lr: 0.001
sub_8:Test (Best Model) - Loss: 0.0008 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0635 - Accuracy: 0.9688 - F1: 0.9680
sub_12:Test (Best Model) - Loss: 1.4532 - Accuracy: 0.8125 - F1: 0.7922
sub_3:Test (Best Model) - Loss: 0.1555 - Accuracy: 0.9688 - F1: 0.9685
sub_1:Test (Best Model) - Loss: 0.2945 - Accuracy: 0.9375 - F1: 0.9352
sub_6:Test (Best Model) - Loss: 0.7750 - Accuracy: 0.8438 - F1: 0.8303
sub_4:Test (Best Model) - Loss: 0.0182 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 4.1055 - Accuracy: 0.5938 - F1: 0.4340
sub_14:Test (Best Model) - Loss: 0.8032 - Accuracy: 0.8750 - F1: 0.8667
sub_5:Test (Best Model) - Loss: 0.1246 - Accuracy: 0.9688 - F1: 0.9680
sub_11:Test (Best Model) - Loss: 0.9205 - Accuracy: 0.8182 - F1: 0.8036
sub_10:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 2.9107 - Accuracy: 0.5312 - F1: 0.4684
sub_12:Test (Best Model) - Loss: 1.1477 - Accuracy: 0.8125 - F1: 0.7922
sub_2:Test (Best Model) - Loss: 1.4687 - Accuracy: 0.7879 - F1: 0.7664
sub_15:Test (Best Model) - Loss: 3.6140 - Accuracy: 0.6250 - F1: 0.5000
sub_9:Test (Best Model) - Loss: 6.2590 - Accuracy: 0.5625 - F1: 0.3600
sub_11:Test (Best Model) - Loss: 1.3104 - Accuracy: 0.6061 - F1: 0.4850
sub_8:Test (Best Model) - Loss: 0.7665 - Accuracy: 0.8750 - F1: 0.8667
sub_14:Test (Best Model) - Loss: 2.5373 - Accuracy: 0.6562 - F1: 0.6559
sub_6:Test (Best Model) - Loss: 1.2490 - Accuracy: 0.8125 - F1: 0.7922
sub_5:Test (Best Model) - Loss: 3.8348 - Accuracy: 0.5625 - F1: 0.3600
sub_7:Test (Best Model) - Loss: 0.0931 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0813 - Accuracy: 0.9697 - F1: 0.9692
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0006 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 1.3090 - Accuracy: 0.5625 - F1: 0.3600
sub_2:Test (Best Model) - Loss: 3.5252 - Accuracy: 0.5455 - F1: 0.3529
sub_12:Test (Best Model) - Loss: 1.2018 - Accuracy: 0.8125 - F1: 0.7922
sub_11:Test (Best Model) - Loss: 0.6614 - Accuracy: 0.6061 - F1: 0.4850
sub_13:Test (Best Model) - Loss: 1.3112 - Accuracy: 0.5625 - F1: 0.3600
sub_1:Test (Best Model) - Loss: 1.0391 - Accuracy: 0.8125 - F1: 0.7922
sub_14:Test (Best Model) - Loss: 1.8573 - Accuracy: 0.7812 - F1: 0.7519
sub_15:Test (Best Model) - Loss: 1.5075 - Accuracy: 0.8125 - F1: 0.7922
sub_8:Test (Best Model) - Loss: 0.0007 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.5934 - Accuracy: 0.8125 - F1: 0.7922
sub_5:Test (Best Model) - Loss: 6.3388 - Accuracy: 0.5625 - F1: 0.3600
sub_4:Test (Best Model) - Loss: 0.0662 - Accuracy: 0.9697 - F1: 0.9692
sub_13:Test (Best Model) - Loss: 0.6729 - Accuracy: 0.5000 - F1: 0.4182
sub_6:Test (Best Model) - Loss: 1.5213 - Accuracy: 0.7812 - F1: 0.7519
sub_10:Test (Best Model) - Loss: 0.0023 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0128 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.3496 - Accuracy: 0.9091 - F1: 0.9091
sub_2:Test (Best Model) - Loss: 2.3418 - Accuracy: 0.6061 - F1: 0.4850
sub_7:Test (Best Model) - Loss: 3.2486 - Accuracy: 0.5625 - F1: 0.3600
sub_14:Test (Best Model) - Loss: 0.2724 - Accuracy: 0.9062 - F1: 0.9015
sub_9:Test (Best Model) - Loss: 0.2081 - Accuracy: 0.9062 - F1: 0.9015
sub_3:Test (Best Model) - Loss: 0.0772 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 0.6451 - Accuracy: 0.8125 - F1: 0.7922
sub_12:Test (Best Model) - Loss: 2.2916 - Accuracy: 0.8125 - F1: 0.7922
sub_8:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0106 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.4220 - Accuracy: 0.8182 - F1: 0.8036
sub_7:Test (Best Model) - Loss: 0.4868 - Accuracy: 0.8125 - F1: 0.8118
