lr: 0.001
sub_1:Test (Best Model) - Loss: 7.6259 - Accuracy: 0.7188 - F1: 0.6632
sub_1:Test (Best Model) - Loss: 6.5544 - Accuracy: 0.9062 - F1: 0.9062
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 14.6042 - Accuracy: 0.8125 - F1: 0.7922
sub_1:Test (Best Model) - Loss: 7.0086 - Accuracy: 0.8438 - F1: 0.8303
sub_1:Test (Best Model) - Loss: 13.8998 - Accuracy: 0.8182 - F1: 0.8036
sub_1:Test (Best Model) - Loss: 33.7403 - Accuracy: 0.8182 - F1: 0.8036
sub_1:Test (Best Model) - Loss: 2.6000 - Accuracy: 0.9394 - F1: 0.9380
sub_1:Test (Best Model) - Loss: 6.6082 - Accuracy: 0.8788 - F1: 0.8731
sub_1:Test (Best Model) - Loss: 5.1454 - Accuracy: 0.8788 - F1: 0.8731
sub_1:Test (Best Model) - Loss: 2.7586 - Accuracy: 0.9375 - F1: 0.9373
sub_1:Test (Best Model) - Loss: 1.5279 - Accuracy: 0.9375 - F1: 0.9365
sub_1:Test (Best Model) - Loss: 6.3024 - Accuracy: 0.8750 - F1: 0.8750
sub_1:Test (Best Model) - Loss: 6.9662 - Accuracy: 0.9062 - F1: 0.9015
sub_1:Test (Best Model) - Loss: 0.1465 - Accuracy: 0.9688 - F1: 0.9685
sub_2:Test (Best Model) - Loss: 6.0939 - Accuracy: 0.6970 - F1: 0.6944
sub_2:Test (Best Model) - Loss: 8.2186 - Accuracy: 0.6667 - F1: 0.6553
sub_2:Test (Best Model) - Loss: 10.2311 - Accuracy: 0.7879 - F1: 0.7871
sub_2:Test (Best Model) - Loss: 6.9972 - Accuracy: 0.7273 - F1: 0.6997
sub_2:Test (Best Model) - Loss: 30.7582 - Accuracy: 0.7273 - F1: 0.6857
sub_2:Test (Best Model) - Loss: 12.5790 - Accuracy: 0.5625 - F1: 0.5556
sub_2:Test (Best Model) - Loss: 7.4089 - Accuracy: 0.6562 - F1: 0.6476
sub_2:Test (Best Model) - Loss: 15.7516 - Accuracy: 0.6250 - F1: 0.6113
sub_2:Test (Best Model) - Loss: 1.8828 - Accuracy: 0.8438 - F1: 0.8436
sub_2:Test (Best Model) - Loss: 10.2928 - Accuracy: 0.7188 - F1: 0.6632
sub_2:Test (Best Model) - Loss: 12.2859 - Accuracy: 0.8182 - F1: 0.8180
sub_2:Test (Best Model) - Loss: 20.6959 - Accuracy: 0.6970 - F1: 0.6591
sub_2:Test (Best Model) - Loss: 6.0559 - Accuracy: 0.8182 - F1: 0.8096
sub_2:Test (Best Model) - Loss: 9.0426 - Accuracy: 0.9091 - F1: 0.9077
sub_2:Test (Best Model) - Loss: 4.5705 - Accuracy: 0.6364 - F1: 0.6360
sub_3:Test (Best Model) - Loss: 11.7054 - Accuracy: 0.5625 - F1: 0.5466
sub_3:Test (Best Model) - Loss: 24.1736 - Accuracy: 0.5625 - F1: 0.4589
sub_3:Test (Best Model) - Loss: 19.8905 - Accuracy: 0.5625 - F1: 0.5625
sub_3:Test (Best Model) - Loss: 16.1396 - Accuracy: 0.5312 - F1: 0.4386
sub_3:Test (Best Model) - Loss: 9.6160 - Accuracy: 0.5625 - F1: 0.5556
sub_3:Test (Best Model) - Loss: 7.8359 - Accuracy: 0.5152 - F1: 0.4545
sub_3:Test (Best Model) - Loss: 29.5479 - Accuracy: 0.5758 - F1: 0.5558
sub_3:Test (Best Model) - Loss: 12.9939 - Accuracy: 0.5758 - F1: 0.4978
sub_3:Test (Best Model) - Loss: 4.2868 - Accuracy: 0.7576 - F1: 0.7273
sub_3:Test (Best Model) - Loss: 20.6034 - Accuracy: 0.5455 - F1: 0.4058
sub_3:Test (Best Model) - Loss: 19.1077 - Accuracy: 0.6061 - F1: 0.5815
sub_3:Test (Best Model) - Loss: 21.4413 - Accuracy: 0.5758 - F1: 0.5227
sub_3:Test (Best Model) - Loss: 19.7241 - Accuracy: 0.4848 - F1: 0.4328
sub_3:Test (Best Model) - Loss: 18.1345 - Accuracy: 0.5152 - F1: 0.4261
sub_3:Test (Best Model) - Loss: 19.2614 - Accuracy: 0.4545 - F1: 0.4540
sub_4:Test (Best Model) - Loss: 9.7643 - Accuracy: 0.8182 - F1: 0.8036
sub_4:Test (Best Model) - Loss: 9.5167 - Accuracy: 0.9091 - F1: 0.9060
sub_4:Test (Best Model) - Loss: 10.0388 - Accuracy: 0.8485 - F1: 0.8433
sub_4:Test (Best Model) - Loss: 2.8085 - Accuracy: 0.9091 - F1: 0.9060
sub_4:Test (Best Model) - Loss: 18.9399 - Accuracy: 0.7273 - F1: 0.6857
sub_4:Test (Best Model) - Loss: 1.5777 - Accuracy: 0.9394 - F1: 0.9389
sub_4:Test (Best Model) - Loss: 4.5774 - Accuracy: 0.8485 - F1: 0.8479
sub_4:Test (Best Model) - Loss: 11.0925 - Accuracy: 0.7576 - F1: 0.7273
sub_4:Test (Best Model) - Loss: 10.8707 - Accuracy: 0.8485 - F1: 0.8390
sub_4:Test (Best Model) - Loss: 2.7814 - Accuracy: 0.9394 - F1: 0.9380
