lr: 0.001
sub_7:Test (Best Model) - Loss: 0.6707 - Accuracy: 0.5625 - F1: 0.3600
sub_9:Test (Best Model) - Loss: 0.6650 - Accuracy: 0.5625 - F1: 0.3600
sub_10:Test (Best Model) - Loss: 0.6552 - Accuracy: 0.5625 - F1: 0.3600
sub_3:Test (Best Model) - Loss: 0.6814 - Accuracy: 0.5625 - F1: 0.3600
sub_2:Test (Best Model) - Loss: 0.6429 - Accuracy: 0.6061 - F1: 0.4850
sub_5:Test (Best Model) - Loss: 0.6914 - Accuracy: 0.5625 - F1: 0.3600
sub_8:Test (Best Model) - Loss: 0.6651 - Accuracy: 0.5625 - F1: 0.3600
sub_1:Test (Best Model) - Loss: 0.1356 - Accuracy: 0.9688 - F1: 0.9680
sub_7:Test (Best Model) - Loss: 0.6714 - Accuracy: 0.5625 - F1: 0.3600
sub_6:Test (Best Model) - Loss: 0.9259 - Accuracy: 0.5625 - F1: 0.3600
sub_4:Test (Best Model) - Loss: 0.2924 - Accuracy: 0.8182 - F1: 0.8139
sub_5:Test (Best Model) - Loss: 0.6069 - Accuracy: 0.5625 - F1: 0.3600
sub_8:Test (Best Model) - Loss: 0.6393 - Accuracy: 0.5625 - F1: 0.3600
sub_3:Test (Best Model) - Loss: 0.3407 - Accuracy: 0.8750 - F1: 0.8667
sub_9:Test (Best Model) - Loss: 0.1160 - Accuracy: 0.9375 - F1: 0.9352
sub_10:Test (Best Model) - Loss: 0.0493 - Accuracy: 0.9688 - F1: 0.9685
sub_7:Test (Best Model) - Loss: 0.2401 - Accuracy: 0.8438 - F1: 0.8303
sub_1:Test (Best Model) - Loss: 1.3170 - Accuracy: 0.7812 - F1: 0.7625
sub_2:Test (Best Model) - Loss: 0.6280 - Accuracy: 0.7879 - F1: 0.7664
sub_8:Test (Best Model) - Loss: 0.5704 - Accuracy: 0.8125 - F1: 0.7922
sub_3:Test (Best Model) - Loss: 0.6747 - Accuracy: 0.5625 - F1: 0.3600
sub_4:Test (Best Model) - Loss: 0.7281 - Accuracy: 0.6061 - F1: 0.5815
sub_7:Test (Best Model) - Loss: 0.6330 - Accuracy: 0.6250 - F1: 0.5000
sub_10:Test (Best Model) - Loss: 0.6709 - Accuracy: 0.5625 - F1: 0.3600
sub_8:Test (Best Model) - Loss: 0.6145 - Accuracy: 0.5625 - F1: 0.3600
sub_1:Test (Best Model) - Loss: 0.1059 - Accuracy: 0.9688 - F1: 0.9685
sub_5:Test (Best Model) - Loss: 0.4554 - Accuracy: 0.9062 - F1: 0.9015
sub_3:Test (Best Model) - Loss: 0.6668 - Accuracy: 0.5625 - F1: 0.3600
sub_9:Test (Best Model) - Loss: 0.2921 - Accuracy: 0.9062 - F1: 0.9015
sub_4:Test (Best Model) - Loss: 0.6603 - Accuracy: 0.5455 - F1: 0.3529
sub_7:Test (Best Model) - Loss: 0.5241 - Accuracy: 0.7812 - F1: 0.7519
sub_2:Test (Best Model) - Loss: 0.5315 - Accuracy: 0.7273 - F1: 0.6857
sub_6:Test (Best Model) - Loss: 0.6119 - Accuracy: 0.6875 - F1: 0.6667
sub_4:Test (Best Model) - Loss: 0.6874 - Accuracy: 0.5455 - F1: 0.3529
sub_5:Test (Best Model) - Loss: 0.6867 - Accuracy: 0.5625 - F1: 0.3600
sub_10:Test (Best Model) - Loss: 0.1026 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 0.6328 - Accuracy: 0.7812 - F1: 0.7519
sub_1:Test (Best Model) - Loss: 0.2297 - Accuracy: 0.9375 - F1: 0.9352
sub_3:Test (Best Model) - Loss: 0.5331 - Accuracy: 0.8438 - F1: 0.8303
sub_9:Test (Best Model) - Loss: 0.4179 - Accuracy: 0.8438 - F1: 0.8303
sub_2:Test (Best Model) - Loss: 0.6105 - Accuracy: 0.8182 - F1: 0.8036
sub_7:Test (Best Model) - Loss: 0.1944 - Accuracy: 0.9375 - F1: 0.9352
sub_6:Test (Best Model) - Loss: 0.6155 - Accuracy: 0.8125 - F1: 0.7922
sub_10:Test (Best Model) - Loss: 0.2433 - Accuracy: 0.8125 - F1: 0.8118
sub_4:Test (Best Model) - Loss: 0.5900 - Accuracy: 0.6667 - F1: 0.5935
sub_5:Test (Best Model) - Loss: 0.0088 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.4526 - Accuracy: 0.8125 - F1: 0.8118
sub_2:Test (Best Model) - Loss: 0.1257 - Accuracy: 0.9697 - F1: 0.9692
sub_1:Test (Best Model) - Loss: 0.3175 - Accuracy: 0.8750 - F1: 0.8667
sub_10:Test (Best Model) - Loss: 0.3319 - Accuracy: 0.8125 - F1: 0.7922
sub_3:Test (Best Model) - Loss: 0.0133 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.2173 - Accuracy: 0.9062 - F1: 0.9015
sub_4:Test (Best Model) - Loss: 0.3535 - Accuracy: 0.9091 - F1: 0.9091
sub_7:Test (Best Model) - Loss: 0.2548 - Accuracy: 0.9062 - F1: 0.9015
sub_6:Test (Best Model) - Loss: 0.6210 - Accuracy: 0.6250 - F1: 0.5362