sub_9:Test (Best Model) - Loss: 1.2262 - Accuracy: 0.6875 - F1: 0.6135
sub_6:Test (Best Model) - Loss: 0.3223 - Accuracy: 0.8750 - F1: 0.8667
sub_4:Test (Best Model) - Loss: 0.0724 - Accuracy: 0.9394 - F1: 0.9380
sub_10:Test (Best Model) - Loss: 0.9462 - Accuracy: 0.8438 - F1: 0.8303
sub_5:Test (Best Model) - Loss: 0.2662 - Accuracy: 0.8438 - F1: 0.8303
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.6284 - Accuracy: 0.8438 - F1: 0.8303
sub_14:Test (Best Model) - Loss: 0.4651 - Accuracy: 0.9375 - F1: 0.9352
sub_13:Test (Best Model) - Loss: 2.5502 - Accuracy: 0.6250 - F1: 0.5000
sub_9:Test (Best Model) - Loss: 1.0719 - Accuracy: 0.8438 - F1: 0.8303
sub_15:Test (Best Model) - Loss: 0.3479 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 2.7648 - Accuracy: 0.8125 - F1: 0.7922
sub_11:Test (Best Model) - Loss: 0.5086 - Accuracy: 0.8485 - F1: 0.8462
sub_7:Test (Best Model) - Loss: 0.1704 - Accuracy: 0.9375 - F1: 0.9352
sub_13:Test (Best Model) - Loss: 0.6556 - Accuracy: 0.5455 - F1: 0.3529
sub_2:Test (Best Model) - Loss: 1.2462 - Accuracy: 0.7879 - F1: 0.7847
sub_4:Test (Best Model) - Loss: 0.0899 - Accuracy: 0.9697 - F1: 0.9692
sub_8:Test (Best Model) - Loss: 0.0011 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.9226 - Accuracy: 0.8750 - F1: 0.8667
sub_1:Test (Best Model) - Loss: 0.0551 - Accuracy: 0.9688 - F1: 0.9680
sub_12:Test (Best Model) - Loss: 0.5581 - Accuracy: 0.8182 - F1: 0.8036
sub_9:Test (Best Model) - Loss: 2.6931 - Accuracy: 0.6250 - F1: 0.5000
sub_5:Test (Best Model) - Loss: 0.2960 - Accuracy: 0.9062 - F1: 0.9015
sub_10:Test (Best Model) - Loss: 0.5237 - Accuracy: 0.9375 - F1: 0.9352
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.7631 - Accuracy: 0.5938 - F1: 0.4340
sub_14:Test (Best Model) - Loss: 2.5812 - Accuracy: 0.5625 - F1: 0.3600
sub_13:Test (Best Model) - Loss: 0.6856 - Accuracy: 0.5455 - F1: 0.3529
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.1326 - Accuracy: 0.9394 - F1: 0.9380
sub_6:Test (Best Model) - Loss: 0.4848 - Accuracy: 0.8182 - F1: 0.8036
sub_1:Test (Best Model) - Loss: 0.0232 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.0035 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.7194 - Accuracy: 0.8438 - F1: 0.8303
sub_11:Test (Best Model) - Loss: 3.9779 - Accuracy: 0.6364 - F1: 0.5417
sub_10:Test (Best Model) - Loss: 0.1830 - Accuracy: 0.9062 - F1: 0.9015
sub_8:Test (Best Model) - Loss: 0.0006 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.0247 - Accuracy: 0.9697 - F1: 0.9692
sub_3:Test (Best Model) - Loss: 0.2067 - Accuracy: 0.8788 - F1: 0.8731
sub_5:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.4773 - Accuracy: 0.8788 - F1: 0.8731
sub_4:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 3.8133 - Accuracy: 0.5625 - F1: 0.3600
sub_1:Test (Best Model) - Loss: 0.3420 - Accuracy: 0.9091 - F1: 0.9060
sub_15:Test (Best Model) - Loss: 0.0008 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.2657 - Accuracy: 0.9375 - F1: 0.9352
sub_7:Test (Best Model) - Loss: 1.0815 - Accuracy: 0.8438 - F1: 0.8303
sub_8:Test (Best Model) - Loss: 0.0277 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 2.4340 - Accuracy: 0.6061 - F1: 0.4850
sub_9:Test (Best Model) - Loss: 0.3626 - Accuracy: 0.8750 - F1: 0.8667
sub_13:Test (Best Model) - Loss: 5.4405 - Accuracy: 0.5455 - F1: 0.3529
sub_10:Test (Best Model) - Loss: 0.2277 - Accuracy: 0.9062 - F1: 0.9054
sub_12:Test (Best Model) - Loss: 0.0006 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0006 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.6258 - Accuracy: 0.8788 - F1: 0.8731
sub_6:Test (Best Model) - Loss: 2.7329 - Accuracy: 0.5455 - F1: 0.3529
