lr: 1e-05
sub_1:Test (Best Model) - Loss: 0.0346 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.3259 - Accuracy: 0.8750 - F1: 0.8730
sub_7:Test (Best Model) - Loss: 0.1919 - Accuracy: 0.9375 - F1: 0.9373
sub_8:Test (Best Model) - Loss: 0.0930 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.1761 - Accuracy: 0.9375 - F1: 0.9373
sub_23:Test (Best Model) - Loss: 0.0474 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0345 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.1439 - Accuracy: 0.9688 - F1: 0.9680
sub_16:Test (Best Model) - Loss: 0.2085 - Accuracy: 0.9375 - F1: 0.9365
sub_18:Test (Best Model) - Loss: 0.0984 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.4263 - Accuracy: 0.8125 - F1: 0.8125
sub_3:Test (Best Model) - Loss: 0.1978 - Accuracy: 0.9688 - F1: 0.9680
sub_20:Test (Best Model) - Loss: 0.1089 - Accuracy: 0.9688 - F1: 0.9680
sub_26:Test (Best Model) - Loss: 0.0670 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0650 - Accuracy: 0.9697 - F1: 0.9692
sub_22:Test (Best Model) - Loss: 0.1289 - Accuracy: 0.9375 - F1: 0.9352
sub_11:Test (Best Model) - Loss: 0.1514 - Accuracy: 0.9697 - F1: 0.9692
sub_27:Test (Best Model) - Loss: 0.1024 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.2086 - Accuracy: 0.9062 - F1: 0.9054
sub_2:Test (Best Model) - Loss: 0.4793 - Accuracy: 0.7273 - F1: 0.7273
sub_29:Test (Best Model) - Loss: 0.0777 - Accuracy: 0.9375 - F1: 0.9352
sub_25:Test (Best Model) - Loss: 0.1077 - Accuracy: 0.9394 - F1: 0.9380
sub_5:Test (Best Model) - Loss: 0.0725 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.1024 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.1511 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 0.0600 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.1524 - Accuracy: 0.9375 - F1: 0.9352
sub_19:Test (Best Model) - Loss: 0.0946 - Accuracy: 0.9375 - F1: 0.9373
sub_7:Test (Best Model) - Loss: 0.1181 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0695 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.1153 - Accuracy: 0.9688 - F1: 0.9685
sub_9:Test (Best Model) - Loss: 0.0432 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.1778 - Accuracy: 0.9375 - F1: 0.9373
sub_23:Test (Best Model) - Loss: 0.1690 - Accuracy: 0.9697 - F1: 0.9696
sub_18:Test (Best Model) - Loss: 0.0280 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0886 - Accuracy: 0.9688 - F1: 0.9680
sub_21:Test (Best Model) - Loss: 0.2056 - Accuracy: 0.9062 - F1: 0.9015
sub_10:Test (Best Model) - Loss: 0.0878 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.1204 - Accuracy: 0.9688 - F1: 0.9680
sub_16:Test (Best Model) - Loss: 0.1138 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.2260 - Accuracy: 0.9688 - F1: 0.9680
sub_22:Test (Best Model) - Loss: 0.2528 - Accuracy: 0.8750 - F1: 0.8667
sub_6:Test (Best Model) - Loss: 0.4422 - Accuracy: 0.8125 - F1: 0.8118
sub_26:Test (Best Model) - Loss: 0.0882 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0425 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.4544 - Accuracy: 0.9062 - F1: 0.9054
sub_25:Test (Best Model) - Loss: 0.1716 - Accuracy: 0.9091 - F1: 0.9088
sub_20:Test (Best Model) - Loss: 0.1047 - Accuracy: 0.9688 - F1: 0.9680
sub_27:Test (Best Model) - Loss: 0.1053 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.1435 - Accuracy: 0.9688 - F1: 0.9685
sub_11:Test (Best Model) - Loss: 0.1537 - Accuracy: 0.9394 - F1: 0.9389
sub_29:Test (Best Model) - Loss: 0.0473 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.3428 - Accuracy: 0.8788 - F1: 0.8778
sub_17:Test (Best Model) - Loss: 0.1053 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.2112 - Accuracy: 0.9375 - F1: 0.9373
