lr: 1e-05
sub_14:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.2647 - F1: 0.1047
sub_13:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.2647 - F1: 0.1047
sub_3:Test (Best Model) - Loss: 1.3876 - Accuracy: 0.2647 - F1: 0.1047
sub_6:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2647 - F1: 0.1047
sub_11:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2609 - F1: 0.1034
sub_15:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.2647 - F1: 0.1047
sub_1:Test (Best Model) - Loss: 1.3871 - Accuracy: 0.2647 - F1: 0.1047
sub_4:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.2609 - F1: 0.1034
sub_10:Test (Best Model) - Loss: 1.3871 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.2647 - F1: 0.1047
sub_9:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3878 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.2647 - F1: 0.1047
sub_2:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2609 - F1: 0.1034
sub_12:Test (Best Model) - Loss: 1.3865 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3873 - Accuracy: 0.2647 - F1: 0.1047
sub_13:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.2647 - F1: 0.1047
sub_3:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2647 - F1: 0.1047
sub_6:Test (Best Model) - Loss: 1.3871 - Accuracy: 0.2647 - F1: 0.1047
sub_1:Test (Best Model) - Loss: 1.3866 - Accuracy: 0.2647 - F1: 0.1047
sub_4:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.2609 - F1: 0.1034
sub_11:Test (Best Model) - Loss: 1.3874 - Accuracy: 0.2609 - F1: 0.1034
sub_15:Test (Best Model) - Loss: 1.3862 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3861 - Accuracy: 0.2647 - F1: 0.1047
sub_10:Test (Best Model) - Loss: 1.3864 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2647 - F1: 0.1047
sub_9:Test (Best Model) - Loss: 1.3876 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3865 - Accuracy: 0.2647 - F1: 0.1047
sub_2:Test (Best Model) - Loss: 1.3874 - Accuracy: 0.2609 - F1: 0.1034
sub_12:Test (Best Model) - Loss: 1.3871 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3886 - Accuracy: 0.2794 - F1: 0.1392
sub_13:Test (Best Model) - Loss: 1.3884 - Accuracy: 0.2647 - F1: 0.1047
sub_3:Test (Best Model) - Loss: 1.3888 - Accuracy: 0.2647 - F1: 0.1047
sub_6:Test (Best Model) - Loss: 1.3873 - Accuracy: 0.2647 - F1: 0.1047
sub_4:Test (Best Model) - Loss: 1.3865 - Accuracy: 0.2609 - F1: 0.1034
sub_1:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.2647 - F1: 0.1047
sub_11:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2609 - F1: 0.1034
sub_5:Test (Best Model) - Loss: 1.3879 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3889 - Accuracy: 0.2500 - F1: 0.1000
sub_8:Test (Best Model) - Loss: 1.3876 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.2647 - F1: 0.1047
sub_10:Test (Best Model) - Loss: 1.3877 - Accuracy: 0.2647 - F1: 0.1047
sub_9:Test (Best Model) - Loss: 1.3873 - Accuracy: 0.2647 - F1: 0.1047
sub_2:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.2609 - F1: 0.1034
sub_12:Test (Best Model) - Loss: 1.3859 - Accuracy: 0.2794 - F1: 0.1612
sub_14:Test (Best Model) - Loss: 1.3861 - Accuracy: 0.2647 - F1: 0.1047
sub_4:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.2609 - F1: 0.1034
sub_13:Test (Best Model) - Loss: 1.3864 - Accuracy: 0.2647 - F1: 0.1047
sub_3:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2647 - F1: 0.1047
sub_6:Test (Best Model) - Loss: 1.3874 - Accuracy: 0.2647 - F1: 0.1047
sub_1:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2647 - F1: 0.1047
sub_11:Test (Best Model) - Loss: 1.3871 - Accuracy: 0.2609 - F1: 0.1034
sub_15:Test (Best Model) - Loss: 1.3866 - Accuracy: 0.2647 - F1: 0.1047
sub_10:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3860 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3875 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1047
