lr: 1e-05
sub_1:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.1765 - F1: 0.1017
sub_1:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1047
sub_1:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_1:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_1:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2647 - F1: 0.1059
sub_1:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2609 - F1: 0.1713
sub_1:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_1:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2754 - F1: 0.1309
sub_1:Test (Best Model) - Loss: 1.3859 - Accuracy: 0.2029 - F1: 0.1362
sub_1:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2029 - F1: 0.1317
sub_1:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2500 - F1: 0.1149
sub_1:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1047
sub_1:Test (Best Model) - Loss: 1.3843 - Accuracy: 0.2941 - F1: 0.1542
sub_1:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_1:Test (Best Model) - Loss: 1.3833 - Accuracy: 0.3088 - F1: 0.2024
sub_2:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2609 - F1: 0.1034
sub_2:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2609 - F1: 0.1034
sub_2:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2609 - F1: 0.1034
sub_2:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_2:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2609 - F1: 0.1034
sub_2:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_2:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_2:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2647 - F1: 0.1047
sub_2:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2647 - F1: 0.1047
sub_2:Test (Best Model) - Loss: 1.3836 - Accuracy: 0.2647 - F1: 0.1047
sub_2:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2174 - F1: 0.1429
sub_2:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2609 - F1: 0.1047
sub_2:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2609 - F1: 0.1071
sub_2:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2609 - F1: 0.1034
sub_2:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2174 - F1: 0.1078
sub_3:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2647 - F1: 0.1047
sub_3:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.2500 - F1: 0.1000
sub_3:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.3235 - F1: 0.2112
sub_3:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2647 - F1: 0.1047
sub_3:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.1765 - F1: 0.1147
sub_3:Test (Best Model) - Loss: 1.3838 - Accuracy: 0.2174 - F1: 0.1443
sub_3:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2609 - F1: 0.1034
sub_3:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.2609 - F1: 0.1250
sub_3:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2899 - F1: 0.1901
sub_3:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2899 - F1: 0.1753
sub_3:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2609 - F1: 0.1034
sub_3:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_3:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2609 - F1: 0.1200
sub_3:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.2609 - F1: 0.1034
sub_3:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.1304 - F1: 0.0791
sub_4:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2609 - F1: 0.1034
sub_4:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2609 - F1: 0.1034
sub_4:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2609 - F1: 0.1034
sub_4:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2609 - F1: 0.1034
sub_4:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2899 - F1: 0.1674
sub_4:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2609 - F1: 0.1034
sub_4:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2609 - F1: 0.1034
sub_4:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2609 - F1: 0.1034
sub_4:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2609 - F1: 0.1034
sub_4:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2754 - F1: 0.1312
sub_4:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2899 - F1: 0.1633
sub_4:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2609 - F1: 0.1034
sub_4:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2609 - F1: 0.1034
sub_4:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2609 - F1: 0.1034
sub_4:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2754 - F1: 0.1310
sub_5:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3842 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3845 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3841 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3843 - Accuracy: 0.2059 - F1: 0.1874
sub_5:Test (Best Model) - Loss: 1.3837 - Accuracy: 0.2647 - F1: 0.1306
sub_5:Test (Best Model) - Loss: 1.3845 - Accuracy: 0.2794 - F1: 0.1322
sub_5:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3842 - Accuracy: 0.3088 - F1: 0.1810
sub_5:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2647 - F1: 0.1047
sub_5:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_6:Test (Best Model) - Loss: 1.3843 - Accuracy: 0.2941 - F1: 0.1571
sub_6:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_6:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_6:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1047
sub_6:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.2794 - F1: 0.1588
sub_6:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2609 - F1: 0.1034
sub_6:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2609 - F1: 0.1139
sub_6:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.3333 - F1: 0.2333
sub_6:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_6:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.3478 - F1: 0.2325
sub_6:Test (Best Model) - Loss: 1.3845 - Accuracy: 0.2609 - F1: 0.1034
sub_6:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2609 - F1: 0.1034
sub_6:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2754 - F1: 0.1791
sub_6:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2899 - F1: 0.1559
sub_6:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2899 - F1: 0.1902
sub_7:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3837 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1059
sub_7:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_7:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.2500 - F1: 0.1637
sub_8:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3845 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2500 - F1: 0.1349
sub_8:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3845 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3841 - Accuracy: 0.3235 - F1: 0.2112
