Upload fedprox/rounds/round_1/hospital_NVIDIA_round_1_metadata.json with huggingface_hub

fedprox/rounds/round_1/hospital_NVIDIA_round_1_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 1,
+    "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_1.safetensors",
+    "created_at": "2026-05-25T09:16:13.208206",
+    "train_loss": 1.2583355117175314,
+    "train_accuracy": 0.6657906263688129,
+    "train_sensitivity_macro": 0.3203450657837071,
+    "train_specificity_macro": 0.9234100587679893,
+    "train_precision_macro": 0.36875680859216187,
+    "train_f1_macro": 0.31478210676857266,
+    "train_auc_macro_ovr": 0.8748862823375604,
+    "val_loss": 0.8291355141748985,
+    "val_accuracy": 0.7473958333333334,
+    "val_sensitivity_macro": 0.37341328828471904,
+    "val_specificity_macro": 0.9448168361457674,
+    "val_precision_macro": 0.3381414425749401,
+    "val_f1_macro": 0.3489681514610283,
+    "val_auc_macro_ovr": 0.9115253375578437,
+    "delta_file": "hospital_NVIDIA_round_1_delta.safetensors"
+}