment Model with Farasa Preprocessing
This is a fine-tuned version of `AraBERT` using the ArSAS dataset for **sentiment analysis**.
The text was preprocessed using **Farasa** for optimal tokenization of Arabic text.
## Model Details
- **Base Model**: AraBERT v2
- **Dataset**: ArSAS (Arabic Sentiment Analysis)
- **Preprocessing**: Farasa Tokenization
- **Tasks**: Sentiment Classification (`negative`, `neutral`, `positive` , `mixed`)
## Usage
```python
from transformers import pipeline
sentiment_pipeline = pipeline(
task="text-classification",
model="Abdo36/Arabert-Sentiment-Analysis-ArSAS"
)
result = sentiment_pipeline("هذا المنتج رائع للغاية")
print(result)
```
## Training Details
- **Number of Epochs**: 2
- **Training Loss**: 0.6
- **Validation Accuracy**: 0.5
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