Upload fedprox/rounds/round_2/hospital_NVIDIA_round_2_metadata.json with huggingface_hub

fedprox/rounds/round_2/hospital_NVIDIA_round_2_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 2,
+    "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_2.safetensors",
+    "created_at": "2026-05-25T09:18:49.350072",
+    "train_loss": 1.0703122996621661,
+    "train_accuracy": 0.7122207621550591,
+    "train_sensitivity_macro": 0.43727372413995663,
+    "train_specificity_macro": 0.9348805894256706,
+    "train_precision_macro": 0.5418440539129905,
+    "train_f1_macro": 0.4470129327051406,
+    "train_auc_macro_ovr": 0.9126417905971737,
+    "val_loss": 0.7386237559840083,
+    "val_accuracy": 0.7682291666666666,
+    "val_sensitivity_macro": 0.43761704557580133,
+    "val_specificity_macro": 0.9544509530042863,
+    "val_precision_macro": 0.4889594164625324,
+    "val_f1_macro": 0.42270931140489587,
+    "val_auc_macro_ovr": 0.9194249262102397,
+    "delta_file": "hospital_NVIDIA_round_2_delta.safetensors"
+}