lr: 1e-06
sub_1:Test (Best Model) - Loss: 0.7461 - Accuracy: 0.4375 - F1: 0.3043
sub_3:Test (Best Model) - Loss: 0.6904 - Accuracy: 0.4375 - F1: 0.3043
sub_2:Test (Best Model) - Loss: 0.6908 - Accuracy: 0.4242 - F1: 0.2979
sub_3:Test (Best Model) - Loss: 0.6885 - Accuracy: 0.4688 - F1: 0.4555
sub_1:Test (Best Model) - Loss: 0.7363 - Accuracy: 0.4375 - F1: 0.4286
sub_2:Test (Best Model) - Loss: 0.6455 - Accuracy: 0.6364 - F1: 0.6333
sub_2:Test (Best Model) - Loss: 0.6864 - Accuracy: 0.3939 - F1: 0.3934
sub_3:Test (Best Model) - Loss: 0.7225 - Accuracy: 0.6875 - F1: 0.6135
sub_2:Test (Best Model) - Loss: 0.7515 - Accuracy: 0.3939 - F1: 0.3889
sub_1:Test (Best Model) - Loss: 0.6982 - Accuracy: 0.5312 - F1: 0.4684
sub_3:Test (Best Model) - Loss: 0.9698 - Accuracy: 0.2500 - F1: 0.2227
sub_2:Test (Best Model) - Loss: 0.6571 - Accuracy: 0.4545 - F1: 0.3125
sub_1:Test (Best Model) - Loss: 0.6809 - Accuracy: 0.5000 - F1: 0.4980
sub_3:Test (Best Model) - Loss: 0.6877 - Accuracy: 0.4375 - F1: 0.3043
sub_2:Test (Best Model) - Loss: 0.6954 - Accuracy: 0.5625 - F1: 0.5556
sub_1:Test (Best Model) - Loss: 0.7541 - Accuracy: 0.4375 - F1: 0.3043
sub_2:Test (Best Model) - Loss: 0.6845 - Accuracy: 0.5625 - F1: 0.4909
sub_3:Test (Best Model) - Loss: 0.7029 - Accuracy: 0.4242 - F1: 0.4221
sub_2:Test (Best Model) - Loss: 0.6995 - Accuracy: 0.4688 - F1: 0.4231
sub_3:Test (Best Model) - Loss: 0.6916 - Accuracy: 0.5455 - F1: 0.3529
sub_1:Test (Best Model) - Loss: 0.6937 - Accuracy: 0.3636 - F1: 0.3541
sub_2:Test (Best Model) - Loss: 0.7008 - Accuracy: 0.4375 - F1: 0.3043
sub_1:Test (Best Model) - Loss: 0.7024 - Accuracy: 0.5152 - F1: 0.3889
sub_3:Test (Best Model) - Loss: 0.6965 - Accuracy: 0.3636 - F1: 0.3541
sub_2:Test (Best Model) - Loss: 0.6975 - Accuracy: 0.4375 - F1: 0.3455
sub_1:Test (Best Model) - Loss: 0.7020 - Accuracy: 0.4848 - F1: 0.4848
sub_3:Test (Best Model) - Loss: 0.6850 - Accuracy: 0.4545 - F1: 0.3125
sub_2:Test (Best Model) - Loss: 0.6617 - Accuracy: 0.7879 - F1: 0.7664
sub_1:Test (Best Model) - Loss: 0.6823 - Accuracy: 0.4545 - F1: 0.3125
sub_3:Test (Best Model) - Loss: 0.6920 - Accuracy: 0.4242 - F1: 0.2979
sub_2:Test (Best Model) - Loss: 0.7008 - Accuracy: 0.3636 - F1: 0.3636
sub_1:Test (Best Model) - Loss: 0.6823 - Accuracy: 0.5455 - F1: 0.4762
sub_3:Test (Best Model) - Loss: 0.6571 - Accuracy: 0.6364 - F1: 0.5417
sub_2:Test (Best Model) - Loss: 0.6941 - Accuracy: 0.5152 - F1: 0.4762
sub_1:Test (Best Model) - Loss: 0.6520 - Accuracy: 0.6562 - F1: 0.5594
sub_2:Test (Best Model) - Loss: 0.7355 - Accuracy: 0.4545 - F1: 0.3125
sub_3:Test (Best Model) - Loss: 0.6793 - Accuracy: 0.5455 - F1: 0.4058
sub_1:Test (Best Model) - Loss: 0.7023 - Accuracy: 0.4375 - F1: 0.4000
sub_1:Test (Best Model) - Loss: 0.6975 - Accuracy: 0.4688 - F1: 0.4640
sub_2:Test (Best Model) - Loss: 0.6936 - Accuracy: 0.5455 - F1: 0.3529
sub_3:Test (Best Model) - Loss: 0.6948 - Accuracy: 0.4242 - F1: 0.4046
sub_1:Test (Best Model) - Loss: 0.7114 - Accuracy: 0.5312 - F1: 0.4684
sub_3:Test (Best Model) - Loss: 0.7245 - Accuracy: 0.4545 - F1: 0.3125
sub_1:Test (Best Model) - Loss: 0.6706 - Accuracy: 0.5625 - F1: 0.3600
sub_3:Test (Best Model) - Loss: 0.6852 - Accuracy: 0.5455 - F1: 0.3529
sub_5:Test (Best Model) - Loss: 0.7366 - Accuracy: 0.4688 - F1: 0.3637
sub_6:Test (Best Model) - Loss: 0.7960 - Accuracy: 0.4375 - F1: 0.3043
sub_4:Test (Best Model) - Loss: 0.6679 - Accuracy: 0.5152 - F1: 0.4261
sub_5:Test (Best Model) - Loss: 0.6868 - Accuracy: 0.5000 - F1: 0.4818
sub_4:Test (Best Model) - Loss: 0.6957 - Accuracy: 0.4545 - F1: 0.4540
sub_5:Test (Best Model) - Loss: 0.6457 - Accuracy: 0.6250 - F1: 0.5636
sub_6:Test (Best Model) - Loss: 0.8327 - Accuracy: 0.4688 - F1: 0.4421
sub_4:Test (Best Model) - Loss: 0.7148 - Accuracy: 0.3939 - F1: 0.3182
sub_4:Test (Best Model) - Loss: 0.7210 - Accuracy: 0.3636 - F1: 0.3239
sub_5:Test (Best Model) - Loss: 0.6360 - Accuracy: 0.5625 - F1: 0.3600