sub_13:Test (Best Model) - Loss: 0.7089 - Accuracy: 0.4545 - F1: 0.3125
sub_2:Test (Best Model) - Loss: 4.7728 - Accuracy: 0.5625 - F1: 0.3600
sub_9:Test (Best Model) - Loss: 2.0875 - Accuracy: 0.5938 - F1: 0.4340
sub_5:Test (Best Model) - Loss: 0.0442 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0007 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 2.8406 - Accuracy: 0.6562 - F1: 0.5594
sub_3:Test (Best Model) - Loss: 1.6733 - Accuracy: 0.5758 - F1: 0.4225
sub_10:Test (Best Model) - Loss: 0.1535 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 0.0230 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.5850 - Accuracy: 0.6970 - F1: 0.6413
sub_2:Test (Best Model) - Loss: 0.5032 - Accuracy: 0.7188 - F1: 0.6632
sub_7:Test (Best Model) - Loss: 0.5329 - Accuracy: 0.8125 - F1: 0.7922
sub_13:Test (Best Model) - Loss: 0.6808 - Accuracy: 0.5455 - F1: 0.3529
sub_12:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 1.5528 - Accuracy: 0.5455 - F1: 0.3529
sub_2:Test (Best Model) - Loss: 0.3633 - Accuracy: 0.8750 - F1: 0.8667
sub_5:Test (Best Model) - Loss: 4.0786 - Accuracy: 0.5625 - F1: 0.3600
sub_3:Test (Best Model) - Loss: 0.9270 - Accuracy: 0.6061 - F1: 0.4850
sub_6:Test (Best Model) - Loss: 0.5148 - Accuracy: 0.8485 - F1: 0.8390
sub_9:Test (Best Model) - Loss: 3.1206 - Accuracy: 0.5625 - F1: 0.3600
sub_10:Test (Best Model) - Loss: 0.6999 - Accuracy: 0.8125 - F1: 0.8118
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 3.4119 - Accuracy: 0.6875 - F1: 0.6135
sub_5:Test (Best Model) - Loss: 0.3999 - Accuracy: 0.8125 - F1: 0.7922
sub_3:Test (Best Model) - Loss: 0.4791 - Accuracy: 0.7879 - F1: 0.7664
sub_8:Test (Best Model) - Loss: 0.0037 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.1472 - Accuracy: 0.9688 - F1: 0.9680
sub_12:Test (Best Model) - Loss: 1.4513 - Accuracy: 0.8182 - F1: 0.8036
sub_4:Test (Best Model) - Loss: 0.0081 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.0500 - Accuracy: 0.9688 - F1: 0.9685
sub_11:Test (Best Model) - Loss: 0.9201 - Accuracy: 0.8485 - F1: 0.8390
sub_9:Test (Best Model) - Loss: 1.0866 - Accuracy: 0.5625 - F1: 0.3600
sub_2:Test (Best Model) - Loss: 2.3215 - Accuracy: 0.7576 - F1: 0.7273
sub_5:Test (Best Model) - Loss: 0.4784 - Accuracy: 0.8125 - F1: 0.7922
sub_6:Test (Best Model) - Loss: 1.1578 - Accuracy: 0.6970 - F1: 0.6413
sub_1:Test (Best Model) - Loss: 1.0446 - Accuracy: 0.9091 - F1: 0.9060
sub_14:Test (Best Model) - Loss: 0.6479 - Accuracy: 0.6250 - F1: 0.5000
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.5512 - Accuracy: 0.8438 - F1: 0.8359
sub_8:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.5138 - Accuracy: 0.8125 - F1: 0.7922
sub_12:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.8553 - Accuracy: 0.7500 - F1: 0.7091
sub_5:Test (Best Model) - Loss: 1.6870 - Accuracy: 0.5625 - F1: 0.3600
sub_3:Test (Best Model) - Loss: 6.3736 - Accuracy: 0.5758 - F1: 0.4225
sub_13:Test (Best Model) - Loss: 0.7723 - Accuracy: 0.5312 - F1: 0.3992
sub_15:Test (Best Model) - Loss: 1.2370 - Accuracy: 0.8125 - F1: 0.7922
sub_6:Test (Best Model) - Loss: 4.1334 - Accuracy: 0.5455 - F1: 0.3529
sub_5:Test (Best Model) - Loss: 1.6321 - Accuracy: 0.5625 - F1: 0.3600
sub_8:Test (Best Model) - Loss: 0.0004 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0506 - Accuracy: 0.9697 - F1: 0.9696
sub_14:Test (Best Model) - Loss: 1.3139 - Accuracy: 0.8125 - F1: 0.7922
sub_10:Test (Best Model) - Loss: 0.4356 - Accuracy: 0.9394 - F1: 0.9380
sub_11:Test (Best Model) - Loss: 0.4743 - Accuracy: 0.9394 - F1: 0.9380
sub_2:Test (Best Model) - Loss: 0.4872 - Accuracy: 0.8182 - F1: 0.8036
