Upload fedprox/rounds/round_8/hospital_NVIDIA_round_8_metadata.json with huggingface_hub

fedprox/rounds/round_8/hospital_NVIDIA_round_8_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 8,
+    "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_8.safetensors",
+    "created_at": "2026-05-25T09:34:46.918985",
+    "train_loss": 0.6428183760080073,
+    "train_accuracy": 0.7923784494086727,
+    "train_sensitivity_macro": 0.7347816037135215,
+    "train_specificity_macro": 0.9576526659192606,
+    "train_precision_macro": 0.662542458151467,
+    "train_f1_macro": 0.6937052616596022,
+    "train_auc_macro_ovr": 0.9638900554892501,
+    "val_loss": 0.5951896891929209,
+    "val_accuracy": 0.8046875,
+    "val_sensitivity_macro": 0.5977093640686589,
+    "val_specificity_macro": 0.9612553838187109,
+    "val_precision_macro": 0.5528501400560224,
+    "val_f1_macro": 0.5548914471072182,
+    "val_auc_macro_ovr": 0.935986397029473,
+    "delta_file": "hospital_NVIDIA_round_8_delta.safetensors"
+}