lr: 1e-05
sub_7:Test (Best Model) - Loss: 0.0959 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.2783 - Accuracy: 0.9062 - F1: 0.9039
sub_20:Test (Best Model) - Loss: 0.0758 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0923 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0243 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.1223 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 0.0561 - Accuracy: 0.9697 - F1: 0.9692
sub_1:Test (Best Model) - Loss: 0.0303 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0374 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0962 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.1791 - Accuracy: 0.9688 - F1: 0.9685
sub_26:Test (Best Model) - Loss: 0.0353 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.1080 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.0276 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.4675 - Accuracy: 0.6562 - F1: 0.6390
sub_27:Test (Best Model) - Loss: 0.0923 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0546 - Accuracy: 0.9688 - F1: 0.9680
sub_24:Test (Best Model) - Loss: 0.0754 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.1497 - Accuracy: 0.9697 - F1: 0.9692
sub_2:Test (Best Model) - Loss: 0.2490 - Accuracy: 0.9697 - F1: 0.9692
sub_6:Test (Best Model) - Loss: 0.2844 - Accuracy: 0.8750 - F1: 0.8730
sub_28:Test (Best Model) - Loss: 0.1742 - Accuracy: 0.9375 - F1: 0.9352
sub_19:Test (Best Model) - Loss: 0.0921 - Accuracy: 0.9375 - F1: 0.9373
sub_9:Test (Best Model) - Loss: 0.0263 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0902 - Accuracy: 0.9394 - F1: 0.9380
sub_12:Test (Best Model) - Loss: 0.1101 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0716 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.2048 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 0.0445 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0881 - Accuracy: 0.9688 - F1: 0.9680
sub_1:Test (Best Model) - Loss: 0.0394 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0149 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.1090 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.2961 - Accuracy: 0.8750 - F1: 0.8667
sub_21:Test (Best Model) - Loss: 0.2417 - Accuracy: 0.9375 - F1: 0.9352
sub_10:Test (Best Model) - Loss: 0.0993 - Accuracy: 0.9688 - F1: 0.9680
sub_15:Test (Best Model) - Loss: 0.1074 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 0.0605 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.1002 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.1015 - Accuracy: 0.9688 - F1: 0.9685
sub_26:Test (Best Model) - Loss: 0.0741 - Accuracy: 0.9697 - F1: 0.9696
sub_20:Test (Best Model) - Loss: 0.1121 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.0492 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.0680 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.1090 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.3645 - Accuracy: 0.7812 - F1: 0.7810
sub_29:Test (Best Model) - Loss: 0.0584 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.1182 - Accuracy: 0.9688 - F1: 0.9685
sub_14:Test (Best Model) - Loss: 0.5137 - Accuracy: 0.6250 - F1: 0.6000
sub_28:Test (Best Model) - Loss: 0.2029 - Accuracy: 0.9375 - F1: 0.9365
sub_5:Test (Best Model) - Loss: 0.2280 - Accuracy: 0.9375 - F1: 0.9373
sub_2:Test (Best Model) - Loss: 0.2579 - Accuracy: 0.8788 - F1: 0.8778
sub_24:Test (Best Model) - Loss: 0.1338 - Accuracy: 0.9688 - F1: 0.9685
sub_9:Test (Best Model) - Loss: 0.0837 - Accuracy: 0.9688 - F1: 0.9680
sub_3:Test (Best Model) - Loss: 0.1457 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.1113 - Accuracy: 0.9697 - F1: 0.9692
sub_11:Test (Best Model) - Loss: 0.0592 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0513 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.3377 - Accuracy: 0.9375 - F1: 0.9365
sub_15:Test (Best Model) - Loss: 0.2005 - Accuracy: 0.9375 - F1: 0.9352
sub_7:Test (Best Model) - Loss: 0.0191 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.2684 - Accuracy: 0.9062 - F1: 0.9062
sub_26:Test (Best Model) - Loss: 0.1188 - Accuracy: 0.9697 - F1: 0.9696
