MedAssist Phi-3 Mini
Fine-tuned Microsoft Phi-3 Mini 3.8B on 15,000 medical QA examples from ChatDoctor-HealthCareMagic dataset for clinical triage assistance.
Training Details
- Base model: microsoft/Phi-3-mini-4k-instruct
- Dataset: 15,000 medical patient-doctor conversations
- Training: 1 epoch, LoRA (r=4, alpha=8)
- Hardware: Kaggle T4 GPU
- Training time: ~2 hours
Loss
- Start: 1.92
- End: 1.21
Intended Use
Clinical triage assistance — symptom assessment, severity classification, next step recommendations.
Limitations
Not a replacement for professional medical advice.
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