Upload fedprox/rounds/round_19/hospital_NVIDIA_round_19_metadata.json with huggingface_hub

fedprox/rounds/round_19/hospital_NVIDIA_round_19_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 19,
+    "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_19.safetensors",
+    "created_at": "2026-05-25T10:04:22.545477",
+    "train_loss": 0.42189547129803234,
+    "train_accuracy": 0.8642137538326763,
+    "train_sensitivity_macro": 0.8517716256818912,
+    "train_specificity_macro": 0.971544688361253,
+    "train_precision_macro": 0.790520077942836,
+    "train_f1_macro": 0.818307938737218,
+    "train_auc_macro_ovr": 0.9830048676151447,
+    "val_loss": 0.5828277580440044,
+    "val_accuracy": 0.8385416666666666,
+    "val_sensitivity_macro": 0.6313910212322232,
+    "val_specificity_macro": 0.9644258213183532,
+    "val_precision_macro": 0.6649422649422648,
+    "val_f1_macro": 0.629816166219177,
+    "val_auc_macro_ovr": 0.95300546164133,
+    "delta_file": "hospital_NVIDIA_round_19_delta.safetensors"
+}