File size: 1,669 Bytes
64ccb77 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 | # 📊 CodeLlama Evaluation Summary
**Date:** November 25, 2025
**Model:** `codellama-fifo-v1`
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## 🎯 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) |
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## ✅ 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)
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## ❌ 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
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## 🔧 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
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## 📈 Detailed Results
See `EVALUATION_REPORT.md` for complete analysis.
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**Status:** ⚠️ **NEEDS IMPROVEMENT**
**Next Steps:** Adjust prompts and inference parameters, then re-test.
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