sub_9:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.2647 - F1: 0.1047
sub_2:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.2609 - F1: 0.1034
sub_12:Test (Best Model) - Loss: 1.3867 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_4:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2609 - F1: 0.1034
sub_3:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_13:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_10:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1047
sub_6:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2647 - F1: 0.1047
sub_1:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3845 - Accuracy: 0.2647 - F1: 0.1047
sub_11:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_15:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3845 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2647 - F1: 0.1047
sub_9:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1047
sub_2:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.2609 - F1: 0.1034
sub_12:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.2647 - F1: 0.1047
sub_4:Test (Best Model) - Loss: 1.3821 - Accuracy: 0.2609 - F1: 0.1034
sub_6:Test (Best Model) - Loss: 1.3830 - Accuracy: 0.2609 - F1: 0.1034
sub_10:Test (Best Model) - Loss: 1.3838 - Accuracy: 0.2647 - F1: 0.1047
sub_1:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2609 - F1: 0.1034
sub_3:Test (Best Model) - Loss: 1.3838 - Accuracy: 0.2609 - F1: 0.1034
sub_13:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.2609 - F1: 0.1034
sub_11:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2609 - F1: 0.1034
sub_7:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3814 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3811 - Accuracy: 0.2647 - F1: 0.1047
sub_9:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3829 - Accuracy: 0.2647 - F1: 0.1047
sub_2:Test (Best Model) - Loss: 1.3833 - Accuracy: 0.2647 - F1: 0.1047
sub_12:Test (Best Model) - Loss: 1.3825 - Accuracy: 0.2609 - F1: 0.1034
sub_14:Test (Best Model) - Loss: 1.3861 - Accuracy: 0.2647 - F1: 0.1047
sub_11:Test (Best Model) - Loss: 1.3862 - Accuracy: 0.2609 - F1: 0.1034
sub_4:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2609 - F1: 0.1034
sub_10:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2647 - F1: 0.1047
sub_6:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.2609 - F1: 0.1034
sub_1:Test (Best Model) - Loss: 1.3865 - Accuracy: 0.2609 - F1: 0.1034
sub_3:Test (Best Model) - Loss: 1.3863 - Accuracy: 0.2609 - F1: 0.1034
sub_9:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.2647 - F1: 0.1047
sub_13:Test (Best Model) - Loss: 1.3867 - Accuracy: 0.2609 - F1: 0.1034
sub_7:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3861 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3859 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2647 - F1: 0.1047
sub_2:Test (Best Model) - Loss: 1.3864 - Accuracy: 0.2647 - F1: 0.1047
sub_12:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_14:Test (Best Model) - Loss: 1.3821 - Accuracy: 0.2647 - F1: 0.1047
sub_1:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.2609 - F1: 0.1034
sub_10:Test (Best Model) - Loss: 1.3833 - Accuracy: 0.2647 - F1: 0.1047
sub_11:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2609 - F1: 0.1047
sub_3:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_15:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.2647 - F1: 0.1047
sub_13:Test (Best Model) - Loss: 1.3822 - Accuracy: 0.2609 - F1: 0.1034
sub_9:Test (Best Model) - Loss: 1.3828 - Accuracy: 0.2647 - F1: 0.1047
sub_2:Test (Best Model) - Loss: 1.3823 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3819 - Accuracy: 0.2647 - F1: 0.1047
