lr: 0.001
sub_2:Test (Best Model) - Loss: 0.6580 - Accuracy: 0.5455 - F1: 0.3529
sub_13:Test (Best Model) - Loss: 0.6463 - Accuracy: 0.5625 - F1: 0.3600
sub_3:Test (Best Model) - Loss: 0.6510 - Accuracy: 0.5625 - F1: 0.3600
sub_12:Test (Best Model) - Loss: 0.6363 - Accuracy: 0.5625 - F1: 0.3600
sub_8:Test (Best Model) - Loss: 0.6488 - Accuracy: 0.5625 - F1: 0.3600
sub_15:Test (Best Model) - Loss: 0.6721 - Accuracy: 0.5625 - F1: 0.3600
sub_11:Test (Best Model) - Loss: 0.6748 - Accuracy: 0.7273 - F1: 0.7179
sub_7:Test (Best Model) - Loss: 0.1572 - Accuracy: 0.9062 - F1: 0.9062
sub_13:Test (Best Model) - Loss: 0.6304 - Accuracy: 0.5938 - F1: 0.4340
sub_15:Test (Best Model) - Loss: 0.6283 - Accuracy: 0.5938 - F1: 0.4340
sub_9:Test (Best Model) - Loss: 0.0287 - Accuracy: 0.9688 - F1: 0.9685
sub_12:Test (Best Model) - Loss: 0.6561 - Accuracy: 0.5625 - F1: 0.3600
sub_1:Test (Best Model) - Loss: 0.0268 - Accuracy: 0.9688 - F1: 0.9685
sub_4:Test (Best Model) - Loss: 0.5258 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 3.5965 - Accuracy: 0.4375 - F1: 0.3043
sub_6:Test (Best Model) - Loss: 0.1515 - Accuracy: 0.9062 - F1: 0.9054
sub_10:Test (Best Model) - Loss: 0.0071 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0051 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.1252 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 0.6499 - Accuracy: 0.5625 - F1: 0.3600
sub_2:Test (Best Model) - Loss: 0.0449 - Accuracy: 0.9697 - F1: 0.9692
sub_15:Test (Best Model) - Loss: 0.6755 - Accuracy: 0.5625 - F1: 0.3600
sub_11:Test (Best Model) - Loss: 0.6152 - Accuracy: 0.8788 - F1: 0.8787
sub_8:Test (Best Model) - Loss: 0.4429 - Accuracy: 0.7812 - F1: 0.7519
sub_7:Test (Best Model) - Loss: 0.2498 - Accuracy: 0.9062 - F1: 0.9039
sub_9:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0010 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0090 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0021 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.6674 - Accuracy: 0.5625 - F1: 0.3600
sub_12:Test (Best Model) - Loss: 0.1724 - Accuracy: 0.9375 - F1: 0.9352
sub_5:Test (Best Model) - Loss: 0.0296 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 9.4026 - Accuracy: 0.4375 - F1: 0.3043
sub_6:Test (Best Model) - Loss: 0.2920 - Accuracy: 0.9062 - F1: 0.9015
sub_2:Test (Best Model) - Loss: 0.3206 - Accuracy: 0.9091 - F1: 0.9060
sub_7:Test (Best Model) - Loss: 0.4612 - Accuracy: 0.8125 - F1: 0.7922
sub_12:Test (Best Model) - Loss: 0.6450 - Accuracy: 0.5625 - F1: 0.3600
sub_11:Test (Best Model) - Loss: 0.0737 - Accuracy: 0.9697 - F1: 0.9696
sub_8:Test (Best Model) - Loss: 0.7810 - Accuracy: 0.7500 - F1: 0.7091
sub_13:Test (Best Model) - Loss: 0.4927 - Accuracy: 0.8750 - F1: 0.8730
sub_3:Test (Best Model) - Loss: 1.8160 - Accuracy: 0.6875 - F1: 0.6135
sub_4:Test (Best Model) - Loss: 0.0651 - Accuracy: 0.9697 - F1: 0.9692
sub_10:Test (Best Model) - Loss: 0.1981 - Accuracy: 0.9375 - F1: 0.9373
sub_9:Test (Best Model) - Loss: 0.0030 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 1.2934 - Accuracy: 0.8125 - F1: 0.7922
sub_1:Test (Best Model) - Loss: 0.0170 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.2165 - Accuracy: 0.9062 - F1: 0.9015
sub_12:Test (Best Model) - Loss: 0.5666 - Accuracy: 0.6875 - F1: 0.6135
sub_14:Test (Best Model) - Loss: 3.8364 - Accuracy: 0.4688 - F1: 0.3637
sub_2:Test (Best Model) - Loss: 0.5149 - Accuracy: 0.7273 - F1: 0.6857
sub_6:Test (Best Model) - Loss: 0.1622 - Accuracy: 0.9375 - F1: 0.9352
sub_7:Test (Best Model) - Loss: 0.1756 - Accuracy: 0.9688 - F1: 0.9685
sub_13:Test (Best Model) - Loss: 0.2013 - Accuracy: 0.9375 - F1: 0.9352
sub_11:Test (Best Model) - Loss: 0.0251 - Accuracy: 0.9697 - F1: 0.9692
sub_3:Test (Best Model) - Loss: 0.3193 - Accuracy: 0.8438 - F1: 0.8303
