lr: 0.001
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 148.7107 - Accuracy: 0.9688 - F1: 0.9680
sub_2:Test (Best Model) - Loss: 1.5400 - Accuracy: 0.8788 - F1: 0.8778
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 172.1973 - Accuracy: 0.9375 - F1: 0.9352
sub_2:Test (Best Model) - Loss: 6.2191 - Accuracy: 0.6970 - F1: 0.6944
sub_3:Test (Best Model) - Loss: 348.8781 - Accuracy: 0.9688 - F1: 0.9680
sub_1: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_3:Test (Best Model) - Loss: 238.9382 - Accuracy: 0.9688 - F1: 0.9680
sub_2:Test (Best Model) - Loss: 4.6566 - Accuracy: 0.7879 - F1: 0.7847
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 305.6754 - Accuracy: 0.9062 - F1: 0.9015
sub_2:Test (Best Model) - Loss: 1.6138 - Accuracy: 0.7273 - F1: 0.7273
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 3.1782 - Accuracy: 0.8182 - F1: 0.8167
sub_2:Test (Best Model) - Loss: 1.1141 - Accuracy: 0.9091 - F1: 0.9060
sub_1:Test (Best Model) - Loss: 0.4373 - Accuracy: 0.9091 - F1: 0.9091
sub_3:Test (Best Model) - Loss: 2.2419 - Accuracy: 0.8182 - F1: 0.8167
sub_2:Test (Best Model) - Loss: 0.7683 - Accuracy: 0.9688 - F1: 0.9685
sub_3:Test (Best Model) - Loss: 3.2610 - Accuracy: 0.8182 - F1: 0.8167
sub_1:Test (Best Model) - Loss: 0.0006 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 2.0719 - Accuracy: 0.9091 - F1: 0.9091
sub_1:Test (Best Model) - Loss: 0.5252 - Accuracy: 0.8485 - F1: 0.8479
sub_2:Test (Best Model) - Loss: 0.0781 - Accuracy: 0.9688 - F1: 0.9685
sub_3:Test (Best Model) - Loss: 1.4336 - Accuracy: 0.9394 - F1: 0.9393
sub_1:Test (Best Model) - Loss: 0.5675 - Accuracy: 0.8485 - F1: 0.8479
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 7.6447 - Accuracy: 0.9062 - F1: 0.9015
sub_2:Test (Best Model) - Loss: 0.4900 - Accuracy: 0.9688 - F1: 0.9685
sub_1:Test (Best Model) - Loss: 1.4526 - Accuracy: 0.9688 - F1: 0.9680
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 1.4019 - Accuracy: 0.8750 - F1: 0.8750
sub_1:Test (Best Model) - Loss: 0.9654 - Accuracy: 0.9375 - F1: 0.9352
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.0759 - Accuracy: 0.9688 - F1: 0.9685
sub_1:Test (Best Model) - Loss: 9.3243 - Accuracy: 0.9375 - F1: 0.9352
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 5.5007 - Accuracy: 0.8788 - F1: 0.8731
sub_1:Test (Best Model) - Loss: 0.7231 - Accuracy: 0.9688 - F1: 0.9680
sub_3:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 6.2591 - Accuracy: 0.9394 - F1: 0.9380
sub_2:Test (Best Model) - Loss: 3.5403 - Accuracy: 0.8182 - F1: 0.8036
sub_2:Test (Best Model) - Loss: 0.6679 - Accuracy: 0.8182 - F1: 0.8139
sub_2:Test (Best Model) - Loss: 1.7980 - Accuracy: 0.7879 - F1: 0.7847
sub_6:Test (Best Model) - Loss: 0.6132 - Accuracy: 0.8125 - F1: 0.8125
sub_4:Test (Best Model) - Loss: 2.6406 - Accuracy: 0.9394 - F1: 0.9380
sub_5:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 1.2166 - Accuracy: 0.8750 - F1: 0.8750
sub_4:Test (Best Model) - Loss: 0.5798 - Accuracy: 0.9697 - F1: 0.9692
sub_5:Test (Best Model) - Loss: 2.8808 - Accuracy: 0.9375 - F1: 0.9352
sub_6:Test (Best Model) - Loss: 3.9428 - Accuracy: 0.7188 - F1: 0.7185
sub_4:Test (Best Model) - Loss: 4.0853 - Accuracy: 0.8788 - F1: 0.8759
sub_5:Test (Best Model) - Loss: 2.6084 - Accuracy: 0.9375 - F1: 0.9352
sub_4:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 1.2347 - Accuracy: 0.9688 - F1: 0.9680