sub_12:Test (Best Model) - Loss: 0.0100 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.3160 - Accuracy: 0.8125 - F1: 0.8057
sub_5:Test (Best Model) - Loss: 0.8291 - Accuracy: 0.5625 - F1: 0.3600
sub_9:Test (Best Model) - Loss: 1.6519 - Accuracy: 0.7812 - F1: 0.7519
sub_13:Test (Best Model) - Loss: 3.1312 - Accuracy: 0.5625 - F1: 0.3600
sub_4:Test (Best Model) - Loss: 1.4625 - Accuracy: 0.6667 - F1: 0.6459
sub_8:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.5308 - Accuracy: 0.8485 - F1: 0.8433
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.3159 - Accuracy: 0.9375 - F1: 0.9352
sub_10:Test (Best Model) - Loss: 0.2350 - Accuracy: 0.9091 - F1: 0.9077
sub_7:Test (Best Model) - Loss: 1.5821 - Accuracy: 0.5625 - F1: 0.3600
sub_5:Test (Best Model) - Loss: 0.8323 - Accuracy: 0.5938 - F1: 0.4340
sub_3:Test (Best Model) - Loss: 0.8496 - Accuracy: 0.8788 - F1: 0.8759
sub_2:Test (Best Model) - Loss: 2.4606 - Accuracy: 0.6667 - F1: 0.5935
sub_12:Test (Best Model) - Loss: 0.0086 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0127 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.7508 - Accuracy: 0.7879 - F1: 0.7664
sub_11:Test (Best Model) - Loss: 1.6698 - Accuracy: 0.7576 - F1: 0.7381
sub_8:Test (Best Model) - Loss: 0.2834 - Accuracy: 0.9062 - F1: 0.9015
sub_1:Test (Best Model) - Loss: 0.0118 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.9085 - Accuracy: 0.8125 - F1: 0.7922
sub_2:Test (Best Model) - Loss: 0.7294 - Accuracy: 0.8182 - F1: 0.8036
sub_3:Test (Best Model) - Loss: 0.0325 - Accuracy: 0.9697 - F1: 0.9692
sub_10:Test (Best Model) - Loss: 0.0191 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 1.1777 - Accuracy: 0.5625 - F1: 0.3600
sub_4:Test (Best Model) - Loss: 0.8827 - Accuracy: 0.8485 - F1: 0.8433
sub_13:Test (Best Model) - Loss: 0.4993 - Accuracy: 0.9062 - F1: 0.9062
sub_7:Test (Best Model) - Loss: 7.4518 - Accuracy: 0.5625 - F1: 0.3600
sub_6:Test (Best Model) - Loss: 1.1673 - Accuracy: 0.8182 - F1: 0.8036
sub_12:Test (Best Model) - Loss: 0.0014 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.7340 - Accuracy: 0.6061 - F1: 0.4850
sub_7:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.5625 - F1: 0.3600
sub_8:Test (Best Model) - Loss: 0.0786 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 0.5138 - Accuracy: 0.7188 - F1: 0.6632
sub_11:Test (Best Model) - Loss: 2.5830 - Accuracy: 0.4848 - F1: 0.3265
sub_15:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0089 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.7887 - Accuracy: 0.7879 - F1: 0.7664
sub_12:Test (Best Model) - Loss: 0.6302 - Accuracy: 0.8438 - F1: 0.8303
sub_14:Test (Best Model) - Loss: 0.0222 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.5663 - Accuracy: 0.7812 - F1: 0.7519
sub_10:Test (Best Model) - Loss: 1.6682 - Accuracy: 0.7879 - F1: 0.7664
sub_4:Test (Best Model) - Loss: 0.0265 - Accuracy: 0.9697 - F1: 0.9696
sub_14:Test (Best Model) - Loss: 0.7673 - Accuracy: 0.7500 - F1: 0.7091
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 1.6175 - Accuracy: 0.8182 - F1: 0.8036
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 3.3599 - Accuracy: 0.6250 - F1: 0.5000
sub_4:Test (Best Model) - Loss: 0.6326 - Accuracy: 0.8485 - F1: 0.8462
sub_11:Test (Best Model) - Loss: 0.6592 - Accuracy: 0.6667 - F1: 0.6459
sub_10:Test (Best Model) - Loss: 0.0176 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0004 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 1.9837 - Accuracy: 0.6970 - F1: 0.6967
sub_4:Test (Best Model) - Loss: 0.1605 - Accuracy: 0.9394 - F1: 0.9380
sub_11:Test (Best Model) - Loss: 0.4301 - Accuracy: 0.9091 - F1: 0.9077