sub_4:Test (Best Model) - Loss: 5.9822 - Accuracy: 0.7273 - F1: 0.7263
sub_4:Test (Best Model) - Loss: 3.5258 - Accuracy: 0.9091 - F1: 0.9088
sub_4:Test (Best Model) - Loss: 11.2213 - Accuracy: 0.7576 - F1: 0.7273
sub_4:Test (Best Model) - Loss: 12.1544 - Accuracy: 0.5758 - F1: 0.5227
sub_4:Test (Best Model) - Loss: 6.9593 - Accuracy: 0.7273 - F1: 0.7232
sub_5:Test (Best Model) - Loss: 26.4955 - Accuracy: 0.5000 - F1: 0.4182
sub_5:Test (Best Model) - Loss: 7.1491 - Accuracy: 0.7188 - F1: 0.7185
sub_5:Test (Best Model) - Loss: 21.1398 - Accuracy: 0.6562 - F1: 0.6532
sub_5:Test (Best Model) - Loss: 16.1186 - Accuracy: 0.6875 - F1: 0.6667
sub_5:Test (Best Model) - Loss: 23.7922 - Accuracy: 0.6875 - F1: 0.6761
sub_5:Test (Best Model) - Loss: 10.3961 - Accuracy: 0.5312 - F1: 0.4684
sub_5:Test (Best Model) - Loss: 21.0610 - Accuracy: 0.4375 - F1: 0.4000
sub_5:Test (Best Model) - Loss: 11.8557 - Accuracy: 0.7188 - F1: 0.7046
sub_5:Test (Best Model) - Loss: 43.6918 - Accuracy: 0.6875 - F1: 0.6761
sub_5:Test (Best Model) - Loss: 23.3551 - Accuracy: 0.6562 - F1: 0.6476
sub_5:Test (Best Model) - Loss: 28.0229 - Accuracy: 0.4062 - F1: 0.2889
sub_5:Test (Best Model) - Loss: 6.9962 - Accuracy: 0.5938 - F1: 0.5836
sub_5:Test (Best Model) - Loss: 18.3571 - Accuracy: 0.5312 - F1: 0.5077
sub_5:Test (Best Model) - Loss: 22.6777 - Accuracy: 0.7500 - F1: 0.7409
sub_5:Test (Best Model) - Loss: 31.5085 - Accuracy: 0.4688 - F1: 0.3976
sub_6:Test (Best Model) - Loss: 9.7594 - Accuracy: 0.8438 - F1: 0.8359
sub_6:Test (Best Model) - Loss: 5.4816 - Accuracy: 0.6875 - F1: 0.6863
sub_6:Test (Best Model) - Loss: 11.5773 - Accuracy: 0.8125 - F1: 0.7922
sub_6:Test (Best Model) - Loss: 9.0139 - Accuracy: 0.5938 - F1: 0.5733
sub_6:Test (Best Model) - Loss: 10.0146 - Accuracy: 0.7812 - F1: 0.7703
sub_6:Test (Best Model) - Loss: 16.9544 - Accuracy: 0.5758 - F1: 0.5227
sub_6:Test (Best Model) - Loss: 24.0776 - Accuracy: 0.6364 - F1: 0.5417
sub_6:Test (Best Model) - Loss: 23.4267 - Accuracy: 0.6667 - F1: 0.6159
sub_6:Test (Best Model) - Loss: 23.0283 - Accuracy: 0.6667 - F1: 0.6330
sub_6:Test (Best Model) - Loss: 37.2550 - Accuracy: 0.6970 - F1: 0.6726
sub_6:Test (Best Model) - Loss: 10.1774 - Accuracy: 0.6364 - F1: 0.6192
sub_6:Test (Best Model) - Loss: 9.3355 - Accuracy: 0.5455 - F1: 0.5299
sub_6:Test (Best Model) - Loss: 12.5317 - Accuracy: 0.7273 - F1: 0.6857
sub_6:Test (Best Model) - Loss: 8.3995 - Accuracy: 0.8182 - F1: 0.8096
sub_6:Test (Best Model) - Loss: 10.7136 - Accuracy: 0.8182 - F1: 0.8036
sub_7:Test (Best Model) - Loss: 6.6796 - Accuracy: 0.5000 - F1: 0.4818
sub_7:Test (Best Model) - Loss: 6.5660 - Accuracy: 0.7812 - F1: 0.7625
sub_7:Test (Best Model) - Loss: 9.7206 - Accuracy: 0.4688 - F1: 0.4555
sub_7:Test (Best Model) - Loss: 7.5042 - Accuracy: 0.6562 - F1: 0.6102
sub_7:Test (Best Model) - Loss: 15.3627 - Accuracy: 0.7500 - F1: 0.7091
sub_7:Test (Best Model) - Loss: 17.1631 - Accuracy: 0.4688 - F1: 0.4231
sub_7:Test (Best Model) - Loss: 32.2020 - Accuracy: 0.5625 - F1: 0.4589
sub_7:Test (Best Model) - Loss: 14.7114 - Accuracy: 0.6562 - F1: 0.5594
sub_7:Test (Best Model) - Loss: 28.8692 - Accuracy: 0.7188 - F1: 0.6811
sub_7:Test (Best Model) - Loss: 7.4770 - Accuracy: 0.8125 - F1: 0.8000
sub_7:Test (Best Model) - Loss: 9.4461 - Accuracy: 0.6875 - F1: 0.6537
sub_7:Test (Best Model) - Loss: 15.2028 - Accuracy: 0.4375 - F1: 0.4000
sub_7:Test (Best Model) - Loss: 13.3239 - Accuracy: 0.5938 - F1: 0.5934
sub_7:Test (Best Model) - Loss: 8.2301 - Accuracy: 0.6875 - F1: 0.6863
sub_7:Test (Best Model) - Loss: 5.7135 - Accuracy: 0.7500 - F1: 0.7409
sub_8:Test (Best Model) - Loss: 7.5130 - Accuracy: 0.7500 - F1: 0.7091
sub_8:Test (Best Model) - Loss: 18.2845 - Accuracy: 0.7500 - F1: 0.7409
sub_8:Test (Best Model) - Loss: 7.4952 - Accuracy: 0.8438 - F1: 0.8436
sub_8:Test (Best Model) - Loss: 4.1289 - Accuracy: 0.9062 - F1: 0.9015
