lr: 0.0001
sub_3:Test (Best Model) - Loss: 4.3226 - Accuracy: 0.9062 - F1: 0.9015
sub_1:Test (Best Model) - Loss: 0.0946 - Accuracy: 0.9688 - F1: 0.9680
sub_2:Test (Best Model) - Loss: 1.1766 - Accuracy: 0.5758 - F1: 0.5722
sub_3:Test (Best Model) - Loss: 4.0088 - Accuracy: 0.9688 - F1: 0.9680
sub_1:Test (Best Model) - Loss: 0.1206 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 1.6928 - Accuracy: 0.6061 - F1: 0.6046
sub_3:Test (Best Model) - Loss: 4.5457 - Accuracy: 0.9688 - F1: 0.9680
sub_2:Test (Best Model) - Loss: 1.1074 - Accuracy: 0.5758 - F1: 0.5722
sub_1:Test (Best Model) - Loss: 0.0257 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 5.8993 - Accuracy: 0.9688 - F1: 0.9680
sub_2:Test (Best Model) - Loss: 3.0299 - Accuracy: 0.6061 - F1: 0.6046
sub_3:Test (Best Model) - Loss: 4.4724 - Accuracy: 0.9688 - F1: 0.9680
sub_1:Test (Best Model) - Loss: 0.2207 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 1.1779 - Accuracy: 0.5758 - F1: 0.5754
sub_3:Test (Best Model) - Loss: 0.3323 - Accuracy: 0.8182 - F1: 0.8167
sub_1:Test (Best Model) - Loss: 0.0235 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.2374 - Accuracy: 0.8788 - F1: 0.8787
sub_2:Test (Best Model) - Loss: 0.0767 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.3447 - Accuracy: 0.8182 - F1: 0.8167
sub_3:Test (Best Model) - Loss: 0.2218 - Accuracy: 0.9091 - F1: 0.9091
sub_1:Test (Best Model) - Loss: 0.4493 - Accuracy: 0.6970 - F1: 0.6827
sub_2:Test (Best Model) - Loss: 0.3398 - Accuracy: 0.9062 - F1: 0.9062
sub_3:Test (Best Model) - Loss: 0.1876 - Accuracy: 0.8788 - F1: 0.8787
sub_1:Test (Best Model) - Loss: 0.5490 - Accuracy: 0.5455 - F1: 0.4762
sub_3:Test (Best Model) - Loss: 0.1835 - Accuracy: 0.9394 - F1: 0.9393
sub_2:Test (Best Model) - Loss: 0.1802 - Accuracy: 0.9375 - F1: 0.9352
sub_1:Test (Best Model) - Loss: 0.5996 - Accuracy: 0.5152 - F1: 0.4261
sub_3:Test (Best Model) - Loss: 0.0483 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.4755 - Accuracy: 0.6667 - F1: 0.6459
sub_2:Test (Best Model) - Loss: 0.2732 - Accuracy: 0.9688 - F1: 0.9685
sub_3:Test (Best Model) - Loss: 0.1028 - Accuracy: 0.9697 - F1: 0.9692
sub_3:Test (Best Model) - Loss: 0.1092 - Accuracy: 0.9697 - F1: 0.9692
sub_1:Test (Best Model) - Loss: 0.5871 - Accuracy: 0.9375 - F1: 0.9352
sub_2:Test (Best Model) - Loss: 0.2699 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0777 - Accuracy: 0.9697 - F1: 0.9692
sub_1:Test (Best Model) - Loss: 0.1374 - Accuracy: 0.9375 - F1: 0.9352
sub_2:Test (Best Model) - Loss: 1.5940 - Accuracy: 0.8485 - F1: 0.8390
sub_3:Test (Best Model) - Loss: 0.2162 - Accuracy: 0.9394 - F1: 0.9380
sub_1:Test (Best Model) - Loss: 0.2380 - Accuracy: 0.9062 - F1: 0.9015
sub_2:Test (Best Model) - Loss: 0.3847 - Accuracy: 0.8485 - F1: 0.8390
sub_2:Test (Best Model) - Loss: 0.3431 - Accuracy: 0.9091 - F1: 0.9060
sub_1:Test (Best Model) - Loss: 0.1652 - Accuracy: 0.9375 - F1: 0.9352
sub_2:Test (Best Model) - Loss: 0.2194 - Accuracy: 0.9394 - F1: 0.9380
sub_1:Test (Best Model) - Loss: 0.1825 - Accuracy: 0.9375 - F1: 0.9352
sub_2:Test (Best Model) - Loss: 1.3909 - Accuracy: 0.8182 - F1: 0.8036
sub_5:Test (Best Model) - Loss: 0.0024 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.2013 - Accuracy: 0.9091 - F1: 0.9077
sub_6:Test (Best Model) - Loss: 1.6546 - Accuracy: 0.4375 - F1: 0.3766
sub_5:Test (Best Model) - Loss: 0.0620 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.1840 - Accuracy: 0.9091 - F1: 0.9060
sub_6:Test (Best Model) - Loss: 0.9136 - Accuracy: 0.5938 - F1: 0.5901
sub_5:Test (Best Model) - Loss: 0.0280 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 1.1410 - Accuracy: 0.6250 - F1: 0.6235
sub_5:Test (Best Model) - Loss: 0.0649 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 1.1250 - Accuracy: 0.5625 - F1: 0.5608