sub_22:Test (Best Model) - Loss: 0.2156 - Accuracy: 0.9062 - F1: 0.9062
sub_23:Test (Best Model) - Loss: 0.6247 - Accuracy: 0.7879 - F1: 0.7664
sub_29:Test (Best Model) - Loss: 0.0086 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 1.0308 - Accuracy: 0.7273 - F1: 0.6857
sub_17:Test (Best Model) - Loss: 0.4656 - Accuracy: 0.9091 - F1: 0.9060
sub_18:Test (Best Model) - Loss: 0.0455 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.4656 - Accuracy: 0.9091 - F1: 0.9060
sub_25:Test (Best Model) - Loss: 0.2386 - Accuracy: 0.9394 - F1: 0.9380
sub_19:Test (Best Model) - Loss: 1.7905 - Accuracy: 0.6875 - F1: 0.6537
sub_24:Test (Best Model) - Loss: 0.4721 - Accuracy: 0.8438 - F1: 0.8303
sub_21:Test (Best Model) - Loss: 0.8404 - Accuracy: 0.9062 - F1: 0.9015
sub_28:Test (Best Model) - Loss: 0.6344 - Accuracy: 0.9062 - F1: 0.9015
sub_16:Test (Best Model) - Loss: 0.9471 - Accuracy: 0.8125 - F1: 0.8057
sub_20:Test (Best Model) - Loss: 0.0843 - Accuracy: 0.9688 - F1: 0.9685
sub_29:Test (Best Model) - Loss: 1.6760 - Accuracy: 0.8125 - F1: 0.7922
sub_23:Test (Best Model) - Loss: 0.5194 - Accuracy: 0.7879 - F1: 0.7664
sub_22:Test (Best Model) - Loss: 0.4460 - Accuracy: 0.8438 - F1: 0.8303
sub_26:Test (Best Model) - Loss: 0.5865 - Accuracy: 0.8788 - F1: 0.8731
sub_21:Test (Best Model) - Loss: 0.8927 - Accuracy: 0.5625 - F1: 0.3600
sub_16:Test (Best Model) - Loss: 1.0738 - Accuracy: 0.6562 - F1: 0.5594
sub_18:Test (Best Model) - Loss: 1.7536 - Accuracy: 0.7576 - F1: 0.7273
sub_17:Test (Best Model) - Loss: 1.7561 - Accuracy: 0.7879 - F1: 0.7664
sub_20:Test (Best Model) - Loss: 0.7136 - Accuracy: 0.8438 - F1: 0.8303
sub_27:Test (Best Model) - Loss: 1.7561 - Accuracy: 0.7879 - F1: 0.7664
sub_25:Test (Best Model) - Loss: 2.4485 - Accuracy: 0.6364 - F1: 0.5417
sub_24:Test (Best Model) - Loss: 4.2924 - Accuracy: 0.5625 - F1: 0.3600
sub_19:Test (Best Model) - Loss: 1.0417 - Accuracy: 0.7812 - F1: 0.7625
sub_23:Test (Best Model) - Loss: 0.4065 - Accuracy: 0.7879 - F1: 0.7664
sub_29:Test (Best Model) - Loss: 0.4929 - Accuracy: 0.8438 - F1: 0.8303
sub_28:Test (Best Model) - Loss: 1.3890 - Accuracy: 0.6875 - F1: 0.6135
sub_16:Test (Best Model) - Loss: 0.8423 - Accuracy: 0.5938 - F1: 0.4340
sub_22:Test (Best Model) - Loss: 0.1009 - Accuracy: 0.9375 - F1: 0.9352
sub_26:Test (Best Model) - Loss: 0.1809 - Accuracy: 0.9394 - F1: 0.9380
sub_18:Test (Best Model) - Loss: 0.0955 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.4130 - Accuracy: 0.8182 - F1: 0.8036
sub_20:Test (Best Model) - Loss: 0.0867 - Accuracy: 0.9375 - F1: 0.9352
sub_21:Test (Best Model) - Loss: 0.9204 - Accuracy: 0.5625 - F1: 0.3600
sub_27:Test (Best Model) - Loss: 2.1320 - Accuracy: 0.7576 - F1: 0.7273
sub_17:Test (Best Model) - Loss: 2.1320 - Accuracy: 0.7576 - F1: 0.7273
sub_25:Test (Best Model) - Loss: 0.2796 - Accuracy: 0.9394 - F1: 0.9380
sub_16:Test (Best Model) - Loss: 0.5857 - Accuracy: 0.6562 - F1: 0.5594
sub_19:Test (Best Model) - Loss: 0.9252 - Accuracy: 0.8438 - F1: 0.8359
sub_24:Test (Best Model) - Loss: 0.2867 - Accuracy: 0.8438 - F1: 0.8303
sub_23:Test (Best Model) - Loss: 0.6459 - Accuracy: 0.7879 - F1: 0.7664
sub_28:Test (Best Model) - Loss: 0.6458 - Accuracy: 0.8438 - F1: 0.8303
sub_16:Test (Best Model) - Loss: 0.5990 - Accuracy: 0.7188 - F1: 0.6632
sub_29:Test (Best Model) - Loss: 0.0538 - Accuracy: 0.9688 - F1: 0.9680
sub_22:Test (Best Model) - Loss: 2.4458 - Accuracy: 0.6250 - F1: 0.6000
sub_23:Test (Best Model) - Loss: 0.6915 - Accuracy: 0.7812 - F1: 0.7625
sub_20:Test (Best Model) - Loss: 0.2170 - Accuracy: 0.9062 - F1: 0.9039
sub_27:Test (Best Model) - Loss: 0.5455 - Accuracy: 0.9091 - F1: 0.9060