sub_8:Test (Best Model) - Loss: 13.7092 - Accuracy: 0.8750 - F1: 0.8745
sub_8:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0580 - Accuracy: 0.9688 - F1: 0.9685
sub_8:Test (Best Model) - Loss: 0.0619 - Accuracy: 0.9688 - F1: 0.9685
sub_8:Test (Best Model) - Loss: 7.1198 - Accuracy: 0.8438 - F1: 0.8424
sub_8:Test (Best Model) - Loss: 0.0082 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 12.0222 - Accuracy: 0.7500 - F1: 0.7091
sub_8:Test (Best Model) - Loss: 4.6545 - Accuracy: 0.8125 - F1: 0.7922
sub_8:Test (Best Model) - Loss: 4.7977 - Accuracy: 0.9062 - F1: 0.9015
sub_8:Test (Best Model) - Loss: 2.5037 - Accuracy: 0.9062 - F1: 0.9039
sub_8:Test (Best Model) - Loss: 3.2751 - Accuracy: 0.9062 - F1: 0.9039
sub_9:Test (Best Model) - Loss: 24.5434 - Accuracy: 0.8125 - F1: 0.7922
sub_9:Test (Best Model) - Loss: 3.7756 - Accuracy: 0.9375 - F1: 0.9352
sub_9:Test (Best Model) - Loss: 7.2807 - Accuracy: 0.8125 - F1: 0.7922
sub_9:Test (Best Model) - Loss: 6.6034 - Accuracy: 0.8750 - F1: 0.8667
sub_9:Test (Best Model) - Loss: 11.5035 - Accuracy: 0.8125 - F1: 0.7922
sub_9:Test (Best Model) - Loss: 42.8229 - Accuracy: 0.5000 - F1: 0.4667
sub_9:Test (Best Model) - Loss: 17.6941 - Accuracy: 0.7500 - F1: 0.7490
sub_9:Test (Best Model) - Loss: 13.3265 - Accuracy: 0.7500 - F1: 0.7229
sub_9:Test (Best Model) - Loss: 44.9384 - Accuracy: 0.5000 - F1: 0.4667
sub_9:Test (Best Model) - Loss: 23.3242 - Accuracy: 0.7500 - F1: 0.7490
sub_9:Test (Best Model) - Loss: 9.3719 - Accuracy: 0.8125 - F1: 0.7922
sub_9:Test (Best Model) - Loss: 5.5733 - Accuracy: 0.8438 - F1: 0.8424
sub_9:Test (Best Model) - Loss: 7.9512 - Accuracy: 0.8438 - F1: 0.8359
sub_9:Test (Best Model) - Loss: 23.7279 - Accuracy: 0.7812 - F1: 0.7625
sub_9:Test (Best Model) - Loss: 3.1521 - Accuracy: 0.9062 - F1: 0.9015
sub_10:Test (Best Model) - Loss: 9.9243 - Accuracy: 0.6250 - F1: 0.6000
sub_10:Test (Best Model) - Loss: 2.2412 - Accuracy: 0.8438 - F1: 0.8303
sub_10:Test (Best Model) - Loss: 2.0404 - Accuracy: 0.9062 - F1: 0.9062
sub_10:Test (Best Model) - Loss: 0.9461 - Accuracy: 0.9375 - F1: 0.9373
sub_10:Test (Best Model) - Loss: 9.1362 - Accuracy: 0.7500 - F1: 0.7091
sub_10:Test (Best Model) - Loss: 12.4952 - Accuracy: 0.7188 - F1: 0.6946
sub_10:Test (Best Model) - Loss: 30.6399 - Accuracy: 0.5312 - F1: 0.4910
sub_10:Test (Best Model) - Loss: 10.9512 - Accuracy: 0.7812 - F1: 0.7625
sub_10:Test (Best Model) - Loss: 6.1833 - Accuracy: 0.6250 - F1: 0.5844
sub_10:Test (Best Model) - Loss: 24.8616 - Accuracy: 0.7188 - F1: 0.6811
sub_10:Test (Best Model) - Loss: 16.5699 - Accuracy: 0.6970 - F1: 0.6591
sub_10:Test (Best Model) - Loss: 16.6503 - Accuracy: 0.5455 - F1: 0.5455
sub_10:Test (Best Model) - Loss: 13.7733 - Accuracy: 0.8182 - F1: 0.8036
sub_10:Test (Best Model) - Loss: 33.0459 - Accuracy: 0.8182 - F1: 0.8036
sub_10:Test (Best Model) - Loss: 23.7389 - Accuracy: 0.6970 - F1: 0.6898
sub_11:Test (Best Model) - Loss: 39.3729 - Accuracy: 0.4545 - F1: 0.3864
sub_11:Test (Best Model) - Loss: 42.9982 - Accuracy: 0.3636 - F1: 0.2667
sub_11:Test (Best Model) - Loss: 19.3740 - Accuracy: 0.5455 - F1: 0.5387
sub_11:Test (Best Model) - Loss: 28.8324 - Accuracy: 0.3939 - F1: 0.3797
sub_11:Test (Best Model) - Loss: 34.4844 - Accuracy: 0.3939 - F1: 0.3452
sub_11:Test (Best Model) - Loss: 24.9324 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 19.7566 - Accuracy: 0.5455 - F1: 0.4457
sub_11:Test (Best Model) - Loss: 19.6681 - Accuracy: 0.6061 - F1: 0.5196
sub_11:Test (Best Model) - Loss: 61.5604 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 44.1836 - Accuracy: 0.5152 - F1: 0.3400
sub_11:Test (Best Model) - Loss: 7.7793 - Accuracy: 0.5758 - F1: 0.5722
sub_11:Test (Best Model) - Loss: 10.1561 - Accuracy: 0.6667 - F1: 0.6330
sub_11:Test (Best Model) - Loss: 16.3677 - Accuracy: 0.6061 - F1: 0.5196
sub_11:Test (Best Model) - Loss: 6.9809 - Accuracy: 0.7879 - F1: 0.7847
sub_11:Test (Best Model) - Loss: 33.2999 - Accuracy: 0.5455 - F1: 0.3529
