Upload fedprox/rounds/round_13/hospital_NVIDIA_round_13_metadata.json with huggingface_hub

fedprox/rounds/round_13/hospital_NVIDIA_round_13_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 13,
+    "status": "completed",
+    "method": "FedProx",
+    "local_training_method": "FedProx",
+    "aggregation_method": "FedAvg",
+    "fedprox_mu": 0.01,
+    "experiment_folder": "fedprox",
+    "train_samples": 2283,
+    "val_samples": 384,
+    "samples": 2283,
+    "local_epochs": 1,
+    "base_global_model": "fedprox/global_model_round_13.safetensors",
+    "created_at": "2026-05-25T09:48:20.339083",
+    "train_loss": 0.5078154303547409,
+    "train_accuracy": 0.8440648269820412,
+    "train_sensitivity_macro": 0.8169590927860719,
+    "train_specificity_macro": 0.9682304040404303,
+    "train_precision_macro": 0.7464384606866917,
+    "train_f1_macro": 0.7769943619481056,
+    "train_auc_macro_ovr": 0.9766690163264817,
+    "val_loss": 0.5612751488418629,
+    "val_accuracy": 0.8125,
+    "val_sensitivity_macro": 0.5833654373381593,
+    "val_specificity_macro": 0.9610468001191957,
+    "val_precision_macro": 0.623113318813126,
+    "val_f1_macro": 0.5783437602068353,
+    "val_auc_macro_ovr": 0.9475873340709794,
+    "delta_file": "hospital_NVIDIA_round_13_delta.safetensors"
+}