Upload fedprox/rounds/round_11/hospital_NVIDIA_round_11_metadata.json with huggingface_hub

fedprox/rounds/round_11/hospital_NVIDIA_round_11_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 11,
+    "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_11.safetensors",
+    "created_at": "2026-05-25T09:43:06.883929",
+    "train_loss": 0.5391843428628312,
+    "train_accuracy": 0.8212877792378449,
+    "train_sensitivity_macro": 0.7773855188965256,
+    "train_specificity_macro": 0.9625570131731915,
+    "train_precision_macro": 0.71388425167616,
+    "train_f1_macro": 0.7417381622036364,
+    "train_auc_macro_ovr": 0.9732872920984177,
+    "val_loss": 0.5380337155462863,
+    "val_accuracy": 0.8411458333333334,
+    "val_sensitivity_macro": 0.6448728940248253,
+    "val_specificity_macro": 0.9648582010113799,
+    "val_precision_macro": 0.6563041125541125,
+    "val_f1_macro": 0.6339154925451346,
+    "val_auc_macro_ovr": 0.9555582300701394,
+    "delta_file": "hospital_NVIDIA_round_11_delta.safetensors"
+}