sub_8:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2059 - F1: 0.1227
sub_8:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.2647 - F1: 0.1047
sub_8:Test (Best Model) - Loss: 1.3841 - Accuracy: 0.2794 - F1: 0.1321
sub_8:Test (Best Model) - Loss: 1.3836 - Accuracy: 0.2941 - F1: 0.1561
sub_9:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1731
sub_9:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_9:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.2647 - F1: 0.1047
sub_9:Test (Best Model) - Loss: 1.3860 - Accuracy: 0.2500 - F1: 0.1000
sub_9:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.1618 - F1: 0.1101
sub_9:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_9:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_9:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_9:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1047
sub_9:Test (Best Model) - Loss: 1.3841 - Accuracy: 0.2794 - F1: 0.1321
sub_9:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_9:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_9:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1047
sub_9:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2647 - F1: 0.1047
sub_9:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2941 - F1: 0.1702
sub_10:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_10:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_10:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_10:Test (Best Model) - Loss: 1.3859 - Accuracy: 0.2647 - F1: 0.1047
sub_10:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2941 - F1: 0.1550
sub_10:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_10:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_10:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1047
sub_10:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2647 - F1: 0.1047
sub_10:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1047
sub_10:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2609 - F1: 0.1258
sub_10:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_10:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_10:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2609 - F1: 0.1034
sub_10:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2754 - F1: 0.1667
sub_11:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_11:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_11:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2754 - F1: 0.1806
sub_11:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2609 - F1: 0.1034
sub_11:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2609 - F1: 0.1047
sub_11:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2609 - F1: 0.1034
sub_11:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2609 - F1: 0.1034
sub_11:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2609 - F1: 0.1034
sub_11:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.3333 - F1: 0.2424
sub_11:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.2609 - F1: 0.1034
sub_11:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_11:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2609 - F1: 0.1034
sub_11:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2609 - F1: 0.1034
sub_11:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2609 - F1: 0.1034
sub_11:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2754 - F1: 0.1315
sub_12:Test (Best Model) - Loss: 1.3845 - Accuracy: 0.2647 - F1: 0.1712
sub_12:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2647 - F1: 0.1047
sub_12:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1047
sub_12:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1059
sub_12:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_12:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2899 - F1: 0.1868
sub_12:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.2609 - F1: 0.1034
sub_12:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.1739 - F1: 0.1141
sub_12:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2609 - F1: 0.1034
sub_12:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2609 - F1: 0.1034
sub_12:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_12:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_12:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_12:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1047
sub_12:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1125
sub_13:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2941 - F1: 0.1753
sub_13:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2500 - F1: 0.1037
sub_13:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2794 - F1: 0.1321
sub_13:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.2647 - F1: 0.1047
sub_13:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2794 - F1: 0.1580
sub_13:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2609 - F1: 0.1034
sub_13:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2319 - F1: 0.1134
sub_13:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2609 - F1: 0.1034
sub_13:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2609 - F1: 0.1034
sub_13:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2609 - F1: 0.1034
sub_13:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2794 - F1: 0.1361
sub_13:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_13:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_13:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2941 - F1: 0.1555
sub_13:Test (Best Model) - Loss: 1.3841 - Accuracy: 0.2647 - F1: 0.1071
sub_14:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3845 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3842 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3836 - Accuracy: 0.2500 - F1: 0.1000
sub_14:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_14:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1604
sub_14:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2794 - F1: 0.1322
sub_14:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2941 - F1: 0.1571
sub_15:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2647 - F1: 0.1084
sub_15:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2353 - F1: 0.1000
sub_15:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2794 - F1: 0.1849
sub_15:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.2941 - F1: 0.1896
sub_15:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2794 - F1: 0.1801
sub_15:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1047
sub_15:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1684
sub_16:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3838 - Accuracy: 0.2206 - F1: 0.0904
