Upload ucfedavg/rounds/round_0/hospital_NVIDIA_round_0_metadata.json with huggingface_hub

ucfedavg/rounds/round_0/hospital_NVIDIA_round_0_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 0,
+    "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_0.safetensors",
+    "created_at": "2026-05-25T16:01:57.293412",
+    "train_loss": 1.584558568067021,
+    "train_accuracy": 0.5904511607533947,
+    "train_sensitivity_macro": 0.24395726121451222,
+    "train_specificity_macro": 0.9009549399299264,
+    "train_precision_macro": 0.26096035583883737,
+    "train_f1_macro": 0.24038454146098598,
+    "train_auc_macro_ovr": 0.7272030617276345,
+    "val_loss": 1.0323907074828942,
+    "val_accuracy": 0.6979166666666666,
+    "val_sensitivity_macro": 0.3018293472071233,
+    "val_specificity_macro": 0.9334817762958952,
+    "val_precision_macro": 0.30899933470502255,
+    "val_f1_macro": 0.2799568807279588,
+    "val_auc_macro_ovr": 0.8742665289739094,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.8405172824859619,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.8151041666666667,
+    "conformal_mean_nonconformity": 0.5358330607414246,
+    "conformal_f1_macro": 0.2799568807279588,
+    "conformal_auc_macro": 0.8742665289739094,
+    "delta_file": "hospital_NVIDIA_round_0_delta.safetensors"
+}