sub_6:Test (Best Model) - Loss: 0.6731 - Accuracy: 0.4375 - F1: 0.4375
sub_4:Test (Best Model) - Loss: 0.7194 - Accuracy: 0.4545 - F1: 0.3125
sub_5:Test (Best Model) - Loss: 0.7540 - Accuracy: 0.4375 - F1: 0.3043
sub_6:Test (Best Model) - Loss: 0.6866 - Accuracy: 0.5000 - F1: 0.4921
sub_5:Test (Best Model) - Loss: 0.7233 - Accuracy: 0.3438 - F1: 0.3108
sub_4:Test (Best Model) - Loss: 0.7274 - Accuracy: 0.3636 - F1: 0.2667
sub_6:Test (Best Model) - Loss: 0.8200 - Accuracy: 0.4375 - F1: 0.3043
sub_4:Test (Best Model) - Loss: 0.6681 - Accuracy: 0.5455 - F1: 0.3529
sub_5:Test (Best Model) - Loss: 0.6540 - Accuracy: 0.6250 - F1: 0.5000
sub_4:Test (Best Model) - Loss: 0.6648 - Accuracy: 0.8485 - F1: 0.8485
sub_6:Test (Best Model) - Loss: 0.7098 - Accuracy: 0.4848 - F1: 0.3718
sub_5:Test (Best Model) - Loss: 0.6890 - Accuracy: 0.6250 - F1: 0.6113
sub_4:Test (Best Model) - Loss: 0.7291 - Accuracy: 0.4545 - F1: 0.3125
sub_5:Test (Best Model) - Loss: 0.7105 - Accuracy: 0.4375 - F1: 0.3043
sub_6:Test (Best Model) - Loss: 0.6829 - Accuracy: 0.6061 - F1: 0.5460
sub_4:Test (Best Model) - Loss: 0.7126 - Accuracy: 0.4242 - F1: 0.2979
sub_5:Test (Best Model) - Loss: 0.7033 - Accuracy: 0.5000 - F1: 0.4182
sub_4:Test (Best Model) - Loss: 0.6774 - Accuracy: 0.4545 - F1: 0.4107
sub_5:Test (Best Model) - Loss: 0.6833 - Accuracy: 0.6875 - F1: 0.6364
sub_6:Test (Best Model) - Loss: 0.7232 - Accuracy: 0.3636 - F1: 0.3239
sub_4:Test (Best Model) - Loss: 0.6988 - Accuracy: 0.5152 - F1: 0.4762
sub_5:Test (Best Model) - Loss: 0.6930 - Accuracy: 0.5938 - F1: 0.5733
sub_6:Test (Best Model) - Loss: 0.7159 - Accuracy: 0.4545 - F1: 0.3125
sub_4:Test (Best Model) - Loss: 0.7072 - Accuracy: 0.4848 - F1: 0.4328
sub_5:Test (Best Model) - Loss: 0.6891 - Accuracy: 0.6250 - F1: 0.6235
sub_6:Test (Best Model) - Loss: 0.7260 - Accuracy: 0.4242 - F1: 0.2979
sub_4:Test (Best Model) - Loss: 0.7940 - Accuracy: 0.4848 - F1: 0.3718
sub_5:Test (Best Model) - Loss: 0.7037 - Accuracy: 0.4062 - F1: 0.2889
sub_6:Test (Best Model) - Loss: 0.6819 - Accuracy: 0.5152 - F1: 0.4762
sub_5:Test (Best Model) - Loss: 0.6942 - Accuracy: 0.5625 - F1: 0.3600
sub_4:Test (Best Model) - Loss: 0.6423 - Accuracy: 0.5455 - F1: 0.3529
sub_6:Test (Best Model) - Loss: 0.6783 - Accuracy: 0.5758 - F1: 0.5658
sub_6:Test (Best Model) - Loss: 0.6881 - Accuracy: 0.4848 - F1: 0.4063
sub_6:Test (Best Model) - Loss: 0.7335 - Accuracy: 0.3939 - F1: 0.3452
sub_6:Test (Best Model) - Loss: 0.6974 - Accuracy: 0.5455 - F1: 0.3529
sub_7:Test (Best Model) - Loss: 0.6927 - Accuracy: 0.4375 - F1: 0.3043
sub_9:Test (Best Model) - Loss: 0.6707 - Accuracy: 0.4375 - F1: 0.3043
sub_8:Test (Best Model) - Loss: 0.6774 - Accuracy: 0.4375 - F1: 0.3043
sub_7:Test (Best Model) - Loss: 0.7032 - Accuracy: 0.3125 - F1: 0.2874
sub_9:Test (Best Model) - Loss: 0.6542 - Accuracy: 0.7812 - F1: 0.7793
sub_7:Test (Best Model) - Loss: 0.6708 - Accuracy: 0.8125 - F1: 0.7922
sub_8:Test (Best Model) - Loss: 0.6881 - Accuracy: 0.5000 - F1: 0.4921
sub_9:Test (Best Model) - Loss: 0.7041 - Accuracy: 0.1875 - F1: 0.1843
sub_7:Test (Best Model) - Loss: 0.6968 - Accuracy: 0.3438 - F1: 0.3108
sub_8:Test (Best Model) - Loss: 0.7084 - Accuracy: 0.2812 - F1: 0.2633
sub_9:Test (Best Model) - Loss: 0.6983 - Accuracy: 0.7188 - F1: 0.6946
sub_7:Test (Best Model) - Loss: 0.7161 - Accuracy: 0.4375 - F1: 0.3043
sub_8:Test (Best Model) - Loss: 0.7259 - Accuracy: 0.3438 - F1: 0.2558
sub_9:Test (Best Model) - Loss: 0.6850 - Accuracy: 0.4375 - F1: 0.3043
sub_7:Test (Best Model) - Loss: 0.6969 - Accuracy: 0.5000 - F1: 0.4980
sub_8:Test (Best Model) - Loss: 0.7018 - Accuracy: 0.4375 - F1: 0.3043
sub_7:Test (Best Model) - Loss: 0.6975 - Accuracy: 0.6250 - F1: 0.5000
sub_9:Test (Best Model) - Loss: 0.6783 - Accuracy: 0.5312 - F1: 0.4684
sub_8:Test (Best Model) - Loss: 0.7076 - Accuracy: 0.4688 - F1: 0.4421
sub_7:Test (Best Model) - Loss: 0.6738 - Accuracy: 0.6250 - F1: 0.6113
