Upload ucfedavg/rounds/round_5/hospital_NVIDIA_round_5_metadata.json with huggingface_hub

ucfedavg/rounds/round_5/hospital_NVIDIA_round_5_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 5,
+    "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_5.safetensors",
+    "created_at": "2026-05-25T16:21:15.818887",
+    "train_loss": 0.7745988584227033,
+    "train_accuracy": 0.7630310994305738,
+    "train_sensitivity_macro": 0.6596787560107813,
+    "train_specificity_macro": 0.9517948830764497,
+    "train_precision_macro": 0.664901499066853,
+    "train_f1_macro": 0.6325614119724676,
+    "train_auc_macro_ovr": 0.9489959992622677,
+    "val_loss": 0.6265472325806817,
+    "val_accuracy": 0.7994791666666666,
+    "val_sensitivity_macro": 0.647439378764396,
+    "val_specificity_macro": 0.9629540536921833,
+    "val_precision_macro": 0.6456032412965185,
+    "val_f1_macro": 0.598776734824318,
+    "val_auc_macro_ovr": 0.9370186381542542,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.8086474537849426,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.3802083333333333,
+    "conformal_mean_nonconformity": 0.32001444697380066,
+    "conformal_f1_macro": 0.598776734824318,
+    "conformal_auc_macro": 0.9370186381542542,
+    "delta_file": "hospital_NVIDIA_round_5_delta.safetensors"
+}