lr: 0.001
sub_2:Test (Best Model) - Loss: 1.6279 - Accuracy: 0.7273 - F1: 0.7263
sub_3:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 1.5367 - Accuracy: 0.9375 - F1: 0.9373
sub_3:Test (Best Model) - Loss: 0.4171 - Accuracy: 0.9688 - F1: 0.9680
sub_2:Test (Best Model) - Loss: 30.6192 - Accuracy: 0.5152 - F1: 0.4762
sub_1:Test (Best Model) - Loss: 0.3357 - Accuracy: 0.9375 - F1: 0.9373
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 2.5614 - Accuracy: 0.7879 - F1: 0.7871
sub_3:Test (Best Model) - Loss: 0.5364 - Accuracy: 0.9375 - F1: 0.9352
sub_1:Test (Best Model) - Loss: 0.9541 - Accuracy: 0.9375 - F1: 0.9373
sub_2:Test (Best Model) - Loss: 1.6433 - Accuracy: 0.7273 - F1: 0.7273
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 2.2633 - Accuracy: 0.8125 - F1: 0.8118
sub_2:Test (Best Model) - Loss: 2.3457 - Accuracy: 0.6970 - F1: 0.6944
sub_1:Test (Best Model) - Loss: 1.3124 - Accuracy: 0.8750 - F1: 0.8745
sub_3:Test (Best Model) - Loss: 0.3300 - Accuracy: 0.8788 - F1: 0.8787
sub_2:Test (Best Model) - Loss: 0.0110 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.8036 - Accuracy: 0.9394 - F1: 0.9380
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.0128 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0039 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.1969 - Accuracy: 0.9688 - F1: 0.9685
sub_1:Test (Best Model) - Loss: 1.7387 - Accuracy: 0.9091 - F1: 0.9060
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 6.1803 - Accuracy: 0.7576 - F1: 0.7273
sub_2:Test (Best Model) - Loss: 0.0721 - Accuracy: 0.9688 - F1: 0.9685
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 6.0772 - Accuracy: 0.7576 - F1: 0.7273
sub_3:Test (Best Model) - Loss: 0.2239 - Accuracy: 0.9697 - F1: 0.9692
sub_2:Test (Best Model) - Loss: 0.0104 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 4.9711 - Accuracy: 0.7576 - F1: 0.7273
sub_3:Test (Best Model) - Loss: 1.4096 - Accuracy: 0.9091 - F1: 0.9060
sub_2:Test (Best Model) - Loss: 3.0790 - Accuracy: 0.5758 - F1: 0.5417
sub_1:Test (Best Model) - Loss: 4.4358 - Accuracy: 0.9375 - F1: 0.9373
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.5406 - Accuracy: 0.8750 - F1: 0.8750
sub_3:Test (Best Model) - Loss: 4.9786 - Accuracy: 0.9091 - F1: 0.9060
sub_2:Test (Best Model) - Loss: 1.0679 - Accuracy: 0.8485 - F1: 0.8485
sub_1:Test (Best Model) - Loss: 0.4152 - Accuracy: 0.9688 - F1: 0.9685
sub_1:Test (Best Model) - Loss: 0.2578 - Accuracy: 0.9688 - F1: 0.9685
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.4344 - Accuracy: 0.8485 - F1: 0.8485
sub_1:Test (Best Model) - Loss: 0.4692 - Accuracy: 0.9688 - F1: 0.9685
sub_2:Test (Best Model) - Loss: 2.0354 - Accuracy: 0.5152 - F1: 0.4545
sub_2:Test (Best Model) - Loss: 3.6283 - Accuracy: 0.4848 - F1: 0.4063
sub_4:Test (Best Model) - Loss: 0.4436 - Accuracy: 0.8788 - F1: 0.8778
sub_5:Test (Best Model) - Loss: 0.3475 - Accuracy: 0.9375 - F1: 0.9373
sub_6:Test (Best Model) - Loss: 16.5725 - Accuracy: 0.5312 - F1: 0.4684
sub_4:Test (Best Model) - Loss: 0.3826 - Accuracy: 0.9091 - F1: 0.9088
sub_5:Test (Best Model) - Loss: 0.0305 - Accuracy: 0.9688 - F1: 0.9685
sub_6:Test (Best Model) - Loss: 22.3869 - Accuracy: 0.4375 - F1: 0.3455
sub_4:Test (Best Model) - Loss: 0.7916 - Accuracy: 0.8788 - F1: 0.8778
sub_5:Test (Best Model) - Loss: 0.0144 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 15.9958 - Accuracy: 0.4375 - F1: 0.3455
sub_5:Test (Best Model) - Loss: 0.0994 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 0.4730 - Accuracy: 0.9091 - F1: 0.9077
sub_6:Test (Best Model) - Loss: 13.2803 - Accuracy: 0.6250 - F1: 0.6000
sub_5:Test (Best Model) - Loss: 0.0128 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 9.8926 - Accuracy: 0.5312 - F1: 0.4910
