Upload fedprox/rounds/round_20/hospital_NVIDIA_round_20_metadata.json with huggingface_hub

fedprox/rounds/round_20/hospital_NVIDIA_round_20_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 20,
+    "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_20.safetensors",
+    "created_at": "2026-05-25T10:07:04.771014",
+    "train_loss": 0.3567087333649397,
+    "train_accuracy": 0.8830486202365309,
+    "train_sensitivity_macro": 0.8655085362344558,
+    "train_specificity_macro": 0.9770929286181159,
+    "train_precision_macro": 0.8058903639651315,
+    "train_f1_macro": 0.8329317891430511,
+    "train_auc_macro_ovr": 0.9878719302757453,
+    "val_loss": 0.6368407081269348,
+    "val_accuracy": 0.8385416666666666,
+    "val_sensitivity_macro": 0.608744610594665,
+    "val_specificity_macro": 0.9653376346385293,
+    "val_precision_macro": 0.7404782324593645,
+    "val_f1_macro": 0.621891984126775,
+    "val_auc_macro_ovr": 0.9523747594204455,
+    "delta_file": "hospital_NVIDIA_round_20_delta.safetensors"
+}