Upload ucfedavg/rounds/round_1/hospital_NVIDIA_round_1_metadata.json with huggingface_hub

ucfedavg/rounds/round_1/hospital_NVIDIA_round_1_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "clientiid",
+    "round": 1,
+    "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_1.safetensors",
+    "created_at": "2026-05-25T16:05:24.338822",
+    "train_loss": 1.2215074607067637,
+    "train_accuracy": 0.6710468681559352,
+    "train_sensitivity_macro": 0.334402765180326,
+    "train_specificity_macro": 0.9235287338711495,
+    "train_precision_macro": 0.4044997039935478,
+    "train_f1_macro": 0.3314393634911356,
+    "train_auc_macro_ovr": 0.88475197826297,
+    "val_loss": 0.8485559585193793,
+    "val_accuracy": 0.7447916666666666,
+    "val_sensitivity_macro": 0.40635306692952067,
+    "val_specificity_macro": 0.9508220495626496,
+    "val_precision_macro": 0.4804431591372902,
+    "val_f1_macro": 0.3860091919892584,
+    "val_auc_macro_ovr": 0.9042059534094072,
+    "conformal_available": true,
+    "conformal_alpha": 0.1,
+    "conformal_q_hat": 0.8349410891532898,
+    "conformal_coverage": 0.8984375,
+    "conformal_avg_prediction_set_size": 1.6770833333333333,
+    "conformal_mean_nonconformity": 0.4464099705219269,
+    "conformal_f1_macro": 0.3860091919892584,
+    "conformal_auc_macro": 0.9042059534094072,
+    "delta_file": "hospital_NVIDIA_round_1_delta.safetensors"
+}