sub_10:Test (Best Model) - Loss: 0.0698 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.1019 - Accuracy: 0.9394 - F1: 0.9380
sub_29:Test (Best Model) - Loss: 0.1145 - Accuracy: 0.9688 - F1: 0.9680
sub_22:Test (Best Model) - Loss: 0.1966 - Accuracy: 0.9062 - F1: 0.9015
sub_19:Test (Best Model) - Loss: 0.1349 - Accuracy: 0.9375 - F1: 0.9373
sub_18:Test (Best Model) - Loss: 0.0051 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0212 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.3204 - Accuracy: 0.8438 - F1: 0.8436
sub_28:Test (Best Model) - Loss: 0.0965 - Accuracy: 0.9688 - F1: 0.9680
sub_5:Test (Best Model) - Loss: 0.1553 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.2574 - Accuracy: 0.9697 - F1: 0.9692
sub_20:Test (Best Model) - Loss: 0.1617 - Accuracy: 0.9375 - F1: 0.9365
sub_9:Test (Best Model) - Loss: 0.0525 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0427 - Accuracy: 0.9697 - F1: 0.9692
sub_21:Test (Best Model) - Loss: 0.1244 - Accuracy: 0.9375 - F1: 0.9352
sub_27:Test (Best Model) - Loss: 0.0212 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0443 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.0580 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0523 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 0.8434 - Accuracy: 0.4375 - F1: 0.3043
sub_6:Test (Best Model) - Loss: 0.2122 - Accuracy: 0.9062 - F1: 0.9062
sub_11:Test (Best Model) - Loss: 0.2164 - Accuracy: 0.9697 - F1: 0.9696
sub_1:Test (Best Model) - Loss: 0.0114 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0730 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.0483 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.8743 - Accuracy: 0.4375 - F1: 0.3043
sub_7:Test (Best Model) - Loss: 0.0214 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.0769 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.0588 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0735 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0162 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.2621 - Accuracy: 0.9375 - F1: 0.9352
sub_26:Test (Best Model) - Loss: 0.0083 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0825 - Accuracy: 0.9688 - F1: 0.9680
sub_27:Test (Best Model) - Loss: 0.0735 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.0584 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0403 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.1461 - Accuracy: 0.9688 - F1: 0.9680
sub_22:Test (Best Model) - Loss: 0.0938 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 0.0583 - Accuracy: 0.9697 - F1: 0.9692
sub_9:Test (Best Model) - Loss: 0.0494 - Accuracy: 0.9688 - F1: 0.9680
sub_5:Test (Best Model) - Loss: 0.1320 - Accuracy: 0.9688 - F1: 0.9680
sub_15:Test (Best Model) - Loss: 0.0549 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.1056 - Accuracy: 0.9688 - F1: 0.9685
sub_21:Test (Best Model) - Loss: 0.2518 - Accuracy: 0.9062 - F1: 0.9015
sub_25:Test (Best Model) - Loss: 0.0836 - Accuracy: 0.9697 - F1: 0.9692
sub_28:Test (Best Model) - Loss: 0.1427 - Accuracy: 0.9375 - F1: 0.9352
sub_14:Test (Best Model) - Loss: 0.3437 - Accuracy: 0.8125 - F1: 0.8118
sub_6:Test (Best Model) - Loss: 0.5405 - Accuracy: 0.6562 - F1: 0.6476
sub_24:Test (Best Model) - Loss: 0.0445 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0247 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0539 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.1874 - Accuracy: 0.9394 - F1: 0.9380
sub_2:Test (Best Model) - Loss: 0.2318 - Accuracy: 0.9091 - F1: 0.9060
sub_3:Test (Best Model) - Loss: 0.0375 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.3358 - Accuracy: 0.8750 - F1: 0.8750
sub_17:Test (Best Model) - Loss: 0.0616 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.1253 - Accuracy: 0.9688 - F1: 0.9680
sub_22:Test (Best Model) - Loss: 0.2902 - Accuracy: 0.9062 - F1: 0.9015
sub_7:Test (Best Model) - Loss: 0.0827 - Accuracy: 0.9688 - F1: 0.9680
