Upload ucfedavg/rounds/round_17/hospital_NVIDIA_round_17_metadata.json with huggingface_hub

ucfedavg/rounds/round_17/hospital_NVIDIA_round_17_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 17,
+    "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_17.safetensors",
+    "created_at": "2026-05-25T16:54:21.472306",
+    "train_loss": 0.40846519565416706,
+    "train_accuracy": 0.86508979413053,
+    "train_sensitivity_macro": 0.8721033565438853,
+    "train_specificity_macro": 0.9725807858471827,
+    "train_precision_macro": 0.7908171458312123,
+    "train_f1_macro": 0.8270184616789342,
+    "train_auc_macro_ovr": 0.9831597566197242,
+    "val_loss": 0.5260621982160956,
+    "val_accuracy": 0.8515625,
+    "val_sensitivity_macro": 0.6681809429782162,
+    "val_specificity_macro": 0.9681955545358543,
+    "val_precision_macro": 0.7305238822480201,
+    "val_f1_macro": 0.6624757226210327,
+    "val_auc_macro_ovr": 0.951911977421401,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.7945290207862854,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.2057291666666667,
+    "conformal_mean_nonconformity": 0.21254529058933258,
+    "conformal_f1_macro": 0.6624757226210327,
+    "conformal_auc_macro": 0.951911977421401,
+    "delta_file": "hospital_NVIDIA_round_17_delta.safetensors"
+}