lr: 0.001
sub_1:Test (Best Model) - Loss: 1.8609 - Accuracy: 0.9062 - F1: 0.9039
sub_1:Test (Best Model) - Loss: 2.1876 - Accuracy: 0.9062 - F1: 0.9015
sub_1:Test (Best Model) - Loss: 0.9685 - Accuracy: 0.9062 - F1: 0.9054
sub_1:Test (Best Model) - Loss: 0.8389 - Accuracy: 0.9688 - F1: 0.9680
sub_1:Test (Best Model) - Loss: 5.3650 - Accuracy: 0.8125 - F1: 0.7922
sub_1:Test (Best Model) - Loss: 1.3010 - Accuracy: 0.9394 - F1: 0.9380
sub_1:Test (Best Model) - Loss: 3.1342 - Accuracy: 0.8485 - F1: 0.8390
sub_1:Test (Best Model) - Loss: 1.8025 - Accuracy: 0.9091 - F1: 0.9060
sub_1:Test (Best Model) - Loss: 3.1572 - Accuracy: 0.9394 - F1: 0.9380
sub_1:Test (Best Model) - Loss: 2.2618 - Accuracy: 0.9091 - F1: 0.9060
sub_1:Test (Best Model) - Loss: 0.9153 - Accuracy: 0.9375 - F1: 0.9352
sub_1:Test (Best Model) - Loss: 2.7862 - Accuracy: 0.9062 - F1: 0.9039
sub_1:Test (Best Model) - Loss: 1.0994 - Accuracy: 0.9688 - F1: 0.9680
sub_1:Test (Best Model) - Loss: 5.4211 - Accuracy: 0.7188 - F1: 0.6632
sub_1:Test (Best Model) - Loss: 3.9251 - Accuracy: 0.8750 - F1: 0.8704
sub_2:Test (Best Model) - Loss: 6.0762 - Accuracy: 0.6364 - F1: 0.6192
sub_2:Test (Best Model) - Loss: 8.5648 - Accuracy: 0.6970 - F1: 0.6898
sub_2:Test (Best Model) - Loss: 11.0734 - Accuracy: 0.6970 - F1: 0.6726
sub_2:Test (Best Model) - Loss: 11.6359 - Accuracy: 0.6667 - F1: 0.5935
sub_2:Test (Best Model) - Loss: 6.5007 - Accuracy: 0.7576 - F1: 0.7519
sub_2:Test (Best Model) - Loss: 7.4888 - Accuracy: 0.5312 - F1: 0.5308
sub_2:Test (Best Model) - Loss: 3.8880 - Accuracy: 0.5938 - F1: 0.5934
sub_2:Test (Best Model) - Loss: 2.4033 - Accuracy: 0.7188 - F1: 0.7117
sub_2:Test (Best Model) - Loss: 1.4688 - Accuracy: 0.8438 - F1: 0.8359
sub_2:Test (Best Model) - Loss: 3.4663 - Accuracy: 0.7188 - F1: 0.7117
sub_2:Test (Best Model) - Loss: 9.5339 - Accuracy: 0.6364 - F1: 0.6278
sub_2:Test (Best Model) - Loss: 5.5046 - Accuracy: 0.6667 - F1: 0.6553
sub_2:Test (Best Model) - Loss: 5.1855 - Accuracy: 0.7273 - F1: 0.6997
sub_2:Test (Best Model) - Loss: 8.8137 - Accuracy: 0.7576 - F1: 0.7556
sub_2:Test (Best Model) - Loss: 2.7724 - Accuracy: 0.7576 - F1: 0.7519
sub_3:Test (Best Model) - Loss: 13.4191 - Accuracy: 0.5312 - F1: 0.5271
sub_3:Test (Best Model) - Loss: 8.0389 - Accuracy: 0.5312 - F1: 0.5308
sub_3:Test (Best Model) - Loss: 10.3380 - Accuracy: 0.5938 - F1: 0.5589
sub_3:Test (Best Model) - Loss: 6.3179 - Accuracy: 0.5938 - F1: 0.5733
