lr: 0.0001
sub_28:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.0004 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.2836 - Accuracy: 0.9375 - F1: 0.9373
sub_16:Test (Best Model) - Loss: 0.0013 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.3208 - Accuracy: 0.9375 - F1: 0.9373
sub_24:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.3541 - Accuracy: 0.9375 - F1: 0.9352
sub_27:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0004 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.0030 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.4681 - Accuracy: 0.9062 - F1: 0.9062
sub_19:Test (Best Model) - Loss: 0.4970 - Accuracy: 0.9375 - F1: 0.9373
sub_25:Test (Best Model) - Loss: 0.0016 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.0173 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0024 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0598 - Accuracy: 0.9688 - F1: 0.9685
sub_26:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.0200 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.0074 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.0010 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.0030 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 1.0853 - Accuracy: 0.7812 - F1: 0.7793
sub_13:Test (Best Model) - Loss: 0.2059 - Accuracy: 0.9375 - F1: 0.9373
sub_24:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.2511 - Accuracy: 0.9688 - F1: 0.9680
sub_27:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.2707 - Accuracy: 0.9375 - F1: 0.9373
sub_8:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.0888 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0028 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0762 - Accuracy: 0.9688 - F1: 0.9685
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.0804 - Accuracy: 0.9394 - F1: 0.9393
sub_19:Test (Best Model) - Loss: 0.1347 - Accuracy: 0.9688 - F1: 0.9685
sub_29:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0724 - Accuracy: 0.9688 - F1: 0.9685
sub_13:Test (Best Model) - Loss: 0.3726 - Accuracy: 0.8750 - F1: 0.8750
sub_16:Test (Best Model) - Loss: 0.0110 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.2084 - Accuracy: 0.9688 - F1: 0.9680
sub_27:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.0006 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.4301 - Accuracy: 0.9062 - F1: 0.9062
sub_23:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.0016 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.8426 - Accuracy: 0.8125 - F1: 0.8118
sub_4:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.0020 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.0133 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0004 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0011 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.3189 - Accuracy: 0.9375 - F1: 0.9373
sub_14:Test (Best Model) - Loss: 0.5242 - Accuracy: 0.7188 - F1: 0.7117
sub_29:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.9394 - F1: 0.9393
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.2076 - Accuracy: 0.9688 - F1: 0.9680
sub_27:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.2189 - Accuracy: 0.9375 - F1: 0.9373
sub_16:Test (Best Model) - Loss: 0.0720 - Accuracy: 0.9688 - F1: 0.9685
sub_24:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0068 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.0004 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.2156 - Accuracy: 0.9375 - F1: 0.9352
sub_4:Test (Best Model) - Loss: 0.0015 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0011 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0018 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.4474 - Accuracy: 0.8750 - F1: 0.8750
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.2707 - Accuracy: 0.9688 - F1: 0.9680
sub_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.0019 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.1885 - Accuracy: 0.9688 - F1: 0.9680
sub_20:Test (Best Model) - Loss: 0.3517 - Accuracy: 0.9062 - F1: 0.9054
sub_22:Test (Best Model) - Loss: 0.9813 - Accuracy: 0.5938 - F1: 0.5589
sub_14:Test (Best Model) - Loss: 0.1864 - Accuracy: 0.9375 - F1: 0.9373
sub_27:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.0093 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0023 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.1206 - Accuracy: 0.9697 - F1: 0.9692
sub_26:Test (Best Model) - Loss: 0.0070 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.0015 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.0940 - Accuracy: 0.9394 - F1: 0.9393
