Upload ucfedavg/rounds/round_11/hospital_NVIDIA_round_11_metadata.json with huggingface_hub

ucfedavg/rounds/round_11/hospital_NVIDIA_round_11_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 11,
+    "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_11.safetensors",
+    "created_at": "2026-05-25T16:37:49.502989",
+    "train_loss": 0.5551481499440141,
+    "train_accuracy": 0.8252299605781866,
+    "train_sensitivity_macro": 0.7862539804639461,
+    "train_specificity_macro": 0.9651295001232577,
+    "train_precision_macro": 0.7159503407527991,
+    "train_f1_macro": 0.7457858090532666,
+    "train_auc_macro_ovr": 0.9724225115794578,
+    "val_loss": 0.5770221974235028,
+    "val_accuracy": 0.8229166666666666,
+    "val_sensitivity_macro": 0.5991730346432718,
+    "val_specificity_macro": 0.9619169510041824,
+    "val_precision_macro": 0.7165479995878717,
+    "val_f1_macro": 0.6144871732202761,
+    "val_auc_macro_ovr": 0.9519708506140218,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.803065299987793,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.2890625,
+    "conformal_mean_nonconformity": 0.25332796573638916,
+    "conformal_f1_macro": 0.6144871732202761,
+    "conformal_auc_macro": 0.9519708506140218,
+    "delta_file": "hospital_NVIDIA_round_11_delta.safetensors"
+}