Upload fedprox/rounds/round_3/hospital_NVIDIA_round_3_metadata.json with huggingface_hub

fedprox/rounds/round_3/hospital_NVIDIA_round_3_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 3,
+    "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_3.safetensors",
+    "created_at": "2026-05-25T09:21:29.137139",
+    "train_loss": 0.9243819117546082,
+    "train_accuracy": 0.738939991239597,
+    "train_sensitivity_macro": 0.5283264089839086,
+    "train_specificity_macro": 0.9459210048607712,
+    "train_precision_macro": 0.6563178874172314,
+    "train_f1_macro": 0.52054655159183,
+    "train_auc_macro_ovr": 0.9352440812930974,
+    "val_loss": 0.6366434468266865,
+    "val_accuracy": 0.8046875,
+    "val_sensitivity_macro": 0.5659023906192389,
+    "val_specificity_macro": 0.9609339477964394,
+    "val_precision_macro": 0.49778317782976167,
+    "val_f1_macro": 0.5211958664143184,
+    "val_auc_macro_ovr": 0.9366624210167199,
+    "delta_file": "hospital_NVIDIA_round_3_delta.safetensors"
+}