sub_8:Test (Best Model) - Loss: 0.7089 - Accuracy: 0.8750 - F1: 0.8667
sub_10:Test (Best Model) - Loss: 0.0587 - Accuracy: 0.9688 - F1: 0.9685
sub_9:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.6105 - Accuracy: 0.5938 - F1: 0.4340
sub_12:Test (Best Model) - Loss: 0.9391 - Accuracy: 0.6364 - F1: 0.6071
sub_1:Test (Best Model) - Loss: 0.0258 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.3138 - Accuracy: 0.8750 - F1: 0.8730
sub_4:Test (Best Model) - Loss: 0.1404 - Accuracy: 0.9394 - F1: 0.9393
sub_14:Test (Best Model) - Loss: 3.1486 - Accuracy: 0.4375 - F1: 0.3455
sub_7:Test (Best Model) - Loss: 0.5133 - Accuracy: 0.8125 - F1: 0.7922
sub_5:Test (Best Model) - Loss: 0.0505 - Accuracy: 0.9688 - F1: 0.9685
sub_2:Test (Best Model) - Loss: 0.0027 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.6753 - Accuracy: 0.5625 - F1: 0.3600
sub_10:Test (Best Model) - Loss: 0.0826 - Accuracy: 0.9375 - F1: 0.9373
sub_3:Test (Best Model) - Loss: 0.3024 - Accuracy: 0.9062 - F1: 0.9015
sub_11:Test (Best Model) - Loss: 0.1329 - Accuracy: 0.9697 - F1: 0.9696
sub_9:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.6823 - Accuracy: 0.7273 - F1: 0.6857
sub_6:Test (Best Model) - Loss: 0.5770 - Accuracy: 0.8125 - F1: 0.7922
sub_1:Test (Best Model) - Loss: 0.1117 - Accuracy: 0.9375 - F1: 0.9352
sub_12:Test (Best Model) - Loss: 1.2093 - Accuracy: 0.5758 - F1: 0.5417
sub_14:Test (Best Model) - Loss: 0.9418 - Accuracy: 0.7500 - F1: 0.7500
sub_4:Test (Best Model) - Loss: 0.7719 - Accuracy: 0.7879 - F1: 0.7664
sub_8:Test (Best Model) - Loss: 0.5680 - Accuracy: 0.7812 - F1: 0.7519
sub_7:Test (Best Model) - Loss: 0.3251 - Accuracy: 0.9375 - F1: 0.9352
sub_5:Test (Best Model) - Loss: 0.3239 - Accuracy: 0.9062 - F1: 0.9015
sub_2:Test (Best Model) - Loss: 0.0656 - Accuracy: 0.9688 - F1: 0.9680
sub_15:Test (Best Model) - Loss: 0.6047 - Accuracy: 0.6250 - F1: 0.6000
sub_10:Test (Best Model) - Loss: 0.1444 - Accuracy: 0.9688 - F1: 0.9685
sub_3:Test (Best Model) - Loss: 0.0751 - Accuracy: 0.9394 - F1: 0.9389
sub_11:Test (Best Model) - Loss: 0.3254 - Accuracy: 0.8485 - F1: 0.8390
sub_12:Test (Best Model) - Loss: 1.5007 - Accuracy: 0.6061 - F1: 0.5196
sub_9:Test (Best Model) - Loss: 0.0563 - Accuracy: 0.9688 - F1: 0.9680
sub_1:Test (Best Model) - Loss: 0.0156 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.3674 - Accuracy: 0.8750 - F1: 0.8704
sub_6:Test (Best Model) - Loss: 0.9154 - Accuracy: 0.7273 - F1: 0.6857
sub_8:Test (Best Model) - Loss: 0.1837 - Accuracy: 0.8438 - F1: 0.8436
sub_7:Test (Best Model) - Loss: 0.0705 - Accuracy: 0.9375 - F1: 0.9365
sub_13:Test (Best Model) - Loss: 0.2446 - Accuracy: 0.8485 - F1: 0.8433
sub_4:Test (Best Model) - Loss: 0.3165 - Accuracy: 0.8485 - F1: 0.8479
sub_5:Test (Best Model) - Loss: 0.3869 - Accuracy: 0.9062 - F1: 0.9015
sub_12:Test (Best Model) - Loss: 0.8488 - Accuracy: 0.6061 - F1: 0.4850
sub_14:Test (Best Model) - Loss: 0.6666 - Accuracy: 0.5625 - F1: 0.3600
sub_10:Test (Best Model) - Loss: 0.0538 - Accuracy: 0.9688 - F1: 0.9680
sub_2:Test (Best Model) - Loss: 0.0909 - Accuracy: 0.9688 - F1: 0.9680
sub_15:Test (Best Model) - Loss: 0.5893 - Accuracy: 0.8750 - F1: 0.8750
sub_3:Test (Best Model) - Loss: 0.0702 - Accuracy: 0.9394 - F1: 0.9380
sub_1:Test (Best Model) - Loss: 0.0118 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.4442 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.2501 - Accuracy: 0.8438 - F1: 0.8424
sub_12:Test (Best Model) - Loss: 0.6768 - Accuracy: 0.5758 - F1: 0.4225
sub_11:Test (Best Model) - Loss: 0.3649 - Accuracy: 0.8788 - F1: 0.8731
sub_6:Test (Best Model) - Loss: 1.8319 - Accuracy: 0.6667 - F1: 0.5935
sub_8:Test (Best Model) - Loss: 0.1975 - Accuracy: 0.9375 - F1: 0.9373
sub_13:Test (Best Model) - Loss: 0.6980 - Accuracy: 0.5455 - F1: 0.3529
