Upload ucfedavg/rounds/round_12/hospital_NVIDIA_round_12_metadata.json with huggingface_hub

ucfedavg/rounds/round_12/hospital_NVIDIA_round_12_metadata.json

@@ -0,0 +1,41 @@
+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 12,
+    "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_12.safetensors",
+    "created_at": "2026-05-25T16:40:35.343289",
+    "train_loss": 0.5436375045941936,
+    "train_accuracy": 0.8221638195356986,
+    "train_sensitivity_macro": 0.7961219314744108,
+    "train_specificity_macro": 0.963801333297255,
+    "train_precision_macro": 0.7287844001586181,
+    "train_f1_macro": 0.7580966032523866,
+    "train_auc_macro_ovr": 0.9726131021321206,
+    "val_loss": 0.5450105838244781,
+    "val_accuracy": 0.8229166666666666,
+    "val_sensitivity_macro": 0.6109282639907958,
+    "val_specificity_macro": 0.9620007495704055,
+    "val_precision_macro": 0.5835931559335814,
+    "val_f1_macro": 0.5834307373874716,
+    "val_auc_macro_ovr": 0.9471485140582873,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.7511678338050842,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.2109375,
+    "conformal_mean_nonconformity": 0.23525916039943695,
+    "conformal_f1_macro": 0.5834307373874716,
+    "conformal_auc_macro": 0.9471485140582873,
+    "delta_file": "hospital_NVIDIA_round_12_delta.safetensors"
+}