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README.md
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## 📊 Evaluation Results
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The fine-tuned DistilBERT model was evaluated on a test dataset containing both phishing and legitimate emails. Below is a summary of its performance compared to baseline models (raw DistilBERT and raw BERT):
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### 📈 Fine-Tuned DistilBERT (Best Performing)
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## 📊 Evaluation Results
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For updated results and runs check this public wandb project. [Full Report](https://wandb.ai/dahalaamosh-harrisburg-university/Phishing_Detection_DistilBERT_Uncased)
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The fine-tuned DistilBERT model was evaluated on a test dataset containing both phishing and legitimate emails. Below is a summary of its performance compared to baseline models (raw DistilBERT and raw BERT):
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### 📈 Fine-Tuned DistilBERT (Best Performing)
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