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# 🎯 Final Answer: Why Response Not Accurate & What To Do
## ❌ **Root Cause: Format Mismatch**
The model is generating **unrelated Kotlin/Android code** instead of Verilog because:
1. **CodeLlama-Instruct expects chat template format**: `<s>[INST] <<SYS>>...<</SYS>> User [/INST] Response </s>`
2. **Training used simple format**: `instruction + EOS + response + EOS`
3. **Result**: Model didn't learn the task correctly → generates random code
---
## ✅ **Solution: Reformat Dataset & Retrain**
### ✅ **What I've Done:**
1. ✅ **Reformatted dataset** to use CodeLlama chat template format
- New file: `datasets/processed/elinnos_fifo_codellama_chat_format.jsonl`
2. ✅ **Split dataset** into train/val/test
- Location: `datasets/processed/split_chat_format/`
- Train: 70 samples, Val: 9, Test: 15
3. ✅ **Updated training script** to handle chat format correctly
4. ✅ **Created training script**: `start_training_chat_format.sh`
---
## 🚀 **Next Step: RETRAIN (Required)**
**You MUST retrain** because the old model won't work with the correct format.
### Quick Command:
```bash
cd /workspace/ftt/codellama-migration
source /venv/main/bin/activate
bash start_training_chat_format.sh
```
---
## 📊 **Expected Results After Retraining:**
- ✅ Model generates **Verilog code** (not unrelated text)
- ✅ Output matches training data format
- ✅ Proper code structure (module...endmodule)
- ✅ Accurate responses to FIFO generation requests
---
## 🔍 **Why You Need to Retrain:**
- **Old model**: Trained with wrong format → confused
- **Can't fix with inference changes**: Format mismatch is in training data
- **New format**: Matches CodeLlama-Instruct expectations → will work correctly
---
## 📝 **Files Ready:**
- ✅ Reformatted dataset: `datasets/processed/elinnos_fifo_codellama_chat_format.jsonl`
- ✅ Split dataset: `datasets/processed/split_chat_format/`
- ✅ Training script: `start_training_chat_format.sh`
- ✅ Updated training code: `scripts/training/finetune_codellama.py`
---
**Answer: Yes, you need to reformat the dataset and retrain. The format mismatch is why responses aren't accurate. Everything is ready - just run the training script!**
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