sub_16:Test (Best Model) - Loss: 0.1551 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0466 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0794 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.0616 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.1326 - Accuracy: 0.9688 - F1: 0.9680
sub_15:Test (Best Model) - Loss: 0.0244 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.1805 - Accuracy: 0.9688 - F1: 0.9680
sub_20:Test (Best Model) - Loss: 0.1376 - Accuracy: 0.9688 - F1: 0.9685
sub_4:Test (Best Model) - Loss: 0.0698 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.1351 - Accuracy: 0.9697 - F1: 0.9692
sub_28:Test (Best Model) - Loss: 0.3846 - Accuracy: 0.8750 - F1: 0.8730
sub_5:Test (Best Model) - Loss: 0.1504 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 0.5420 - Accuracy: 0.6875 - F1: 0.6761
sub_1:Test (Best Model) - Loss: 0.0223 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.1737 - Accuracy: 0.9375 - F1: 0.9352
sub_14:Test (Best Model) - Loss: 0.5174 - Accuracy: 0.6250 - F1: 0.6000
sub_17:Test (Best Model) - Loss: 0.4605 - Accuracy: 0.7273 - F1: 0.7179
sub_25:Test (Best Model) - Loss: 0.2523 - Accuracy: 0.8182 - F1: 0.8036
sub_6:Test (Best Model) - Loss: 0.3836 - Accuracy: 0.8438 - F1: 0.8424
sub_12:Test (Best Model) - Loss: 0.1885 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.1484 - Accuracy: 0.9688 - F1: 0.9685
sub_9:Test (Best Model) - Loss: 0.1737 - Accuracy: 0.9375 - F1: 0.9352
sub_27:Test (Best Model) - Loss: 0.4605 - Accuracy: 0.7273 - F1: 0.7179
sub_18:Test (Best Model) - Loss: 0.1617 - Accuracy: 0.9375 - F1: 0.9373
sub_19:Test (Best Model) - Loss: 0.0404 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.0172 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.1015 - Accuracy: 0.9688 - F1: 0.9685
sub_29:Test (Best Model) - Loss: 0.0273 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.1239 - Accuracy: 0.9688 - F1: 0.9680
sub_28:Test (Best Model) - Loss: 0.0839 - Accuracy: 0.9688 - F1: 0.9685
sub_26:Test (Best Model) - Loss: 0.0399 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.3216 - Accuracy: 0.8788 - F1: 0.8731
sub_7:Test (Best Model) - Loss: 0.0353 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0753 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.1264 - Accuracy: 0.9697 - F1: 0.9692
sub_16:Test (Best Model) - Loss: 0.0693 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0737 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0986 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0648 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.2350 - Accuracy: 0.9091 - F1: 0.9060
sub_8:Test (Best Model) - Loss: 0.2185 - Accuracy: 0.9062 - F1: 0.9062
sub_11:Test (Best Model) - Loss: 0.3993 - Accuracy: 0.8182 - F1: 0.8167
sub_4:Test (Best Model) - Loss: 0.0239 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.0968 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0447 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.1018 - Accuracy: 0.9697 - F1: 0.9696
sub_13:Test (Best Model) - Loss: 0.3029 - Accuracy: 0.9375 - F1: 0.9373
sub_17:Test (Best Model) - Loss: 0.2063 - Accuracy: 0.9394 - F1: 0.9393
sub_6:Test (Best Model) - Loss: 0.1855 - Accuracy: 0.9394 - F1: 0.9380
sub_23:Test (Best Model) - Loss: 0.5432 - Accuracy: 0.6875 - F1: 0.6761
sub_19:Test (Best Model) - Loss: 0.1216 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.1351 - Accuracy: 0.9375 - F1: 0.9352
sub_3:Test (Best Model) - Loss: 0.3248 - Accuracy: 0.8485 - F1: 0.8479
sub_18:Test (Best Model) - Loss: 0.1050 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.2063 - Accuracy: 0.9394 - F1: 0.9393
sub_28:Test (Best Model) - Loss: 0.1215 - Accuracy: 0.9688 - F1: 0.9680
sub_15:Test (Best Model) - Loss: 0.0218 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.0914 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0314 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0679 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.0396 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.2177 - Accuracy: 0.9697 - F1: 0.9696
sub_20:Test (Best Model) - Loss: 0.2002 - Accuracy: 0.9375 - F1: 0.9365
