Upload fedprox/rounds/round_15/hospital_NVIDIA_round_15_metadata.json with huggingface_hub

fedprox/rounds/round_15/hospital_NVIDIA_round_15_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 15,
+    "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_15.safetensors",
+    "created_at": "2026-05-25T09:53:40.578291",
+    "train_loss": 0.46924325699607533,
+    "train_accuracy": 0.8475689881734559,
+    "train_sensitivity_macro": 0.8232459979326178,
+    "train_specificity_macro": 0.9686419599684731,
+    "train_precision_macro": 0.7651148313970214,
+    "train_f1_macro": 0.7892351223651247,
+    "train_auc_macro_ovr": 0.9794089819487694,
+    "val_loss": 0.5874361861303138,
+    "val_accuracy": 0.8177083333333334,
+    "val_sensitivity_macro": 0.6235907781345181,
+    "val_specificity_macro": 0.963210316352988,
+    "val_precision_macro": 0.6249391233766234,
+    "val_f1_macro": 0.5973354633821609,
+    "val_auc_macro_ovr": 0.9483580556653569,
+    "delta_file": "hospital_NVIDIA_round_15_delta.safetensors"
+}