Upload ucfedavg/rounds/round_23/hospital_NVIDIA_round_23_metadata.json with huggingface_hub

ucfedavg/rounds/round_23/hospital_NVIDIA_round_23_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 23,
+    "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_23.safetensors",
+    "created_at": "2026-05-25T17:10:39.005164",
+    "train_loss": 0.3480002112272713,
+    "train_accuracy": 0.876916338151555,
+    "train_sensitivity_macro": 0.8882772269366962,
+    "train_specificity_macro": 0.9761468495484796,
+    "train_precision_macro": 0.8161126464242408,
+    "train_f1_macro": 0.8478275624938213,
+    "train_auc_macro_ovr": 0.9875721466795013,
+    "val_loss": 0.5397768013644964,
+    "val_accuracy": 0.8411458333333334,
+    "val_sensitivity_macro": 0.6029791222281737,
+    "val_specificity_macro": 0.9647977522460158,
+    "val_precision_macro": 0.5441894312583967,
+    "val_f1_macro": 0.5616396181992415,
+    "val_auc_macro_ovr": 0.9548652779473127,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.7845972180366516,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.1848958333333333,
+    "conformal_mean_nonconformity": 0.20879167318344116,
+    "conformal_f1_macro": 0.5616396181992415,
+    "conformal_auc_macro": 0.9548652779473127,
+    "delta_file": "hospital_NVIDIA_round_23_delta.safetensors"
+}