Upload fedprox/rounds/round_9/hospital_NVIDIA_round_9_metadata.json with huggingface_hub

fedprox/rounds/round_9/hospital_NVIDIA_round_9_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 9,
+    "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_9.safetensors",
+    "created_at": "2026-05-25T09:37:24.974931",
+    "train_loss": 0.6052874330845144,
+    "train_accuracy": 0.8230398598335523,
+    "train_sensitivity_macro": 0.7620959924369642,
+    "train_specificity_macro": 0.9637627011237532,
+    "train_precision_macro": 0.7105064279555554,
+    "train_f1_macro": 0.7322543853173981,
+    "train_auc_macro_ovr": 0.9680509407812444,
+    "val_loss": 0.5806160930078477,
+    "val_accuracy": 0.8229166666666666,
+    "val_sensitivity_macro": 0.6212626104953551,
+    "val_specificity_macro": 0.9621011706666095,
+    "val_precision_macro": 0.6088207712117654,
+    "val_f1_macro": 0.5989882595657807,
+    "val_auc_macro_ovr": 0.9444261472986936,
+    "delta_file": "hospital_NVIDIA_round_9_delta.safetensors"
+}