sub_28:Test (Best Model) - Loss: 0.1781 - Accuracy: 0.9688 - F1: 0.9680
sub_10:Test (Best Model) - Loss: 0.1072 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.3421 - Accuracy: 0.8438 - F1: 0.8436
sub_15:Test (Best Model) - Loss: 0.2406 - Accuracy: 0.9375 - F1: 0.9352
sub_1:Test (Best Model) - Loss: 0.0386 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0271 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.2335 - Accuracy: 0.8750 - F1: 0.8667
sub_9:Test (Best Model) - Loss: 0.1358 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.1504 - Accuracy: 0.9091 - F1: 0.9060
sub_25:Test (Best Model) - Loss: 0.0799 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.1272 - Accuracy: 0.9697 - F1: 0.9696
sub_18:Test (Best Model) - Loss: 0.0684 - Accuracy: 0.9697 - F1: 0.9696
sub_24:Test (Best Model) - Loss: 0.1045 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 0.2200 - Accuracy: 0.9062 - F1: 0.9054
sub_16:Test (Best Model) - Loss: 0.2602 - Accuracy: 0.8750 - F1: 0.8750
sub_29:Test (Best Model) - Loss: 0.1933 - Accuracy: 0.9375 - F1: 0.9352
sub_20:Test (Best Model) - Loss: 0.1439 - Accuracy: 0.9688 - F1: 0.9685
sub_12:Test (Best Model) - Loss: 0.0631 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.1062 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.0851 - Accuracy: 0.9697 - F1: 0.9696
sub_21:Test (Best Model) - Loss: 0.2248 - Accuracy: 0.8750 - F1: 0.8667
sub_3:Test (Best Model) - Loss: 0.1176 - Accuracy: 0.9688 - F1: 0.9680
sub_6:Test (Best Model) - Loss: 0.2552 - Accuracy: 0.9062 - F1: 0.9054
sub_28:Test (Best Model) - Loss: 0.1916 - Accuracy: 0.9688 - F1: 0.9685
sub_14:Test (Best Model) - Loss: 0.5330 - Accuracy: 0.7812 - F1: 0.7793
sub_17:Test (Best Model) - Loss: 0.0851 - Accuracy: 0.9697 - F1: 0.9696
sub_4:Test (Best Model) - Loss: 0.0651 - Accuracy: 0.9697 - F1: 0.9692
sub_11:Test (Best Model) - Loss: 0.1974 - Accuracy: 0.9697 - F1: 0.9696
sub_15:Test (Best Model) - Loss: 0.0766 - Accuracy: 0.9688 - F1: 0.9680
sub_19:Test (Best Model) - Loss: 0.1241 - Accuracy: 0.9375 - F1: 0.9373
sub_2:Test (Best Model) - Loss: 0.2523 - Accuracy: 0.8788 - F1: 0.8759
sub_22:Test (Best Model) - Loss: 0.1517 - Accuracy: 0.9688 - F1: 0.9680
sub_9:Test (Best Model) - Loss: 0.0814 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.1066 - Accuracy: 0.9688 - F1: 0.9680
sub_24:Test (Best Model) - Loss: 0.1874 - Accuracy: 0.9375 - F1: 0.9365
sub_8:Test (Best Model) - Loss: 0.0747 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0522 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.1524 - Accuracy: 0.9697 - F1: 0.9692
sub_1:Test (Best Model) - Loss: 0.0194 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.2664 - Accuracy: 0.9062 - F1: 0.9015
sub_23:Test (Best Model) - Loss: 0.0893 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0253 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.1669 - Accuracy: 0.8750 - F1: 0.8667
sub_13:Test (Best Model) - Loss: 0.8998 - Accuracy: 0.4375 - F1: 0.3043
sub_25:Test (Best Model) - Loss: 0.0989 - Accuracy: 0.9697 - F1: 0.9692
sub_16:Test (Best Model) - Loss: 0.0950 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0152 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.1524 - Accuracy: 0.9697 - F1: 0.9692
sub_19:Test (Best Model) - Loss: 0.1112 - Accuracy: 0.9688 - F1: 0.9680
sub_5:Test (Best Model) - Loss: 0.1339 - Accuracy: 0.9375 - F1: 0.9352
sub_28:Test (Best Model) - Loss: 0.1541 - Accuracy: 0.9688 - F1: 0.9680
sub_11:Test (Best Model) - Loss: 0.1844 - Accuracy: 0.9394 - F1: 0.9380