sub_12:Test (Best Model) - Loss: 0.7528 - Accuracy: 0.9062 - F1: 0.9039
sub_12:Test (Best Model) - Loss: 8.7960 - Accuracy: 0.7188 - F1: 0.6632
sub_12:Test (Best Model) - Loss: 4.4985 - Accuracy: 0.8438 - F1: 0.8303
sub_12:Test (Best Model) - Loss: 3.5402 - Accuracy: 0.9688 - F1: 0.9680
sub_12:Test (Best Model) - Loss: 13.1006 - Accuracy: 0.7188 - F1: 0.6632
sub_12:Test (Best Model) - Loss: 20.3797 - Accuracy: 0.7273 - F1: 0.6857
sub_12:Test (Best Model) - Loss: 8.5349 - Accuracy: 0.8182 - F1: 0.8036
sub_12:Test (Best Model) - Loss: 8.9797 - Accuracy: 0.8182 - F1: 0.8036
sub_12:Test (Best Model) - Loss: 25.1563 - Accuracy: 0.8182 - F1: 0.8036
sub_12:Test (Best Model) - Loss: 1.0205 - Accuracy: 0.8788 - F1: 0.8759
sub_12:Test (Best Model) - Loss: 17.0984 - Accuracy: 0.8125 - F1: 0.8095
sub_12:Test (Best Model) - Loss: 10.9718 - Accuracy: 0.7188 - F1: 0.7046
sub_12:Test (Best Model) - Loss: 7.7855 - Accuracy: 0.7188 - F1: 0.7163
sub_12:Test (Best Model) - Loss: 29.1261 - Accuracy: 0.7812 - F1: 0.7519
sub_12:Test (Best Model) - Loss: 35.5121 - Accuracy: 0.8125 - F1: 0.7922
sub_13:Test (Best Model) - Loss: 1.1848 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 2.0638 - Accuracy: 0.9062 - F1: 0.9039
sub_13:Test (Best Model) - Loss: 5.4041 - Accuracy: 0.7500 - F1: 0.7091
sub_13:Test (Best Model) - Loss: 3.4161 - Accuracy: 0.9062 - F1: 0.9015
sub_13:Test (Best Model) - Loss: 2.9965 - Accuracy: 0.9688 - F1: 0.9685
sub_13:Test (Best Model) - Loss: 4.4573 - Accuracy: 0.7879 - F1: 0.7806
sub_13:Test (Best Model) - Loss: 24.6415 - Accuracy: 0.6364 - F1: 0.6071
sub_13:Test (Best Model) - Loss: 1.2019 - Accuracy: 0.9697 - F1: 0.9692
sub_13:Test (Best Model) - Loss: 19.7033 - Accuracy: 0.7273 - F1: 0.6857
sub_13:Test (Best Model) - Loss: 11.3495 - Accuracy: 0.8182 - F1: 0.8036
sub_13:Test (Best Model) - Loss: 23.4620 - Accuracy: 0.5938 - F1: 0.4340
sub_13:Test (Best Model) - Loss: 14.4635 - Accuracy: 0.8438 - F1: 0.8436
sub_13:Test (Best Model) - Loss: 13.2538 - Accuracy: 0.7500 - F1: 0.7091
sub_13:Test (Best Model) - Loss: 8.6876 - Accuracy: 0.7500 - F1: 0.7333
sub_13:Test (Best Model) - Loss: 0.4071 - Accuracy: 0.9062 - F1: 0.9062
sub_14:Test (Best Model) - Loss: 0.6088 - Accuracy: 0.9375 - F1: 0.9365
sub_14:Test (Best Model) - Loss: 2.2858 - Accuracy: 0.8750 - F1: 0.8745
sub_14:Test (Best Model) - Loss: 6.0279 - Accuracy: 0.7500 - F1: 0.7460
sub_14:Test (Best Model) - Loss: 2.7411 - Accuracy: 0.9062 - F1: 0.9039
sub_14:Test (Best Model) - Loss: 6.1287 - Accuracy: 0.7812 - F1: 0.7793
sub_14:Test (Best Model) - Loss: 4.4890 - Accuracy: 0.7812 - F1: 0.7519
sub_14:Test (Best Model) - Loss: 12.3817 - Accuracy: 0.8750 - F1: 0.8730
sub_14:Test (Best Model) - Loss: 18.9688 - Accuracy: 0.7188 - F1: 0.7117
sub_14:Test (Best Model) - Loss: 2.8466 - Accuracy: 0.8438 - F1: 0.8436
sub_14:Test (Best Model) - Loss: 6.4268 - Accuracy: 0.8438 - F1: 0.8303
sub_14:Test (Best Model) - Loss: 11.1149 - Accuracy: 0.8125 - F1: 0.7922
sub_14:Test (Best Model) - Loss: 5.8122 - Accuracy: 0.8438 - F1: 0.8303
sub_14:Test (Best Model) - Loss: 5.3218 - Accuracy: 0.6562 - F1: 0.6559
sub_14:Test (Best Model) - Loss: 1.6362 - Accuracy: 0.9375 - F1: 0.9365
sub_14:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 19.4347 - Accuracy: 0.7500 - F1: 0.7091
sub_15:Test (Best Model) - Loss: 17.2986 - Accuracy: 0.8125 - F1: 0.8057
sub_15:Test (Best Model) - Loss: 7.0108 - Accuracy: 0.9062 - F1: 0.9015
sub_15:Test (Best Model) - Loss: 1.3042 - Accuracy: 0.8750 - F1: 0.8704
sub_15:Test (Best Model) - Loss: 10.4720 - Accuracy: 0.8438 - F1: 0.8303
sub_15:Test (Best Model) - Loss: 1.9196 - Accuracy: 0.8438 - F1: 0.8424
sub_15:Test (Best Model) - Loss: 3.4139 - Accuracy: 0.9062 - F1: 0.9039
sub_15:Test (Best Model) - Loss: 1.0534 - Accuracy: 0.9375 - F1: 0.9373
sub_15:Test (Best Model) - Loss: 4.8080 - Accuracy: 0.8438 - F1: 0.8359
