lr: 1e-05
sub_2:Test (Best Model) - Loss: 0.6208 - Accuracy: 0.4545 - F1: 0.3125
sub_3:Test (Best Model) - Loss: 0.4802 - Accuracy: 0.9688 - F1: 0.9680
sub_1:Test (Best Model) - Loss: 0.5908 - Accuracy: 0.7812 - F1: 0.7793
sub_2:Test (Best Model) - Loss: 0.7925 - Accuracy: 0.7273 - F1: 0.7102
sub_1:Test (Best Model) - Loss: 0.5643 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.7403 - Accuracy: 0.5152 - F1: 0.5147
sub_3:Test (Best Model) - Loss: 1.0535 - Accuracy: 0.9062 - F1: 0.9015
sub_2:Test (Best Model) - Loss: 0.9920 - Accuracy: 0.6667 - F1: 0.6617
sub_1:Test (Best Model) - Loss: 0.5706 - Accuracy: 0.9688 - F1: 0.9680
sub_3:Test (Best Model) - Loss: 1.1077 - Accuracy: 0.9375 - F1: 0.9352
sub_1:Test (Best Model) - Loss: 0.5338 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.6164 - Accuracy: 0.6061 - F1: 0.5815
sub_3:Test (Best Model) - Loss: 1.7623 - Accuracy: 0.9375 - F1: 0.9352
sub_2:Test (Best Model) - Loss: 0.6984 - Accuracy: 0.4375 - F1: 0.3043
sub_1:Test (Best Model) - Loss: 0.5393 - Accuracy: 0.9375 - F1: 0.9373
sub_3:Test (Best Model) - Loss: 0.3949 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.6460 - Accuracy: 0.7273 - F1: 0.7179
sub_2:Test (Best Model) - Loss: 0.6791 - Accuracy: 0.4375 - F1: 0.3043
sub_3:Test (Best Model) - Loss: 0.5928 - Accuracy: 0.8182 - F1: 0.8167
sub_2:Test (Best Model) - Loss: 0.6781 - Accuracy: 0.5312 - F1: 0.4684
sub_1:Test (Best Model) - Loss: 0.6243 - Accuracy: 0.8182 - F1: 0.8167
sub_2:Test (Best Model) - Loss: 0.7248 - Accuracy: 0.4375 - F1: 0.3043
sub_3:Test (Best Model) - Loss: 0.5535 - Accuracy: 0.8485 - F1: 0.8479
sub_2:Test (Best Model) - Loss: 0.7242 - Accuracy: 0.4375 - F1: 0.3043
sub_1:Test (Best Model) - Loss: 0.6590 - Accuracy: 0.5758 - F1: 0.5227
sub_2:Test (Best Model) - Loss: 0.6392 - Accuracy: 0.8485 - F1: 0.8433
sub_3:Test (Best Model) - Loss: 0.5950 - Accuracy: 0.8788 - F1: 0.8759
sub_1:Test (Best Model) - Loss: 0.6446 - Accuracy: 0.5152 - F1: 0.4261
sub_2:Test (Best Model) - Loss: 0.6716 - Accuracy: 0.4545 - F1: 0.3543
sub_3:Test (Best Model) - Loss: 0.5831 - Accuracy: 0.8182 - F1: 0.8167
sub_2:Test (Best Model) - Loss: 0.6160 - Accuracy: 0.8485 - F1: 0.8479
sub_1:Test (Best Model) - Loss: 0.6063 - Accuracy: 0.5758 - F1: 0.5227
sub_3:Test (Best Model) - Loss: 0.5591 - Accuracy: 0.9394 - F1: 0.9393
sub_2:Test (Best Model) - Loss: 0.7998 - Accuracy: 0.4545 - F1: 0.3125
sub_1:Test (Best Model) - Loss: 0.5197 - Accuracy: 0.7500 - F1: 0.7091
sub_2:Test (Best Model) - Loss: 0.7245 - Accuracy: 0.6364 - F1: 0.6360
sub_1:Test (Best Model) - Loss: 0.5329 - Accuracy: 0.9688 - F1: 0.9680
sub_3:Test (Best Model) - Loss: 0.3090 - Accuracy: 0.9091 - F1: 0.9060
sub_1:Test (Best Model) - Loss: 0.5301 - Accuracy: 0.8125 - F1: 0.7922
sub_3:Test (Best Model) - Loss: 0.3953 - Accuracy: 0.9394 - F1: 0.9380
sub_1:Test (Best Model) - Loss: 0.5789 - Accuracy: 0.9688 - F1: 0.9680
sub_3:Test (Best Model) - Loss: 0.3640 - Accuracy: 0.9697 - F1: 0.9692
sub_1:Test (Best Model) - Loss: 0.4924 - Accuracy: 0.9375 - F1: 0.9352
sub_3:Test (Best Model) - Loss: 0.4606 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.3882 - Accuracy: 0.9394 - F1: 0.9380
sub_5:Test (Best Model) - Loss: 0.2574 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.8201 - Accuracy: 0.4062 - F1: 0.2889
sub_4:Test (Best Model) - Loss: 0.4829 - Accuracy: 0.8788 - F1: 0.8778
sub_5:Test (Best Model) - Loss: 0.3308 - Accuracy: 0.9688 - F1: 0.9680
sub_6:Test (Best Model) - Loss: 0.6180 - Accuracy: 0.7812 - F1: 0.7793
sub_4:Test (Best Model) - Loss: 0.5555 - Accuracy: 0.8788 - F1: 0.8731
sub_5:Test (Best Model) - Loss: 0.3356 - Accuracy: 0.9375 - F1: 0.9352
sub_6:Test (Best Model) - Loss: 0.6847 - Accuracy: 0.5625 - F1: 0.5608
sub_4:Test (Best Model) - Loss: 0.5851 - Accuracy: 0.7576 - F1: 0.7273