sub_8:Test (Best Model) - Loss: 0.4848 - Accuracy: 0.7812 - F1: 0.7758
sub_5:Test (Best Model) - Loss: 0.4884 - Accuracy: 0.8125 - F1: 0.7922
sub_10:Test (Best Model) - Loss: 0.3053 - Accuracy: 0.9062 - F1: 0.9015
sub_7:Test (Best Model) - Loss: 0.6702 - Accuracy: 0.5625 - F1: 0.3600
sub_8:Test (Best Model) - Loss: 0.6419 - Accuracy: 0.7500 - F1: 0.7333
sub_3:Test (Best Model) - Loss: 0.1112 - Accuracy: 0.9697 - F1: 0.9696
sub_4:Test (Best Model) - Loss: 0.0538 - Accuracy: 0.9697 - F1: 0.9696
sub_2:Test (Best Model) - Loss: 0.4967 - Accuracy: 0.8438 - F1: 0.8303
sub_1:Test (Best Model) - Loss: 0.7498 - Accuracy: 0.8788 - F1: 0.8731
sub_5:Test (Best Model) - Loss: 0.5908 - Accuracy: 0.5625 - F1: 0.3600
sub_9:Test (Best Model) - Loss: 0.0788 - Accuracy: 0.9375 - F1: 0.9352
sub_6:Test (Best Model) - Loss: 0.5438 - Accuracy: 0.7500 - F1: 0.7091
sub_7:Test (Best Model) - Loss: 0.5535 - Accuracy: 0.7812 - F1: 0.7519
sub_4:Test (Best Model) - Loss: 0.6808 - Accuracy: 0.5455 - F1: 0.3529
sub_10:Test (Best Model) - Loss: 0.2217 - Accuracy: 0.9062 - F1: 0.9015
sub_3:Test (Best Model) - Loss: 0.6717 - Accuracy: 0.5455 - F1: 0.3529
sub_6:Test (Best Model) - Loss: 0.6341 - Accuracy: 0.5455 - F1: 0.3529
sub_4:Test (Best Model) - Loss: 0.6617 - Accuracy: 0.5758 - F1: 0.4225
sub_2:Test (Best Model) - Loss: 0.1612 - Accuracy: 0.9062 - F1: 0.9039
sub_8:Test (Best Model) - Loss: 0.5782 - Accuracy: 0.8125 - F1: 0.8095
sub_1:Test (Best Model) - Loss: 0.0938 - Accuracy: 0.9697 - F1: 0.9692
sub_7:Test (Best Model) - Loss: 0.5725 - Accuracy: 0.7500 - F1: 0.7091
sub_3:Test (Best Model) - Loss: 0.6630 - Accuracy: 0.5455 - F1: 0.3529
sub_9:Test (Best Model) - Loss: 0.0917 - Accuracy: 0.9375 - F1: 0.9352
sub_4:Test (Best Model) - Loss: 0.6318 - Accuracy: 0.5455 - F1: 0.3529
sub_8:Test (Best Model) - Loss: 0.6793 - Accuracy: 0.5625 - F1: 0.3600
sub_10:Test (Best Model) - Loss: 0.1349 - Accuracy: 0.9375 - F1: 0.9352
sub_5:Test (Best Model) - Loss: 0.2966 - Accuracy: 0.8750 - F1: 0.8750
sub_7:Test (Best Model) - Loss: 0.6787 - Accuracy: 0.5625 - F1: 0.3600
sub_2:Test (Best Model) - Loss: 0.6153 - Accuracy: 0.6875 - F1: 0.6135
sub_3:Test (Best Model) - Loss: 0.6066 - Accuracy: 0.5455 - F1: 0.3529
sub_1:Test (Best Model) - Loss: 0.0925 - Accuracy: 0.9697 - F1: 0.9692
sub_4:Test (Best Model) - Loss: 0.6834 - Accuracy: 0.5455 - F1: 0.3529
sub_6:Test (Best Model) - Loss: 1.0084 - Accuracy: 0.8182 - F1: 0.8036
sub_8:Test (Best Model) - Loss: 0.6846 - Accuracy: 0.5625 - F1: 0.3600
sub_10:Test (Best Model) - Loss: 0.1528 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 0.6762 - Accuracy: 0.5625 - F1: 0.3600
sub_6:Test (Best Model) - Loss: 0.6766 - Accuracy: 0.5152 - F1: 0.3889
sub_5:Test (Best Model) - Loss: 0.6081 - Accuracy: 0.5625 - F1: 0.3600
sub_7:Test (Best Model) - Loss: 0.6722 - Accuracy: 0.5625 - F1: 0.3600
sub_9:Test (Best Model) - Loss: 0.0299 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.6299 - Accuracy: 0.5625 - F1: 0.3600
sub_2:Test (Best Model) - Loss: 0.0981 - Accuracy: 0.9688 - F1: 0.9680
sub_10:Test (Best Model) - Loss: 0.0213 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.6725 - Accuracy: 0.6970 - F1: 0.6413
sub_1:Test (Best Model) - Loss: 0.0417 - Accuracy: 0.9697 - F1: 0.9692
sub_5:Test (Best Model) - Loss: 0.5972 - Accuracy: 0.5625 - F1: 0.3600
sub_3:Test (Best Model) - Loss: 0.1199 - Accuracy: 0.9697 - F1: 0.9692
sub_6:Test (Best Model) - Loss: 1.1640 - Accuracy: 0.6970 - F1: 0.6726
sub_7:Test (Best Model) - Loss: 0.2823 - Accuracy: 0.8750 - F1: 0.8704
sub_2:Test (Best Model) - Loss: 0.5615 - Accuracy: 0.7188 - F1: 0.6632
sub_10:Test (Best Model) - Loss: 0.0224 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.1032 - Accuracy: 0.9375 - F1: 0.9352
sub_6:Test (Best Model) - Loss: 0.6408 - Accuracy: 0.5455 - F1: 0.3529
sub_5:Test (Best Model) - Loss: 0.6810 - Accuracy: 0.5625 - F1: 0.3600
