lr: 1e-06
sub_1:Test (Best Model) - Loss: 1.3878 - Accuracy: 0.2647 - F1: 0.1047
sub_2:Test (Best Model) - Loss: 1.3816 - Accuracy: 0.2899 - F1: 0.1660
sub_3:Test (Best Model) - Loss: 1.3801 - Accuracy: 0.2500 - F1: 0.1202
sub_2:Test (Best Model) - Loss: 1.3692 - Accuracy: 0.2174 - F1: 0.0915
sub_1:Test (Best Model) - Loss: 1.3788 - Accuracy: 0.2059 - F1: 0.0875
sub_3:Test (Best Model) - Loss: 1.3799 - Accuracy: 0.2059 - F1: 0.0854
sub_1:Test (Best Model) - Loss: 1.3961 - Accuracy: 0.2206 - F1: 0.1780
sub_2:Test (Best Model) - Loss: 1.3645 - Accuracy: 0.5797 - F1: 0.5122
sub_3:Test (Best Model) - Loss: 1.3989 - Accuracy: 0.0735 - F1: 0.0385
sub_2:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_1:Test (Best Model) - Loss: 1.3799 - Accuracy: 0.2647 - F1: 0.1047
sub_3:Test (Best Model) - Loss: 1.3682 - Accuracy: 0.2647 - F1: 0.1047
sub_1:Test (Best Model) - Loss: 1.3935 - Accuracy: 0.1912 - F1: 0.1638
sub_2:Test (Best Model) - Loss: 1.3819 - Accuracy: 0.2754 - F1: 0.1954
sub_3:Test (Best Model) - Loss: 1.3898 - Accuracy: 0.2794 - F1: 0.2443
sub_3:Test (Best Model) - Loss: 1.3730 - Accuracy: 0.2319 - F1: 0.2018
sub_2:Test (Best Model) - Loss: 1.3675 - Accuracy: 0.4265 - F1: 0.3575
sub_1:Test (Best Model) - Loss: 1.3790 - Accuracy: 0.2899 - F1: 0.2270
sub_2:Test (Best Model) - Loss: 1.3808 - Accuracy: 0.4118 - F1: 0.2983
sub_3:Test (Best Model) - Loss: 1.3819 - Accuracy: 0.2464 - F1: 0.1663
sub_3:Test (Best Model) - Loss: 1.3740 - Accuracy: 0.2609 - F1: 0.1047
sub_1:Test (Best Model) - Loss: 1.3767 - Accuracy: 0.2899 - F1: 0.2190
sub_2:Test (Best Model) - Loss: 1.3723 - Accuracy: 0.3235 - F1: 0.2069
sub_1:Test (Best Model) - Loss: 1.3826 - Accuracy: 0.2609 - F1: 0.1294
sub_3:Test (Best Model) - Loss: 1.3746 - Accuracy: 0.2899 - F1: 0.2407
sub_1:Test (Best Model) - Loss: 1.3889 - Accuracy: 0.1449 - F1: 0.0846
sub_3:Test (Best Model) - Loss: 1.4075 - Accuracy: 0.2609 - F1: 0.1034
sub_1:Test (Best Model) - Loss: 1.3866 - Accuracy: 0.2609 - F1: 0.1034
sub_2:Test (Best Model) - Loss: 1.3706 - Accuracy: 0.2353 - F1: 0.1731
sub_3:Test (Best Model) - Loss: 1.4017 - Accuracy: 0.2319 - F1: 0.1199
sub_2:Test (Best Model) - Loss: 1.3812 - Accuracy: 0.2647 - F1: 0.1047
sub_1:Test (Best Model) - Loss: 1.3972 - Accuracy: 0.2500 - F1: 0.1655
sub_3:Test (Best Model) - Loss: 1.3601 - Accuracy: 0.2609 - F1: 0.1034
sub_2:Test (Best Model) - Loss: 1.3781 - Accuracy: 0.2319 - F1: 0.1369
sub_1:Test (Best Model) - Loss: 1.3665 - Accuracy: 0.2647 - F1: 0.1047
sub_3:Test (Best Model) - Loss: 1.4011 - Accuracy: 0.2174 - F1: 0.1415
sub_1:Test (Best Model) - Loss: 1.4049 - Accuracy: 0.2059 - F1: 0.1337
sub_2:Test (Best Model) - Loss: 1.3688 - Accuracy: 0.3333 - F1: 0.2322
sub_3:Test (Best Model) - Loss: 1.3863 - Accuracy: 0.2609 - F1: 0.1084
sub_1:Test (Best Model) - Loss: 1.3818 - Accuracy: 0.2794 - F1: 0.1392
sub_1:Test (Best Model) - Loss: 1.4068 - Accuracy: 0.1765 - F1: 0.1281
sub_3:Test (Best Model) - Loss: 1.4146 - Accuracy: 0.2464 - F1: 0.1252
sub_2:Test (Best Model) - Loss: 1.3739 - Accuracy: 0.4348 - F1: 0.3549
sub_2:Test (Best Model) - Loss: 1.3755 - Accuracy: 0.2609 - F1: 0.1047
sub_2:Test (Best Model) - Loss: 1.4046 - Accuracy: 0.1449 - F1: 0.1030
sub_4:Test (Best Model) - Loss: 1.3923 - Accuracy: 0.2609 - F1: 0.1034
sub_6:Test (Best Model) - Loss: 1.3948 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3965 - Accuracy: 0.2353 - F1: 0.1189
sub_4:Test (Best Model) - Loss: 1.3751 - Accuracy: 0.2174 - F1: 0.0949
sub_5:Test (Best Model) - Loss: 1.4180 - Accuracy: 0.2059 - F1: 0.0854
sub_6:Test (Best Model) - Loss: 1.3786 - Accuracy: 0.1912 - F1: 0.0813
sub_4:Test (Best Model) - Loss: 1.3962 - Accuracy: 0.2464 - F1: 0.1118
sub_6:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.2647 - F1: 0.1587
sub_4:Test (Best Model) - Loss: 1.3814 - Accuracy: 0.2609 - F1: 0.1034
sub_5:Test (Best Model) - Loss: 1.3845 - Accuracy: 0.2059 - F1: 0.1411