sub_5:Test (Best Model) - Loss: 0.3124 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 0.6002 - Accuracy: 0.8182 - F1: 0.8036
sub_6:Test (Best Model) - Loss: 0.7386 - Accuracy: 0.5625 - F1: 0.5608
sub_5:Test (Best Model) - Loss: 0.2146 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.4956 - Accuracy: 0.9091 - F1: 0.9060
sub_5:Test (Best Model) - Loss: 0.5744 - Accuracy: 0.9062 - F1: 0.9062
sub_6:Test (Best Model) - Loss: 0.7188 - Accuracy: 0.4062 - F1: 0.3267
sub_4:Test (Best Model) - Loss: 0.5142 - Accuracy: 0.9697 - F1: 0.9696
sub_6:Test (Best Model) - Loss: 0.6175 - Accuracy: 0.8485 - F1: 0.8462
sub_5:Test (Best Model) - Loss: 0.5691 - Accuracy: 0.9062 - F1: 0.9062
sub_6:Test (Best Model) - Loss: 0.6025 - Accuracy: 0.9091 - F1: 0.9060
sub_5:Test (Best Model) - Loss: 0.5408 - Accuracy: 0.9375 - F1: 0.9373
sub_4:Test (Best Model) - Loss: 0.4761 - Accuracy: 0.9394 - F1: 0.9380
sub_5:Test (Best Model) - Loss: 0.5892 - Accuracy: 0.8750 - F1: 0.8750
sub_6:Test (Best Model) - Loss: 0.5326 - Accuracy: 0.9091 - F1: 0.9060
sub_4:Test (Best Model) - Loss: 0.4226 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.5795 - Accuracy: 0.8750 - F1: 0.8750
sub_6:Test (Best Model) - Loss: 0.5622 - Accuracy: 0.8788 - F1: 0.8731
sub_4:Test (Best Model) - Loss: 0.5236 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.4815 - Accuracy: 0.7812 - F1: 0.7519
sub_6:Test (Best Model) - Loss: 0.5923 - Accuracy: 0.9091 - F1: 0.9060
sub_4:Test (Best Model) - Loss: 0.4723 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.5467 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 0.5650 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.5413 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.5578 - Accuracy: 0.8182 - F1: 0.8036
sub_5:Test (Best Model) - Loss: 0.5449 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 0.5222 - Accuracy: 0.9697 - F1: 0.9692
sub_5:Test (Best Model) - Loss: 0.5323 - Accuracy: 0.9375 - F1: 0.9352
sub_6:Test (Best Model) - Loss: 0.5797 - Accuracy: 0.9394 - F1: 0.9380
sub_4:Test (Best Model) - Loss: 0.5446 - Accuracy: 0.8485 - F1: 0.8390
sub_6:Test (Best Model) - Loss: 0.5482 - Accuracy: 0.9091 - F1: 0.9060
sub_4:Test (Best Model) - Loss: 0.5757 - Accuracy: 0.8182 - F1: 0.8139
sub_6:Test (Best Model) - Loss: 0.6377 - Accuracy: 0.6970 - F1: 0.6827
sub_6:Test (Best Model) - Loss: 0.6127 - Accuracy: 0.6667 - F1: 0.5935
sub_4:Test (Best Model) - Loss: 0.5495 - Accuracy: 0.7879 - F1: 0.7664
sub_9:Test (Best Model) - Loss: 0.5843 - Accuracy: 0.5938 - F1: 0.5589
sub_7:Test (Best Model) - Loss: 0.4677 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.5165 - Accuracy: 0.7500 - F1: 0.7490
sub_9:Test (Best Model) - Loss: 0.6296 - Accuracy: 0.9375 - F1: 0.9365
sub_7:Test (Best Model) - Loss: 0.4944 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.6470 - Accuracy: 0.8125 - F1: 0.8118
sub_8:Test (Best Model) - Loss: 0.6091 - Accuracy: 0.8750 - F1: 0.8745
sub_7:Test (Best Model) - Loss: 0.4294 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.6162 - Accuracy: 0.9375 - F1: 0.9365
sub_9:Test (Best Model) - Loss: 0.6205 - Accuracy: 0.9062 - F1: 0.9015
sub_7:Test (Best Model) - Loss: 0.4512 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.5932 - Accuracy: 0.8750 - F1: 0.8667
sub_9:Test (Best Model) - Loss: 0.5649 - Accuracy: 0.8125 - F1: 0.8125
sub_7:Test (Best Model) - Loss: 0.4557 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.5881 - Accuracy: 0.9688 - F1: 0.9680
sub_9:Test (Best Model) - Loss: 0.5753 - Accuracy: 0.9375 - F1: 0.9373
sub_7:Test (Best Model) - Loss: 0.5430 - Accuracy: 0.8438 - F1: 0.8303
sub_9:Test (Best Model) - Loss: 0.6461 - Accuracy: 0.8750 - F1: 0.8730
sub_8:Test (Best Model) - Loss: 0.5443 - Accuracy: 0.9062 - F1: 0.9062
sub_7:Test (Best Model) - Loss: 0.6149 - Accuracy: 0.7812 - F1: 0.7519
sub_8:Test (Best Model) - Loss: 0.5547 - Accuracy: 0.9062 - F1: 0.9015
