Upload ucfedavg/rounds/round_21/hospital_NVIDIA_round_21_metadata.json with huggingface_hub

ucfedavg/rounds/round_21/hospital_NVIDIA_round_21_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 21,
+    "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_21.safetensors",
+    "created_at": "2026-05-25T17:05:15.596065",
+    "train_loss": 0.35714101646509433,
+    "train_accuracy": 0.876916338151555,
+    "train_sensitivity_macro": 0.8853422629366765,
+    "train_specificity_macro": 0.975377607747791,
+    "train_precision_macro": 0.8068700819102387,
+    "train_f1_macro": 0.8412219949109268,
+    "train_auc_macro_ovr": 0.9869493962629333,
+    "val_loss": 0.6297707097837701,
+    "val_accuracy": 0.8359375,
+    "val_sensitivity_macro": 0.5773286562644937,
+    "val_specificity_macro": 0.9655986015931719,
+    "val_precision_macro": 0.5974692882472138,
+    "val_f1_macro": 0.5656627386934542,
+    "val_auc_macro_ovr": 0.9564449859169137,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.8061956763267517,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.2161458333333333,
+    "conformal_mean_nonconformity": 0.21341057121753693,
+    "conformal_f1_macro": 0.5656627386934542,
+    "conformal_auc_macro": 0.9564449859169137,
+    "delta_file": "hospital_NVIDIA_round_21_delta.safetensors"
+}