sub_6:Test (Best Model) - Loss: 1.3838 - Accuracy: 0.2647 - F1: 0.1047
sub_4:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2464 - F1: 0.1989
sub_5:Test (Best Model) - Loss: 1.3966 - Accuracy: 0.2647 - F1: 0.1059
sub_6:Test (Best Model) - Loss: 1.3775 - Accuracy: 0.3382 - F1: 0.2826
sub_5:Test (Best Model) - Loss: 1.4274 - Accuracy: 0.1176 - F1: 0.0858
sub_4:Test (Best Model) - Loss: 1.3777 - Accuracy: 0.2899 - F1: 0.2070
sub_5:Test (Best Model) - Loss: 1.4001 - Accuracy: 0.1029 - F1: 0.0851
sub_6:Test (Best Model) - Loss: 1.3781 - Accuracy: 0.2174 - F1: 0.1542
sub_4:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2754 - F1: 0.1310
sub_6:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.3768 - F1: 0.2859
sub_5:Test (Best Model) - Loss: 1.3780 - Accuracy: 0.2794 - F1: 0.1432
sub_4:Test (Best Model) - Loss: 1.3943 - Accuracy: 0.2464 - F1: 0.1000
sub_6:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.2464 - F1: 0.1226
sub_5:Test (Best Model) - Loss: 1.3864 - Accuracy: 0.2647 - F1: 0.1071
sub_4:Test (Best Model) - Loss: 1.3811 - Accuracy: 0.1739 - F1: 0.0942
sub_6:Test (Best Model) - Loss: 1.3824 - Accuracy: 0.2029 - F1: 0.1374
sub_5:Test (Best Model) - Loss: 1.3818 - Accuracy: 0.2353 - F1: 0.2129
sub_4:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.2609 - F1: 0.1034
sub_6:Test (Best Model) - Loss: 1.3908 - Accuracy: 0.2609 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3760 - Accuracy: 0.2647 - F1: 0.1047
sub_4:Test (Best Model) - Loss: 1.3965 - Accuracy: 0.2174 - F1: 0.0974
sub_6:Test (Best Model) - Loss: 1.3700 - Accuracy: 0.2174 - F1: 0.1321
sub_5:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.4706 - F1: 0.3511
sub_4:Test (Best Model) - Loss: 1.3746 - Accuracy: 0.2609 - F1: 0.1047
sub_6:Test (Best Model) - Loss: 1.3899 - Accuracy: 0.2899 - F1: 0.1559
sub_5:Test (Best Model) - Loss: 1.3787 - Accuracy: 0.2647 - F1: 0.1059
sub_5:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2647 - F1: 0.1169
sub_6:Test (Best Model) - Loss: 1.3692 - Accuracy: 0.3333 - F1: 0.2685
sub_4:Test (Best Model) - Loss: 1.3828 - Accuracy: 0.2174 - F1: 0.2016
sub_5:Test (Best Model) - Loss: 1.3871 - Accuracy: 0.2500 - F1: 0.1000
sub_6:Test (Best Model) - Loss: 1.3860 - Accuracy: 0.2609 - F1: 0.1034
sub_4:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2029 - F1: 0.0854
sub_5:Test (Best Model) - Loss: 1.3991 - Accuracy: 0.0882 - F1: 0.0708
sub_4:Test (Best Model) - Loss: 1.3836 - Accuracy: 0.3043 - F1: 0.1813
sub_6:Test (Best Model) - Loss: 1.3705 - Accuracy: 0.3333 - F1: 0.2281
sub_8:Test (Best Model) - Loss: 1.3867 - Accuracy: 0.2941 - F1: 0.1937
sub_9:Test (Best Model) - Loss: 1.3890 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3838 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3807 - Accuracy: 0.2059 - F1: 0.0854
sub_9:Test (Best Model) - Loss: 1.3743 - Accuracy: 0.2059 - F1: 0.0886
sub_8:Test (Best Model) - Loss: 1.3895 - Accuracy: 0.2059 - F1: 0.0854
sub_9:Test (Best Model) - Loss: 1.3902 - Accuracy: 0.2794 - F1: 0.1677
sub_8:Test (Best Model) - Loss: 1.3749 - Accuracy: 0.3971 - F1: 0.3217
sub_7:Test (Best Model) - Loss: 1.3608 - Accuracy: 0.3676 - F1: 0.3328
sub_9:Test (Best Model) - Loss: 1.3983 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3764 - Accuracy: 0.2794 - F1: 0.1392
sub_9:Test (Best Model) - Loss: 1.4005 - Accuracy: 0.3235 - F1: 0.2107
sub_7:Test (Best Model) - Loss: 1.3957 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3786 - Accuracy: 0.2500 - F1: 0.1714
sub_9:Test (Best Model) - Loss: 1.3781 - Accuracy: 0.1912 - F1: 0.1511
sub_7:Test (Best Model) - Loss: 1.3962 - Accuracy: 0.1176 - F1: 0.1070
sub_9:Test (Best Model) - Loss: 1.3796 - Accuracy: 0.3235 - F1: 0.2111
sub_7:Test (Best Model) - Loss: 1.3753 - Accuracy: 0.3676 - F1: 0.2870
sub_8:Test (Best Model) - Loss: 1.3563 - Accuracy: 0.2941 - F1: 0.1954
sub_9:Test (Best Model) - Loss: 1.3837 - Accuracy: 0.2794 - F1: 0.1444
