| # 📋 Summary: Why Response Not Accurate & Solution | |
| ## 🔍 Root Cause Analysis | |
| ### ❌ The Problem | |
| 1. **Format Mismatch**: | |
| - CodeLlama-Instruct expects: `<s>[INST] <<SYS>>...<</SYS>> User [/INST] Response </s>` | |
| - Training used: `instruction + EOS + response + EOS` (simple format) | |
| 2. **Model Confusion**: | |
| - Model was trained with wrong format | |
| - During inference, format doesn't match | |
| - Result: Model generates **unrelated code** (Kotlin/Android instead of Verilog) | |
| 3. **Why It Happened**: | |
| - CodeLlama-Instruct is a chat model, designed for chat template format | |
| - Simple format confused the model's internal expectations | |
| --- | |
| ## ✅ Solution Applied | |
| ### Step 1: Reformatted Dataset ✅ | |
| - Created new dataset with CodeLlama chat template format | |
| - Location: `datasets/processed/elinnos_fifo_codellama_chat_format.jsonl` | |
| ### Step 2: Split Dataset ✅ | |
| - Train: 70 samples (75%) | |
| - Val: 9 samples (10%) | |
| - Test: 15 samples (15%) | |
| - Location: `datasets/processed/split_chat_format/` | |
| ### Step 3: Updated Training Script ✅ | |
| - Fixed tokenization to handle chat format correctly | |
| - Format: `instruction + response + EOS` (instruction already has chat template) | |
| --- | |
| ## 🔄 Next Step: Retrain | |
| **You MUST retrain** because: | |
| - Old model was trained with wrong format | |
| - Old model won't work correctly | |
| - Need to retrain with chat format | |
| ### Quick Start: | |
| ```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) | |
| ✅ Model understands the task correctly | |
| ✅ Outputs match training data format | |
| ✅ Proper code structure (module...endmodule) | |
| --- | |
| ## 🎯 Key Takeaways | |
| 1. **CodeLlama-Instruct needs chat template format** - Not optional! | |
| 2. **Format mismatch causes wrong outputs** - Model generates unrelated code | |
| 3. **Must retrain** - Can't fix with inference changes alone | |
| 4. **New dataset is ready** - Just need to retrain | |
| --- | |
| ## 📝 Files Created | |
| - ✅ `datasets/processed/elinnos_fifo_codellama_chat_format.jsonl` - Reformatted dataset | |
| - ✅ `datasets/processed/split_chat_format/` - Split train/val/test | |
| - ✅ `start_training_chat_format.sh` - Training script | |
| - ✅ `RETRAIN_WITH_CHAT_FORMAT.md` - Detailed instructions | |
| --- | |
| **Ready to retrain? Run: `bash start_training_chat_format.sh`** | |