sub_6:Test (Best Model) - Loss: 0.7505 - Accuracy: 0.8125 - F1: 0.8118
sub_6:Test (Best Model) - Loss: 2.2243 - Accuracy: 0.8125 - F1: 0.8118
sub_5:Test (Best Model) - Loss: 0.2926 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 2.1073 - Accuracy: 0.9697 - F1: 0.9692
sub_6:Test (Best Model) - Loss: 0.0132 - Accuracy: 1.0000 - F1: 1.0000
sub_4: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: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.8361 - Accuracy: 0.9062 - F1: 0.9062
sub_6:Test (Best Model) - Loss: 0.0032 - 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: 0.0000 - 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: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.2206 - Accuracy: 0.9394 - F1: 0.9380
sub_5:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.2521 - Accuracy: 0.9394 - F1: 0.9380
sub_4:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.0011 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 1.9324 - Accuracy: 0.8750 - F1: 0.8667
sub_6:Test (Best Model) - Loss: 1.1119 - Accuracy: 0.9394 - F1: 0.9380
sub_4:Test (Best Model) - Loss: 0.0021 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.1086 - Accuracy: 0.9688 - F1: 0.9680
sub_4:Test (Best Model) - Loss: 0.0032 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.0158 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 3.9855 - Accuracy: 0.9062 - F1: 0.9015
sub_4:Test (Best Model) - Loss: 4.0599 - Accuracy: 0.9394 - F1: 0.9380
sub_5:Test (Best Model) - Loss: 1.5192 - Accuracy: 0.9688 - F1: 0.9680
sub_6:Test (Best Model) - Loss: 0.0008 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.8829 - Accuracy: 0.8750 - F1: 0.8667
sub_4:Test (Best Model) - Loss: 0.0165 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.0074 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.3056 - Accuracy: 0.9697 - F1: 0.9692
sub_6:Test (Best Model) - Loss: 0.0183 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.2205 - Accuracy: 0.9375 - F1: 0.9373
sub_8:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.9375 - F1: 0.9365
sub_7:Test (Best Model) - Loss: 0.2412 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 1.0794 - Accuracy: 0.9375 - F1: 0.9365
sub_9:Test (Best Model) - Loss: 0.0887 - Accuracy: 0.9688 - F1: 0.9680
sub_7:Test (Best Model) - Loss: 0.0012 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.1028 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 0.0019 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.0017 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.1125 - Accuracy: 0.9688 - F1: 0.9680
sub_9:Test (Best Model) - Loss: 0.1310 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 0.0080 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.1454 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 0.2941 - Accuracy: 0.9688 - F1: 0.9685
sub_7:Test (Best Model) - Loss: 5.8474 - Accuracy: 0.9375 - F1: 0.9352
sub_9:Test (Best Model) - Loss: 0.1509 - Accuracy: 0.9688 - F1: 0.9680
sub_7:Test (Best Model) - Loss: 3.8896 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 0.3270 - Accuracy: 0.9375 - F1: 0.9365
sub_9:Test (Best Model) - Loss: 7.7216 - Accuracy: 0.9375 - F1: 0.9352
sub_8:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 6.3912 - Accuracy: 0.9688 - F1: 0.9680
sub_9:Test (Best Model) - Loss: 5.8147 - Accuracy: 0.8750 - F1: 0.8730
