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

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