Upload checkpoints/cnn_vit_gnn_concat/model_delta_metadata.json with huggingface_hub

checkpoints/cnn_vit_gnn_concat/model_delta_metadata.json

@@ -5,7 +5,7 @@
     "gnn"
   ],
   "mode": "concat",
-  "seed": 1337,
+  "seed": 42,
   "config": {
     "root_img": "/kaggle/input/datasets/nilnguyenquoc/mit67-701515/MIT67_701515",
     "root_graph": "/kaggle/input/datasets/nilnguyenquoc/mit67-graphs-yolov8xworld-k3-c025-m24-vis32-iou30",
@@ -34,7 +34,7 @@
     "extract_batch_size": 64,
     "fit_split": "valid",
     "use_pca": true,
-    "pca_dim": 64,
+    "pca_dim": 192,
     "pca_max_dim": 192,
     "pca_whiten": true,
     "pca_dim_grid": [
@@ -85,23 +85,6 @@
       2024
     ],
     "branch_sets": [
-      [
-        "cnn"
-      ],
-      [
-        "vit"
-      ],
-      [
-        "gnn"
-      ],
-      [
-        "cnn",
-        "vit"
-      ],
-      [
-        "vit",
-        "gnn"
-      ],
       [
         "cnn",
         "vit",
@@ -109,8 +92,7 @@
       ]
     ],
     "modes": [
-      "concat",
-      "attention"
+      "concat"
     ],
     "gnn_arch": {
       "vocab_size": 256,
@@ -126,10 +108,10 @@
   },
   "variant": "delta",
   "metrics": {
-    "accuracy": 87.9783693843594,
-    "precision_macro": 88.348510565833,
-    "recall_macro": 85.82884469499915,
-    "f1_macro": 86.68330574832659,
-    "f1_weighted": 87.8295006258672
+    "accuracy": 88.14475873544093,
+    "precision_macro": 88.52393044065458,
+    "recall_macro": 86.06101138229428,
+    "f1_macro": 86.89293864923745,
+    "f1_weighted": 88.01096573461483
   }
 }