sub_6:Test (Best Model) - Loss: 1.3842 - Accuracy: 0.2609 - F1: 0.1034
sub_4:Test (Best Model) - Loss: 1.3815 - Accuracy: 0.2609 - F1: 0.1034
sub_12:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2609 - F1: 0.1034
sub_7:Test (Best Model) - Loss: 1.3814 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3825 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3831 - Accuracy: 0.2206 - F1: 0.1406
sub_10:Test (Best Model) - Loss: 1.3830 - Accuracy: 0.2059 - F1: 0.1229
sub_1:Test (Best Model) - Loss: 1.3812 - Accuracy: 0.3043 - F1: 0.2030
sub_13:Test (Best Model) - Loss: 1.3837 - Accuracy: 0.1884 - F1: 0.1245
sub_11:Test (Best Model) - Loss: 1.3826 - Accuracy: 0.2609 - F1: 0.1608
sub_15:Test (Best Model) - Loss: 1.3823 - Accuracy: 0.3088 - F1: 0.1917
sub_3:Test (Best Model) - Loss: 1.3831 - Accuracy: 0.4203 - F1: 0.3360
sub_9:Test (Best Model) - Loss: 1.3811 - Accuracy: 0.2059 - F1: 0.1076
sub_12:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.2319 - F1: 0.1067
sub_14:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.2647 - F1: 0.1047
sub_10:Test (Best Model) - Loss: 1.3842 - Accuracy: 0.2647 - F1: 0.1047
sub_4:Test (Best Model) - Loss: 1.3829 - Accuracy: 0.3043 - F1: 0.1786
sub_1:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2609 - F1: 0.1034
sub_13:Test (Best Model) - Loss: 1.3838 - Accuracy: 0.2609 - F1: 0.1034
sub_15:Test (Best Model) - Loss: 1.3843 - Accuracy: 0.2647 - F1: 0.1047
sub_11:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.2609 - F1: 0.1034
sub_8:Test (Best Model) - Loss: 1.3796 - Accuracy: 0.5294 - F1: 0.4338
sub_6:Test (Best Model) - Loss: 1.3822 - Accuracy: 0.2609 - F1: 0.1047
sub_3:Test (Best Model) - Loss: 1.3866 - Accuracy: 0.2609 - F1: 0.1034
sub_9:Test (Best Model) - Loss: 1.3823 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3815 - Accuracy: 0.2647 - F1: 0.1233
sub_7:Test (Best Model) - Loss: 1.3806 - Accuracy: 0.2647 - F1: 0.1233
sub_2:Test (Best Model) - Loss: 1.3789 - Accuracy: 0.2794 - F1: 0.1372
sub_12:Test (Best Model) - Loss: 1.3838 - Accuracy: 0.2609 - F1: 0.1034
sub_4:Test (Best Model) - Loss: 1.3822 - Accuracy: 0.2609 - F1: 0.1034
sub_6:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2609 - F1: 0.1034
sub_8:Test (Best Model) - Loss: 1.3825 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3842 - Accuracy: 0.2647 - F1: 0.1047
sub_1:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3865 - Accuracy: 0.4118 - F1: 0.3196
sub_7:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.2647 - F1: 0.1047
sub_2:Test (Best Model) - Loss: 1.3831 - Accuracy: 0.2647 - F1: 0.1047
sub_10:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2609 - F1: 0.1034
sub_13:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3866 - Accuracy: 0.3529 - F1: 0.2625
sub_9:Test (Best Model) - Loss: 1.3864 - Accuracy: 0.3088 - F1: 0.1967
sub_3:Test (Best Model) - Loss: 1.3859 - Accuracy: 0.2609 - F1: 0.1034
sub_11:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.3043 - F1: 0.1874
sub_12:Test (Best Model) - Loss: 1.3843 - Accuracy: 0.4412 - F1: 0.3524
sub_1:Test (Best Model) - Loss: 1.3884 - Accuracy: 0.2206 - F1: 0.0987
sub_8:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.4118 - F1: 0.2768
sub_6:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.2609 - F1: 0.1034
sub_4:Test (Best Model) - Loss: 1.3865 - Accuracy: 0.3478 - F1: 0.2540
sub_9:Test (Best Model) - Loss: 1.3867 - Accuracy: 0.3676 - F1: 0.2902
sub_3:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.2319 - F1: 0.1159
sub_11:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.2754 - F1: 0.1712
sub_14:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2647 - F1: 0.1047
sub_10:Test (Best Model) - Loss: 1.3867 - Accuracy: 0.2899 - F1: 0.1653