sub_4:Test (Best Model) - Loss: 0.5534 - Accuracy: 0.8485 - F1: 0.8479
sub_5:Test (Best Model) - Loss: 14.6510 - Accuracy: 0.5000 - F1: 0.4182
sub_5:Test (Best Model) - Loss: 16.7029 - Accuracy: 0.4688 - F1: 0.3637
sub_6:Test (Best Model) - Loss: 0.3256 - Accuracy: 0.9091 - F1: 0.9088
sub_4:Test (Best Model) - Loss: 3.0941 - Accuracy: 0.6364 - F1: 0.6071
sub_5:Test (Best Model) - Loss: 8.2394 - Accuracy: 0.5938 - F1: 0.5589
sub_4:Test (Best Model) - Loss: 0.2141 - Accuracy: 0.9091 - F1: 0.9088
sub_6:Test (Best Model) - Loss: 0.4074 - Accuracy: 0.8788 - F1: 0.8731
sub_5:Test (Best Model) - Loss: 22.1780 - Accuracy: 0.4375 - F1: 0.3043
sub_4:Test (Best Model) - Loss: 0.3375 - Accuracy: 0.9091 - F1: 0.9088
sub_5:Test (Best Model) - Loss: 50.4936 - Accuracy: 0.4375 - F1: 0.3043
sub_4:Test (Best Model) - Loss: 0.4631 - Accuracy: 0.9091 - F1: 0.9060
sub_6:Test (Best Model) - Loss: 0.4141 - Accuracy: 0.8485 - F1: 0.8390
sub_5:Test (Best Model) - Loss: 0.0506 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 0.7580 - Accuracy: 0.8788 - F1: 0.8787
sub_5:Test (Best Model) - Loss: 1.0575 - Accuracy: 0.8750 - F1: 0.8667
sub_6:Test (Best Model) - Loss: 0.5458 - Accuracy: 0.8788 - F1: 0.8778
sub_5:Test (Best Model) - Loss: 0.1952 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 8.0734 - Accuracy: 0.5758 - F1: 0.5722
sub_6:Test (Best Model) - Loss: 0.6396 - Accuracy: 0.7879 - F1: 0.7664
sub_5:Test (Best Model) - Loss: 0.6844 - Accuracy: 0.9688 - F1: 0.9680
sub_6:Test (Best Model) - Loss: 0.2313 - Accuracy: 0.9091 - F1: 0.9088
sub_4:Test (Best Model) - Loss: 2.0721 - Accuracy: 0.6667 - F1: 0.6667
sub_5:Test (Best Model) - Loss: 0.2840 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 2.6223 - Accuracy: 0.6364 - F1: 0.6360
sub_6:Test (Best Model) - Loss: 0.0947 - Accuracy: 0.9697 - F1: 0.9692
sub_4:Test (Best Model) - Loss: 2.2156 - Accuracy: 0.6667 - F1: 0.6617
sub_6:Test (Best Model) - Loss: 0.0949 - Accuracy: 0.9697 - F1: 0.9696
sub_4:Test (Best Model) - Loss: 1.7894 - Accuracy: 0.6970 - F1: 0.6944
sub_6:Test (Best Model) - Loss: 0.0968 - Accuracy: 0.9697 - F1: 0.9692
sub_6:Test (Best Model) - Loss: 0.0771 - Accuracy: 0.9697 - F1: 0.9692
sub_9:Test (Best Model) - Loss: 0.4271 - Accuracy: 0.8750 - F1: 0.8750
sub_7:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.7934 - Accuracy: 0.8750 - F1: 0.8750
sub_9:Test (Best Model) - Loss: 0.3379 - Accuracy: 0.9062 - F1: 0.9062
sub_7:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 2.0114 - Accuracy: 0.7812 - F1: 0.7793
sub_8:Test (Best Model) - Loss: 1.0104 - Accuracy: 0.7188 - F1: 0.7117
sub_7:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.3914 - Accuracy: 0.9062 - F1: 0.9062
sub_8:Test (Best Model) - Loss: 1.2857 - Accuracy: 0.7188 - F1: 0.7117
sub_7:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.1473 - Accuracy: 0.9375 - F1: 0.9373
sub_8:Test (Best Model) - Loss: 1.5867 - Accuracy: 0.7500 - F1: 0.7500
sub_9:Test (Best Model) - Loss: 0.7615 - Accuracy: 0.9688 - F1: 0.9680
sub_7:Test (Best Model) - Loss: 0.8923 - Accuracy: 0.9375 - F1: 0.9373
sub_8:Test (Best Model) - Loss: 13.3104 - Accuracy: 0.6562 - F1: 0.6390
sub_7:Test (Best Model) - Loss: 0.3707 - Accuracy: 0.9375 - F1: 0.9352
sub_9:Test (Best Model) - Loss: 0.6272 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 2.8480 - Accuracy: 0.7500 - F1: 0.7229
sub_7:Test (Best Model) - Loss: 0.0025 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 1.2830 - Accuracy: 0.7812 - F1: 0.7793
sub_9:Test (Best Model) - Loss: 1.3807 - Accuracy: 0.9375 - F1: 0.9352
sub_7:Test (Best Model) - Loss: 0.7951 - Accuracy: 0.9375 - F1: 0.9352
sub_9:Test (Best Model) - Loss: 1.4018 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 8.3945 - Accuracy: 0.6562 - F1: 0.6476