sub_5:Test (Best Model) - Loss: 0.1362 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 0.2840 - Accuracy: 0.9091 - F1: 0.9091
sub_10:Test (Best Model) - Loss: 0.0233 - Accuracy: 0.9688 - F1: 0.9685
sub_9:Test (Best Model) - Loss: 0.0160 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 1.3835 - Accuracy: 0.7812 - F1: 0.7519
sub_14:Test (Best Model) - Loss: 0.1044 - Accuracy: 0.9375 - F1: 0.9373
sub_11:Test (Best Model) - Loss: 0.2021 - Accuracy: 0.9091 - F1: 0.9091
sub_13:Test (Best Model) - Loss: 0.5137 - Accuracy: 0.6970 - F1: 0.6413
sub_1:Test (Best Model) - Loss: 0.0921 - Accuracy: 0.9394 - F1: 0.9380
sub_12:Test (Best Model) - Loss: 1.0114 - Accuracy: 0.6250 - F1: 0.5000
sub_2:Test (Best Model) - Loss: 0.0751 - Accuracy: 0.9688 - F1: 0.9685
sub_6:Test (Best Model) - Loss: 0.3956 - Accuracy: 0.9091 - F1: 0.9060
sub_7:Test (Best Model) - Loss: 0.0786 - Accuracy: 0.9688 - F1: 0.9680
sub_3:Test (Best Model) - Loss: 0.8655 - Accuracy: 0.6364 - F1: 0.6360
sub_14:Test (Best Model) - Loss: 0.6827 - Accuracy: 0.5625 - F1: 0.3600
sub_8:Test (Best Model) - Loss: 0.9935 - Accuracy: 0.8125 - F1: 0.8118
sub_4:Test (Best Model) - Loss: 0.3808 - Accuracy: 0.8182 - F1: 0.8167
sub_11:Test (Best Model) - Loss: 0.6292 - Accuracy: 0.5455 - F1: 0.3529
sub_10:Test (Best Model) - Loss: 0.2843 - Accuracy: 0.9062 - F1: 0.9039
sub_5:Test (Best Model) - Loss: 0.0589 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0114 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.6250 - Accuracy: 0.5625 - F1: 0.3600
sub_7:Test (Best Model) - Loss: 0.6167 - Accuracy: 0.6562 - F1: 0.5594
sub_6:Test (Best Model) - Loss: 0.6143 - Accuracy: 0.5758 - F1: 0.4225
sub_1:Test (Best Model) - Loss: 0.0403 - Accuracy: 0.9697 - F1: 0.9696
sub_4:Test (Best Model) - Loss: 0.6239 - Accuracy: 0.6061 - F1: 0.4850
sub_5:Test (Best Model) - Loss: 0.4897 - Accuracy: 0.7188 - F1: 0.6632
sub_3:Test (Best Model) - Loss: 0.0723 - Accuracy: 0.9697 - F1: 0.9692
sub_2:Test (Best Model) - Loss: 0.7136 - Accuracy: 0.5938 - F1: 0.4340
sub_8:Test (Best Model) - Loss: 0.3902 - Accuracy: 0.8125 - F1: 0.8118
sub_7:Test (Best Model) - Loss: 0.6628 - Accuracy: 0.5625 - F1: 0.3600
sub_12:Test (Best Model) - Loss: 0.6257 - Accuracy: 0.6875 - F1: 0.6135
sub_15:Test (Best Model) - Loss: 0.6629 - Accuracy: 0.6875 - F1: 0.6825
sub_5:Test (Best Model) - Loss: 0.6497 - Accuracy: 0.6562 - F1: 0.5594
sub_13:Test (Best Model) - Loss: 0.9283 - Accuracy: 0.8125 - F1: 0.8118
sub_11:Test (Best Model) - Loss: 1.9779 - Accuracy: 0.5758 - F1: 0.4225
sub_9:Test (Best Model) - Loss: 0.0501 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 1.7885 - Accuracy: 0.6562 - F1: 0.5594
sub_4:Test (Best Model) - Loss: 0.0658 - Accuracy: 0.9394 - F1: 0.9380
sub_10:Test (Best Model) - Loss: 0.5061 - Accuracy: 0.9062 - F1: 0.9015
sub_7:Test (Best Model) - Loss: 0.1461 - Accuracy: 0.9375 - F1: 0.9373
sub_12:Test (Best Model) - Loss: 0.5762 - Accuracy: 0.7500 - F1: 0.7091
sub_8:Test (Best Model) - Loss: 0.1668 - Accuracy: 0.9688 - F1: 0.9680
sub_15:Test (Best Model) - Loss: 0.3740 - Accuracy: 0.7812 - F1: 0.7519
sub_1:Test (Best Model) - Loss: 0.0021 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.6201 - Accuracy: 0.8125 - F1: 0.8057
sub_3:Test (Best Model) - Loss: 0.4149 - Accuracy: 0.9091 - F1: 0.9060
sub_6:Test (Best Model) - Loss: 1.6869 - Accuracy: 0.6061 - F1: 0.4850
sub_2:Test (Best Model) - Loss: 0.5359 - Accuracy: 0.6667 - F1: 0.5935
sub_12:Test (Best Model) - Loss: 0.6542 - Accuracy: 0.5625 - F1: 0.3600
sub_9:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.6824 - Accuracy: 0.5625 - F1: 0.3600
sub_13:Test (Best Model) - Loss: 1.5408 - Accuracy: 0.7812 - F1: 0.7758
sub_5:Test (Best Model) - Loss: 0.3959 - Accuracy: 0.8750 - F1: 0.8750
sub_7:Test (Best Model) - Loss: 0.2614 - Accuracy: 0.9375 - F1: 0.9365
sub_11:Test (Best Model) - Loss: 1.3657 - Accuracy: 0.5455 - F1: 0.4762