sub_8:Test (Best Model) - Loss: 0.0010 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 2.2719 - Accuracy: 0.9688 - F1: 0.9680
sub_9:Test (Best Model) - Loss: 18.2054 - Accuracy: 0.9062 - F1: 0.9039
sub_9:Test (Best Model) - Loss: 2.7429 - Accuracy: 0.9062 - F1: 0.9054
sub_7:Test (Best Model) - Loss: 0.3069 - Accuracy: 0.9688 - F1: 0.9680
sub_8:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 2.0298 - Accuracy: 0.9062 - F1: 0.9054
sub_8:Test (Best Model) - Loss: 0.5619 - Accuracy: 0.9375 - F1: 0.9352
sub_7:Test (Best Model) - Loss: 13.1940 - Accuracy: 0.8750 - F1: 0.8745
sub_9:Test (Best Model) - Loss: 41.5412 - Accuracy: 0.9062 - F1: 0.9015
sub_8:Test (Best Model) - Loss: 0.2370 - Accuracy: 0.9688 - F1: 0.9680
sub_7:Test (Best Model) - Loss: 4.2600 - Accuracy: 0.8750 - F1: 0.8730
sub_9:Test (Best Model) - Loss: 5.2490 - Accuracy: 0.7500 - F1: 0.7460
sub_7:Test (Best Model) - Loss: 10.7077 - Accuracy: 0.8750 - F1: 0.8745
sub_8:Test (Best Model) - Loss: 1.9060 - Accuracy: 0.9375 - F1: 0.9352
sub_9:Test (Best Model) - Loss: 1.3140 - Accuracy: 0.8750 - F1: 0.8750
sub_7:Test (Best Model) - Loss: 18.4137 - Accuracy: 0.9062 - F1: 0.9015
sub_8:Test (Best Model) - Loss: 0.4618 - Accuracy: 0.9688 - F1: 0.9680
sub_9:Test (Best Model) - Loss: 1.2142 - Accuracy: 0.8438 - F1: 0.8436
sub_7:Test (Best Model) - Loss: 5.3681 - Accuracy: 0.8438 - F1: 0.8424
sub_8:Test (Best Model) - Loss: 26.7867 - Accuracy: 0.5625 - F1: 0.5152
sub_9:Test (Best Model) - Loss: 0.7267 - Accuracy: 0.7812 - F1: 0.7810
sub_9:Test (Best Model) - Loss: 49.9311 - Accuracy: 0.8438 - F1: 0.8303
sub_10:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 6.1817 - Accuracy: 0.7273 - F1: 0.6857
sub_12:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0219 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 6.3754 - Accuracy: 0.7879 - F1: 0.7664
sub_12:Test (Best Model) - Loss: 0.0018 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.2206 - Accuracy: 0.9688 - F1: 0.9685
sub_11:Test (Best Model) - Loss: 7.0124 - Accuracy: 0.8182 - F1: 0.8036
sub_10:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 1.4816 - Accuracy: 0.8485 - F1: 0.8390
sub_12:Test (Best Model) - Loss: 0.0731 - Accuracy: 0.9688 - F1: 0.9685
sub_10:Test (Best Model) - Loss: 4.5340 - Accuracy: 0.9375 - F1: 0.9365
sub_11:Test (Best Model) - Loss: 2.5122 - Accuracy: 0.9091 - F1: 0.9060
sub_12:Test (Best Model) - Loss: 17.5211 - Accuracy: 0.8182 - F1: 0.8036
sub_11:Test (Best Model) - Loss: 0.4611 - Accuracy: 0.9394 - F1: 0.9393
sub_10:Test (Best Model) - Loss: 0.7140 - Accuracy: 0.9688 - F1: 0.9680
sub_12:Test (Best Model) - Loss: 11.6185 - Accuracy: 0.8485 - F1: 0.8390
sub_11:Test (Best Model) - Loss: 1.1977 - Accuracy: 0.9394 - F1: 0.9393
sub_12:Test (Best Model) - Loss: 8.5562 - Accuracy: 0.9091 - F1: 0.9060
sub_10:Test (Best Model) - Loss: 2.1929 - Accuracy: 0.9688 - F1: 0.9680
sub_11:Test (Best Model) - Loss: 0.5677 - Accuracy: 0.9394 - F1: 0.9393
sub_12:Test (Best Model) - Loss: 10.9622 - Accuracy: 0.7879 - F1: 0.7664
sub_10:Test (Best Model) - Loss: 1.8865 - Accuracy: 0.9688 - F1: 0.9680
sub_11:Test (Best Model) - Loss: 0.9040 - Accuracy: 0.9091 - F1: 0.9088
sub_10:Test (Best Model) - Loss: 10.9416 - Accuracy: 0.9375 - F1: 0.9352
sub_12:Test (Best Model) - Loss: 17.1770 - Accuracy: 0.8788 - F1: 0.8731
