Upload ucfedavg/rounds/round_13/hospital_NVIDIA_round_13_metadata.json with huggingface_hub

ucfedavg/rounds/round_13/hospital_NVIDIA_round_13_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 13,
+    "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_13.safetensors",
+    "created_at": "2026-05-25T16:43:19.184650",
+    "train_loss": 0.5094169448647234,
+    "train_accuracy": 0.8370565045992115,
+    "train_sensitivity_macro": 0.815688910154828,
+    "train_specificity_macro": 0.966384377284186,
+    "train_precision_macro": 0.7624999291344196,
+    "train_f1_macro": 0.7859517821463026,
+    "train_auc_macro_ovr": 0.975135684378348,
+    "val_loss": 0.5765130905977761,
+    "val_accuracy": 0.8307291666666666,
+    "val_sensitivity_macro": 0.5936545529844179,
+    "val_specificity_macro": 0.9641273193041753,
+    "val_precision_macro": 0.5593943810586566,
+    "val_f1_macro": 0.5578086279717264,
+    "val_auc_macro_ovr": 0.9540615649177412,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.8144221901893616,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.2838541666666667,
+    "conformal_mean_nonconformity": 0.24074363708496094,
+    "conformal_f1_macro": 0.5578086279717264,
+    "conformal_auc_macro": 0.9540615649177412,
+    "delta_file": "hospital_NVIDIA_round_13_delta.safetensors"
+}