sub_8:Test (Best Model) - Loss: 0.1054 - Accuracy: 0.9688 - F1: 0.9680
sub_1:Test (Best Model) - Loss: 0.5980 - Accuracy: 0.5758 - F1: 0.4225
sub_3:Test (Best Model) - Loss: 0.0200 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 1.0397 - Accuracy: 0.7879 - F1: 0.7664
sub_4:Test (Best Model) - Loss: 0.7951 - Accuracy: 0.8485 - F1: 0.8433
sub_7:Test (Best Model) - Loss: 0.4753 - Accuracy: 0.8125 - F1: 0.7922
sub_6:Test (Best Model) - Loss: 0.6778 - Accuracy: 0.5758 - F1: 0.4225
sub_10:Test (Best Model) - Loss: 0.1033 - Accuracy: 0.9697 - F1: 0.9692
sub_2:Test (Best Model) - Loss: 0.5700 - Accuracy: 0.8485 - F1: 0.8390
sub_8:Test (Best Model) - Loss: 0.3354 - Accuracy: 0.8438 - F1: 0.8303
sub_9:Test (Best Model) - Loss: 0.4331 - Accuracy: 0.8125 - F1: 0.7922
sub_5:Test (Best Model) - Loss: 0.6019 - Accuracy: 0.7500 - F1: 0.7460
sub_7:Test (Best Model) - Loss: 0.5519 - Accuracy: 0.7500 - F1: 0.7091
sub_4:Test (Best Model) - Loss: 0.5320 - Accuracy: 0.8182 - F1: 0.8036
sub_1:Test (Best Model) - Loss: 0.1348 - Accuracy: 0.9375 - F1: 0.9352
sub_6:Test (Best Model) - Loss: 0.5841 - Accuracy: 0.7576 - F1: 0.7381
sub_3:Test (Best Model) - Loss: 0.1058 - Accuracy: 0.9697 - F1: 0.9692
sub_5:Test (Best Model) - Loss: 0.6410 - Accuracy: 0.5312 - F1: 0.3469
sub_9:Test (Best Model) - Loss: 0.0601 - Accuracy: 0.9688 - F1: 0.9680
sub_10:Test (Best Model) - Loss: 0.1595 - Accuracy: 0.9697 - F1: 0.9692
sub_4:Test (Best Model) - Loss: 1.2813 - Accuracy: 0.6061 - F1: 0.4850
sub_2:Test (Best Model) - Loss: 0.5484 - Accuracy: 0.7273 - F1: 0.6857
sub_1:Test (Best Model) - Loss: 0.0097 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0360 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.9275 - Accuracy: 0.7273 - F1: 0.7102
sub_5:Test (Best Model) - Loss: 0.5553 - Accuracy: 0.7500 - F1: 0.7460
sub_10:Test (Best Model) - Loss: 0.5611 - Accuracy: 0.9091 - F1: 0.9060
sub_2:Test (Best Model) - Loss: 0.7191 - Accuracy: 0.7879 - F1: 0.7664
sub_9:Test (Best Model) - Loss: 0.0554 - Accuracy: 0.9688 - F1: 0.9685
sub_6:Test (Best Model) - Loss: 0.9008 - Accuracy: 0.6970 - F1: 0.6413
sub_1:Test (Best Model) - Loss: 0.0228 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.1266 - Accuracy: 0.9394 - F1: 0.9389
sub_2:Test (Best Model) - Loss: 0.5376 - Accuracy: 0.6970 - F1: 0.6413
sub_6:Test (Best Model) - Loss: 0.5046 - Accuracy: 0.7273 - F1: 0.6857
sub_5:Test (Best Model) - Loss: 0.5168 - Accuracy: 0.6562 - F1: 0.5883
sub_9:Test (Best Model) - Loss: 0.1375 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0131 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0466 - Accuracy: 0.9688 - F1: 0.9685
sub_1:Test (Best Model) - Loss: 0.0395 - Accuracy: 0.9688 - F1: 0.9680
sub_9:Test (Best Model) - Loss: 0.0641 - Accuracy: 0.9688 - F1: 0.9680
sub_12:Test (Best Model) - Loss: 0.6535 - Accuracy: 0.5625 - F1: 0.3600
sub_15:Test (Best Model) - Loss: 0.6908 - Accuracy: 0.5625 - F1: 0.3600
sub_18:Test (Best Model) - Loss: 0.6873 - Accuracy: 0.5455 - F1: 0.3529
sub_20:Test (Best Model) - Loss: 0.6425 - Accuracy: 0.5938 - F1: 0.4340
sub_14:Test (Best Model) - Loss: 0.6768 - Accuracy: 0.5625 - F1: 0.3600
sub_19:Test (Best Model) - Loss: 0.5583 - Accuracy: 0.5625 - F1: 0.3600
sub_16:Test (Best Model) - Loss: 0.6649 - Accuracy: 0.5625 - F1: 0.3600
sub_13:Test (Best Model) - Loss: 0.6818 - Accuracy: 0.5625 - F1: 0.3600
sub_11:Test (Best Model) - Loss: 0.6576 - Accuracy: 0.5758 - F1: 0.4225
sub_17:Test (Best Model) - Loss: 0.6853 - Accuracy: 0.5455 - F1: 0.3529
sub_12:Test (Best Model) - Loss: 0.1762 - Accuracy: 0.9062 - F1: 0.9015
sub_15:Test (Best Model) - Loss: 0.6920 - Accuracy: 0.5625 - F1: 0.3600
sub_19:Test (Best Model) - Loss: 0.5993 - Accuracy: 0.5625 - F1: 0.3600
sub_20:Test (Best Model) - Loss: 0.6295 - Accuracy: 0.5625 - F1: 0.3600
sub_16:Test (Best Model) - Loss: 0.6768 - Accuracy: 0.5625 - F1: 0.3600
sub_12:Test (Best Model) - Loss: 0.5749 - Accuracy: 0.7812 - F1: 0.7519
