Upload ucfedavg/rounds/round_2/hospital_NVIDIA_round_2_metadata.json with huggingface_hub

ucfedavg/rounds/round_2/hospital_NVIDIA_round_2_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 2,
+    "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_2.safetensors",
+    "created_at": "2026-05-25T16:12:53.721897",
+    "train_loss": 1.0279996030860477,
+    "train_accuracy": 0.7144108628996934,
+    "train_sensitivity_macro": 0.4626568382495041,
+    "train_specificity_macro": 0.9388635675712544,
+    "train_precision_macro": 0.5338459235255698,
+    "train_f1_macro": 0.46512281874522704,
+    "train_auc_macro_ovr": 0.9215020912218422,
+    "val_loss": 0.6862309699257215,
+    "val_accuracy": 0.7890625,
+    "val_sensitivity_macro": 0.48832029628127077,
+    "val_specificity_macro": 0.957497169630149,
+    "val_precision_macro": 0.4618206674126174,
+    "val_f1_macro": 0.46922542515747784,
+    "val_auc_macro_ovr": 0.9359216053902377,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.7968993186950684,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.4036458333333333,
+    "conformal_mean_nonconformity": 0.3631376326084137,
+    "conformal_f1_macro": 0.46922542515747784,
+    "conformal_auc_macro": 0.9359216053902377,
+    "delta_file": "hospital_NVIDIA_round_2_delta.safetensors"
+}