sub_10:Test (Best Model) - Loss: 0.1594 - Accuracy: 0.9375 - F1: 0.9352
sub_26:Test (Best Model) - Loss: 0.0075 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.1300 - Accuracy: 0.9697 - F1: 0.9692
sub_1:Test (Best Model) - Loss: 0.0510 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0884 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0331 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.2213 - Accuracy: 0.9091 - F1: 0.9077
sub_13:Test (Best Model) - Loss: 0.5833 - Accuracy: 0.6364 - F1: 0.6071
sub_21:Test (Best Model) - Loss: 0.1068 - Accuracy: 0.9688 - F1: 0.9685
sub_16:Test (Best Model) - Loss: 0.5406 - Accuracy: 0.6562 - F1: 0.6390
sub_12:Test (Best Model) - Loss: 0.2082 - Accuracy: 0.9394 - F1: 0.9380
sub_8:Test (Best Model) - Loss: 0.0859 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0656 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0167 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.0519 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.1300 - Accuracy: 0.9697 - F1: 0.9692
sub_6:Test (Best Model) - Loss: 0.2586 - Accuracy: 0.8788 - F1: 0.8731
sub_19:Test (Best Model) - Loss: 0.0763 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0676 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.0735 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.2325 - Accuracy: 0.9062 - F1: 0.9015
sub_18:Test (Best Model) - Loss: 0.1019 - Accuracy: 0.9375 - F1: 0.9352
sub_15:Test (Best Model) - Loss: 0.0064 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.0804 - Accuracy: 0.9688 - F1: 0.9685
sub_3:Test (Best Model) - Loss: 0.1534 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0825 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.1558 - Accuracy: 0.9394 - F1: 0.9393
sub_17:Test (Best Model) - Loss: 0.1494 - Accuracy: 0.9697 - F1: 0.9696
sub_11:Test (Best Model) - Loss: 0.1445 - Accuracy: 0.9697 - F1: 0.9692
sub_25:Test (Best Model) - Loss: 0.0324 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.2932 - Accuracy: 0.8788 - F1: 0.8731
sub_7:Test (Best Model) - Loss: 0.0275 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0918 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0500 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 0.1165 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.0797 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.2627 - Accuracy: 0.8750 - F1: 0.8667
sub_22:Test (Best Model) - Loss: 0.1957 - Accuracy: 0.9394 - F1: 0.9380
sub_13:Test (Best Model) - Loss: 0.4416 - Accuracy: 0.7879 - F1: 0.7847
sub_23:Test (Best Model) - Loss: 0.5425 - Accuracy: 0.6250 - F1: 0.6000
sub_21:Test (Best Model) - Loss: 0.0879 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.2229 - Accuracy: 0.9688 - F1: 0.9685
sub_14:Test (Best Model) - Loss: 0.1154 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0496 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.0682 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0305 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.0259 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.1494 - Accuracy: 0.9697 - F1: 0.9696
sub_6:Test (Best Model) - Loss: 0.1994 - Accuracy: 0.9697 - F1: 0.9692
sub_25:Test (Best Model) - Loss: 0.2361 - Accuracy: 0.9375 - F1: 0.9373
sub_9:Test (Best Model) - Loss: 0.1437 - Accuracy: 0.9375 - F1: 0.9352
sub_18:Test (Best Model) - Loss: 0.0398 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0189 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0774 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.1233 - Accuracy: 0.9394 - F1: 0.9380
sub_17:Test (Best Model) - Loss: 0.1104 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.1437 - Accuracy: 0.9394 - F1: 0.9380
sub_24:Test (Best Model) - Loss: 0.0773 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.3401 - Accuracy: 0.9091 - F1: 0.9060
sub_10:Test (Best Model) - Loss: 0.0921 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0307 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.1384 - Accuracy: 0.9697 - F1: 0.9696
sub_16:Test (Best Model) - Loss: 0.1068 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.1566 - Accuracy: 0.9062 - F1: 0.9015