sub_11:Test (Best Model) - Loss: 0.6729 - Accuracy: 0.5455 - F1: 0.3529
sub_15:Test (Best Model) - Loss: 0.6933 - Accuracy: 0.5312 - F1: 0.3469
sub_18:Test (Best Model) - Loss: 0.5128 - Accuracy: 0.8788 - F1: 0.8731
sub_16:Test (Best Model) - Loss: 0.6430 - Accuracy: 0.5625 - F1: 0.3600
sub_12:Test (Best Model) - Loss: 0.5939 - Accuracy: 0.5938 - F1: 0.4340
sub_13:Test (Best Model) - Loss: 0.6225 - Accuracy: 0.5938 - F1: 0.4340
sub_14:Test (Best Model) - Loss: 1.4739 - Accuracy: 0.6250 - F1: 0.6000
sub_11:Test (Best Model) - Loss: 0.6429 - Accuracy: 0.6364 - F1: 0.5417
sub_16:Test (Best Model) - Loss: 0.6895 - Accuracy: 0.5625 - F1: 0.3600
sub_19:Test (Best Model) - Loss: 0.0872 - Accuracy: 0.9688 - F1: 0.9680
sub_15:Test (Best Model) - Loss: 0.7155 - Accuracy: 0.5312 - F1: 0.3469
sub_20:Test (Best Model) - Loss: 0.0668 - Accuracy: 0.9688 - F1: 0.9680
sub_17:Test (Best Model) - Loss: 0.6207 - Accuracy: 0.7879 - F1: 0.7664
sub_18:Test (Best Model) - Loss: 0.1909 - Accuracy: 0.9394 - F1: 0.9389
sub_13:Test (Best Model) - Loss: 0.6846 - Accuracy: 0.5625 - F1: 0.3600
sub_12:Test (Best Model) - Loss: 0.3333 - Accuracy: 0.8438 - F1: 0.8303
sub_16:Test (Best Model) - Loss: 0.5549 - Accuracy: 0.7500 - F1: 0.7229
sub_11:Test (Best Model) - Loss: 0.6560 - Accuracy: 0.5758 - F1: 0.4225
sub_14:Test (Best Model) - Loss: 0.6091 - Accuracy: 0.9062 - F1: 0.9054
sub_15:Test (Best Model) - Loss: 0.6890 - Accuracy: 0.5625 - F1: 0.3600
sub_19:Test (Best Model) - Loss: 0.4659 - Accuracy: 0.5625 - F1: 0.3600
sub_18:Test (Best Model) - Loss: 0.6833 - Accuracy: 0.5455 - F1: 0.3529
sub_13:Test (Best Model) - Loss: 0.6470 - Accuracy: 0.5625 - F1: 0.3600
sub_20:Test (Best Model) - Loss: 0.5850 - Accuracy: 0.6562 - F1: 0.5594
sub_14:Test (Best Model) - Loss: 0.6862 - Accuracy: 0.5625 - F1: 0.3600
sub_12:Test (Best Model) - Loss: 0.9705 - Accuracy: 0.6667 - F1: 0.6553
sub_17:Test (Best Model) - Loss: 0.6109 - Accuracy: 0.6667 - F1: 0.5935
sub_11:Test (Best Model) - Loss: 0.0624 - Accuracy: 0.9394 - F1: 0.9389
sub_16:Test (Best Model) - Loss: 0.1385 - Accuracy: 0.9375 - F1: 0.9365
sub_18:Test (Best Model) - Loss: 0.0503 - Accuracy: 0.9697 - F1: 0.9692
sub_13:Test (Best Model) - Loss: 0.6731 - Accuracy: 0.5625 - F1: 0.3600
sub_19:Test (Best Model) - Loss: 0.0179 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.0248 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.5517 - Accuracy: 0.6875 - F1: 0.6135
sub_18:Test (Best Model) - Loss: 0.5584 - Accuracy: 0.6875 - F1: 0.6135
sub_17:Test (Best Model) - Loss: 0.6860 - Accuracy: 0.5455 - F1: 0.3529
sub_12:Test (Best Model) - Loss: 1.6274 - Accuracy: 0.5758 - F1: 0.4653
sub_14:Test (Best Model) - Loss: 0.8814 - Accuracy: 0.4688 - F1: 0.3637
sub_11:Test (Best Model) - Loss: 0.7381 - Accuracy: 0.7576 - F1: 0.7273
sub_15:Test (Best Model) - Loss: 0.6820 - Accuracy: 0.5625 - F1: 0.3600
sub_18:Test (Best Model) - Loss: 0.6312 - Accuracy: 0.5625 - F1: 0.3600
sub_14:Test (Best Model) - Loss: 0.6371 - Accuracy: 0.5625 - F1: 0.3600
sub_13:Test (Best Model) - Loss: 0.3461 - Accuracy: 0.8485 - F1: 0.8390
sub_16:Test (Best Model) - Loss: 0.2168 - Accuracy: 0.9375 - F1: 0.9373
sub_19:Test (Best Model) - Loss: 0.0982 - Accuracy: 0.9688 - F1: 0.9680
sub_20:Test (Best Model) - Loss: 0.5195 - Accuracy: 0.9062 - F1: 0.9015
sub_12:Test (Best Model) - Loss: 2.0137 - Accuracy: 0.6970 - F1: 0.6413
sub_15:Test (Best Model) - Loss: 0.6856 - Accuracy: 0.5625 - F1: 0.3600
sub_18:Test (Best Model) - Loss: 0.6739 - Accuracy: 0.5625 - F1: 0.3600
sub_14:Test (Best Model) - Loss: 0.6653 - Accuracy: 0.5625 - F1: 0.3600
sub_16:Test (Best Model) - Loss: 0.6611 - Accuracy: 0.5625 - F1: 0.3600
sub_11:Test (Best Model) - Loss: 0.9772 - Accuracy: 0.7273 - F1: 0.6857
sub_17:Test (Best Model) - Loss: 0.6786 - Accuracy: 0.8788 - F1: 0.8731
sub_15:Test (Best Model) - Loss: 0.6786 - Accuracy: 0.5625 - F1: 0.3600
