Upload fedprox/rounds/round_16/hospital_NVIDIA_round_16_metadata.json with huggingface_hub

fedprox/rounds/round_16/hospital_NVIDIA_round_16_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 16,
+    "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_16.safetensors",
+    "created_at": "2026-05-25T09:56:22.795994",
+    "train_loss": 0.47756019317441517,
+    "train_accuracy": 0.8480070083223828,
+    "train_sensitivity_macro": 0.8177298420912048,
+    "train_specificity_macro": 0.9694060650203908,
+    "train_precision_macro": 0.7712891127711198,
+    "train_f1_macro": 0.7910454311241736,
+    "train_auc_macro_ovr": 0.9795363542112688,
+    "val_loss": 0.6141102580974499,
+    "val_accuracy": 0.8307291666666666,
+    "val_sensitivity_macro": 0.5721762738330306,
+    "val_specificity_macro": 0.9651568805985651,
+    "val_precision_macro": 0.5663700487346475,
+    "val_f1_macro": 0.5526138399731905,
+    "val_auc_macro_ovr": 0.9443413954331135,
+    "delta_file": "hospital_NVIDIA_round_16_delta.safetensors"
+}