sub_12:Test (Best Model) - Loss: 0.5585 - Accuracy: 0.7500 - F1: 0.7091
sub_10:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 1.1434 - Accuracy: 0.7879 - F1: 0.7664
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.5574 - Accuracy: 0.8182 - F1: 0.8180
sub_14:Test (Best Model) - Loss: 0.0941 - Accuracy: 0.9375 - F1: 0.9352
sub_5:Test (Best Model) - Loss: 0.7402 - Accuracy: 0.8750 - F1: 0.8745
sub_6:Test (Best Model) - Loss: 0.2060 - Accuracy: 0.9394 - F1: 0.9389
sub_8:Test (Best Model) - Loss: 0.2007 - Accuracy: 0.9062 - F1: 0.9015
sub_3:Test (Best Model) - Loss: 0.3370 - Accuracy: 0.8788 - F1: 0.8787
sub_13:Test (Best Model) - Loss: 1.1807 - Accuracy: 0.7500 - F1: 0.7460
sub_10:Test (Best Model) - Loss: 0.0058 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.0766 - Accuracy: 0.9697 - F1: 0.9696
sub_2:Test (Best Model) - Loss: 0.6861 - Accuracy: 0.6667 - F1: 0.5935
sub_14:Test (Best Model) - Loss: 0.6739 - Accuracy: 0.5625 - F1: 0.3600
sub_4:Test (Best Model) - Loss: 0.5508 - Accuracy: 0.7879 - F1: 0.7664
sub_7:Test (Best Model) - Loss: 0.0021 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0165 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.3784 - Accuracy: 0.9062 - F1: 0.9039
sub_1:Test (Best Model) - Loss: 1.0734 - Accuracy: 0.7500 - F1: 0.7091
sub_6:Test (Best Model) - Loss: 0.1256 - Accuracy: 0.9091 - F1: 0.9077
sub_5:Test (Best Model) - Loss: 0.3937 - Accuracy: 0.8438 - F1: 0.8359
sub_8:Test (Best Model) - Loss: 0.7179 - Accuracy: 0.7812 - F1: 0.7519
sub_14:Test (Best Model) - Loss: 0.6290 - Accuracy: 0.5625 - F1: 0.3600
sub_13:Test (Best Model) - Loss: 0.6998 - Accuracy: 0.8125 - F1: 0.8095
sub_7:Test (Best Model) - Loss: 0.4947 - Accuracy: 0.8125 - F1: 0.7922
sub_15:Test (Best Model) - Loss: 0.6771 - Accuracy: 0.5625 - F1: 0.3600
sub_2:Test (Best Model) - Loss: 0.8885 - Accuracy: 0.7879 - F1: 0.7664
sub_3:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.1553 - Accuracy: 0.9375 - F1: 0.9365
sub_4:Test (Best Model) - Loss: 1.4043 - Accuracy: 0.7879 - F1: 0.7664
sub_10:Test (Best Model) - Loss: 0.3269 - Accuracy: 0.9697 - F1: 0.9692
sub_5:Test (Best Model) - Loss: 0.3226 - Accuracy: 0.9375 - F1: 0.9352
sub_1:Test (Best Model) - Loss: 0.0061 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.6644 - Accuracy: 0.7576 - F1: 0.7273
sub_11:Test (Best Model) - Loss: 0.2863 - Accuracy: 0.9091 - F1: 0.9060
sub_14:Test (Best Model) - Loss: 0.1596 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 1.2055 - Accuracy: 0.7812 - F1: 0.7519
sub_9:Test (Best Model) - Loss: 0.5310 - Accuracy: 0.8438 - F1: 0.8303
sub_4:Test (Best Model) - Loss: 1.1322 - Accuracy: 0.7576 - F1: 0.7273
sub_2:Test (Best Model) - Loss: 0.7422 - Accuracy: 0.6061 - F1: 0.4850
sub_6:Test (Best Model) - Loss: 0.1820 - Accuracy: 0.9091 - F1: 0.9060
sub_11:Test (Best Model) - Loss: 0.1928 - Accuracy: 0.9394 - F1: 0.9380
sub_13:Test (Best Model) - Loss: 1.3875 - Accuracy: 0.8750 - F1: 0.8667
sub_3:Test (Best Model) - Loss: 0.0248 - Accuracy: 0.9697 - F1: 0.9696
sub_1:Test (Best Model) - Loss: 0.3271 - Accuracy: 0.8750 - F1: 0.8667
sub_10:Test (Best Model) - Loss: 0.0518 - Accuracy: 0.9697 - F1: 0.9692
sub_5:Test (Best Model) - Loss: 0.1878 - Accuracy: 0.9375 - F1: 0.9352
sub_8:Test (Best Model) - Loss: 0.3144 - Accuracy: 0.8125 - F1: 0.7922
sub_9:Test (Best Model) - Loss: 0.0595 - Accuracy: 0.9375 - F1: 0.9365
sub_4:Test (Best Model) - Loss: 2.2886 - Accuracy: 0.7273 - F1: 0.6857
sub_11:Test (Best Model) - Loss: 1.1510 - Accuracy: 0.5758 - F1: 0.5227
sub_3:Test (Best Model) - Loss: 0.0727 - Accuracy: 0.9697 - F1: 0.9692
sub_6:Test (Best Model) - Loss: 0.5013 - Accuracy: 0.8485 - F1: 0.8390
sub_9:Test (Best Model) - Loss: 0.4919 - Accuracy: 0.7500 - F1: 0.7091
