lr: 0.001
sub_2:Test (Best Model) - Loss: 6.7879 - Accuracy: 0.7576 - F1: 0.7462
sub_3:Test (Best Model) - Loss: 6.2493 - Accuracy: 0.9688 - F1: 0.9680
sub_1:Test (Best Model) - Loss: 22.5507 - Accuracy: 0.8438 - F1: 0.8436
sub_2:Test (Best Model) - Loss: 1.8311 - Accuracy: 0.7879 - F1: 0.7847
sub_3:Test (Best Model) - Loss: 61.5893 - Accuracy: 0.9375 - F1: 0.9365
sub_2:Test (Best Model) - Loss: 1.9190 - Accuracy: 0.7273 - F1: 0.7263
sub_3:Test (Best Model) - Loss: 45.2158 - Accuracy: 0.9375 - F1: 0.9352
sub_1:Test (Best Model) - Loss: 0.9889 - Accuracy: 0.8750 - F1: 0.8704
sub_2:Test (Best Model) - Loss: 2.4515 - Accuracy: 0.7576 - F1: 0.7462
sub_3:Test (Best Model) - Loss: 21.6996 - Accuracy: 0.8750 - F1: 0.8730
sub_1:Test (Best Model) - Loss: 0.2286 - Accuracy: 0.9688 - F1: 0.9680
sub_2:Test (Best Model) - Loss: 1.9440 - Accuracy: 0.6970 - F1: 0.6944
sub_3:Test (Best Model) - Loss: 42.5225 - Accuracy: 0.9688 - F1: 0.9680
sub_1:Test (Best Model) - Loss: 0.3337 - Accuracy: 0.9375 - F1: 0.9365
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 2.1642 - Accuracy: 0.9062 - F1: 0.9062
sub_1:Test (Best Model) - Loss: 0.1559 - Accuracy: 0.9375 - F1: 0.9373
sub_3:Test (Best Model) - Loss: 0.2177 - Accuracy: 0.9697 - F1: 0.9692
sub_1:Test (Best Model) - Loss: 0.5443 - Accuracy: 0.9697 - F1: 0.9692
sub_3:Test (Best Model) - Loss: 0.3590 - Accuracy: 0.9394 - F1: 0.9389
sub_2:Test (Best Model) - Loss: 4.3526 - Accuracy: 0.9688 - F1: 0.9685
sub_3:Test (Best Model) - Loss: 0.8496 - Accuracy: 0.9697 - F1: 0.9696
sub_1:Test (Best Model) - Loss: 0.8981 - Accuracy: 0.9394 - F1: 0.9380
sub_2:Test (Best Model) - Loss: 0.5214 - Accuracy: 0.8750 - F1: 0.8750
sub_3:Test (Best Model) - Loss: 0.5527 - Accuracy: 0.9394 - F1: 0.9380
sub_1:Test (Best Model) - Loss: 0.8246 - Accuracy: 0.9394 - F1: 0.9380
sub_1:Test (Best Model) - Loss: 0.5121 - Accuracy: 0.9697 - F1: 0.9692
sub_2:Test (Best Model) - Loss: 2.5278 - Accuracy: 0.7500 - F1: 0.7460
sub_3:Test (Best Model) - Loss: 15.5395 - Accuracy: 0.8788 - F1: 0.8759
sub_2:Test (Best Model) - Loss: 2.6929 - Accuracy: 0.8750 - F1: 0.8750
sub_3:Test (Best Model) - Loss: 2.4743 - Accuracy: 0.9091 - F1: 0.9060
sub_1:Test (Best Model) - Loss: 0.4970 - Accuracy: 0.9697 - F1: 0.9692
sub_3:Test (Best Model) - Loss: 5.7254 - Accuracy: 0.8182 - F1: 0.8167
sub_1:Test (Best Model) - Loss: 15.7906 - Accuracy: 0.8125 - F1: 0.8118
sub_2:Test (Best Model) - Loss: 6.5553 - Accuracy: 0.4242 - F1: 0.2979
sub_3:Test (Best Model) - Loss: 6.9745 - Accuracy: 0.8788 - F1: 0.8731
sub_1:Test (Best Model) - Loss: 1.7983 - Accuracy: 0.9062 - F1: 0.9062
sub_2:Test (Best Model) - Loss: 2.8221 - Accuracy: 0.8182 - F1: 0.8139
sub_3:Test (Best Model) - Loss: 17.0340 - Accuracy: 0.8485 - F1: 0.8390
sub_1:Test (Best Model) - Loss: 0.5423 - Accuracy: 0.9375 - F1: 0.9373
sub_2:Test (Best Model) - Loss: 5.3839 - Accuracy: 0.5152 - F1: 0.4261
sub_1:Test (Best Model) - Loss: 0.5101 - Accuracy: 0.9062 - F1: 0.9062
sub_2:Test (Best Model) - Loss: 26.2768 - Accuracy: 0.4242 - F1: 0.2979
sub_1:Test (Best Model) - Loss: 1.1714 - Accuracy: 0.9375 - F1: 0.9373
sub_2:Test (Best Model) - Loss: 2.8420 - Accuracy: 0.6364 - F1: 0.6278
sub_5:Test (Best Model) - Loss: 0.4818 - Accuracy: 0.9062 - F1: 0.9062
sub_4:Test (Best Model) - Loss: 0.6116 - Accuracy: 0.9091 - F1: 0.9060
sub_4:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.8788 - F1: 0.8778
sub_6:Test (Best Model) - Loss: 0.5905 - Accuracy: 0.8438 - F1: 0.8436
sub_5:Test (Best Model) - Loss: 0.9659 - Accuracy: 0.9375 - F1: 0.9352
sub_6:Test (Best Model) - Loss: 16.9537 - Accuracy: 0.6250 - F1: 0.6113
sub_4:Test (Best Model) - Loss: 1.4392 - Accuracy: 0.8788 - F1: 0.8759
sub_5:Test (Best Model) - Loss: 0.8134 - Accuracy: 0.9375 - F1: 0.9352
sub_4:Test (Best Model) - Loss: 0.1963 - Accuracy: 0.9394 - F1: 0.9380
sub_6:Test (Best Model) - Loss: 3.6391 - Accuracy: 0.8438 - F1: 0.8436