sub_7:Test (Best Model) - Loss: 1.3789 - Accuracy: 0.2941 - F1: 0.2332
sub_9:Test (Best Model) - Loss: 1.3831 - Accuracy: 0.1471 - F1: 0.0641
sub_8:Test (Best Model) - Loss: 1.3648 - Accuracy: 0.3529 - F1: 0.2510
sub_9:Test (Best Model) - Loss: 1.3816 - Accuracy: 0.2794 - F1: 0.1392
sub_7:Test (Best Model) - Loss: 1.3831 - Accuracy: 0.3088 - F1: 0.2247
sub_9:Test (Best Model) - Loss: 1.3769 - Accuracy: 0.3235 - F1: 0.2451
sub_8:Test (Best Model) - Loss: 1.3814 - Accuracy: 0.2647 - F1: 0.1489
sub_7:Test (Best Model) - Loss: 1.3809 - Accuracy: 0.3971 - F1: 0.2917
sub_9:Test (Best Model) - Loss: 1.3749 - Accuracy: 0.2647 - F1: 0.1059
sub_8:Test (Best Model) - Loss: 1.3766 - Accuracy: 0.2647 - F1: 0.2070
sub_7:Test (Best Model) - Loss: 1.3828 - Accuracy: 0.3088 - F1: 0.1967
sub_9:Test (Best Model) - Loss: 1.3822 - Accuracy: 0.2059 - F1: 0.1045
sub_8:Test (Best Model) - Loss: 1.4135 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3700 - Accuracy: 0.2206 - F1: 0.1261
sub_9:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.1912 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3862 - Accuracy: 0.2206 - F1: 0.1083
sub_8:Test (Best Model) - Loss: 1.4035 - Accuracy: 0.1912 - F1: 0.0844
sub_9:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2500 - F1: 0.1755
sub_8:Test (Best Model) - Loss: 1.3763 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3717 - Accuracy: 0.3824 - F1: 0.3324
sub_8:Test (Best Model) - Loss: 1.3838 - Accuracy: 0.2500 - F1: 0.1458
sub_7:Test (Best Model) - Loss: 1.3807 - Accuracy: 0.2353 - F1: 0.1192
sub_8:Test (Best Model) - Loss: 1.3791 - Accuracy: 0.2500 - F1: 0.1012
sub_7:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2059 - F1: 0.1293
sub_8:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.3382 - F1: 0.2211
sub_10:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2647 - F1: 0.1059
sub_11:Test (Best Model) - Loss: 1.3898 - Accuracy: 0.2609 - F1: 0.1034
sub_12:Test (Best Model) - Loss: 1.3831 - Accuracy: 0.2647 - F1: 0.1059
sub_11:Test (Best Model) - Loss: 1.3585 - Accuracy: 0.2174 - F1: 0.0893
sub_10:Test (Best Model) - Loss: 1.3874 - Accuracy: 0.2059 - F1: 0.0864
sub_12:Test (Best Model) - Loss: 1.3714 - Accuracy: 0.2059 - F1: 0.0854
sub_10:Test (Best Model) - Loss: 1.4013 - Accuracy: 0.2206 - F1: 0.1677
sub_11:Test (Best Model) - Loss: 1.3791 - Accuracy: 0.2029 - F1: 0.1318
sub_12:Test (Best Model) - Loss: 1.3922 - Accuracy: 0.2500 - F1: 0.1864
sub_10:Test (Best Model) - Loss: 1.3936 - Accuracy: 0.2647 - F1: 0.1047
sub_11:Test (Best Model) - Loss: 1.3724 - Accuracy: 0.2609 - F1: 0.1034
sub_12:Test (Best Model) - Loss: 1.3775 - Accuracy: 0.2794 - F1: 0.1392
sub_12:Test (Best Model) - Loss: 1.3919 - Accuracy: 0.1618 - F1: 0.1230
sub_10:Test (Best Model) - Loss: 1.4127 - Accuracy: 0.2059 - F1: 0.1837
sub_11:Test (Best Model) - Loss: 1.3859 - Accuracy: 0.1014 - F1: 0.0821
sub_10:Test (Best Model) - Loss: 1.3960 - Accuracy: 0.2353 - F1: 0.1409
sub_12:Test (Best Model) - Loss: 1.3819 - Accuracy: 0.1739 - F1: 0.1179
sub_11:Test (Best Model) - Loss: 1.3796 - Accuracy: 0.3333 - F1: 0.3369
sub_10:Test (Best Model) - Loss: 1.3760 - Accuracy: 0.3235 - F1: 0.2264
sub_12:Test (Best Model) - Loss: 1.3899 - Accuracy: 0.2754 - F1: 0.1378
sub_10:Test (Best Model) - Loss: 1.4018 - Accuracy: 0.2647 - F1: 0.1059
sub_12:Test (Best Model) - Loss: 1.3817 - Accuracy: 0.2899 - F1: 0.1747
sub_10:Test (Best Model) - Loss: 1.3874 - Accuracy: 0.0735 - F1: 0.0524
sub_11:Test (Best Model) - Loss: 1.3775 - Accuracy: 0.4203 - F1: 0.3325
sub_12:Test (Best Model) - Loss: 1.3837 - Accuracy: 0.2029 - F1: 0.1271
sub_10:Test (Best Model) - Loss: 1.4322 - Accuracy: 0.2647 - F1: 0.1047
sub_12:Test (Best Model) - Loss: 1.3777 - Accuracy: 0.2609 - F1: 0.1034
sub_11:Test (Best Model) - Loss: 1.3865 - Accuracy: 0.2609 - F1: 0.1349
sub_10:Test (Best Model) - Loss: 1.3780 - Accuracy: 0.2174 - F1: 0.1190