sub_3:Test (Best Model) - Loss: 0.0409 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.3703 - Accuracy: 0.7812 - F1: 0.7793
sub_12:Test (Best Model) - Loss: 0.0937 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0783 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0619 - Accuracy: 0.9697 - F1: 0.9692
sub_14:Test (Best Model) - Loss: 0.3069 - Accuracy: 0.9375 - F1: 0.9365
sub_21:Test (Best Model) - Loss: 0.1851 - Accuracy: 0.8750 - F1: 0.8667
sub_22:Test (Best Model) - Loss: 0.3239 - Accuracy: 0.9062 - F1: 0.9015
sub_9:Test (Best Model) - Loss: 0.0365 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.3107 - Accuracy: 0.8485 - F1: 0.8390
sub_10:Test (Best Model) - Loss: 0.1297 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.9091 - F1: 0.9060
sub_8:Test (Best Model) - Loss: 0.3269 - Accuracy: 0.8438 - F1: 0.8436
sub_7:Test (Best Model) - Loss: 0.0939 - Accuracy: 0.9688 - F1: 0.9680
sub_1:Test (Best Model) - Loss: 0.0506 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0852 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.2425 - Accuracy: 0.9062 - F1: 0.9015
sub_18:Test (Best Model) - Loss: 0.1040 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.0879 - Accuracy: 0.9688 - F1: 0.9685
sub_13:Test (Best Model) - Loss: 0.0985 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.3478 - Accuracy: 0.8438 - F1: 0.8398
sub_5:Test (Best Model) - Loss: 0.1829 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0279 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.1256 - Accuracy: 0.9688 - F1: 0.9685
sub_27:Test (Best Model) - Loss: 0.0987 - Accuracy: 0.9697 - F1: 0.9692
sub_6:Test (Best Model) - Loss: 0.3682 - Accuracy: 0.8438 - F1: 0.8398
sub_19:Test (Best Model) - Loss: 0.1922 - Accuracy: 0.9375 - F1: 0.9373
sub_14:Test (Best Model) - Loss: 0.4425 - Accuracy: 0.9062 - F1: 0.9062
sub_11:Test (Best Model) - Loss: 0.3684 - Accuracy: 0.8182 - F1: 0.8167
sub_3:Test (Best Model) - Loss: 0.0808 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.1870 - Accuracy: 0.9375 - F1: 0.9352
sub_22:Test (Best Model) - Loss: 0.1138 - Accuracy: 0.9697 - F1: 0.9692
sub_17:Test (Best Model) - Loss: 0.0987 - Accuracy: 0.9697 - F1: 0.9692
sub_4:Test (Best Model) - Loss: 0.0671 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.3392 - Accuracy: 0.8485 - F1: 0.8479
sub_10:Test (Best Model) - Loss: 0.4194 - Accuracy: 0.9062 - F1: 0.9015
sub_25:Test (Best Model) - Loss: 0.1758 - Accuracy: 0.9394 - F1: 0.9380
sub_9:Test (Best Model) - Loss: 0.1645 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.2932 - Accuracy: 0.9062 - F1: 0.9062
sub_7:Test (Best Model) - Loss: 0.0587 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.1945 - Accuracy: 0.9375 - F1: 0.9365
sub_1:Test (Best Model) - Loss: 0.0556 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.5835 - Accuracy: 0.6562 - F1: 0.6390
sub_21:Test (Best Model) - Loss: 0.2310 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 0.0249 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.1994 - Accuracy: 0.8750 - F1: 0.8667
sub_26:Test (Best Model) - Loss: 0.1093 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.1928 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0468 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.0365 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.2802 - Accuracy: 0.9062 - F1: 0.9062
sub_11:Test (Best Model) - Loss: 0.1389 - Accuracy: 0.9697 - F1: 0.9696
sub_27:Test (Best Model) - Loss: 0.3226 - Accuracy: 0.9091 - F1: 0.9091
sub_13:Test (Best Model) - Loss: 0.1610 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.1508 - Accuracy: 0.9688 - F1: 0.9680