sub_5:Test (Best Model) - Loss: 1.0297 - Accuracy: 0.9062 - F1: 0.9015
sub_5:Test (Best Model) - Loss: 1.0299 - Accuracy: 0.9062 - F1: 0.9015
sub_4:Test (Best Model) - Loss: 1.4982 - Accuracy: 0.8788 - F1: 0.8759
sub_6:Test (Best Model) - Loss: 3.6185 - Accuracy: 0.8125 - F1: 0.8125
sub_5:Test (Best Model) - Loss: 6.6133 - Accuracy: 0.8125 - F1: 0.8118
sub_4:Test (Best Model) - Loss: 7.5275 - Accuracy: 0.8182 - F1: 0.8167
sub_6:Test (Best Model) - Loss: 0.9001 - Accuracy: 0.7500 - F1: 0.7460
sub_4:Test (Best Model) - Loss: 1.2981 - Accuracy: 0.8182 - F1: 0.8167
sub_5:Test (Best Model) - Loss: 15.5872 - Accuracy: 0.6875 - F1: 0.6761
sub_6:Test (Best Model) - Loss: 4.8248 - Accuracy: 0.6364 - F1: 0.6360
sub_4:Test (Best Model) - Loss: 10.0326 - Accuracy: 0.7273 - F1: 0.7263
sub_6:Test (Best Model) - Loss: 1.1360 - Accuracy: 0.7273 - F1: 0.6997
sub_5:Test (Best Model) - Loss: 5.4873 - Accuracy: 0.8438 - F1: 0.8436
sub_5:Test (Best Model) - Loss: 6.6120 - Accuracy: 0.8438 - F1: 0.8436
sub_6:Test (Best Model) - Loss: 4.7113 - Accuracy: 0.7576 - F1: 0.7574
sub_5:Test (Best Model) - Loss: 7.5332 - Accuracy: 0.7812 - F1: 0.7793
sub_4:Test (Best Model) - Loss: 1.8668 - Accuracy: 0.7879 - F1: 0.7879
sub_5:Test (Best Model) - Loss: 0.6724 - Accuracy: 0.8438 - F1: 0.8398
sub_4:Test (Best Model) - Loss: 1.8700 - Accuracy: 0.9091 - F1: 0.9060
sub_6:Test (Best Model) - Loss: 1.1663 - Accuracy: 0.7879 - F1: 0.7871
sub_5:Test (Best Model) - Loss: 2.4238 - Accuracy: 0.9062 - F1: 0.9039
sub_5:Test (Best Model) - Loss: 1.0404 - Accuracy: 0.8438 - F1: 0.8398
sub_6:Test (Best Model) - Loss: 7.4403 - Accuracy: 0.5758 - F1: 0.5722
sub_4:Test (Best Model) - Loss: 2.3873 - Accuracy: 0.7273 - F1: 0.7273
sub_5:Test (Best Model) - Loss: 1.3766 - Accuracy: 0.8438 - F1: 0.8303
sub_6:Test (Best Model) - Loss: 2.2058 - Accuracy: 0.9091 - F1: 0.9088
sub_4:Test (Best Model) - Loss: 0.8671 - Accuracy: 0.9091 - F1: 0.9060
sub_5:Test (Best Model) - Loss: 1.8299 - Accuracy: 0.7500 - F1: 0.7500
sub_6:Test (Best Model) - Loss: 5.3410 - Accuracy: 0.8182 - F1: 0.8180
sub_4:Test (Best Model) - Loss: 3.2835 - Accuracy: 0.6364 - F1: 0.6360
sub_6:Test (Best Model) - Loss: 4.6826 - Accuracy: 0.9091 - F1: 0.9091
sub_4:Test (Best Model) - Loss: 9.2794 - Accuracy: 0.4848 - F1: 0.4772
sub_6:Test (Best Model) - Loss: 2.0113 - Accuracy: 0.8182 - F1: 0.8167
sub_4:Test (Best Model) - Loss: 3.2219 - Accuracy: 0.8182 - F1: 0.8180
sub_6:Test (Best Model) - Loss: 3.6058 - Accuracy: 0.8182 - F1: 0.8180
sub_9:Test (Best Model) - Loss: 1.6358 - Accuracy: 0.7812 - F1: 0.7810
sub_7:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 1.2601 - Accuracy: 0.8438 - F1: 0.8436
sub_8:Test (Best Model) - Loss: 0.9631 - Accuracy: 0.8125 - F1: 0.8118
sub_7:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.9931 - Accuracy: 0.6875 - F1: 0.6761
sub_9:Test (Best Model) - Loss: 2.3504 - Accuracy: 0.8125 - F1: 0.8125
sub_7:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 1.2833 - Accuracy: 0.8125 - F1: 0.8057
sub_8:Test (Best Model) - Loss: 1.4460 - Accuracy: 0.8125 - F1: 0.8118
sub_7:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 3.3738 - Accuracy: 0.8438 - F1: 0.8436
sub_8:Test (Best Model) - Loss: 3.0734 - Accuracy: 0.6562 - F1: 0.6390
sub_7:Test (Best Model) - Loss: 5.1668 - Accuracy: 0.8750 - F1: 0.8667
sub_9:Test (Best Model) - Loss: 0.0768 - Accuracy: 0.9688 - F1: 0.9685
sub_7:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.1644 - Accuracy: 0.9375 - F1: 0.9365
sub_8:Test (Best Model) - Loss: 4.9650 - Accuracy: 0.6250 - F1: 0.6113
sub_8:Test (Best Model) - Loss: 10.3229 - Accuracy: 0.7500 - F1: 0.7091
sub_9:Test (Best Model) - Loss: 0.0648 - Accuracy: 0.9688 - F1: 0.9685
sub_7:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 4.3950 - Accuracy: 0.8438 - F1: 0.8424
