Update README - Run 20251104_124032

README.md

@@ -21,7 +21,7 @@ model-index:
       type: imagenet-1k
     metrics:
     - type: accuracy
-      value: 77.93
+      value: 78.18
 ---
 
 # David: Multi-Scale Feature Classifier
@@ -51,15 +51,15 @@ as class prototypes with role-weighted similarity computation (Rose Loss).
 ## Performance
 
 ### Best Results
-- **Validation Accuracy**: 77.93%
-- **Best Epoch**: 3
-- **Final Train Accuracy**: 83.36%
+- **Validation Accuracy**: 78.18%
+- **Best Epoch**: 4
+- **Final Train Accuracy**: 84.90%
 
 ### Per-Scale Performance
-- **Scale 256**: 76.46%
-- **Scale 512**: 77.31%
-- **Scale 768**: 77.32%
-- **Scale 1024**: 77.41%
+- **Scale 256**: 76.70%
+- **Scale 512**: 77.53%
+- **Scale 768**: 77.62%
+- **Scale 1024**: 77.56%
 
 
 ## Usage
@@ -80,8 +80,8 @@ AbstractPhil/gated-david/
 │       └── 20251104_124032/
 │           ├── MODEL_SUMMARY.txt     # 🎯 Human-readable performance summary
 │           ├── training_history.json # 📈 Epoch-by-epoch training curve
-│           ├── best_model_acc77.93.safetensors  # ⭐ Accuracy in filename!
-│           ├── best_model_acc77.93_metadata.json
+│           ├── best_model_acc78.18.safetensors  # ⭐ Accuracy in filename!
+│           ├── best_model_acc78.18_metadata.json
 │           ├── final_model.safetensors
 │           ├── checkpoint_epoch_X_accYY.YY.safetensors
 │           ├── david_config.json
@@ -103,7 +103,7 @@ from huggingface_hub import hf_hub_download
 # Specify model variant and run
 model_name = "david_clip_vit_b16_cantor"
 run_id = "20251104_124032"
-accuracy = "77.93"  # From MODELS_INDEX.json
+accuracy = "78.18"  # From MODELS_INDEX.json
 
 # Download config
 config_path = hf_hub_download(
@@ -209,4 +209,4 @@ Special thanks to Claude (Anthropic) for debugging assistance.
 
 ---
 
-*Generated on 2025-11-04 12:48:31*
+*Generated on 2025-11-04 12:50:33*