sub_11:Test (Best Model) - Loss: 1.0754 - Accuracy: 0.9394 - F1: 0.9393
sub_12:Test (Best Model) - Loss: 0.9489 - Accuracy: 0.7500 - F1: 0.7490
sub_10:Test (Best Model) - Loss: 3.0501 - Accuracy: 0.9394 - F1: 0.9380
sub_11:Test (Best Model) - Loss: 0.2207 - Accuracy: 0.9394 - F1: 0.9380
sub_12:Test (Best Model) - Loss: 0.4556 - Accuracy: 0.8750 - F1: 0.8750
sub_10:Test (Best Model) - Loss: 0.0208 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.1623 - Accuracy: 0.9394 - F1: 0.9380
sub_12:Test (Best Model) - Loss: 5.4383 - Accuracy: 0.8438 - F1: 0.8398
sub_10:Test (Best Model) - Loss: 0.0044 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.9266 - Accuracy: 0.9375 - F1: 0.9373
sub_11:Test (Best Model) - Loss: 0.3616 - Accuracy: 0.9394 - F1: 0.9380
sub_10:Test (Best Model) - Loss: 0.0933 - Accuracy: 0.9697 - F1: 0.9692
sub_12:Test (Best Model) - Loss: 0.2301 - Accuracy: 0.9375 - F1: 0.9373
sub_11:Test (Best Model) - Loss: 0.3262 - Accuracy: 0.9697 - F1: 0.9692
sub_10:Test (Best Model) - Loss: 17.6254 - Accuracy: 0.9091 - F1: 0.9060
sub_11:Test (Best Model) - Loss: 0.1199 - Accuracy: 0.9394 - F1: 0.9389
sub_13:Test (Best Model) - Loss: 1.4096 - Accuracy: 0.9375 - F1: 0.9352
sub_14:Test (Best Model) - Loss: 23.6652 - Accuracy: 0.7500 - F1: 0.7091
sub_15:Test (Best Model) - Loss: 1.5306 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 24.0048 - Accuracy: 0.7188 - F1: 0.6632
sub_13:Test (Best Model) - Loss: 1.1425 - Accuracy: 0.9375 - F1: 0.9352
sub_15:Test (Best Model) - Loss: 1.9073 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 6.9094 - Accuracy: 0.9062 - F1: 0.9015
sub_14:Test (Best Model) - Loss: 69.0444 - Accuracy: 0.7188 - F1: 0.6632
sub_15:Test (Best Model) - Loss: 2.6171 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 1.3773 - Accuracy: 0.9375 - F1: 0.9352
sub_14:Test (Best Model) - Loss: 92.8961 - Accuracy: 0.5938 - F1: 0.4340
sub_15:Test (Best Model) - Loss: 1.7377 - Accuracy: 0.9375 - F1: 0.9352
sub_14:Test (Best Model) - Loss: 96.2416 - Accuracy: 0.5938 - F1: 0.4340
sub_15:Test (Best Model) - Loss: 4.7146 - Accuracy: 0.9375 - F1: 0.9352
sub_13:Test (Best Model) - Loss: 1.8810 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 6.0132 - Accuracy: 0.9697 - F1: 0.9692
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_14: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_13:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.0018 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.7085 - Accuracy: 0.9697 - F1: 0.9692
sub_15:Test (Best Model) - Loss: 0.0043 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.9102 - Accuracy: 0.9091 - F1: 0.9060
sub_14:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 15.2751 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 0.0259 - Accuracy: 0.9697 - F1: 0.9692
sub_14:Test (Best Model) - Loss: 4.8340 - Accuracy: 0.8438 - F1: 0.8303
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 236.3960 - Accuracy: 0.8750 - F1: 0.8704
sub_14:Test (Best Model) - Loss: 3.3998 - Accuracy: 0.8750 - F1: 0.8667
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 1004.4888 - Accuracy: 0.8125 - F1: 0.8000
sub_14:Test (Best Model) - Loss: 0.5547 - Accuracy: 0.9375 - F1: 0.9352
sub_15:Test (Best Model) - Loss: 1.3083 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 1465.7281 - Accuracy: 0.7500 - F1: 0.7229