sub_16:Test (Best Model) - Loss: 0.6336 - Accuracy: 0.5938 - F1: 0.4340
sub_14:Test (Best Model) - Loss: 0.5839 - Accuracy: 0.5625 - F1: 0.3600
sub_19:Test (Best Model) - Loss: 0.0267 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.6752 - Accuracy: 0.5455 - F1: 0.3529
sub_14:Test (Best Model) - Loss: 0.6789 - Accuracy: 0.5625 - F1: 0.3600
sub_16:Test (Best Model) - Loss: 0.6529 - Accuracy: 0.5625 - F1: 0.3600
sub_13:Test (Best Model) - Loss: 0.4180 - Accuracy: 0.8788 - F1: 0.8731
sub_12:Test (Best Model) - Loss: 2.1746 - Accuracy: 0.6667 - F1: 0.6330
sub_18:Test (Best Model) - Loss: 0.0740 - Accuracy: 0.9688 - F1: 0.9680
sub_20:Test (Best Model) - Loss: 0.3468 - Accuracy: 0.8750 - F1: 0.8667
sub_15:Test (Best Model) - Loss: 0.6740 - Accuracy: 0.5625 - F1: 0.3600
sub_17:Test (Best Model) - Loss: 0.1578 - Accuracy: 0.9394 - F1: 0.9380
sub_11:Test (Best Model) - Loss: 0.6655 - Accuracy: 0.5455 - F1: 0.3529
sub_14:Test (Best Model) - Loss: 0.6675 - Accuracy: 0.5625 - F1: 0.3600
sub_16:Test (Best Model) - Loss: 0.6763 - Accuracy: 0.5625 - F1: 0.3600
sub_18:Test (Best Model) - Loss: 0.6374 - Accuracy: 0.6250 - F1: 0.5000
sub_13:Test (Best Model) - Loss: 0.6849 - Accuracy: 0.5455 - F1: 0.3529
sub_16:Test (Best Model) - Loss: 0.6590 - Accuracy: 0.5938 - F1: 0.4340
sub_15:Test (Best Model) - Loss: 0.6880 - Accuracy: 0.5625 - F1: 0.3600
sub_12:Test (Best Model) - Loss: 1.4639 - Accuracy: 0.6667 - F1: 0.6159
sub_14:Test (Best Model) - Loss: 0.6622 - Accuracy: 0.5625 - F1: 0.3600
sub_20:Test (Best Model) - Loss: 0.5664 - Accuracy: 0.7812 - F1: 0.7519
sub_19:Test (Best Model) - Loss: 0.0558 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.6839 - Accuracy: 0.5625 - F1: 0.3600
sub_16:Test (Best Model) - Loss: 0.6209 - Accuracy: 0.6250 - F1: 0.5000
sub_14:Test (Best Model) - Loss: 0.6702 - Accuracy: 0.6875 - F1: 0.6135
sub_17:Test (Best Model) - Loss: 0.3792 - Accuracy: 0.8788 - F1: 0.8731
sub_18:Test (Best Model) - Loss: 0.6233 - Accuracy: 0.6562 - F1: 0.5883
sub_16:Test (Best Model) - Loss: 0.5809 - Accuracy: 0.7188 - F1: 0.6632
sub_19:Test (Best Model) - Loss: 0.5784 - Accuracy: 0.5625 - F1: 0.3600
sub_11:Test (Best Model) - Loss: 1.8492 - Accuracy: 0.7273 - F1: 0.6857
sub_12:Test (Best Model) - Loss: 0.7463 - Accuracy: 0.7188 - F1: 0.7117
sub_14:Test (Best Model) - Loss: 0.6132 - Accuracy: 0.6562 - F1: 0.5594
sub_13:Test (Best Model) - Loss: 0.2751 - Accuracy: 0.9091 - F1: 0.9077
sub_20:Test (Best Model) - Loss: 0.6834 - Accuracy: 0.7812 - F1: 0.7519
sub_18:Test (Best Model) - Loss: 0.5913 - Accuracy: 0.6250 - F1: 0.5000
sub_15:Test (Best Model) - Loss: 0.6981 - Accuracy: 0.5000 - F1: 0.4818
sub_14:Test (Best Model) - Loss: 0.6714 - Accuracy: 0.5625 - F1: 0.3600
sub_12:Test (Best Model) - Loss: 0.6358 - Accuracy: 0.5625 - F1: 0.3600
sub_13:Test (Best Model) - Loss: 0.6600 - Accuracy: 0.5455 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 0.3169 - Accuracy: 0.9091 - F1: 0.9060
sub_20:Test (Best Model) - Loss: 0.6576 - Accuracy: 0.5625 - F1: 0.3600
sub_16:Test (Best Model) - Loss: 1.5475 - Accuracy: 0.5938 - F1: 0.4340
sub_15:Test (Best Model) - Loss: 0.6789 - Accuracy: 0.5625 - F1: 0.3600
sub_14:Test (Best Model) - Loss: 0.6918 - Accuracy: 0.5938 - F1: 0.4340
sub_18:Test (Best Model) - Loss: 0.1877 - Accuracy: 0.9375 - F1: 0.9365
sub_19:Test (Best Model) - Loss: 0.1036 - Accuracy: 0.9375 - F1: 0.9352
sub_20:Test (Best Model) - Loss: 0.6810 - Accuracy: 0.5455 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 0.6624 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 0.5203 - Accuracy: 0.8788 - F1: 0.8759
sub_18:Test (Best Model) - Loss: 0.3766 - Accuracy: 0.9688 - F1: 0.9685
sub_12:Test (Best Model) - Loss: 0.0370 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.6429 - Accuracy: 0.5938 - F1: 0.5393
sub_13:Test (Best Model) - Loss: 0.7196 - Accuracy: 0.7188 - F1: 0.7185
sub_20:Test (Best Model) - Loss: 0.5938 - Accuracy: 0.6364 - F1: 0.5417