sub_1:Test (Best Model) - Loss: 0.0026 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0026 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.6632 - Accuracy: 0.8125 - F1: 0.7922
sub_3:Test (Best Model) - Loss: 0.6131 - Accuracy: 0.7576 - F1: 0.7273
sub_28:Test (Best Model) - Loss: 0.6552 - Accuracy: 0.5625 - F1: 0.3600
sub_20:Test (Best Model) - Loss: 0.6321 - Accuracy: 0.5625 - F1: 0.3600
sub_25:Test (Best Model) - Loss: 0.6766 - Accuracy: 0.5455 - F1: 0.3529
sub_27:Test (Best Model) - Loss: 0.6726 - Accuracy: 0.5455 - F1: 0.3529
sub_23:Test (Best Model) - Loss: 0.6409 - Accuracy: 0.5455 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 0.6726 - Accuracy: 0.5455 - F1: 0.3529
sub_16:Test (Best Model) - Loss: 0.6173 - Accuracy: 0.5625 - F1: 0.3600
sub_24:Test (Best Model) - Loss: 0.6236 - Accuracy: 0.5625 - F1: 0.3600
sub_21:Test (Best Model) - Loss: 0.6604 - Accuracy: 0.5625 - F1: 0.3600
sub_29:Test (Best Model) - Loss: 0.1662 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.6779 - Accuracy: 0.5455 - F1: 0.3529
sub_18:Test (Best Model) - Loss: 0.5342 - Accuracy: 0.9091 - F1: 0.9091
sub_19:Test (Best Model) - Loss: 0.1005 - Accuracy: 0.9688 - F1: 0.9685
sub_26:Test (Best Model) - Loss: 0.5356 - Accuracy: 0.8485 - F1: 0.8479
sub_22:Test (Best Model) - Loss: 0.4040 - Accuracy: 0.9062 - F1: 0.9015
sub_27:Test (Best Model) - Loss: 0.0434 - Accuracy: 0.9697 - F1: 0.9692
sub_28:Test (Best Model) - Loss: 0.6644 - Accuracy: 0.5625 - F1: 0.3600
sub_17:Test (Best Model) - Loss: 0.0434 - Accuracy: 0.9697 - F1: 0.9692
sub_20:Test (Best Model) - Loss: 0.2474 - Accuracy: 0.9062 - F1: 0.9015
sub_24:Test (Best Model) - Loss: 0.3820 - Accuracy: 0.8438 - F1: 0.8303
sub_21:Test (Best Model) - Loss: 0.3577 - Accuracy: 0.8750 - F1: 0.8745
sub_16:Test (Best Model) - Loss: 0.3302 - Accuracy: 0.9062 - F1: 0.9039
sub_29:Test (Best Model) - Loss: 0.5372 - Accuracy: 0.9062 - F1: 0.9015
sub_19:Test (Best Model) - Loss: 0.0650 - Accuracy: 0.9688 - F1: 0.9685
sub_25:Test (Best Model) - Loss: 0.5624 - Accuracy: 0.8485 - F1: 0.8390
sub_22:Test (Best Model) - Loss: 0.0466 - Accuracy: 0.9688 - F1: 0.9680
sub_21:Test (Best Model) - Loss: 0.5575 - Accuracy: 0.7500 - F1: 0.7091
sub_18:Test (Best Model) - Loss: 0.0613 - Accuracy: 0.9697 - F1: 0.9696
sub_26:Test (Best Model) - Loss: 0.3032 - Accuracy: 0.8788 - F1: 0.8759
sub_27:Test (Best Model) - Loss: 0.8266 - Accuracy: 0.7576 - F1: 0.7273
sub_17:Test (Best Model) - Loss: 0.8266 - Accuracy: 0.7576 - F1: 0.7273
sub_25:Test (Best Model) - Loss: 0.5653 - Accuracy: 0.7273 - F1: 0.6857
sub_29:Test (Best Model) - Loss: 0.5355 - Accuracy: 0.8750 - F1: 0.8667
sub_23:Test (Best Model) - Loss: 0.6987 - Accuracy: 0.7576 - F1: 0.7273
sub_28:Test (Best Model) - Loss: 0.6586 - Accuracy: 0.6562 - F1: 0.5594
sub_21:Test (Best Model) - Loss: 0.6198 - Accuracy: 0.6250 - F1: 0.5000
sub_24:Test (Best Model) - Loss: 0.5262 - Accuracy: 0.8750 - F1: 0.8667
sub_19:Test (Best Model) - Loss: 0.1473 - Accuracy: 0.9375 - F1: 0.9365
sub_16:Test (Best Model) - Loss: 0.4148 - Accuracy: 0.9062 - F1: 0.9054
sub_20:Test (Best Model) - Loss: 0.2375 - Accuracy: 0.9062 - F1: 0.9015
sub_25:Test (Best Model) - Loss: 0.6868 - Accuracy: 0.5455 - F1: 0.3529
sub_22:Test (Best Model) - Loss: 0.1363 - Accuracy: 0.9375 - F1: 0.9352
sub_23:Test (Best Model) - Loss: 0.6441 - Accuracy: 0.6061 - F1: 0.4850
sub_28:Test (Best Model) - Loss: 0.6340 - Accuracy: 0.5625 - F1: 0.3600
sub_26:Test (Best Model) - Loss: 0.4830 - Accuracy: 0.8788 - F1: 0.8731
sub_24:Test (Best Model) - Loss: 0.6560 - Accuracy: 0.5625 - F1: 0.3600
sub_27:Test (Best Model) - Loss: 0.2642 - Accuracy: 0.9091 - F1: 0.9060
sub_20:Test (Best Model) - Loss: 0.6827 - Accuracy: 0.5625 - F1: 0.3600
sub_17:Test (Best Model) - Loss: 0.2642 - Accuracy: 0.9091 - F1: 0.9060
sub_29:Test (Best Model) - Loss: 0.4130 - Accuracy: 0.9062 - F1: 0.9015
