Update README.md

README.md

@@ -13,7 +13,7 @@ Unlike standard pre-trained models (like BERT), this architecture was built from
 
 * **Architecture**: 4-Layer Transformer Encoder
 * **Task**: Binary Sentiment Analysis (Positive/Negative)
-* **Accuracy**: 89.67% on Test Set
+* **Accuracy**: 89.73% on Test Set
 * **Parameters**: Optimized for efficient inference on edge devices
 
 ## 🛠️ Technical Specifications
@@ -26,6 +26,7 @@ Unlike standard pre-trained models (like BERT), this architecture was built from
 ## 💻 Training Environment
 This model was trained locally on an **Apple Mac mini M4** with **24GB of Unified Memory**.
 * **Accelerator**: Metal Performance Shaders (MPS)
+* **Training Time**: ~1.5 hours
 * **Dataset**: Subset of 500,000 samples from Amazon Polarity
 
 ## 📈 Performance & Insights