sub_11:Test (Best Model) - Loss: 0.6714 - Accuracy: 0.5455 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 0.5828 - Accuracy: 0.6667 - F1: 0.5935
sub_12:Test (Best Model) - Loss: 0.1059 - Accuracy: 0.9688 - F1: 0.9680
sub_19:Test (Best Model) - Loss: 0.1693 - Accuracy: 0.9062 - F1: 0.9015
sub_15:Test (Best Model) - Loss: 0.6524 - Accuracy: 0.5938 - F1: 0.4340
sub_12:Test (Best Model) - Loss: 0.6570 - Accuracy: 0.5625 - F1: 0.3600
sub_11:Test (Best Model) - Loss: 0.6861 - Accuracy: 0.5455 - F1: 0.3529
sub_13:Test (Best Model) - Loss: 0.8504 - Accuracy: 0.7188 - F1: 0.7163
sub_20:Test (Best Model) - Loss: 1.2153 - Accuracy: 0.7576 - F1: 0.7273
sub_19:Test (Best Model) - Loss: 0.6235 - Accuracy: 0.5625 - F1: 0.3600
sub_17:Test (Best Model) - Loss: 0.3061 - Accuracy: 0.9062 - F1: 0.9062
sub_13:Test (Best Model) - Loss: 0.6508 - Accuracy: 0.5938 - F1: 0.4340
sub_20:Test (Best Model) - Loss: 1.0169 - Accuracy: 0.7576 - F1: 0.7273
sub_11:Test (Best Model) - Loss: 0.4562 - Accuracy: 0.9091 - F1: 0.9060
sub_19:Test (Best Model) - Loss: 0.5256 - Accuracy: 0.6875 - F1: 0.6135
sub_20:Test (Best Model) - Loss: 0.6479 - Accuracy: 0.6061 - F1: 0.4850
sub_13:Test (Best Model) - Loss: 0.5717 - Accuracy: 0.7812 - F1: 0.7625
sub_17:Test (Best Model) - Loss: 0.1637 - Accuracy: 0.9375 - F1: 0.9365
sub_11:Test (Best Model) - Loss: 0.2306 - Accuracy: 0.9091 - F1: 0.9060
sub_19:Test (Best Model) - Loss: 0.7291 - Accuracy: 0.8125 - F1: 0.7922
sub_13:Test (Best Model) - Loss: 0.8950 - Accuracy: 0.7188 - F1: 0.6946
sub_17:Test (Best Model) - Loss: 0.2795 - Accuracy: 0.8438 - F1: 0.8303
sub_17:Test (Best Model) - Loss: 0.4986 - Accuracy: 0.9062 - F1: 0.9015
sub_19:Test (Best Model) - Loss: 1.3867 - Accuracy: 0.8750 - F1: 0.8667
sub_17:Test (Best Model) - Loss: 0.5239 - Accuracy: 0.6562 - F1: 0.5883
sub_21:Test (Best Model) - Loss: 0.6721 - Accuracy: 0.5625 - F1: 0.3600
sub_29:Test (Best Model) - Loss: 0.6390 - Accuracy: 0.5625 - F1: 0.3600
sub_25:Test (Best Model) - Loss: 0.6804 - Accuracy: 0.5455 - F1: 0.3529
sub_26:Test (Best Model) - Loss: 0.6587 - Accuracy: 0.5455 - F1: 0.3529
sub_27:Test (Best Model) - Loss: 0.6853 - Accuracy: 0.5455 - F1: 0.3529
sub_22:Test (Best Model) - Loss: 0.6842 - Accuracy: 0.5625 - F1: 0.3600
sub_23:Test (Best Model) - Loss: 0.6852 - Accuracy: 0.5455 - F1: 0.3529
sub_28:Test (Best Model) - Loss: 0.6683 - Accuracy: 0.5625 - F1: 0.3600
sub_29:Test (Best Model) - Loss: 0.6083 - Accuracy: 0.5625 - F1: 0.3600
sub_25:Test (Best Model) - Loss: 0.6873 - Accuracy: 0.5455 - F1: 0.3529
sub_24:Test (Best Model) - Loss: 0.1846 - Accuracy: 0.9375 - F1: 0.9352
sub_22:Test (Best Model) - Loss: 0.7125 - Accuracy: 0.6250 - F1: 0.5636
sub_23:Test (Best Model) - Loss: 0.6555 - Accuracy: 0.5455 - F1: 0.3529
sub_28:Test (Best Model) - Loss: 0.6658 - Accuracy: 0.6250 - F1: 0.5000
sub_25:Test (Best Model) - Loss: 0.6582 - Accuracy: 0.5758 - F1: 0.4653
sub_23:Test (Best Model) - Loss: 0.5807 - Accuracy: 0.7576 - F1: 0.7273
sub_24:Test (Best Model) - Loss: 0.6183 - Accuracy: 0.5625 - F1: 0.3600
sub_26:Test (Best Model) - Loss: 0.3097 - Accuracy: 0.8788 - F1: 0.8787
sub_21:Test (Best Model) - Loss: 0.6080 - Accuracy: 0.6562 - F1: 0.6102
sub_29:Test (Best Model) - Loss: 0.2702 - Accuracy: 0.9375 - F1: 0.9352
sub_28:Test (Best Model) - Loss: 0.6683 - Accuracy: 0.5625 - F1: 0.3600
sub_24:Test (Best Model) - Loss: 0.6541 - Accuracy: 0.5625 - F1: 0.3600
sub_27:Test (Best Model) - Loss: 0.6207 - Accuracy: 0.7879 - F1: 0.7664
sub_25:Test (Best Model) - Loss: 0.7008 - Accuracy: 0.5455 - F1: 0.3529
sub_23:Test (Best Model) - Loss: 0.6520 - Accuracy: 0.5455 - F1: 0.3529
sub_21:Test (Best Model) - Loss: 0.6267 - Accuracy: 0.6875 - F1: 0.6364
sub_22:Test (Best Model) - Loss: 0.2166 - Accuracy: 0.9375 - F1: 0.9373
sub_28:Test (Best Model) - Loss: 0.6757 - Accuracy: 0.5625 - F1: 0.3600