sub_4:Test (Best Model) - Loss: 0.2174 - Accuracy: 0.8788 - F1: 0.8759
sub_5:Test (Best Model) - Loss: 0.0062 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 1.2317 - Accuracy: 0.5938 - F1: 0.5901
sub_4:Test (Best Model) - Loss: 0.2671 - Accuracy: 0.8788 - F1: 0.8731
sub_5:Test (Best Model) - Loss: 0.1075 - Accuracy: 0.9062 - F1: 0.9062
sub_6:Test (Best Model) - Loss: 0.2835 - Accuracy: 0.9091 - F1: 0.9060
sub_4:Test (Best Model) - Loss: 0.2038 - Accuracy: 0.9091 - F1: 0.9060
sub_5:Test (Best Model) - Loss: 0.1287 - Accuracy: 0.9062 - F1: 0.9062
sub_6:Test (Best Model) - Loss: 0.3280 - Accuracy: 0.9091 - F1: 0.9060
sub_4:Test (Best Model) - Loss: 0.0486 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0817 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.2927 - Accuracy: 0.9091 - F1: 0.9060
sub_5:Test (Best Model) - Loss: 0.1282 - Accuracy: 0.9062 - F1: 0.9062
sub_4:Test (Best Model) - Loss: 0.0354 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.3360 - Accuracy: 0.9091 - F1: 0.9060
sub_5:Test (Best Model) - Loss: 0.1412 - Accuracy: 0.9062 - F1: 0.9062
sub_4:Test (Best Model) - Loss: 0.0797 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.3702 - Accuracy: 0.9091 - F1: 0.9060
sub_5:Test (Best Model) - Loss: 0.1538 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 0.1074 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.1539 - Accuracy: 0.9688 - F1: 0.9680
sub_6:Test (Best Model) - Loss: 0.3879 - Accuracy: 0.8788 - F1: 0.8731
sub_4:Test (Best Model) - Loss: 0.0750 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.1034 - Accuracy: 0.9688 - F1: 0.9680
sub_5:Test (Best Model) - Loss: 0.1197 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 0.1185 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.0433 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.1767 - Accuracy: 0.9697 - F1: 0.9692
sub_5:Test (Best Model) - Loss: 0.1286 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 0.2340 - Accuracy: 0.9394 - F1: 0.9380
sub_6:Test (Best Model) - Loss: 0.1186 - Accuracy: 0.9697 - F1: 0.9692
sub_4:Test (Best Model) - Loss: 0.2319 - Accuracy: 0.9697 - F1: 0.9692
sub_6:Test (Best Model) - Loss: 0.1759 - Accuracy: 0.9697 - F1: 0.9692
sub_4:Test (Best Model) - Loss: 0.1661 - Accuracy: 0.8788 - F1: 0.8731
sub_6:Test (Best Model) - Loss: 0.1225 - Accuracy: 0.9394 - F1: 0.9380
sub_7:Test (Best Model) - Loss: 0.0443 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.3020 - Accuracy: 0.8125 - F1: 0.8125
sub_8:Test (Best Model) - Loss: 0.3050 - Accuracy: 0.8750 - F1: 0.8745
sub_9:Test (Best Model) - Loss: 0.3409 - Accuracy: 0.9375 - F1: 0.9365
sub_7:Test (Best Model) - Loss: 0.0128 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.3307 - Accuracy: 0.9375 - F1: 0.9365
sub_9:Test (Best Model) - Loss: 0.3180 - Accuracy: 0.8438 - F1: 0.8436
sub_7:Test (Best Model) - Loss: 0.0368 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.3507 - Accuracy: 0.9062 - F1: 0.9054
sub_8:Test (Best Model) - Loss: 0.3677 - Accuracy: 0.8750 - F1: 0.8745
sub_7:Test (Best Model) - Loss: 0.0496 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.3647 - Accuracy: 0.9688 - F1: 0.9680
sub_9:Test (Best Model) - Loss: 0.6155 - Accuracy: 0.8750 - F1: 0.8730
sub_7:Test (Best Model) - Loss: 0.0137 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.3824 - Accuracy: 0.9688 - F1: 0.9680
sub_9:Test (Best Model) - Loss: 1.1382 - Accuracy: 0.8750 - F1: 0.8730
sub_7:Test (Best Model) - Loss: 0.4407 - Accuracy: 0.7812 - F1: 0.7519
sub_8:Test (Best Model) - Loss: 0.1246 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 1.0769 - Accuracy: 0.8750 - F1: 0.8730
sub_7:Test (Best Model) - Loss: 0.5092 - Accuracy: 0.7812 - F1: 0.7519
