Upload ucfedavg/rounds/round_9/hospital_NVIDIA_round_9_metadata.json with huggingface_hub

ucfedavg/rounds/round_9/hospital_NVIDIA_round_9_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 9,
+    "status": "completed",
+    "method": "UCFedAvg",
+    "local_training_method": "FedAvg",
+    "aggregation_method": "UCFedAvg",
+    "fedprox_mu": 0.01,
+    "experiment_folder": "ucfedavg",
+    "train_samples": 2283,
+    "val_samples": 384,
+    "samples": 2283,
+    "local_epochs": 1,
+    "base_global_model": "ucfedavg/global_model_round_9.safetensors",
+    "created_at": "2026-05-25T16:32:18.445705",
+    "train_loss": 0.6060185502800677,
+    "train_accuracy": 0.8134034165571616,
+    "train_sensitivity_macro": 0.7575581292578517,
+    "train_specificity_macro": 0.9624121640419856,
+    "train_precision_macro": 0.7228057399054177,
+    "train_f1_macro": 0.7346418347926315,
+    "train_auc_macro_ovr": 0.9672452234721104,
+    "val_loss": 0.5450968543300405,
+    "val_accuracy": 0.8151041666666666,
+    "val_sensitivity_macro": 0.6214040477194139,
+    "val_specificity_macro": 0.9590623513536978,
+    "val_precision_macro": 0.616763443753629,
+    "val_f1_macro": 0.5997100366196065,
+    "val_auc_macro_ovr": 0.9492415134304617,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.7879547476768494,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.2578125,
+    "conformal_mean_nonconformity": 0.2594038248062134,
+    "conformal_f1_macro": 0.5997100366196065,
+    "conformal_auc_macro": 0.9492415134304617,
+    "delta_file": "hospital_NVIDIA_round_9_delta.safetensors"
+}