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Arabert-Sentiment-Analysis-ArSAS
Abdo36/Arabert-Sentiment-Analysis-ArSAS
Arabert-Sentiment-Analysis-ArSAS is a machine learning model from Abdo36. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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.
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At a glance
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 14, 2024
- Updated
- Nov 14, 2024
- SHA
- 1462eac2
Datasets
Model card
From the Hugging Face model README
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
- Type
- bert
- License
- apache-2.0
- Languages
- ar
- Created
- Nov 14, 2024
- Updated
- Nov 14, 2024