sub_9:Test (Best Model) - Loss: 0.6165 - Accuracy: 0.8750 - F1: 0.8730
sub_7:Test (Best Model) - Loss: 0.5634 - Accuracy: 0.8438 - F1: 0.8303
sub_8:Test (Best Model) - Loss: 0.5248 - Accuracy: 0.9688 - F1: 0.9685
sub_9:Test (Best Model) - Loss: 0.5897 - Accuracy: 0.8750 - F1: 0.8730
sub_7:Test (Best Model) - Loss: 0.5976 - Accuracy: 0.9062 - F1: 0.9054
sub_8:Test (Best Model) - Loss: 0.5616 - Accuracy: 0.9375 - F1: 0.9373
sub_9:Test (Best Model) - Loss: 0.7544 - Accuracy: 0.8750 - F1: 0.8730
sub_7:Test (Best Model) - Loss: 0.5883 - Accuracy: 0.9062 - F1: 0.9054
sub_8:Test (Best Model) - Loss: 0.5710 - Accuracy: 0.7812 - F1: 0.7793
sub_9:Test (Best Model) - Loss: 0.5904 - Accuracy: 0.8750 - F1: 0.8750
sub_7:Test (Best Model) - Loss: 0.5029 - Accuracy: 0.7812 - F1: 0.7758
sub_8:Test (Best Model) - Loss: 0.5010 - Accuracy: 0.8125 - F1: 0.7922
sub_9:Test (Best Model) - Loss: 0.5665 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.5726 - Accuracy: 0.9062 - F1: 0.9039
sub_8:Test (Best Model) - Loss: 0.6779 - Accuracy: 0.5625 - F1: 0.5466
sub_8:Test (Best Model) - Loss: 0.5522 - Accuracy: 0.9062 - F1: 0.9015
sub_9:Test (Best Model) - Loss: 0.5489 - Accuracy: 0.9688 - F1: 0.9685
sub_7:Test (Best Model) - Loss: 0.5389 - Accuracy: 0.8438 - F1: 0.8424
sub_8:Test (Best Model) - Loss: 0.7098 - Accuracy: 0.4688 - F1: 0.3637
sub_9:Test (Best Model) - Loss: 0.6058 - Accuracy: 0.6562 - F1: 0.6390
sub_7:Test (Best Model) - Loss: 0.5169 - Accuracy: 0.8750 - F1: 0.8750
sub_8:Test (Best Model) - Loss: 0.5967 - Accuracy: 0.7500 - F1: 0.7091
sub_9:Test (Best Model) - Loss: 0.6449 - Accuracy: 0.9375 - F1: 0.9352
sub_7:Test (Best Model) - Loss: 0.5827 - Accuracy: 0.8438 - F1: 0.8424
sub_12:Test (Best Model) - Loss: 0.6517 - Accuracy: 0.4375 - F1: 0.3043
sub_10:Test (Best Model) - Loss: 0.7106 - Accuracy: 0.4375 - F1: 0.3043
sub_12:Test (Best Model) - Loss: 0.6266 - Accuracy: 0.4688 - F1: 0.3637
sub_11:Test (Best Model) - Loss: 0.5520 - Accuracy: 0.8182 - F1: 0.8036
sub_10:Test (Best Model) - Loss: 0.5688 - Accuracy: 0.8125 - F1: 0.8118
sub_11:Test (Best Model) - Loss: 0.6368 - Accuracy: 0.5758 - F1: 0.4225
sub_12:Test (Best Model) - Loss: 0.6587 - Accuracy: 0.7500 - F1: 0.7490
sub_10:Test (Best Model) - Loss: 0.6121 - Accuracy: 0.7812 - F1: 0.7793
sub_11:Test (Best Model) - Loss: 0.6929 - Accuracy: 0.6364 - F1: 0.5417
sub_12:Test (Best Model) - Loss: 0.5950 - Accuracy: 0.8125 - F1: 0.8095
sub_10:Test (Best Model) - Loss: 0.5701 - Accuracy: 0.8438 - F1: 0.8436
sub_12:Test (Best Model) - Loss: 0.6124 - Accuracy: 0.4375 - F1: 0.3043
sub_11:Test (Best Model) - Loss: 1.0111 - Accuracy: 0.5455 - F1: 0.3529
sub_12:Test (Best Model) - Loss: 0.6364 - Accuracy: 0.6970 - F1: 0.6827
sub_10:Test (Best Model) - Loss: 0.5273 - Accuracy: 0.8750 - F1: 0.8750
sub_11:Test (Best Model) - Loss: 0.6158 - Accuracy: 0.7576 - F1: 0.7273
sub_12:Test (Best Model) - Loss: 0.6319 - Accuracy: 0.9394 - F1: 0.9380
sub_12:Test (Best Model) - Loss: 0.6527 - Accuracy: 0.5455 - F1: 0.4762
sub_11:Test (Best Model) - Loss: 0.6088 - Accuracy: 0.8182 - F1: 0.8167
sub_10:Test (Best Model) - Loss: 0.5430 - Accuracy: 0.5938 - F1: 0.5733
sub_12:Test (Best Model) - Loss: 0.6693 - Accuracy: 0.4545 - F1: 0.3125
sub_10:Test (Best Model) - Loss: 0.3170 - Accuracy: 0.9688 - F1: 0.9680
sub_11:Test (Best Model) - Loss: 0.6447 - Accuracy: 0.7879 - F1: 0.7871
sub_12:Test (Best Model) - Loss: 0.5878 - Accuracy: 0.8788 - F1: 0.8778
sub_10:Test (Best Model) - Loss: 0.3083 - Accuracy: 0.9062 - F1: 0.9039
sub_11:Test (Best Model) - Loss: 0.5661 - Accuracy: 0.8788 - F1: 0.8787
sub_12:Test (Best Model) - Loss: 0.7063 - Accuracy: 0.4375 - F1: 0.3043
sub_10:Test (Best Model) - Loss: 0.4718 - Accuracy: 0.6562 - F1: 0.6390
sub_11:Test (Best Model) - Loss: 0.6125 - Accuracy: 0.8182 - F1: 0.8167
sub_12:Test (Best Model) - Loss: 0.6378 - Accuracy: 0.4375 - F1: 0.3043