sub_26:Test (Best Model) - Loss: 0.0144 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.3338 - Accuracy: 0.9394 - F1: 0.9380
sub_17:Test (Best Model) - Loss: 0.5455 - Accuracy: 0.9091 - F1: 0.9060
sub_24:Test (Best Model) - Loss: 0.5257 - Accuracy: 0.8750 - F1: 0.8667
sub_21:Test (Best Model) - Loss: 1.9576 - Accuracy: 0.8125 - F1: 0.8000
sub_23:Test (Best Model) - Loss: 0.6004 - Accuracy: 0.7812 - F1: 0.7625
sub_29:Test (Best Model) - Loss: 0.5106 - Accuracy: 0.8125 - F1: 0.7922
sub_25:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.0410 - Accuracy: 0.9688 - F1: 0.9680
sub_26:Test (Best Model) - Loss: 0.0654 - Accuracy: 0.9697 - F1: 0.9692
sub_22:Test (Best Model) - Loss: 0.1610 - Accuracy: 0.9375 - F1: 0.9352
sub_27:Test (Best Model) - Loss: 0.0813 - Accuracy: 0.9697 - F1: 0.9692
sub_23:Test (Best Model) - Loss: 0.1338 - Accuracy: 0.9062 - F1: 0.9039
sub_24:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.7025 - Accuracy: 0.8750 - F1: 0.8667
sub_17:Test (Best Model) - Loss: 0.0813 - Accuracy: 0.9697 - F1: 0.9692
sub_28:Test (Best Model) - Loss: 0.3942 - Accuracy: 0.8750 - F1: 0.8667
sub_29:Test (Best Model) - Loss: 0.0713 - Accuracy: 0.9688 - F1: 0.9680
sub_16:Test (Best Model) - Loss: 1.4903 - Accuracy: 0.5938 - F1: 0.4340
sub_18:Test (Best Model) - Loss: 0.0757 - Accuracy: 0.9688 - F1: 0.9680
sub_19:Test (Best Model) - Loss: 1.1023 - Accuracy: 0.7188 - F1: 0.6811
sub_25:Test (Best Model) - Loss: 0.0030 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.8750 - F1: 0.8667
sub_26:Test (Best Model) - Loss: 0.2937 - Accuracy: 0.9062 - F1: 0.9039
sub_22:Test (Best Model) - Loss: 0.2953 - Accuracy: 0.9091 - F1: 0.9060
sub_17:Test (Best Model) - Loss: 0.3301 - Accuracy: 0.9394 - F1: 0.9380
sub_27:Test (Best Model) - Loss: 0.3301 - Accuracy: 0.9394 - F1: 0.9380
sub_29:Test (Best Model) - Loss: 0.1065 - Accuracy: 0.9375 - F1: 0.9352
sub_19:Test (Best Model) - Loss: 0.0930 - Accuracy: 0.9375 - F1: 0.9373
sub_18:Test (Best Model) - Loss: 0.7811 - Accuracy: 0.8438 - F1: 0.8303
sub_20:Test (Best Model) - Loss: 0.0226 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.5412 - Accuracy: 0.8750 - F1: 0.8704
sub_21:Test (Best Model) - Loss: 0.2573 - Accuracy: 0.8750 - F1: 0.8667
sub_16:Test (Best Model) - Loss: 1.1535 - Accuracy: 0.6562 - F1: 0.5594
sub_25:Test (Best Model) - Loss: 0.0004 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.4096 - Accuracy: 0.9091 - F1: 0.9060
sub_28:Test (Best Model) - Loss: 0.2535 - Accuracy: 0.9375 - F1: 0.9352
sub_23:Test (Best Model) - Loss: 0.2010 - Accuracy: 0.9062 - F1: 0.9062
sub_24:Test (Best Model) - Loss: 0.2042 - Accuracy: 0.9688 - F1: 0.9685
sub_17:Test (Best Model) - Loss: 1.6395 - Accuracy: 0.7879 - F1: 0.7664
sub_16:Test (Best Model) - Loss: 1.8241 - Accuracy: 0.5625 - F1: 0.3600
sub_27:Test (Best Model) - Loss: 1.6395 - Accuracy: 0.7879 - F1: 0.7664
sub_29:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.0996 - Accuracy: 0.9688 - F1: 0.9680
sub_18:Test (Best Model) - Loss: 3.7289 - Accuracy: 0.7188 - F1: 0.6632
sub_26:Test (Best Model) - Loss: 1.5944 - Accuracy: 0.8125 - F1: 0.7922
sub_20:Test (Best Model) - Loss: 0.1262 - Accuracy: 0.9375 - F1: 0.9352
sub_21:Test (Best Model) - Loss: 3.0031 - Accuracy: 0.5625 - F1: 0.3600
sub_22:Test (Best Model) - Loss: 2.4763 - Accuracy: 0.7576 - F1: 0.7273
sub_16:Test (Best Model) - Loss: 0.8812 - Accuracy: 0.5625 - F1: 0.3600
sub_23:Test (Best Model) - Loss: 0.8137 - Accuracy: 0.8125 - F1: 0.8000
sub_25:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.6204 - Accuracy: 0.8125 - F1: 0.7922
sub_21:Test (Best Model) - Loss: 1.4983 - Accuracy: 0.5625 - F1: 0.3600
