Update README - Run 20251012_065325

README.md

@@ -21,7 +21,7 @@ model-index:
       type: imagenet-1k
     metrics:
     - type: accuracy
-      value: 83.06
+      value: 83.09
 ---
 
 # David: Multi-Scale Crystal Classifier
@@ -51,17 +51,18 @@ as class prototypes with role-weighted similarity computation (Rose Loss).
 ## Performance
 
 ### Best Results
-- **Validation Accuracy**: 83.06%
-- **Best Epoch**: 5
-- **Final Train Accuracy**: 90.69%
+- **Validation Accuracy**: 83.09%
+- **Best Epoch**: 6
+- **Final Train Accuracy**: 92.04%
 
 ### Per-Scale Performance
-- **Scale 256**: 83.06%
-- **Scale 512**: 83.06%
-- **Scale 768**: 83.00%
-- **Scale 1024**: 82.90%
-- **Scale 1280**: 82.74%
-- **Scale 1536**: 82.49%
+- **Scale 256**: 83.09%
+- **Scale 512**: 83.16%
+- **Scale 768**: 83.14%
+- **Scale 1024**: 83.02%
+- **Scale 1280**: 82.94%
+- **Scale 1536**: 82.76%
+- **Scale 1792**: 82.60%
 
 
 ## Usage
@@ -195,4 +196,4 @@ Special thanks to Claude (Anthropic) for debugging assistance.
 
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-*Generated on 2025-10-12 07:51:02*
+*Generated on 2025-10-12 07:53:44*