sub_11:Test (Best Model) - Loss: 1.3816 - Accuracy: 0.2319 - F1: 0.2081
sub_12:Test (Best Model) - Loss: 1.3934 - Accuracy: 0.2059 - F1: 0.0854
sub_10:Test (Best Model) - Loss: 1.3803 - Accuracy: 0.2319 - F1: 0.0952
sub_11:Test (Best Model) - Loss: 1.3879 - Accuracy: 0.2609 - F1: 0.1034
sub_12:Test (Best Model) - Loss: 1.3714 - Accuracy: 0.2647 - F1: 0.1047
sub_10:Test (Best Model) - Loss: 1.3835 - Accuracy: 0.2029 - F1: 0.1309
sub_12:Test (Best Model) - Loss: 1.3933 - Accuracy: 0.2206 - F1: 0.1473
sub_10:Test (Best Model) - Loss: 1.3831 - Accuracy: 0.2029 - F1: 0.0843
sub_12:Test (Best Model) - Loss: 1.3860 - Accuracy: 0.2059 - F1: 0.0909
sub_11:Test (Best Model) - Loss: 1.3820 - Accuracy: 0.2174 - F1: 0.1102
sub_12:Test (Best Model) - Loss: 1.3952 - Accuracy: 0.2794 - F1: 0.1377
sub_10:Test (Best Model) - Loss: 1.3926 - Accuracy: 0.2754 - F1: 0.1538
sub_11:Test (Best Model) - Loss: 1.3828 - Accuracy: 0.2174 - F1: 0.1071
sub_11:Test (Best Model) - Loss: 1.3773 - Accuracy: 0.2754 - F1: 0.1447
sub_11:Test (Best Model) - Loss: 1.3810 - Accuracy: 0.2319 - F1: 0.1224
sub_11:Test (Best Model) - Loss: 1.3961 - Accuracy: 0.2464 - F1: 0.1250
sub_14:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3966 - Accuracy: 0.2647 - F1: 0.1047
sub_13:Test (Best Model) - Loss: 1.3914 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.2059 - F1: 0.0854
sub_15:Test (Best Model) - Loss: 1.3773 - Accuracy: 0.2059 - F1: 0.0854
sub_14:Test (Best Model) - Loss: 1.4005 - Accuracy: 0.2059 - F1: 0.0946
sub_13:Test (Best Model) - Loss: 1.3755 - Accuracy: 0.2059 - F1: 0.0864
sub_14:Test (Best Model) - Loss: 1.3676 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3925 - Accuracy: 0.2353 - F1: 0.1565
sub_13:Test (Best Model) - Loss: 1.3743 - Accuracy: 0.3824 - F1: 0.3103
sub_14:Test (Best Model) - Loss: 1.4073 - Accuracy: 0.2059 - F1: 0.1296
sub_13:Test (Best Model) - Loss: 1.3811 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3770 - Accuracy: 0.2647 - F1: 0.1047
sub_13:Test (Best Model) - Loss: 1.3951 - Accuracy: 0.2647 - F1: 0.2217
sub_15:Test (Best Model) - Loss: 1.3924 - Accuracy: 0.2500 - F1: 0.1973
sub_14:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.3676 - F1: 0.3379
sub_15:Test (Best Model) - Loss: 1.3811 - Accuracy: 0.2500 - F1: 0.2020
sub_13:Test (Best Model) - Loss: 1.3685 - Accuracy: 0.3913 - F1: 0.3434
sub_14:Test (Best Model) - Loss: 1.3833 - Accuracy: 0.2647 - F1: 0.1125
sub_13:Test (Best Model) - Loss: 1.3775 - Accuracy: 0.2899 - F1: 0.1843
sub_14:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.2647 - F1: 0.1612
sub_13:Test (Best Model) - Loss: 1.3931 - Accuracy: 0.2609 - F1: 0.1294
sub_15:Test (Best Model) - Loss: 1.3886 - Accuracy: 0.2059 - F1: 0.1259
sub_14:Test (Best Model) - Loss: 1.3996 - Accuracy: 0.1471 - F1: 0.0825
sub_13:Test (Best Model) - Loss: 1.3831 - Accuracy: 0.2319 - F1: 0.1446
sub_15:Test (Best Model) - Loss: 1.3889 - Accuracy: 0.1471 - F1: 0.0842
sub_13:Test (Best Model) - Loss: 1.3685 - Accuracy: 0.2609 - F1: 0.1034
sub_14:Test (Best Model) - Loss: 1.3884 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3843 - Accuracy: 0.2647 - F1: 0.1059
sub_14:Test (Best Model) - Loss: 1.3686 - Accuracy: 0.3529 - F1: 0.2627
sub_13:Test (Best Model) - Loss: 1.3894 - Accuracy: 0.2353 - F1: 0.1443
sub_15:Test (Best Model) - Loss: 1.3725 - Accuracy: 0.2353 - F1: 0.1331
sub_14:Test (Best Model) - Loss: 1.4032 - Accuracy: 0.2647 - F1: 0.1047
sub_13:Test (Best Model) - Loss: 1.3747 - Accuracy: 0.2794 - F1: 0.1321
sub_15:Test (Best Model) - Loss: 1.3880 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3778 - Accuracy: 0.3382 - F1: 0.2164
sub_15:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.1471 - F1: 0.0922
sub_13:Test (Best Model) - Loss: 1.3878 - Accuracy: 0.3088 - F1: 0.2224
sub_14:Test (Best Model) - Loss: 1.3950 - Accuracy: 0.2941 - F1: 0.1756