sub_19:Test (Best Model) - Loss: 0.0306 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.6576 - Accuracy: 0.5758 - F1: 0.4225
sub_26:Test (Best Model) - Loss: 0.6597 - Accuracy: 0.5455 - F1: 0.3529
sub_18:Test (Best Model) - Loss: 0.2955 - Accuracy: 0.8788 - F1: 0.8731
sub_28:Test (Best Model) - Loss: 1.9610 - Accuracy: 0.5625 - F1: 0.3600
sub_21:Test (Best Model) - Loss: 0.3743 - Accuracy: 0.8438 - F1: 0.8359
sub_16:Test (Best Model) - Loss: 0.0831 - Accuracy: 0.9375 - F1: 0.9365
sub_24:Test (Best Model) - Loss: 0.1186 - Accuracy: 0.9688 - F1: 0.9680
sub_27:Test (Best Model) - Loss: 0.0302 - Accuracy: 0.9697 - F1: 0.9692
sub_22:Test (Best Model) - Loss: 0.9634 - Accuracy: 0.5938 - F1: 0.5589
sub_23:Test (Best Model) - Loss: 1.2110 - Accuracy: 0.5938 - F1: 0.4340
sub_17:Test (Best Model) - Loss: 0.0302 - Accuracy: 0.9697 - F1: 0.9692
sub_19:Test (Best Model) - Loss: 0.5496 - Accuracy: 0.8438 - F1: 0.8303
sub_25:Test (Best Model) - Loss: 1.8290 - Accuracy: 0.6667 - F1: 0.5935
sub_20:Test (Best Model) - Loss: 0.2421 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 0.9042 - Accuracy: 0.8125 - F1: 0.7922
sub_22:Test (Best Model) - Loss: 0.3319 - Accuracy: 0.8438 - F1: 0.8303
sub_26:Test (Best Model) - Loss: 0.5096 - Accuracy: 0.8788 - F1: 0.8731
sub_21:Test (Best Model) - Loss: 0.1528 - Accuracy: 0.9375 - F1: 0.9352
sub_16:Test (Best Model) - Loss: 0.2321 - Accuracy: 0.8750 - F1: 0.8667
sub_23:Test (Best Model) - Loss: 0.8846 - Accuracy: 0.3438 - F1: 0.2558
sub_28:Test (Best Model) - Loss: 0.6126 - Accuracy: 0.5625 - F1: 0.3600
sub_27:Test (Best Model) - Loss: 0.3137 - Accuracy: 0.9697 - F1: 0.9692
sub_18:Test (Best Model) - Loss: 0.1495 - Accuracy: 0.9091 - F1: 0.9091
sub_17:Test (Best Model) - Loss: 0.3137 - Accuracy: 0.9697 - F1: 0.9692
sub_24:Test (Best Model) - Loss: 0.9317 - Accuracy: 0.7812 - F1: 0.7793
sub_20:Test (Best Model) - Loss: 0.5066 - Accuracy: 0.8125 - F1: 0.7922
sub_26:Test (Best Model) - Loss: 0.5099 - Accuracy: 0.8750 - F1: 0.8667
sub_29:Test (Best Model) - Loss: 0.0297 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.4868 - Accuracy: 0.7500 - F1: 0.7091
sub_28:Test (Best Model) - Loss: 0.6418 - Accuracy: 0.5625 - F1: 0.3600
sub_22:Test (Best Model) - Loss: 0.5576 - Accuracy: 0.8788 - F1: 0.8731
sub_19:Test (Best Model) - Loss: 0.0379 - Accuracy: 0.9688 - F1: 0.9685
sub_16:Test (Best Model) - Loss: 0.1289 - Accuracy: 0.9688 - F1: 0.9685
sub_27:Test (Best Model) - Loss: 0.0235 - Accuracy: 0.9697 - F1: 0.9692
sub_23:Test (Best Model) - Loss: 0.7099 - Accuracy: 0.4688 - F1: 0.4640
sub_28:Test (Best Model) - Loss: 0.6455 - Accuracy: 0.5625 - F1: 0.3600
sub_17:Test (Best Model) - Loss: 0.0235 - Accuracy: 0.9697 - F1: 0.9692
sub_21:Test (Best Model) - Loss: 0.5194 - Accuracy: 0.8125 - F1: 0.7922
sub_29:Test (Best Model) - Loss: 0.2970 - Accuracy: 0.9062 - F1: 0.9062
sub_24:Test (Best Model) - Loss: 0.1830 - Accuracy: 0.9688 - F1: 0.9680
sub_27:Test (Best Model) - Loss: 0.6682 - Accuracy: 0.5758 - F1: 0.4225
sub_18:Test (Best Model) - Loss: 0.1702 - Accuracy: 0.9091 - F1: 0.9060
sub_20:Test (Best Model) - Loss: 0.0830 - Accuracy: 0.9688 - F1: 0.9680
sub_22:Test (Best Model) - Loss: 0.5793 - Accuracy: 0.8485 - F1: 0.8390
sub_28:Test (Best Model) - Loss: 0.6855 - Accuracy: 0.5625 - F1: 0.3600
sub_25:Test (Best Model) - Loss: 0.0794 - Accuracy: 0.9688 - F1: 0.9680
sub_26:Test (Best Model) - Loss: 1.0952 - Accuracy: 0.8750 - F1: 0.8667
sub_17:Test (Best Model) - Loss: 0.6682 - Accuracy: 0.5758 - F1: 0.4225
sub_19:Test (Best Model) - Loss: 0.1003 - Accuracy: 0.9688 - F1: 0.9680
sub_18:Test (Best Model) - Loss: 0.6217 - Accuracy: 0.5625 - F1: 0.3600
sub_16:Test (Best Model) - Loss: 0.0623 - Accuracy: 0.9688 - F1: 0.9680
sub_28:Test (Best Model) - Loss: 0.7435 - Accuracy: 0.5625 - F1: 0.3600