sub_9:Test (Best Model) - Loss: 1.3114 - Accuracy: 0.8750 - F1: 0.8730
sub_7:Test (Best Model) - Loss: 0.4144 - Accuracy: 0.8750 - F1: 0.8667
sub_8:Test (Best Model) - Loss: 0.1729 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.3060 - Accuracy: 0.9375 - F1: 0.9352
sub_8:Test (Best Model) - Loss: 0.1182 - Accuracy: 0.9688 - F1: 0.9680
sub_9:Test (Best Model) - Loss: 1.6850 - Accuracy: 0.8750 - F1: 0.8730
sub_8:Test (Best Model) - Loss: 0.1127 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.3102 - Accuracy: 0.9062 - F1: 0.9015
sub_9:Test (Best Model) - Loss: 2.4976 - Accuracy: 0.8750 - F1: 0.8730
sub_9:Test (Best Model) - Loss: 0.2922 - Accuracy: 0.9062 - F1: 0.9062
sub_8:Test (Best Model) - Loss: 0.0956 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.4539 - Accuracy: 0.8750 - F1: 0.8745
sub_9:Test (Best Model) - Loss: 0.1885 - Accuracy: 0.9375 - F1: 0.9373
sub_8:Test (Best Model) - Loss: 0.3006 - Accuracy: 0.9062 - F1: 0.9015
sub_7:Test (Best Model) - Loss: 0.4071 - Accuracy: 0.8438 - F1: 0.8398
sub_8:Test (Best Model) - Loss: 0.3186 - Accuracy: 0.9062 - F1: 0.9015
sub_7:Test (Best Model) - Loss: 0.3701 - Accuracy: 0.8438 - F1: 0.8424
sub_9:Test (Best Model) - Loss: 0.1299 - Accuracy: 0.9375 - F1: 0.9373
sub_8:Test (Best Model) - Loss: 1.1098 - Accuracy: 0.8438 - F1: 0.8303
sub_9:Test (Best Model) - Loss: 0.3365 - Accuracy: 0.8750 - F1: 0.8750
sub_7:Test (Best Model) - Loss: 0.3132 - Accuracy: 0.8750 - F1: 0.8745
sub_8:Test (Best Model) - Loss: 0.2397 - Accuracy: 0.9375 - F1: 0.9352
sub_9:Test (Best Model) - Loss: 1.3360 - Accuracy: 0.9375 - F1: 0.9352
sub_7:Test (Best Model) - Loss: 0.4004 - Accuracy: 0.8438 - F1: 0.8424
sub_8:Test (Best Model) - Loss: 0.4191 - Accuracy: 0.9062 - F1: 0.9015
sub_11:Test (Best Model) - Loss: 1.0254 - Accuracy: 0.6667 - F1: 0.5935
sub_12:Test (Best Model) - Loss: 0.0288 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.1058 - Accuracy: 0.9375 - F1: 0.9373
sub_11:Test (Best Model) - Loss: 2.0052 - Accuracy: 0.7273 - F1: 0.6857
sub_10:Test (Best Model) - Loss: 0.2179 - Accuracy: 0.9375 - F1: 0.9373
sub_12:Test (Best Model) - Loss: 0.0835 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0695 - Accuracy: 0.9688 - F1: 0.9685
sub_11:Test (Best Model) - Loss: 2.7664 - Accuracy: 0.7273 - F1: 0.6857
sub_12:Test (Best Model) - Loss: 0.0705 - Accuracy: 0.9688 - F1: 0.9680
sub_10:Test (Best Model) - Loss: 0.1566 - Accuracy: 0.9375 - F1: 0.9373
sub_12:Test (Best Model) - Loss: 0.1985 - Accuracy: 0.9062 - F1: 0.9015
sub_11:Test (Best Model) - Loss: 5.4476 - Accuracy: 0.6364 - F1: 0.5417
sub_10:Test (Best Model) - Loss: 0.0983 - Accuracy: 0.9688 - F1: 0.9685
sub_12:Test (Best Model) - Loss: 0.1096 - Accuracy: 0.9688 - F1: 0.9680
sub_11:Test (Best Model) - Loss: 1.8277 - Accuracy: 0.6970 - F1: 0.6413
sub_10:Test (Best Model) - Loss: 0.9327 - Accuracy: 0.9688 - F1: 0.9680
sub_12:Test (Best Model) - Loss: 0.6087 - Accuracy: 0.9091 - F1: 0.9060
sub_11:Test (Best Model) - Loss: 0.2406 - Accuracy: 0.9091 - F1: 0.9091
sub_10:Test (Best Model) - Loss: 0.7542 - Accuracy: 0.9688 - F1: 0.9680
sub_12:Test (Best Model) - Loss: 0.5812 - Accuracy: 0.8788 - F1: 0.8731
sub_10:Test (Best Model) - Loss: 1.4968 - Accuracy: 0.9375 - F1: 0.9352
sub_11:Test (Best Model) - Loss: 0.3313 - Accuracy: 0.8182 - F1: 0.8167
sub_12:Test (Best Model) - Loss: 1.0176 - Accuracy: 0.9091 - F1: 0.9060
sub_11:Test (Best Model) - Loss: 0.2877 - Accuracy: 0.9091 - F1: 0.9091
sub_10:Test (Best Model) - Loss: 1.0441 - Accuracy: 0.9688 - F1: 0.9680
sub_12:Test (Best Model) - Loss: 0.6248 - Accuracy: 0.7576 - F1: 0.7273
sub_11:Test (Best Model) - Loss: 0.2934 - Accuracy: 0.9091 - F1: 0.9091
sub_10:Test (Best Model) - Loss: 0.9393 - Accuracy: 0.9375 - F1: 0.9352
sub_12:Test (Best Model) - Loss: 0.4290 - Accuracy: 0.8182 - F1: 0.8036
