Upload fedprox/rounds/round_0/hospital_NVIDIA_round_0_metadata.json with huggingface_hub

fedprox/rounds/round_0/hospital_NVIDIA_round_0_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 0,
+    "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_0.safetensors",
+    "created_at": "2026-05-25T09:12:54.860037",
+    "train_loss": 1.6338589638471603,
+    "train_accuracy": 0.5164257555847569,
+    "train_sensitivity_macro": 0.22418967887861133,
+    "train_specificity_macro": 0.9010137383804425,
+    "train_precision_macro": 0.21767077808682136,
+    "train_f1_macro": 0.19929299157252137,
+    "train_auc_macro_ovr": 0.6917830522048364,
+    "val_loss": 1.1013241584102313,
+    "val_accuracy": 0.6614583333333334,
+    "val_sensitivity_macro": 0.26521568714455807,
+    "val_specificity_macro": 0.93039576943626,
+    "val_precision_macro": 0.23896697662115693,
+    "val_f1_macro": 0.22122773046578809,
+    "val_auc_macro_ovr": 0.8729523777295846,
+    "delta_file": "hospital_NVIDIA_round_0_delta.safetensors"
+}