Upload ucfedavg/rounds/round_3/hospital_NVIDIA_round_3_metadata.json with huggingface_hub

ucfedavg/rounds/round_3/hospital_NVIDIA_round_3_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 3,
+    "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_3.safetensors",
+    "created_at": "2026-05-25T16:15:38.906840",
+    "train_loss": 0.9158796047170957,
+    "train_accuracy": 0.7323696890056942,
+    "train_sensitivity_macro": 0.5281932755684526,
+    "train_specificity_macro": 0.9433135679432617,
+    "train_precision_macro": 0.5137394177530147,
+    "train_f1_macro": 0.5130433893213634,
+    "train_auc_macro_ovr": 0.9364495851585961,
+    "val_loss": 0.6494699238489071,
+    "val_accuracy": 0.7994791666666666,
+    "val_sensitivity_macro": 0.5829160208888648,
+    "val_specificity_macro": 0.9628419199666177,
+    "val_precision_macro": 0.5003342408497453,
+    "val_f1_macro": 0.5274335986132443,
+    "val_auc_macro_ovr": 0.9421589711633036,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.8123883605003357,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.4401041666666667,
+    "conformal_mean_nonconformity": 0.33272454142570496,
+    "conformal_f1_macro": 0.5274335986132443,
+    "conformal_auc_macro": 0.9421589711633036,
+    "delta_file": "hospital_NVIDIA_round_3_delta.safetensors"
+}