sub_23:Test (Best Model) - Loss: 0.6230 - Accuracy: 0.8125 - F1: 0.7922
sub_29:Test (Best Model) - Loss: 0.0521 - Accuracy: 0.9688 - F1: 0.9685
sub_21:Test (Best Model) - Loss: 0.7540 - Accuracy: 0.7812 - F1: 0.7519
sub_27:Test (Best Model) - Loss: 0.6348 - Accuracy: 0.8182 - F1: 0.8036
sub_24:Test (Best Model) - Loss: 0.2139 - Accuracy: 0.9375 - F1: 0.9373
sub_20:Test (Best Model) - Loss: 0.2667 - Accuracy: 0.9062 - F1: 0.9015
sub_17:Test (Best Model) - Loss: 0.6348 - Accuracy: 0.8182 - F1: 0.8036
sub_26:Test (Best Model) - Loss: 0.7598 - Accuracy: 0.8438 - F1: 0.8303
sub_28:Test (Best Model) - Loss: 0.6842 - Accuracy: 0.5625 - F1: 0.3600
sub_29:Test (Best Model) - Loss: 0.6184 - Accuracy: 0.5625 - F1: 0.3600
sub_21:Test (Best Model) - Loss: 0.6672 - Accuracy: 0.5625 - F1: 0.3600
sub_22:Test (Best Model) - Loss: 0.6050 - Accuracy: 0.7576 - F1: 0.7381
sub_23:Test (Best Model) - Loss: 1.2559 - Accuracy: 0.5938 - F1: 0.4340
sub_25:Test (Best Model) - Loss: 0.1255 - Accuracy: 0.9375 - F1: 0.9352
sub_19:Test (Best Model) - Loss: 0.0288 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.1639 - Accuracy: 0.9688 - F1: 0.9685
sub_20:Test (Best Model) - Loss: 0.6661 - Accuracy: 0.5625 - F1: 0.3600
sub_24:Test (Best Model) - Loss: 0.0587 - Accuracy: 0.9688 - F1: 0.9680
sub_28:Test (Best Model) - Loss: 5.2772 - Accuracy: 0.4688 - F1: 0.3637
sub_25:Test (Best Model) - Loss: 0.6286 - Accuracy: 0.5625 - F1: 0.3600
sub_16:Test (Best Model) - Loss: 0.5026 - Accuracy: 0.8750 - F1: 0.8750
sub_20:Test (Best Model) - Loss: 0.6593 - Accuracy: 0.5625 - F1: 0.3600
sub_27:Test (Best Model) - Loss: 1.4727 - Accuracy: 0.8182 - F1: 0.8036
sub_17:Test (Best Model) - Loss: 1.4727 - Accuracy: 0.8182 - F1: 0.8036
sub_21:Test (Best Model) - Loss: 1.1867 - Accuracy: 0.6250 - F1: 0.5000
sub_18:Test (Best Model) - Loss: 0.2547 - Accuracy: 0.8750 - F1: 0.8750
sub_26:Test (Best Model) - Loss: 0.0630 - Accuracy: 0.9688 - F1: 0.9680
sub_24:Test (Best Model) - Loss: 0.6325 - Accuracy: 0.5938 - F1: 0.4340
sub_25:Test (Best Model) - Loss: 0.6633 - Accuracy: 0.5625 - F1: 0.3600
sub_19:Test (Best Model) - Loss: 0.0370 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.3619 - Accuracy: 0.9375 - F1: 0.9352
sub_22:Test (Best Model) - Loss: 1.2218 - Accuracy: 0.7879 - F1: 0.7664
sub_21:Test (Best Model) - Loss: 0.6695 - Accuracy: 0.5625 - F1: 0.3600
sub_18:Test (Best Model) - Loss: 0.6763 - Accuracy: 0.5625 - F1: 0.3600
sub_26:Test (Best Model) - Loss: 0.6468 - Accuracy: 0.5625 - F1: 0.3600
sub_23:Test (Best Model) - Loss: 10.2489 - Accuracy: 0.3333 - F1: 0.2500
sub_16:Test (Best Model) - Loss: 0.4279 - Accuracy: 0.8125 - F1: 0.8118
sub_28:Test (Best Model) - Loss: 0.5058 - Accuracy: 0.7812 - F1: 0.7758
sub_20:Test (Best Model) - Loss: 1.0138 - Accuracy: 0.7879 - F1: 0.7664
sub_22:Test (Best Model) - Loss: 0.8441 - Accuracy: 0.5758 - F1: 0.4225
sub_27:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.6412 - Accuracy: 0.5938 - F1: 0.4340
sub_29:Test (Best Model) - Loss: 0.0717 - Accuracy: 0.9394 - F1: 0.9380
sub_19:Test (Best Model) - Loss: 0.3550 - Accuracy: 0.8125 - F1: 0.7922
sub_26:Test (Best Model) - Loss: 0.6668 - Accuracy: 0.5625 - F1: 0.3600
sub_21:Test (Best Model) - Loss: 0.5464 - Accuracy: 0.8438 - F1: 0.8303
sub_24:Test (Best Model) - Loss: 1.0473 - Accuracy: 0.7188 - F1: 0.7117
sub_18:Test (Best Model) - Loss: 0.6587 - Accuracy: 0.5625 - F1: 0.3600
sub_25:Test (Best Model) - Loss: 0.7371 - Accuracy: 0.7812 - F1: 0.7519
sub_20:Test (Best Model) - Loss: 1.0119 - Accuracy: 0.7273 - F1: 0.6857
sub_28:Test (Best Model) - Loss: 3.2019 - Accuracy: 0.5312 - F1: 0.4684
sub_27:Test (Best Model) - Loss: 0.0181 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.3569 - Accuracy: 0.8438 - F1: 0.8398
sub_22:Test (Best Model) - Loss: 0.7187 - Accuracy: 0.6875 - F1: 0.6761