sub_7:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0712 - Accuracy: 0.9688 - F1: 0.9680
sub_7:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 10.2113 - Accuracy: 0.8125 - F1: 0.8118
sub_9:Test (Best Model) - Loss: 0.1125 - Accuracy: 0.9062 - F1: 0.9039
sub_8:Test (Best Model) - Loss: 10.7924 - Accuracy: 0.8438 - F1: 0.8424
sub_7:Test (Best Model) - Loss: 3.2426 - Accuracy: 0.9062 - F1: 0.9015
sub_9:Test (Best Model) - Loss: 3.3170 - Accuracy: 0.8750 - F1: 0.8750
sub_7:Test (Best Model) - Loss: 5.6754 - Accuracy: 0.8750 - F1: 0.8667
sub_8:Test (Best Model) - Loss: 7.6648 - Accuracy: 0.9688 - F1: 0.9680
sub_9:Test (Best Model) - Loss: 0.5744 - Accuracy: 0.8438 - F1: 0.8424
sub_9:Test (Best Model) - Loss: 0.6425 - Accuracy: 0.8438 - F1: 0.8424
sub_7:Test (Best Model) - Loss: 4.4170 - Accuracy: 0.8750 - F1: 0.8667
sub_8:Test (Best Model) - Loss: 0.8166 - Accuracy: 0.9062 - F1: 0.9039
sub_7:Test (Best Model) - Loss: 4.2091 - Accuracy: 0.9062 - F1: 0.9039
sub_9:Test (Best Model) - Loss: 2.3171 - Accuracy: 0.6562 - F1: 0.6559
sub_7:Test (Best Model) - Loss: 4.6208 - Accuracy: 0.8750 - F1: 0.8667
sub_8:Test (Best Model) - Loss: 2.0378 - Accuracy: 0.9062 - F1: 0.9015
sub_9:Test (Best Model) - Loss: 1.3504 - Accuracy: 0.8125 - F1: 0.8000
sub_8:Test (Best Model) - Loss: 2.5627 - Accuracy: 0.9062 - F1: 0.9015
sub_8:Test (Best Model) - Loss: 6.3899 - Accuracy: 0.9375 - F1: 0.9352
sub_8:Test (Best Model) - Loss: 3.9724 - Accuracy: 0.7500 - F1: 0.7490
sub_10:Test (Best Model) - Loss: 6.9136 - Accuracy: 0.8125 - F1: 0.8118
sub_12:Test (Best Model) - Loss: 7.4803 - Accuracy: 0.6562 - F1: 0.6532
sub_11:Test (Best Model) - Loss: 8.3737 - Accuracy: 0.4848 - F1: 0.4063
sub_10:Test (Best Model) - Loss: 1.0930 - Accuracy: 0.8750 - F1: 0.8745
sub_12:Test (Best Model) - Loss: 0.2037 - Accuracy: 0.9062 - F1: 0.9054
sub_11:Test (Best Model) - Loss: 2.2960 - Accuracy: 0.7576 - F1: 0.7556
sub_10:Test (Best Model) - Loss: 2.7772 - Accuracy: 0.8438 - F1: 0.8436
sub_12:Test (Best Model) - Loss: 1.3406 - Accuracy: 0.9062 - F1: 0.9015
sub_11:Test (Best Model) - Loss: 14.7563 - Accuracy: 0.6061 - F1: 0.5815
sub_10:Test (Best Model) - Loss: 10.1361 - Accuracy: 0.8125 - F1: 0.8000
sub_12:Test (Best Model) - Loss: 1.7304 - Accuracy: 0.8438 - F1: 0.8398
sub_10:Test (Best Model) - Loss: 2.7707 - Accuracy: 0.8750 - F1: 0.8667
sub_11:Test (Best Model) - Loss: 14.3368 - Accuracy: 0.6364 - F1: 0.6360
sub_12:Test (Best Model) - Loss: 0.3637 - Accuracy: 0.9062 - F1: 0.9054
sub_11:Test (Best Model) - Loss: 3.8963 - Accuracy: 0.6061 - F1: 0.5815
sub_10:Test (Best Model) - Loss: 12.1894 - Accuracy: 0.9375 - F1: 0.9365
sub_12:Test (Best Model) - Loss: 1.4065 - Accuracy: 0.8485 - F1: 0.8462
sub_11:Test (Best Model) - Loss: 1.0935 - Accuracy: 0.8182 - F1: 0.8096
sub_10:Test (Best Model) - Loss: 2.1292 - Accuracy: 0.9375 - F1: 0.9352
sub_12:Test (Best Model) - Loss: 2.6295 - Accuracy: 0.8788 - F1: 0.8759
sub_10:Test (Best Model) - Loss: 12.9982 - Accuracy: 0.8125 - F1: 0.7922
sub_11:Test (Best Model) - Loss: 1.0605 - Accuracy: 0.8788 - F1: 0.8778
sub_12:Test (Best Model) - Loss: 4.4777 - Accuracy: 0.7879 - F1: 0.7746
sub_10:Test (Best Model) - Loss: 3.9611 - Accuracy: 0.8438 - F1: 0.8303
sub_11:Test (Best Model) - Loss: 0.9544 - Accuracy: 0.8182 - F1: 0.8139
sub_12:Test (Best Model) - Loss: 1.3216 - Accuracy: 0.8788 - F1: 0.8759
sub_10:Test (Best Model) - Loss: 181.7634 - Accuracy: 0.6250 - F1: 0.5000
sub_11:Test (Best Model) - Loss: 1.5461 - Accuracy: 0.7273 - F1: 0.7179
sub_12:Test (Best Model) - Loss: 8.6372 - Accuracy: 0.6667 - F1: 0.6159
sub_10:Test (Best Model) - Loss: 11.2614 - Accuracy: 0.9091 - F1: 0.9060
sub_12:Test (Best Model) - Loss: 46.4964 - Accuracy: 0.4688 - F1: 0.4682
sub_11:Test (Best Model) - Loss: 0.4507 - Accuracy: 0.8788 - F1: 0.8778
sub_10:Test (Best Model) - Loss: 15.2266 - Accuracy: 0.7576 - F1: 0.7273
sub_10:Test (Best Model) - Loss: 1.4671 - Accuracy: 0.9697 - F1: 0.9692