sub_17:Test (Best Model) - Loss: 5.0918 - Accuracy: 0.5455 - F1: 0.3529
sub_27:Test (Best Model) - Loss: 5.0918 - Accuracy: 0.5455 - F1: 0.3529
sub_19:Test (Best Model) - Loss: 1.0573 - Accuracy: 0.8438 - F1: 0.8303
sub_16:Test (Best Model) - Loss: 0.6373 - Accuracy: 0.6875 - F1: 0.6135
sub_20:Test (Best Model) - Loss: 0.0841 - Accuracy: 0.9688 - F1: 0.9680
sub_26:Test (Best Model) - Loss: 0.7758 - Accuracy: 0.7500 - F1: 0.7460
sub_24:Test (Best Model) - Loss: 0.5241 - Accuracy: 0.8438 - F1: 0.8436
sub_29:Test (Best Model) - Loss: 0.3384 - Accuracy: 0.9375 - F1: 0.9352
sub_23:Test (Best Model) - Loss: 1.7517 - Accuracy: 0.6061 - F1: 0.5662
sub_22:Test (Best Model) - Loss: 0.4367 - Accuracy: 0.8788 - F1: 0.8731
sub_18:Test (Best Model) - Loss: 0.6034 - Accuracy: 0.8125 - F1: 0.7922
sub_16:Test (Best Model) - Loss: 1.7755 - Accuracy: 0.5625 - F1: 0.3600
sub_17:Test (Best Model) - Loss: 1.3426 - Accuracy: 0.7879 - F1: 0.7664
sub_27:Test (Best Model) - Loss: 1.3426 - Accuracy: 0.7879 - F1: 0.7664
sub_21:Test (Best Model) - Loss: 3.4563 - Accuracy: 0.5625 - F1: 0.3600
sub_25:Test (Best Model) - Loss: 0.1379 - Accuracy: 0.9375 - F1: 0.9352
sub_22:Test (Best Model) - Loss: 0.8093 - Accuracy: 0.8182 - F1: 0.8036
sub_23:Test (Best Model) - Loss: 0.8643 - Accuracy: 0.6667 - F1: 0.6459
sub_19:Test (Best Model) - Loss: 0.1451 - Accuracy: 0.9375 - F1: 0.9352
sub_24:Test (Best Model) - Loss: 0.2546 - Accuracy: 0.9688 - F1: 0.9685
sub_20:Test (Best Model) - Loss: 0.1067 - Accuracy: 0.9375 - F1: 0.9352
sub_28:Test (Best Model) - Loss: 0.8440 - Accuracy: 0.6875 - F1: 0.6135
sub_29:Test (Best Model) - Loss: 0.0042 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.8389 - Accuracy: 0.9062 - F1: 0.9015
sub_26:Test (Best Model) - Loss: 0.1349 - Accuracy: 0.9688 - F1: 0.9680
sub_19:Test (Best Model) - Loss: 0.5274 - Accuracy: 0.8125 - F1: 0.7922
sub_17:Test (Best Model) - Loss: 1.3998 - Accuracy: 0.7879 - F1: 0.7664
sub_27:Test (Best Model) - Loss: 1.3998 - Accuracy: 0.7879 - F1: 0.7664
sub_23:Test (Best Model) - Loss: 2.1596 - Accuracy: 0.6364 - F1: 0.6071
sub_25:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.8755 - Accuracy: 0.7812 - F1: 0.7519
sub_20:Test (Best Model) - Loss: 0.2781 - Accuracy: 0.9062 - F1: 0.9015
sub_21:Test (Best Model) - Loss: 0.3495 - Accuracy: 0.9062 - F1: 0.9039
sub_19:Test (Best Model) - Loss: 0.4274 - Accuracy: 0.8750 - F1: 0.8745
sub_16:Test (Best Model) - Loss: 0.4086 - Accuracy: 0.8750 - F1: 0.8667
sub_24:Test (Best Model) - Loss: 0.4737 - Accuracy: 0.9688 - F1: 0.9685
sub_18:Test (Best Model) - Loss: 0.9588 - Accuracy: 0.8750 - F1: 0.8667
sub_29:Test (Best Model) - Loss: 2.1187 - Accuracy: 0.5758 - F1: 0.4225
sub_17:Test (Best Model) - Loss: 2.0749 - Accuracy: 0.7500 - F1: 0.7091
sub_26:Test (Best Model) - Loss: 1.1350 - Accuracy: 0.8438 - F1: 0.8303
sub_27:Test (Best Model) - Loss: 2.0749 - Accuracy: 0.7500 - F1: 0.7091
sub_28:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.4997 - Accuracy: 0.8788 - F1: 0.8731
sub_25:Test (Best Model) - Loss: 0.0821 - Accuracy: 0.9688 - F1: 0.9680
sub_22:Test (Best Model) - Loss: 0.2014 - Accuracy: 0.9375 - F1: 0.9352
sub_21:Test (Best Model) - Loss: 0.3692 - Accuracy: 0.8750 - F1: 0.8667
sub_23:Test (Best Model) - Loss: 3.2107 - Accuracy: 0.5152 - F1: 0.4261
sub_19:Test (Best Model) - Loss: 0.4694 - Accuracy: 0.8125 - F1: 0.7922
sub_24:Test (Best Model) - Loss: 0.3194 - Accuracy: 0.9688 - F1: 0.9685
sub_18:Test (Best Model) - Loss: 0.0054 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 1.0534 - Accuracy: 0.4375 - F1: 0.3043
sub_29:Test (Best Model) - Loss: 0.6035 - Accuracy: 0.8485 - F1: 0.8390
