Update metrics - Run 20251012_040642

best_model.json

@@ -1,35 +1,32 @@
 {
-  "model_name": "David-decoupled-deep_efficiency",
-  "run_id": "20251012_032356",
-  "timestamp": "2025-10-12T03:54:33.296839",
-  "best_val_acc": 75.532,
-  "best_epoch": 8,
-  "final_train_acc": 76.20560005057888,
-  "final_train_loss": 2.2150557283014534,
+  "model_name": "David-partial_shared-deep_efficiency",
+  "run_id": "20251012_040642",
+  "timestamp": "2025-10-12T04:09:09.631645",
+  "best_val_acc": 79.488,
+  "best_epoch": 0,
+  "final_train_acc": 67.09624896676233,
+  "final_train_loss": 2.461788513409063,
   "scale_accuracies": {
-    "256": 75.532,
-    "512": 77.548,
-    "768": 77.802
+    "384": 79.488
   },
   "architecture": {
-    "preset": "high_accuracy",
-    "sharing_mode": "decoupled",
+    "preset": "clip_vit_l14",
+    "sharing_mode": "partial_shared",
     "fusion_mode": "deep_efficiency",
     "scales": [
-      256,
-      512,
+      384,
       768,
       1024,
       1280
     ],
-    "feature_dim": 512,
+    "feature_dim": 768,
     "num_classes": 1000,
     "use_belly": true,
-    "belly_expand": 2.5
+    "belly_expand": 2.0
   },
   "training": {
     "dataset": "AbstractPhil/imagenet-clip-features-orderly",
-    "model_variant": "clip_vit_b16",
+    "model_variant": "clip_vit_l14",
     "num_epochs": 20,
     "batch_size": 1024,
     "learning_rate": 0.01,