sub_10:Test (Best Model) - Loss: 0.4180 - Accuracy: 0.9091 - F1: 0.9060
sub_11:Test (Best Model) - Loss: 0.3215 - Accuracy: 0.8485 - F1: 0.8479
sub_12:Test (Best Model) - Loss: 0.2891 - Accuracy: 0.8750 - F1: 0.8750
sub_10:Test (Best Model) - Loss: 0.3000 - Accuracy: 0.8788 - F1: 0.8731
sub_12:Test (Best Model) - Loss: 0.2107 - Accuracy: 0.9062 - F1: 0.9062
sub_10:Test (Best Model) - Loss: 0.3054 - Accuracy: 0.9091 - F1: 0.9060
sub_11:Test (Best Model) - Loss: 0.1263 - Accuracy: 0.9697 - F1: 0.9696
sub_10:Test (Best Model) - Loss: 0.1937 - Accuracy: 0.9394 - F1: 0.9380
sub_12:Test (Best Model) - Loss: 0.2434 - Accuracy: 0.9062 - F1: 0.9039
sub_11:Test (Best Model) - Loss: 0.1048 - Accuracy: 0.9697 - F1: 0.9696
sub_12:Test (Best Model) - Loss: 0.1293 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 1.3887 - Accuracy: 0.8485 - F1: 0.8390
sub_11:Test (Best Model) - Loss: 0.2300 - Accuracy: 0.8788 - F1: 0.8787
sub_12:Test (Best Model) - Loss: 0.2393 - Accuracy: 0.9062 - F1: 0.9054
sub_11:Test (Best Model) - Loss: 0.2747 - Accuracy: 0.8788 - F1: 0.8787
sub_11:Test (Best Model) - Loss: 0.3377 - Accuracy: 0.8485 - F1: 0.8479
sub_13:Test (Best Model) - Loss: 0.1872 - Accuracy: 0.9375 - F1: 0.9352
sub_14:Test (Best Model) - Loss: 2.2645 - Accuracy: 0.6562 - F1: 0.5594
sub_15:Test (Best Model) - Loss: 0.1271 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 0.1600 - Accuracy: 0.9062 - F1: 0.9054
sub_15:Test (Best Model) - Loss: 0.1331 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 4.2331 - Accuracy: 0.6250 - F1: 0.5000
sub_13:Test (Best Model) - Loss: 0.3227 - Accuracy: 0.9375 - F1: 0.9352
sub_15:Test (Best Model) - Loss: 0.1819 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 6.7706 - Accuracy: 0.6250 - F1: 0.5000
sub_15:Test (Best Model) - Loss: 0.1850 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 0.1992 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 4.1907 - Accuracy: 0.6250 - F1: 0.5000
sub_15:Test (Best Model) - Loss: 0.1801 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 0.1478 - Accuracy: 0.9375 - F1: 0.9365
sub_14:Test (Best Model) - Loss: 4.1502 - Accuracy: 0.6250 - F1: 0.5000
sub_13:Test (Best Model) - Loss: 1.4264 - Accuracy: 0.9697 - F1: 0.9692
sub_14:Test (Best Model) - Loss: 0.0388 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0245 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.1031 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0586 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0151 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.2542 - Accuracy: 0.9697 - F1: 0.9692
sub_14:Test (Best Model) - Loss: 0.0072 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.1135 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0535 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.0410 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0826 - Accuracy: 0.9688 - F1: 0.9685
sub_14:Test (Best Model) - Loss: 0.0788 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.0824 - Accuracy: 0.9697 - F1: 0.9692
sub_15:Test (Best Model) - Loss: 0.0867 - Accuracy: 0.9688 - F1: 0.9685
sub_14:Test (Best Model) - Loss: 0.3071 - Accuracy: 0.9062 - F1: 0.9015
sub_15:Test (Best Model) - Loss: 1.1991 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 59.5504 - Accuracy: 0.8438 - F1: 0.8359
sub_15:Test (Best Model) - Loss: 0.6314 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 0.1044 - Accuracy: 0.9375 - F1: 0.9352
sub_13:Test (Best Model) - Loss: 36.0223 - Accuracy: 0.7812 - F1: 0.7625
sub_15:Test (Best Model) - Loss: 0.8216 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 0.0609 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 52.4287 - Accuracy: 0.7812 - F1: 0.7625