sub_26:Test (Best Model) - Loss: 0.0254 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0326 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0847 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.4902 - Accuracy: 0.7273 - F1: 0.7263
sub_13:Test (Best Model) - Loss: 0.2862 - Accuracy: 0.9091 - F1: 0.9088
sub_8:Test (Best Model) - Loss: 0.0991 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.1237 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.1340 - Accuracy: 0.9688 - F1: 0.9680
sub_2:Test (Best Model) - Loss: 0.0639 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.0809 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.0418 - Accuracy: 0.9688 - F1: 0.9680
sub_18:Test (Best Model) - Loss: 0.1623 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.1104 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.2292 - Accuracy: 0.9062 - F1: 0.9015
sub_6:Test (Best Model) - Loss: 0.1059 - Accuracy: 0.9697 - F1: 0.9692
sub_29:Test (Best Model) - Loss: 0.0264 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0171 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0096 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.2398 - Accuracy: 0.8788 - F1: 0.8731
sub_17:Test (Best Model) - Loss: 0.1365 - Accuracy: 0.9375 - F1: 0.9352
sub_7:Test (Best Model) - Loss: 0.0436 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0956 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.1536 - Accuracy: 0.9688 - F1: 0.9680
sub_3:Test (Best Model) - Loss: 0.4177 - Accuracy: 0.7576 - F1: 0.7519
sub_1:Test (Best Model) - Loss: 0.0136 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0629 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.0664 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.2855 - Accuracy: 0.9375 - F1: 0.9373
sub_11:Test (Best Model) - Loss: 0.3233 - Accuracy: 0.8485 - F1: 0.8479
sub_28:Test (Best Model) - Loss: 0.3695 - Accuracy: 0.7812 - F1: 0.7519
sub_22:Test (Best Model) - Loss: 0.2305 - Accuracy: 0.9091 - F1: 0.9060
sub_14:Test (Best Model) - Loss: 0.0547 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0108 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.0918 - Accuracy: 0.9688 - F1: 0.9685
sub_23:Test (Best Model) - Loss: 0.2532 - Accuracy: 0.9091 - F1: 0.9060
sub_13:Test (Best Model) - Loss: 0.1628 - Accuracy: 0.9697 - F1: 0.9696
sub_4:Test (Best Model) - Loss: 0.0533 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.0964 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0105 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0410 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.1925 - Accuracy: 0.9062 - F1: 0.9015
sub_20:Test (Best Model) - Loss: 0.4031 - Accuracy: 0.9091 - F1: 0.9060
sub_27:Test (Best Model) - Loss: 0.1365 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 0.0228 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.1792 - Accuracy: 0.9091 - F1: 0.9060
sub_3:Test (Best Model) - Loss: 0.0645 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0327 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0290 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.1571 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0467 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0355 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.1130 - Accuracy: 0.9375 - F1: 0.9352
sub_12:Test (Best Model) - Loss: 0.0450 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0345 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.0756 - Accuracy: 0.9697 - F1: 0.9696
sub_28:Test (Best Model) - Loss: 0.4201 - Accuracy: 0.7812 - F1: 0.7810
sub_10:Test (Best Model) - Loss: 0.0705 - Accuracy: 0.9697 - F1: 0.9692
sub_16:Test (Best Model) - Loss: 0.1197 - Accuracy: 0.9375 - F1: 0.9352
sub_24:Test (Best Model) - Loss: 0.0552 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.1276 - Accuracy: 0.9688 - F1: 0.9680
sub_9:Test (Best Model) - Loss: 0.0280 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0122 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.1004 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0348 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.2285 - Accuracy: 0.9697 - F1: 0.9692