sub_11:Test (Best Model) - Loss: 0.6139 - Accuracy: 0.7879 - F1: 0.7847
sub_12:Test (Best Model) - Loss: 0.6779 - Accuracy: 0.4062 - F1: 0.2889
sub_10:Test (Best Model) - Loss: 0.3025 - Accuracy: 0.9688 - F1: 0.9680
sub_12:Test (Best Model) - Loss: 0.5691 - Accuracy: 0.5312 - F1: 0.4684
sub_11:Test (Best Model) - Loss: 0.6056 - Accuracy: 0.8788 - F1: 0.8787
sub_10:Test (Best Model) - Loss: 0.4748 - Accuracy: 0.9091 - F1: 0.9060
sub_12:Test (Best Model) - Loss: 0.5866 - Accuracy: 0.8438 - F1: 0.8436
sub_11:Test (Best Model) - Loss: 0.5700 - Accuracy: 0.9697 - F1: 0.9696
sub_10:Test (Best Model) - Loss: 0.5320 - Accuracy: 0.9394 - F1: 0.9389
sub_11:Test (Best Model) - Loss: 0.6737 - Accuracy: 0.5152 - F1: 0.4261
sub_10:Test (Best Model) - Loss: 0.5246 - Accuracy: 0.8788 - F1: 0.8731
sub_11:Test (Best Model) - Loss: 0.5671 - Accuracy: 0.8182 - F1: 0.8167
sub_10:Test (Best Model) - Loss: 0.4549 - Accuracy: 0.9697 - F1: 0.9692
sub_11:Test (Best Model) - Loss: 0.5923 - Accuracy: 0.8485 - F1: 0.8479
sub_10:Test (Best Model) - Loss: 0.6076 - Accuracy: 0.7879 - F1: 0.7664
sub_14:Test (Best Model) - Loss: 0.5346 - Accuracy: 0.7812 - F1: 0.7625
sub_13:Test (Best Model) - Loss: 0.5482 - Accuracy: 0.9062 - F1: 0.9054
sub_14:Test (Best Model) - Loss: 0.7962 - Accuracy: 0.5625 - F1: 0.3600
sub_15:Test (Best Model) - Loss: 0.4104 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.5617 - Accuracy: 0.8438 - F1: 0.8303
sub_14:Test (Best Model) - Loss: 0.6835 - Accuracy: 0.5938 - F1: 0.4340
sub_15:Test (Best Model) - Loss: 0.4351 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 0.5392 - Accuracy: 0.8438 - F1: 0.8303
sub_14:Test (Best Model) - Loss: 0.9580 - Accuracy: 0.5938 - F1: 0.4340
sub_15:Test (Best Model) - Loss: 0.4012 - Accuracy: 0.8750 - F1: 0.8667
sub_13:Test (Best Model) - Loss: 0.6022 - Accuracy: 0.8438 - F1: 0.8303
sub_14:Test (Best Model) - Loss: 0.6407 - Accuracy: 0.7188 - F1: 0.6632
sub_13:Test (Best Model) - Loss: 0.4518 - Accuracy: 0.9375 - F1: 0.9365
sub_15:Test (Best Model) - Loss: 0.3995 - Accuracy: 0.8125 - F1: 0.7922
sub_14:Test (Best Model) - Loss: 0.5012 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.5006 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.3769 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 0.3954 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.4896 - Accuracy: 0.9394 - F1: 0.9380
sub_15:Test (Best Model) - Loss: 0.5382 - Accuracy: 0.9688 - F1: 0.9685
sub_13:Test (Best Model) - Loss: 0.4552 - Accuracy: 0.7576 - F1: 0.7273
sub_14:Test (Best Model) - Loss: 0.3350 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.5456 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.4876 - Accuracy: 0.9697 - F1: 0.9692
sub_15:Test (Best Model) - Loss: 0.5417 - Accuracy: 0.9688 - F1: 0.9685
sub_14:Test (Best Model) - Loss: 0.3894 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.4305 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.4746 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.4354 - Accuracy: 0.9688 - F1: 0.9685
sub_13:Test (Best Model) - Loss: 5.5737 - Accuracy: 0.7188 - F1: 0.6632
sub_14:Test (Best Model) - Loss: 0.4325 - Accuracy: 0.9062 - F1: 0.9015
sub_15:Test (Best Model) - Loss: 0.5507 - Accuracy: 0.9375 - F1: 0.9373
sub_13:Test (Best Model) - Loss: 3.9205 - Accuracy: 0.7500 - F1: 0.7229
sub_14:Test (Best Model) - Loss: 0.4621 - Accuracy: 0.8750 - F1: 0.8667
sub_13:Test (Best Model) - Loss: 2.8885 - Accuracy: 0.8125 - F1: 0.8000
sub_15:Test (Best Model) - Loss: 0.6361 - Accuracy: 0.9375 - F1: 0.9352
sub_14:Test (Best Model) - Loss: 0.5289 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 3.8694 - Accuracy: 0.8438 - F1: 0.8359
sub_15:Test (Best Model) - Loss: 0.5931 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 0.4657 - Accuracy: 0.9375 - F1: 0.9352