sub_3:Test (Best Model) - Loss: 5.5182 - Accuracy: 0.5938 - F1: 0.5836
sub_3:Test (Best Model) - Loss: 9.5132 - Accuracy: 0.5152 - F1: 0.3889
sub_3:Test (Best Model) - Loss: 9.2717 - Accuracy: 0.4242 - F1: 0.4221
sub_3:Test (Best Model) - Loss: 7.0762 - Accuracy: 0.4242 - F1: 0.3883
sub_3:Test (Best Model) - Loss: 6.8418 - Accuracy: 0.5758 - F1: 0.5754
sub_3:Test (Best Model) - Loss: 9.5527 - Accuracy: 0.5152 - F1: 0.4762
sub_3:Test (Best Model) - Loss: 16.7808 - Accuracy: 0.3636 - F1: 0.3239
sub_3:Test (Best Model) - Loss: 6.8868 - Accuracy: 0.6667 - F1: 0.6617
sub_3:Test (Best Model) - Loss: 11.2098 - Accuracy: 0.4545 - F1: 0.4107
sub_3:Test (Best Model) - Loss: 17.8081 - Accuracy: 0.5758 - F1: 0.5227
sub_3:Test (Best Model) - Loss: 12.4187 - Accuracy: 0.4848 - F1: 0.4328
sub_4:Test (Best Model) - Loss: 4.5337 - Accuracy: 0.7576 - F1: 0.7462
sub_4:Test (Best Model) - Loss: 0.7313 - Accuracy: 0.9394 - F1: 0.9380
sub_4:Test (Best Model) - Loss: 3.8077 - Accuracy: 0.8788 - F1: 0.8731
sub_4:Test (Best Model) - Loss: 3.1749 - Accuracy: 0.9394 - F1: 0.9380
sub_4:Test (Best Model) - Loss: 2.0794 - Accuracy: 0.9394 - F1: 0.9380
sub_4:Test (Best Model) - Loss: 1.6335 - Accuracy: 0.8788 - F1: 0.8731
sub_4:Test (Best Model) - Loss: 1.8928 - Accuracy: 0.8182 - F1: 0.8139
sub_4:Test (Best Model) - Loss: 2.3864 - Accuracy: 0.9091 - F1: 0.9077
sub_4:Test (Best Model) - Loss: 5.4169 - Accuracy: 0.8182 - F1: 0.8036
sub_4:Test (Best Model) - Loss: 4.2250 - Accuracy: 0.8182 - F1: 0.8167
sub_4:Test (Best Model) - Loss: 4.8172 - Accuracy: 0.6061 - F1: 0.6002
sub_4:Test (Best Model) - Loss: 2.7488 - Accuracy: 0.7879 - F1: 0.7871
sub_4:Test (Best Model) - Loss: 3.7090 - Accuracy: 0.8485 - F1: 0.8479
sub_4:Test (Best Model) - Loss: 8.6366 - Accuracy: 0.6364 - F1: 0.6192
sub_4:Test (Best Model) - Loss: 5.3356 - Accuracy: 0.7273 - F1: 0.7232
sub_5:Test (Best Model) - Loss: 16.8642 - Accuracy: 0.4375 - F1: 0.4170
sub_5:Test (Best Model) - Loss: 15.4491 - Accuracy: 0.5312 - F1: 0.5195
sub_5:Test (Best Model) - Loss: 8.2868 - Accuracy: 0.4688 - F1: 0.4682
sub_5:Test (Best Model) - Loss: 12.0135 - Accuracy: 0.6875 - F1: 0.6761
sub_5:Test (Best Model) - Loss: 16.0049 - Accuracy: 0.4688 - F1: 0.4231
sub_5:Test (Best Model) - Loss: 6.3477 - Accuracy: 0.7812 - F1: 0.7703
sub_5:Test (Best Model) - Loss: 7.1141 - Accuracy: 0.5000 - F1: 0.4921
sub_5:Test (Best Model) - Loss: 6.5982 - Accuracy: 0.6250 - F1: 0.6235