sub_7:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.2932 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 1.7346 - Accuracy: 0.7812 - F1: 0.7758
sub_7:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0602 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 1.5048 - Accuracy: 0.7188 - F1: 0.7163
sub_9:Test (Best Model) - Loss: 1.2795 - Accuracy: 0.8750 - F1: 0.8667
sub_7:Test (Best Model) - Loss: 1.3352 - Accuracy: 0.9375 - F1: 0.9373
sub_8:Test (Best Model) - Loss: 0.1510 - Accuracy: 0.8750 - F1: 0.8745
sub_7:Test (Best Model) - Loss: 0.6460 - Accuracy: 0.9375 - F1: 0.9373
sub_9:Test (Best Model) - Loss: 0.6524 - Accuracy: 0.9062 - F1: 0.9062
sub_8:Test (Best Model) - Loss: 0.1254 - Accuracy: 0.9062 - F1: 0.9015
sub_7:Test (Best Model) - Loss: 7.1505 - Accuracy: 0.9062 - F1: 0.9062
sub_9:Test (Best Model) - Loss: 0.5133 - Accuracy: 0.8125 - F1: 0.8118
sub_7:Test (Best Model) - Loss: 0.7910 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 0.0066 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 1.0378 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 0.0323 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.8068 - Accuracy: 0.9375 - F1: 0.9365
sub_8:Test (Best Model) - Loss: 0.7924 - Accuracy: 0.8125 - F1: 0.8057
sub_12:Test (Best Model) - Loss: 2.9898 - Accuracy: 0.8438 - F1: 0.8398
sub_10:Test (Best Model) - Loss: 2.5634 - Accuracy: 0.8438 - F1: 0.8436
sub_11:Test (Best Model) - Loss: 1.3669 - Accuracy: 0.9091 - F1: 0.9060
sub_12:Test (Best Model) - Loss: 1.3929 - Accuracy: 0.9062 - F1: 0.9015
sub_11:Test (Best Model) - Loss: 0.8422 - Accuracy: 0.9394 - F1: 0.9380
sub_10:Test (Best Model) - Loss: 0.3174 - Accuracy: 0.9062 - F1: 0.9062
sub_12:Test (Best Model) - Loss: 1.2027 - Accuracy: 0.9062 - F1: 0.9015
sub_11:Test (Best Model) - Loss: 1.4053 - Accuracy: 0.6667 - F1: 0.6553
sub_10:Test (Best Model) - Loss: 2.8099 - Accuracy: 0.7812 - F1: 0.7793
sub_10:Test (Best Model) - Loss: 2.0192 - Accuracy: 0.9062 - F1: 0.9062
sub_12:Test (Best Model) - Loss: 1.3292 - Accuracy: 0.9062 - F1: 0.9039
sub_11:Test (Best Model) - Loss: 3.0708 - Accuracy: 0.7273 - F1: 0.7232
sub_10:Test (Best Model) - Loss: 5.0977 - Accuracy: 0.7812 - F1: 0.7793
sub_12:Test (Best Model) - Loss: 0.6878 - Accuracy: 0.8438 - F1: 0.8303
sub_11:Test (Best Model) - Loss: 1.3696 - Accuracy: 0.9394 - F1: 0.9380
sub_10:Test (Best Model) - Loss: 3.9486 - Accuracy: 0.9688 - F1: 0.9685
sub_12:Test (Best Model) - Loss: 2.4129 - Accuracy: 0.8485 - F1: 0.8433
sub_10:Test (Best Model) - Loss: 1.3461 - Accuracy: 0.9688 - F1: 0.9685
sub_11:Test (Best Model) - Loss: 0.7728 - Accuracy: 0.9091 - F1: 0.9091
sub_12:Test (Best Model) - Loss: 0.8426 - Accuracy: 0.8485 - F1: 0.8390
sub_12:Test (Best Model) - Loss: 0.2450 - Accuracy: 0.9697 - F1: 0.9692
sub_11:Test (Best Model) - Loss: 0.5831 - Accuracy: 0.9091 - F1: 0.9091
sub_10:Test (Best Model) - Loss: 0.5043 - Accuracy: 0.9688 - F1: 0.9685
sub_11:Test (Best Model) - Loss: 1.4419 - Accuracy: 0.8182 - F1: 0.8167
sub_10:Test (Best Model) - Loss: 0.8114 - Accuracy: 0.9688 - F1: 0.9685
sub_12:Test (Best Model) - Loss: 0.2511 - Accuracy: 0.9697 - F1: 0.9692
sub_10:Test (Best Model) - Loss: 2.6645 - Accuracy: 0.9375 - F1: 0.9352
sub_12:Test (Best Model) - Loss: 8.8998 - Accuracy: 0.7273 - F1: 0.6857
sub_11:Test (Best Model) - Loss: 0.2943 - Accuracy: 0.9091 - F1: 0.9088
sub_10:Test (Best Model) - Loss: 0.7875 - Accuracy: 0.9697 - F1: 0.9692
sub_12:Test (Best Model) - Loss: 5.3460 - Accuracy: 0.7812 - F1: 0.7793
sub_11:Test (Best Model) - Loss: 0.9409 - Accuracy: 0.8788 - F1: 0.8787
sub_10:Test (Best Model) - Loss: 1.6393 - Accuracy: 0.9394 - F1: 0.9380
