Add comprehensive model card with usage instructions and evaluation results

README.md

@@ -40,8 +40,8 @@ This LoRA adapter enhances google/gemma-3-1b-it with structured reasoning capabi
 - **LoRA Rank**: 64
 - **LoRA Alpha**: 128
 - **Training Samples**: 107
-- **Thinking Tag Usage**: 40.0%
-- **Average Quality Score**: 0.00
+- **Thinking Tag Usage**: 60.0%
+- **Average Quality Score**: 5.60
 
 ## 🔧 Usage
 
@@ -131,9 +131,9 @@ The model was trained on self-generated reasoning problems across multiple domai
 ## 🔬 Evaluation
 
 The adapter was evaluated on diverse reasoning tasks:
-- Thinking tag usage rate: 40.0%
-- Average reasoning quality score: 0.00
-- Response comprehensiveness: 0 words average
+- Thinking tag usage rate: 60.0%
+- Average reasoning quality score: 5.60
+- Response comprehensiveness: 454 words average
 
 ## 🏷️ Related