sub_15:Test (Best Model) - Loss: 9.1574 - Accuracy: 0.8125 - F1: 0.7922
sub_15:Test (Best Model) - Loss: 10.3859 - Accuracy: 0.6250 - F1: 0.6113
sub_15:Test (Best Model) - Loss: 15.3252 - Accuracy: 0.5625 - F1: 0.5466
sub_15:Test (Best Model) - Loss: 37.2228 - Accuracy: 0.6250 - F1: 0.6113
sub_15:Test (Best Model) - Loss: 33.4802 - Accuracy: 0.4688 - F1: 0.4555
sub_15:Test (Best Model) - Loss: 40.1022 - Accuracy: 0.4688 - F1: 0.4231
sub_16:Test (Best Model) - Loss: 12.0948 - Accuracy: 0.5625 - F1: 0.5625
sub_16:Test (Best Model) - Loss: 15.0180 - Accuracy: 0.5000 - F1: 0.4667
sub_16:Test (Best Model) - Loss: 10.1604 - Accuracy: 0.5312 - F1: 0.5195
sub_16:Test (Best Model) - Loss: 5.0933 - Accuracy: 0.6250 - F1: 0.5844
sub_16:Test (Best Model) - Loss: 8.0634 - Accuracy: 0.6250 - F1: 0.6113
sub_16:Test (Best Model) - Loss: 10.4514 - Accuracy: 0.6875 - F1: 0.6875
sub_16:Test (Best Model) - Loss: 13.2680 - Accuracy: 0.6562 - F1: 0.6267
sub_16:Test (Best Model) - Loss: 13.5902 - Accuracy: 0.6562 - F1: 0.6532
sub_16:Test (Best Model) - Loss: 21.4022 - Accuracy: 0.6250 - F1: 0.6250
sub_16:Test (Best Model) - Loss: 5.7977 - Accuracy: 0.6562 - F1: 0.6532
sub_16:Test (Best Model) - Loss: 16.9477 - Accuracy: 0.6562 - F1: 0.5883
sub_16:Test (Best Model) - Loss: 11.5876 - Accuracy: 0.5625 - F1: 0.5333
sub_16:Test (Best Model) - Loss: 12.0850 - Accuracy: 0.5312 - F1: 0.5077
sub_16:Test (Best Model) - Loss: 18.4053 - Accuracy: 0.6250 - F1: 0.5362
sub_16:Test (Best Model) - Loss: 6.5440 - Accuracy: 0.5000 - F1: 0.5000
sub_17:Test (Best Model) - Loss: 6.7757 - Accuracy: 0.7273 - F1: 0.7102
sub_17:Test (Best Model) - Loss: 7.8282 - Accuracy: 0.6970 - F1: 0.6827
sub_17:Test (Best Model) - Loss: 5.6863 - Accuracy: 0.6970 - F1: 0.6944
sub_17:Test (Best Model) - Loss: 17.2641 - Accuracy: 0.6364 - F1: 0.5417
sub_17:Test (Best Model) - Loss: 10.4095 - Accuracy: 0.6970 - F1: 0.6898
sub_17:Test (Best Model) - Loss: 33.1869 - Accuracy: 0.4242 - F1: 0.3660
sub_17:Test (Best Model) - Loss: 10.7119 - Accuracy: 0.5152 - F1: 0.4762
sub_17:Test (Best Model) - Loss: 41.9672 - Accuracy: 0.3636 - F1: 0.2667
sub_17:Test (Best Model) - Loss: 8.6589 - Accuracy: 0.7576 - F1: 0.7273
sub_17:Test (Best Model) - Loss: 28.5494 - Accuracy: 0.5455 - F1: 0.5171
sub_17:Test (Best Model) - Loss: 16.6134 - Accuracy: 0.5938 - F1: 0.5901
sub_17:Test (Best Model) - Loss: 22.5425 - Accuracy: 0.7188 - F1: 0.7046
sub_17:Test (Best Model) - Loss: 25.1612 - Accuracy: 0.6250 - F1: 0.6113
sub_17:Test (Best Model) - Loss: 27.0298 - Accuracy: 0.6250 - F1: 0.6235
sub_17:Test (Best Model) - Loss: 10.6341 - Accuracy: 0.7812 - F1: 0.7519
sub_18:Test (Best Model) - Loss: 3.6638 - Accuracy: 0.8788 - F1: 0.8778
sub_18:Test (Best Model) - Loss: 8.6281 - Accuracy: 0.6970 - F1: 0.6827
sub_18:Test (Best Model) - Loss: 3.0248 - Accuracy: 0.9091 - F1: 0.9060
sub_18:Test (Best Model) - Loss: 6.1783 - Accuracy: 0.8182 - F1: 0.8139
sub_18:Test (Best Model) - Loss: 1.1973 - Accuracy: 0.9091 - F1: 0.9077
sub_18:Test (Best Model) - Loss: 10.3594 - Accuracy: 0.8125 - F1: 0.7922
sub_18:Test (Best Model) - Loss: 0.3720 - Accuracy: 0.9688 - F1: 0.9685
sub_18:Test (Best Model) - Loss: 0.6577 - Accuracy: 0.9688 - F1: 0.9680
sub_18:Test (Best Model) - Loss: 9.0388 - Accuracy: 0.7812 - F1: 0.7793
sub_18:Test (Best Model) - Loss: 6.5656 - Accuracy: 0.8750 - F1: 0.8730
sub_18:Test (Best Model) - Loss: 0.0009 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 3.5782 - Accuracy: 0.9375 - F1: 0.9352
sub_18:Test (Best Model) - Loss: 2.6026 - Accuracy: 0.8750 - F1: 0.8667
sub_18:Test (Best Model) - Loss: 1.9258 - Accuracy: 0.9375 - F1: 0.9365
sub_18:Test (Best Model) - Loss: 31.3463 - Accuracy: 0.8438 - F1: 0.8303
sub_19:Test (Best Model) - Loss: 28.9566 - Accuracy: 0.6250 - F1: 0.5000
sub_19:Test (Best Model) - Loss: 24.3242 - Accuracy: 0.6250 - F1: 0.5000
sub_19:Test (Best Model) - Loss: 2.9031 - Accuracy: 0.8125 - F1: 0.8057
