Update README - Run 20251012_221046

README.md

@@ -21,7 +21,7 @@ model-index:
       type: imagenet-1k
     metrics:
     - type: accuracy
-      value: 64.86
+      value: 65.19
 ---
 
 # David: Multi-Scale Feature Classifier
@@ -55,14 +55,15 @@ exist simultaneously in the same shared space with the correct checks and spacin
 ## Performance
 
 ### Best Results
-- **Validation Accuracy**: 64.86%
-- **Best Epoch**: 2
-- **Final Train Accuracy**: 62.79%
+- **Validation Accuracy**: 65.19%
+- **Best Epoch**: 3
+- **Final Train Accuracy**: 63.58%
 
 ### Per-Scale Performance
-- **Scale 256**: 64.86%
-- **Scale 512**: 70.63%
-- **Scale 768**: 70.71%
+- **Scale 256**: 65.19%
+- **Scale 512**: 71.13%
+- **Scale 768**: 72.20%
+- **Scale 1024**: 71.39%
 
 
 ## Usage
@@ -83,8 +84,8 @@ AbstractPhil/david-shared-space/
 │       └── 20251012_221046/
 │           ├── MODEL_SUMMARY.txt     # 🎯 Human-readable performance summary
 │           ├── training_history.json # 📈 Epoch-by-epoch training curve
-│           ├── best_model_acc64.86.safetensors  # ⭐ Accuracy in filename!
-│           ├── best_model_acc64.86_metadata.json
+│           ├── best_model_acc65.19.safetensors  # ⭐ Accuracy in filename!
+│           ├── best_model_acc65.19_metadata.json
 │           ├── final_model.safetensors
 │           ├── checkpoint_epoch_X_accYY.YY.safetensors
 │           ├── david_config.json
@@ -106,7 +107,7 @@ from huggingface_hub import hf_hub_download
 # Specify model variant and run
 model_name = "david_high_accuracy"
 run_id = "20251012_221046"
-accuracy = "64.86"  # From MODELS_INDEX.json
+accuracy = "65.19"  # From MODELS_INDEX.json
 
 # Download config
 config_path = hf_hub_download(
@@ -215,4 +216,4 @@ Special thanks to Claude (Anthropic) for debugging assistance.
 
 ---
 
-*Generated on 2025-10-12 22:24:48*
+*Generated on 2025-10-12 22:29:28*