sub_23:Test (Best Model) - Loss: 0.3295 - Accuracy: 0.8485 - F1: 0.8485
sub_21:Test (Best Model) - Loss: 0.4184 - Accuracy: 0.7500 - F1: 0.7460
sub_18:Test (Best Model) - Loss: 0.0285 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.0467 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.2344 - Accuracy: 0.8438 - F1: 0.8424
sub_20:Test (Best Model) - Loss: 0.1724 - Accuracy: 0.9091 - F1: 0.9060
sub_1:Test (Best Model) - Loss: 0.0059 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0421 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0324 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0061 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.0288 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.1769 - Accuracy: 0.9375 - F1: 0.9352
sub_2:Test (Best Model) - Loss: 0.0189 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0878 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.1941 - Accuracy: 0.9375 - F1: 0.9373
sub_5:Test (Best Model) - Loss: 0.0913 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.0688 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.2436 - Accuracy: 0.8438 - F1: 0.8303
sub_25:Test (Best Model) - Loss: 0.0396 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.2187 - Accuracy: 0.9688 - F1: 0.9680
sub_18:Test (Best Model) - Loss: 0.0156 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.0481 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0663 - Accuracy: 0.9375 - F1: 0.9352
sub_16:Test (Best Model) - Loss: 0.0621 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.0720 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.1012 - Accuracy: 0.9394 - F1: 0.9380
sub_9:Test (Best Model) - Loss: 0.0324 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0912 - Accuracy: 0.9688 - F1: 0.9680
sub_22:Test (Best Model) - Loss: 0.0625 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.3236 - Accuracy: 0.8788 - F1: 0.8731
sub_19:Test (Best Model) - Loss: 0.1738 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 0.0953 - Accuracy: 0.9697 - F1: 0.9692
sub_21:Test (Best Model) - Loss: 0.2036 - Accuracy: 0.9688 - F1: 0.9685
sub_13:Test (Best Model) - Loss: 0.3426 - Accuracy: 0.8438 - F1: 0.8424
sub_15:Test (Best Model) - Loss: 0.0145 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.6063 - Accuracy: 0.8788 - F1: 0.8731
sub_5:Test (Best Model) - Loss: 0.0748 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0045 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.1401 - Accuracy: 0.9062 - F1: 0.9015
sub_3:Test (Best Model) - Loss: 0.1566 - Accuracy: 0.9697 - F1: 0.9692
sub_6:Test (Best Model) - Loss: 0.0666 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0937 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.4642 - Accuracy: 0.7812 - F1: 0.7519
sub_10:Test (Best Model) - Loss: 0.1161 - Accuracy: 0.9697 - F1: 0.9692
sub_27:Test (Best Model) - Loss: 0.0663 - Accuracy: 0.9375 - F1: 0.9352
sub_24:Test (Best Model) - Loss: 0.0948 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.1281 - Accuracy: 0.9394 - F1: 0.9380
sub_16:Test (Best Model) - Loss: 0.2803 - Accuracy: 0.8438 - F1: 0.8303
sub_18:Test (Best Model) - Loss: 0.0137 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.2115 - Accuracy: 0.8788 - F1: 0.8731
sub_12:Test (Best Model) - Loss: 0.0482 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0609 - Accuracy: 0.9688 - F1: 0.9680
sub_25:Test (Best Model) - Loss: 0.0220 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0403 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0184 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.0445 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.4290 - Accuracy: 0.7812 - F1: 0.7793
sub_8:Test (Best Model) - Loss: 0.2136 - Accuracy: 0.9375 - F1: 0.9352
sub_19:Test (Best Model) - Loss: 0.3689 - Accuracy: 0.8438 - F1: 0.8398
sub_29:Test (Best Model) - Loss: 0.0296 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.3121 - Accuracy: 0.8438 - F1: 0.8436