sub_19:Test (Best Model) - Loss: 11.2799 - Accuracy: 0.7500 - F1: 0.7091
sub_19:Test (Best Model) - Loss: 20.0989 - Accuracy: 0.6562 - F1: 0.5594
sub_19:Test (Best Model) - Loss: 12.6279 - Accuracy: 0.7500 - F1: 0.7091
sub_19:Test (Best Model) - Loss: 5.9656 - Accuracy: 0.7500 - F1: 0.7333
sub_19:Test (Best Model) - Loss: 13.1060 - Accuracy: 0.6562 - F1: 0.5883
sub_19:Test (Best Model) - Loss: 12.6308 - Accuracy: 0.6875 - F1: 0.6863
sub_19:Test (Best Model) - Loss: 16.1044 - Accuracy: 0.5000 - F1: 0.4921
sub_19:Test (Best Model) - Loss: 18.7625 - Accuracy: 0.6250 - F1: 0.6113
sub_19:Test (Best Model) - Loss: 10.4268 - Accuracy: 0.6562 - F1: 0.6476
sub_19:Test (Best Model) - Loss: 12.7018 - Accuracy: 0.5938 - F1: 0.5733
sub_19:Test (Best Model) - Loss: 29.6722 - Accuracy: 0.4688 - F1: 0.3637
sub_19:Test (Best Model) - Loss: 48.0763 - Accuracy: 0.4375 - F1: 0.4170
sub_20:Test (Best Model) - Loss: 7.6219 - Accuracy: 0.7500 - F1: 0.7500
sub_20:Test (Best Model) - Loss: 6.7873 - Accuracy: 0.7812 - F1: 0.7625
sub_20:Test (Best Model) - Loss: 26.5557 - Accuracy: 0.6250 - F1: 0.5362
sub_20:Test (Best Model) - Loss: 18.1760 - Accuracy: 0.8125 - F1: 0.7922
sub_20:Test (Best Model) - Loss: 16.8151 - Accuracy: 0.8438 - F1: 0.8303
sub_20:Test (Best Model) - Loss: 13.7428 - Accuracy: 0.7188 - F1: 0.7117
sub_20:Test (Best Model) - Loss: 21.7045 - Accuracy: 0.6562 - F1: 0.5883
sub_20:Test (Best Model) - Loss: 10.1032 - Accuracy: 0.7500 - F1: 0.7409
sub_20:Test (Best Model) - Loss: 20.8193 - Accuracy: 0.7188 - F1: 0.6632
sub_20:Test (Best Model) - Loss: 48.6041 - Accuracy: 0.7500 - F1: 0.7091
sub_20:Test (Best Model) - Loss: 28.6649 - Accuracy: 0.6364 - F1: 0.5417
sub_20:Test (Best Model) - Loss: 34.1675 - Accuracy: 0.6970 - F1: 0.6413
sub_20:Test (Best Model) - Loss: 27.5627 - Accuracy: 0.6970 - F1: 0.6413
sub_20:Test (Best Model) - Loss: 32.9141 - Accuracy: 0.7576 - F1: 0.7462
sub_20:Test (Best Model) - Loss: 18.8848 - Accuracy: 0.8182 - F1: 0.8096
sub_21:Test (Best Model) - Loss: 35.2413 - Accuracy: 0.4375 - F1: 0.3766
sub_21:Test (Best Model) - Loss: 34.0060 - Accuracy: 0.3438 - F1: 0.3379
sub_21:Test (Best Model) - Loss: 20.3128 - Accuracy: 0.5312 - F1: 0.4684
sub_21:Test (Best Model) - Loss: 30.7658 - Accuracy: 0.4062 - F1: 0.2889
sub_21:Test (Best Model) - Loss: 19.0605 - Accuracy: 0.5625 - F1: 0.4909
sub_21:Test (Best Model) - Loss: 9.8842 - Accuracy: 0.4688 - F1: 0.4231
sub_21:Test (Best Model) - Loss: 19.2602 - Accuracy: 0.4375 - F1: 0.4375
sub_21:Test (Best Model) - Loss: 16.2105 - Accuracy: 0.5312 - F1: 0.4386
sub_21:Test (Best Model) - Loss: 18.6302 - Accuracy: 0.4688 - F1: 0.3976
sub_21:Test (Best Model) - Loss: 11.6651 - Accuracy: 0.5312 - F1: 0.4684
sub_21:Test (Best Model) - Loss: 13.1422 - Accuracy: 0.4688 - F1: 0.4421
sub_21:Test (Best Model) - Loss: 20.7987 - Accuracy: 0.3438 - F1: 0.2874
sub_21:Test (Best Model) - Loss: 20.2531 - Accuracy: 0.3125 - F1: 0.2874
sub_21:Test (Best Model) - Loss: 19.4784 - Accuracy: 0.4688 - F1: 0.3976
sub_21:Test (Best Model) - Loss: 30.6453 - Accuracy: 0.5312 - F1: 0.5271
sub_22:Test (Best Model) - Loss: 4.1002 - Accuracy: 0.9062 - F1: 0.9062
sub_22:Test (Best Model) - Loss: 1.6362 - Accuracy: 0.8750 - F1: 0.8745
sub_22:Test (Best Model) - Loss: 4.8197 - Accuracy: 0.9062 - F1: 0.9054
sub_22:Test (Best Model) - Loss: 8.5757 - Accuracy: 0.8125 - F1: 0.8125
sub_22:Test (Best Model) - Loss: 30.5140 - Accuracy: 0.8438 - F1: 0.8303
sub_22:Test (Best Model) - Loss: 24.2334 - Accuracy: 0.5758 - F1: 0.4225
sub_22:Test (Best Model) - Loss: 10.3229 - Accuracy: 0.7273 - F1: 0.6857
sub_22:Test (Best Model) - Loss: 4.4993 - Accuracy: 0.8485 - F1: 0.8433
sub_22:Test (Best Model) - Loss: 7.9804 - Accuracy: 0.8485 - F1: 0.8390
sub_22:Test (Best Model) - Loss: 7.5427 - Accuracy: 0.9091 - F1: 0.9060
sub_22:Test (Best Model) - Loss: 7.7068 - Accuracy: 0.8438 - F1: 0.8398
sub_22:Test (Best Model) - Loss: 20.1621 - Accuracy: 0.6250 - F1: 0.6190