sub_14:Test (Best Model) - Loss: 0.5391 - Accuracy: 0.9688 - F1: 0.9680
sub_15:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 778.6564 - Accuracy: 0.8438 - F1: 0.8359
sub_14:Test (Best Model) - Loss: 3.2829 - Accuracy: 0.9062 - F1: 0.9015
sub_13:Test (Best Model) - Loss: 232.2879 - Accuracy: 0.8438 - F1: 0.8359
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0075 - Accuracy: 1.0000 - F1: 1.0000
sub_16: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_17:Test (Best Model) - Loss: 0.0021 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0033 - Accuracy: 1.0000 - F1: 1.0000
sub_16: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_17:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0038 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 8.9090 - Accuracy: 0.9697 - F1: 0.9692
sub_16:Test (Best Model) - Loss: 0.0012 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0013 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.7387 - Accuracy: 0.9697 - F1: 0.9696
sub_16:Test (Best Model) - Loss: 0.0621 - Accuracy: 0.9688 - F1: 0.9685
sub_18:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 1.0358 - Accuracy: 0.9697 - F1: 0.9696
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.9328 - Accuracy: 0.9697 - F1: 0.9696
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 5.2652 - Accuracy: 0.8788 - F1: 0.8731
sub_18:Test (Best Model) - Loss: 7.8231 - Accuracy: 0.8750 - F1: 0.8667
sub_16:Test (Best Model) - Loss: 0.0016 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.9843 - Accuracy: 0.9394 - F1: 0.9389
sub_18:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 46.1313 - Accuracy: 0.9062 - F1: 0.9039
sub_16:Test (Best Model) - Loss: 0.0042 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 5.8119 - Accuracy: 0.9375 - F1: 0.9352
sub_18:Test (Best Model) - Loss: 0.0203 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 77.7622 - Accuracy: 0.8125 - F1: 0.7922
sub_17:Test (Best Model) - Loss: 16.3031 - Accuracy: 0.8750 - F1: 0.8704
sub_17:Test (Best Model) - Loss: 10.6876 - Accuracy: 0.9062 - F1: 0.9039
sub_16:Test (Best Model) - Loss: 79.0119 - Accuracy: 0.7812 - F1: 0.7519
sub_16:Test (Best Model) - Loss: 8.2951 - Accuracy: 0.8750 - F1: 0.8667
sub_17:Test (Best Model) - Loss: 31.0947 - Accuracy: 0.9062 - F1: 0.9039
sub_16:Test (Best Model) - Loss: 16.1924 - Accuracy: 0.8438 - F1: 0.8303
sub_16:Test (Best Model) - Loss: 65.2461 - Accuracy: 0.8125 - F1: 0.7922
sub_19:Test (Best Model) - Loss: 0.1246 - Accuracy: 0.9688 - F1: 0.9685
sub_21:Test (Best Model) - Loss: 11.3834 - Accuracy: 0.7812 - F1: 0.7519
sub_20:Test (Best Model) - Loss: 0.1070 - Accuracy: 0.9688 - F1: 0.9680
sub_19:Test (Best Model) - Loss: 0.1465 - Accuracy: 0.9375 - F1: 0.9365
sub_20:Test (Best Model) - Loss: 0.3667 - Accuracy: 0.9688 - F1: 0.9680
sub_21:Test (Best Model) - Loss: 12.8031 - Accuracy: 0.8125 - F1: 0.7922
sub_19:Test (Best Model) - Loss: 3.4417 - Accuracy: 0.7500 - F1: 0.7229
sub_20:Test (Best Model) - Loss: 0.5131 - Accuracy: 0.9688 - F1: 0.9680
sub_21:Test (Best Model) - Loss: 7.2360 - Accuracy: 0.9375 - F1: 0.9352
sub_19:Test (Best Model) - Loss: 0.0197 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 8.4790 - Accuracy: 0.9062 - F1: 0.9015
sub_19:Test (Best Model) - Loss: 9.2075 - Accuracy: 0.7812 - F1: 0.7625
sub_20:Test (Best Model) - Loss: 0.6635 - Accuracy: 0.9375 - F1: 0.9365