sub_5:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.1657 - Accuracy: 0.9697 - F1: 0.9692
sub_17:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0298 - Accuracy: 0.9697 - F1: 0.9692
sub_8:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.2576 - Accuracy: 0.9375 - F1: 0.9373
sub_9:Test (Best Model) - Loss: 0.0377 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 0.0035 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.7109 - Accuracy: 0.9062 - F1: 0.9015
sub_28:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.5888 - Accuracy: 0.9062 - F1: 0.9015
sub_20:Test (Best Model) - Loss: 0.2614 - Accuracy: 0.9375 - F1: 0.9365
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.0107 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0249 - Accuracy: 0.9688 - F1: 0.9685
sub_24:Test (Best Model) - Loss: 0.0046 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.0202 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.0111 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.0873 - Accuracy: 0.9697 - F1: 0.9696
sub_11:Test (Best Model) - Loss: 0.0222 - Accuracy: 0.9697 - F1: 0.9692
sub_6:Test (Best Model) - Loss: 0.3311 - Accuracy: 0.9375 - F1: 0.9373
sub_12:Test (Best Model) - Loss: 0.1894 - Accuracy: 0.9697 - F1: 0.9692
sub_5:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0006 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0873 - Accuracy: 0.9697 - F1: 0.9696
sub_18:Test (Best Model) - Loss: 0.0055 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0323 - Accuracy: 0.9697 - F1: 0.9692
sub_14:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.1406 - Accuracy: 0.9688 - F1: 0.9680
sub_26:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.7642 - Accuracy: 0.7879 - F1: 0.7847
sub_28:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.0139 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.0388 - Accuracy: 0.9688 - F1: 0.9685
sub_2:Test (Best Model) - Loss: 0.0216 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.0043 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.0616 - Accuracy: 0.9688 - F1: 0.9685
sub_23:Test (Best Model) - Loss: 0.0456 - Accuracy: 0.9688 - F1: 0.9685
sub_6:Test (Best Model) - Loss: 0.0151 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0501 - Accuracy: 0.9688 - F1: 0.9685
sub_16:Test (Best Model) - Loss: 0.8999 - Accuracy: 0.7500 - F1: 0.7460
sub_27:Test (Best Model) - Loss: 0.3188 - Accuracy: 0.9394 - F1: 0.9393
sub_12:Test (Best Model) - Loss: 0.2056 - Accuracy: 0.9697 - F1: 0.9692
sub_8:Test (Best Model) - Loss: 0.0007 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0007 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0157 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.3188 - Accuracy: 0.9394 - F1: 0.9393
sub_4:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0039 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.1595 - Accuracy: 0.9688 - F1: 0.9680
sub_22:Test (Best Model) - Loss: 1.0681 - Accuracy: 0.7879 - F1: 0.7847
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.0326 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.0806 - Accuracy: 0.9375 - F1: 0.9373
sub_20:Test (Best Model) - Loss: 0.0052 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.0004 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0348 - Accuracy: 0.9688 - F1: 0.9685
sub_21:Test (Best Model) - Loss: 0.0668 - Accuracy: 0.9688 - F1: 0.9685
sub_27:Test (Best Model) - Loss: 0.0858 - Accuracy: 0.9697 - F1: 0.9696
sub_11:Test (Best Model) - Loss: 0.1116 - Accuracy: 0.9697 - F1: 0.9696
sub_12:Test (Best Model) - Loss: 0.3400 - Accuracy: 0.9091 - F1: 0.9060
sub_16:Test (Best Model) - Loss: 0.0795 - Accuracy: 0.9688 - F1: 0.9685
sub_6:Test (Best Model) - Loss: 0.0587 - Accuracy: 0.9697 - F1: 0.9692
sub_8:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0010 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0858 - Accuracy: 0.9697 - F1: 0.9696
sub_25:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0040 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0004 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0454 - Accuracy: 0.9688 - F1: 0.9680
sub_22:Test (Best Model) - Loss: 0.5563 - Accuracy: 0.8485 - F1: 0.8479
sub_24:Test (Best Model) - Loss: 0.0491 - Accuracy: 0.9688 - F1: 0.9685
sub_1:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.1246 - Accuracy: 0.9688 - F1: 0.9685
sub_13:Test (Best Model) - Loss: 0.0006 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.0068 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.0827 - Accuracy: 0.9688 - F1: 0.9685
