Update README.md

README.md

@@ -125,11 +125,11 @@ preds = predictor.predict(test_df[["image"]])
 - **Weighted F1:** Harmonic mean of precision/recall, weighted by support  
 
 ### Results (example — replace with actuals)
-- **Augmented test:** Accuracy = 0.8123, Weighted F1 = 0.8089  
-- **Original validation:** Accuracy = 0.9021, Weighted F1 = 0.8977  
+- **Augmented test:** Accuracy = 0.7429, Weighted F1 = 0.7392  
+- **Original validation:** Accuracy = 0.8621, Weighted F1 = 0.8620  
 
 ## Environmental Impact
-- **Hardware:** CPU or single GPU (short run)  
+- **Hardware:** Single GPU (short run)  
 - **Training wall-time:** < 10 minutes  
 - **Estimated emissions:** negligible  
 - **Cloud provider:** N/A (depends on student setup)