Update README.md

README.md

@@ -1,3 +1,37 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- ar
+base_model:
+- Kalmundi/Q8BERTA
+tags:
+- transformers
+- safetensors
+- sentiment-analysis
+---
+
+
+# Fine-Tuned SA-Q8BERTA Model for Sentiment Analysis
+
+This model is a fine-tuned version of [Kalmundi/Q8BERTA](https://huggingface.co/Kalmundi/Q8BERTA), which was trained on a customized dataset for sentiment analysis.
+This model mainly focuses on Sentiment Analysis for the Kuwaiti Dialect.
+
+## Model Details
+
+- **Base Model**: The original model is [Kalmundi/Q8BERTA](https://huggingface.co/Kalmundi/Q8BERTA), a transformer-based model pre-trained on a sufficient size Kuwaiti Dialect dataset.
+- **Fine-Tuning**: This model was fine-tuned on a dataset for sentiment analysis related to Kuwaiti Dialect, and it can classify text as either positive or negative.
+- **Fine-Tuning Task**: The model was fine-tuned for 5 epochs with a learning rate of `2e-5`.
+
+## Model Usage
+
+To use the model for sentiment analysis:
+
+```python
+from transformers import pipeline
+
+# Load the fine-tuned model
+classifier = pipeline("sentiment-analysis", model="Kalmundi/Q8BERTA-SA")
+
+# Test the classifier
+result = classifier("الجو اليوم وايد حلو")
+print(result)