sub_9:Test (Best Model) - Loss: 0.7079 - Accuracy: 0.5625 - F1: 0.4167
sub_8:Test (Best Model) - Loss: 0.6608 - Accuracy: 0.5625 - F1: 0.3600
sub_7:Test (Best Model) - Loss: 0.6749 - Accuracy: 0.5000 - F1: 0.4182
sub_9:Test (Best Model) - Loss: 0.6756 - Accuracy: 0.5000 - F1: 0.4459
sub_8:Test (Best Model) - Loss: 0.6615 - Accuracy: 0.7188 - F1: 0.7185
sub_7:Test (Best Model) - Loss: 0.6825 - Accuracy: 0.5000 - F1: 0.4459
sub_9:Test (Best Model) - Loss: 0.6758 - Accuracy: 0.4688 - F1: 0.3637
sub_8:Test (Best Model) - Loss: 0.7368 - Accuracy: 0.4375 - F1: 0.3043
sub_8:Test (Best Model) - Loss: 0.7205 - Accuracy: 0.4375 - F1: 0.3455
sub_9:Test (Best Model) - Loss: 0.8164 - Accuracy: 0.3750 - F1: 0.2727
sub_8:Test (Best Model) - Loss: 0.6329 - Accuracy: 0.6562 - F1: 0.5594
sub_7:Test (Best Model) - Loss: 0.6655 - Accuracy: 0.7188 - F1: 0.7163
sub_9:Test (Best Model) - Loss: 0.7067 - Accuracy: 0.5312 - F1: 0.4910
sub_9:Test (Best Model) - Loss: 0.6684 - Accuracy: 0.7500 - F1: 0.7091
sub_8:Test (Best Model) - Loss: 0.6607 - Accuracy: 0.7812 - F1: 0.7519
sub_7:Test (Best Model) - Loss: 0.7635 - Accuracy: 0.5312 - F1: 0.4910
sub_9:Test (Best Model) - Loss: 0.6691 - Accuracy: 0.8125 - F1: 0.8095
sub_7:Test (Best Model) - Loss: 0.6925 - Accuracy: 0.5938 - F1: 0.5733
sub_8:Test (Best Model) - Loss: 0.6731 - Accuracy: 0.6875 - F1: 0.6761
sub_8:Test (Best Model) - Loss: 0.7504 - Accuracy: 0.4062 - F1: 0.2889
sub_9:Test (Best Model) - Loss: 0.6936 - Accuracy: 0.3750 - F1: 0.3074
sub_7:Test (Best Model) - Loss: 0.6507 - Accuracy: 0.7500 - F1: 0.7490
sub_8:Test (Best Model) - Loss: 0.6775 - Accuracy: 0.5625 - F1: 0.3600
sub_9:Test (Best Model) - Loss: 0.8150 - Accuracy: 0.5625 - F1: 0.3600
sub_7:Test (Best Model) - Loss: 0.7159 - Accuracy: 0.5625 - F1: 0.3600
sub_12:Test (Best Model) - Loss: 0.6563 - Accuracy: 0.4375 - F1: 0.3043
sub_10:Test (Best Model) - Loss: 0.7028 - Accuracy: 0.4375 - F1: 0.3043
sub_11:Test (Best Model) - Loss: 0.6917 - Accuracy: 0.4545 - F1: 0.3125
sub_12:Test (Best Model) - Loss: 0.6919 - Accuracy: 0.4375 - F1: 0.4286
sub_10:Test (Best Model) - Loss: 0.6729 - Accuracy: 0.6562 - F1: 0.6476
sub_12:Test (Best Model) - Loss: 0.7357 - Accuracy: 0.4062 - F1: 0.3267
sub_10:Test (Best Model) - Loss: 0.6890 - Accuracy: 0.5312 - F1: 0.3992
sub_11:Test (Best Model) - Loss: 0.6853 - Accuracy: 0.4848 - F1: 0.4328
sub_12:Test (Best Model) - Loss: 0.7272 - Accuracy: 0.5000 - F1: 0.4182
sub_10:Test (Best Model) - Loss: 0.6939 - Accuracy: 0.4375 - F1: 0.3455
sub_11:Test (Best Model) - Loss: 0.7263 - Accuracy: 0.5152 - F1: 0.4261
sub_12:Test (Best Model) - Loss: 0.6700 - Accuracy: 0.4375 - F1: 0.3043
sub_11:Test (Best Model) - Loss: 0.7141 - Accuracy: 0.5455 - F1: 0.4995
sub_10:Test (Best Model) - Loss: 0.7051 - Accuracy: 0.4375 - F1: 0.3043
sub_10:Test (Best Model) - Loss: 0.7748 - Accuracy: 0.4375 - F1: 0.3766
sub_11:Test (Best Model) - Loss: 0.6950 - Accuracy: 0.4545 - F1: 0.3125
sub_12:Test (Best Model) - Loss: 0.7215 - Accuracy: 0.4545 - F1: 0.3125
sub_10:Test (Best Model) - Loss: 0.6837 - Accuracy: 0.5625 - F1: 0.3600
sub_12:Test (Best Model) - Loss: 0.6861 - Accuracy: 0.5152 - F1: 0.4261
sub_11:Test (Best Model) - Loss: 0.6948 - Accuracy: 0.4848 - F1: 0.4527
sub_10:Test (Best Model) - Loss: 0.5162 - Accuracy: 0.7188 - F1: 0.6632
sub_12:Test (Best Model) - Loss: 0.7178 - Accuracy: 0.4848 - F1: 0.4527
sub_11:Test (Best Model) - Loss: 0.6973 - Accuracy: 0.6364 - F1: 0.5696
sub_10:Test (Best Model) - Loss: 0.8697 - Accuracy: 0.4375 - F1: 0.3043
sub_12:Test (Best Model) - Loss: 0.6858 - Accuracy: 0.4545 - F1: 0.3125
sub_11:Test (Best Model) - Loss: 0.6916 - Accuracy: 0.5455 - F1: 0.5387
sub_10:Test (Best Model) - Loss: 0.9440 - Accuracy: 0.4375 - F1: 0.3043
sub_12:Test (Best Model) - Loss: 0.7687 - Accuracy: 0.4242 - F1: 0.2979
sub_11:Test (Best Model) - Loss: 0.6840 - Accuracy: 0.5455 - F1: 0.4762
sub_12:Test (Best Model) - Loss: 0.6800 - Accuracy: 0.5000 - F1: 0.4182
