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

fedprox/rounds/round_17/hospital_NVIDIA_round_17_metadata.json

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+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 17,
+    "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_17.safetensors",
+    "created_at": "2026-05-25T09:59:04.346901",
+    "train_loss": 0.45733325618008774,
+    "train_accuracy": 0.8567674113009198,
+    "train_sensitivity_macro": 0.8320150168828516,
+    "train_specificity_macro": 0.9697157643457835,
+    "train_precision_macro": 0.7932448322651255,
+    "train_f1_macro": 0.8101790214498459,
+    "train_auc_macro_ovr": 0.9807383619583626,
+    "val_loss": 0.5169645173785588,
+    "val_accuracy": 0.8515625,
+    "val_sensitivity_macro": 0.5976294011936192,
+    "val_specificity_macro": 0.9637241158703646,
+    "val_precision_macro": 0.6108569280074266,
+    "val_f1_macro": 0.5994420450743636,
+    "val_auc_macro_ovr": 0.9550372783789706,
+    "delta_file": "hospital_NVIDIA_round_17_delta.safetensors"
+}