sub_12:Test (Best Model) - Loss: 2.6977 - Accuracy: 0.7812 - F1: 0.7810
sub_11:Test (Best Model) - Loss: 3.9614 - Accuracy: 0.7576 - F1: 0.7519
sub_10:Test (Best Model) - Loss: 1.8638 - Accuracy: 0.9091 - F1: 0.9060
sub_12:Test (Best Model) - Loss: 3.2772 - Accuracy: 0.7812 - F1: 0.7810
sub_11:Test (Best Model) - Loss: 0.7297 - Accuracy: 0.8485 - F1: 0.8485
sub_10:Test (Best Model) - Loss: 4.0891 - Accuracy: 0.9394 - F1: 0.9380
sub_12:Test (Best Model) - Loss: 8.8318 - Accuracy: 0.7188 - F1: 0.7163
sub_11:Test (Best Model) - Loss: 0.2561 - Accuracy: 0.9394 - F1: 0.9389
sub_12:Test (Best Model) - Loss: 7.1868 - Accuracy: 0.8125 - F1: 0.8118
sub_11:Test (Best Model) - Loss: 1.2214 - Accuracy: 0.8485 - F1: 0.8433
sub_11:Test (Best Model) - Loss: 1.8747 - Accuracy: 0.9697 - F1: 0.9696
sub_15:Test (Best Model) - Loss: 34.8347 - Accuracy: 0.7812 - F1: 0.7793
sub_13:Test (Best Model) - Loss: 1.1717 - Accuracy: 0.9062 - F1: 0.9015
sub_14:Test (Best Model) - Loss: 25.7872 - Accuracy: 0.5625 - F1: 0.4167
sub_15:Test (Best Model) - Loss: 16.3943 - Accuracy: 0.8125 - F1: 0.8118
sub_14:Test (Best Model) - Loss: 18.4298 - Accuracy: 0.6250 - F1: 0.6250
sub_15:Test (Best Model) - Loss: 72.7499 - Accuracy: 0.6562 - F1: 0.6532
sub_13:Test (Best Model) - Loss: 0.1838 - Accuracy: 0.9375 - F1: 0.9352
sub_15:Test (Best Model) - Loss: 23.2054 - Accuracy: 0.7188 - F1: 0.7185
sub_13:Test (Best Model) - Loss: 0.2673 - Accuracy: 0.9375 - F1: 0.9373
sub_14:Test (Best Model) - Loss: 9.7279 - Accuracy: 0.6562 - F1: 0.6390
sub_15:Test (Best Model) - Loss: 46.3364 - Accuracy: 0.6250 - F1: 0.6250
sub_13:Test (Best Model) - Loss: 0.0926 - Accuracy: 0.9688 - F1: 0.9680
sub_15:Test (Best Model) - Loss: 1.7253 - Accuracy: 0.9062 - F1: 0.9062
sub_14:Test (Best Model) - Loss: 2.7740 - Accuracy: 0.7188 - F1: 0.7185
sub_15:Test (Best Model) - Loss: 0.7943 - Accuracy: 0.9375 - F1: 0.9365
sub_13:Test (Best Model) - Loss: 0.0948 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 19.1872 - Accuracy: 0.6875 - F1: 0.6537
sub_15:Test (Best Model) - Loss: 0.0264 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 13.5379 - Accuracy: 0.9091 - F1: 0.9060
sub_14:Test (Best Model) - Loss: 0.7246 - Accuracy: 0.8438 - F1: 0.8436
sub_13:Test (Best Model) - Loss: 1.0941 - Accuracy: 0.8788 - F1: 0.8731
sub_15:Test (Best Model) - Loss: 2.2676 - Accuracy: 0.9375 - F1: 0.9365
sub_14:Test (Best Model) - Loss: 0.4804 - Accuracy: 0.9062 - F1: 0.9054
sub_15:Test (Best Model) - Loss: 0.0007 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 7.3943 - Accuracy: 0.7576 - F1: 0.7519
sub_14:Test (Best Model) - Loss: 2.2871 - Accuracy: 0.7500 - F1: 0.7500
sub_13:Test (Best Model) - Loss: 2.0059 - Accuracy: 0.8485 - F1: 0.8390
sub_15:Test (Best Model) - Loss: 13.9355 - Accuracy: 0.8750 - F1: 0.8745
sub_15:Test (Best Model) - Loss: 8.5323 - Accuracy: 0.9062 - F1: 0.9054
sub_14:Test (Best Model) - Loss: 1.6426 - Accuracy: 0.8438 - F1: 0.8436
sub_13:Test (Best Model) - Loss: 0.7661 - Accuracy: 0.8485 - F1: 0.8390
sub_15:Test (Best Model) - Loss: 6.6497 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 0.6522 - Accuracy: 0.8125 - F1: 0.8125
sub_13:Test (Best Model) - Loss: 70.8532 - Accuracy: 0.7500 - F1: 0.7500
sub_15:Test (Best Model) - Loss: 13.9260 - Accuracy: 0.9375 - F1: 0.9365
sub_14:Test (Best Model) - Loss: 0.7572 - Accuracy: 0.9062 - F1: 0.9015
sub_13:Test (Best Model) - Loss: 5.7391 - Accuracy: 0.8438 - F1: 0.8436
sub_15:Test (Best Model) - Loss: 13.8857 - Accuracy: 0.9062 - F1: 0.9039
sub_14:Test (Best Model) - Loss: 0.2703 - Accuracy: 0.8750 - F1: 0.8750
sub_13:Test (Best Model) - Loss: 6.3220 - Accuracy: 0.9375 - F1: 0.9365
sub_14:Test (Best Model) - Loss: 0.3440 - Accuracy: 0.9375 - F1: 0.9352
sub_13:Test (Best Model) - Loss: 180.8263 - Accuracy: 0.7500 - F1: 0.7500
sub_14:Test (Best Model) - Loss: 0.1733 - Accuracy: 0.9375 - F1: 0.9352