sub_23:Test (Best Model) - Loss: 0.2048 - Accuracy: 0.9394 - F1: 0.9380
sub_15:Test (Best Model) - Loss: 0.0266 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0191 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.5179 - Accuracy: 0.7188 - F1: 0.7163
sub_3:Test (Best Model) - Loss: 0.0644 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0614 - Accuracy: 0.9688 - F1: 0.9680
sub_7:Test (Best Model) - Loss: 0.1145 - Accuracy: 0.9688 - F1: 0.9685
sub_14:Test (Best Model) - Loss: 0.1369 - Accuracy: 0.9688 - F1: 0.9680
sub_6:Test (Best Model) - Loss: 0.0367 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0059 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.0609 - Accuracy: 0.9688 - F1: 0.9680
sub_11:Test (Best Model) - Loss: 0.1938 - Accuracy: 0.9697 - F1: 0.9696
sub_9:Test (Best Model) - Loss: 0.1131 - Accuracy: 0.9375 - F1: 0.9352
sub_24:Test (Best Model) - Loss: 0.0592 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.1099 - Accuracy: 0.9697 - F1: 0.9692
sub_10:Test (Best Model) - Loss: 0.0741 - Accuracy: 0.9697 - F1: 0.9692
sub_16:Test (Best Model) - Loss: 0.1902 - Accuracy: 0.9062 - F1: 0.9015
sub_12:Test (Best Model) - Loss: 0.1080 - Accuracy: 0.9375 - F1: 0.9352
sub_18:Test (Best Model) - Loss: 0.0071 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.4349 - Accuracy: 0.9091 - F1: 0.9060
sub_4:Test (Best Model) - Loss: 0.0674 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.8253 - Accuracy: 0.4688 - F1: 0.3637
sub_19:Test (Best Model) - Loss: 0.4245 - Accuracy: 0.9062 - F1: 0.9015
sub_25:Test (Best Model) - Loss: 0.0149 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0796 - Accuracy: 0.9688 - F1: 0.9680
sub_17:Test (Best Model) - Loss: 0.1282 - Accuracy: 0.9375 - F1: 0.9352
sub_13:Test (Best Model) - Loss: 0.3267 - Accuracy: 0.8750 - F1: 0.8667
sub_22:Test (Best Model) - Loss: 0.0799 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0330 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.1886 - Accuracy: 0.9688 - F1: 0.9685
sub_11:Test (Best Model) - Loss: 0.0746 - Accuracy: 0.9697 - F1: 0.9692
sub_23:Test (Best Model) - Loss: 0.5690 - Accuracy: 0.8788 - F1: 0.8731
sub_7:Test (Best Model) - Loss: 0.1282 - Accuracy: 0.9688 - F1: 0.9685
sub_14:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.8750 - F1: 0.8667
sub_6:Test (Best Model) - Loss: 0.0377 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0179 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.1417 - Accuracy: 0.9375 - F1: 0.9352
sub_5:Test (Best Model) - Loss: 0.0295 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.1282 - Accuracy: 0.9375 - F1: 0.9352
sub_4:Test (Best Model) - Loss: 0.0388 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.3696 - Accuracy: 0.8788 - F1: 0.8731
sub_24:Test (Best Model) - Loss: 0.0192 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.1061 - Accuracy: 0.9697 - F1: 0.9692
sub_25:Test (Best Model) - Loss: 0.0310 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.2260 - Accuracy: 0.8182 - F1: 0.8096
sub_3:Test (Best Model) - Loss: 0.0777 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.0317 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.1904 - Accuracy: 0.9062 - F1: 0.9015
sub_21:Test (Best Model) - Loss: 0.1584 - Accuracy: 0.9688 - F1: 0.9685
sub_22:Test (Best Model) - Loss: 0.0756 - Accuracy: 0.9688 - F1: 0.9680
sub_28:Test (Best Model) - Loss: 0.1697 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.2467 - Accuracy: 0.9394 - F1: 0.9393
sub_11:Test (Best Model) - Loss: 0.3354 - Accuracy: 0.7879 - F1: 0.7847
sub_8:Test (Best Model) - Loss: 0.1002 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 0.1324 - Accuracy: 0.9688 - F1: 0.9680
sub_24:Test (Best Model) - Loss: 0.0454 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.1454 - Accuracy: 0.9394 - F1: 0.9380
sub_13:Test (Best Model) - Loss: 0.2931 - Accuracy: 0.8750 - F1: 0.8730
sub_2:Test (Best Model) - Loss: 0.3161 - Accuracy: 0.8182 - F1: 0.8036

=== Summary Results ===

acc: 95.07 ± 3.98
F1: 94.84 ± 4.33
acc-in: 98.00 ± 1.88
F1-in: 97.86 ± 2.06