sub_5:Test (Best Model) - Loss: 1.3837 - Accuracy: 0.3971 - F1: 0.3125
sub_2:Test (Best Model) - Loss: 1.3859 - Accuracy: 0.3478 - F1: 0.2598
sub_1:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.2647 - F1: 0.1047
sub_13:Test (Best Model) - Loss: 1.3860 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3843 - Accuracy: 0.4559 - F1: 0.3509
sub_6:Test (Best Model) - Loss: 1.3859 - Accuracy: 0.2464 - F1: 0.0988
sub_15:Test (Best Model) - Loss: 1.3843 - Accuracy: 0.2647 - F1: 0.1047
sub_4:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.3188 - F1: 0.2226
sub_3:Test (Best Model) - Loss: 1.3862 - Accuracy: 0.2609 - F1: 0.1034
sub_9:Test (Best Model) - Loss: 1.3824 - Accuracy: 0.2647 - F1: 0.1047
sub_12:Test (Best Model) - Loss: 1.3864 - Accuracy: 0.2647 - F1: 0.1047
sub_11:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2609 - F1: 0.1034
sub_10:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2609 - F1: 0.1034
sub_14:Test (Best Model) - Loss: 1.3845 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3881 - Accuracy: 0.3235 - F1: 0.2808
sub_13:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.2647 - F1: 0.1047
sub_1:Test (Best Model) - Loss: 1.3889 - Accuracy: 0.2059 - F1: 0.0854
sub_8:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.3971 - F1: 0.2793
sub_6:Test (Best Model) - Loss: 1.3859 - Accuracy: 0.2609 - F1: 0.1034
sub_15:Test (Best Model) - Loss: 1.3898 - Accuracy: 0.2059 - F1: 0.0854
sub_4:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.2609 - F1: 0.1034
sub_9:Test (Best Model) - Loss: 1.3893 - Accuracy: 0.2059 - F1: 0.0854
sub_3:Test (Best Model) - Loss: 1.3885 - Accuracy: 0.2174 - F1: 0.0893
sub_11:Test (Best Model) - Loss: 1.3887 - Accuracy: 0.2174 - F1: 0.0893
sub_2:Test (Best Model) - Loss: 1.3803 - Accuracy: 0.2899 - F1: 0.1532
sub_12:Test (Best Model) - Loss: 1.3841 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3903 - Accuracy: 0.2059 - F1: 0.0854
sub_10:Test (Best Model) - Loss: 1.3899 - Accuracy: 0.2174 - F1: 0.0893
sub_13:Test (Best Model) - Loss: 1.3896 - Accuracy: 0.2059 - F1: 0.0854
sub_5:Test (Best Model) - Loss: 1.3836 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3838 - Accuracy: 0.2647 - F1: 0.1047
sub_6:Test (Best Model) - Loss: 1.3891 - Accuracy: 0.2174 - F1: 0.0893
sub_4:Test (Best Model) - Loss: 1.3889 - Accuracy: 0.2174 - F1: 0.0893
sub_1:Test (Best Model) - Loss: 1.3838 - Accuracy: 0.2941 - F1: 0.1696
sub_2:Test (Best Model) - Loss: 1.3860 - Accuracy: 0.2609 - F1: 0.1034
sub_12:Test (Best Model) - Loss: 1.3895 - Accuracy: 0.2059 - F1: 0.0854
sub_9:Test (Best Model) - Loss: 1.3791 - Accuracy: 0.3971 - F1: 0.3125
sub_15:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2941 - F1: 0.1696
sub_5:Test (Best Model) - Loss: 1.3897 - Accuracy: 0.2059 - F1: 0.0854
sub_8:Test (Best Model) - Loss: 1.3892 - Accuracy: 0.2059 - F1: 0.0854
sub_3:Test (Best Model) - Loss: 1.3861 - Accuracy: 0.4203 - F1: 0.2827
sub_7:Test (Best Model) - Loss: 1.3827 - Accuracy: 0.2647 - F1: 0.1047
sub_11:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.3043 - F1: 0.1905
sub_10:Test (Best Model) - Loss: 1.3860 - Accuracy: 0.3188 - F1: 0.2137
sub_14:Test (Best Model) - Loss: 1.3807 - Accuracy: 0.4265 - F1: 0.3332
sub_13:Test (Best Model) - Loss: 1.3876 - Accuracy: 0.2647 - F1: 0.1047
sub_6:Test (Best Model) - Loss: 1.3874 - Accuracy: 0.2609 - F1: 0.1034
sub_2:Test (Best Model) - Loss: 1.3893 - Accuracy: 0.2174 - F1: 0.0893
sub_4:Test (Best Model) - Loss: 1.3837 - Accuracy: 0.3768 - F1: 0.2878
sub_7:Test (Best Model) - Loss: 1.3898 - Accuracy: 0.2059 - F1: 0.0854
sub_12:Test (Best Model) - Loss: 1.3828 - Accuracy: 0.2941 - F1: 0.1696
sub_8:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.2794 - F1: 0.1384