sub_13:Test (Best Model) - Loss: 7.4688 - Accuracy: 0.9375 - F1: 0.9365
sub_14:Test (Best Model) - Loss: 0.5396 - Accuracy: 0.8125 - F1: 0.8057
sub_17:Test (Best Model) - Loss: 1.1284 - Accuracy: 0.9091 - F1: 0.9088
sub_16:Test (Best Model) - Loss: 2.7513 - Accuracy: 0.8125 - F1: 0.8000
sub_17:Test (Best Model) - Loss: 1.3654 - Accuracy: 0.8485 - F1: 0.8462
sub_18:Test (Best Model) - Loss: 0.0645 - Accuracy: 0.9697 - F1: 0.9692
sub_16:Test (Best Model) - Loss: 1.9360 - Accuracy: 0.8125 - F1: 0.8000
sub_17:Test (Best Model) - Loss: 1.9011 - Accuracy: 0.8788 - F1: 0.8778
sub_18:Test (Best Model) - Loss: 0.1255 - Accuracy: 0.9697 - F1: 0.9692
sub_17:Test (Best Model) - Loss: 9.2523 - Accuracy: 0.8788 - F1: 0.8787
sub_18:Test (Best Model) - Loss: 0.5229 - Accuracy: 0.8788 - F1: 0.8759
sub_17:Test (Best Model) - Loss: 3.0101 - Accuracy: 0.9091 - F1: 0.9088
sub_16:Test (Best Model) - Loss: 1.7375 - Accuracy: 0.8438 - F1: 0.8359
sub_18:Test (Best Model) - Loss: 1.0754 - Accuracy: 0.8788 - F1: 0.8731
sub_17:Test (Best Model) - Loss: 0.0955 - Accuracy: 0.9697 - F1: 0.9696
sub_16:Test (Best Model) - Loss: 0.7024 - Accuracy: 0.7188 - F1: 0.7046
sub_18:Test (Best Model) - Loss: 0.2717 - Accuracy: 0.9394 - F1: 0.9389
sub_17:Test (Best Model) - Loss: 0.0282 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.8706 - Accuracy: 0.9375 - F1: 0.9373
sub_18:Test (Best Model) - Loss: 4.8497 - Accuracy: 0.7812 - F1: 0.7810
sub_17:Test (Best Model) - Loss: 0.0457 - Accuracy: 0.9697 - F1: 0.9696
sub_16:Test (Best Model) - Loss: 5.7299 - Accuracy: 0.7500 - F1: 0.7490
sub_17:Test (Best Model) - Loss: 1.6118 - Accuracy: 0.8788 - F1: 0.8787
sub_18:Test (Best Model) - Loss: 2.5305 - Accuracy: 0.7812 - F1: 0.7793
sub_16:Test (Best Model) - Loss: 8.1046 - Accuracy: 0.5938 - F1: 0.5901
sub_18:Test (Best Model) - Loss: 3.4851 - Accuracy: 0.7812 - F1: 0.7793
sub_17:Test (Best Model) - Loss: 0.0595 - Accuracy: 0.9697 - F1: 0.9692
sub_18:Test (Best Model) - Loss: 0.7391 - Accuracy: 0.9062 - F1: 0.9054
sub_16:Test (Best Model) - Loss: 3.4466 - Accuracy: 0.7188 - F1: 0.7117
sub_17:Test (Best Model) - Loss: 12.7946 - Accuracy: 0.9375 - F1: 0.9352
sub_16:Test (Best Model) - Loss: 1.1629 - Accuracy: 0.7812 - F1: 0.7810
sub_18:Test (Best Model) - Loss: 0.5094 - Accuracy: 0.9062 - F1: 0.9062
sub_17:Test (Best Model) - Loss: 13.7570 - Accuracy: 0.9062 - F1: 0.9039
sub_17:Test (Best Model) - Loss: 11.9170 - Accuracy: 0.8750 - F1: 0.8704
sub_16:Test (Best Model) - Loss: 3.5438 - Accuracy: 0.6875 - F1: 0.6875
sub_18:Test (Best Model) - Loss: 0.8507 - Accuracy: 0.9688 - F1: 0.9685
sub_16:Test (Best Model) - Loss: 0.3993 - Accuracy: 0.9062 - F1: 0.9054
sub_17:Test (Best Model) - Loss: 19.8090 - Accuracy: 0.8750 - F1: 0.8730
sub_18:Test (Best Model) - Loss: 0.9685 - Accuracy: 0.9688 - F1: 0.9685
sub_17:Test (Best Model) - Loss: 23.8000 - Accuracy: 0.9375 - F1: 0.9352
sub_16:Test (Best Model) - Loss: 0.6297 - Accuracy: 0.9375 - F1: 0.9365
sub_18:Test (Best Model) - Loss: 1.4971 - Accuracy: 0.8125 - F1: 0.8095
sub_16:Test (Best Model) - Loss: 0.6423 - Accuracy: 0.9688 - F1: 0.9685
sub_18:Test (Best Model) - Loss: 3.6064 - Accuracy: 0.9062 - F1: 0.9054
sub_16:Test (Best Model) - Loss: 0.8602 - Accuracy: 0.9062 - F1: 0.9054
sub_18:Test (Best Model) - Loss: 4.5360 - Accuracy: 0.8750 - F1: 0.8745
sub_16:Test (Best Model) - Loss: 0.5376 - Accuracy: 0.9375 - F1: 0.9373
sub_20:Test (Best Model) - Loss: 5.1671 - Accuracy: 0.5938 - F1: 0.5733
sub_19:Test (Best Model) - Loss: 18.1400 - Accuracy: 0.5938 - F1: 0.5589
sub_19:Test (Best Model) - Loss: 9.3464 - Accuracy: 0.5938 - F1: 0.5589
sub_21:Test (Best Model) - Loss: 0.2525 - Accuracy: 0.9688 - F1: 0.9680
sub_20:Test (Best Model) - Loss: 1.5475 - Accuracy: 0.7500 - F1: 0.7490
sub_19:Test (Best Model) - Loss: 4.9543 - Accuracy: 0.5938 - F1: 0.5589