sub_15:Test (Best Model) - Loss: 1.3888 - Accuracy: 0.2353 - F1: 0.0964
sub_13:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3842 - Accuracy: 0.2647 - F1: 0.1098
sub_13:Test (Best Model) - Loss: 1.3915 - Accuracy: 0.2794 - F1: 0.1392
sub_15:Test (Best Model) - Loss: 1.3910 - Accuracy: 0.1912 - F1: 0.1017
sub_17:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.2609 - F1: 0.1034
sub_18:Test (Best Model) - Loss: 1.3919 - Accuracy: 0.2609 - F1: 0.1034
sub_16:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1059
sub_18:Test (Best Model) - Loss: 1.3876 - Accuracy: 0.2319 - F1: 0.1165
sub_17:Test (Best Model) - Loss: 1.3752 - Accuracy: 0.2029 - F1: 0.0843
sub_16:Test (Best Model) - Loss: 1.3829 - Accuracy: 0.2059 - F1: 0.0854
sub_18:Test (Best Model) - Loss: 1.3807 - Accuracy: 0.2319 - F1: 0.1790
sub_17:Test (Best Model) - Loss: 1.3861 - Accuracy: 0.2319 - F1: 0.1865
sub_16:Test (Best Model) - Loss: 1.3814 - Accuracy: 0.3676 - F1: 0.3148
sub_18:Test (Best Model) - Loss: 1.3728 - Accuracy: 0.2609 - F1: 0.1034
sub_17:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.2609 - F1: 0.1034
sub_16:Test (Best Model) - Loss: 1.3879 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.3887 - Accuracy: 0.3188 - F1: 0.2666
sub_17:Test (Best Model) - Loss: 1.3894 - Accuracy: 0.1884 - F1: 0.1635
sub_16:Test (Best Model) - Loss: 1.4004 - Accuracy: 0.2059 - F1: 0.1745
sub_18:Test (Best Model) - Loss: 1.3877 - Accuracy: 0.2500 - F1: 0.2452
sub_17:Test (Best Model) - Loss: 1.3783 - Accuracy: 0.2609 - F1: 0.2359
sub_17:Test (Best Model) - Loss: 1.3836 - Accuracy: 0.3478 - F1: 0.2232
sub_16:Test (Best Model) - Loss: 1.3886 - Accuracy: 0.2500 - F1: 0.1888
sub_17:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.2464 - F1: 0.1012
sub_18:Test (Best Model) - Loss: 1.3817 - Accuracy: 0.3088 - F1: 0.2304
sub_18:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.2647 - F1: 0.1047
sub_17:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.1594 - F1: 0.0917
sub_16:Test (Best Model) - Loss: 1.3836 - Accuracy: 0.2500 - F1: 0.1494
sub_18:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.1765 - F1: 0.0941
sub_17:Test (Best Model) - Loss: 1.3764 - Accuracy: 0.2609 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.2500 - F1: 0.1437
sub_18:Test (Best Model) - Loss: 1.4038 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3810 - Accuracy: 0.2941 - F1: 0.2086
sub_17:Test (Best Model) - Loss: 1.3805 - Accuracy: 0.1765 - F1: 0.0939
sub_18:Test (Best Model) - Loss: 1.3785 - Accuracy: 0.2794 - F1: 0.1818
sub_17:Test (Best Model) - Loss: 1.3800 - Accuracy: 0.2647 - F1: 0.1059
sub_16:Test (Best Model) - Loss: 1.3894 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.4150 - Accuracy: 0.2647 - F1: 0.1047
sub_17:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.3088 - F1: 0.2077
sub_18:Test (Best Model) - Loss: 1.3789 - Accuracy: 0.4118 - F1: 0.2952
sub_16:Test (Best Model) - Loss: 1.3897 - Accuracy: 0.1912 - F1: 0.0833
sub_18:Test (Best Model) - Loss: 1.3989 - Accuracy: 0.2647 - F1: 0.1047
sub_17:Test (Best Model) - Loss: 1.3883 - Accuracy: 0.2794 - F1: 0.1322
sub_16:Test (Best Model) - Loss: 1.3892 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.3918 - Accuracy: 0.0441 - F1: 0.0326
sub_16:Test (Best Model) - Loss: 1.3954 - Accuracy: 0.2500 - F1: 0.1629
sub_17:Test (Best Model) - Loss: 1.3822 - Accuracy: 0.2794 - F1: 0.1562
sub_16:Test (Best Model) - Loss: 1.3882 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 1.3750 - Accuracy: 0.3088 - F1: 0.1809
sub_19:Test (Best Model) - Loss: 1.3977 - Accuracy: 0.2647 - F1: 0.1047
sub_20:Test (Best Model) - Loss: 1.3980 - Accuracy: 0.2647 - F1: 0.1047
sub_21:Test (Best Model) - Loss: 1.3675 - Accuracy: 0.3088 - F1: 0.1980
sub_19:Test (Best Model) - Loss: 1.3871 - Accuracy: 0.1912 - F1: 0.0890
sub_21:Test (Best Model) - Loss: 1.3623 - Accuracy: 0.2059 - F1: 0.0854
sub_20:Test (Best Model) - Loss: 1.3632 - Accuracy: 0.4265 - F1: 0.2955
