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

fedprox/rounds/round_23/hospital_NVIDIA_round_23_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 23,
+    "status": "completed",
+    "method": "FedProx",
+    "local_training_method": "FedProx",
+    "aggregation_method": "FedAvg",
+    "fedprox_mu": 0.01,
+    "experiment_folder": "fedprox",
+    "train_samples": 2283,
+    "val_samples": 384,
+    "samples": 2283,
+    "local_epochs": 1,
+    "base_global_model": "fedprox/global_model_round_23.safetensors",
+    "created_at": "2026-05-25T11:45:59.628120",
+    "train_loss": 0.36112218474348384,
+    "train_accuracy": 0.876916338151555,
+    "train_sensitivity_macro": 0.8764824540997903,
+    "train_specificity_macro": 0.9753233718390888,
+    "train_precision_macro": 0.8321651082787589,
+    "train_f1_macro": 0.851093623748011,
+    "train_auc_macro_ovr": 0.9873012030792784,
+    "val_loss": 0.6297553253049651,
+    "val_accuracy": 0.8151041666666666,
+    "val_sensitivity_macro": 0.5982202020426123,
+    "val_specificity_macro": 0.9619066103627627,
+    "val_precision_macro": 0.6099190438003589,
+    "val_f1_macro": 0.5792311821060163,
+    "val_auc_macro_ovr": 0.952393832609195,
+    "delta_file": "hospital_NVIDIA_round_23_delta.safetensors"
+}