sub_5:Test (Best Model) - Loss: 1.3831 - Accuracy: 0.3529 - F1: 0.2625
sub_2:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.3913 - F1: 0.3029
sub_7:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.2647 - F1: 0.1047
sub_20:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.2647 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2647 - F1: 0.1047
sub_22:Test (Best Model) - Loss: 1.3867 - Accuracy: 0.2647 - F1: 0.1047
sub_19:Test (Best Model) - Loss: 1.3882 - Accuracy: 0.2647 - F1: 0.1047
sub_24:Test (Best Model) - Loss: 1.3867 - Accuracy: 0.2647 - F1: 0.1047
sub_27:Test (Best Model) - Loss: 1.3865 - Accuracy: 0.2609 - F1: 0.1034
sub_21:Test (Best Model) - Loss: 1.3867 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.3865 - Accuracy: 0.2609 - F1: 0.1034
sub_28:Test (Best Model) - Loss: 1.3874 - Accuracy: 0.2647 - F1: 0.1047
sub_23:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.2609 - F1: 0.1034
sub_26:Test (Best Model) - Loss: 1.3864 - Accuracy: 0.2609 - F1: 0.1034
sub_17:Test (Best Model) - Loss: 1.3865 - Accuracy: 0.2609 - F1: 0.1034
sub_25:Test (Best Model) - Loss: 1.3877 - Accuracy: 0.2609 - F1: 0.1034
sub_27:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.2609 - F1: 0.1034
sub_20:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.2647 - F1: 0.1047
sub_22:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.2647 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3866 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3866 - Accuracy: 0.2647 - F1: 0.1047
sub_19:Test (Best Model) - Loss: 1.3875 - Accuracy: 0.2647 - F1: 0.1047
sub_24:Test (Best Model) - Loss: 1.3877 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2609 - F1: 0.1034
sub_26:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2609 - F1: 0.1034
sub_21:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.2647 - F1: 0.1047
sub_23:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.2609 - F1: 0.1034
sub_17:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.2609 - F1: 0.1034
sub_25:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2609 - F1: 0.1034
sub_27:Test (Best Model) - Loss: 1.3876 - Accuracy: 0.2609 - F1: 0.1034
sub_20:Test (Best Model) - Loss: 1.3861 - Accuracy: 0.2647 - F1: 0.1047
sub_22:Test (Best Model) - Loss: 1.3861 - Accuracy: 0.2647 - F1: 0.1111
sub_28:Test (Best Model) - Loss: 1.3877 - Accuracy: 0.2647 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3874 - Accuracy: 0.2647 - F1: 0.1047
sub_19:Test (Best Model) - Loss: 1.3879 - Accuracy: 0.2647 - F1: 0.1059
sub_23:Test (Best Model) - Loss: 1.3864 - Accuracy: 0.2609 - F1: 0.1034
sub_24:Test (Best Model) - Loss: 1.3875 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3885 - Accuracy: 0.2647 - F1: 0.1047
sub_21:Test (Best Model) - Loss: 1.3863 - Accuracy: 0.2647 - F1: 0.1059
sub_26:Test (Best Model) - Loss: 1.3860 - Accuracy: 0.2609 - F1: 0.1034
sub_17:Test (Best Model) - Loss: 1.3876 - Accuracy: 0.2609 - F1: 0.1034
sub_25:Test (Best Model) - Loss: 1.3871 - Accuracy: 0.2609 - F1: 0.1034
sub_27:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.2609 - F1: 0.1034
sub_18:Test (Best Model) - Loss: 1.3862 - Accuracy: 0.2609 - F1: 0.1034
sub_22:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.2647 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3864 - Accuracy: 0.2647 - F1: 0.1047
sub_20:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2647 - F1: 0.1047
sub_21:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1047
sub_19:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3864 - Accuracy: 0.2647 - F1: 0.1047
sub_23:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.2609 - F1: 0.1034
sub_24:Test (Best Model) - Loss: 1.3866 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3866 - Accuracy: 0.2647 - F1: 0.1047