sub_5:Test (Best Model) - Loss: 3.3414 - Accuracy: 0.7188 - F1: 0.7117
sub_5:Test (Best Model) - Loss: 5.1101 - Accuracy: 0.7500 - F1: 0.7333
sub_5:Test (Best Model) - Loss: 6.0887 - Accuracy: 0.6562 - F1: 0.6267
sub_5:Test (Best Model) - Loss: 8.2660 - Accuracy: 0.6250 - F1: 0.6235
sub_5:Test (Best Model) - Loss: 10.4531 - Accuracy: 0.5625 - F1: 0.5333
sub_5:Test (Best Model) - Loss: 14.6462 - Accuracy: 0.6562 - F1: 0.6390
sub_5:Test (Best Model) - Loss: 15.7147 - Accuracy: 0.5000 - F1: 0.4921
sub_6:Test (Best Model) - Loss: 6.3483 - Accuracy: 0.6250 - F1: 0.6000
sub_6:Test (Best Model) - Loss: 22.0304 - Accuracy: 0.4375 - F1: 0.4170
sub_6:Test (Best Model) - Loss: 7.1985 - Accuracy: 0.5312 - F1: 0.5308
sub_6:Test (Best Model) - Loss: 10.6944 - Accuracy: 0.5312 - F1: 0.5195
sub_6:Test (Best Model) - Loss: 6.4252 - Accuracy: 0.7188 - F1: 0.6811
sub_6:Test (Best Model) - Loss: 8.1174 - Accuracy: 0.6061 - F1: 0.5815
sub_6:Test (Best Model) - Loss: 9.9261 - Accuracy: 0.5455 - F1: 0.5438
sub_6:Test (Best Model) - Loss: 4.0864 - Accuracy: 0.6970 - F1: 0.6898
sub_6:Test (Best Model) - Loss: 20.8009 - Accuracy: 0.5758 - F1: 0.4225
sub_6:Test (Best Model) - Loss: 9.3036 - Accuracy: 0.6364 - F1: 0.5696
sub_6:Test (Best Model) - Loss: 14.3671 - Accuracy: 0.4545 - F1: 0.3125
sub_6:Test (Best Model) - Loss: 6.1607 - Accuracy: 0.6364 - F1: 0.5417
sub_6:Test (Best Model) - Loss: 4.4016 - Accuracy: 0.7273 - F1: 0.6997
sub_6:Test (Best Model) - Loss: 4.7752 - Accuracy: 0.6061 - F1: 0.5926
sub_6:Test (Best Model) - Loss: 3.2380 - Accuracy: 0.7879 - F1: 0.7664
sub_7:Test (Best Model) - Loss: 3.7597 - Accuracy: 0.5938 - F1: 0.5589
sub_7:Test (Best Model) - Loss: 7.4718 - Accuracy: 0.6250 - F1: 0.6000
sub_7:Test (Best Model) - Loss: 7.7610 - Accuracy: 0.4375 - F1: 0.4170
sub_7:Test (Best Model) - Loss: 6.4961 - Accuracy: 0.7188 - F1: 0.7046
sub_7:Test (Best Model) - Loss: 6.9870 - Accuracy: 0.6562 - F1: 0.6532
sub_7:Test (Best Model) - Loss: 13.5700 - Accuracy: 0.5000 - F1: 0.5000
sub_7:Test (Best Model) - Loss: 7.6945 - Accuracy: 0.6562 - F1: 0.6476
sub_7:Test (Best Model) - Loss: 6.2482 - Accuracy: 0.5312 - F1: 0.4910
sub_7:Test (Best Model) - Loss: 9.6810 - Accuracy: 0.5625 - F1: 0.5625
sub_7:Test (Best Model) - Loss: 6.4109 - Accuracy: 0.6562 - F1: 0.6102
sub_7:Test (Best Model) - Loss: 8.2158 - Accuracy: 0.5938 - F1: 0.5733
sub_7:Test (Best Model) - Loss: 6.4195 - Accuracy: 0.5625 - F1: 0.5333
