Upload ucfedavg/rounds/round_22/hospital_NVIDIA_round_22_metadata.json with huggingface_hub

ucfedavg/rounds/round_22/hospital_NVIDIA_round_22_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 22,
+    "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_22.safetensors",
+    "created_at": "2026-05-25T17:07:59.095511",
+    "train_loss": 0.3437645805792676,
+    "train_accuracy": 0.8742882172579939,
+    "train_sensitivity_macro": 0.8576692429861815,
+    "train_specificity_macro": 0.974729818826721,
+    "train_precision_macro": 0.8081827538860591,
+    "train_f1_macro": 0.8302085389582237,
+    "train_auc_macro_ovr": 0.987597593095799,
+    "val_loss": 0.5853950441038857,
+    "val_accuracy": 0.84375,
+    "val_sensitivity_macro": 0.5556921153303688,
+    "val_specificity_macro": 0.9597638285541078,
+    "val_precision_macro": 0.6457670039538679,
+    "val_f1_macro": 0.5645398019347599,
+    "val_auc_macro_ovr": 0.9579712502170008,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.7594172358512878,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.1640625,
+    "conformal_mean_nonconformity": 0.20190316438674927,
+    "conformal_f1_macro": 0.5645398019347599,
+    "conformal_auc_macro": 0.9579712502170008,
+    "delta_file": "hospital_NVIDIA_round_22_delta.safetensors"
+}