sub_19:Test (Best Model) - Loss: 0.0133 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 9.4407 - Accuracy: 0.7812 - F1: 0.7519
sub_20:Test (Best Model) - Loss: 12.0920 - Accuracy: 0.8750 - F1: 0.8667
sub_19:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.0901 - Accuracy: 0.9688 - F1: 0.9680
sub_21:Test (Best Model) - Loss: 6.8838 - Accuracy: 0.9375 - F1: 0.9373
sub_19:Test (Best Model) - Loss: 0.2664 - Accuracy: 0.9375 - F1: 0.9373
sub_20:Test (Best Model) - Loss: 0.0017 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.0015 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 2.3955 - Accuracy: 0.9688 - F1: 0.9680
sub_20:Test (Best Model) - Loss: 0.0285 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.3556 - Accuracy: 0.9062 - F1: 0.9062
sub_20:Test (Best Model) - Loss: 0.1842 - Accuracy: 0.9375 - F1: 0.9352
sub_21:Test (Best Model) - Loss: 6.8786 - Accuracy: 0.8750 - F1: 0.8745
sub_19:Test (Best Model) - Loss: 122.7249 - Accuracy: 0.8750 - F1: 0.8667
sub_20:Test (Best Model) - Loss: 0.3538 - Accuracy: 0.9688 - F1: 0.9680
sub_20:Test (Best Model) - Loss: 8.6878 - Accuracy: 0.8182 - F1: 0.8180
sub_19:Test (Best Model) - Loss: 87.6410 - Accuracy: 0.8750 - F1: 0.8667
sub_21:Test (Best Model) - Loss: 13.8850 - Accuracy: 0.9062 - F1: 0.9054
sub_20:Test (Best Model) - Loss: 0.4681 - Accuracy: 0.9091 - F1: 0.9060
sub_19:Test (Best Model) - Loss: 32.7612 - Accuracy: 0.8750 - F1: 0.8667
sub_20:Test (Best Model) - Loss: 3.1941 - Accuracy: 0.8182 - F1: 0.8167
sub_21:Test (Best Model) - Loss: 1.4073 - Accuracy: 0.9375 - F1: 0.9365
sub_20:Test (Best Model) - Loss: 0.8757 - Accuracy: 0.9091 - F1: 0.9088
sub_21:Test (Best Model) - Loss: 1.3698 - Accuracy: 0.5938 - F1: 0.5733
sub_19:Test (Best Model) - Loss: 52.5139 - Accuracy: 0.8750 - F1: 0.8667
sub_20:Test (Best Model) - Loss: 20.4922 - Accuracy: 0.6364 - F1: 0.6360
sub_21:Test (Best Model) - Loss: 2.4397 - Accuracy: 0.6250 - F1: 0.6113
sub_19:Test (Best Model) - Loss: 44.6153 - Accuracy: 0.8750 - F1: 0.8667
sub_21:Test (Best Model) - Loss: 5.1665 - Accuracy: 0.5625 - F1: 0.5556
sub_21:Test (Best Model) - Loss: 1.5425 - Accuracy: 0.6250 - F1: 0.6113
sub_21:Test (Best Model) - Loss: 6.6397 - Accuracy: 0.5938 - F1: 0.5836
sub_24:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.2882 - Accuracy: 0.9688 - F1: 0.9685
sub_24:Test (Best Model) - Loss: 0.5027 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.1930 - Accuracy: 0.9697 - F1: 0.9692
sub_24:Test (Best Model) - Loss: 0.0964 - Accuracy: 0.9688 - F1: 0.9680
sub_22:Test (Best Model) - Loss: 0.4206 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.1376 - Accuracy: 0.9697 - F1: 0.9692
sub_24:Test (Best Model) - Loss: 0.0024 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.2937 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.0649 - Accuracy: 0.9697 - F1: 0.9692
sub_24:Test (Best Model) - Loss: 2.5763 - Accuracy: 0.9375 - F1: 0.9352
sub_23:Test (Best Model) - Loss: 0.3967 - Accuracy: 0.7576 - F1: 0.7381
sub_22:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 9.5342 - Accuracy: 0.9375 - F1: 0.9365
sub_22:Test (Best Model) - Loss: 37.8400 - Accuracy: 0.9062 - F1: 0.9015
sub_23:Test (Best Model) - Loss: 0.1557 - Accuracy: 0.9697 - F1: 0.9692
sub_24:Test (Best Model) - Loss: 20.6368 - Accuracy: 0.9375 - F1: 0.9365
sub_22:Test (Best Model) - Loss: 0.4204 - Accuracy: 0.6970 - F1: 0.6827
