Upload ucfedavg/rounds/round_19/hospital_NVIDIA_round_19_metadata.json with huggingface_hub

ucfedavg/rounds/round_19/hospital_NVIDIA_round_19_metadata.json

@@ -0,0 +1,41 @@
+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 19,
+    "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_19.safetensors",
+    "created_at": "2026-05-25T16:59:45.791587",
+    "train_loss": 0.4177912819302744,
+    "train_accuracy": 0.871222076215506,
+    "train_sensitivity_macro": 0.8573507738558386,
+    "train_specificity_macro": 0.9736736249799472,
+    "train_precision_macro": 0.8014226197115327,
+    "train_f1_macro": 0.826880577412511,
+    "train_auc_macro_ovr": 0.9832762601784716,
+    "val_loss": 0.5168040466572469,
+    "val_accuracy": 0.8333333333333334,
+    "val_sensitivity_macro": 0.6269034861964665,
+    "val_specificity_macro": 0.9662194336468707,
+    "val_precision_macro": 0.5844472637539865,
+    "val_f1_macro": 0.5977775250981897,
+    "val_auc_macro_ovr": 0.960588114017532,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.7486943602561951,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.1796875,
+    "conformal_mean_nonconformity": 0.21464943885803223,
+    "conformal_f1_macro": 0.5977775250981897,
+    "conformal_auc_macro": 0.960588114017532,
+    "delta_file": "hospital_NVIDIA_round_19_delta.safetensors"
+}