sub_15:Test (Best Model) - Loss: 0.3106 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 0.1133 - Accuracy: 0.9375 - F1: 0.9352
sub_13:Test (Best Model) - Loss: 33.4824 - Accuracy: 0.7812 - F1: 0.7625
sub_15:Test (Best Model) - Loss: 0.5299 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 0.1215 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 46.1059 - Accuracy: 0.7812 - F1: 0.7625
sub_16:Test (Best Model) - Loss: 0.0845 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0555 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.3453 - Accuracy: 0.9688 - F1: 0.9680
sub_17:Test (Best Model) - Loss: 0.0690 - Accuracy: 0.9697 - F1: 0.9692
sub_18:Test (Best Model) - Loss: 0.0793 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0858 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.1671 - Accuracy: 0.9697 - F1: 0.9692
sub_16:Test (Best Model) - Loss: 0.1111 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.1120 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.1333 - Accuracy: 0.9697 - F1: 0.9692
sub_16:Test (Best Model) - Loss: 0.3638 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0536 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.3491 - Accuracy: 0.9091 - F1: 0.9060
sub_18:Test (Best Model) - Loss: 0.2524 - Accuracy: 0.8438 - F1: 0.8436
sub_16:Test (Best Model) - Loss: 0.3845 - Accuracy: 0.9688 - F1: 0.9680
sub_18:Test (Best Model) - Loss: 0.2406 - Accuracy: 0.9688 - F1: 0.9685
sub_17:Test (Best Model) - Loss: 0.0072 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.1963 - Accuracy: 0.8438 - F1: 0.8436
sub_18:Test (Best Model) - Loss: 0.1759 - Accuracy: 0.9688 - F1: 0.9685
sub_17:Test (Best Model) - Loss: 0.3059 - Accuracy: 0.9091 - F1: 0.9091
sub_16:Test (Best Model) - Loss: 0.3052 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.9688 - F1: 0.9685
sub_17:Test (Best Model) - Loss: 0.4438 - Accuracy: 0.8182 - F1: 0.8167
sub_18:Test (Best Model) - Loss: 0.2417 - Accuracy: 0.9688 - F1: 0.9685
sub_16:Test (Best Model) - Loss: 0.2188 - Accuracy: 0.8750 - F1: 0.8750
sub_17:Test (Best Model) - Loss: 0.4028 - Accuracy: 0.8182 - F1: 0.8180
sub_17:Test (Best Model) - Loss: 0.2909 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.1177 - Accuracy: 0.9375 - F1: 0.9352
sub_16:Test (Best Model) - Loss: 0.2528 - Accuracy: 0.8750 - F1: 0.8750
sub_17:Test (Best Model) - Loss: 0.3163 - Accuracy: 0.9697 - F1: 0.9696
sub_18:Test (Best Model) - Loss: 0.0962 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.1733 - Accuracy: 0.9375 - F1: 0.9352
sub_17:Test (Best Model) - Loss: 1.0250 - Accuracy: 0.8125 - F1: 0.8057
sub_16:Test (Best Model) - Loss: 2.3550 - Accuracy: 0.7500 - F1: 0.7229
sub_18:Test (Best Model) - Loss: 0.1963 - Accuracy: 0.9062 - F1: 0.9015
sub_17:Test (Best Model) - Loss: 0.9758 - Accuracy: 0.8125 - F1: 0.8057
sub_16:Test (Best Model) - Loss: 2.5180 - Accuracy: 0.7812 - F1: 0.7519
sub_18:Test (Best Model) - Loss: 0.1343 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 1.6372 - Accuracy: 0.8125 - F1: 0.8057
sub_16:Test (Best Model) - Loss: 2.5682 - Accuracy: 0.7500 - F1: 0.7229
sub_18:Test (Best Model) - Loss: 0.1162 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 1.1389 - Accuracy: 0.8438 - F1: 0.8359
sub_16:Test (Best Model) - Loss: 2.9571 - Accuracy: 0.8125 - F1: 0.7922
sub_17:Test (Best Model) - Loss: 0.8224 - Accuracy: 0.8438 - F1: 0.8359
sub_16:Test (Best Model) - Loss: 3.0120 - Accuracy: 0.7812 - F1: 0.7519
sub_21:Test (Best Model) - Loss: 0.6202 - Accuracy: 0.8750 - F1: 0.8667
sub_19:Test (Best Model) - Loss: 1.2783 - Accuracy: 0.7188 - F1: 0.6946
sub_20:Test (Best Model) - Loss: 0.2654 - Accuracy: 0.9688 - F1: 0.9680
sub_19:Test (Best Model) - Loss: 0.6666 - Accuracy: 0.6875 - F1: 0.6537
sub_21:Test (Best Model) - Loss: 0.6877 - Accuracy: 0.8125 - F1: 0.7922