sub_24:Test (Best Model) - Loss: 0.1185 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0669 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.3226 - Accuracy: 0.9091 - F1: 0.9091
sub_3:Test (Best Model) - Loss: 0.1187 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0235 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.1322 - Accuracy: 0.9697 - F1: 0.9692
sub_15:Test (Best Model) - Loss: 0.0824 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.1068 - Accuracy: 0.9688 - F1: 0.9685
sub_16:Test (Best Model) - Loss: 0.0856 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.4374 - Accuracy: 0.7500 - F1: 0.7091
sub_22:Test (Best Model) - Loss: 0.1343 - Accuracy: 0.9394 - F1: 0.9380
sub_7:Test (Best Model) - Loss: 0.0613 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.4525 - Accuracy: 0.7500 - F1: 0.7460
sub_19:Test (Best Model) - Loss: 0.0159 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.3554 - Accuracy: 0.9062 - F1: 0.9062
sub_21:Test (Best Model) - Loss: 0.1157 - Accuracy: 0.9688 - F1: 0.9680
sub_29:Test (Best Model) - Loss: 0.0328 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.9375 - F1: 0.9365
sub_12:Test (Best Model) - Loss: 0.1944 - Accuracy: 0.9091 - F1: 0.9060
sub_1:Test (Best Model) - Loss: 0.1335 - Accuracy: 0.9697 - F1: 0.9696
sub_18:Test (Best Model) - Loss: 0.1140 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0738 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0463 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.2126 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.1226 - Accuracy: 0.9688 - F1: 0.9680
sub_27:Test (Best Model) - Loss: 0.1956 - Accuracy: 0.9091 - F1: 0.9091
sub_11:Test (Best Model) - Loss: 0.1145 - Accuracy: 0.9697 - F1: 0.9692
sub_3:Test (Best Model) - Loss: 0.1501 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.1153 - Accuracy: 0.9375 - F1: 0.9352
sub_17:Test (Best Model) - Loss: 0.1956 - Accuracy: 0.9091 - F1: 0.9091
sub_14:Test (Best Model) - Loss: 0.2117 - Accuracy: 0.9062 - F1: 0.9054
sub_13:Test (Best Model) - Loss: 0.1773 - Accuracy: 0.9697 - F1: 0.9696
sub_25:Test (Best Model) - Loss: 0.0497 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.2403 - Accuracy: 0.9394 - F1: 0.9389
sub_2:Test (Best Model) - Loss: 0.1013 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.1167 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0258 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.1855 - Accuracy: 0.9091 - F1: 0.9060
sub_24:Test (Best Model) - Loss: 0.1231 - Accuracy: 0.9688 - F1: 0.9685
sub_19:Test (Best Model) - Loss: 0.1296 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0640 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.2013 - Accuracy: 0.9062 - F1: 0.9062
sub_10:Test (Best Model) - Loss: 0.3941 - Accuracy: 0.8750 - F1: 0.8667
sub_7:Test (Best Model) - Loss: 0.0950 - Accuracy: 0.9688 - F1: 0.9680
sub_29:Test (Best Model) - Loss: 0.0473 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0520 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.0459 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0525 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.1481 - Accuracy: 0.9091 - F1: 0.9060
sub_18:Test (Best Model) - Loss: 0.0685 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.8996 - Accuracy: 0.5312 - F1: 0.4684
sub_15:Test (Best Model) - Loss: 0.0109 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0417 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.1723 - Accuracy: 0.9688 - F1: 0.9680
sub_25:Test (Best Model) - Loss: 0.0596 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.1181 - Accuracy: 0.9697 - F1: 0.9692