sub_12:Test (Best Model) - Loss: 0.9577 - Accuracy: 0.8750 - F1: 0.8750
sub_10:Test (Best Model) - Loss: 1.0740 - Accuracy: 0.9697 - F1: 0.9692
sub_11:Test (Best Model) - Loss: 0.3137 - Accuracy: 0.8485 - F1: 0.8479
sub_12:Test (Best Model) - Loss: 1.3178 - Accuracy: 0.8750 - F1: 0.8745
sub_11:Test (Best Model) - Loss: 0.1843 - Accuracy: 0.8788 - F1: 0.8787
sub_10:Test (Best Model) - Loss: 2.1531 - Accuracy: 0.9091 - F1: 0.9060
sub_12:Test (Best Model) - Loss: 2.4191 - Accuracy: 0.8750 - F1: 0.8745
sub_11:Test (Best Model) - Loss: 0.3789 - Accuracy: 0.7879 - F1: 0.7871
sub_10:Test (Best Model) - Loss: 0.4368 - Accuracy: 0.9697 - F1: 0.9692
sub_12:Test (Best Model) - Loss: 2.3170 - Accuracy: 0.8438 - F1: 0.8436
sub_11:Test (Best Model) - Loss: 0.1651 - Accuracy: 0.9697 - F1: 0.9696
sub_11:Test (Best Model) - Loss: 0.8527 - Accuracy: 0.7879 - F1: 0.7847
sub_13:Test (Best Model) - Loss: 0.3081 - Accuracy: 0.9062 - F1: 0.9039
sub_15:Test (Best Model) - Loss: 6.3968 - Accuracy: 0.8750 - F1: 0.8667
sub_14:Test (Best Model) - Loss: 33.6630 - Accuracy: 0.5625 - F1: 0.3600
sub_15:Test (Best Model) - Loss: 1.3680 - Accuracy: 0.9375 - F1: 0.9352
sub_13:Test (Best Model) - Loss: 0.1808 - Accuracy: 0.9688 - F1: 0.9685
sub_15:Test (Best Model) - Loss: 2.2710 - Accuracy: 0.9062 - F1: 0.9015
sub_13:Test (Best Model) - Loss: 0.6069 - Accuracy: 0.9688 - F1: 0.9685
sub_14:Test (Best Model) - Loss: 5.1395 - Accuracy: 0.6562 - F1: 0.5594
sub_15:Test (Best Model) - Loss: 3.1267 - Accuracy: 0.8750 - F1: 0.8667
sub_13:Test (Best Model) - Loss: 0.2296 - Accuracy: 0.9688 - F1: 0.9685
sub_14:Test (Best Model) - Loss: 6.4110 - Accuracy: 0.5625 - F1: 0.3600
sub_15:Test (Best Model) - Loss: 22.5844 - Accuracy: 0.8438 - F1: 0.8303
sub_13:Test (Best Model) - Loss: 0.1161 - Accuracy: 0.9688 - F1: 0.9685
sub_14:Test (Best Model) - Loss: 2.9935 - Accuracy: 0.6875 - F1: 0.6135
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.5307 - Accuracy: 0.8788 - F1: 0.8787
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 23.7069 - Accuracy: 0.5625 - F1: 0.3600
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 1.3395 - Accuracy: 0.8485 - F1: 0.8479
sub_14:Test (Best Model) - Loss: 2.1970 - Accuracy: 0.7812 - F1: 0.7810
sub_15:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 3.4309 - Accuracy: 0.9091 - F1: 0.9060
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 3.1726 - Accuracy: 0.7188 - F1: 0.7163
sub_13:Test (Best Model) - Loss: 2.0628 - Accuracy: 0.7576 - F1: 0.7556
sub_15:Test (Best Model) - Loss: 0.1330 - Accuracy: 0.9375 - F1: 0.9373
sub_14:Test (Best Model) - Loss: 1.3043 - Accuracy: 0.8438 - F1: 0.8436
sub_13:Test (Best Model) - Loss: 0.6547 - Accuracy: 0.8485 - F1: 0.8479
sub_15:Test (Best Model) - Loss: 0.1688 - Accuracy: 0.9688 - F1: 0.9685
sub_14:Test (Best Model) - Loss: 3.1207 - Accuracy: 0.6875 - F1: 0.6825
sub_13:Test (Best Model) - Loss: 1.7290 - Accuracy: 0.8750 - F1: 0.8745
sub_15:Test (Best Model) - Loss: 0.8580 - Accuracy: 0.9062 - F1: 0.9062
sub_14:Test (Best Model) - Loss: 4.9544 - Accuracy: 0.6562 - F1: 0.6476
sub_13:Test (Best Model) - Loss: 1.2935 - Accuracy: 0.9062 - F1: 0.9039
sub_15:Test (Best Model) - Loss: 0.2426 - Accuracy: 0.9375 - F1: 0.9373
sub_14:Test (Best Model) - Loss: 0.4467 - Accuracy: 0.9062 - F1: 0.9015
sub_15:Test (Best Model) - Loss: 0.8336 - Accuracy: 0.9062 - F1: 0.9062
sub_13:Test (Best Model) - Loss: 3.5362 - Accuracy: 0.8750 - F1: 0.8704
sub_14:Test (Best Model) - Loss: 1.1367 - Accuracy: 0.8125 - F1: 0.8000
sub_13:Test (Best Model) - Loss: 0.8685 - Accuracy: 0.9375 - F1: 0.9365
sub_14:Test (Best Model) - Loss: 1.7037 - Accuracy: 0.8750 - F1: 0.8667
sub_13:Test (Best Model) - Loss: 1.2113 - Accuracy: 0.8750 - F1: 0.8745
