Upload cw_risk_ucfedavg/rounds/round_16/hospital_NVIDIA_round_16_metadata.json with huggingface_hub
Browse files
cw_risk_ucfedavg/rounds/round_16/hospital_NVIDIA_round_16_metadata.json
ADDED
|
@@ -0,0 +1,144 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"client_id": "hospital_NVIDIA",
|
| 3 |
+
"client_repo": "ChisDong/Client_NVIDIA_IID",
|
| 4 |
+
"scenario": "clientiid",
|
| 5 |
+
"round": 16,
|
| 6 |
+
"status": "completed",
|
| 7 |
+
"method": "CW-Risk-UCFedAvg",
|
| 8 |
+
"local_training_method": "FedAvg",
|
| 9 |
+
"aggregation_method": "CW-Risk-UCFedAvg",
|
| 10 |
+
"fedprox_mu": 0.01,
|
| 11 |
+
"experiment_folder": "cw_risk_ucfedavg",
|
| 12 |
+
"train_samples": 2283,
|
| 13 |
+
"val_samples": 384,
|
| 14 |
+
"samples": 2283,
|
| 15 |
+
"class_counts": {
|
| 16 |
+
"nv": 1515,
|
| 17 |
+
"mel": 266,
|
| 18 |
+
"bkl": 240,
|
| 19 |
+
"bcc": 128,
|
| 20 |
+
"akiec": 73,
|
| 21 |
+
"vasc": 36,
|
| 22 |
+
"df": 25
|
| 23 |
+
},
|
| 24 |
+
"rare_class_ratio": 0.23127463863337713,
|
| 25 |
+
"rare_classes": [
|
| 26 |
+
"mel",
|
| 27 |
+
"bcc",
|
| 28 |
+
"akiec",
|
| 29 |
+
"vasc",
|
| 30 |
+
"df"
|
| 31 |
+
],
|
| 32 |
+
"per_class_conformal": {
|
| 33 |
+
"nv": {
|
| 34 |
+
"count": 274,
|
| 35 |
+
"coverage": 0.9562043795620438,
|
| 36 |
+
"coverage_quality": 0.9437956204379562,
|
| 37 |
+
"avg_prediction_set_size": 1.1277372262773722,
|
| 38 |
+
"conformal_efficiency": 0.8867313915857606,
|
| 39 |
+
"mean_nonconformity": 0.1247842013835907,
|
| 40 |
+
"precision": 0.9581749049429658,
|
| 41 |
+
"recall": 0.9197080291970803,
|
| 42 |
+
"f1": 0.9385474860335196,
|
| 43 |
+
"support": 274
|
| 44 |
+
},
|
| 45 |
+
"mel": {
|
| 46 |
+
"count": 30,
|
| 47 |
+
"coverage": 0.7333333333333333,
|
| 48 |
+
"coverage_quality": 0.8333333333333333,
|
| 49 |
+
"avg_prediction_set_size": 1.6,
|
| 50 |
+
"conformal_efficiency": 0.625,
|
| 51 |
+
"mean_nonconformity": 0.5379210710525513,
|
| 52 |
+
"precision": 0.4375,
|
| 53 |
+
"recall": 0.4666666666666667,
|
| 54 |
+
"f1": 0.45161290322580644,
|
| 55 |
+
"support": 30
|
| 56 |
+
},
|
| 57 |
+
"bkl": {
|
| 58 |
+
"count": 47,
|
| 59 |
+
"coverage": 0.8085106382978723,
|
| 60 |
+
"coverage_quality": 0.9085106382978723,
|
| 61 |
+
"avg_prediction_set_size": 1.148936170212766,
|
| 62 |
+
"conformal_efficiency": 0.8703703703703702,
|
| 63 |
+
"mean_nonconformity": 0.292011022567749,
|
| 64 |
+
"precision": 0.6792452830188679,
|
| 65 |
+
"recall": 0.7659574468085106,
|
| 66 |
+
"f1": 0.72,
|
| 67 |
+
"support": 47
|
| 68 |
+
},
|
| 69 |
+
"bcc": {
|
| 70 |
+
"count": 16,
|
| 71 |
+
"coverage": 0.875,
|
| 72 |
+
"coverage_quality": 0.975,
|
| 73 |
+
"avg_prediction_set_size": 1.1875,
|
| 74 |
+
"conformal_efficiency": 0.8421052631578947,
|
| 75 |
+
"mean_nonconformity": 0.24676266312599182,
|
| 76 |
+
"precision": 0.5714285714285714,
|
| 77 |
+
"recall": 0.75,
