Upload fedprox/rounds/round_10/hospital_NVIDIA_round_10_metadata.json with huggingface_hub

fedprox/rounds/round_10/hospital_NVIDIA_round_10_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 10,
+    "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_10.safetensors",
+    "created_at": "2026-05-25T09:40:08.142164",
+    "train_loss": 0.5819421609242758,
+    "train_accuracy": 0.806395094174332,
+    "train_sensitivity_macro": 0.7642568022587503,
+    "train_specificity_macro": 0.9601707770774287,
+    "train_precision_macro": 0.7055466468997652,
+    "train_f1_macro": 0.730591262716213,
+    "train_auc_macro_ovr": 0.9705294122843745,
+    "val_loss": 0.5314758397677602,
+    "val_accuracy": 0.8385416666666666,
+    "val_sensitivity_macro": 0.6327242024313995,
+    "val_specificity_macro": 0.9646145880038761,
+    "val_precision_macro": 0.5942675623268616,
+    "val_f1_macro": 0.6021382684347871,
+    "val_auc_macro_ovr": 0.9492551509584491,
+    "delta_file": "hospital_NVIDIA_round_10_delta.safetensors"
+}