sub_21:Test (Best Model) - Loss: 0.8782 - Accuracy: 0.8750 - F1: 0.8730
sub_20:Test (Best Model) - Loss: 1.6320 - Accuracy: 0.6250 - F1: 0.6190
sub_19:Test (Best Model) - Loss: 6.4157 - Accuracy: 0.5938 - F1: 0.5733
sub_21:Test (Best Model) - Loss: 0.1854 - Accuracy: 0.9688 - F1: 0.9680
sub_19:Test (Best Model) - Loss: 30.9307 - Accuracy: 0.5000 - F1: 0.4182
sub_20:Test (Best Model) - Loss: 3.0231 - Accuracy: 0.6250 - F1: 0.6235
sub_19:Test (Best Model) - Loss: 9.6692 - Accuracy: 0.7500 - F1: 0.7460
sub_20:Test (Best Model) - Loss: 1.3220 - Accuracy: 0.5938 - F1: 0.5836
sub_21:Test (Best Model) - Loss: 3.2117 - Accuracy: 0.8125 - F1: 0.8118
sub_19:Test (Best Model) - Loss: 1.1682 - Accuracy: 0.8438 - F1: 0.8436
sub_21:Test (Best Model) - Loss: 1.3155 - Accuracy: 0.9375 - F1: 0.9365
sub_20:Test (Best Model) - Loss: 1.0736 - Accuracy: 0.7188 - F1: 0.7117
sub_19:Test (Best Model) - Loss: 1.2889 - Accuracy: 0.8750 - F1: 0.8750
sub_21:Test (Best Model) - Loss: 35.2737 - Accuracy: 0.8125 - F1: 0.8057
sub_20:Test (Best Model) - Loss: 0.8788 - Accuracy: 0.8438 - F1: 0.8359
sub_19:Test (Best Model) - Loss: 0.8237 - Accuracy: 0.9062 - F1: 0.9062
sub_21:Test (Best Model) - Loss: 42.6098 - Accuracy: 0.9062 - F1: 0.9054
sub_19:Test (Best Model) - Loss: 1.7981 - Accuracy: 0.8125 - F1: 0.8118
sub_20:Test (Best Model) - Loss: 0.3493 - Accuracy: 0.9688 - F1: 0.9680
sub_21:Test (Best Model) - Loss: 14.5146 - Accuracy: 0.8438 - F1: 0.8398
sub_19:Test (Best Model) - Loss: 17.7112 - Accuracy: 0.7812 - F1: 0.7793
sub_20:Test (Best Model) - Loss: 0.8841 - Accuracy: 0.8438 - F1: 0.8303
sub_21:Test (Best Model) - Loss: 16.8926 - Accuracy: 0.8125 - F1: 0.8057
sub_19:Test (Best Model) - Loss: 1.7172 - Accuracy: 0.8438 - F1: 0.8436
sub_20:Test (Best Model) - Loss: 0.2828 - Accuracy: 0.9062 - F1: 0.9015
sub_19:Test (Best Model) - Loss: 0.5322 - Accuracy: 0.9062 - F1: 0.9054
sub_21:Test (Best Model) - Loss: 6.7564 - Accuracy: 0.8438 - F1: 0.8398
sub_20:Test (Best Model) - Loss: 34.1695 - Accuracy: 0.5152 - F1: 0.4545
sub_21:Test (Best Model) - Loss: 1.9371 - Accuracy: 0.5625 - F1: 0.5466
sub_19:Test (Best Model) - Loss: 1.1266 - Accuracy: 0.8125 - F1: 0.8125
sub_20:Test (Best Model) - Loss: 10.4637 - Accuracy: 0.6061 - F1: 0.6002
sub_21:Test (Best Model) - Loss: 5.1239 - Accuracy: 0.5938 - F1: 0.5901
sub_19:Test (Best Model) - Loss: 2.3728 - Accuracy: 0.8750 - F1: 0.8745
sub_20:Test (Best Model) - Loss: 11.8333 - Accuracy: 0.6061 - F1: 0.6002
sub_21:Test (Best Model) - Loss: 7.2813 - Accuracy: 0.5938 - F1: 0.5836
sub_20:Test (Best Model) - Loss: 7.4282 - Accuracy: 0.5758 - F1: 0.5722
sub_21:Test (Best Model) - Loss: 1.1798 - Accuracy: 0.7188 - F1: 0.7163
sub_20:Test (Best Model) - Loss: 15.2107 - Accuracy: 0.5758 - F1: 0.5722
sub_21:Test (Best Model) - Loss: 2.3152 - Accuracy: 0.5625 - F1: 0.5556
sub_23:Test (Best Model) - Loss: 6.1394 - Accuracy: 0.8485 - F1: 0.8479
sub_24:Test (Best Model) - Loss: 14.5327 - Accuracy: 0.8125 - F1: 0.7922
sub_22:Test (Best Model) - Loss: 0.9740 - Accuracy: 0.8750 - F1: 0.8667
sub_23:Test (Best Model) - Loss: 0.4167 - Accuracy: 0.9091 - F1: 0.9088
sub_24:Test (Best Model) - Loss: 8.1888 - Accuracy: 0.8750 - F1: 0.8667
sub_22:Test (Best Model) - Loss: 0.5030 - Accuracy: 0.8750 - F1: 0.8667
sub_23:Test (Best Model) - Loss: 1.0837 - Accuracy: 0.8788 - F1: 0.8787
sub_24:Test (Best Model) - Loss: 11.8905 - Accuracy: 0.8125 - F1: 0.7922
sub_23:Test (Best Model) - Loss: 0.9556 - Accuracy: 0.7576 - F1: 0.7519
sub_22:Test (Best Model) - Loss: 0.5042 - Accuracy: 0.9688 - F1: 0.9685
sub_24:Test (Best Model) - Loss: 10.0175 - Accuracy: 0.8438 - F1: 0.8359
sub_23:Test (Best Model) - Loss: 0.2218 - Accuracy: 0.9394 - F1: 0.9380
sub_22:Test (Best Model) - Loss: 1.6354 - Accuracy: 0.8438 - F1: 0.8398
sub_23:Test (Best Model) - Loss: 23.6370 - Accuracy: 0.9375 - F1: 0.9373
sub_22:Test (Best Model) - Loss: 3.1965 - Accuracy: 0.9062 - F1: 0.9015