sub_16:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2500 - F1: 0.1000
sub_16:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1059
sub_16:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_16:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_17:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2754 - F1: 0.1312
sub_17:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2609 - F1: 0.1034
sub_17:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2609 - F1: 0.1034
sub_17:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2029 - F1: 0.0875
sub_17:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2609 - F1: 0.1610
sub_17:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_17:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2609 - F1: 0.1034
sub_17:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2609 - F1: 0.1034
sub_17:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2754 - F1: 0.1819
sub_17:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2609 - F1: 0.1034
sub_17:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2500 - F1: 0.1000
sub_17:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_17:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_17:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1059
sub_17:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2941 - F1: 0.1552
sub_18:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2609 - F1: 0.1034
sub_18:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2609 - F1: 0.1034
sub_18:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_18:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2319 - F1: 0.1540
sub_18:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2174 - F1: 0.1435
sub_18:Test (Best Model) - Loss: 1.3845 - Accuracy: 0.2353 - F1: 0.1180
sub_18:Test (Best Model) - Loss: 1.3842 - Accuracy: 0.2794 - F1: 0.1827
sub_18:Test (Best Model) - Loss: 1.3843 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1047
sub_18:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2353 - F1: 0.0976
sub_18:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2794 - F1: 0.1816
sub_19:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2794 - F1: 0.1346
sub_19:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1059
sub_19:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1047
sub_19:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.1912 - F1: 0.0972
sub_19:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_19:Test (Best Model) - Loss: 1.3838 - Accuracy: 0.2941 - F1: 0.1923
sub_19:Test (Best Model) - Loss: 1.3841 - Accuracy: 0.2647 - F1: 0.1047
sub_19:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2647 - F1: 0.1047
sub_19:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2941 - F1: 0.2169
sub_19:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2353 - F1: 0.1376
sub_19:Test (Best Model) - Loss: 1.3845 - Accuracy: 0.2647 - F1: 0.1047
sub_19:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_19:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2647 - F1: 0.1047
sub_19:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_19:Test (Best Model) - Loss: 1.3845 - Accuracy: 0.2059 - F1: 0.1359
sub_20:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_20:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2206 - F1: 0.1484
sub_20:Test (Best Model) - Loss: 1.3842 - Accuracy: 0.2647 - F1: 0.1781
sub_20:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2353 - F1: 0.1185
sub_20:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2059 - F1: 0.1067
sub_20:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.3235 - F1: 0.2464
sub_20:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1047
sub_20:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2794 - F1: 0.1322
sub_20:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.3088 - F1: 0.1779
sub_20:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2794 - F1: 0.1322
sub_20:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2609 - F1: 0.1034
sub_20:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2609 - F1: 0.1034
sub_20:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2899 - F1: 0.1930
sub_20:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.3043 - F1: 0.2247
sub_20:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2464 - F1: 0.1514
sub_21:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2941 - F1: 0.2135
sub_21:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2647 - F1: 0.1059
sub_21:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2647 - F1: 0.1047
sub_21:Test (Best Model) - Loss: 1.3860 - Accuracy: 0.2941 - F1: 0.1555
sub_21:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2500 - F1: 0.1338
sub_21:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.1912 - F1: 0.1205
sub_21:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2794 - F1: 0.1658
sub_21:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2794 - F1: 0.1335
sub_21:Test (Best Model) - Loss: 1.3861 - Accuracy: 0.2353 - F1: 0.1149
sub_21:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2206 - F1: 0.1299
sub_21:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_21:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_21:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_21:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2647 - F1: 0.1047
sub_21:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1047
sub_22:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_22:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_22:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_22:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_22:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2647 - F1: 0.1047
sub_22:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_22:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2609 - F1: 0.1034
sub_22:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2609 - F1: 0.1034
sub_22:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2609 - F1: 0.1034
sub_22:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2609 - F1: 0.1034
sub_22:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.1765 - F1: 0.1135
sub_22:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.2206 - F1: 0.1094
sub_22:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1047
sub_22:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2059 - F1: 0.1370
sub_22:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.2647 - F1: 0.1047
sub_23:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2609 - F1: 0.1034
sub_23:Test (Best Model) - Loss: 1.3843 - Accuracy: 0.2609 - F1: 0.1071