sub_9:Test (Best Model) - Loss: 0.1414 - Accuracy: 0.9375 - F1: 0.9352
sub_17:Test (Best Model) - Loss: 0.1181 - Accuracy: 0.9697 - F1: 0.9692
sub_14:Test (Best Model) - Loss: 0.1670 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.1326 - Accuracy: 0.9688 - F1: 0.9685
sub_3:Test (Best Model) - Loss: 0.1331 - Accuracy: 0.9394 - F1: 0.9380
sub_11:Test (Best Model) - Loss: 0.1453 - Accuracy: 0.9697 - F1: 0.9692
sub_1:Test (Best Model) - Loss: 0.2727 - Accuracy: 0.8182 - F1: 0.8167
sub_13:Test (Best Model) - Loss: 0.3612 - Accuracy: 0.8182 - F1: 0.8167
sub_6:Test (Best Model) - Loss: 0.1625 - Accuracy: 0.9394 - F1: 0.9380
sub_24:Test (Best Model) - Loss: 0.0916 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0962 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0805 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.1113 - Accuracy: 0.9375 - F1: 0.9352
sub_12:Test (Best Model) - Loss: 0.1772 - Accuracy: 0.9091 - F1: 0.9060
sub_22:Test (Best Model) - Loss: 0.5164 - Accuracy: 0.7576 - F1: 0.7574
sub_7:Test (Best Model) - Loss: 0.0518 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.0566 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.2132 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.5321 - Accuracy: 0.6875 - F1: 0.6761
sub_5:Test (Best Model) - Loss: 0.0584 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.2591 - Accuracy: 0.9688 - F1: 0.9685
sub_25:Test (Best Model) - Loss: 0.2719 - Accuracy: 0.8750 - F1: 0.8750
sub_26:Test (Best Model) - Loss: 0.0487 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.2621 - Accuracy: 0.8438 - F1: 0.8436
sub_28:Test (Best Model) - Loss: 0.1843 - Accuracy: 0.9062 - F1: 0.9015
sub_15:Test (Best Model) - Loss: 0.0326 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0650 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.1541 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.1594 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.1594 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.1457 - Accuracy: 0.9375 - F1: 0.9352
sub_20:Test (Best Model) - Loss: 0.2099 - Accuracy: 0.9062 - F1: 0.9015
sub_14:Test (Best Model) - Loss: 0.1046 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.2078 - Accuracy: 0.8788 - F1: 0.8787
sub_3:Test (Best Model) - Loss: 0.1527 - Accuracy: 0.9091 - F1: 0.9091
sub_1:Test (Best Model) - Loss: 0.1024 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0915 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.2469 - Accuracy: 0.9394 - F1: 0.9389
sub_6:Test (Best Model) - Loss: 0.0882 - Accuracy: 0.9697 - F1: 0.9692
sub_19:Test (Best Model) - Loss: 0.0376 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.0846 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.3070 - Accuracy: 0.8788 - F1: 0.8731
sub_7:Test (Best Model) - Loss: 0.1153 - Accuracy: 0.9375 - F1: 0.9352
sub_12:Test (Best Model) - Loss: 0.3085 - Accuracy: 0.9091 - F1: 0.9060
sub_24:Test (Best Model) - Loss: 0.0665 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.4481 - Accuracy: 0.8125 - F1: 0.7922
sub_21:Test (Best Model) - Loss: 0.1052 - Accuracy: 0.9688 - F1: 0.9680
sub_5:Test (Best Model) - Loss: 0.0789 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.1075 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.1757 - Accuracy: 0.9062 - F1: 0.9054
sub_29:Test (Best Model) - Loss: 0.0417 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.1294 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0448 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.3332 - Accuracy: 0.7812 - F1: 0.7519
sub_15:Test (Best Model) - Loss: 0.0281 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.1747 - Accuracy: 0.9062 - F1: 0.9015