sub_15:Test (Best Model) - Loss: 0.6233 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 0.4820 - Accuracy: 0.9375 - F1: 0.9352
sub_13:Test (Best Model) - Loss: 6.7021 - Accuracy: 0.6875 - F1: 0.6364
sub_15:Test (Best Model) - Loss: 0.5561 - Accuracy: 0.9688 - F1: 0.9680
sub_15:Test (Best Model) - Loss: 0.6005 - Accuracy: 0.9688 - F1: 0.9680
sub_16:Test (Best Model) - Loss: 0.6677 - Accuracy: 0.4375 - F1: 0.3043
sub_17:Test (Best Model) - Loss: 0.6508 - Accuracy: 0.4545 - F1: 0.3125
sub_18:Test (Best Model) - Loss: 0.2491 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.5406 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.5969 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.3522 - Accuracy: 0.9697 - F1: 0.9692
sub_16:Test (Best Model) - Loss: 0.6497 - Accuracy: 0.7812 - F1: 0.7793
sub_17:Test (Best Model) - Loss: 0.5822 - Accuracy: 0.9091 - F1: 0.9060
sub_18:Test (Best Model) - Loss: 0.3957 - Accuracy: 0.9091 - F1: 0.9060
sub_16:Test (Best Model) - Loss: 0.6495 - Accuracy: 0.8125 - F1: 0.8125
sub_17:Test (Best Model) - Loss: 0.6018 - Accuracy: 0.7879 - F1: 0.7664
sub_18:Test (Best Model) - Loss: 0.4772 - Accuracy: 0.7879 - F1: 0.7664
sub_18:Test (Best Model) - Loss: 0.3756 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.4936 - Accuracy: 0.9697 - F1: 0.9696
sub_16:Test (Best Model) - Loss: 0.5468 - Accuracy: 0.9375 - F1: 0.9365
sub_17:Test (Best Model) - Loss: 0.6335 - Accuracy: 0.6061 - F1: 0.5662
sub_16:Test (Best Model) - Loss: 0.6666 - Accuracy: 0.4375 - F1: 0.3043
sub_18:Test (Best Model) - Loss: 0.5389 - Accuracy: 0.8750 - F1: 0.8750
sub_16:Test (Best Model) - Loss: 0.6193 - Accuracy: 0.9062 - F1: 0.9015
sub_17:Test (Best Model) - Loss: 0.6653 - Accuracy: 0.6061 - F1: 0.5662
sub_18:Test (Best Model) - Loss: 0.5866 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.6721 - Accuracy: 0.4375 - F1: 0.3043
sub_17:Test (Best Model) - Loss: 0.6177 - Accuracy: 0.6364 - F1: 0.6192
sub_16:Test (Best Model) - Loss: 0.7179 - Accuracy: 0.4375 - F1: 0.3043
sub_18:Test (Best Model) - Loss: 0.5711 - Accuracy: 0.9062 - F1: 0.9062
sub_17:Test (Best Model) - Loss: 0.6170 - Accuracy: 0.8485 - F1: 0.8479
sub_16:Test (Best Model) - Loss: 0.5550 - Accuracy: 0.9062 - F1: 0.9062
sub_18:Test (Best Model) - Loss: 0.6010 - Accuracy: 0.8750 - F1: 0.8750
sub_17:Test (Best Model) - Loss: 0.6489 - Accuracy: 0.5758 - F1: 0.5227
sub_16:Test (Best Model) - Loss: 0.8557 - Accuracy: 0.7188 - F1: 0.6811
sub_18:Test (Best Model) - Loss: 0.5982 - Accuracy: 0.8438 - F1: 0.8436
sub_17:Test (Best Model) - Loss: 0.6792 - Accuracy: 0.8125 - F1: 0.8057
sub_16:Test (Best Model) - Loss: 0.7808 - Accuracy: 0.8125 - F1: 0.7922
sub_18:Test (Best Model) - Loss: 0.4835 - Accuracy: 0.7188 - F1: 0.6632
sub_17:Test (Best Model) - Loss: 0.6276 - Accuracy: 0.8125 - F1: 0.8095
sub_16:Test (Best Model) - Loss: 0.7146 - Accuracy: 0.7500 - F1: 0.7229
sub_18:Test (Best Model) - Loss: 0.4323 - Accuracy: 0.9688 - F1: 0.9680
sub_17:Test (Best Model) - Loss: 0.7067 - Accuracy: 0.8125 - F1: 0.8057
sub_16:Test (Best Model) - Loss: 0.6395 - Accuracy: 0.8125 - F1: 0.7922
sub_17:Test (Best Model) - Loss: 0.6332 - Accuracy: 0.6875 - F1: 0.6825
sub_18:Test (Best Model) - Loss: 0.3748 - Accuracy: 0.8438 - F1: 0.8303
sub_16:Test (Best Model) - Loss: 0.8525 - Accuracy: 0.7812 - F1: 0.7519
sub_18:Test (Best Model) - Loss: 0.4607 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.7331 - Accuracy: 0.8125 - F1: 0.8057
sub_18:Test (Best Model) - Loss: 0.4883 - Accuracy: 0.6875 - F1: 0.6135
sub_20:Test (Best Model) - Loss: 0.6338 - Accuracy: 0.4375 - F1: 0.3043
sub_19:Test (Best Model) - Loss: 0.7726 - Accuracy: 0.4375 - F1: 0.3043
sub_19:Test (Best Model) - Loss: 0.6990 - Accuracy: 0.6250 - F1: 0.6235
sub_20:Test (Best Model) - Loss: 0.6001 - Accuracy: 0.5938 - F1: 0.5733
sub_21:Test (Best Model) - Loss: 0.3983 - Accuracy: 0.9062 - F1: 0.9015