sub_7:Test (Best Model) - Loss: 9.3824 - Accuracy: 0.4688 - F1: 0.4682
sub_7:Test (Best Model) - Loss: 8.8561 - Accuracy: 0.6562 - F1: 0.6559
sub_7:Test (Best Model) - Loss: 12.2861 - Accuracy: 0.5000 - F1: 0.4818
sub_8:Test (Best Model) - Loss: 10.0558 - Accuracy: 0.7500 - F1: 0.7091
sub_8:Test (Best Model) - Loss: 4.6639 - Accuracy: 0.7500 - F1: 0.7333
sub_8:Test (Best Model) - Loss: 6.5023 - Accuracy: 0.8125 - F1: 0.7922
sub_8:Test (Best Model) - Loss: 5.6064 - Accuracy: 0.7500 - F1: 0.7229
sub_8:Test (Best Model) - Loss: 9.2487 - Accuracy: 0.7188 - F1: 0.6811
sub_8:Test (Best Model) - Loss: 4.8437 - Accuracy: 0.7812 - F1: 0.7519
sub_8:Test (Best Model) - Loss: 7.6121 - Accuracy: 0.7812 - F1: 0.7519
sub_8:Test (Best Model) - Loss: 4.7707 - Accuracy: 0.7812 - F1: 0.7519
sub_8:Test (Best Model) - Loss: 9.2688 - Accuracy: 0.7812 - F1: 0.7625
sub_8:Test (Best Model) - Loss: 9.4687 - Accuracy: 0.7500 - F1: 0.7091
sub_8:Test (Best Model) - Loss: 3.9284 - Accuracy: 0.7812 - F1: 0.7793
sub_8:Test (Best Model) - Loss: 3.6945 - Accuracy: 0.7812 - F1: 0.7793
sub_8:Test (Best Model) - Loss: 5.9621 - Accuracy: 0.7500 - F1: 0.7091
sub_8:Test (Best Model) - Loss: 1.6696 - Accuracy: 0.9375 - F1: 0.9352
sub_8:Test (Best Model) - Loss: 1.2528 - Accuracy: 0.9062 - F1: 0.9015
sub_9:Test (Best Model) - Loss: 5.4262 - Accuracy: 0.7188 - F1: 0.6632
sub_9:Test (Best Model) - Loss: 1.4845 - Accuracy: 0.9062 - F1: 0.9054
sub_9:Test (Best Model) - Loss: 0.6969 - Accuracy: 0.9062 - F1: 0.9015
sub_9:Test (Best Model) - Loss: 1.8536 - Accuracy: 0.9062 - F1: 0.9015
sub_9:Test (Best Model) - Loss: 8.4428 - Accuracy: 0.8750 - F1: 0.8667
sub_9:Test (Best Model) - Loss: 3.6139 - Accuracy: 0.9062 - F1: 0.9015
sub_9:Test (Best Model) - Loss: 19.1775 - Accuracy: 0.6250 - F1: 0.6113
sub_9:Test (Best Model) - Loss: 5.3298 - Accuracy: 0.7812 - F1: 0.7703
sub_9:Test (Best Model) - Loss: 14.9299 - Accuracy: 0.8125 - F1: 0.8057
sub_9:Test (Best Model) - Loss: 14.1262 - Accuracy: 0.8125 - F1: 0.7922
sub_9:Test (Best Model) - Loss: 2.3260 - Accuracy: 0.8438 - F1: 0.8424
sub_9:Test (Best Model) - Loss: 6.4713 - Accuracy: 0.8125 - F1: 0.8095
sub_9:Test (Best Model) - Loss: 1.5119 - Accuracy: 0.9062 - F1: 0.9039
sub_9:Test (Best Model) - Loss: 11.0206 - Accuracy: 0.6562 - F1: 0.6532
sub_9:Test (Best Model) - Loss: 0.4883 - Accuracy: 0.9375 - F1: 0.9352
sub_10:Test (Best Model) - Loss: 5.8223 - Accuracy: 0.5312 - F1: 0.5195
