Upload fedprox/rounds/round_22/hospital_NVIDIA_round_22_metadata.json with huggingface_hub

fedprox/rounds/round_22/hospital_NVIDIA_round_22_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 22,
+    "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_22.safetensors",
+    "created_at": "2026-05-25T10:12:28.902869",
+    "train_loss": 0.35751029507567483,
+    "train_accuracy": 0.876916338151555,
+    "train_sensitivity_macro": 0.8793578574246306,
+    "train_specificity_macro": 0.9755174443911467,
+    "train_precision_macro": 0.8139579135597117,
+    "train_f1_macro": 0.8425239897551948,
+    "train_auc_macro_ovr": 0.9872324763373895,
+    "val_loss": 0.681814792410781,
+    "val_accuracy": 0.8203125,
+    "val_sensitivity_macro": 0.6007235484658221,
+    "val_specificity_macro": 0.9615108841385523,
+    "val_precision_macro": 0.5966793007734871,
+    "val_f1_macro": 0.5913545330457637,
+    "val_auc_macro_ovr": 0.9410666050168447,
+    "delta_file": "hospital_NVIDIA_round_22_delta.safetensors"
+}