Upload ucfedavg/latest/metadata.json with huggingface_hub
Browse files- ucfedavg/latest/metadata.json +22 -22
ucfedavg/latest/metadata.json
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@@ -2,7 +2,7 @@
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"client_id": "hospital_NVIDIA",
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"client_repo": "ChisDong/Client_NVIDIA_IID",
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"scenario": "clientiid",
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"round":
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"status": "completed",
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"method": "UCFedAvg",
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"local_training_method": "FedAvg",
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@@ -13,29 +13,29 @@
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"val_samples": 384,
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"samples": 2283,
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"local_epochs": 1,
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"base_global_model": "ucfedavg/
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"created_at": "2026-05-25T16:
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"train_loss": 0.
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"train_accuracy": 0.7941305300043802,
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"train_sensitivity_macro": 0.
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"train_specificity_macro": 0.
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"train_precision_macro": 0.
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"train_f1_macro": 0.
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"train_auc_macro_ovr": 0.
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"val_loss": 0.
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"val_accuracy": 0.
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"val_sensitivity_macro": 0.
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"val_specificity_macro": 0.
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"val_precision_macro": 0.
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"val_f1_macro": 0.
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"val_auc_macro_ovr": 0.
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"conformal_available": true,
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"conformal_alpha": 0.1,
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"conformal_q_hat": 0.
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"conformal_coverage": 0.8984375,
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"conformal_avg_prediction_set_size": 1.
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"conformal_mean_nonconformity": 0.
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"conformal_f1_macro": 0.
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"conformal_auc_macro": 0.
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"delta_file": "
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}
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"client_id": "hospital_NVIDIA",
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"client_repo": "ChisDong/Client_NVIDIA_IID",
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"scenario": "clientiid",
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"round": 8,
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"status": "completed",
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"method": "UCFedAvg",
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"local_training_method": "FedAvg",
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"val_samples": 384,
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"samples": 2283,
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"local_epochs": 1,
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"base_global_model": "ucfedavg/global_model_round_8.safetensors",
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"created_at": "2026-05-25T16:29:28.559400",
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"train_loss": 0.6382367565400071,
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"train_accuracy": 0.7941305300043802,
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"train_sensitivity_macro": 0.7489695550709523,
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"train_specificity_macro": 0.9583228627107597,
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"train_precision_macro": 0.6979038089640156,
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"train_f1_macro": 0.7177779198666502,
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"train_auc_macro_ovr": 0.9633354744561332,
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"val_loss": 0.5626412524531285,
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"val_accuracy": 0.8229166666666666,
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"val_sensitivity_macro": 0.6364284710622873,
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"val_specificity_macro": 0.9627923615277927,
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"val_precision_macro": 0.6843802614360646,
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"val_f1_macro": 0.6268851020377857,
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"val_auc_macro_ovr": 0.9449580673933415,
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"conformal_available": true,
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"conformal_alpha": 0.1,
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"conformal_q_hat": 0.7960821390151978,
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"conformal_coverage": 0.8984375,
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"conformal_avg_prediction_set_size": 1.3125,
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"conformal_mean_nonconformity": 0.260276734828949,
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"conformal_f1_macro": 0.6268851020377857,
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"conformal_auc_macro": 0.9449580673933415,
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"delta_file": "hospital_NVIDIA_round_8_delta.safetensors"
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}
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