sub_19:Test (Best Model) - Loss: 0.6631 - Accuracy: 0.7188 - F1: 0.7046
sub_21:Test (Best Model) - Loss: 0.5009 - Accuracy: 0.8125 - F1: 0.7922
sub_20:Test (Best Model) - Loss: 0.6341 - Accuracy: 0.4688 - F1: 0.3637
sub_19:Test (Best Model) - Loss: 0.6430 - Accuracy: 0.7188 - F1: 0.6632
sub_21:Test (Best Model) - Loss: 0.5572 - Accuracy: 0.7812 - F1: 0.7519
sub_20:Test (Best Model) - Loss: 0.6362 - Accuracy: 0.8750 - F1: 0.8667
sub_19:Test (Best Model) - Loss: 0.7154 - Accuracy: 0.6875 - F1: 0.6875
sub_21:Test (Best Model) - Loss: 0.5474 - Accuracy: 0.7812 - F1: 0.7519
sub_20:Test (Best Model) - Loss: 0.5952 - Accuracy: 0.4688 - F1: 0.3637
sub_19:Test (Best Model) - Loss: 0.6271 - Accuracy: 0.5938 - F1: 0.5589
sub_21:Test (Best Model) - Loss: 0.4506 - Accuracy: 0.8438 - F1: 0.8303
sub_20:Test (Best Model) - Loss: 0.6300 - Accuracy: 0.4375 - F1: 0.3043
sub_19:Test (Best Model) - Loss: 0.6089 - Accuracy: 0.9375 - F1: 0.9365
sub_21:Test (Best Model) - Loss: 0.8408 - Accuracy: 0.8750 - F1: 0.8745
sub_20:Test (Best Model) - Loss: 0.6539 - Accuracy: 0.5625 - F1: 0.5466
sub_19:Test (Best Model) - Loss: 0.5882 - Accuracy: 0.6562 - F1: 0.6390
sub_21:Test (Best Model) - Loss: 0.6190 - Accuracy: 0.9062 - F1: 0.9039
sub_20:Test (Best Model) - Loss: 0.6460 - Accuracy: 0.4375 - F1: 0.3043
sub_19:Test (Best Model) - Loss: 0.5636 - Accuracy: 0.9688 - F1: 0.9680
sub_20:Test (Best Model) - Loss: 0.6490 - Accuracy: 0.5938 - F1: 0.5733
sub_21:Test (Best Model) - Loss: 0.6940 - Accuracy: 0.8438 - F1: 0.8359
sub_20:Test (Best Model) - Loss: 0.6429 - Accuracy: 0.5000 - F1: 0.4182
sub_19:Test (Best Model) - Loss: 0.5587 - Accuracy: 0.9375 - F1: 0.9373
sub_21:Test (Best Model) - Loss: 0.5997 - Accuracy: 0.9062 - F1: 0.9062
sub_20:Test (Best Model) - Loss: 0.9841 - Accuracy: 0.4545 - F1: 0.3125
sub_19:Test (Best Model) - Loss: 0.5547 - Accuracy: 0.8750 - F1: 0.8667
sub_20:Test (Best Model) - Loss: 0.6623 - Accuracy: 0.5758 - F1: 0.5558
sub_21:Test (Best Model) - Loss: 0.6351 - Accuracy: 0.9375 - F1: 0.9365
sub_19:Test (Best Model) - Loss: 0.6011 - Accuracy: 0.8438 - F1: 0.8303
sub_20:Test (Best Model) - Loss: 0.6805 - Accuracy: 0.5152 - F1: 0.4261
sub_19:Test (Best Model) - Loss: 0.7108 - Accuracy: 0.7812 - F1: 0.7519
sub_21:Test (Best Model) - Loss: 0.6540 - Accuracy: 0.5625 - F1: 0.5466
sub_19:Test (Best Model) - Loss: 0.5565 - Accuracy: 0.8750 - F1: 0.8667
sub_21:Test (Best Model) - Loss: 0.6591 - Accuracy: 0.5625 - F1: 0.5466
sub_20:Test (Best Model) - Loss: 0.6219 - Accuracy: 0.6667 - F1: 0.6553
sub_19:Test (Best Model) - Loss: 0.7020 - Accuracy: 0.6250 - F1: 0.5000
sub_21:Test (Best Model) - Loss: 0.6640 - Accuracy: 0.5000 - F1: 0.4980
sub_20:Test (Best Model) - Loss: 0.5811 - Accuracy: 0.7273 - F1: 0.6857
sub_21:Test (Best Model) - Loss: 0.6318 - Accuracy: 0.5938 - F1: 0.5589
sub_21:Test (Best Model) - Loss: 0.6706 - Accuracy: 0.5000 - F1: 0.4921
sub_23:Test (Best Model) - Loss: 0.5939 - Accuracy: 0.9091 - F1: 0.9088
sub_22:Test (Best Model) - Loss: 0.7556 - Accuracy: 0.4375 - F1: 0.3043
sub_24:Test (Best Model) - Loss: 0.4833 - Accuracy: 0.9375 - F1: 0.9373
sub_22:Test (Best Model) - Loss: 0.4964 - Accuracy: 0.8438 - F1: 0.8303
sub_24:Test (Best Model) - Loss: 0.4192 - Accuracy: 0.8438 - F1: 0.8303
sub_23:Test (Best Model) - Loss: 0.5549 - Accuracy: 0.8788 - F1: 0.8731
sub_22:Test (Best Model) - Loss: 0.4121 - Accuracy: 0.8750 - F1: 0.8667
sub_24:Test (Best Model) - Loss: 0.4600 - Accuracy: 0.8750 - F1: 0.8667
sub_23:Test (Best Model) - Loss: 0.6327 - Accuracy: 0.9394 - F1: 0.9389
sub_23:Test (Best Model) - Loss: 0.6599 - Accuracy: 0.7576 - F1: 0.7273
sub_22:Test (Best Model) - Loss: 0.5036 - Accuracy: 0.7812 - F1: 0.7519
sub_24:Test (Best Model) - Loss: 0.3994 - Accuracy: 0.8750 - F1: 0.8667
sub_22:Test (Best Model) - Loss: 0.4389 - Accuracy: 0.9062 - F1: 0.9015