sub_19:Test (Best Model) - Loss: 1.3934 - Accuracy: 0.2647 - F1: 0.1683
sub_21:Test (Best Model) - Loss: 1.3595 - Accuracy: 0.3382 - F1: 0.2798
sub_21:Test (Best Model) - Loss: 1.3686 - Accuracy: 0.2647 - F1: 0.1047
sub_20:Test (Best Model) - Loss: 1.3901 - Accuracy: 0.2647 - F1: 0.1680
sub_19:Test (Best Model) - Loss: 1.3802 - Accuracy: 0.2647 - F1: 0.1047
sub_20:Test (Best Model) - Loss: 1.3892 - Accuracy: 0.2647 - F1: 0.1047
sub_21:Test (Best Model) - Loss: 1.3913 - Accuracy: 0.1176 - F1: 0.1198
sub_20:Test (Best Model) - Loss: 1.3826 - Accuracy: 0.2941 - F1: 0.2302
sub_19:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.3382 - F1: 0.2976
sub_21:Test (Best Model) - Loss: 1.3758 - Accuracy: 0.2059 - F1: 0.1426
sub_19:Test (Best Model) - Loss: 1.3925 - Accuracy: 0.1471 - F1: 0.0714
sub_21:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.3824 - F1: 0.2825
sub_19:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.2647 - F1: 0.1047
sub_20:Test (Best Model) - Loss: 1.3651 - Accuracy: 0.4412 - F1: 0.4079
sub_19:Test (Best Model) - Loss: 1.3915 - Accuracy: 0.2647 - F1: 0.1047
sub_21:Test (Best Model) - Loss: 1.3837 - Accuracy: 0.2206 - F1: 0.1435
sub_19:Test (Best Model) - Loss: 1.3826 - Accuracy: 0.2794 - F1: 0.2141
sub_20:Test (Best Model) - Loss: 1.3648 - Accuracy: 0.5000 - F1: 0.4360
sub_21:Test (Best Model) - Loss: 1.3736 - Accuracy: 0.2647 - F1: 0.1966
sub_19:Test (Best Model) - Loss: 1.3739 - Accuracy: 0.2647 - F1: 0.1047
sub_21:Test (Best Model) - Loss: 1.3762 - Accuracy: 0.2647 - F1: 0.1047
sub_20:Test (Best Model) - Loss: 1.3935 - Accuracy: 0.2500 - F1: 0.1024
sub_19:Test (Best Model) - Loss: 1.3756 - Accuracy: 0.2941 - F1: 0.2171
sub_21:Test (Best Model) - Loss: 1.3484 - Accuracy: 0.2059 - F1: 0.1014
sub_20:Test (Best Model) - Loss: 1.3826 - Accuracy: 0.2353 - F1: 0.1942
sub_20:Test (Best Model) - Loss: 1.3777 - Accuracy: 0.2647 - F1: 0.1047
sub_21:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.2941 - F1: 0.1571
sub_19:Test (Best Model) - Loss: 1.3775 - Accuracy: 0.2647 - F1: 0.1071
sub_20:Test (Best Model) - Loss: 1.4032 - Accuracy: 0.1739 - F1: 0.0870
sub_21:Test (Best Model) - Loss: 1.3821 - Accuracy: 0.1618 - F1: 0.0809
sub_19:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.3088 - F1: 0.1902
sub_20:Test (Best Model) - Loss: 1.3669 - Accuracy: 0.2609 - F1: 0.1034
sub_19:Test (Best Model) - Loss: 1.3811 - Accuracy: 0.2647 - F1: 0.1059
sub_21:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2794 - F1: 0.1384
sub_21:Test (Best Model) - Loss: 1.3879 - Accuracy: 0.2647 - F1: 0.1304
sub_19:Test (Best Model) - Loss: 1.3737 - Accuracy: 0.2794 - F1: 0.1750
sub_20:Test (Best Model) - Loss: 1.3683 - Accuracy: 0.3913 - F1: 0.2968
sub_20:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2464 - F1: 0.0988
sub_20:Test (Best Model) - Loss: 1.4009 - Accuracy: 0.3333 - F1: 0.2255
sub_24:Test (Best Model) - Loss: 1.3752 - Accuracy: 0.2794 - F1: 0.1392
sub_23:Test (Best Model) - Loss: 1.3845 - Accuracy: 0.2899 - F1: 0.1634
sub_22:Test (Best Model) - Loss: 1.3933 - Accuracy: 0.2647 - F1: 0.1047
sub_24:Test (Best Model) - Loss: 1.3804 - Accuracy: 0.2206 - F1: 0.1288
sub_23:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2174 - F1: 0.0904
sub_22:Test (Best Model) - Loss: 1.3871 - Accuracy: 0.2059 - F1: 0.0854
sub_24:Test (Best Model) - Loss: 1.3708 - Accuracy: 0.3971 - F1: 0.2986
sub_23:Test (Best Model) - Loss: 1.3841 - Accuracy: 0.2319 - F1: 0.1200
sub_22:Test (Best Model) - Loss: 1.3726 - Accuracy: 0.2647 - F1: 0.2120
sub_24:Test (Best Model) - Loss: 1.3756 - Accuracy: 0.2647 - F1: 0.1047
sub_23:Test (Best Model) - Loss: 1.3922 - Accuracy: 0.2609 - F1: 0.1034
sub_22:Test (Best Model) - Loss: 1.3743 - Accuracy: 0.2647 - F1: 0.1047
sub_23:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.3913 - F1: 0.3237
sub_24:Test (Best Model) - Loss: 1.4003 - Accuracy: 0.1912 - F1: 0.1218