sub_14:Test (Best Model) - Loss: 0.2714 - Accuracy: 0.9062 - F1: 0.9015
sub_14:Test (Best Model) - Loss: 0.2787 - Accuracy: 0.9062 - F1: 0.9039
sub_18:Test (Best Model) - Loss: 0.1241 - Accuracy: 0.9697 - F1: 0.9692
sub_17:Test (Best Model) - Loss: 0.2691 - Accuracy: 0.9091 - F1: 0.9088
sub_16:Test (Best Model) - Loss: 0.7198 - Accuracy: 0.8125 - F1: 0.8057
sub_17:Test (Best Model) - Loss: 0.4611 - Accuracy: 0.8485 - F1: 0.8485
sub_18:Test (Best Model) - Loss: 0.1543 - Accuracy: 0.9697 - F1: 0.9692
sub_16:Test (Best Model) - Loss: 0.5737 - Accuracy: 0.8125 - F1: 0.8000
sub_17:Test (Best Model) - Loss: 1.2425 - Accuracy: 0.9091 - F1: 0.9088
sub_18:Test (Best Model) - Loss: 0.2657 - Accuracy: 0.9091 - F1: 0.9060
sub_17:Test (Best Model) - Loss: 1.8510 - Accuracy: 0.8485 - F1: 0.8462
sub_16:Test (Best Model) - Loss: 0.4121 - Accuracy: 0.8438 - F1: 0.8359
sub_18:Test (Best Model) - Loss: 0.7440 - Accuracy: 0.8788 - F1: 0.8759
sub_17:Test (Best Model) - Loss: 0.1894 - Accuracy: 0.9091 - F1: 0.9088
sub_16:Test (Best Model) - Loss: 0.1959 - Accuracy: 0.9062 - F1: 0.9015
sub_18:Test (Best Model) - Loss: 5.0426 - Accuracy: 0.7273 - F1: 0.7232
sub_17:Test (Best Model) - Loss: 0.5761 - Accuracy: 0.9091 - F1: 0.9088
sub_16:Test (Best Model) - Loss: 0.5061 - Accuracy: 0.8125 - F1: 0.8000
sub_17:Test (Best Model) - Loss: 1.2704 - Accuracy: 0.9394 - F1: 0.9380
sub_18:Test (Best Model) - Loss: 2.7155 - Accuracy: 0.6562 - F1: 0.6390
sub_17:Test (Best Model) - Loss: 0.5097 - Accuracy: 0.9394 - F1: 0.9389
sub_16:Test (Best Model) - Loss: 1.5510 - Accuracy: 0.7812 - F1: 0.7793
sub_18:Test (Best Model) - Loss: 3.3195 - Accuracy: 0.8750 - F1: 0.8750
sub_17:Test (Best Model) - Loss: 0.5280 - Accuracy: 0.9394 - F1: 0.9380
sub_16:Test (Best Model) - Loss: 6.5666 - Accuracy: 0.5312 - F1: 0.4684
sub_18:Test (Best Model) - Loss: 3.7268 - Accuracy: 0.6562 - F1: 0.6390
sub_17:Test (Best Model) - Loss: 0.4968 - Accuracy: 0.9697 - F1: 0.9692
sub_18:Test (Best Model) - Loss: 1.1492 - Accuracy: 0.8125 - F1: 0.8118
sub_17:Test (Best Model) - Loss: 0.7186 - Accuracy: 0.9062 - F1: 0.9039
sub_16:Test (Best Model) - Loss: 7.0657 - Accuracy: 0.6562 - F1: 0.6390
sub_18:Test (Best Model) - Loss: 0.9302 - Accuracy: 0.7812 - F1: 0.7793
sub_16:Test (Best Model) - Loss: 2.1821 - Accuracy: 0.7188 - F1: 0.7185
sub_17:Test (Best Model) - Loss: 0.7160 - Accuracy: 0.9062 - F1: 0.9039
sub_17:Test (Best Model) - Loss: 2.7020 - Accuracy: 0.8125 - F1: 0.7922
sub_18:Test (Best Model) - Loss: 0.3408 - Accuracy: 0.9062 - F1: 0.9062
sub_16:Test (Best Model) - Loss: 3.8574 - Accuracy: 0.5312 - F1: 0.4684
sub_17:Test (Best Model) - Loss: 1.2130 - Accuracy: 0.8438 - F1: 0.8303
sub_18:Test (Best Model) - Loss: 1.0483 - Accuracy: 0.9375 - F1: 0.9365
sub_16:Test (Best Model) - Loss: 2.0135 - Accuracy: 0.8750 - F1: 0.8750
sub_17:Test (Best Model) - Loss: 1.8941 - Accuracy: 0.8750 - F1: 0.8667
sub_18:Test (Best Model) - Loss: 3.9069 - Accuracy: 0.8125 - F1: 0.8125
sub_16:Test (Best Model) - Loss: 0.0216 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 1.9272 - Accuracy: 0.8750 - F1: 0.8730
sub_16:Test (Best Model) - Loss: 0.3105 - Accuracy: 0.8750 - F1: 0.8745
sub_18:Test (Best Model) - Loss: 1.9533 - Accuracy: 0.9375 - F1: 0.9365
sub_16:Test (Best Model) - Loss: 0.0482 - Accuracy: 0.9688 - F1: 0.9680
sub_16:Test (Best Model) - Loss: 0.0805 - Accuracy: 0.9688 - F1: 0.9685
sub_19:Test (Best Model) - Loss: 50.6451 - Accuracy: 0.5938 - F1: 0.5589
sub_21:Test (Best Model) - Loss: 0.3737 - Accuracy: 0.9375 - F1: 0.9352
sub_20:Test (Best Model) - Loss: 3.4375 - Accuracy: 0.5938 - F1: 0.5733
sub_19:Test (Best Model) - Loss: 23.3981 - Accuracy: 0.5938 - F1: 0.5393
sub_20:Test (Best Model) - Loss: 1.7178 - Accuracy: 0.7188 - F1: 0.7163