sub_23:Test (Best Model) - Loss: 8.1231 - Accuracy: 0.6562 - F1: 0.6476
sub_23:Test (Best Model) - Loss: 1.8987 - Accuracy: 0.7500 - F1: 0.7460
sub_22:Test (Best Model) - Loss: 0.3780 - Accuracy: 0.6667 - F1: 0.6553
sub_24:Test (Best Model) - Loss: 17.8607 - Accuracy: 0.9062 - F1: 0.9039
sub_22:Test (Best Model) - Loss: 0.9420 - Accuracy: 0.6364 - F1: 0.6278
sub_24:Test (Best Model) - Loss: 9.2523 - Accuracy: 0.9375 - F1: 0.9365
sub_23:Test (Best Model) - Loss: 2.1568 - Accuracy: 0.5938 - F1: 0.5589
sub_24:Test (Best Model) - Loss: 8.2420 - Accuracy: 0.9375 - F1: 0.9365
sub_22:Test (Best Model) - Loss: 0.6809 - Accuracy: 0.6667 - F1: 0.6617
sub_23:Test (Best Model) - Loss: 1.4680 - Accuracy: 0.7812 - F1: 0.7793
sub_24:Test (Best Model) - Loss: 0.0217 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 1.1201 - Accuracy: 0.9688 - F1: 0.9680
sub_22:Test (Best Model) - Loss: 6.9436 - Accuracy: 0.8788 - F1: 0.8759
sub_23:Test (Best Model) - Loss: 1.6728 - Accuracy: 0.6250 - F1: 0.6113
sub_24:Test (Best Model) - Loss: 2.0574 - Accuracy: 0.9375 - F1: 0.9352
sub_23:Test (Best Model) - Loss: 1.5886 - Accuracy: 0.9091 - F1: 0.9060
sub_22:Test (Best Model) - Loss: 0.7665 - Accuracy: 0.9375 - F1: 0.9373
sub_24:Test (Best Model) - Loss: 0.1601 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 9.9263 - Accuracy: 0.7576 - F1: 0.7273
sub_22:Test (Best Model) - Loss: 0.0711 - Accuracy: 0.9688 - F1: 0.9680
sub_24:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 14.2216 - Accuracy: 0.8182 - F1: 0.8036
sub_22:Test (Best Model) - Loss: 0.0197 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.2247 - Accuracy: 0.8125 - F1: 0.7922
sub_23:Test (Best Model) - Loss: 9.7399 - Accuracy: 0.8182 - F1: 0.8036
sub_22:Test (Best Model) - Loss: 0.3063 - Accuracy: 0.8750 - F1: 0.8667
sub_23:Test (Best Model) - Loss: 95.9508 - Accuracy: 0.6970 - F1: 0.6413
sub_27:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.1238 - Accuracy: 0.9091 - F1: 0.9091
sub_25:Test (Best Model) - Loss: 5.1587 - Accuracy: 0.9091 - F1: 0.9060
sub_27:Test (Best Model) - Loss: 0.0021 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.1282 - Accuracy: 0.9394 - F1: 0.9393
sub_25:Test (Best Model) - Loss: 5.2174 - Accuracy: 0.9091 - F1: 0.9060
sub_25:Test (Best Model) - Loss: 12.8014 - Accuracy: 0.8788 - F1: 0.8731
sub_26:Test (Best Model) - Loss: 1.0352 - Accuracy: 0.8788 - F1: 0.8787
sub_27:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 11.4783 - Accuracy: 0.8788 - F1: 0.8731
sub_26:Test (Best Model) - Loss: 0.8664 - Accuracy: 0.8788 - F1: 0.8787
sub_27:Test (Best Model) - Loss: 8.9090 - Accuracy: 0.9697 - F1: 0.9692
sub_26:Test (Best Model) - Loss: 0.0708 - Accuracy: 0.9697 - F1: 0.9696
sub_27:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 1.2994 - Accuracy: 0.9394 - F1: 0.9380
sub_26:Test (Best Model) - Loss: 0.0816 - Accuracy: 0.9375 - F1: 0.9373
sub_27:Test (Best Model) - Loss: 0.7387 - Accuracy: 0.9697 - F1: 0.9696
sub_26:Test (Best Model) - Loss: 0.0709 - Accuracy: 0.9688 - F1: 0.9685
sub_25:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 1.0358 - Accuracy: 0.9697 - F1: 0.9696
sub_25:Test (Best Model) - Loss: 0.0007 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.1018 - Accuracy: 0.9375 - F1: 0.9373
sub_27:Test (Best Model) - Loss: 0.9328 - Accuracy: 0.9697 - F1: 0.9696
