Upload ucfedavg/rounds/round_16/hospital_NVIDIA_round_16_metadata.json with huggingface_hub

ucfedavg/rounds/round_16/hospital_NVIDIA_round_16_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 16,
+    "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_16.safetensors",
+    "created_at": "2026-05-25T16:51:34.494470",
+    "train_loss": 0.4410804570135143,
+    "train_accuracy": 0.8580814717477004,
+    "train_sensitivity_macro": 0.8444559574146723,
+    "train_specificity_macro": 0.9711807307928106,
+    "train_precision_macro": 0.7900580397119444,
+    "train_f1_macro": 0.8143411265255398,
+    "train_auc_macro_ovr": 0.9809883813839718,
+    "val_loss": 0.5761472675949335,
+    "val_accuracy": 0.8255208333333334,
+    "val_sensitivity_macro": 0.5979551954342848,
+    "val_specificity_macro": 0.9624182395668717,
+    "val_precision_macro": 0.6735546048523148,
+    "val_f1_macro": 0.593595326541792,
+    "val_auc_macro_ovr": 0.9441292229223874,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.7449377775192261,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.1875,
+    "conformal_mean_nonconformity": 0.23767001926898956,
+    "conformal_f1_macro": 0.593595326541792,
+    "conformal_auc_macro": 0.9441292229223874,
+    "delta_file": "hospital_NVIDIA_round_16_delta.safetensors"
+}