sub_10:Test (Best Model) - Loss: 0.0021 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.0053 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.0006 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.0067 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.0010 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.1039 - Accuracy: 0.9697 - F1: 0.9696
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.4282 - Accuracy: 0.9091 - F1: 0.9060
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0006 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.3784 - Accuracy: 0.8788 - F1: 0.8787
sub_2:Test (Best Model) - Loss: 0.0009 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.0130 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.0004 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.1232 - Accuracy: 0.9697 - F1: 0.9692
sub_9:Test (Best Model) - Loss: 0.7511 - Accuracy: 0.9375 - F1: 0.9352
sub_27:Test (Best Model) - Loss: 0.0091 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.0194 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.0807 - Accuracy: 0.9697 - F1: 0.9696
sub_11:Test (Best Model) - Loss: 0.1182 - Accuracy: 0.9697 - F1: 0.9696
sub_5:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0189 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0004 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.2916 - Accuracy: 0.9062 - F1: 0.9015
sub_17:Test (Best Model) - Loss: 0.0091 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.4357 - Accuracy: 0.9394 - F1: 0.9380
sub_28:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0078 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.0009 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.0508 - Accuracy: 0.9688 - F1: 0.9685
sub_24:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.4411 - Accuracy: 0.9091 - F1: 0.9060
sub_20:Test (Best Model) - Loss: 0.0923 - Accuracy: 0.9688 - F1: 0.9680
sub_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.1270 - Accuracy: 0.9375 - F1: 0.9373
sub_13:Test (Best Model) - Loss: 0.2247 - Accuracy: 0.9688 - F1: 0.9680
sub_27:Test (Best Model) - Loss: 0.2281 - Accuracy: 0.9375 - F1: 0.9352
sub_16:Test (Best Model) - Loss: 1.0538 - Accuracy: 0.8438 - F1: 0.8303
sub_9:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.1065 - Accuracy: 0.9688 - F1: 0.9680
sub_11:Test (Best Model) - Loss: 0.1232 - Accuracy: 0.9697 - F1: 0.9696
sub_4:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.1667 - Accuracy: 0.9697 - F1: 0.9692
sub_25:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.5670 - Accuracy: 0.9062 - F1: 0.9015
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.2281 - Accuracy: 0.9375 - F1: 0.9352
sub_2:Test (Best Model) - Loss: 0.0052 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.2573 - Accuracy: 0.9394 - F1: 0.9380
sub_28:Test (Best Model) - Loss: 0.4629 - Accuracy: 0.7500 - F1: 0.7460
sub_23:Test (Best Model) - Loss: 0.0961 - Accuracy: 0.9375 - F1: 0.9373
sub_12:Test (Best Model) - Loss: 0.0009 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.8257 - Accuracy: 0.9091 - F1: 0.9060
sub_7:Test (Best Model) - Loss: 0.0252 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.0007 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0326 - Accuracy: 0.9688 - F1: 0.9680
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.0010 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.7995 - Accuracy: 0.8438 - F1: 0.8303
sub_5:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0074 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.0015 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.0393 - Accuracy: 0.9697 - F1: 0.9692
sub_19:Test (Best Model) - Loss: 0.5220 - Accuracy: 0.9062 - F1: 0.9015
sub_10:Test (Best Model) - Loss: 0.0016 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0007 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0036 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.0997 - Accuracy: 0.9688 - F1: 0.9680
sub_6:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.2906 - Accuracy: 0.9394 - F1: 0.9380
sub_24:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.8918 - Accuracy: 0.9091 - F1: 0.9060
sub_28:Test (Best Model) - Loss: 1.8180 - Accuracy: 0.4688 - F1: 0.3637
sub_14:Test (Best Model) - Loss: 0.0156 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0161 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0006 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0031 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.0129 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.6161 - Accuracy: 0.9062 - F1: 0.9015