sub_24:Test (Best Model) - Loss: 10.7738 - Accuracy: 0.8125 - F1: 0.8000
sub_24:Test (Best Model) - Loss: 0.4457 - Accuracy: 0.8750 - F1: 0.8704
sub_23:Test (Best Model) - Loss: 17.0001 - Accuracy: 0.9062 - F1: 0.9062
sub_22:Test (Best Model) - Loss: 0.3920 - Accuracy: 0.9394 - F1: 0.9389
sub_24:Test (Best Model) - Loss: 0.4761 - Accuracy: 0.9375 - F1: 0.9365
sub_23:Test (Best Model) - Loss: 33.2723 - Accuracy: 0.8438 - F1: 0.8436
sub_22:Test (Best Model) - Loss: 0.5212 - Accuracy: 0.8182 - F1: 0.8036
sub_24:Test (Best Model) - Loss: 0.9564 - Accuracy: 0.9062 - F1: 0.9039
sub_23:Test (Best Model) - Loss: 16.7915 - Accuracy: 0.8125 - F1: 0.8118
sub_22:Test (Best Model) - Loss: 0.3114 - Accuracy: 0.8485 - F1: 0.8485
sub_24:Test (Best Model) - Loss: 0.8630 - Accuracy: 0.9062 - F1: 0.9039
sub_22:Test (Best Model) - Loss: 0.1616 - Accuracy: 0.9394 - F1: 0.9380
sub_24:Test (Best Model) - Loss: 0.3577 - Accuracy: 0.9375 - F1: 0.9365
sub_23:Test (Best Model) - Loss: 23.3152 - Accuracy: 0.7500 - F1: 0.7490
sub_22:Test (Best Model) - Loss: 5.0023 - Accuracy: 0.7879 - F1: 0.7871
sub_23:Test (Best Model) - Loss: 32.8880 - Accuracy: 0.6061 - F1: 0.6046
sub_24:Test (Best Model) - Loss: 1.3237 - Accuracy: 0.8438 - F1: 0.8303
sub_22:Test (Best Model) - Loss: 2.1113 - Accuracy: 0.6562 - F1: 0.6532
sub_24:Test (Best Model) - Loss: 2.3311 - Accuracy: 0.8125 - F1: 0.8057
sub_23:Test (Best Model) - Loss: 5.5362 - Accuracy: 0.6970 - F1: 0.6898
sub_22:Test (Best Model) - Loss: 9.8316 - Accuracy: 0.6875 - F1: 0.6825
sub_24:Test (Best Model) - Loss: 2.4990 - Accuracy: 0.8438 - F1: 0.8303
sub_23:Test (Best Model) - Loss: 39.8498 - Accuracy: 0.7273 - F1: 0.7102
sub_22:Test (Best Model) - Loss: 2.1511 - Accuracy: 0.8125 - F1: 0.8118
sub_24:Test (Best Model) - Loss: 2.6658 - Accuracy: 0.7812 - F1: 0.7519
sub_23:Test (Best Model) - Loss: 17.6521 - Accuracy: 0.6970 - F1: 0.6944
sub_22:Test (Best Model) - Loss: 15.5094 - Accuracy: 0.5625 - F1: 0.5556
sub_24:Test (Best Model) - Loss: 2.4093 - Accuracy: 0.8750 - F1: 0.8667
sub_23:Test (Best Model) - Loss: 64.5067 - Accuracy: 0.6667 - F1: 0.6330
sub_22:Test (Best Model) - Loss: 25.0529 - Accuracy: 0.5000 - F1: 0.4818
sub_25:Test (Best Model) - Loss: 0.9250 - Accuracy: 0.9091 - F1: 0.9060
sub_27:Test (Best Model) - Loss: 1.1284 - Accuracy: 0.9091 - F1: 0.9088
sub_26:Test (Best Model) - Loss: 0.6801 - Accuracy: 0.8788 - F1: 0.8787
sub_25:Test (Best Model) - Loss: 0.6243 - Accuracy: 0.8788 - F1: 0.8787
sub_27:Test (Best Model) - Loss: 1.3654 - Accuracy: 0.8485 - F1: 0.8462
sub_25:Test (Best Model) - Loss: 0.3127 - Accuracy: 0.9091 - F1: 0.9088
sub_26:Test (Best Model) - Loss: 0.4171 - Accuracy: 0.7879 - F1: 0.7871
sub_27:Test (Best Model) - Loss: 1.9011 - Accuracy: 0.8788 - F1: 0.8778
sub_25:Test (Best Model) - Loss: 1.3375 - Accuracy: 0.8788 - F1: 0.8787
sub_26:Test (Best Model) - Loss: 0.2947 - Accuracy: 0.8182 - F1: 0.8180
sub_25:Test (Best Model) - Loss: 2.0067 - Accuracy: 0.8182 - F1: 0.8167
sub_27:Test (Best Model) - Loss: 9.2523 - Accuracy: 0.8788 - F1: 0.8787
sub_25:Test (Best Model) - Loss: 3.5982 - Accuracy: 0.7500 - F1: 0.7460
sub_27:Test (Best Model) - Loss: 3.0101 - Accuracy: 0.9091 - F1: 0.9088
sub_26:Test (Best Model) - Loss: 3.3335 - Accuracy: 0.7879 - F1: 0.7847
sub_25:Test (Best Model) - Loss: 2.0714 - Accuracy: 0.8125 - F1: 0.8118
sub_27:Test (Best Model) - Loss: 0.0955 - Accuracy: 0.9697 - F1: 0.9696
sub_25:Test (Best Model) - Loss: 2.2236 - Accuracy: 0.9375 - F1: 0.9373
sub_26:Test (Best Model) - Loss: 1.1912 - Accuracy: 0.8182 - F1: 0.8180
sub_25:Test (Best Model) - Loss: 1.0141 - Accuracy: 0.8750 - F1: 0.8730
sub_27:Test (Best Model) - Loss: 0.0282 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 2.9380 - Accuracy: 0.9688 - F1: 0.9685
sub_25:Test (Best Model) - Loss: 1.4451 - Accuracy: 0.9062 - F1: 0.9062
