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README.md

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+
+---
+language: en
+tags:
+- spam-detection
+- text-classification
+- gpt2
+license: mit
+---
+
+# GPT-2 Spam Classifier
+
+This model is a fine-tuned version of GPT-2 small for spam detection. It was trained on the SMS Spam Collection Dataset.
+
+## Model Details
+
+- Base model: GPT-2 small (124M parameters)
+- Task: Binary classification (spam vs. not spam)
+- Training Data: SMS Spam Collection Dataset
+- Fine-tuning approach: Last layer + classification head
+
+## Usage
+
+The model expects text input and returns a binary classification (spam/not spam).
+
+## Performance
+
+- Training accuracy: ~95%
+- Validation accuracy: ~95%
+- Test accuracy: ~93%
+
+## Limitations
+
+This model was trained on SMS messages and may not generalize well to other types of text content.