Upload ucfedavg/rounds/round_14/hospital_NVIDIA_round_14_metadata.json with huggingface_hub

ucfedavg/rounds/round_14/hospital_NVIDIA_round_14_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 14,
+    "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_14.safetensors",
+    "created_at": "2026-05-25T16:46:04.037315",
+    "train_loss": 0.5130302661822902,
+    "train_accuracy": 0.830048182216382,
+    "train_sensitivity_macro": 0.7914806191380876,
+    "train_specificity_macro": 0.9655144325864453,
+    "train_precision_macro": 0.7382495497613949,
+    "train_f1_macro": 0.7615458661324553,
+    "train_auc_macro_ovr": 0.9768849566062417,
+    "val_loss": 0.5811680974826837,
+    "val_accuracy": 0.8125,
+    "val_sensitivity_macro": 0.6477125731485326,
+    "val_specificity_macro": 0.9649082982361644,
+    "val_precision_macro": 0.680431364506426,
+    "val_f1_macro": 0.6131809547472419,
+    "val_auc_macro_ovr": 0.952295630635489,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.8114832043647766,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.3046875,
+    "conformal_mean_nonconformity": 0.25575172901153564,
+    "conformal_f1_macro": 0.6131809547472419,
+    "conformal_auc_macro": 0.952295630635489,
+    "delta_file": "hospital_NVIDIA_round_14_delta.safetensors"
+}