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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@@ -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": 1.
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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": 2,
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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_2.safetensors",
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"created_at": "2026-05-25T16:12:53.721897",
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"train_loss": 1.0279996030860477,
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"train_accuracy": 0.7144108628996934,
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"train_sensitivity_macro": 0.4626568382495041,
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"train_specificity_macro": 0.9388635675712544,
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"train_precision_macro": 0.5338459235255698,
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"train_f1_macro": 0.46512281874522704,
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"train_auc_macro_ovr": 0.9215020912218422,
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"val_loss": 0.6862309699257215,
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"val_accuracy": 0.7890625,
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"val_sensitivity_macro": 0.48832029628127077,
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"val_specificity_macro": 0.957497169630149,
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"val_precision_macro": 0.4618206674126174,
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"val_f1_macro": 0.46922542515747784,
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"val_auc_macro_ovr": 0.9359216053902377,
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"conformal_available": true,
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"conformal_alpha": 0.1,
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"conformal_q_hat": 0.7968993186950684,
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"conformal_coverage": 0.8984375,
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| 36 |
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"conformal_avg_prediction_set_size": 1.4036458333333333,
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"conformal_mean_nonconformity": 0.3631376326084137,
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"conformal_f1_macro": 0.46922542515747784,
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"conformal_auc_macro": 0.9359216053902377,
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"delta_file": "hospital_NVIDIA_round_2_delta.safetensors"
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}
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