Upload fedprox/rounds/round_6/hospital_NVIDIA_round_6_metadata.json with huggingface_hub

fedprox/rounds/round_6/hospital_NVIDIA_round_6_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 6,
+    "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_6.safetensors",
+    "created_at": "2026-05-25T09:29:28.164794",
+    "train_loss": 0.7048306498262618,
+    "train_accuracy": 0.7840560665790627,
+    "train_sensitivity_macro": 0.7035154454481212,
+    "train_specificity_macro": 0.9554111464786568,
+    "train_precision_macro": 0.7101490660409384,
+    "train_f1_macro": 0.6899853893654759,
+    "train_auc_macro_ovr": 0.9578546041806472,
+    "val_loss": 0.5687998495995998,
+    "val_accuracy": 0.8333333333333334,
+    "val_sensitivity_macro": 0.6267190367372294,
+    "val_specificity_macro": 0.9628294929673025,
+    "val_precision_macro": 0.5923464282797166,
+    "val_f1_macro": 0.5980740648329201,
+    "val_auc_macro_ovr": 0.9410599633601595,
+    "delta_file": "hospital_NVIDIA_round_6_delta.safetensors"
+}