sub_22:Test (Best Model) - Loss: 1.3894 - Accuracy: 0.1471 - F1: 0.1059
sub_24:Test (Best Model) - Loss: 1.3917 - Accuracy: 0.2500 - F1: 0.2004
sub_23:Test (Best Model) - Loss: 1.3721 - Accuracy: 0.4706 - F1: 0.4362
sub_22:Test (Best Model) - Loss: 1.3809 - Accuracy: 0.4058 - F1: 0.3575
sub_24:Test (Best Model) - Loss: 1.3836 - Accuracy: 0.2353 - F1: 0.1053
sub_24:Test (Best Model) - Loss: 1.3819 - Accuracy: 0.2500 - F1: 0.1300
sub_22:Test (Best Model) - Loss: 1.3804 - Accuracy: 0.3478 - F1: 0.2972
sub_23:Test (Best Model) - Loss: 1.3817 - Accuracy: 0.3088 - F1: 0.2235
sub_24:Test (Best Model) - Loss: 1.3827 - Accuracy: 0.3235 - F1: 0.2571
sub_22:Test (Best Model) - Loss: 1.3913 - Accuracy: 0.2609 - F1: 0.1059
sub_23:Test (Best Model) - Loss: 1.3915 - Accuracy: 0.2647 - F1: 0.1098
sub_24:Test (Best Model) - Loss: 1.3819 - Accuracy: 0.2647 - F1: 0.1084
sub_22:Test (Best Model) - Loss: 1.3808 - Accuracy: 0.1594 - F1: 0.0896
sub_23:Test (Best Model) - Loss: 1.3888 - Accuracy: 0.1618 - F1: 0.0887
sub_24:Test (Best Model) - Loss: 1.3957 - Accuracy: 0.3824 - F1: 0.2646
sub_22:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.2609 - F1: 0.1047
sub_23:Test (Best Model) - Loss: 1.3841 - Accuracy: 0.2647 - F1: 0.1047
sub_24:Test (Best Model) - Loss: 1.3797 - Accuracy: 0.3382 - F1: 0.2077
sub_22:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.1765 - F1: 0.0779
sub_23:Test (Best Model) - Loss: 1.3883 - Accuracy: 0.2174 - F1: 0.1042
sub_24:Test (Best Model) - Loss: 1.3988 - Accuracy: 0.2059 - F1: 0.1234
sub_22:Test (Best Model) - Loss: 1.3810 - Accuracy: 0.2647 - F1: 0.1047
sub_23:Test (Best Model) - Loss: 1.3677 - Accuracy: 0.2609 - F1: 0.1047
sub_24:Test (Best Model) - Loss: 1.3826 - Accuracy: 0.2500 - F1: 0.1000
sub_23:Test (Best Model) - Loss: 1.3975 - Accuracy: 0.2319 - F1: 0.1474
sub_22:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.3088 - F1: 0.2432
sub_24:Test (Best Model) - Loss: 1.3953 - Accuracy: 0.3088 - F1: 0.2094
sub_22:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1047
sub_23:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.2464 - F1: 0.1000
sub_23:Test (Best Model) - Loss: 1.3816 - Accuracy: 0.2899 - F1: 0.1684
sub_22:Test (Best Model) - Loss: 1.3791 - Accuracy: 0.3382 - F1: 0.2105
sub_25:Test (Best Model) - Loss: 1.3970 - Accuracy: 0.2609 - F1: 0.1034
sub_26:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2609 - F1: 0.1034
sub_27:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.2609 - F1: 0.1034
sub_25:Test (Best Model) - Loss: 1.3739 - Accuracy: 0.2464 - F1: 0.1392
sub_27:Test (Best Model) - Loss: 1.3752 - Accuracy: 0.2029 - F1: 0.0843
sub_26:Test (Best Model) - Loss: 1.3772 - Accuracy: 0.2464 - F1: 0.1415
sub_27:Test (Best Model) - Loss: 1.3861 - Accuracy: 0.2319 - F1: 0.1865
sub_26:Test (Best Model) - Loss: 1.3778 - Accuracy: 0.3043 - F1: 0.2590
sub_25:Test (Best Model) - Loss: 1.3697 - Accuracy: 0.3478 - F1: 0.2872
sub_27:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.2609 - F1: 0.1034
sub_26:Test (Best Model) - Loss: 1.3823 - Accuracy: 0.2609 - F1: 0.1034
sub_25:Test (Best Model) - Loss: 1.3797 - Accuracy: 0.2609 - F1: 0.1034
sub_27:Test (Best Model) - Loss: 1.3894 - Accuracy: 0.1884 - F1: 0.1635
sub_26:Test (Best Model) - Loss: 1.3774 - Accuracy: 0.3478 - F1: 0.2493
sub_25:Test (Best Model) - Loss: 1.3910 - Accuracy: 0.2609 - F1: 0.1427
sub_27:Test (Best Model) - Loss: 1.3783 - Accuracy: 0.2609 - F1: 0.2359
sub_26:Test (Best Model) - Loss: 1.3769 - Accuracy: 0.2353 - F1: 0.1667
sub_27:Test (Best Model) - Loss: 1.3836 - Accuracy: 0.3478 - F1: 0.2232
sub_26:Test (Best Model) - Loss: 1.3784 - Accuracy: 0.3676 - F1: 0.2451
sub_25:Test (Best Model) - Loss: 1.3749 - Accuracy: 0.4265 - F1: 0.3854
sub_27:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.2464 - F1: 0.1012
sub_26:Test (Best Model) - Loss: 1.3916 - Accuracy: 0.2647 - F1: 0.1059