sub_27:Test (Best Model) - Loss: 0.5682 - Accuracy: 0.8438 - F1: 0.8303
sub_26:Test (Best Model) - Loss: 1.2265 - Accuracy: 0.8125 - F1: 0.7922
sub_17:Test (Best Model) - Loss: 0.5682 - Accuracy: 0.8438 - F1: 0.8303
sub_16:Test (Best Model) - Loss: 0.5167 - Accuracy: 0.9375 - F1: 0.9352
sub_20:Test (Best Model) - Loss: 0.6029 - Accuracy: 0.8182 - F1: 0.8036
sub_25:Test (Best Model) - Loss: 0.0136 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.0034 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 2.1134 - Accuracy: 0.5625 - F1: 0.3600
sub_19:Test (Best Model) - Loss: 0.3821 - Accuracy: 0.9062 - F1: 0.9015
sub_23:Test (Best Model) - Loss: 0.2897 - Accuracy: 0.8788 - F1: 0.8731
sub_21:Test (Best Model) - Loss: 0.7453 - Accuracy: 0.4062 - F1: 0.2889
sub_26:Test (Best Model) - Loss: 0.6358 - Accuracy: 0.6562 - F1: 0.5594
sub_16:Test (Best Model) - Loss: 0.9616 - Accuracy: 0.5938 - F1: 0.4340
sub_22:Test (Best Model) - Loss: 0.7445 - Accuracy: 0.5625 - F1: 0.3600
sub_27:Test (Best Model) - Loss: 0.3623 - Accuracy: 0.8750 - F1: 0.8667
sub_24:Test (Best Model) - Loss: 0.5278 - Accuracy: 0.6562 - F1: 0.6390
sub_17:Test (Best Model) - Loss: 0.3623 - Accuracy: 0.8750 - F1: 0.8667
sub_18:Test (Best Model) - Loss: 6.5514 - Accuracy: 0.5938 - F1: 0.4340
sub_29:Test (Best Model) - Loss: 0.0025 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.2243 - Accuracy: 0.8750 - F1: 0.8750
sub_20:Test (Best Model) - Loss: 0.0167 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.6288 - Accuracy: 0.6875 - F1: 0.6135
sub_16:Test (Best Model) - Loss: 1.3997 - Accuracy: 0.5938 - F1: 0.4340
sub_24:Test (Best Model) - Loss: 0.6528 - Accuracy: 0.5625 - F1: 0.3600
sub_21:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.1798 - Accuracy: 0.9375 - F1: 0.9352
sub_28:Test (Best Model) - Loss: 2.3009 - Accuracy: 0.6875 - F1: 0.6135
sub_18:Test (Best Model) - Loss: 0.2859 - Accuracy: 0.9062 - F1: 0.9015
sub_27:Test (Best Model) - Loss: 0.1817 - Accuracy: 0.9688 - F1: 0.9680
sub_25:Test (Best Model) - Loss: 0.6596 - Accuracy: 0.8125 - F1: 0.8118
sub_20:Test (Best Model) - Loss: 3.0624 - Accuracy: 0.5455 - F1: 0.5299
sub_19:Test (Best Model) - Loss: 0.2254 - Accuracy: 0.8750 - F1: 0.8667
sub_17:Test (Best Model) - Loss: 0.1817 - Accuracy: 0.9688 - F1: 0.9680
sub_26:Test (Best Model) - Loss: 0.7440 - Accuracy: 0.8438 - F1: 0.8303
sub_29:Test (Best Model) - Loss: 0.0050 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.3300 - Accuracy: 0.9062 - F1: 0.9015
sub_27:Test (Best Model) - Loss: 0.5555 - Accuracy: 0.8438 - F1: 0.8303
sub_24:Test (Best Model) - Loss: 0.0183 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.5555 - Accuracy: 0.8438 - F1: 0.8303
sub_19:Test (Best Model) - Loss: 0.4704 - Accuracy: 0.8438 - F1: 0.8303
sub_29:Test (Best Model) - Loss: 0.2943 - Accuracy: 0.8485 - F1: 0.8390
sub_28:Test (Best Model) - Loss: 5.8375 - Accuracy: 0.5625 - F1: 0.3600
sub_21:Test (Best Model) - Loss: 0.5022 - Accuracy: 0.8125 - F1: 0.7922
sub_20:Test (Best Model) - Loss: 1.6411 - Accuracy: 0.8485 - F1: 0.8390
sub_26:Test (Best Model) - Loss: 0.6314 - Accuracy: 0.8438 - F1: 0.8303
sub_25:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.5521 - Accuracy: 0.7812 - F1: 0.7519
sub_28:Test (Best Model) - Loss: 0.4891 - Accuracy: 0.6562 - F1: 0.5594
sub_24:Test (Best Model) - Loss: 0.8926 - Accuracy: 0.8438 - F1: 0.8303
sub_18:Test (Best Model) - Loss: 0.0080 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.0053 - Accuracy: 1.0000 - F1: 1.0000

=== Summary Results ===

acc: 82.59 ± 9.20
F1: 78.63 ± 12.55
acc-in: 89.01 ± 8.71
F1-in: 85.42 ± 12.10
runing time: 1058.01 seconds