sub_23:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2609 - F1: 0.1034
sub_23:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2609 - F1: 0.1034
sub_23:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2609 - F1: 0.1034
sub_23:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2647 - F1: 0.1047
sub_23:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2206 - F1: 0.1325
sub_23:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1047
sub_23:Test (Best Model) - Loss: 1.3837 - Accuracy: 0.2647 - F1: 0.1284
sub_23:Test (Best Model) - Loss: 1.3841 - Accuracy: 0.2647 - F1: 0.1071
sub_23:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2609 - F1: 0.1034
sub_23:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2609 - F1: 0.1034
sub_23:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2609 - F1: 0.1034
sub_23:Test (Best Model) - Loss: 1.3859 - Accuracy: 0.2609 - F1: 0.1047
sub_23:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2174 - F1: 0.1410
sub_24:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_24:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2941 - F1: 0.1780
sub_24:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_24:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1047
sub_24:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.3235 - F1: 0.1939
sub_24:Test (Best Model) - Loss: 1.3842 - Accuracy: 0.2647 - F1: 0.1047
sub_24:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2647 - F1: 0.1047
sub_24:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.2647 - F1: 0.1084
sub_24:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.3088 - F1: 0.2010
sub_24:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.2647 - F1: 0.1047
sub_24:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.1471 - F1: 0.1168
sub_24:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1277
sub_24:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1599
sub_24:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.1912 - F1: 0.1250
sub_24:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2941 - F1: 0.2460
sub_25:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2609 - F1: 0.1034
sub_25:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2609 - F1: 0.1034
sub_25:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2609 - F1: 0.1034
sub_25:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2609 - F1: 0.1251
sub_25:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2609 - F1: 0.1034
sub_25:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.2647 - F1: 0.1047
sub_25:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_25:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1047
sub_25:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2941 - F1: 0.2090
sub_25:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2353 - F1: 0.0964
sub_25:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2500 - F1: 0.1208
sub_25:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2647 - F1: 0.1047
sub_25:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_25:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2206 - F1: 0.1486
sub_25:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2059 - F1: 0.0886
sub_26:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2609 - F1: 0.1034
sub_26:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2609 - F1: 0.1034
sub_26:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_26:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.2609 - F1: 0.1034
sub_26:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_26:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_26:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1047
sub_26:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_26:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_26:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1047
sub_26:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_26:Test (Best Model) - Loss: 1.3842 - Accuracy: 0.2647 - F1: 0.1409
sub_26:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1047
sub_26:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.2647 - F1: 0.1059
sub_26:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.3088 - F1: 0.1717
sub_27:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2754 - F1: 0.1312
sub_27:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2609 - F1: 0.1034
sub_27:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2609 - F1: 0.1034
sub_27:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2029 - F1: 0.0875
sub_27:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2609 - F1: 0.1610
sub_27:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2609 - F1: 0.1034
sub_27:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2609 - F1: 0.1034
sub_27:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2609 - F1: 0.1034
sub_27:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2754 - F1: 0.1819
sub_27:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2609 - F1: 0.1034
sub_27:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2500 - F1: 0.1000
sub_27:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_27:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_27:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1059
sub_27:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2941 - F1: 0.1552
sub_28:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3843 - Accuracy: 0.2794 - F1: 0.1484
sub_28:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2941 - F1: 0.1667
sub_28:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2647 - F1: 0.1047
sub_28:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2500 - F1: 0.1000
sub_29:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3852 - Accuracy: 0.2647 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2647 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2647 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.2647 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2794 - F1: 0.1821
sub_29:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2647 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2353 - F1: 0.1391
sub_29:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.1059
sub_29:Test (Best Model) - Loss: 1.3860 - Accuracy: 0.2609 - F1: 0.1047
sub_29:Test (Best Model) - Loss: 1.3861 - Accuracy: 0.2174 - F1: 0.1303
sub_29:Test (Best Model) - Loss: 1.3860 - Accuracy: 0.2899 - F1: 0.1689
sub_29:Test (Best Model) - Loss: 1.3865 - Accuracy: 0.2319 - F1: 0.0952
sub_29:Test (Best Model) - Loss: 1.3866 - Accuracy: 0.2609 - F1: 0.1059

=== Summary Results ===

acc: 26.22 ± 0.60
F1: 11.92 ± 0.99
acc-in: 28.70 ± 2.08
F1-in: 16.35 ± 2.30
