Upload ucfedavg/rounds/round_20/hospital_NVIDIA_round_20_metadata.json with huggingface_hub

ucfedavg/rounds/round_20/hospital_NVIDIA_round_20_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 20,
+    "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_20.safetensors",
+    "created_at": "2026-05-25T17:02:30.949057",
+    "train_loss": 0.3837428907346394,
+    "train_accuracy": 0.8690319754708716,
+    "train_sensitivity_macro": 0.8734517778387538,
+    "train_specificity_macro": 0.9735341909915659,
+    "train_precision_macro": 0.8015324814080647,
+    "train_f1_macro": 0.8316408939986747,
+    "train_auc_macro_ovr": 0.9850037141830732,
+    "val_loss": 0.5869774352371072,
+    "val_accuracy": 0.828125,
+    "val_sensitivity_macro": 0.5521914714014197,
+    "val_specificity_macro": 0.9644856851518256,
+    "val_precision_macro": 0.5138291114111014,
+    "val_f1_macro": 0.5248410574458745,
+    "val_auc_macro_ovr": 0.9544561612584948,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.8540582060813904,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.2604166666666667,
+    "conformal_mean_nonconformity": 0.21333952248096466,
+    "conformal_f1_macro": 0.5248410574458745,
+    "conformal_auc_macro": 0.9544561612584948,
+    "delta_file": "hospital_NVIDIA_round_20_delta.safetensors"
+}