sub_21:Test (Best Model) - Loss: 0.4666 - Accuracy: 0.9375 - F1: 0.9352
sub_19:Test (Best Model) - Loss: 4.3273 - Accuracy: 0.6250 - F1: 0.5844
sub_20:Test (Best Model) - Loss: 2.1767 - Accuracy: 0.6250 - F1: 0.6113
sub_19:Test (Best Model) - Loss: 7.6428 - Accuracy: 0.6250 - F1: 0.5636
sub_20:Test (Best Model) - Loss: 1.0695 - Accuracy: 0.6250 - F1: 0.6190
sub_21:Test (Best Model) - Loss: 1.4675 - Accuracy: 0.9062 - F1: 0.9015
sub_19:Test (Best Model) - Loss: 82.2744 - Accuracy: 0.5625 - F1: 0.4909
sub_20:Test (Best Model) - Loss: 0.7490 - Accuracy: 0.7500 - F1: 0.7500
sub_20:Test (Best Model) - Loss: 0.1611 - Accuracy: 0.9062 - F1: 0.9039
sub_21:Test (Best Model) - Loss: 0.2400 - Accuracy: 0.9375 - F1: 0.9352
sub_19:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.4468 - Accuracy: 0.9062 - F1: 0.9015
sub_20:Test (Best Model) - Loss: 0.8790 - Accuracy: 0.7812 - F1: 0.7793
sub_19:Test (Best Model) - Loss: 0.0006 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.3472 - Accuracy: 0.9062 - F1: 0.9039
sub_20:Test (Best Model) - Loss: 0.6436 - Accuracy: 0.9062 - F1: 0.9039
sub_19:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.5368 - Accuracy: 0.8750 - F1: 0.8745
sub_20:Test (Best Model) - Loss: 1.5773 - Accuracy: 0.8125 - F1: 0.8000
sub_19:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.1416 - Accuracy: 0.9375 - F1: 0.9365
sub_20:Test (Best Model) - Loss: 1.7484 - Accuracy: 0.7812 - F1: 0.7519
sub_21:Test (Best Model) - Loss: 0.4640 - Accuracy: 0.8750 - F1: 0.8704
sub_19:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 8.5081 - Accuracy: 0.4848 - F1: 0.4328
sub_19:Test (Best Model) - Loss: 7.6182 - Accuracy: 0.8125 - F1: 0.8118
sub_21:Test (Best Model) - Loss: 0.5042 - Accuracy: 0.8750 - F1: 0.8704
sub_20:Test (Best Model) - Loss: 1.8730 - Accuracy: 0.7273 - F1: 0.7232
sub_21:Test (Best Model) - Loss: 1.4179 - Accuracy: 0.6562 - F1: 0.6390
sub_19:Test (Best Model) - Loss: 1.1679 - Accuracy: 0.7812 - F1: 0.7758
sub_21:Test (Best Model) - Loss: 2.4217 - Accuracy: 0.6250 - F1: 0.6000
sub_20:Test (Best Model) - Loss: 0.6357 - Accuracy: 0.7576 - F1: 0.7574
sub_19:Test (Best Model) - Loss: 1.7668 - Accuracy: 0.8125 - F1: 0.8095
sub_20:Test (Best Model) - Loss: 0.4277 - Accuracy: 0.8485 - F1: 0.8462
sub_21:Test (Best Model) - Loss: 3.6206 - Accuracy: 0.6562 - F1: 0.6390
sub_19:Test (Best Model) - Loss: 3.6211 - Accuracy: 0.8125 - F1: 0.8095
sub_20:Test (Best Model) - Loss: 0.8059 - Accuracy: 0.7273 - F1: 0.7232
sub_21:Test (Best Model) - Loss: 0.7268 - Accuracy: 0.6250 - F1: 0.6113
sub_21:Test (Best Model) - Loss: 3.1338 - Accuracy: 0.6562 - F1: 0.6390
sub_19:Test (Best Model) - Loss: 2.8840 - Accuracy: 0.8750 - F1: 0.8730
sub_24:Test (Best Model) - Loss: 1.2477 - Accuracy: 0.8438 - F1: 0.8303
sub_22:Test (Best Model) - Loss: 0.2799 - Accuracy: 0.9062 - F1: 0.9039
sub_23:Test (Best Model) - Loss: 0.1452 - Accuracy: 0.9697 - F1: 0.9696
sub_24:Test (Best Model) - Loss: 0.0253 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.4149 - Accuracy: 0.8438 - F1: 0.8359
sub_23:Test (Best Model) - Loss: 0.1498 - Accuracy: 0.9394 - F1: 0.9380
sub_24:Test (Best Model) - Loss: 0.3937 - Accuracy: 0.9375 - F1: 0.9352
sub_22:Test (Best Model) - Loss: 0.0560 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.0275 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.8822 - Accuracy: 0.9062 - F1: 0.9015
sub_24:Test (Best Model) - Loss: 1.6678 - Accuracy: 0.8750 - F1: 0.8750
sub_22:Test (Best Model) - Loss: 0.8131 - Accuracy: 0.9062 - F1: 0.9015
sub_23:Test (Best Model) - Loss: 0.0137 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 5.8409 - Accuracy: 0.9062 - F1: 0.9062
sub_23:Test (Best Model) - Loss: 0.0429 - Accuracy: 0.9697 - F1: 0.9692