sub_10:Test (Best Model) - Loss: 0.6788 - Accuracy: 0.6061 - F1: 0.5196
sub_11:Test (Best Model) - Loss: 0.6831 - Accuracy: 0.5455 - F1: 0.4762
sub_12:Test (Best Model) - Loss: 0.7018 - Accuracy: 0.4688 - F1: 0.4640
sub_10:Test (Best Model) - Loss: 0.6803 - Accuracy: 0.7273 - F1: 0.7102
sub_12:Test (Best Model) - Loss: 0.7008 - Accuracy: 0.4375 - F1: 0.3455
sub_11:Test (Best Model) - Loss: 0.6800 - Accuracy: 0.6364 - F1: 0.6360
sub_10:Test (Best Model) - Loss: 0.6970 - Accuracy: 0.6364 - F1: 0.6192
sub_12:Test (Best Model) - Loss: 0.6887 - Accuracy: 0.5625 - F1: 0.5152
sub_11:Test (Best Model) - Loss: 0.6673 - Accuracy: 0.6364 - F1: 0.5417
sub_10:Test (Best Model) - Loss: 0.7649 - Accuracy: 0.4848 - F1: 0.3718
sub_12:Test (Best Model) - Loss: 0.7319 - Accuracy: 0.5625 - F1: 0.3600
sub_11:Test (Best Model) - Loss: 0.6968 - Accuracy: 0.5152 - F1: 0.4545
sub_10:Test (Best Model) - Loss: 0.7026 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 0.7198 - Accuracy: 0.4242 - F1: 0.2979
sub_11:Test (Best Model) - Loss: 0.6834 - Accuracy: 0.5455 - F1: 0.3529
sub_13:Test (Best Model) - Loss: 0.6960 - Accuracy: 0.4375 - F1: 0.3043
sub_14:Test (Best Model) - Loss: 0.9783 - Accuracy: 0.4375 - F1: 0.3043
sub_15:Test (Best Model) - Loss: 0.7938 - Accuracy: 0.4375 - F1: 0.3043
sub_14:Test (Best Model) - Loss: 0.7994 - Accuracy: 0.4375 - F1: 0.3043
sub_13:Test (Best Model) - Loss: 0.6822 - Accuracy: 0.6250 - F1: 0.6000
sub_15:Test (Best Model) - Loss: 0.7606 - Accuracy: 0.3438 - F1: 0.3379
sub_13:Test (Best Model) - Loss: 0.6720 - Accuracy: 0.7500 - F1: 0.7229
sub_14:Test (Best Model) - Loss: 0.7248 - Accuracy: 0.5625 - F1: 0.3600
sub_13:Test (Best Model) - Loss: 0.7256 - Accuracy: 0.3750 - F1: 0.3074
sub_15:Test (Best Model) - Loss: 0.6317 - Accuracy: 0.5938 - F1: 0.5393
sub_14:Test (Best Model) - Loss: 0.7448 - Accuracy: 0.4688 - F1: 0.3637
sub_13:Test (Best Model) - Loss: 0.6895 - Accuracy: 0.4688 - F1: 0.3637
sub_15:Test (Best Model) - Loss: 0.6384 - Accuracy: 0.6875 - F1: 0.6135
sub_14:Test (Best Model) - Loss: 0.7246 - Accuracy: 0.4688 - F1: 0.3637
sub_13:Test (Best Model) - Loss: 0.7073 - Accuracy: 0.4848 - F1: 0.4328
sub_15:Test (Best Model) - Loss: 0.8438 - Accuracy: 0.4688 - F1: 0.3637
sub_13:Test (Best Model) - Loss: 0.6296 - Accuracy: 0.6667 - F1: 0.5935
sub_14:Test (Best Model) - Loss: 0.7018 - Accuracy: 0.4375 - F1: 0.3455
sub_15:Test (Best Model) - Loss: 0.7009 - Accuracy: 0.4062 - F1: 0.3552
sub_15:Test (Best Model) - Loss: 0.6787 - Accuracy: 0.5938 - F1: 0.4793
sub_14:Test (Best Model) - Loss: 0.6715 - Accuracy: 0.6875 - F1: 0.6135
sub_13:Test (Best Model) - Loss: 0.6435 - Accuracy: 0.6970 - F1: 0.6827
sub_15:Test (Best Model) - Loss: 0.6774 - Accuracy: 0.7188 - F1: 0.7185
sub_14:Test (Best Model) - Loss: 0.6800 - Accuracy: 0.6250 - F1: 0.6235
sub_13:Test (Best Model) - Loss: 0.7229 - Accuracy: 0.5455 - F1: 0.4762
sub_15:Test (Best Model) - Loss: 0.7083 - Accuracy: 0.4375 - F1: 0.3043
sub_13:Test (Best Model) - Loss: 0.7329 - Accuracy: 0.5152 - F1: 0.4762
sub_15:Test (Best Model) - Loss: 0.7088 - Accuracy: 0.4688 - F1: 0.3637
sub_14:Test (Best Model) - Loss: 0.7155 - Accuracy: 0.4375 - F1: 0.3043
sub_15:Test (Best Model) - Loss: 0.6857 - Accuracy: 0.5312 - F1: 0.5077
sub_14:Test (Best Model) - Loss: 0.7322 - Accuracy: 0.4375 - F1: 0.3043
sub_13:Test (Best Model) - Loss: 1.5787 - Accuracy: 0.5625 - F1: 0.4167
sub_15:Test (Best Model) - Loss: 0.6694 - Accuracy: 0.7500 - F1: 0.7091
sub_14:Test (Best Model) - Loss: 0.6633 - Accuracy: 0.5000 - F1: 0.4182
sub_13:Test (Best Model) - Loss: 0.6557 - Accuracy: 0.4375 - F1: 0.3766
sub_14:Test (Best Model) - Loss: 0.6785 - Accuracy: 0.5625 - F1: 0.3600
sub_15:Test (Best Model) - Loss: 0.6767 - Accuracy: 0.8750 - F1: 0.8745
sub_14:Test (Best Model) - Loss: 0.6739 - Accuracy: 0.8125 - F1: 0.8118
sub_13:Test (Best Model) - Loss: 0.6457 - Accuracy: 0.6250 - F1: 0.5844