sub_22:Test (Best Model) - Loss: 15.3110 - Accuracy: 0.8125 - F1: 0.8057
sub_22:Test (Best Model) - Loss: 2.3421 - Accuracy: 0.9375 - F1: 0.9352
sub_22:Test (Best Model) - Loss: 10.9144 - Accuracy: 0.9375 - F1: 0.9352
sub_23:Test (Best Model) - Loss: 2.2399 - Accuracy: 0.9394 - F1: 0.9380
sub_23:Test (Best Model) - Loss: 8.8572 - Accuracy: 0.7576 - F1: 0.7273
sub_23:Test (Best Model) - Loss: 5.9250 - Accuracy: 0.8182 - F1: 0.8036
sub_23:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 1.8764 - Accuracy: 0.9697 - F1: 0.9692
sub_23:Test (Best Model) - Loss: 8.4288 - Accuracy: 0.7500 - F1: 0.7091
sub_23:Test (Best Model) - Loss: 4.6912 - Accuracy: 0.8125 - F1: 0.8057
sub_23:Test (Best Model) - Loss: 4.6028 - Accuracy: 0.8750 - F1: 0.8745
sub_23:Test (Best Model) - Loss: 37.9161 - Accuracy: 0.8125 - F1: 0.8125
sub_23:Test (Best Model) - Loss: 8.2552 - Accuracy: 0.8125 - F1: 0.8125
sub_23:Test (Best Model) - Loss: 14.5615 - Accuracy: 0.8182 - F1: 0.8036
sub_23:Test (Best Model) - Loss: 16.1364 - Accuracy: 0.8788 - F1: 0.8731
sub_23:Test (Best Model) - Loss: 1.1413 - Accuracy: 0.9697 - F1: 0.9696
sub_23:Test (Best Model) - Loss: 4.0505 - Accuracy: 0.8485 - F1: 0.8390
sub_23:Test (Best Model) - Loss: 11.1584 - Accuracy: 0.9091 - F1: 0.9060
sub_24:Test (Best Model) - Loss: 8.9933 - Accuracy: 0.7188 - F1: 0.7185
sub_24:Test (Best Model) - Loss: 23.2350 - Accuracy: 0.5000 - F1: 0.4182
sub_24:Test (Best Model) - Loss: 12.9362 - Accuracy: 0.5625 - F1: 0.5152
sub_24:Test (Best Model) - Loss: 16.6721 - Accuracy: 0.5625 - F1: 0.3600
sub_24:Test (Best Model) - Loss: 9.2061 - Accuracy: 0.5938 - F1: 0.5901
sub_24:Test (Best Model) - Loss: 6.5139 - Accuracy: 0.7812 - F1: 0.7758
sub_24:Test (Best Model) - Loss: 4.0062 - Accuracy: 0.7500 - F1: 0.7333
sub_24:Test (Best Model) - Loss: 9.0216 - Accuracy: 0.5312 - F1: 0.5077
sub_24:Test (Best Model) - Loss: 10.2278 - Accuracy: 0.5625 - F1: 0.5608
sub_24:Test (Best Model) - Loss: 5.1848 - Accuracy: 0.7500 - F1: 0.7091
sub_24:Test (Best Model) - Loss: 12.4620 - Accuracy: 0.5938 - F1: 0.5393
sub_24:Test (Best Model) - Loss: 13.3479 - Accuracy: 0.5312 - F1: 0.4910
sub_24:Test (Best Model) - Loss: 20.7670 - Accuracy: 0.5000 - F1: 0.5000
sub_24:Test (Best Model) - Loss: 15.1780 - Accuracy: 0.5000 - F1: 0.5000
sub_24:Test (Best Model) - Loss: 16.0355 - Accuracy: 0.5312 - F1: 0.5077
sub_25:Test (Best Model) - Loss: 18.9086 - Accuracy: 0.6061 - F1: 0.5460
sub_25:Test (Best Model) - Loss: 35.2881 - Accuracy: 0.5455 - F1: 0.3529
sub_25:Test (Best Model) - Loss: 8.0164 - Accuracy: 0.7273 - F1: 0.7179
sub_25:Test (Best Model) - Loss: 8.2759 - Accuracy: 0.6667 - F1: 0.6667
sub_25:Test (Best Model) - Loss: 35.5616 - Accuracy: 0.5758 - F1: 0.4225
sub_25:Test (Best Model) - Loss: 24.2357 - Accuracy: 0.6250 - F1: 0.5636
sub_25:Test (Best Model) - Loss: 7.1048 - Accuracy: 0.6562 - F1: 0.6559
sub_25:Test (Best Model) - Loss: 7.5113 - Accuracy: 0.7188 - F1: 0.6811
sub_25:Test (Best Model) - Loss: 12.3692 - Accuracy: 0.6562 - F1: 0.6532
sub_25:Test (Best Model) - Loss: 20.3207 - Accuracy: 0.6875 - F1: 0.6135
sub_25:Test (Best Model) - Loss: 10.0642 - Accuracy: 0.8125 - F1: 0.8095
sub_25:Test (Best Model) - Loss: 14.3290 - Accuracy: 0.5000 - F1: 0.5000
sub_25:Test (Best Model) - Loss: 4.4826 - Accuracy: 0.8125 - F1: 0.8125
sub_25:Test (Best Model) - Loss: 10.6601 - Accuracy: 0.6562 - F1: 0.6532
sub_25:Test (Best Model) - Loss: 6.8464 - Accuracy: 0.7812 - F1: 0.7625
sub_26:Test (Best Model) - Loss: 0.3104 - Accuracy: 0.9697 - F1: 0.9692
sub_26:Test (Best Model) - Loss: 18.5273 - Accuracy: 0.8485 - F1: 0.8390
sub_26:Test (Best Model) - Loss: 0.0237 - Accuracy: 0.9697 - F1: 0.9696
sub_26:Test (Best Model) - Loss: 7.7536 - Accuracy: 0.8788 - F1: 0.8731
sub_26:Test (Best Model) - Loss: 7.7547 - Accuracy: 0.8182 - F1: 0.8036
sub_26:Test (Best Model) - Loss: 59.6873 - Accuracy: 0.4375 - F1: 0.3043