sub_20:Test (Best Model) - Loss: 0.4240 - Accuracy: 0.8438 - F1: 0.8436
sub_19:Test (Best Model) - Loss: 0.6653 - Accuracy: 0.6562 - F1: 0.6267
sub_21:Test (Best Model) - Loss: 0.9112 - Accuracy: 0.8125 - F1: 0.7922
sub_20:Test (Best Model) - Loss: 0.3977 - Accuracy: 0.7500 - F1: 0.7490
sub_19:Test (Best Model) - Loss: 0.4708 - Accuracy: 0.7500 - F1: 0.7091
sub_21:Test (Best Model) - Loss: 0.7382 - Accuracy: 0.8438 - F1: 0.8303
sub_20:Test (Best Model) - Loss: 0.4627 - Accuracy: 0.8438 - F1: 0.8424
sub_19:Test (Best Model) - Loss: 0.9395 - Accuracy: 0.6562 - F1: 0.6102
sub_20:Test (Best Model) - Loss: 0.3490 - Accuracy: 0.8750 - F1: 0.8667
sub_21:Test (Best Model) - Loss: 0.9192 - Accuracy: 0.7812 - F1: 0.7519
sub_19:Test (Best Model) - Loss: 0.4251 - Accuracy: 0.9375 - F1: 0.9373
sub_21:Test (Best Model) - Loss: 0.5668 - Accuracy: 0.9062 - F1: 0.9039
sub_19:Test (Best Model) - Loss: 0.1429 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.1484 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.8801 - Accuracy: 0.8750 - F1: 0.8704
sub_19:Test (Best Model) - Loss: 0.0580 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.1168 - Accuracy: 0.9688 - F1: 0.9680
sub_19:Test (Best Model) - Loss: 0.0516 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 1.7819 - Accuracy: 0.8438 - F1: 0.8398
sub_19:Test (Best Model) - Loss: 0.1048 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.1469 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.6729 - Accuracy: 0.9375 - F1: 0.9365
sub_19:Test (Best Model) - Loss: 0.6857 - Accuracy: 0.8750 - F1: 0.8667
sub_20:Test (Best Model) - Loss: 0.4369 - Accuracy: 0.8125 - F1: 0.8000
sub_21:Test (Best Model) - Loss: 1.6217 - Accuracy: 0.8438 - F1: 0.8359
sub_19:Test (Best Model) - Loss: 1.0328 - Accuracy: 0.8750 - F1: 0.8667
sub_21:Test (Best Model) - Loss: 0.6746 - Accuracy: 0.5938 - F1: 0.5733
sub_20:Test (Best Model) - Loss: 0.2447 - Accuracy: 0.9062 - F1: 0.9015
sub_21:Test (Best Model) - Loss: 0.9676 - Accuracy: 0.5312 - F1: 0.5077
sub_20:Test (Best Model) - Loss: 0.1322 - Accuracy: 0.9091 - F1: 0.9077
sub_19:Test (Best Model) - Loss: 5.6500 - Accuracy: 0.8750 - F1: 0.8667
sub_21:Test (Best Model) - Loss: 1.1007 - Accuracy: 0.4688 - F1: 0.4640
sub_21:Test (Best Model) - Loss: 0.7192 - Accuracy: 0.5625 - F1: 0.5466
sub_19:Test (Best Model) - Loss: 1.1936 - Accuracy: 0.8750 - F1: 0.8667
sub_20:Test (Best Model) - Loss: 0.1138 - Accuracy: 0.9394 - F1: 0.9380
sub_21:Test (Best Model) - Loss: 0.8164 - Accuracy: 0.5625 - F1: 0.5466
sub_19:Test (Best Model) - Loss: 1.4994 - Accuracy: 0.8750 - F1: 0.8667
sub_20:Test (Best Model) - Loss: 0.1269 - Accuracy: 0.9394 - F1: 0.9380
sub_20:Test (Best Model) - Loss: 0.2591 - Accuracy: 0.8788 - F1: 0.8731
sub_20:Test (Best Model) - Loss: 0.3386 - Accuracy: 0.8485 - F1: 0.8390
sub_23:Test (Best Model) - Loss: 0.3350 - Accuracy: 0.9697 - F1: 0.9692
sub_24:Test (Best Model) - Loss: 0.1423 - Accuracy: 0.9375 - F1: 0.9352
sub_22:Test (Best Model) - Loss: 0.3275 - Accuracy: 0.8750 - F1: 0.8667
sub_24:Test (Best Model) - Loss: 0.1915 - Accuracy: 0.9375 - F1: 0.9352
sub_23:Test (Best Model) - Loss: 0.2888 - Accuracy: 0.9697 - F1: 0.9692
sub_22:Test (Best Model) - Loss: 0.3701 - Accuracy: 0.8750 - F1: 0.8667
sub_24:Test (Best Model) - Loss: 0.2421 - Accuracy: 0.9375 - F1: 0.9352
sub_22:Test (Best Model) - Loss: 0.3365 - Accuracy: 0.8750 - F1: 0.8667
sub_24:Test (Best Model) - Loss: 0.1728 - Accuracy: 0.9375 - F1: 0.9352
sub_23:Test (Best Model) - Loss: 0.2813 - Accuracy: 0.9394 - F1: 0.9389
sub_22:Test (Best Model) - Loss: 0.4530 - Accuracy: 0.8125 - F1: 0.7922
sub_23:Test (Best Model) - Loss: 0.5056 - Accuracy: 0.7576 - F1: 0.7273
sub_24:Test (Best Model) - Loss: 0.1828 - Accuracy: 0.9375 - F1: 0.9352
