Update README - Run 20251012_050214

README.md

@@ -21,7 +21,7 @@ model-index:
       type: imagenet-1k
     metrics:
     - type: accuracy
-      value: 81.55
+      value: 81.82
 ---
 
 # David: Multi-Scale Crystal Classifier
@@ -51,15 +51,16 @@ as class prototypes with role-weighted similarity computation (Rose Loss).
 ## Performance
 
 ### Best Results
-- **Validation Accuracy**: 81.55%
-- **Best Epoch**: 3
-- **Final Train Accuracy**: 85.34%
+- **Validation Accuracy**: 81.82%
+- **Best Epoch**: 4
+- **Final Train Accuracy**: 86.37%
 
 ### Per-Scale Performance
-- **Scale 256**: 81.55%
-- **Scale 512**: 81.49%
-- **Scale 768**: 81.39%
-- **Scale 1024**: 80.92%
+- **Scale 256**: 81.82%
+- **Scale 512**: 81.94%
+- **Scale 768**: 81.97%
+- **Scale 1024**: 81.79%
+- **Scale 1280**: 81.45%
 
 
 ## Usage
@@ -182,4 +183,4 @@ Special thanks to Claude (Anthropic) for debugging assistance.
 
 ---
 
-*Generated on 2025-10-12 05:11:38*
+*Generated on 2025-10-12 05:13:59*