[2025-07-14 16:31:07] 🚀 Starting NWTN optimization for llama3.1
[2025-07-14 16:31:07] 📊 Model: llama3.1
[2025-07-14 16:31:07] 📊 Strategy: full_fine_tuning
[2025-07-14 16:31:07] 📊 Estimated time: 3.0 hours
[2025-07-14 16:31:07] 🔍 Phase 1: Validating model files...
[2025-07-14 16:31:07] ✅ Model files validated
[2025-07-14 16:31:07] 📚 Phase 2: Preparing training data...
[2025-07-14 16:31:07] ✅ Training data prepared
[2025-07-14 16:31:07] 🧠 Phase 3: Starting model optimization...
[2025-07-14 16:31:07] 🔄 Step 1/5: Loading base model...
[2025-07-14 16:31:09] 🔄 Step 2/5: Applying optimization strategy...
[2025-07-14 16:31:11] 🔄 Step 3/5: Fine-tuning on NWTN reasoning data...
[2025-07-14 16:31:13] 🔄 Step 4/5: Validating performance...
[2025-07-14 16:31:15] 🔄 Step 5/5: Saving optimized model...
[2025-07-14 16:31:17] 📊 Phase 4: Generating results...
[2025-07-14 16:31:17] ✅ Optimization completed successfully!
[2025-07-14 16:31:17] 📊 Final validation accuracy: 92.0%
[2025-07-14 16:31:17] 🎯 NWTN integration score: 89.0%
[2025-07-14 16:31:17] 💾 Results saved to: models/nwtn_optimized/llama3.1_metrics.json
