Update README - Run 20251012_141246

README.md

@@ -21,7 +21,7 @@ model-index:
       type: imagenet-1k
     metrics:
     - type: accuracy
-      value: 71.67
+      value: 71.73
 ---
 
 # David: Multi-Scale Crystal Classifier
@@ -51,13 +51,13 @@ as class prototypes with role-weighted similarity computation (Rose Loss).
 ## Performance
 
 ### Best Results
-- **Validation Accuracy**: 71.67%
-- **Best Epoch**: 7
-- **Final Train Accuracy**: 72.62%
+- **Validation Accuracy**: 71.73%
+- **Best Epoch**: 9
+- **Final Train Accuracy**: 73.18%
 
 ### Per-Scale Performance
-- **Scale 256**: 71.17%
-- **Scale 512**: 71.63%
+- **Scale 256**: 71.26%
+- **Scale 512**: 71.69%
 
 
 ## Usage
@@ -78,8 +78,8 @@ AbstractPhil/gated-david/
 │       └── 20251012_141246/
 │           ├── MODEL_SUMMARY.txt     # 🎯 Human-readable performance summary
 │           ├── training_history.json # 📈 Epoch-by-epoch training curve
-│           ├── best_model_acc71.67.safetensors  # ⭐ Accuracy in filename!
-│           ├── best_model_acc71.67_metadata.json
+│           ├── best_model_acc71.73.safetensors  # ⭐ Accuracy in filename!
+│           ├── best_model_acc71.73_metadata.json
 │           ├── final_model.safetensors
 │           ├── checkpoint_epoch_X_accYY.YY.safetensors
 │           ├── david_config.json
@@ -101,7 +101,7 @@ from huggingface_hub import hf_hub_download
 # Specify model variant and run
 model_name = "david_small_fast"
 run_id = "20251012_141246"
-accuracy = "71.67"  # From MODELS_INDEX.json
+accuracy = "71.73"  # From MODELS_INDEX.json
 
 # Download config
 config_path = hf_hub_download(
@@ -207,4 +207,4 @@ Special thanks to Claude (Anthropic) for debugging assistance.
 
 ---
 
-*Generated on 2025-10-12 14:26:14*
+*Generated on 2025-10-12 14:29:19*