Upload fedprox/rounds/round_5/hospital_NVIDIA_round_5_metadata.json with huggingface_hub

fedprox/rounds/round_5/hospital_NVIDIA_round_5_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 5,
+    "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_5.safetensors",
+    "created_at": "2026-05-25T09:26:47.286282",
+    "train_loss": 0.7699965644213889,
+    "train_accuracy": 0.7862461673236969,
+    "train_sensitivity_macro": 0.6937168101861612,
+    "train_specificity_macro": 0.9553464196891374,
+    "train_precision_macro": 0.7109104651946984,
+    "train_f1_macro": 0.6780541066630964,
+    "train_auc_macro_ovr": 0.949274862383838,
+    "val_loss": 0.5603703944943845,
+    "val_accuracy": 0.8229166666666666,
+    "val_sensitivity_macro": 0.6377616522614636,
+    "val_specificity_macro": 0.9612359295183059,
+    "val_precision_macro": 0.6097786187382346,
+    "val_f1_macro": 0.6061885948409215,
+    "val_auc_macro_ovr": 0.9438275431843647,
+    "delta_file": "hospital_NVIDIA_round_5_delta.safetensors"
+}