sub_10:Test (Best Model) - Loss: 3.4034 - Accuracy: 0.7500 - F1: 0.7333
sub_10:Test (Best Model) - Loss: 3.2935 - Accuracy: 0.6875 - F1: 0.6863
sub_10:Test (Best Model) - Loss: 5.7581 - Accuracy: 0.6250 - F1: 0.5844
sub_10:Test (Best Model) - Loss: 4.7802 - Accuracy: 0.5625 - F1: 0.5466
sub_10:Test (Best Model) - Loss: 10.6019 - Accuracy: 0.6250 - F1: 0.6235
sub_10:Test (Best Model) - Loss: 6.4218 - Accuracy: 0.5625 - F1: 0.5466
sub_10:Test (Best Model) - Loss: 7.6976 - Accuracy: 0.6562 - F1: 0.6559
sub_10:Test (Best Model) - Loss: 9.9206 - Accuracy: 0.5938 - F1: 0.5733
sub_10:Test (Best Model) - Loss: 6.1521 - Accuracy: 0.7188 - F1: 0.7185
sub_10:Test (Best Model) - Loss: 13.6200 - Accuracy: 0.6061 - F1: 0.5815
sub_10:Test (Best Model) - Loss: 7.5835 - Accuracy: 0.5152 - F1: 0.5111
sub_10:Test (Best Model) - Loss: 3.0152 - Accuracy: 0.6667 - F1: 0.6617
sub_10:Test (Best Model) - Loss: 7.7400 - Accuracy: 0.6667 - F1: 0.6159
sub_10:Test (Best Model) - Loss: 7.0986 - Accuracy: 0.5758 - F1: 0.5417
sub_11:Test (Best Model) - Loss: 14.5250 - Accuracy: 0.4545 - F1: 0.4417
sub_11:Test (Best Model) - Loss: 9.0835 - Accuracy: 0.4242 - F1: 0.4242
sub_11:Test (Best Model) - Loss: 15.2445 - Accuracy: 0.5152 - F1: 0.4923
sub_11:Test (Best Model) - Loss: 9.6654 - Accuracy: 0.5758 - F1: 0.5558
sub_11:Test (Best Model) - Loss: 14.3059 - Accuracy: 0.4848 - F1: 0.4772
sub_11:Test (Best Model) - Loss: 5.8321 - Accuracy: 0.6667 - F1: 0.5935
sub_11:Test (Best Model) - Loss: 8.1168 - Accuracy: 0.5152 - F1: 0.4762
sub_11:Test (Best Model) - Loss: 5.9030 - Accuracy: 0.5455 - F1: 0.4762
sub_11:Test (Best Model) - Loss: 16.6794 - Accuracy: 0.5758 - F1: 0.4225
sub_11:Test (Best Model) - Loss: 10.3592 - Accuracy: 0.6061 - F1: 0.4850
sub_11:Test (Best Model) - Loss: 3.7716 - Accuracy: 0.7273 - F1: 0.7102
sub_11:Test (Best Model) - Loss: 5.6419 - Accuracy: 0.6970 - F1: 0.6413
sub_11:Test (Best Model) - Loss: 9.4032 - Accuracy: 0.5758 - F1: 0.4225
sub_11:Test (Best Model) - Loss: 4.9378 - Accuracy: 0.6667 - F1: 0.6553
sub_11:Test (Best Model) - Loss: 15.4795 - Accuracy: 0.5455 - F1: 0.3529
sub_12:Test (Best Model) - Loss: 9.3249 - Accuracy: 0.7500 - F1: 0.7091
sub_12:Test (Best Model) - Loss: 11.1581 - Accuracy: 0.5312 - F1: 0.3992
sub_12:Test (Best Model) - Loss: 5.0543 - Accuracy: 0.7812 - F1: 0.7625
sub_12:Test (Best Model) - Loss: 4.2787 - Accuracy: 0.8750 - F1: 0.8667
