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.
- Downloads last month
- 8
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
HF Inference deployability: The model has no library tag.