|
| 78 |
+
"f1": 0.6486486486486486,
|
| 79 |
+
"support": 16
|
| 80 |
+
},
|
| 81 |
+
"akiec": {
|
| 82 |
+
"count": 7,
|
| 83 |
+
"coverage": 0.5714285714285714,
|
| 84 |
+
"coverage_quality": 0.6714285714285714,
|
| 85 |
+
"avg_prediction_set_size": 1.5714285714285714,
|
| 86 |
+
"conformal_efficiency": 0.6363636363636364,
|
| 87 |
+
"mean_nonconformity": 0.6116074919700623,
|
| 88 |
+
"precision": 0.375,
|
| 89 |
+
"recall": 0.42857142857142855,
|
| 90 |
+
"f1": 0.39999999999999997,
|
| 91 |
+
"support": 7
|
| 92 |
+
},
|
| 93 |
+
"vasc": {
|
| 94 |
+
"count": 7,
|
| 95 |
+
"coverage": 0.5714285714285714,
|
| 96 |
+
"coverage_quality": 0.6714285714285714,
|
| 97 |
+
"avg_prediction_set_size": 1.1428571428571428,
|
| 98 |
+
"conformal_efficiency": 0.875,
|
| 99 |
+
"mean_nonconformity": 0.45811358094215393,
|
| 100 |
+
"precision": 0.6666666666666666,
|
| 101 |
+
"recall": 0.5714285714285714,
|
| 102 |
+
"f1": 0.6153846153846153,
|
| 103 |
+
"support": 7
|
| 104 |
+
},
|
| 105 |
+
"df": {
|
| 106 |
+
"count": 3,
|
| 107 |
+
"coverage": 0.3333333333333333,
|
| 108 |
+
"coverage_quality": 0.43333333333333335,
|
| 109 |
+
"avg_prediction_set_size": 1.6666666666666667,
|
| 110 |
+
"conformal_efficiency": 0.6,
|
| 111 |
+
"mean_nonconformity": 0.841433584690094,
|
| 112 |
+
"precision": 1.0,
|
| 113 |
+
"recall": 0.3333333333333333,
|
| 114 |
+
"f1": 0.5,
|
| 115 |
+
"support": 3
|
| 116 |
+
}
|
| 117 |
+
},
|
| 118 |
+
"local_epochs": 1,
|
| 119 |
+
"base_global_model": "cw_risk_ucfedavg/global_model_round_16.safetensors",
|
| 120 |
+
"created_at": "2026-05-31T10:10:29.389741",
|
| 121 |
+
"train_loss": 0.4201104191856252,
|
| 122 |
+
"train_accuracy": 0.8567674113009198,
|
| 123 |
+
"train_sensitivity_macro": 0.8274995752406743,
|
| 124 |
+
"train_specificity_macro": 0.9701324914199121,
|
| 125 |
+
"train_precision_macro": 0.7788612937910484,
|
| 126 |
+
"train_f1_macro": 0.80008791359248,
|
| 127 |
+
"train_auc_macro_ovr": 0.9831692980126746,
|
| 128 |
+
"val_loss": 0.5401128631686637,
|
| 129 |
+
"val_accuracy": 0.8385416666666666,
|
| 130 |
+
"val_sensitivity_macro": 0.6050950680007986,
|
| 131 |
+
"val_specificity_macro": 0.9650976110741271,
|
| 132 |
+
"val_precision_macro": 0.6697164894367246,
|
| 133 |
+
"val_f1_macro": 0.6105990933275128,
|
| 134 |
+
"val_auc_macro_ovr": 0.9594935371444977,
|
| 135 |
+
"conformal_available": true,
|
| 136 |
+
"conformal_alpha": 0.1,
|
| 137 |
+
"conformal_q_hat": 0.8002693057060242,
|
| 138 |
+
"conformal_coverage": 0.8984375,
|
| 139 |
+
"conformal_avg_prediction_set_size": 1.1822916666666667,
|
| 140 |
+
"conformal_mean_nonconformity": 0.2031603455543518,
|
| 141 |
+
"conformal_f1_macro": 0.6105990933275128,
|
| 142 |
+
"conformal_auc_macro": 0.9594935371444977,
|
| 143 |
+
"delta_file": "hospital_NVIDIA_round_16_delta.safetensors"
|
| 144 |
+
}
|