sub_17:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.2609 - F1: 0.1034
sub_26:Test (Best Model) - Loss: 1.3871 - Accuracy: 0.2609 - F1: 0.1034
sub_25:Test (Best Model) - Loss: 1.3879 - Accuracy: 0.2609 - F1: 0.1034
sub_27:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2609 - F1: 0.1034
sub_29:Test (Best Model) - Loss: 1.3843 - Accuracy: 0.2647 - F1: 0.1047
sub_22:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1047
sub_20:Test (Best Model) - Loss: 1.3843 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2647 - F1: 0.1047
sub_19:Test (Best Model) - Loss: 1.3837 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.3867 - Accuracy: 0.2609 - F1: 0.1034
sub_21:Test (Best Model) - Loss: 1.3841 - Accuracy: 0.2647 - F1: 0.1047
sub_23:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2609 - F1: 0.1034
sub_28:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.2647 - F1: 0.1047
sub_24:Test (Best Model) - Loss: 1.3843 - Accuracy: 0.2647 - F1: 0.1047
sub_26:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2609 - F1: 0.1034
sub_17:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2609 - F1: 0.1034
sub_25:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2609 - F1: 0.1034
sub_29:Test (Best Model) - Loss: 1.3811 - Accuracy: 0.2647 - F1: 0.1047
sub_27:Test (Best Model) - Loss: 1.3836 - Accuracy: 0.2609 - F1: 0.1034
sub_20:Test (Best Model) - Loss: 1.3817 - Accuracy: 0.2647 - F1: 0.1047
sub_22:Test (Best Model) - Loss: 1.3831 - Accuracy: 0.2609 - F1: 0.1034
sub_16:Test (Best Model) - Loss: 1.3833 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.3831 - Accuracy: 0.2609 - F1: 0.1034
sub_23:Test (Best Model) - Loss: 1.3820 - Accuracy: 0.2647 - F1: 0.1047
sub_26:Test (Best Model) - Loss: 1.3810 - Accuracy: 0.2647 - F1: 0.1047
sub_19:Test (Best Model) - Loss: 1.3829 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.2647 - F1: 0.1047
sub_21:Test (Best Model) - Loss: 1.3837 - Accuracy: 0.2647 - F1: 0.1047
sub_24:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.2647 - F1: 0.1047
sub_17:Test (Best Model) - Loss: 1.3836 - Accuracy: 0.2609 - F1: 0.1034
sub_25:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.2647 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3863 - Accuracy: 0.2647 - F1: 0.1047
sub_20:Test (Best Model) - Loss: 1.3859 - Accuracy: 0.2647 - F1: 0.1047
sub_27:Test (Best Model) - Loss: 1.3864 - Accuracy: 0.2609 - F1: 0.1034
sub_21:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3866 - Accuracy: 0.2647 - F1: 0.1047
sub_26:Test (Best Model) - Loss: 1.3861 - Accuracy: 0.2647 - F1: 0.1047
sub_22:Test (Best Model) - Loss: 1.3863 - Accuracy: 0.2609 - F1: 0.1034
sub_23:Test (Best Model) - Loss: 1.3859 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.3827 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3861 - Accuracy: 0.2647 - F1: 0.1047
sub_19:Test (Best Model) - Loss: 1.3861 - Accuracy: 0.2647 - F1: 0.1047
sub_17:Test (Best Model) - Loss: 1.3864 - Accuracy: 0.2609 - F1: 0.1034
sub_24:Test (Best Model) - Loss: 1.3859 - Accuracy: 0.2647 - F1: 0.1047
sub_25:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.2647 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3810 - Accuracy: 0.2647 - F1: 0.1047
sub_27:Test (Best Model) - Loss: 1.3842 - Accuracy: 0.2609 - F1: 0.1034
sub_20:Test (Best Model) - Loss: 1.3829 - Accuracy: 0.2647 - F1: 0.1047
sub_21:Test (Best Model) - Loss: 1.3820 - Accuracy: 0.2647 - F1: 0.1047
sub_23:Test (Best Model) - Loss: 1.3833 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.0588 - F1: 0.0308
sub_26:Test (Best Model) - Loss: 1.3827 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.3860 - Accuracy: 0.2647 - F1: 0.1047
sub_22:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2609 - F1: 0.1034