sub_13:Test (Best Model) - Loss: 0.0993 - Accuracy: 0.9688 - F1: 0.9680
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0027 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.2708 - Accuracy: 0.9688 - F1: 0.9680
sub_26:Test (Best Model) - Loss: 0.3543 - Accuracy: 0.9688 - F1: 0.9680
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.0020 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0033 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.9580 - Accuracy: 0.9062 - F1: 0.9015
sub_22:Test (Best Model) - Loss: 0.0012 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.0064 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.0013 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0129 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.2702 - Accuracy: 0.9091 - F1: 0.9060
sub_12:Test (Best Model) - Loss: 0.0029 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.6485 - Accuracy: 0.9091 - F1: 0.9060
sub_24:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 2.3442 - Accuracy: 0.5312 - F1: 0.4684
sub_29:Test (Best Model) - Loss: 0.0010 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0029 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0371 - Accuracy: 0.9688 - F1: 0.9685
sub_16:Test (Best Model) - Loss: 0.0288 - Accuracy: 0.9688 - F1: 0.9680
sub_9:Test (Best Model) - Loss: 0.0007 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.0036 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.0153 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0511 - Accuracy: 0.9688 - F1: 0.9680
sub_11:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0010 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.2476 - Accuracy: 0.9688 - F1: 0.9680
sub_5:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.0004 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0057 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.4210 - Accuracy: 0.9062 - F1: 0.9015
sub_22:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.0039 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.3223 - Accuracy: 0.9394 - F1: 0.9380
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0036 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.3162 - Accuracy: 0.9394 - F1: 0.9380
sub_6:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 4.1758 - Accuracy: 0.4375 - F1: 0.3043
sub_14:Test (Best Model) - Loss: 0.0782 - Accuracy: 0.9688 - F1: 0.9680
sub_12:Test (Best Model) - Loss: 0.0010 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0004 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.9639 - Accuracy: 0.8438 - F1: 0.8303
sub_7:Test (Best Model) - Loss: 0.4320 - Accuracy: 0.9062 - F1: 0.9062
sub_27:Test (Best Model) - Loss: 0.0792 - Accuracy: 0.9375 - F1: 0.9352
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.0467 - Accuracy: 0.9688 - F1: 0.9680
sub_11:Test (Best Model) - Loss: 0.0007 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.3202 - Accuracy: 0.9375 - F1: 0.9352
sub_5:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.0462 - Accuracy: 0.9688 - F1: 0.9685
sub_13:Test (Best Model) - Loss: 0.1978 - Accuracy: 0.9688 - F1: 0.9680
sub_10:Test (Best Model) - Loss: 0.0893 - Accuracy: 0.9697 - F1: 0.9692
sub_19:Test (Best Model) - Loss: 0.9239 - Accuracy: 0.9062 - F1: 0.9015
sub_3:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.1703 - Accuracy: 0.9697 - F1: 0.9692
sub_17:Test (Best Model) - Loss: 0.0792 - Accuracy: 0.9375 - F1: 0.9352
sub_12:Test (Best Model) - Loss: 0.1883 - Accuracy: 0.9062 - F1: 0.9062
sub_29:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 1.9206 - Accuracy: 0.4375 - F1: 0.3043
sub_14:Test (Best Model) - Loss: 0.0223 - Accuracy: 0.9688 - F1: 0.9680
sub_6:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.1972 - Accuracy: 0.9697 - F1: 0.9692
sub_22:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.1500 - Accuracy: 0.9062 - F1: 0.9062
sub_4:Test (Best Model) - Loss: 0.0004 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.0066 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.3098 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 1.2248 - Accuracy: 0.8788 - F1: 0.8731
sub_20:Test (Best Model) - Loss: 1.0251 - Accuracy: 0.8788 - F1: 0.8731
sub_2:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.7933 - Accuracy: 0.9062 - F1: 0.9015

=== Summary Results ===

acc: 97.33 ± 3.26
F1: 97.18 ± 3.71
acc-in: 99.08 ± 1.56
F1-in: 99.04 ± 1.65