sub_15:Test (Best Model) - Loss: 0.7540 - Accuracy: 0.3750 - F1: 0.3074
sub_14:Test (Best Model) - Loss: 0.6965 - Accuracy: 0.5625 - F1: 0.5333
sub_13:Test (Best Model) - Loss: 0.6922 - Accuracy: 0.4375 - F1: 0.3043
sub_15:Test (Best Model) - Loss: 0.7221 - Accuracy: 0.5625 - F1: 0.3600
sub_14:Test (Best Model) - Loss: 0.6899 - Accuracy: 0.5625 - F1: 0.3600
sub_13:Test (Best Model) - Loss: 1.8638 - Accuracy: 0.5625 - F1: 0.3600
sub_17:Test (Best Model) - Loss: 0.6846 - Accuracy: 0.4545 - F1: 0.3125
sub_18:Test (Best Model) - Loss: 1.0882 - Accuracy: 0.4545 - F1: 0.3125
sub_16:Test (Best Model) - Loss: 0.6862 - Accuracy: 0.4375 - F1: 0.3043
sub_17:Test (Best Model) - Loss: 0.6785 - Accuracy: 0.6061 - F1: 0.6046
sub_16:Test (Best Model) - Loss: 0.6936 - Accuracy: 0.5312 - F1: 0.5195
sub_18:Test (Best Model) - Loss: 0.7415 - Accuracy: 0.3939 - F1: 0.3797
sub_17:Test (Best Model) - Loss: 0.6779 - Accuracy: 0.7879 - F1: 0.7746
sub_16:Test (Best Model) - Loss: 0.6848 - Accuracy: 0.5938 - F1: 0.5733
sub_18:Test (Best Model) - Loss: 0.6260 - Accuracy: 0.6667 - F1: 0.6159
sub_16:Test (Best Model) - Loss: 0.7037 - Accuracy: 0.3750 - F1: 0.3651
sub_17:Test (Best Model) - Loss: 0.7001 - Accuracy: 0.7273 - F1: 0.6997
sub_18:Test (Best Model) - Loss: 0.6717 - Accuracy: 0.5758 - F1: 0.5558
sub_16:Test (Best Model) - Loss: 0.6930 - Accuracy: 0.4375 - F1: 0.3043
sub_17:Test (Best Model) - Loss: 0.6892 - Accuracy: 0.4545 - F1: 0.3125
sub_18:Test (Best Model) - Loss: 0.9414 - Accuracy: 0.4545 - F1: 0.3125
sub_16:Test (Best Model) - Loss: 0.7040 - Accuracy: 0.4062 - F1: 0.3914
sub_18:Test (Best Model) - Loss: 0.6941 - Accuracy: 0.5000 - F1: 0.5000
sub_17:Test (Best Model) - Loss: 0.6956 - Accuracy: 0.4545 - F1: 0.4107
sub_16:Test (Best Model) - Loss: 0.7009 - Accuracy: 0.5938 - F1: 0.4793
sub_18:Test (Best Model) - Loss: 0.6388 - Accuracy: 0.6250 - F1: 0.5000
sub_17:Test (Best Model) - Loss: 0.6927 - Accuracy: 0.4848 - F1: 0.4328
sub_16:Test (Best Model) - Loss: 0.6972 - Accuracy: 0.5000 - F1: 0.4667
sub_18:Test (Best Model) - Loss: 0.6701 - Accuracy: 0.8125 - F1: 0.8118
sub_16:Test (Best Model) - Loss: 0.7032 - Accuracy: 0.4375 - F1: 0.3043
sub_17:Test (Best Model) - Loss: 0.6961 - Accuracy: 0.3939 - F1: 0.3452
sub_18:Test (Best Model) - Loss: 0.7121 - Accuracy: 0.4688 - F1: 0.3637
sub_17:Test (Best Model) - Loss: 0.6898 - Accuracy: 0.4848 - F1: 0.3718
sub_16:Test (Best Model) - Loss: 0.7155 - Accuracy: 0.4062 - F1: 0.2889
sub_18:Test (Best Model) - Loss: 0.6938 - Accuracy: 0.5312 - F1: 0.4684
sub_17:Test (Best Model) - Loss: 0.6964 - Accuracy: 0.4545 - F1: 0.3125
sub_18:Test (Best Model) - Loss: 0.6598 - Accuracy: 0.5625 - F1: 0.4589
sub_16:Test (Best Model) - Loss: 0.7753 - Accuracy: 0.6562 - F1: 0.6102
sub_18:Test (Best Model) - Loss: 0.6722 - Accuracy: 0.6250 - F1: 0.6113
sub_16:Test (Best Model) - Loss: 0.7328 - Accuracy: 0.5625 - F1: 0.4589
sub_17:Test (Best Model) - Loss: 0.6983 - Accuracy: 0.5000 - F1: 0.4667
sub_18:Test (Best Model) - Loss: 0.6966 - Accuracy: 0.5312 - F1: 0.5195
sub_16:Test (Best Model) - Loss: 0.7073 - Accuracy: 0.4062 - F1: 0.4010
sub_18:Test (Best Model) - Loss: 0.7395 - Accuracy: 0.4688 - F1: 0.3637
sub_17:Test (Best Model) - Loss: 0.6726 - Accuracy: 0.6250 - F1: 0.6000
sub_18:Test (Best Model) - Loss: 0.6419 - Accuracy: 0.5625 - F1: 0.3600
sub_16:Test (Best Model) - Loss: 0.6403 - Accuracy: 0.5312 - F1: 0.4684
sub_16:Test (Best Model) - Loss: 0.8218 - Accuracy: 0.5625 - F1: 0.3600
sub_17:Test (Best Model) - Loss: 0.6825 - Accuracy: 0.5000 - F1: 0.5000
sub_17:Test (Best Model) - Loss: 0.6869 - Accuracy: 0.5000 - F1: 0.4459
sub_17:Test (Best Model) - Loss: 0.7196 - Accuracy: 0.5625 - F1: 0.3600
sub_19:Test (Best Model) - Loss: 0.7325 - Accuracy: 0.4375 - F1: 0.3043
sub_20:Test (Best Model) - Loss: 0.6731 - Accuracy: 0.4375 - F1: 0.3043
sub_21:Test (Best Model) - Loss: 0.6950 - Accuracy: 0.4375 - F1: 0.3043
sub_19:Test (Best Model) - Loss: 0.6957 - Accuracy: 0.6875 - F1: 0.6863