sub_26:Test (Best Model) - Loss: 27.5783 - Accuracy: 0.5938 - F1: 0.5589
sub_26:Test (Best Model) - Loss: 21.0753 - Accuracy: 0.6250 - F1: 0.6000
sub_26:Test (Best Model) - Loss: 12.2461 - Accuracy: 0.7188 - F1: 0.7163
sub_26:Test (Best Model) - Loss: 3.8003 - Accuracy: 0.9375 - F1: 0.9365
sub_26:Test (Best Model) - Loss: 9.3738 - Accuracy: 0.9062 - F1: 0.9015
sub_26:Test (Best Model) - Loss: 2.5465 - Accuracy: 0.9375 - F1: 0.9352
sub_26:Test (Best Model) - Loss: 11.0596 - Accuracy: 0.8438 - F1: 0.8303
sub_26:Test (Best Model) - Loss: 4.5600 - Accuracy: 0.8750 - F1: 0.8704
sub_26:Test (Best Model) - Loss: 1.4128 - Accuracy: 0.9375 - F1: 0.9352
sub_27:Test (Best Model) - Loss: 6.7757 - Accuracy: 0.7273 - F1: 0.7102
sub_27:Test (Best Model) - Loss: 7.8282 - Accuracy: 0.6970 - F1: 0.6827
sub_27:Test (Best Model) - Loss: 5.6863 - Accuracy: 0.6970 - F1: 0.6944
sub_27:Test (Best Model) - Loss: 17.2641 - Accuracy: 0.6364 - F1: 0.5417
sub_27:Test (Best Model) - Loss: 10.4095 - Accuracy: 0.6970 - F1: 0.6898
sub_27:Test (Best Model) - Loss: 33.1869 - Accuracy: 0.4242 - F1: 0.3660
sub_27:Test (Best Model) - Loss: 10.7119 - Accuracy: 0.5152 - F1: 0.4762
sub_27:Test (Best Model) - Loss: 41.9672 - Accuracy: 0.3636 - F1: 0.2667
sub_27:Test (Best Model) - Loss: 8.6589 - Accuracy: 0.7576 - F1: 0.7273
sub_27:Test (Best Model) - Loss: 28.5494 - Accuracy: 0.5455 - F1: 0.5171
sub_27:Test (Best Model) - Loss: 16.6134 - Accuracy: 0.5938 - F1: 0.5901
sub_27:Test (Best Model) - Loss: 22.5425 - Accuracy: 0.7188 - F1: 0.7046
sub_27:Test (Best Model) - Loss: 25.1612 - Accuracy: 0.6250 - F1: 0.6113
sub_27:Test (Best Model) - Loss: 27.0298 - Accuracy: 0.6250 - F1: 0.6235
sub_27:Test (Best Model) - Loss: 10.6341 - Accuracy: 0.7812 - F1: 0.7519
sub_28:Test (Best Model) - Loss: 4.8877 - Accuracy: 0.7500 - F1: 0.7091
sub_28:Test (Best Model) - Loss: 4.2865 - Accuracy: 0.7500 - F1: 0.7500
sub_28:Test (Best Model) - Loss: 15.1173 - Accuracy: 0.5625 - F1: 0.5333
sub_28:Test (Best Model) - Loss: 23.2080 - Accuracy: 0.6562 - F1: 0.6390
sub_28:Test (Best Model) - Loss: 18.8372 - Accuracy: 0.4688 - F1: 0.4555
sub_28:Test (Best Model) - Loss: 72.3951 - Accuracy: 0.4062 - F1: 0.4010
sub_28:Test (Best Model) - Loss: 49.9169 - Accuracy: 0.5625 - F1: 0.5556
sub_28:Test (Best Model) - Loss: 45.2454 - Accuracy: 0.4375 - F1: 0.4353
sub_28:Test (Best Model) - Loss: 39.3020 - Accuracy: 0.5000 - F1: 0.3333
sub_28:Test (Best Model) - Loss: 45.6875 - Accuracy: 0.6250 - F1: 0.5636
sub_28:Test (Best Model) - Loss: 130.7057 - Accuracy: 0.4062 - F1: 0.2889
sub_28:Test (Best Model) - Loss: 22.1777 - Accuracy: 0.4062 - F1: 0.4057
sub_28:Test (Best Model) - Loss: 34.0295 - Accuracy: 0.3750 - F1: 0.3074
sub_28:Test (Best Model) - Loss: 28.3304 - Accuracy: 0.4375 - F1: 0.4170
sub_28:Test (Best Model) - Loss: 28.2120 - Accuracy: 0.3750 - F1: 0.3522
sub_29:Test (Best Model) - Loss: 14.0185 - Accuracy: 0.8750 - F1: 0.8667
sub_29:Test (Best Model) - Loss: 16.5575 - Accuracy: 0.9375 - F1: 0.9365
sub_29:Test (Best Model) - Loss: 43.0862 - Accuracy: 0.8125 - F1: 0.7922
sub_29:Test (Best Model) - Loss: 39.7922 - Accuracy: 0.8125 - F1: 0.7922
sub_29:Test (Best Model) - Loss: 26.2265 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 10.0552 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 17.8505 - Accuracy: 0.8750 - F1: 0.8745
sub_29:Test (Best Model) - Loss: 9.5429 - Accuracy: 0.8438 - F1: 0.8436
sub_29:Test (Best Model) - Loss: 1.1669 - Accuracy: 0.9688 - F1: 0.9680
sub_29:Test (Best Model) - Loss: 10.9440 - Accuracy: 0.9062 - F1: 0.9062
sub_29:Test (Best Model) - Loss: 2.2901 - Accuracy: 0.9091 - F1: 0.9091
sub_29:Test (Best Model) - Loss: 0.9706 - Accuracy: 0.9697 - F1: 0.9696
sub_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 4.9130 - Accuracy: 0.8788 - F1: 0.8787

=== Summary Results ===

acc: 71.84 ± 12.43
F1: 69.22 ± 13.93
acc-in: 85.04 ± 9.19
F1-in: 83.10 ± 11.46
