Upload ucfedavg/latest/metadata.json with huggingface_hub
Browse files- ucfedavg/latest/metadata.json +23 -23
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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"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.
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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": 18,
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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_18.safetensors",
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"created_at": "2026-05-25T16:57:04.236058",
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"train_loss": 0.3971514237216777,
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"train_accuracy": 0.8681559351730179,
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"train_sensitivity_macro": 0.8670431141474653,
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"train_specificity_macro": 0.9736547584977036,
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"train_precision_macro": 0.7940401121333552,
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"train_f1_macro": 0.8267178642785536,
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"train_auc_macro_ovr": 0.9843732475657087,
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"val_loss": 0.541456845550177,
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"val_accuracy": 0.8463541666666666,
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"val_sensitivity_macro": 0.6353994261161523,
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"val_specificity_macro": 0.9645101814648159,
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"val_precision_macro": 0.724580561282689,
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"val_f1_macro": 0.6490394458687077,
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"val_auc_macro_ovr": 0.9545850901505626,
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"conformal_available": true,
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"conformal_alpha": 0.1,
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"conformal_q_hat": 0.7749050855636597,
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"conformal_coverage": 0.8984375,
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| 36 |
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"conformal_avg_prediction_set_size": 1.1744791666666667,
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| 37 |
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"conformal_mean_nonconformity": 0.20498883724212646,
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"conformal_f1_macro": 0.6490394458687077,
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"conformal_auc_macro": 0.9545850901505626,
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"delta_file": "hospital_NVIDIA_round_18_delta.safetensors"
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}
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