sub_23:Test (Best Model) - Loss: 5.5033 - Accuracy: 0.2727 - F1: 0.2143
sub_29:Test (Best Model) - Loss: 0.0134 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0181 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.1172 - Accuracy: 0.9375 - F1: 0.9352
sub_21:Test (Best Model) - Loss: 0.9198 - Accuracy: 0.7500 - F1: 0.7091
sub_19:Test (Best Model) - Loss: 0.5660 - Accuracy: 0.8125 - F1: 0.8118
sub_18:Test (Best Model) - Loss: 0.2737 - Accuracy: 0.9688 - F1: 0.9685
sub_20:Test (Best Model) - Loss: 0.9719 - Accuracy: 0.7273 - F1: 0.6997
sub_26:Test (Best Model) - Loss: 0.6426 - Accuracy: 0.5938 - F1: 0.4340
sub_22:Test (Best Model) - Loss: 0.4613 - Accuracy: 0.7812 - F1: 0.7810
sub_28:Test (Best Model) - Loss: 1.3810 - Accuracy: 0.5625 - F1: 0.5466
sub_29:Test (Best Model) - Loss: 0.0203 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.2713 - Accuracy: 0.8438 - F1: 0.8303
sub_18:Test (Best Model) - Loss: 0.6734 - Accuracy: 0.5625 - F1: 0.3600
sub_21:Test (Best Model) - Loss: 0.9705 - Accuracy: 0.8125 - F1: 0.7922
sub_24:Test (Best Model) - Loss: 0.4966 - Accuracy: 0.8438 - F1: 0.8398
sub_19:Test (Best Model) - Loss: 0.2881 - Accuracy: 0.9375 - F1: 0.9352
sub_16:Test (Best Model) - Loss: 0.1513 - Accuracy: 0.9688 - F1: 0.9680
sub_27:Test (Best Model) - Loss: 0.1381 - Accuracy: 0.9688 - F1: 0.9680
sub_25:Test (Best Model) - Loss: 0.6724 - Accuracy: 0.5625 - F1: 0.3600
sub_17:Test (Best Model) - Loss: 0.1381 - Accuracy: 0.9688 - F1: 0.9680
sub_26:Test (Best Model) - Loss: 0.5825 - Accuracy: 0.8438 - F1: 0.8303
sub_20:Test (Best Model) - Loss: 0.4600 - Accuracy: 0.8788 - F1: 0.8731
sub_21:Test (Best Model) - Loss: 0.6578 - Accuracy: 0.5938 - F1: 0.4340
sub_29:Test (Best Model) - Loss: 0.4553 - Accuracy: 0.9091 - F1: 0.9060
sub_22:Test (Best Model) - Loss: 0.6131 - Accuracy: 0.7812 - F1: 0.7810
sub_23:Test (Best Model) - Loss: 4.3901 - Accuracy: 0.1515 - F1: 0.1316
sub_18:Test (Best Model) - Loss: 0.1923 - Accuracy: 0.9688 - F1: 0.9685
sub_24:Test (Best Model) - Loss: 0.8690 - Accuracy: 0.7500 - F1: 0.7229
sub_19:Test (Best Model) - Loss: 0.9469 - Accuracy: 0.8125 - F1: 0.7922
sub_23:Test (Best Model) - Loss: 1.0399 - Accuracy: 0.1818 - F1: 0.1818
sub_27:Test (Best Model) - Loss: 0.0198 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0198 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.6733 - Accuracy: 0.5625 - F1: 0.3600
sub_16:Test (Best Model) - Loss: 0.0515 - Accuracy: 0.9688 - F1: 0.9680
sub_22:Test (Best Model) - Loss: 0.2535 - Accuracy: 0.9062 - F1: 0.9054
sub_26:Test (Best Model) - Loss: 0.6510 - Accuracy: 0.8750 - F1: 0.8667
sub_19:Test (Best Model) - Loss: 0.3028 - Accuracy: 0.9375 - F1: 0.9352
sub_24:Test (Best Model) - Loss: 0.3904 - Accuracy: 0.9375 - F1: 0.9373
sub_20:Test (Best Model) - Loss: 0.9826 - Accuracy: 0.7879 - F1: 0.7806
sub_29:Test (Best Model) - Loss: 0.0617 - Accuracy: 0.9697 - F1: 0.9692
sub_16:Test (Best Model) - Loss: 0.6735 - Accuracy: 0.5625 - F1: 0.3600
sub_25:Test (Best Model) - Loss: 1.0770 - Accuracy: 0.7188 - F1: 0.6632
sub_22:Test (Best Model) - Loss: 0.5762 - Accuracy: 0.6875 - F1: 0.6135
sub_27:Test (Best Model) - Loss: 0.0361 - Accuracy: 0.9688 - F1: 0.9685
sub_23:Test (Best Model) - Loss: 6.5105 - Accuracy: 0.2424 - F1: 0.1951
sub_24:Test (Best Model) - Loss: 0.9621 - Accuracy: 0.7188 - F1: 0.7117
sub_17:Test (Best Model) - Loss: 0.0361 - Accuracy: 0.9688 - F1: 0.9685
sub_19:Test (Best Model) - Loss: 0.4723 - Accuracy: 0.9375 - F1: 0.9352
sub_16:Test (Best Model) - Loss: 0.3331 - Accuracy: 0.8750 - F1: 0.8667
sub_25:Test (Best Model) - Loss: 0.4375 - Accuracy: 0.7812 - F1: 0.7519
sub_16:Test (Best Model) - Loss: 0.6895 - Accuracy: 0.5625 - F1: 0.3600

=== Summary Results ===

acc: 80.07 ± 11.35
F1: 75.26 ± 14.74
acc-in: 85.66 ± 8.68
F1-in: 80.93 ± 11.94
runing time: 887.52 seconds
