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EVALUATION_SUMMARY.md

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+# 📊 CodeLlama Evaluation Summary
+
+**Date:** November 25, 2025  
+**Model:** `codellama-fifo-v1`
+
+---
+
+## 🎯 Quick Summary
+
+| Metric | Value |
+|--------|-------|
+| **Training Samples Avg Similarity** | 13.30% |
+| **Test Samples Avg Similarity** | 0.93% |
+| **Overall Similarity** | 7.11% |
+| **Code Generation Rate** | 50% (training only) |
+
+---
+
+## ✅ What Worked
+
+1. **Model Loading:** Successfully loads with LoRA adapters
+2. **Training Samples:** Partial code generation (module declarations)
+3. **Training Sample 2:** 20.70% similarity (best result)
+
+---
+
+## ❌ Critical Issues
+
+1. **Incomplete Code:** Training samples generate only module declarations
+2. **Text Instead of Code:** Test samples generate repetitive text notes
+3. **Repetition:** Severe repetition in test sample outputs
+4. **Early Stopping:** Code generation stops before completion
+
+---
+
+## 🔧 Immediate Actions Needed
+
+1. **Fix Prompt Format**
+   - Match training data format exactly
+   - Test without system prompt prefix
+   - Add explicit code generation instruction
+
+2. **Adjust Inference Parameters**
+   - Try lower temperature (0.1-0.2)
+   - Increase max_new_tokens
+   - Test different stopping criteria
+
+3. **Check Training Data**
+   - Verify all samples have complete code
+   - Ensure consistent formatting
+   - Remove any text-only samples
+
+4. **Re-test with Adjusted Prompts**
+   - Use exact training format
+   - Test simpler prompts
+   - Verify generation doesn't stop early
+
+---
+
+## 📈 Detailed Results
+
+See `EVALUATION_REPORT.md` for complete analysis.
+
+---
+
+**Status:** ⚠️ **NEEDS IMPROVEMENT**  
+**Next Steps:** Adjust prompts and inference parameters, then re-test.
+