sub_22:Test (Best Model) - Loss: 0.3534 - Accuracy: 0.9062 - F1: 0.9015
sub_24:Test (Best Model) - Loss: 1.2577 - Accuracy: 0.9375 - F1: 0.9373
sub_23:Test (Best Model) - Loss: 2.4207 - Accuracy: 0.9375 - F1: 0.9373
sub_22:Test (Best Model) - Loss: 1.9185 - Accuracy: 0.6364 - F1: 0.6192
sub_24:Test (Best Model) - Loss: 1.0026 - Accuracy: 0.9688 - F1: 0.9685
sub_23:Test (Best Model) - Loss: 0.9518 - Accuracy: 0.9375 - F1: 0.9373
sub_24:Test (Best Model) - Loss: 1.6540 - Accuracy: 0.9688 - F1: 0.9685
sub_22:Test (Best Model) - Loss: 0.9515 - Accuracy: 0.6364 - F1: 0.6192
sub_23:Test (Best Model) - Loss: 0.3446 - Accuracy: 0.9375 - F1: 0.9352
sub_24:Test (Best Model) - Loss: 2.3676 - Accuracy: 0.9688 - F1: 0.9685
sub_22:Test (Best Model) - Loss: 0.1740 - Accuracy: 0.9091 - F1: 0.9060
sub_23:Test (Best Model) - Loss: 1.8383 - Accuracy: 0.9375 - F1: 0.9365
sub_24:Test (Best Model) - Loss: 0.6423 - Accuracy: 0.9062 - F1: 0.9015
sub_22:Test (Best Model) - Loss: 0.0617 - Accuracy: 0.9697 - F1: 0.9692
sub_24:Test (Best Model) - Loss: 0.2322 - Accuracy: 0.9375 - F1: 0.9352
sub_23:Test (Best Model) - Loss: 0.9654 - Accuracy: 0.9375 - F1: 0.9373
sub_24:Test (Best Model) - Loss: 0.1853 - Accuracy: 0.9062 - F1: 0.9015
sub_22:Test (Best Model) - Loss: 1.0718 - Accuracy: 0.8788 - F1: 0.8731
sub_23:Test (Best Model) - Loss: 9.0335 - Accuracy: 0.8788 - F1: 0.8731
sub_24:Test (Best Model) - Loss: 0.4969 - Accuracy: 0.8750 - F1: 0.8667
sub_22:Test (Best Model) - Loss: 2.7052 - Accuracy: 0.7188 - F1: 0.7163
sub_23:Test (Best Model) - Loss: 12.3255 - Accuracy: 0.7576 - F1: 0.7273
sub_24:Test (Best Model) - Loss: 0.5880 - Accuracy: 0.9688 - F1: 0.9680
sub_22:Test (Best Model) - Loss: 4.7245 - Accuracy: 0.6250 - F1: 0.6190
sub_23:Test (Best Model) - Loss: 22.9092 - Accuracy: 0.7879 - F1: 0.7664
sub_22:Test (Best Model) - Loss: 5.7617 - Accuracy: 0.5625 - F1: 0.5466
sub_23:Test (Best Model) - Loss: 26.9916 - Accuracy: 0.7576 - F1: 0.7273
sub_22:Test (Best Model) - Loss: 5.9679 - Accuracy: 0.7500 - F1: 0.7490
sub_23:Test (Best Model) - Loss: 24.2581 - Accuracy: 0.8182 - F1: 0.8036
sub_22:Test (Best Model) - Loss: 2.7949 - Accuracy: 0.7188 - F1: 0.7185
sub_27:Test (Best Model) - Loss: 0.2691 - Accuracy: 0.9091 - F1: 0.9088
sub_26:Test (Best Model) - Loss: 0.1127 - Accuracy: 0.9697 - F1: 0.9696
sub_25:Test (Best Model) - Loss: 4.2787 - Accuracy: 0.9091 - F1: 0.9091
sub_27:Test (Best Model) - Loss: 0.4611 - Accuracy: 0.8485 - F1: 0.8485
sub_26:Test (Best Model) - Loss: 0.2740 - Accuracy: 0.9091 - F1: 0.9091
sub_25:Test (Best Model) - Loss: 0.2214 - Accuracy: 0.9394 - F1: 0.9393
sub_27:Test (Best Model) - Loss: 1.2425 - Accuracy: 0.9091 - F1: 0.9088
sub_25:Test (Best Model) - Loss: 0.1880 - Accuracy: 0.9394 - F1: 0.9393
sub_26:Test (Best Model) - Loss: 0.3350 - Accuracy: 0.9394 - F1: 0.9393
sub_27:Test (Best Model) - Loss: 1.8510 - Accuracy: 0.8485 - F1: 0.8462
sub_25:Test (Best Model) - Loss: 0.3824 - Accuracy: 0.9091 - F1: 0.9091
sub_26:Test (Best Model) - Loss: 0.1306 - Accuracy: 0.9394 - F1: 0.9393
sub_27:Test (Best Model) - Loss: 0.1894 - Accuracy: 0.9091 - F1: 0.9088
sub_25:Test (Best Model) - Loss: 2.6550 - Accuracy: 0.8182 - F1: 0.8167
sub_27:Test (Best Model) - Loss: 0.5761 - Accuracy: 0.9091 - F1: 0.9088
sub_26:Test (Best Model) - Loss: 0.0996 - Accuracy: 0.9697 - F1: 0.9696
sub_25:Test (Best Model) - Loss: 0.7306 - Accuracy: 0.9688 - F1: 0.9680
sub_27:Test (Best Model) - Loss: 1.2704 - Accuracy: 0.9394 - F1: 0.9380
sub_26:Test (Best Model) - Loss: 0.0097 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.2811 - Accuracy: 0.9375 - F1: 0.9373
sub_26:Test (Best Model) - Loss: 0.1229 - Accuracy: 0.9688 - F1: 0.9685
sub_25:Test (Best Model) - Loss: 2.0474 - Accuracy: 0.8438 - F1: 0.8436