sub_12:Test (Best Model) - Loss: 3.4779 - Accuracy: 0.8438 - F1: 0.8303
sub_12:Test (Best Model) - Loss: 7.9653 - Accuracy: 0.6667 - F1: 0.5935
sub_12:Test (Best Model) - Loss: 9.7842 - Accuracy: 0.6667 - F1: 0.6159
sub_12:Test (Best Model) - Loss: 4.5853 - Accuracy: 0.7273 - F1: 0.6857
sub_12:Test (Best Model) - Loss: 6.4264 - Accuracy: 0.7273 - F1: 0.6857
sub_12:Test (Best Model) - Loss: 1.0227 - Accuracy: 0.9091 - F1: 0.9060
sub_12:Test (Best Model) - Loss: 7.5679 - Accuracy: 0.7500 - F1: 0.7091
sub_12:Test (Best Model) - Loss: 11.3675 - Accuracy: 0.6250 - F1: 0.6000
sub_12:Test (Best Model) - Loss: 7.7677 - Accuracy: 0.6875 - F1: 0.6825
sub_12:Test (Best Model) - Loss: 6.9903 - Accuracy: 0.8125 - F1: 0.8057
sub_12:Test (Best Model) - Loss: 10.3136 - Accuracy: 0.7188 - F1: 0.6632
sub_13:Test (Best Model) - Loss: 0.4850 - Accuracy: 0.9062 - F1: 0.9015
sub_13:Test (Best Model) - Loss: 3.2526 - Accuracy: 0.8438 - F1: 0.8398
sub_13:Test (Best Model) - Loss: 0.1501 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 0.4006 - Accuracy: 0.9375 - F1: 0.9365
sub_13:Test (Best Model) - Loss: 1.6259 - Accuracy: 0.8750 - F1: 0.8704
sub_13:Test (Best Model) - Loss: 9.6237 - Accuracy: 0.6970 - F1: 0.6413
sub_13:Test (Best Model) - Loss: 3.1972 - Accuracy: 0.9091 - F1: 0.9060
sub_13:Test (Best Model) - Loss: 5.4738 - Accuracy: 0.8485 - F1: 0.8485
sub_13:Test (Best Model) - Loss: 5.9999 - Accuracy: 0.7879 - F1: 0.7664
sub_13:Test (Best Model) - Loss: 1.8649 - Accuracy: 0.8182 - F1: 0.8096
sub_13:Test (Best Model) - Loss: 10.7821 - Accuracy: 0.6250 - F1: 0.6000
sub_13:Test (Best Model) - Loss: 2.5781 - Accuracy: 0.8438 - F1: 0.8303
sub_13:Test (Best Model) - Loss: 4.7757 - Accuracy: 0.7812 - F1: 0.7625
sub_13:Test (Best Model) - Loss: 5.1435 - Accuracy: 0.7188 - F1: 0.7117
sub_13:Test (Best Model) - Loss: 30.7418 - Accuracy: 0.4688 - F1: 0.3637
sub_14:Test (Best Model) - Loss: 7.1824 - Accuracy: 0.6875 - F1: 0.6825
sub_14:Test (Best Model) - Loss: 1.6372 - Accuracy: 0.8438 - F1: 0.8398
sub_14:Test (Best Model) - Loss: 8.4020 - Accuracy: 0.6562 - F1: 0.6559
sub_14:Test (Best Model) - Loss: 4.9086 - Accuracy: 0.7188 - F1: 0.7046
sub_14:Test (Best Model) - Loss: 3.7291 - Accuracy: 0.7500 - F1: 0.7333
sub_14:Test (Best Model) - Loss: 5.7169 - Accuracy: 0.6562 - F1: 0.5594
sub_14:Test (Best Model) - Loss: 2.9717 - Accuracy: 0.7188 - F1: 0.6632
sub_14:Test (Best Model) - Loss: 4.4036 - Accuracy: 0.7812 - F1: 0.7519