sub_23:Test (Best Model) - Loss: 0.6028 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.4200 - Accuracy: 0.9688 - F1: 0.9685
sub_22:Test (Best Model) - Loss: 0.6419 - Accuracy: 0.5455 - F1: 0.5171
sub_23:Test (Best Model) - Loss: 0.6635 - Accuracy: 0.4688 - F1: 0.3637
sub_24:Test (Best Model) - Loss: 0.5695 - Accuracy: 0.9062 - F1: 0.9054
sub_23:Test (Best Model) - Loss: 0.6143 - Accuracy: 0.7500 - F1: 0.7460
sub_22:Test (Best Model) - Loss: 0.6567 - Accuracy: 0.5758 - F1: 0.5722
sub_24:Test (Best Model) - Loss: 0.5458 - Accuracy: 0.9062 - F1: 0.9039
sub_23:Test (Best Model) - Loss: 0.5855 - Accuracy: 0.6875 - F1: 0.6761
sub_24:Test (Best Model) - Loss: 0.5748 - Accuracy: 0.8750 - F1: 0.8704
sub_22:Test (Best Model) - Loss: 0.6312 - Accuracy: 0.5758 - F1: 0.5558
sub_24:Test (Best Model) - Loss: 0.5571 - Accuracy: 0.8438 - F1: 0.8436
sub_23:Test (Best Model) - Loss: 0.6112 - Accuracy: 0.5938 - F1: 0.5733
sub_22:Test (Best Model) - Loss: 0.6428 - Accuracy: 0.6061 - F1: 0.5815
sub_24:Test (Best Model) - Loss: 0.5433 - Accuracy: 0.9062 - F1: 0.9039
sub_22:Test (Best Model) - Loss: 0.6559 - Accuracy: 0.4848 - F1: 0.4328
sub_23:Test (Best Model) - Loss: 0.6267 - Accuracy: 0.5938 - F1: 0.5589
sub_24:Test (Best Model) - Loss: 0.4274 - Accuracy: 0.8750 - F1: 0.8667
sub_24:Test (Best Model) - Loss: 0.4893 - Accuracy: 0.9062 - F1: 0.9015
sub_23:Test (Best Model) - Loss: 0.5220 - Accuracy: 0.8182 - F1: 0.8036
sub_22:Test (Best Model) - Loss: 0.4273 - Accuracy: 0.9062 - F1: 0.9015
sub_24:Test (Best Model) - Loss: 0.4608 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.5833 - Accuracy: 0.7576 - F1: 0.7273
sub_22:Test (Best Model) - Loss: 0.4796 - Accuracy: 0.9688 - F1: 0.9680
sub_24:Test (Best Model) - Loss: 0.4328 - Accuracy: 0.9688 - F1: 0.9680
sub_22:Test (Best Model) - Loss: 0.5275 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.5166 - Accuracy: 0.7273 - F1: 0.6857
sub_23:Test (Best Model) - Loss: 0.6217 - Accuracy: 0.6970 - F1: 0.6967
sub_24:Test (Best Model) - Loss: 0.4436 - Accuracy: 0.9062 - F1: 0.9015
sub_22:Test (Best Model) - Loss: 0.5675 - Accuracy: 0.8125 - F1: 0.8125
sub_23:Test (Best Model) - Loss: 0.5757 - Accuracy: 0.6061 - F1: 0.4850
sub_22:Test (Best Model) - Loss: 0.5143 - Accuracy: 0.6875 - F1: 0.6135
sub_25:Test (Best Model) - Loss: 0.6600 - Accuracy: 0.4848 - F1: 0.3718
sub_27:Test (Best Model) - Loss: 0.6508 - Accuracy: 0.4545 - F1: 0.3125
sub_26:Test (Best Model) - Loss: 0.5829 - Accuracy: 0.7273 - F1: 0.7179
sub_25:Test (Best Model) - Loss: 0.5888 - Accuracy: 0.8788 - F1: 0.8731
sub_26:Test (Best Model) - Loss: 0.5818 - Accuracy: 0.9697 - F1: 0.9696
sub_27:Test (Best Model) - Loss: 0.5406 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.6206 - Accuracy: 0.8182 - F1: 0.8036
sub_26:Test (Best Model) - Loss: 0.6092 - Accuracy: 0.7576 - F1: 0.7556
sub_27:Test (Best Model) - Loss: 0.5822 - Accuracy: 0.9091 - F1: 0.9060
sub_25:Test (Best Model) - Loss: 0.7190 - Accuracy: 0.8182 - F1: 0.8036
sub_26:Test (Best Model) - Loss: 0.6037 - Accuracy: 0.8788 - F1: 0.8731
sub_27:Test (Best Model) - Loss: 0.6018 - Accuracy: 0.7879 - F1: 0.7664
sub_25:Test (Best Model) - Loss: 0.6092 - Accuracy: 0.9091 - F1: 0.9088
sub_26:Test (Best Model) - Loss: 0.5577 - Accuracy: 0.7576 - F1: 0.7519
sub_25:Test (Best Model) - Loss: 0.6531 - Accuracy: 0.7500 - F1: 0.7460
sub_27:Test (Best Model) - Loss: 0.4936 - Accuracy: 0.9697 - F1: 0.9696
sub_26:Test (Best Model) - Loss: 0.5876 - Accuracy: 0.8750 - F1: 0.8750
sub_25:Test (Best Model) - Loss: 0.6198 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.6335 - Accuracy: 0.6061 - F1: 0.5662
sub_26:Test (Best Model) - Loss: 0.5880 - Accuracy: 0.8438 - F1: 0.8398
sub_27:Test (Best Model) - Loss: 0.6653 - Accuracy: 0.6061 - F1: 0.5662
sub_25:Test (Best Model) - Loss: 0.6234 - Accuracy: 0.9062 - F1: 0.9062