sub_16:Test (Best Model) - Loss: 0.2043 - Accuracy: 0.9688 - F1: 0.9680
sub_3:Test (Best Model) - Loss: 0.0739 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.0502 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0935 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.4837 - Accuracy: 0.9091 - F1: 0.9060
sub_27:Test (Best Model) - Loss: 0.0524 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.1411 - Accuracy: 0.9375 - F1: 0.9352
sub_13:Test (Best Model) - Loss: 0.1153 - Accuracy: 0.9697 - F1: 0.9696
sub_1:Test (Best Model) - Loss: 0.0190 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.0833 - Accuracy: 0.9688 - F1: 0.9680
sub_17:Test (Best Model) - Loss: 0.0524 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.1701 - Accuracy: 0.9394 - F1: 0.9380
sub_5:Test (Best Model) - Loss: 0.0464 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0971 - Accuracy: 0.9697 - F1: 0.9696
sub_9:Test (Best Model) - Loss: 0.0339 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.1727 - Accuracy: 0.9375 - F1: 0.9352
sub_7:Test (Best Model) - Loss: 0.1198 - Accuracy: 0.9688 - F1: 0.9680
sub_12:Test (Best Model) - Loss: 0.1995 - Accuracy: 0.9091 - F1: 0.9060
sub_24:Test (Best Model) - Loss: 0.0613 - Accuracy: 0.9688 - F1: 0.9680
sub_10:Test (Best Model) - Loss: 0.1316 - Accuracy: 0.9394 - F1: 0.9380
sub_29:Test (Best Model) - Loss: 0.0309 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.0243 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.3757 - Accuracy: 0.8788 - F1: 0.8731
sub_21:Test (Best Model) - Loss: 0.1154 - Accuracy: 0.9375 - F1: 0.9365
sub_26:Test (Best Model) - Loss: 0.0584 - Accuracy: 0.9688 - F1: 0.9680
sub_28:Test (Best Model) - Loss: 0.5684 - Accuracy: 0.7188 - F1: 0.7185
sub_15:Test (Best Model) - Loss: 0.0450 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0523 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.3643 - Accuracy: 0.8438 - F1: 0.8436
sub_25:Test (Best Model) - Loss: 0.1615 - Accuracy: 0.9375 - F1: 0.9352
sub_11:Test (Best Model) - Loss: 0.0780 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.1066 - Accuracy: 0.9394 - F1: 0.9380
sub_18:Test (Best Model) - Loss: 0.0125 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.1720 - Accuracy: 0.9091 - F1: 0.9060
sub_27:Test (Best Model) - Loss: 0.1397 - Accuracy: 0.9375 - F1: 0.9352
sub_1:Test (Best Model) - Loss: 0.0307 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.2963 - Accuracy: 0.9375 - F1: 0.9352
sub_13:Test (Best Model) - Loss: 0.1389 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0293 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.1397 - Accuracy: 0.9375 - F1: 0.9352
sub_5:Test (Best Model) - Loss: 0.0524 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.0989 - Accuracy: 0.9688 - F1: 0.9680
sub_9:Test (Best Model) - Loss: 0.0333 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.0381 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0690 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.1134 - Accuracy: 0.9697 - F1: 0.9692
sub_7:Test (Best Model) - Loss: 0.1923 - Accuracy: 0.9062 - F1: 0.9062
sub_12:Test (Best Model) - Loss: 0.0980 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.0275 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0909 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.2653 - Accuracy: 0.9091 - F1: 0.9077
sub_15:Test (Best Model) - Loss: 0.0309 - Accuracy: 0.9688 - F1: 0.9680
sub_26:Test (Best Model) - Loss: 0.1872 - Accuracy: 0.9062 - F1: 0.9054
sub_28:Test (Best Model) - Loss: 0.2036 - Accuracy: 0.9688 - F1: 0.9680