sub_20:Test (Best Model) - Loss: 0.6685 - Accuracy: 0.8125 - F1: 0.8057
sub_21:Test (Best Model) - Loss: 0.6971 - Accuracy: 0.5000 - F1: 0.4459
sub_19:Test (Best Model) - Loss: 0.6841 - Accuracy: 0.5625 - F1: 0.5333
sub_20:Test (Best Model) - Loss: 0.7040 - Accuracy: 0.3125 - F1: 0.3125
sub_19:Test (Best Model) - Loss: 0.6771 - Accuracy: 0.5938 - F1: 0.4793
sub_21:Test (Best Model) - Loss: 0.6571 - Accuracy: 0.6250 - F1: 0.5000
sub_20:Test (Best Model) - Loss: 0.7030 - Accuracy: 0.4062 - F1: 0.2889
sub_19:Test (Best Model) - Loss: 0.7235 - Accuracy: 0.4375 - F1: 0.3043
sub_20:Test (Best Model) - Loss: 0.6934 - Accuracy: 0.4375 - F1: 0.3043
sub_21:Test (Best Model) - Loss: 0.7488 - Accuracy: 0.3125 - F1: 0.2874
sub_19:Test (Best Model) - Loss: 0.6893 - Accuracy: 0.5312 - F1: 0.5077
sub_21:Test (Best Model) - Loss: 0.7192 - Accuracy: 0.4375 - F1: 0.3043
sub_20:Test (Best Model) - Loss: 0.6913 - Accuracy: 0.4375 - F1: 0.3455
sub_20:Test (Best Model) - Loss: 0.6893 - Accuracy: 0.6562 - F1: 0.5883
sub_21:Test (Best Model) - Loss: 0.8170 - Accuracy: 0.6250 - F1: 0.6190
sub_20:Test (Best Model) - Loss: 0.6849 - Accuracy: 0.5625 - F1: 0.5608
sub_19:Test (Best Model) - Loss: 0.6910 - Accuracy: 0.5625 - F1: 0.4589
sub_21:Test (Best Model) - Loss: 0.6932 - Accuracy: 0.5938 - F1: 0.4340
sub_20:Test (Best Model) - Loss: 0.6819 - Accuracy: 0.4375 - F1: 0.3043
sub_19:Test (Best Model) - Loss: 0.6546 - Accuracy: 0.7500 - F1: 0.7460
sub_21:Test (Best Model) - Loss: 0.6586 - Accuracy: 0.6875 - F1: 0.6825
sub_20:Test (Best Model) - Loss: 0.6812 - Accuracy: 0.4375 - F1: 0.3455
sub_19:Test (Best Model) - Loss: 0.6899 - Accuracy: 0.4688 - F1: 0.3637
sub_21:Test (Best Model) - Loss: 0.7679 - Accuracy: 0.5625 - F1: 0.5152
sub_20:Test (Best Model) - Loss: 0.6608 - Accuracy: 0.6364 - F1: 0.6071
sub_19:Test (Best Model) - Loss: 0.6765 - Accuracy: 0.5000 - F1: 0.4182
sub_21:Test (Best Model) - Loss: 1.1400 - Accuracy: 0.3438 - F1: 0.2874
sub_19:Test (Best Model) - Loss: 0.7626 - Accuracy: 0.4062 - F1: 0.2889
sub_20:Test (Best Model) - Loss: 0.6874 - Accuracy: 0.5758 - F1: 0.5417
sub_21:Test (Best Model) - Loss: 0.6897 - Accuracy: 0.6250 - F1: 0.6235
sub_20:Test (Best Model) - Loss: 0.7008 - Accuracy: 0.4848 - F1: 0.4527
sub_19:Test (Best Model) - Loss: 0.6859 - Accuracy: 0.7500 - F1: 0.7229
sub_20:Test (Best Model) - Loss: 0.7825 - Accuracy: 0.4545 - F1: 0.3125
sub_19:Test (Best Model) - Loss: 0.6893 - Accuracy: 0.4375 - F1: 0.4286
sub_21:Test (Best Model) - Loss: 0.6950 - Accuracy: 0.5938 - F1: 0.5393
sub_20:Test (Best Model) - Loss: 0.6226 - Accuracy: 0.5455 - F1: 0.3529
sub_19:Test (Best Model) - Loss: 0.6315 - Accuracy: 0.5000 - F1: 0.4182
sub_19:Test (Best Model) - Loss: 0.7584 - Accuracy: 0.5625 - F1: 0.3600
sub_21:Test (Best Model) - Loss: 0.6877 - Accuracy: 0.7188 - F1: 0.7163
sub_21:Test (Best Model) - Loss: 0.6885 - Accuracy: 0.4375 - F1: 0.3766
sub_21:Test (Best Model) - Loss: 0.7283 - Accuracy: 0.4688 - F1: 0.3191
sub_23:Test (Best Model) - Loss: 0.7091 - Accuracy: 0.4545 - F1: 0.3125
sub_23:Test (Best Model) - Loss: 0.6795 - Accuracy: 0.6667 - F1: 0.6459
sub_22:Test (Best Model) - Loss: 0.7520 - Accuracy: 0.5312 - F1: 0.4684
sub_24:Test (Best Model) - Loss: 0.7378 - Accuracy: 0.4375 - F1: 0.3043
sub_23:Test (Best Model) - Loss: 0.7004 - Accuracy: 0.3030 - F1: 0.2792
sub_22:Test (Best Model) - Loss: 0.6848 - Accuracy: 0.5938 - F1: 0.5934
sub_24:Test (Best Model) - Loss: 0.7081 - Accuracy: 0.2812 - F1: 0.2805
sub_23:Test (Best Model) - Loss: 0.6764 - Accuracy: 0.6970 - F1: 0.6726
sub_22:Test (Best Model) - Loss: 0.6411 - Accuracy: 0.6875 - F1: 0.6537
sub_24:Test (Best Model) - Loss: 0.7469 - Accuracy: 0.4062 - F1: 0.4010
sub_23:Test (Best Model) - Loss: 0.7045 - Accuracy: 0.4545 - F1: 0.3125
sub_24:Test (Best Model) - Loss: 0.7076 - Accuracy: 0.5625 - F1: 0.4167
sub_22:Test (Best Model) - Loss: 0.6613 - Accuracy: 0.5625 - F1: 0.5152