sub_27:Test (Best Model) - Loss: 0.5097 - Accuracy: 0.9394 - F1: 0.9389
sub_25:Test (Best Model) - Loss: 0.6948 - Accuracy: 0.9375 - F1: 0.9373
sub_27:Test (Best Model) - Loss: 0.5280 - Accuracy: 0.9394 - F1: 0.9380
sub_26:Test (Best Model) - Loss: 0.0200 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.4968 - Accuracy: 0.9697 - F1: 0.9692
sub_25:Test (Best Model) - Loss: 0.0208 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0006 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.7186 - Accuracy: 0.9062 - F1: 0.9039
sub_25:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0218 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.7160 - Accuracy: 0.9062 - F1: 0.9039
sub_26:Test (Best Model) - Loss: 0.9430 - Accuracy: 0.9062 - F1: 0.9015
sub_27:Test (Best Model) - Loss: 2.7020 - Accuracy: 0.8125 - F1: 0.7922
sub_25:Test (Best Model) - Loss: 0.0058 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 1.2130 - Accuracy: 0.8438 - F1: 0.8303
sub_26:Test (Best Model) - Loss: 0.8801 - Accuracy: 0.9375 - F1: 0.9352
sub_25:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 1.8941 - Accuracy: 0.8750 - F1: 0.8667
sub_25:Test (Best Model) - Loss: 0.4429 - Accuracy: 0.9688 - F1: 0.9680
sub_26:Test (Best Model) - Loss: 1.6095 - Accuracy: 0.9375 - F1: 0.9352
sub_26:Test (Best Model) - Loss: 0.0892 - Accuracy: 0.9688 - F1: 0.9680
sub_26:Test (Best Model) - Loss: 15.1974 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 0.3613 - Accuracy: 0.9375 - F1: 0.9373
sub_28:Test (Best Model) - Loss: 0.7567 - Accuracy: 0.8750 - F1: 0.8730
sub_29:Test (Best Model) - Loss: 0.0004 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 2.5206 - Accuracy: 0.8438 - F1: 0.8424
sub_29:Test (Best Model) - Loss: 0.4750 - Accuracy: 0.9375 - F1: 0.9373
sub_28:Test (Best Model) - Loss: 1.3041 - Accuracy: 0.8750 - F1: 0.8730
sub_29:Test (Best Model) - Loss: 1.3268 - Accuracy: 0.8125 - F1: 0.8118
sub_28:Test (Best Model) - Loss: 0.7970 - Accuracy: 0.8750 - F1: 0.8730
sub_29:Test (Best Model) - Loss: 2.5673 - Accuracy: 0.9062 - F1: 0.9039
sub_29:Test (Best Model) - Loss: 1.7465 - Accuracy: 0.8438 - F1: 0.8398
sub_28:Test (Best Model) - Loss: 1.6649 - Accuracy: 0.8125 - F1: 0.8125
sub_29:Test (Best Model) - Loss: 5.8470 - Accuracy: 0.8750 - F1: 0.8704
sub_28:Test (Best Model) - Loss: 0.0742 - Accuracy: 0.9688 - F1: 0.9685
sub_29:Test (Best Model) - Loss: 4.2456 - Accuracy: 0.8438 - F1: 0.8398
sub_28:Test (Best Model) - Loss: 0.1485 - Accuracy: 0.9688 - F1: 0.9685
sub_29:Test (Best Model) - Loss: 2.6149 - Accuracy: 0.8438 - F1: 0.8398
sub_28:Test (Best Model) - Loss: 0.0563 - Accuracy: 0.9688 - F1: 0.9685
sub_29:Test (Best Model) - Loss: 4.8534 - Accuracy: 0.7500 - F1: 0.7333
sub_28:Test (Best Model) - Loss: 0.0735 - Accuracy: 0.9688 - F1: 0.9685
sub_28:Test (Best Model) - Loss: 0.1302 - Accuracy: 0.9688 - F1: 0.9685
sub_29:Test (Best Model) - Loss: 0.4685 - Accuracy: 0.8485 - F1: 0.8479
sub_28:Test (Best Model) - Loss: 3.2440 - Accuracy: 0.7812 - F1: 0.7810
sub_29:Test (Best Model) - Loss: 0.0928 - Accuracy: 0.9394 - F1: 0.9380
sub_28:Test (Best Model) - Loss: 3.9602 - Accuracy: 0.8125 - F1: 0.8000
sub_29:Test (Best Model) - Loss: 0.3311 - Accuracy: 0.8788 - F1: 0.8787
sub_28:Test (Best Model) - Loss: 4.2888 - Accuracy: 0.7812 - F1: 0.7793
sub_29:Test (Best Model) - Loss: 0.2102 - Accuracy: 0.9697 - F1: 0.9692
sub_28:Test (Best Model) - Loss: 4.3905 - Accuracy: 0.8125 - F1: 0.8095
sub_28:Test (Best Model) - Loss: 5.0846 - Accuracy: 0.6875 - F1: 0.6875
sub_29:Test (Best Model) - Loss: 1.2485 - Accuracy: 0.8788 - F1: 0.8759

=== Summary Results ===

acc: 86.27 ± 6.74
F1: 85.44 ± 7.55
acc-in: 96.53 ± 2.62
F1-in: 96.41 ± 2.75
runing time: 1143.51 seconds