sub_19:Test (Best Model) - Loss: 1.3836 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3826 - Accuracy: 0.2647 - F1: 0.1047
sub_24:Test (Best Model) - Loss: 1.3833 - Accuracy: 0.2647 - F1: 0.1047
sub_17:Test (Best Model) - Loss: 1.3842 - Accuracy: 0.2609 - F1: 0.1034
sub_25:Test (Best Model) - Loss: 1.3830 - Accuracy: 0.2647 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3812 - Accuracy: 0.2794 - F1: 0.1433
sub_18:Test (Best Model) - Loss: 1.3824 - Accuracy: 0.2647 - F1: 0.1047
sub_27:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.2754 - F1: 0.1773
sub_21:Test (Best Model) - Loss: 1.3827 - Accuracy: 0.2500 - F1: 0.1635
sub_22:Test (Best Model) - Loss: 1.3838 - Accuracy: 0.2319 - F1: 0.1474
sub_16:Test (Best Model) - Loss: 1.3830 - Accuracy: 0.2500 - F1: 0.1455
sub_19:Test (Best Model) - Loss: 1.3827 - Accuracy: 0.4118 - F1: 0.2667
sub_17:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.2754 - F1: 0.1773
sub_23:Test (Best Model) - Loss: 1.3811 - Accuracy: 0.2500 - F1: 0.1037
sub_28:Test (Best Model) - Loss: 1.3808 - Accuracy: 0.3529 - F1: 0.2960
sub_29:Test (Best Model) - Loss: 1.3830 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.3795 - Accuracy: 0.3235 - F1: 0.1879
sub_27:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2609 - F1: 0.1034
sub_22:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2609 - F1: 0.1034
sub_26:Test (Best Model) - Loss: 1.3769 - Accuracy: 0.2647 - F1: 0.1084
sub_20:Test (Best Model) - Loss: 1.3787 - Accuracy: 0.2941 - F1: 0.1571
sub_21:Test (Best Model) - Loss: 1.3828 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2647 - F1: 0.1047
sub_19:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2647 - F1: 0.1047
sub_24:Test (Best Model) - Loss: 1.3740 - Accuracy: 0.2794 - F1: 0.1322
sub_17:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2609 - F1: 0.1034
sub_23:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2647 - F1: 0.1047
sub_25:Test (Best Model) - Loss: 1.3786 - Accuracy: 0.2206 - F1: 0.1350
sub_26:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.2647 - F1: 0.1047
sub_20:Test (Best Model) - Loss: 1.3832 - Accuracy: 0.2647 - F1: 0.1047
sub_24:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.2647 - F1: 0.1047
sub_22:Test (Best Model) - Loss: 1.3867 - Accuracy: 0.2647 - F1: 0.1047
sub_19:Test (Best Model) - Loss: 1.3882 - Accuracy: 0.1912 - F1: 0.0998
sub_21:Test (Best Model) - Loss: 1.3861 - Accuracy: 0.3676 - F1: 0.2806
sub_16:Test (Best Model) - Loss: 1.3876 - Accuracy: 0.3088 - F1: 0.1901
sub_29:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.4638 - F1: 0.3473
sub_25:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1047
sub_23:Test (Best Model) - Loss: 1.3862 - Accuracy: 0.3188 - F1: 0.2137
sub_27:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.3824 - F1: 0.2972
sub_28:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.4118 - F1: 0.3085
sub_17:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.3824 - F1: 0.2972
sub_20:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.3333 - F1: 0.2348
sub_26:Test (Best Model) - Loss: 1.3831 - Accuracy: 0.4265 - F1: 0.3400
sub_29:Test (Best Model) - Loss: 1.3866 - Accuracy: 0.2609 - F1: 0.1071
sub_18:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.4706 - F1: 0.3681
sub_24:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2794 - F1: 0.1392
sub_23:Test (Best Model) - Loss: 1.3866 - Accuracy: 0.3043 - F1: 0.1863
sub_27:Test (Best Model) - Loss: 1.3875 - Accuracy: 0.1618 - F1: 0.1323
sub_22:Test (Best Model) - Loss: 1.3861 - Accuracy: 0.2500 - F1: 0.1202
sub_28:Test (Best Model) - Loss: 1.3871 - Accuracy: 0.2647 - F1: 0.1047
sub_17:Test (Best Model) - Loss: 1.3875 - Accuracy: 0.1618 - F1: 0.1323
