Upload ucfedavg/rounds/round_7/hospital_NVIDIA_round_7_metadata.json with huggingface_hub

ucfedavg/rounds/round_7/hospital_NVIDIA_round_7_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 7,
+    "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_7.safetensors",
+    "created_at": "2026-05-25T16:26:42.932977",
+    "train_loss": 0.6695395728780164,
+    "train_accuracy": 0.7941305300043802,
+    "train_sensitivity_macro": 0.7120762368210948,
+    "train_specificity_macro": 0.9564910309175142,
+    "train_precision_macro": 0.6783842115986131,
+    "train_f1_macro": 0.6896462090048798,
+    "train_auc_macro_ovr": 0.960304913239822,
+    "val_loss": 0.5789853328218063,
+    "val_accuracy": 0.8046875,
+    "val_sensitivity_macro": 0.6425192122197536,
+    "val_specificity_macro": 0.9593369257954258,
+    "val_precision_macro": 0.6070874543875947,
+    "val_f1_macro": 0.603011276488049,
+    "val_auc_macro_ovr": 0.9397145472652447,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.7830898761749268,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.2994791666666667,
+    "conformal_mean_nonconformity": 0.287211149930954,
+    "conformal_f1_macro": 0.603011276488049,
+    "conformal_auc_macro": 0.9397145472652447,
+    "delta_file": "hospital_NVIDIA_round_7_delta.safetensors"
+}