sub_25:Test (Best Model) - Loss: 0.0606 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.5013 - Accuracy: 0.6562 - F1: 0.6390
sub_8:Test (Best Model) - Loss: 0.1222 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.2232 - Accuracy: 0.9091 - F1: 0.9060
sub_18:Test (Best Model) - Loss: 0.0327 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.1093 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.1732 - Accuracy: 0.9091 - F1: 0.9060
sub_27:Test (Best Model) - Loss: 0.0769 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.1790 - Accuracy: 0.9697 - F1: 0.9692
sub_5:Test (Best Model) - Loss: 0.0721 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.2683 - Accuracy: 0.8438 - F1: 0.8303
sub_1:Test (Best Model) - Loss: 0.0079 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.4440 - Accuracy: 0.9091 - F1: 0.9060
sub_13:Test (Best Model) - Loss: 0.2694 - Accuracy: 0.9375 - F1: 0.9352
sub_17:Test (Best Model) - Loss: 0.0769 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.3165 - Accuracy: 0.9062 - F1: 0.9015
sub_24:Test (Best Model) - Loss: 0.0846 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.1855 - Accuracy: 0.9375 - F1: 0.9365
sub_4:Test (Best Model) - Loss: 0.0593 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0425 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0433 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.0852 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.2398 - Accuracy: 0.8750 - F1: 0.8667
sub_22:Test (Best Model) - Loss: 0.0625 - Accuracy: 0.9688 - F1: 0.9680
sub_12:Test (Best Model) - Loss: 0.1277 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0931 - Accuracy: 0.9688 - F1: 0.9680
sub_10:Test (Best Model) - Loss: 0.1406 - Accuracy: 0.9394 - F1: 0.9380
sub_23:Test (Best Model) - Loss: 0.2399 - Accuracy: 0.9091 - F1: 0.9060
sub_18:Test (Best Model) - Loss: 0.0261 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.6197 - Accuracy: 0.5625 - F1: 0.5152
sub_25:Test (Best Model) - Loss: 0.0824 - Accuracy: 0.9375 - F1: 0.9352
sub_8:Test (Best Model) - Loss: 0.2600 - Accuracy: 0.9062 - F1: 0.9015
sub_2:Test (Best Model) - Loss: 0.0822 - Accuracy: 0.9697 - F1: 0.9692
sub_11:Test (Best Model) - Loss: 0.3447 - Accuracy: 0.8485 - F1: 0.8479
sub_21:Test (Best Model) - Loss: 0.2833 - Accuracy: 0.8750 - F1: 0.8750
sub_3:Test (Best Model) - Loss: 0.0928 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0583 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.0379 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0084 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0254 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.0529 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.1872 - Accuracy: 0.9688 - F1: 0.9680
sub_12:Test (Best Model) - Loss: 0.1193 - Accuracy: 0.9375 - F1: 0.9352
sub_15:Test (Best Model) - Loss: 0.0545 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0693 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.1249 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 0.0405 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.1117 - Accuracy: 0.9688 - F1: 0.9680
sub_17:Test (Best Model) - Loss: 0.0379 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.4169 - Accuracy: 0.7500 - F1: 0.7490
sub_14:Test (Best Model) - Loss: 0.1949 - Accuracy: 0.9062 - F1: 0.9015
sub_18:Test (Best Model) - Loss: 0.0250 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0527 - Accuracy: 0.9688 - F1: 0.9680
sub_6:Test (Best Model) - Loss: 0.1048 - Accuracy: 0.9697 - F1: 0.9692
sub_28:Test (Best Model) - Loss: 0.2217 - Accuracy: 0.9375 - F1: 0.9352