sub_26:Test (Best Model) - Loss: 0.6109 - Accuracy: 0.9062 - F1: 0.9054
sub_27:Test (Best Model) - Loss: 0.6177 - Accuracy: 0.6364 - F1: 0.6192
sub_25:Test (Best Model) - Loss: 0.5715 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.6030 - Accuracy: 0.8750 - F1: 0.8745
sub_27:Test (Best Model) - Loss: 0.6170 - Accuracy: 0.8485 - F1: 0.8479
sub_25:Test (Best Model) - Loss: 0.5616 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.5428 - Accuracy: 0.9375 - F1: 0.9373
sub_27:Test (Best Model) - Loss: 0.6489 - Accuracy: 0.5758 - F1: 0.5227
sub_27:Test (Best Model) - Loss: 0.6792 - Accuracy: 0.8125 - F1: 0.8057
sub_25:Test (Best Model) - Loss: 0.4135 - Accuracy: 0.8750 - F1: 0.8667
sub_26:Test (Best Model) - Loss: 0.3568 - Accuracy: 0.8125 - F1: 0.7922
sub_25:Test (Best Model) - Loss: 0.4764 - Accuracy: 0.8750 - F1: 0.8667
sub_27:Test (Best Model) - Loss: 0.6276 - Accuracy: 0.8125 - F1: 0.8095
sub_26:Test (Best Model) - Loss: 0.5023 - Accuracy: 0.9375 - F1: 0.9352
sub_25:Test (Best Model) - Loss: 0.5302 - Accuracy: 0.8438 - F1: 0.8303
sub_27:Test (Best Model) - Loss: 0.7067 - Accuracy: 0.8125 - F1: 0.8057
sub_26:Test (Best Model) - Loss: 0.3952 - Accuracy: 0.9375 - F1: 0.9352
sub_27:Test (Best Model) - Loss: 0.6332 - Accuracy: 0.6875 - F1: 0.6825
sub_25:Test (Best Model) - Loss: 0.5160 - Accuracy: 0.9062 - F1: 0.9039
sub_26:Test (Best Model) - Loss: 0.5364 - Accuracy: 0.9375 - F1: 0.9352
sub_27:Test (Best Model) - Loss: 0.7331 - Accuracy: 0.8125 - F1: 0.8057
sub_26:Test (Best Model) - Loss: 0.4668 - Accuracy: 0.7188 - F1: 0.6632
sub_25:Test (Best Model) - Loss: 0.4917 - Accuracy: 0.8125 - F1: 0.7922
sub_29:Test (Best Model) - Loss: 0.6598 - Accuracy: 0.4375 - F1: 0.3043
sub_28:Test (Best Model) - Loss: 0.6032 - Accuracy: 0.9062 - F1: 0.9039
sub_29:Test (Best Model) - Loss: 0.6365 - Accuracy: 0.6250 - F1: 0.6235
sub_28:Test (Best Model) - Loss: 0.5786 - Accuracy: 0.8438 - F1: 0.8303
sub_29:Test (Best Model) - Loss: 0.6136 - Accuracy: 0.9375 - F1: 0.9352
sub_28:Test (Best Model) - Loss: 0.5908 - Accuracy: 0.8750 - F1: 0.8667
sub_29:Test (Best Model) - Loss: 0.6877 - Accuracy: 0.4062 - F1: 0.3914
sub_28:Test (Best Model) - Loss: 0.5724 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 0.5476 - Accuracy: 0.9375 - F1: 0.9352
sub_28:Test (Best Model) - Loss: 0.5450 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 0.5235 - Accuracy: 0.9688 - F1: 0.9685
sub_28:Test (Best Model) - Loss: 0.6027 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 0.5831 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.5963 - Accuracy: 0.8750 - F1: 0.8667
sub_29:Test (Best Model) - Loss: 0.5111 - Accuracy: 0.9688 - F1: 0.9685
sub_28:Test (Best Model) - Loss: 0.5704 - Accuracy: 0.8750 - F1: 0.8667
sub_29:Test (Best Model) - Loss: 0.6419 - Accuracy: 0.4688 - F1: 0.3637
sub_28:Test (Best Model) - Loss: 0.5863 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 0.4299 - Accuracy: 0.9688 - F1: 0.9685
sub_28:Test (Best Model) - Loss: 0.5329 - Accuracy: 0.8750 - F1: 0.8667
sub_29:Test (Best Model) - Loss: 0.5251 - Accuracy: 0.9091 - F1: 0.9091
sub_28:Test (Best Model) - Loss: 0.7186 - Accuracy: 0.6562 - F1: 0.5594
sub_29:Test (Best Model) - Loss: 0.5462 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.5222 - Accuracy: 0.7500 - F1: 0.7500
sub_28:Test (Best Model) - Loss: 0.5557 - Accuracy: 0.7500 - F1: 0.7091
sub_29:Test (Best Model) - Loss: 0.5590 - Accuracy: 0.9394 - F1: 0.9389
sub_29:Test (Best Model) - Loss: 0.8177 - Accuracy: 0.4545 - F1: 0.3125
sub_28:Test (Best Model) - Loss: 0.7308 - Accuracy: 0.5938 - F1: 0.5733
sub_29:Test (Best Model) - Loss: 0.5668 - Accuracy: 0.9697 - F1: 0.9692
sub_28:Test (Best Model) - Loss: 0.7498 - Accuracy: 0.6875 - F1: 0.6135

=== Summary Results ===

acc: 80.21 ± 10.07
F1: 77.92 ± 11.88
acc-in: 82.36 ± 8.80
F1-in: 80.01 ± 10.28
runing time: 1258.80 seconds