sub_25:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.1055 - Accuracy: 0.9375 - F1: 0.9373
sub_27:Test (Best Model) - Loss: 5.2652 - Accuracy: 0.8788 - F1: 0.8731
sub_25:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.0230 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.9843 - Accuracy: 0.9394 - F1: 0.9389
sub_25:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 7.1235 - Accuracy: 0.9375 - F1: 0.9352
sub_27:Test (Best Model) - Loss: 46.1313 - Accuracy: 0.9062 - F1: 0.9039
sub_25:Test (Best Model) - Loss: 1.0184 - Accuracy: 0.9688 - F1: 0.9680
sub_26:Test (Best Model) - Loss: 18.0474 - Accuracy: 0.9375 - F1: 0.9352
sub_27:Test (Best Model) - Loss: 5.8119 - Accuracy: 0.9375 - F1: 0.9352
sub_25:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 1.3472 - Accuracy: 0.9375 - F1: 0.9373
sub_27:Test (Best Model) - Loss: 16.3031 - Accuracy: 0.8750 - F1: 0.8704
sub_26:Test (Best Model) - Loss: 6.8228 - Accuracy: 0.9375 - F1: 0.9352
sub_25:Test (Best Model) - Loss: 1.3561 - Accuracy: 0.9375 - F1: 0.9373
sub_27:Test (Best Model) - Loss: 10.6876 - Accuracy: 0.9062 - F1: 0.9039
sub_26:Test (Best Model) - Loss: 10.1881 - Accuracy: 0.9375 - F1: 0.9352
sub_25:Test (Best Model) - Loss: 0.9768 - Accuracy: 0.9375 - F1: 0.9365
sub_26:Test (Best Model) - Loss: 9.1204 - Accuracy: 0.9375 - F1: 0.9352
sub_27:Test (Best Model) - Loss: 31.0947 - Accuracy: 0.9062 - F1: 0.9039
sub_29:Test (Best Model) - Loss: 5.2707 - Accuracy: 0.9375 - F1: 0.9352
sub_28:Test (Best Model) - Loss: 0.5897 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 12.4610 - Accuracy: 0.7500 - F1: 0.7091
sub_28:Test (Best Model) - Loss: 0.2502 - Accuracy: 0.9688 - F1: 0.9680
sub_29:Test (Best Model) - Loss: 9.4624 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 0.0045 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.0139 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 55.1005 - Accuracy: 0.8750 - F1: 0.8667
sub_28:Test (Best Model) - Loss: 0.0122 - 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: 2.5674 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.6247 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 0.0395 - Accuracy: 0.9688 - F1: 0.9680
sub_28:Test (Best Model) - Loss: 0.4642 - Accuracy: 0.9375 - F1: 0.9352
sub_28:Test (Best Model) - Loss: 0.7127 - Accuracy: 0.9375 - F1: 0.9365
sub_29:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.6647 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 0.5965 - Accuracy: 0.9688 - F1: 0.9680
sub_28:Test (Best Model) - Loss: 0.1645 - Accuracy: 0.9688 - F1: 0.9680
sub_28:Test (Best Model) - Loss: 271.8317 - Accuracy: 0.4375 - F1: 0.3043
sub_29:Test (Best Model) - Loss: 0.4181 - Accuracy: 0.9394 - F1: 0.9393
sub_28:Test (Best Model) - Loss: 216.4394 - Accuracy: 0.4375 - F1: 0.3043
sub_29:Test (Best Model) - Loss: 0.0287 - Accuracy: 0.9697 - F1: 0.9696
sub_29:Test (Best Model) - Loss: 9.6466 - Accuracy: 0.9697 - F1: 0.9692
sub_28:Test (Best Model) - Loss: 34.2715 - Accuracy: 0.5938 - F1: 0.5836
sub_29:Test (Best Model) - Loss: 0.0443 - Accuracy: 0.9697 - F1: 0.9696
sub_28:Test (Best Model) - Loss: 148.7413 - Accuracy: 0.4375 - F1: 0.3043
sub_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 64.4176 - Accuracy: 0.4375 - F1: 0.3043

=== Summary Results ===

acc: 91.75 ± 5.37
F1: 91.21 ± 6.01
acc-in: 96.36 ± 2.47
F1-in: 96.11 ± 2.77
runing time: 1136.00 seconds