sub_22:Test (Best Model) - Loss: 1.1471 - Accuracy: 0.8750 - F1: 0.8667
sub_23:Test (Best Model) - Loss: 0.3209 - Accuracy: 0.9697 - F1: 0.9692
sub_24:Test (Best Model) - Loss: 0.3061 - Accuracy: 0.8750 - F1: 0.8745
sub_22:Test (Best Model) - Loss: 0.6628 - Accuracy: 0.6061 - F1: 0.5815
sub_24:Test (Best Model) - Loss: 0.3884 - Accuracy: 0.7812 - F1: 0.7810
sub_23:Test (Best Model) - Loss: 0.5077 - Accuracy: 0.5938 - F1: 0.5589
sub_24:Test (Best Model) - Loss: 0.3797 - Accuracy: 0.9062 - F1: 0.9039
sub_22:Test (Best Model) - Loss: 0.6060 - Accuracy: 0.5758 - F1: 0.5558
sub_23:Test (Best Model) - Loss: 0.4910 - Accuracy: 0.6562 - F1: 0.6390
sub_22:Test (Best Model) - Loss: 0.6163 - Accuracy: 0.5758 - F1: 0.5558
sub_24:Test (Best Model) - Loss: 0.3461 - Accuracy: 0.9062 - F1: 0.9054
sub_23:Test (Best Model) - Loss: 0.4826 - Accuracy: 0.6562 - F1: 0.6390
sub_23:Test (Best Model) - Loss: 0.5106 - Accuracy: 0.5625 - F1: 0.5333
sub_24:Test (Best Model) - Loss: 0.2590 - Accuracy: 0.9375 - F1: 0.9365
sub_22:Test (Best Model) - Loss: 0.5858 - Accuracy: 0.6061 - F1: 0.5815
sub_23:Test (Best Model) - Loss: 0.4284 - Accuracy: 0.7812 - F1: 0.7793
sub_22:Test (Best Model) - Loss: 0.5820 - Accuracy: 0.5758 - F1: 0.5558
sub_24:Test (Best Model) - Loss: 0.2382 - Accuracy: 0.9375 - F1: 0.9352
sub_23:Test (Best Model) - Loss: 0.6509 - Accuracy: 0.7576 - F1: 0.7273
sub_22:Test (Best Model) - Loss: 0.1176 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.2466 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.8554 - Accuracy: 0.7879 - F1: 0.7664
sub_22:Test (Best Model) - Loss: 0.1593 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.2284 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.8689 - Accuracy: 0.7273 - F1: 0.6857
sub_22:Test (Best Model) - Loss: 0.1582 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.1831 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.6874 - Accuracy: 0.7576 - F1: 0.7273
sub_22:Test (Best Model) - Loss: 0.1982 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.1526 - Accuracy: 0.9688 - F1: 0.9680
sub_24:Test (Best Model) - Loss: 0.2133 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 4.0615 - Accuracy: 0.6970 - F1: 0.6413
sub_26:Test (Best Model) - Loss: 0.3327 - Accuracy: 0.8182 - F1: 0.8167
sub_25:Test (Best Model) - Loss: 1.2379 - Accuracy: 0.8788 - F1: 0.8731
sub_26:Test (Best Model) - Loss: 0.3030 - Accuracy: 0.8485 - F1: 0.8479
sub_25:Test (Best Model) - Loss: 0.6551 - Accuracy: 0.8788 - F1: 0.8731
sub_27:Test (Best Model) - Loss: 0.0690 - Accuracy: 0.9697 - F1: 0.9692
sub_26:Test (Best Model) - Loss: 0.3562 - Accuracy: 0.7879 - F1: 0.7847
sub_25:Test (Best Model) - Loss: 0.7222 - Accuracy: 0.8788 - F1: 0.8731
sub_27:Test (Best Model) - Loss: 0.1671 - Accuracy: 0.9697 - F1: 0.9692
sub_26:Test (Best Model) - Loss: 0.2603 - Accuracy: 0.8485 - F1: 0.8479
sub_25:Test (Best Model) - Loss: 0.7994 - Accuracy: 0.8788 - F1: 0.8731
sub_26:Test (Best Model) - Loss: 0.2648 - Accuracy: 0.8182 - F1: 0.8167
sub_27:Test (Best Model) - Loss: 0.1333 - Accuracy: 0.9697 - F1: 0.9692
sub_25:Test (Best Model) - Loss: 0.5911 - Accuracy: 0.8788 - F1: 0.8731
sub_26:Test (Best Model) - Loss: 0.2571 - Accuracy: 0.9062 - F1: 0.9062
sub_25:Test (Best Model) - Loss: 0.3501 - Accuracy: 0.9688 - F1: 0.9685
sub_27:Test (Best Model) - Loss: 0.3491 - Accuracy: 0.9091 - F1: 0.9060
sub_26:Test (Best Model) - Loss: 0.3304 - Accuracy: 0.9375 - F1: 0.9373
sub_27:Test (Best Model) - Loss: 0.0072 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0770 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.3217 - Accuracy: 0.9062 - F1: 0.9062
sub_27:Test (Best Model) - Loss: 0.3059 - Accuracy: 0.9091 - F1: 0.9091
sub_26:Test (Best Model) - Loss: 0.3157 - Accuracy: 0.9062 - F1: 0.9062
