Upload fedprox/rounds/round_4/hospital_NVIDIA_round_4_metadata.json with huggingface_hub

fedprox/rounds/round_4/hospital_NVIDIA_round_4_metadata.json

@@ -0,0 +1,33 @@
+{
+    "client_id": "hospital_NVIDIA",
+    "client_repo": "ChisDong/Client_NVIDIA_IID",
+    "scenario": "iid",
+    "round": 4,
+    "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_4.safetensors",
+    "created_at": "2026-05-25T09:24:06.360982",
+    "train_loss": 0.8450007831884755,
+    "train_accuracy": 0.7472623740692071,
+    "train_sensitivity_macro": 0.5837681582626245,
+    "train_specificity_macro": 0.9472128848058804,
+    "train_precision_macro": 0.6543488923495612,
+    "train_f1_macro": 0.5708427645644215,
+    "train_auc_macro_ovr": 0.943034726890087,
+    "val_loss": 0.6255232601736983,
+    "val_accuracy": 0.7890625,
+    "val_sensitivity_macro": 0.5829594425128336,
+    "val_specificity_macro": 0.9603293827194349,
+    "val_precision_macro": 0.495996431359429,
+    "val_f1_macro": 0.5246452651357649,
+    "val_auc_macro_ovr": 0.9385901188667702,
+    "delta_file": "hospital_NVIDIA_round_4_delta.safetensors"
+}