Upload fedprox/rounds/round_14/hospital_NVIDIA_round_14_metadata.json with huggingface_hub

fedprox/rounds/round_14/hospital_NVIDIA_round_14_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 14,
+    "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_14.safetensors",
+    "created_at": "2026-05-25T09:50:59.809843",
+    "train_loss": 0.45110538022385704,
+    "train_accuracy": 0.8554533508541393,
+    "train_sensitivity_macro": 0.839201599424763,
+    "train_specificity_macro": 0.9699983360718173,
+    "train_precision_macro": 0.7861016052729378,
+    "train_f1_macro": 0.8092742495038884,
+    "train_auc_macro_ovr": 0.9805661876544586,
+    "val_loss": 0.572827659198083,
+    "val_accuracy": 0.8229166666666666,
+    "val_sensitivity_macro": 0.5932671523338329,
+    "val_specificity_macro": 0.96027698338928,
+    "val_precision_macro": 0.6213909457221515,
+    "val_f1_macro": 0.5874331781187128,
+    "val_auc_macro_ovr": 0.9522113629355415,
+    "delta_file": "hospital_NVIDIA_round_14_delta.safetensors"
+}