sub_14:Test (Best Model) - Loss: 3.2982 - Accuracy: 0.7812 - F1: 0.7625
sub_14:Test (Best Model) - Loss: 9.4627 - Accuracy: 0.6250 - F1: 0.5000
sub_14:Test (Best Model) - Loss: 5.8000 - Accuracy: 0.7500 - F1: 0.7091
sub_14:Test (Best Model) - Loss: 3.2369 - Accuracy: 0.7188 - F1: 0.6632
sub_14:Test (Best Model) - Loss: 7.8754 - Accuracy: 0.5938 - F1: 0.5393
sub_14:Test (Best Model) - Loss: 1.3909 - Accuracy: 0.8438 - F1: 0.8398
sub_14:Test (Best Model) - Loss: 4.6237 - Accuracy: 0.7812 - F1: 0.7519
sub_15:Test (Best Model) - Loss: 12.6986 - Accuracy: 0.7812 - F1: 0.7519
sub_15:Test (Best Model) - Loss: 7.6011 - Accuracy: 0.7188 - F1: 0.7046
sub_15:Test (Best Model) - Loss: 2.9010 - Accuracy: 0.9062 - F1: 0.9015
sub_15:Test (Best Model) - Loss: 5.3708 - Accuracy: 0.8125 - F1: 0.7922
sub_15:Test (Best Model) - Loss: 9.2148 - Accuracy: 0.6562 - F1: 0.6476
sub_15:Test (Best Model) - Loss: 5.1480 - Accuracy: 0.7188 - F1: 0.7185
sub_15:Test (Best Model) - Loss: 9.1921 - Accuracy: 0.6875 - F1: 0.6825
sub_15:Test (Best Model) - Loss: 6.6656 - Accuracy: 0.6250 - F1: 0.6235
sub_15:Test (Best Model) - Loss: 10.4117 - Accuracy: 0.7500 - F1: 0.7229
sub_15:Test (Best Model) - Loss: 15.9422 - Accuracy: 0.5625 - F1: 0.5466
sub_15:Test (Best Model) - Loss: 14.5348 - Accuracy: 0.5938 - F1: 0.5589
sub_15:Test (Best Model) - Loss: 7.8293 - Accuracy: 0.7188 - F1: 0.6946
sub_15:Test (Best Model) - Loss: 18.0505 - Accuracy: 0.4688 - F1: 0.3637
sub_15:Test (Best Model) - Loss: 16.8256 - Accuracy: 0.4375 - F1: 0.3766
sub_15:Test (Best Model) - Loss: 13.6037 - Accuracy: 0.4688 - F1: 0.4640
sub_16:Test (Best Model) - Loss: 10.3114 - Accuracy: 0.4375 - F1: 0.4286
sub_16:Test (Best Model) - Loss: 3.3826 - Accuracy: 0.5938 - F1: 0.5836
sub_16:Test (Best Model) - Loss: 5.3595 - Accuracy: 0.6562 - F1: 0.6476
sub_16:Test (Best Model) - Loss: 5.2820 - Accuracy: 0.6562 - F1: 0.6532
sub_16:Test (Best Model) - Loss: 6.0493 - Accuracy: 0.5938 - F1: 0.5836
sub_16:Test (Best Model) - Loss: 10.7604 - Accuracy: 0.6875 - F1: 0.6761
sub_16:Test (Best Model) - Loss: 6.3226 - Accuracy: 0.7812 - F1: 0.7793
sub_16:Test (Best Model) - Loss: 6.5190 - Accuracy: 0.7500 - F1: 0.7460
sub_16:Test (Best Model) - Loss: 10.5435 - Accuracy: 0.6875 - F1: 0.6863
sub_16:Test (Best Model) - Loss: 12.6010 - Accuracy: 0.5938 - F1: 0.5901
sub_16:Test (Best Model) - Loss: 15.3809 - Accuracy: 0.5312 - F1: 0.4386