sub_24:Test (Best Model) - Loss: 0.7120 - Accuracy: 0.4375 - F1: 0.3043
sub_23:Test (Best Model) - Loss: 0.7858 - Accuracy: 0.4062 - F1: 0.3764
sub_22:Test (Best Model) - Loss: 0.8606 - Accuracy: 0.4375 - F1: 0.3043
sub_23:Test (Best Model) - Loss: 0.6683 - Accuracy: 0.5000 - F1: 0.4459
sub_24:Test (Best Model) - Loss: 0.6946 - Accuracy: 0.6250 - F1: 0.6000
sub_22:Test (Best Model) - Loss: 0.7032 - Accuracy: 0.4545 - F1: 0.4417
sub_23:Test (Best Model) - Loss: 0.6850 - Accuracy: 0.5625 - F1: 0.5333
sub_22:Test (Best Model) - Loss: 0.6922 - Accuracy: 0.4545 - F1: 0.3125
sub_24:Test (Best Model) - Loss: 0.6666 - Accuracy: 0.5938 - F1: 0.4340
sub_23:Test (Best Model) - Loss: 0.7586 - Accuracy: 0.4375 - F1: 0.3043
sub_22:Test (Best Model) - Loss: 0.6755 - Accuracy: 0.5758 - F1: 0.5754
sub_24:Test (Best Model) - Loss: 0.6825 - Accuracy: 0.5312 - F1: 0.5195
sub_23:Test (Best Model) - Loss: 0.6813 - Accuracy: 0.5938 - F1: 0.5589
sub_22:Test (Best Model) - Loss: 0.7008 - Accuracy: 0.4848 - F1: 0.3718
sub_24:Test (Best Model) - Loss: 0.6930 - Accuracy: 0.5000 - F1: 0.4182
sub_23:Test (Best Model) - Loss: 0.6825 - Accuracy: 0.4545 - F1: 0.3125
sub_22:Test (Best Model) - Loss: 0.6932 - Accuracy: 0.4242 - F1: 0.2979
sub_24:Test (Best Model) - Loss: 0.6896 - Accuracy: 0.5625 - F1: 0.5152
sub_22:Test (Best Model) - Loss: 0.6711 - Accuracy: 0.6562 - F1: 0.5883
sub_23:Test (Best Model) - Loss: 0.6345 - Accuracy: 0.6364 - F1: 0.5909
sub_24:Test (Best Model) - Loss: 0.6161 - Accuracy: 0.6250 - F1: 0.5000
sub_23:Test (Best Model) - Loss: 0.6777 - Accuracy: 0.6970 - F1: 0.6967
sub_22:Test (Best Model) - Loss: 0.7158 - Accuracy: 0.4062 - F1: 0.3914
sub_24:Test (Best Model) - Loss: 0.6953 - Accuracy: 0.4062 - F1: 0.3267
sub_22:Test (Best Model) - Loss: 0.7184 - Accuracy: 0.5000 - F1: 0.4667
sub_23:Test (Best Model) - Loss: 0.7891 - Accuracy: 0.4545 - F1: 0.3125
sub_23:Test (Best Model) - Loss: 0.5954 - Accuracy: 0.5455 - F1: 0.3529
sub_24:Test (Best Model) - Loss: 0.7049 - Accuracy: 0.6250 - F1: 0.6190
sub_22:Test (Best Model) - Loss: 0.8347 - Accuracy: 0.3750 - F1: 0.2727
sub_24:Test (Best Model) - Loss: 0.7866 - Accuracy: 0.4688 - F1: 0.4231
sub_22:Test (Best Model) - Loss: 0.6076 - Accuracy: 0.5625 - F1: 0.3600
sub_24:Test (Best Model) - Loss: 0.6298 - Accuracy: 0.5938 - F1: 0.4340
sub_25:Test (Best Model) - Loss: 0.6977 - Accuracy: 0.4545 - F1: 0.3125
sub_27:Test (Best Model) - Loss: 0.6846 - Accuracy: 0.4545 - F1: 0.3125
sub_25:Test (Best Model) - Loss: 0.6919 - Accuracy: 0.5758 - F1: 0.5722
sub_26:Test (Best Model) - Loss: 0.7118 - Accuracy: 0.4545 - F1: 0.3125
sub_27:Test (Best Model) - Loss: 0.6785 - Accuracy: 0.6061 - F1: 0.6046
sub_25:Test (Best Model) - Loss: 0.6775 - Accuracy: 0.6667 - F1: 0.6459
sub_27:Test (Best Model) - Loss: 0.6779 - Accuracy: 0.7879 - F1: 0.7746
sub_26:Test (Best Model) - Loss: 0.6682 - Accuracy: 0.7576 - F1: 0.7556
sub_25:Test (Best Model) - Loss: 0.7022 - Accuracy: 0.5455 - F1: 0.4457
sub_27:Test (Best Model) - Loss: 0.7001 - Accuracy: 0.7273 - F1: 0.6997
sub_26:Test (Best Model) - Loss: 0.6844 - Accuracy: 0.3636 - F1: 0.3636
sub_25:Test (Best Model) - Loss: 0.6929 - Accuracy: 0.4545 - F1: 0.3125
sub_27:Test (Best Model) - Loss: 0.6892 - Accuracy: 0.4545 - F1: 0.3125
sub_26:Test (Best Model) - Loss: 0.6666 - Accuracy: 0.7273 - F1: 0.7102
sub_25:Test (Best Model) - Loss: 0.6899 - Accuracy: 0.5312 - F1: 0.5077
sub_26:Test (Best Model) - Loss: 0.7173 - Accuracy: 0.4545 - F1: 0.3125
sub_27:Test (Best Model) - Loss: 0.6956 - Accuracy: 0.4545 - F1: 0.4107
sub_25:Test (Best Model) - Loss: 0.7119 - Accuracy: 0.5625 - F1: 0.4167
sub_27:Test (Best Model) - Loss: 0.6927 - Accuracy: 0.4848 - F1: 0.4328
sub_25:Test (Best Model) - Loss: 0.6875 - Accuracy: 0.4375 - F1: 0.4170
sub_26:Test (Best Model) - Loss: 0.6956 - Accuracy: 0.3750 - F1: 0.3522
sub_25:Test (Best Model) - Loss: 0.6913 - Accuracy: 0.4688 - F1: 0.3637