sub_25:Test (Best Model) - Loss: 0.6250 - Accuracy: 0.5758 - F1: 0.4225
sub_23:Test (Best Model) - Loss: 0.6765 - Accuracy: 0.5455 - F1: 0.3529
sub_24:Test (Best Model) - Loss: 0.5635 - Accuracy: 0.5625 - F1: 0.3600
sub_29:Test (Best Model) - Loss: 1.0207 - Accuracy: 0.7812 - F1: 0.7519
sub_22:Test (Best Model) - Loss: 0.6779 - Accuracy: 0.5625 - F1: 0.3600
sub_21:Test (Best Model) - Loss: 0.6367 - Accuracy: 0.6250 - F1: 0.5000
sub_27:Test (Best Model) - Loss: 0.6109 - Accuracy: 0.6667 - F1: 0.5935
sub_28:Test (Best Model) - Loss: 0.6415 - Accuracy: 0.5938 - F1: 0.4340
sub_26:Test (Best Model) - Loss: 0.2196 - Accuracy: 0.9697 - F1: 0.9692
sub_23:Test (Best Model) - Loss: 0.7262 - Accuracy: 0.4375 - F1: 0.4286
sub_27:Test (Best Model) - Loss: 0.6860 - Accuracy: 0.5455 - F1: 0.3529
sub_25:Test (Best Model) - Loss: 0.6253 - Accuracy: 0.6562 - F1: 0.5594
sub_29:Test (Best Model) - Loss: 0.6746 - Accuracy: 0.7812 - F1: 0.7519
sub_22:Test (Best Model) - Loss: 0.2403 - Accuracy: 0.8125 - F1: 0.8118
sub_24:Test (Best Model) - Loss: 0.2818 - Accuracy: 0.9062 - F1: 0.9015
sub_26:Test (Best Model) - Loss: 0.5921 - Accuracy: 0.6061 - F1: 0.4850
sub_21:Test (Best Model) - Loss: 0.5081 - Accuracy: 0.8438 - F1: 0.8303
sub_25:Test (Best Model) - Loss: 0.6277 - Accuracy: 0.5938 - F1: 0.4340
sub_26:Test (Best Model) - Loss: 0.6804 - Accuracy: 0.5455 - F1: 0.3529
sub_28:Test (Best Model) - Loss: 0.5885 - Accuracy: 0.6875 - F1: 0.6135
sub_29:Test (Best Model) - Loss: 0.0205 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.0523 - Accuracy: 0.9688 - F1: 0.9680
sub_21:Test (Best Model) - Loss: 0.6336 - Accuracy: 0.5625 - F1: 0.3600
sub_23:Test (Best Model) - Loss: 0.2274 - Accuracy: 0.9062 - F1: 0.9039
sub_22:Test (Best Model) - Loss: 0.6570 - Accuracy: 0.7273 - F1: 0.6857
sub_27:Test (Best Model) - Loss: 0.6786 - Accuracy: 0.8788 - F1: 0.8731
sub_25:Test (Best Model) - Loss: 0.6742 - Accuracy: 0.5625 - F1: 0.3600
sub_28:Test (Best Model) - Loss: 0.6524 - Accuracy: 0.5625 - F1: 0.3600
sub_26:Test (Best Model) - Loss: 0.5670 - Accuracy: 0.8125 - F1: 0.7922
sub_29:Test (Best Model) - Loss: 0.1193 - Accuracy: 0.9688 - F1: 0.9685
sub_25:Test (Best Model) - Loss: 0.6806 - Accuracy: 0.5625 - F1: 0.3600
sub_23:Test (Best Model) - Loss: 0.5394 - Accuracy: 0.7812 - F1: 0.7810
sub_24:Test (Best Model) - Loss: 0.4705 - Accuracy: 0.9062 - F1: 0.9015
sub_27:Test (Best Model) - Loss: 0.1578 - Accuracy: 0.9394 - F1: 0.9380
sub_28:Test (Best Model) - Loss: 0.6797 - Accuracy: 0.5625 - F1: 0.3600
sub_22:Test (Best Model) - Loss: 0.0636 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.6600 - Accuracy: 0.5625 - F1: 0.3600
sub_21:Test (Best Model) - Loss: 0.5359 - Accuracy: 0.6562 - F1: 0.5594
sub_24:Test (Best Model) - Loss: 0.6514 - Accuracy: 0.5625 - F1: 0.3600
sub_28:Test (Best Model) - Loss: 0.6783 - Accuracy: 0.5625 - F1: 0.3600
sub_29:Test (Best Model) - Loss: 0.0905 - Accuracy: 0.9375 - F1: 0.9373
sub_22:Test (Best Model) - Loss: 0.6734 - Accuracy: 0.5455 - F1: 0.3529
sub_25:Test (Best Model) - Loss: 0.6828 - Accuracy: 0.5625 - F1: 0.3600
sub_21:Test (Best Model) - Loss: 0.6675 - Accuracy: 0.5625 - F1: 0.3600
sub_27:Test (Best Model) - Loss: 0.3792 - Accuracy: 0.8788 - F1: 0.8731
sub_26:Test (Best Model) - Loss: 0.6960 - Accuracy: 0.7188 - F1: 0.6632
sub_28:Test (Best Model) - Loss: 0.6795 - Accuracy: 0.5625 - F1: 0.3600
sub_24:Test (Best Model) - Loss: 0.6586 - Accuracy: 0.5625 - F1: 0.3600
sub_22:Test (Best Model) - Loss: 0.6264 - Accuracy: 0.6364 - F1: 0.5417
sub_23:Test (Best Model) - Loss: 0.3198 - Accuracy: 0.8750 - F1: 0.8745
sub_25:Test (Best Model) - Loss: 0.6705 - Accuracy: 0.5625 - F1: 0.3600
sub_21:Test (Best Model) - Loss: 0.6699 - Accuracy: 0.5625 - F1: 0.3600
sub_29:Test (Best Model) - Loss: 0.2076 - Accuracy: 0.9375 - F1: 0.9373
sub_28:Test (Best Model) - Loss: 0.6286 - Accuracy: 0.6875 - F1: 0.6667
sub_24:Test (Best Model) - Loss: 0.5867 - Accuracy: 0.5625 - F1: 0.3600