sub_25:Test (Best Model) - Loss: 1.3825 - Accuracy: 0.4118 - F1: 0.3359
sub_27:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.1594 - F1: 0.0917
sub_25:Test (Best Model) - Loss: 1.3807 - Accuracy: 0.2500 - F1: 0.1062
sub_26:Test (Best Model) - Loss: 1.3773 - Accuracy: 0.1471 - F1: 0.0855
sub_27:Test (Best Model) - Loss: 1.3764 - Accuracy: 0.2609 - F1: 0.1047
sub_26:Test (Best Model) - Loss: 1.3770 - Accuracy: 0.2647 - F1: 0.1059
sub_27:Test (Best Model) - Loss: 1.3805 - Accuracy: 0.1765 - F1: 0.0939
sub_25:Test (Best Model) - Loss: 1.3776 - Accuracy: 0.2794 - F1: 0.2263
sub_26:Test (Best Model) - Loss: 1.3933 - Accuracy: 0.2500 - F1: 0.1499
sub_27:Test (Best Model) - Loss: 1.3800 - Accuracy: 0.2647 - F1: 0.1059
sub_25:Test (Best Model) - Loss: 1.3904 - Accuracy: 0.2647 - F1: 0.1059
sub_27:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.3088 - F1: 0.2077
sub_26:Test (Best Model) - Loss: 1.3804 - Accuracy: 0.2647 - F1: 0.1059
sub_25:Test (Best Model) - Loss: 1.3923 - Accuracy: 0.2059 - F1: 0.1186
sub_27:Test (Best Model) - Loss: 1.3883 - Accuracy: 0.2794 - F1: 0.1322
sub_25:Test (Best Model) - Loss: 1.3742 - Accuracy: 0.2794 - F1: 0.1322
sub_27:Test (Best Model) - Loss: 1.3822 - Accuracy: 0.2794 - F1: 0.1562
sub_26:Test (Best Model) - Loss: 1.3924 - Accuracy: 0.1765 - F1: 0.1775
sub_26:Test (Best Model) - Loss: 1.3860 - Accuracy: 0.2353 - F1: 0.0988
sub_26:Test (Best Model) - Loss: 1.3882 - Accuracy: 0.2647 - F1: 0.1650
sub_25:Test (Best Model) - Loss: 1.3782 - Accuracy: 0.3971 - F1: 0.3298
sub_25:Test (Best Model) - Loss: 1.3831 - Accuracy: 0.2941 - F1: 0.1598
sub_25:Test (Best Model) - Loss: 1.3865 - Accuracy: 0.2941 - F1: 0.1879
sub_29:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2647 - F1: 0.1059
sub_28:Test (Best Model) - Loss: 1.3832 - Accuracy: 0.2647 - F1: 0.1059
sub_29:Test (Best Model) - Loss: 1.3713 - Accuracy: 0.2059 - F1: 0.0854
sub_28:Test (Best Model) - Loss: 1.3745 - Accuracy: 0.2059 - F1: 0.0854
sub_29:Test (Best Model) - Loss: 1.3741 - Accuracy: 0.4706 - F1: 0.4072
sub_28:Test (Best Model) - Loss: 1.3865 - Accuracy: 0.2794 - F1: 0.1841
sub_29:Test (Best Model) - Loss: 1.3898 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3841 - Accuracy: 0.2500 - F1: 0.2293
sub_28:Test (Best Model) - Loss: 1.4003 - Accuracy: 0.2059 - F1: 0.1510
sub_29:Test (Best Model) - Loss: 1.3729 - Accuracy: 0.3382 - F1: 0.2796
sub_28:Test (Best Model) - Loss: 1.3777 - Accuracy: 0.4559 - F1: 0.4443
sub_29:Test (Best Model) - Loss: 1.3732 - Accuracy: 0.5294 - F1: 0.4803
sub_28:Test (Best Model) - Loss: 1.3860 - Accuracy: 0.2647 - F1: 0.1297
sub_29:Test (Best Model) - Loss: 1.3814 - Accuracy: 0.2647 - F1: 0.1059
sub_28:Test (Best Model) - Loss: 1.3817 - Accuracy: 0.2500 - F1: 0.1000
sub_29:Test (Best Model) - Loss: 1.3814 - Accuracy: 0.2353 - F1: 0.1690
sub_28:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.2500 - F1: 0.1591
sub_29:Test (Best Model) - Loss: 1.3949 - Accuracy: 0.2647 - F1: 0.1071
sub_29:Test (Best Model) - Loss: 1.3803 - Accuracy: 0.2174 - F1: 0.1014
sub_28:Test (Best Model) - Loss: 1.3838 - Accuracy: 0.2647 - F1: 0.1059
sub_29:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2464 - F1: 0.0988
sub_28:Test (Best Model) - Loss: 1.4253 - Accuracy: 0.2059 - F1: 0.0909
sub_28:Test (Best Model) - Loss: 1.3706 - Accuracy: 0.2059 - F1: 0.1023
sub_29:Test (Best Model) - Loss: 1.3783 - Accuracy: 0.3623 - F1: 0.3210
sub_29:Test (Best Model) - Loss: 1.3875 - Accuracy: 0.2464 - F1: 0.1482
sub_28:Test (Best Model) - Loss: 1.4072 - Accuracy: 0.3529 - F1: 0.2812
sub_29:Test (Best Model) - Loss: 1.3930 - Accuracy: 0.1739 - F1: 0.1196
sub_28:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2794 - F1: 0.1378
sub_28:Test (Best Model) - Loss: 1.4376 - Accuracy: 0.2941 - F1: 0.1637

=== Summary Results ===

acc: 26.21 ± 2.18
F1: 15.38 ± 2.25
acc-in: 26.30 ± 2.41
F1-in: 15.33 ± 2.63
runing time: 1474.92 seconds
