Upload ucfedavg/rounds/round_10/hospital_NVIDIA_round_10_metadata.json with huggingface_hub

ucfedavg/rounds/round_10/hospital_NVIDIA_round_10_metadata.json

@@ -0,0 +1,41 @@
+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 10,
+    "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_10.safetensors",
+    "created_at": "2026-05-25T16:35:06.998852",
+    "train_loss": 0.5779734038644366,
+    "train_accuracy": 0.8199737187910644,
+    "train_sensitivity_macro": 0.762588305729253,
+    "train_specificity_macro": 0.9614104649853611,
+    "train_precision_macro": 0.7086348974813367,
+    "train_f1_macro": 0.7324363233548433,
+    "train_auc_macro_ovr": 0.9690022520494173,
+    "val_loss": 0.5615320669021457,
+    "val_accuracy": 0.8385416666666666,
+    "val_sensitivity_macro": 0.6555183363918637,
+    "val_specificity_macro": 0.963525154862306,
+    "val_precision_macro": 0.7041539541539541,
+    "val_f1_macro": 0.6428488758485814,
+    "val_auc_macro_ovr": 0.948956000095606,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.774793803691864,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.2135416666666667,
+    "conformal_mean_nonconformity": 0.24375347793102264,
+    "conformal_f1_macro": 0.6428488758485814,
+    "conformal_auc_macro": 0.948956000095606,
+    "delta_file": "hospital_NVIDIA_round_10_delta.safetensors"
+}