sub_23:Test (Best Model) - Loss: 0.6373 - Accuracy: 0.6562 - F1: 0.6476
sub_27:Test (Best Model) - Loss: 0.3169 - Accuracy: 0.9091 - F1: 0.9060
sub_21:Test (Best Model) - Loss: 0.6759 - Accuracy: 0.5625 - F1: 0.3600
sub_22:Test (Best Model) - Loss: 0.6255 - Accuracy: 0.6061 - F1: 0.4850
sub_26:Test (Best Model) - Loss: 0.6656 - Accuracy: 0.7500 - F1: 0.7229
sub_28:Test (Best Model) - Loss: 0.5818 - Accuracy: 0.6875 - F1: 0.6761
sub_23:Test (Best Model) - Loss: 0.7454 - Accuracy: 0.3636 - F1: 0.3419
sub_25:Test (Best Model) - Loss: 0.7943 - Accuracy: 0.7188 - F1: 0.6811
sub_24:Test (Best Model) - Loss: 0.6717 - Accuracy: 0.5625 - F1: 0.3600
sub_27:Test (Best Model) - Loss: 0.6624 - Accuracy: 0.5455 - F1: 0.3529
sub_22:Test (Best Model) - Loss: 0.6822 - Accuracy: 0.5625 - F1: 0.3600
sub_29:Test (Best Model) - Loss: 0.2584 - Accuracy: 0.9375 - F1: 0.9352
sub_23:Test (Best Model) - Loss: 0.8221 - Accuracy: 0.1515 - F1: 0.1316
sub_21:Test (Best Model) - Loss: 0.5963 - Accuracy: 0.7500 - F1: 0.7409
sub_27:Test (Best Model) - Loss: 0.5828 - Accuracy: 0.6667 - F1: 0.5935
sub_22:Test (Best Model) - Loss: 0.6846 - Accuracy: 0.5625 - F1: 0.3600
sub_25:Test (Best Model) - Loss: 0.5728 - Accuracy: 0.6875 - F1: 0.6135
sub_29:Test (Best Model) - Loss: 0.6876 - Accuracy: 0.5455 - F1: 0.3529
sub_26:Test (Best Model) - Loss: 0.6509 - Accuracy: 0.6875 - F1: 0.6537
sub_28:Test (Best Model) - Loss: 1.0090 - Accuracy: 0.6250 - F1: 0.6000
sub_25:Test (Best Model) - Loss: 0.6026 - Accuracy: 0.5938 - F1: 0.4340
sub_22:Test (Best Model) - Loss: 0.6977 - Accuracy: 0.5625 - F1: 0.3600
sub_21:Test (Best Model) - Loss: 0.6990 - Accuracy: 0.8438 - F1: 0.8303
sub_24:Test (Best Model) - Loss: 0.3180 - Accuracy: 0.8750 - F1: 0.8745
sub_29:Test (Best Model) - Loss: 0.5825 - Accuracy: 0.6970 - F1: 0.6413
sub_23:Test (Best Model) - Loss: 3.2455 - Accuracy: 0.4848 - F1: 0.4063
sub_27:Test (Best Model) - Loss: 0.3061 - Accuracy: 0.9062 - F1: 0.9062
sub_26:Test (Best Model) - Loss: 0.6248 - Accuracy: 0.5938 - F1: 0.4340
sub_24:Test (Best Model) - Loss: 0.6517 - Accuracy: 0.5625 - F1: 0.3600
sub_28:Test (Best Model) - Loss: 1.8202 - Accuracy: 0.5000 - F1: 0.4182
sub_26:Test (Best Model) - Loss: 0.6817 - Accuracy: 0.5625 - F1: 0.3600
sub_22:Test (Best Model) - Loss: 1.3313 - Accuracy: 0.7188 - F1: 0.6946
sub_29:Test (Best Model) - Loss: 0.0781 - Accuracy: 0.9697 - F1: 0.9692
sub_21:Test (Best Model) - Loss: 0.7449 - Accuracy: 0.7188 - F1: 0.6632
sub_23:Test (Best Model) - Loss: 1.8211 - Accuracy: 0.2424 - F1: 0.2311
sub_27:Test (Best Model) - Loss: 0.1637 - Accuracy: 0.9375 - F1: 0.9365
sub_24:Test (Best Model) - Loss: 0.3638 - Accuracy: 0.9062 - F1: 0.9039
sub_21:Test (Best Model) - Loss: 0.5268 - Accuracy: 0.7500 - F1: 0.7091
sub_29:Test (Best Model) - Loss: 0.2377 - Accuracy: 0.9394 - F1: 0.9380
sub_26:Test (Best Model) - Loss: 0.9700 - Accuracy: 0.7812 - F1: 0.7519
sub_22:Test (Best Model) - Loss: 0.4553 - Accuracy: 0.8438 - F1: 0.8359
sub_23:Test (Best Model) - Loss: 0.8402 - Accuracy: 0.3636 - F1: 0.3541
sub_28:Test (Best Model) - Loss: 1.8189 - Accuracy: 0.5312 - F1: 0.4910
sub_24:Test (Best Model) - Loss: 0.4059 - Accuracy: 0.9062 - F1: 0.9054
sub_27:Test (Best Model) - Loss: 0.2795 - Accuracy: 0.8438 - F1: 0.8303
sub_26:Test (Best Model) - Loss: 0.7993 - Accuracy: 0.7812 - F1: 0.7758
sub_21:Test (Best Model) - Loss: 0.9054 - Accuracy: 0.7812 - F1: 0.7519
sub_29:Test (Best Model) - Loss: 0.1562 - Accuracy: 0.9697 - F1: 0.9692
sub_26:Test (Best Model) - Loss: 0.6932 - Accuracy: 0.6875 - F1: 0.6135
sub_27:Test (Best Model) - Loss: 0.4986 - Accuracy: 0.9062 - F1: 0.9015
sub_26:Test (Best Model) - Loss: 0.5838 - Accuracy: 0.6250 - F1: 0.5000
sub_27:Test (Best Model) - Loss: 0.5239 - Accuracy: 0.6562 - F1: 0.5883

=== Summary Results ===

acc: 71.80 ± 9.44
F1: 63.02 ± 12.86
acc-in: 74.09 ± 9.21
F1-in: 64.00 ± 13.65
runing time: 620.61 seconds