sub_27:Test (Best Model) - Loss: 0.6961 - Accuracy: 0.3939 - F1: 0.3452
sub_26:Test (Best Model) - Loss: 0.6786 - Accuracy: 0.4688 - F1: 0.3637
sub_25:Test (Best Model) - Loss: 0.6946 - Accuracy: 0.4375 - F1: 0.3043
sub_27:Test (Best Model) - Loss: 0.6898 - Accuracy: 0.4848 - F1: 0.3718
sub_26:Test (Best Model) - Loss: 0.6792 - Accuracy: 0.5625 - F1: 0.5608
sub_25:Test (Best Model) - Loss: 0.6499 - Accuracy: 0.6875 - F1: 0.6135
sub_27:Test (Best Model) - Loss: 0.6964 - Accuracy: 0.4545 - F1: 0.3125
sub_26:Test (Best Model) - Loss: 0.7871 - Accuracy: 0.4375 - F1: 0.3043
sub_25:Test (Best Model) - Loss: 0.6348 - Accuracy: 0.7188 - F1: 0.6811
sub_26:Test (Best Model) - Loss: 0.7326 - Accuracy: 0.4375 - F1: 0.3455
sub_27:Test (Best Model) - Loss: 0.6983 - Accuracy: 0.5000 - F1: 0.4667
sub_25:Test (Best Model) - Loss: 0.6878 - Accuracy: 0.6250 - F1: 0.6190
sub_26:Test (Best Model) - Loss: 0.6286 - Accuracy: 0.6562 - F1: 0.5594
sub_25:Test (Best Model) - Loss: 0.8066 - Accuracy: 0.4062 - F1: 0.2889
sub_26:Test (Best Model) - Loss: 0.6091 - Accuracy: 0.6875 - F1: 0.6364
sub_27:Test (Best Model) - Loss: 0.6726 - Accuracy: 0.6250 - F1: 0.6000
sub_25:Test (Best Model) - Loss: 0.6110 - Accuracy: 0.5625 - F1: 0.3600
sub_26:Test (Best Model) - Loss: 0.6739 - Accuracy: 0.8125 - F1: 0.8125
sub_27:Test (Best Model) - Loss: 0.6825 - Accuracy: 0.5000 - F1: 0.5000
sub_26:Test (Best Model) - Loss: 0.8512 - Accuracy: 0.3750 - F1: 0.3074
sub_27:Test (Best Model) - Loss: 0.6869 - Accuracy: 0.5000 - F1: 0.4459
sub_26:Test (Best Model) - Loss: 0.6126 - Accuracy: 0.5938 - F1: 0.4340
sub_27:Test (Best Model) - Loss: 0.7196 - Accuracy: 0.5625 - F1: 0.3600
sub_28:Test (Best Model) - Loss: 0.6987 - Accuracy: 0.4375 - F1: 0.3043
sub_29:Test (Best Model) - Loss: 0.6599 - Accuracy: 0.4375 - F1: 0.3043
sub_28:Test (Best Model) - Loss: 0.6838 - Accuracy: 0.4062 - F1: 0.4010
sub_29:Test (Best Model) - Loss: 0.6666 - Accuracy: 0.5938 - F1: 0.5901
sub_28:Test (Best Model) - Loss: 0.6829 - Accuracy: 0.7500 - F1: 0.7409
sub_29:Test (Best Model) - Loss: 0.6938 - Accuracy: 0.5625 - F1: 0.5333
sub_28:Test (Best Model) - Loss: 0.6966 - Accuracy: 0.4688 - F1: 0.4231
sub_29:Test (Best Model) - Loss: 0.7193 - Accuracy: 0.3438 - F1: 0.2874
sub_28:Test (Best Model) - Loss: 0.6925 - Accuracy: 0.4375 - F1: 0.3043
sub_29:Test (Best Model) - Loss: 0.6805 - Accuracy: 0.4375 - F1: 0.3043
sub_29:Test (Best Model) - Loss: 0.7302 - Accuracy: 0.3438 - F1: 0.2874
sub_28:Test (Best Model) - Loss: 0.6972 - Accuracy: 0.3750 - F1: 0.3651
sub_28:Test (Best Model) - Loss: 0.6571 - Accuracy: 0.6250 - F1: 0.5362
sub_29:Test (Best Model) - Loss: 0.6766 - Accuracy: 0.5000 - F1: 0.3333
sub_28:Test (Best Model) - Loss: 0.6862 - Accuracy: 0.5938 - F1: 0.5934
sub_29:Test (Best Model) - Loss: 0.6569 - Accuracy: 0.8438 - F1: 0.8436
sub_28:Test (Best Model) - Loss: 0.7093 - Accuracy: 0.4688 - F1: 0.3637
sub_29:Test (Best Model) - Loss: 0.6997 - Accuracy: 0.4375 - F1: 0.3043
sub_28:Test (Best Model) - Loss: 0.7311 - Accuracy: 0.3750 - F1: 0.2727
sub_29:Test (Best Model) - Loss: 0.6947 - Accuracy: 0.4375 - F1: 0.3455
sub_28:Test (Best Model) - Loss: 0.6002 - Accuracy: 0.5625 - F1: 0.3600
sub_29:Test (Best Model) - Loss: 0.6738 - Accuracy: 0.7576 - F1: 0.7381
sub_28:Test (Best Model) - Loss: 0.6288 - Accuracy: 0.6250 - F1: 0.6250
sub_29:Test (Best Model) - Loss: 0.7080 - Accuracy: 0.7273 - F1: 0.7102
sub_29:Test (Best Model) - Loss: 0.7519 - Accuracy: 0.4848 - F1: 0.3718
sub_28:Test (Best Model) - Loss: 0.5288 - Accuracy: 0.8125 - F1: 0.8000
sub_29:Test (Best Model) - Loss: 0.7031 - Accuracy: 0.5152 - F1: 0.4261
sub_28:Test (Best Model) - Loss: 1.5550 - Accuracy: 0.4375 - F1: 0.3043
sub_29:Test (Best Model) - Loss: 0.6835 - Accuracy: 0.5455 - F1: 0.3529
sub_28:Test (Best Model) - Loss: 0.7373 - Accuracy: 0.5625 - F1: 0.3600

=== Summary Results ===

acc: 52.14 ± 2.40
F1: 44.20 ± 2.84
acc-in: 49.80 ± 2.45
F1-in: 42.30 ± 2.79
runing time: 1000.26 seconds