sub_10:Test (Best Model) - Loss: 0.1112 - Accuracy: 0.9394 - F1: 0.9389
sub_2:Test (Best Model) - Loss: 0.2440 - Accuracy: 0.8485 - F1: 0.8390
sub_22:Test (Best Model) - Loss: 0.0514 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.2684 - Accuracy: 0.8485 - F1: 0.8462
sub_20:Test (Best Model) - Loss: 0.4819 - Accuracy: 0.9091 - F1: 0.9060
sub_21:Test (Best Model) - Loss: 1.2355 - Accuracy: 0.4375 - F1: 0.3455
sub_3:Test (Best Model) - Loss: 0.0801 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0335 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0733 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0191 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.0842 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.2014 - Accuracy: 0.9062 - F1: 0.9015
sub_27:Test (Best Model) - Loss: 0.0620 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0935 - Accuracy: 0.9688 - F1: 0.9680
sub_19:Test (Best Model) - Loss: 0.4927 - Accuracy: 0.8750 - F1: 0.8667
sub_24:Test (Best Model) - Loss: 0.0205 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.3660 - Accuracy: 0.8125 - F1: 0.8000
sub_4:Test (Best Model) - Loss: 0.0694 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.5350 - Accuracy: 0.8438 - F1: 0.8303
sub_17:Test (Best Model) - Loss: 0.0620 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.0818 - Accuracy: 0.9688 - F1: 0.9680
sub_7:Test (Best Model) - Loss: 0.1495 - Accuracy: 0.9688 - F1: 0.9685
sub_9:Test (Best Model) - Loss: 0.1370 - Accuracy: 0.9062 - F1: 0.9015
sub_14:Test (Best Model) - Loss: 0.1284 - Accuracy: 0.9375 - F1: 0.9352
sub_26:Test (Best Model) - Loss: 0.1546 - Accuracy: 0.9375 - F1: 0.9352
sub_10:Test (Best Model) - Loss: 0.1556 - Accuracy: 0.9394 - F1: 0.9380
sub_18:Test (Best Model) - Loss: 0.0095 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.1438 - Accuracy: 0.9394 - F1: 0.9380
sub_2:Test (Best Model) - Loss: 0.2165 - Accuracy: 0.8788 - F1: 0.8731
sub_6:Test (Best Model) - Loss: 0.0370 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.3436 - Accuracy: 0.8750 - F1: 0.8750
sub_21:Test (Best Model) - Loss: 0.4420 - Accuracy: 0.7500 - F1: 0.7460
sub_23:Test (Best Model) - Loss: 0.5944 - Accuracy: 0.8485 - F1: 0.8390
sub_20:Test (Best Model) - Loss: 0.3641 - Accuracy: 0.8485 - F1: 0.8390
sub_22:Test (Best Model) - Loss: 0.1178 - Accuracy: 0.9375 - F1: 0.9352
sub_11:Test (Best Model) - Loss: 0.4372 - Accuracy: 0.7879 - F1: 0.7847
sub_25:Test (Best Model) - Loss: 0.0531 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.3868 - Accuracy: 0.8750 - F1: 0.8704
sub_27:Test (Best Model) - Loss: 0.0982 - Accuracy: 0.9688 - F1: 0.9680
sub_24:Test (Best Model) - Loss: 0.0719 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 0.0725 - Accuracy: 0.9688 - F1: 0.9680
sub_17:Test (Best Model) - Loss: 0.0982 - Accuracy: 0.9688 - F1: 0.9680
sub_16:Test (Best Model) - Loss: 0.1765 - Accuracy: 0.9375 - F1: 0.9352
sub_12:Test (Best Model) - Loss: 0.0479 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.2455 - Accuracy: 0.8750 - F1: 0.8667
sub_21:Test (Best Model) - Loss: 0.2337 - Accuracy: 0.9375 - F1: 0.9373
sub_14:Test (Best Model) - Loss: 0.1258 - Accuracy: 0.9688 - F1: 0.9680
sub_2:Test (Best Model) - Loss: 0.3530 - Accuracy: 0.8182 - F1: 0.8036
sub_4:Test (Best Model) - Loss: 0.0663 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.2376 - Accuracy: 0.8788 - F1: 0.8787
sub_13:Test (Best Model) - Loss: 0.3042 - Accuracy: 0.8750 - F1: 0.8704
sub_16:Test (Best Model) - Loss: 0.1599 - Accuracy: 0.9062 - F1: 0.9015

=== Summary Results ===

acc: 94.63 ± 3.66
F1: 94.40 ± 3.90
acc-in: 97.89 ± 1.86
F1-in: 97.74 ± 2.12
