🚀 Sentiment-RoBERTa-Base

A fine-tuned RoBERTa-base model for binary sentiment classification (positive/negative).
Trained on a custom dataset across multiple sources including tweets, social comments, and headlines to handle real-world tone detection.

✅ Use this model to build sentiment-aware applications, feedback classifiers, social media monitoring tools, or LLM content filters.

🧠 Model Details

Property	Value
Base Model	roberta-base
Fine-tuned Tasks	Binary Sentiment Analysis
Classes	0 = Negative, 1 = Positive
Language	English (en)
Dataset	Custom multi-source
Framework	🤗 Transformers
Model Size	~125M parameters

📊 Evaluation (on 20% held-out test set)

Metric	Score
Accuracy	91%
F1 Score	90%
Precision	92%
Recall	89%

⚙️ Quick Start

💡 Install Required Libraries

pip install transformers torch