sub_16:Test (Best Model) - Loss: 1.3863 - Accuracy: 0.2500 - F1: 0.1451
sub_20:Test (Best Model) - Loss: 1.3859 - Accuracy: 0.2609 - F1: 0.1098
sub_29:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.2609 - F1: 0.1034
sub_19:Test (Best Model) - Loss: 1.3883 - Accuracy: 0.3382 - F1: 0.2300
sub_23:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2609 - F1: 0.1034
sub_21:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_27:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.2647 - F1: 0.1047
sub_25:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.3235 - F1: 0.2209
sub_22:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3841 - Accuracy: 0.2647 - F1: 0.1047
sub_26:Test (Best Model) - Loss: 1.3862 - Accuracy: 0.3382 - F1: 0.2158
sub_24:Test (Best Model) - Loss: 1.3865 - Accuracy: 0.2647 - F1: 0.1047
sub_17:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.2647 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3890 - Accuracy: 0.2174 - F1: 0.0893
sub_18:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3831 - Accuracy: 0.2647 - F1: 0.1047
sub_20:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2609 - F1: 0.1034
sub_19:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.2647 - F1: 0.1047
sub_23:Test (Best Model) - Loss: 1.3904 - Accuracy: 0.2174 - F1: 0.0893
sub_22:Test (Best Model) - Loss: 1.3889 - Accuracy: 0.2059 - F1: 0.0854
sub_21:Test (Best Model) - Loss: 1.3835 - Accuracy: 0.2647 - F1: 0.1047
sub_25:Test (Best Model) - Loss: 1.3865 - Accuracy: 0.2941 - F1: 0.2080
sub_27:Test (Best Model) - Loss: 1.3892 - Accuracy: 0.2059 - F1: 0.0854
sub_28:Test (Best Model) - Loss: 1.3891 - Accuracy: 0.2059 - F1: 0.0854
sub_24:Test (Best Model) - Loss: 1.3831 - Accuracy: 0.2647 - F1: 0.1047
sub_26:Test (Best Model) - Loss: 1.3842 - Accuracy: 0.2647 - F1: 0.1047
sub_17:Test (Best Model) - Loss: 1.3892 - Accuracy: 0.2059 - F1: 0.0854
sub_16:Test (Best Model) - Loss: 1.3898 - Accuracy: 0.2059 - F1: 0.0854
sub_18:Test (Best Model) - Loss: 1.3833 - Accuracy: 0.2647 - F1: 0.1047
sub_20:Test (Best Model) - Loss: 1.3883 - Accuracy: 0.2174 - F1: 0.0893
sub_19:Test (Best Model) - Loss: 1.3898 - Accuracy: 0.2059 - F1: 0.0854
sub_21:Test (Best Model) - Loss: 1.3893 - Accuracy: 0.2059 - F1: 0.0854
sub_25:Test (Best Model) - Loss: 1.3841 - Accuracy: 0.2647 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.4493 - F1: 0.3538
sub_23:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.3768 - F1: 0.2878
sub_24:Test (Best Model) - Loss: 1.3893 - Accuracy: 0.2059 - F1: 0.0854
sub_26:Test (Best Model) - Loss: 1.3895 - Accuracy: 0.2059 - F1: 0.0854
sub_18:Test (Best Model) - Loss: 1.3888 - Accuracy: 0.2059 - F1: 0.0854
sub_28:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.3676 - F1: 0.2562
sub_22:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.3824 - F1: 0.2972
sub_27:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.3529 - F1: 0.2625
sub_16:Test (Best Model) - Loss: 1.3876 - Accuracy: 0.3382 - F1: 0.2232
sub_20:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.3623 - F1: 0.2716
sub_25:Test (Best Model) - Loss: 1.3890 - Accuracy: 0.2059 - F1: 0.0854
sub_17:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.3529 - F1: 0.2625
sub_19:Test (Best Model) - Loss: 1.3877 - Accuracy: 0.2647 - F1: 0.1059
sub_21:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.3676 - F1: 0.2806
sub_26:Test (Best Model) - Loss: 1.3825 - Accuracy: 0.3529 - F1: 0.2625
sub_24:Test (Best Model) - Loss: 1.3866 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.3830 - Accuracy: 0.3676 - F1: 0.2806
sub_25:Test (Best Model) - Loss: 1.3860 - Accuracy: 0.2941 - F1: 0.1696

=== Summary Results ===

acc: 27.20 ± 0.94
F1: 12.74 ± 1.08
acc-in: 29.96 ± 0.99
F1-in: 14.68 ± 0.93
runing time: 1013.28 seconds