sub_27:Test (Best Model) - Loss: 0.0457 - Accuracy: 0.9697 - F1: 0.9696
sub_26:Test (Best Model) - Loss: 3.3398 - Accuracy: 0.8750 - F1: 0.8730
sub_27:Test (Best Model) - Loss: 1.6118 - Accuracy: 0.8788 - F1: 0.8787
sub_25:Test (Best Model) - Loss: 0.0630 - Accuracy: 0.9688 - F1: 0.9680
sub_26:Test (Best Model) - Loss: 16.5190 - Accuracy: 0.9062 - F1: 0.9054
sub_25:Test (Best Model) - Loss: 1.3490 - Accuracy: 0.9375 - F1: 0.9373
sub_27:Test (Best Model) - Loss: 0.0595 - Accuracy: 0.9697 - F1: 0.9692
sub_26:Test (Best Model) - Loss: 49.2649 - Accuracy: 0.7812 - F1: 0.7793
sub_25:Test (Best Model) - Loss: 1.9408 - Accuracy: 0.9062 - F1: 0.9054
sub_27:Test (Best Model) - Loss: 12.7946 - Accuracy: 0.9375 - F1: 0.9352
sub_26:Test (Best Model) - Loss: 15.0743 - Accuracy: 0.7500 - F1: 0.7490
sub_25:Test (Best Model) - Loss: 0.9022 - Accuracy: 0.9688 - F1: 0.9680
sub_27:Test (Best Model) - Loss: 13.7570 - Accuracy: 0.9062 - F1: 0.9039
sub_25:Test (Best Model) - Loss: 2.2027 - Accuracy: 0.9375 - F1: 0.9365
sub_27:Test (Best Model) - Loss: 11.9170 - Accuracy: 0.8750 - F1: 0.8704
sub_26:Test (Best Model) - Loss: 2.3873 - Accuracy: 0.8750 - F1: 0.8704
sub_26:Test (Best Model) - Loss: 11.9849 - Accuracy: 0.8438 - F1: 0.8398
sub_27:Test (Best Model) - Loss: 19.8090 - Accuracy: 0.8750 - F1: 0.8730
sub_27:Test (Best Model) - Loss: 23.8000 - Accuracy: 0.9375 - F1: 0.9352
sub_26:Test (Best Model) - Loss: 7.4145 - Accuracy: 0.8750 - F1: 0.8704
sub_26:Test (Best Model) - Loss: 1.8422 - Accuracy: 0.9062 - F1: 0.9015
sub_26:Test (Best Model) - Loss: 5.3659 - Accuracy: 0.8125 - F1: 0.8000
sub_28:Test (Best Model) - Loss: 1.7133 - Accuracy: 0.8125 - F1: 0.8057
sub_29:Test (Best Model) - Loss: 0.6737 - Accuracy: 0.9062 - F1: 0.9054
sub_28:Test (Best Model) - Loss: 3.2740 - Accuracy: 0.8125 - F1: 0.8095
sub_29:Test (Best Model) - Loss: 1.2499 - Accuracy: 0.8750 - F1: 0.8745
sub_29:Test (Best Model) - Loss: 2.7897 - Accuracy: 0.9062 - F1: 0.9039
sub_28:Test (Best Model) - Loss: 1.1973 - Accuracy: 0.8125 - F1: 0.8095
sub_29:Test (Best Model) - Loss: 0.6552 - Accuracy: 0.8750 - F1: 0.8750
sub_28:Test (Best Model) - Loss: 1.0550 - Accuracy: 0.6875 - F1: 0.6761
sub_29:Test (Best Model) - Loss: 1.7579 - Accuracy: 0.8438 - F1: 0.8424
sub_28:Test (Best Model) - Loss: 2.7219 - Accuracy: 0.6250 - F1: 0.6190
sub_29:Test (Best Model) - Loss: 1.1749 - Accuracy: 0.8438 - F1: 0.8398
sub_28:Test (Best Model) - Loss: 0.4665 - Accuracy: 0.9062 - F1: 0.9039
sub_29:Test (Best Model) - Loss: 5.7622 - Accuracy: 0.7500 - F1: 0.7091
sub_28:Test (Best Model) - Loss: 0.3763 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 5.1521 - Accuracy: 0.8438 - F1: 0.8359
sub_29:Test (Best Model) - Loss: 4.9542 - Accuracy: 0.8438 - F1: 0.8359
sub_28:Test (Best Model) - Loss: 0.4907 - Accuracy: 0.9062 - F1: 0.9015
sub_28:Test (Best Model) - Loss: 0.3964 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 3.0603 - Accuracy: 0.8750 - F1: 0.8704
sub_28:Test (Best Model) - Loss: 0.9813 - Accuracy: 0.7812 - F1: 0.7625
sub_29:Test (Best Model) - Loss: 0.8016 - Accuracy: 0.9394 - F1: 0.9389
sub_28:Test (Best Model) - Loss: 8.1386 - Accuracy: 0.7188 - F1: 0.6946
sub_29:Test (Best Model) - Loss: 5.3867 - Accuracy: 0.8788 - F1: 0.8731
sub_28:Test (Best Model) - Loss: 18.3184 - Accuracy: 0.5938 - F1: 0.5135
sub_29:Test (Best Model) - Loss: 0.5330 - Accuracy: 0.8788 - F1: 0.8778
sub_28:Test (Best Model) - Loss: 10.0721 - Accuracy: 0.7500 - F1: 0.7229
sub_29:Test (Best Model) - Loss: 3.6286 - Accuracy: 0.9394 - F1: 0.9380
sub_28:Test (Best Model) - Loss: 12.6396 - Accuracy: 0.6250 - F1: 0.6113
sub_29:Test (Best Model) - Loss: 2.4274 - Accuracy: 0.8788 - F1: 0.8731
sub_28:Test (Best Model) - Loss: 3.3740 - Accuracy: 0.7812 - F1: 0.7703

=== Summary Results ===

acc: 83.46 ± 6.31
F1: 82.84 ± 6.70
acc-in: 94.59 ± 2.79
F1-in: 94.32 ± 2.98
runing time: 1211.89 seconds
