Upload fedprox/rounds/round_21/hospital_NVIDIA_round_21_metadata.json with huggingface_hub

fedprox/rounds/round_21/hospital_NVIDIA_round_21_metadata.json

@@ -0,0 +1,33 @@
+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 21,
+    "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_21.safetensors",
+    "created_at": "2026-05-25T10:09:45.251748",
+    "train_loss": 0.3723407799584998,
+    "train_accuracy": 0.8720981165133597,
+    "train_sensitivity_macro": 0.8693739089273355,
+    "train_specificity_macro": 0.9746424341296603,
+    "train_precision_macro": 0.7991153034372678,
+    "train_f1_macro": 0.83032784694109,
+    "train_auc_macro_ovr": 0.9866733159315827,
+    "val_loss": 0.6134768952615559,
+    "val_accuracy": 0.8255208333333334,
+    "val_sensitivity_macro": 0.6133029302729012,
+    "val_specificity_macro": 0.9607001497863596,
+    "val_precision_macro": 0.602406496195316,
+    "val_f1_macro": 0.5895120132584998,
+    "val_auc_macro_ovr": 0.9511780964304102,
+    "delta_file": "hospital_NVIDIA_round_21_delta.safetensors"
+}