sub_25:Test (Best Model) - Loss: 0.1027 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.4438 - Accuracy: 0.8182 - F1: 0.8167
sub_25:Test (Best Model) - Loss: 0.2312 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.4028 - Accuracy: 0.8182 - F1: 0.8180
sub_25:Test (Best Model) - Loss: 0.1852 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.1703 - Accuracy: 0.9688 - F1: 0.9685
sub_27:Test (Best Model) - Loss: 0.2909 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.3163 - Accuracy: 0.9697 - F1: 0.9696
sub_25:Test (Best Model) - Loss: 1.2443 - Accuracy: 0.9062 - F1: 0.9015
sub_26:Test (Best Model) - Loss: 0.2242 - Accuracy: 0.9375 - F1: 0.9352
sub_27:Test (Best Model) - Loss: 1.0250 - Accuracy: 0.8125 - F1: 0.8057
sub_26:Test (Best Model) - Loss: 0.2075 - Accuracy: 0.9375 - F1: 0.9352
sub_25:Test (Best Model) - Loss: 0.3399 - Accuracy: 0.8750 - F1: 0.8667
sub_27:Test (Best Model) - Loss: 0.9758 - Accuracy: 0.8125 - F1: 0.8057
sub_26:Test (Best Model) - Loss: 0.1665 - Accuracy: 0.9375 - F1: 0.9352
sub_25:Test (Best Model) - Loss: 0.4125 - Accuracy: 0.8750 - F1: 0.8667
sub_27:Test (Best Model) - Loss: 1.6372 - Accuracy: 0.8125 - F1: 0.8057
sub_26:Test (Best Model) - Loss: 0.3004 - Accuracy: 0.9375 - F1: 0.9352
sub_25:Test (Best Model) - Loss: 0.2945 - Accuracy: 0.9062 - F1: 0.9015
sub_27:Test (Best Model) - Loss: 1.1389 - Accuracy: 0.8438 - F1: 0.8359
sub_25:Test (Best Model) - Loss: 0.4384 - Accuracy: 0.8438 - F1: 0.8303
sub_26:Test (Best Model) - Loss: 0.6232 - Accuracy: 0.9375 - F1: 0.9352
sub_27:Test (Best Model) - Loss: 0.8224 - Accuracy: 0.8438 - F1: 0.8359
sub_29:Test (Best Model) - Loss: 1.0034 - Accuracy: 0.9375 - F1: 0.9352
sub_28:Test (Best Model) - Loss: 0.2931 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 0.8932 - Accuracy: 0.9062 - F1: 0.9015
sub_28:Test (Best Model) - Loss: 0.3031 - Accuracy: 0.9062 - F1: 0.9015
sub_28:Test (Best Model) - Loss: 0.2973 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 1.0632 - Accuracy: 0.9375 - F1: 0.9352
sub_28:Test (Best Model) - Loss: 0.3214 - Accuracy: 0.8750 - F1: 0.8667
sub_29:Test (Best Model) - Loss: 0.9099 - Accuracy: 0.9375 - F1: 0.9352
sub_28:Test (Best Model) - Loss: 0.3332 - Accuracy: 0.8750 - F1: 0.8667
sub_29:Test (Best Model) - Loss: 2.5764 - Accuracy: 0.9062 - F1: 0.9015
sub_28:Test (Best Model) - Loss: 0.2652 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 0.0288 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.2971 - Accuracy: 0.9062 - F1: 0.9015
sub_28:Test (Best Model) - Loss: 0.3223 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 0.0031 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.3783 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 0.0170 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.3108 - Accuracy: 0.8750 - F1: 0.8667
sub_28:Test (Best Model) - Loss: 1.3141 - Accuracy: 0.7812 - F1: 0.7625
sub_29:Test (Best Model) - Loss: 0.0467 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 1.4903 - Accuracy: 0.6562 - F1: 0.6390
sub_29:Test (Best Model) - Loss: 0.0842 - Accuracy: 0.9688 - F1: 0.9680
sub_28:Test (Best Model) - Loss: 2.7254 - Accuracy: 0.7812 - F1: 0.7519
sub_28:Test (Best Model) - Loss: 1.9671 - Accuracy: 0.6875 - F1: 0.6825
sub_29:Test (Best Model) - Loss: 0.3740 - Accuracy: 0.9394 - F1: 0.9389
sub_28:Test (Best Model) - Loss: 1.3046 - Accuracy: 0.7812 - F1: 0.7519
sub_29:Test (Best Model) - Loss: 0.4479 - Accuracy: 0.9697 - F1: 0.9692
sub_29:Test (Best Model) - Loss: 0.9939 - Accuracy: 0.9394 - F1: 0.9380
sub_29:Test (Best Model) - Loss: 0.3053 - Accuracy: 0.9697 - F1: 0.9692
sub_29:Test (Best Model) - Loss: 0.3759 - Accuracy: 0.9697 - F1: 0.9692

=== Summary Results ===

acc: 88.82 ± 5.86
F1: 88.11 ± 6.40
acc-in: 91.12 ± 4.40
F1-in: 90.45 ± 4.86
runing time: 1047.21 seconds