sub_16:Test (Best Model) - Loss: 12.5705 - Accuracy: 0.5000 - F1: 0.4459
sub_16:Test (Best Model) - Loss: 6.5056 - Accuracy: 0.3750 - F1: 0.3725
sub_16:Test (Best Model) - Loss: 7.1466 - Accuracy: 0.4688 - F1: 0.4421
sub_16:Test (Best Model) - Loss: 13.2506 - Accuracy: 0.5312 - F1: 0.3469
sub_17:Test (Best Model) - Loss: 9.8574 - Accuracy: 0.5455 - F1: 0.5171
sub_17:Test (Best Model) - Loss: 8.0386 - Accuracy: 0.5455 - F1: 0.4762
sub_17:Test (Best Model) - Loss: 4.0619 - Accuracy: 0.6061 - F1: 0.5662
sub_17:Test (Best Model) - Loss: 6.1487 - Accuracy: 0.5758 - F1: 0.5658
sub_17:Test (Best Model) - Loss: 5.9484 - Accuracy: 0.5758 - F1: 0.5558
sub_17:Test (Best Model) - Loss: 11.3425 - Accuracy: 0.5152 - F1: 0.4762
sub_17:Test (Best Model) - Loss: 11.1663 - Accuracy: 0.4545 - F1: 0.4288
sub_17:Test (Best Model) - Loss: 10.1834 - Accuracy: 0.5152 - F1: 0.4545
sub_17:Test (Best Model) - Loss: 6.5697 - Accuracy: 0.5455 - F1: 0.5438
sub_17:Test (Best Model) - Loss: 3.8468 - Accuracy: 0.7879 - F1: 0.7746
sub_17:Test (Best Model) - Loss: 4.3864 - Accuracy: 0.6250 - F1: 0.6190
sub_17:Test (Best Model) - Loss: 12.6601 - Accuracy: 0.5000 - F1: 0.3816
sub_17:Test (Best Model) - Loss: 18.1252 - Accuracy: 0.4062 - F1: 0.3764
sub_17:Test (Best Model) - Loss: 13.6848 - Accuracy: 0.6875 - F1: 0.6537
sub_17:Test (Best Model) - Loss: 16.4473 - Accuracy: 0.4375 - F1: 0.4353
sub_18:Test (Best Model) - Loss: 6.9498 - Accuracy: 0.7879 - F1: 0.7847
sub_18:Test (Best Model) - Loss: 5.8489 - Accuracy: 0.7576 - F1: 0.7273
sub_18:Test (Best Model) - Loss: 1.3438 - Accuracy: 0.8485 - F1: 0.8462
sub_18:Test (Best Model) - Loss: 0.4700 - Accuracy: 0.9091 - F1: 0.9077
sub_18:Test (Best Model) - Loss: 2.3742 - Accuracy: 0.8788 - F1: 0.8787
sub_18:Test (Best Model) - Loss: 6.5608 - Accuracy: 0.7812 - F1: 0.7519
sub_18:Test (Best Model) - Loss: 2.8506 - Accuracy: 0.8125 - F1: 0.8057
sub_18:Test (Best Model) - Loss: 1.7569 - Accuracy: 0.8750 - F1: 0.8730
sub_18:Test (Best Model) - Loss: 4.7487 - Accuracy: 0.8438 - F1: 0.8359
sub_18:Test (Best Model) - Loss: 5.3595 - Accuracy: 0.7500 - F1: 0.7091
sub_18:Test (Best Model) - Loss: 0.7867 - Accuracy: 0.9688 - F1: 0.9680
sub_18:Test (Best Model) - Loss: 5.8899 - Accuracy: 0.8125 - F1: 0.7922
sub_18:Test (Best Model) - Loss: 2.5820 - Accuracy: 0.8438 - F1: 0.8424
sub_18:Test (Best Model) - Loss: 1.7938 - Accuracy: 0.9375 - F1: 0.9365
sub_18:Test (Best Model) - Loss: 2.5283 - Accuracy: 0.8750 - F1: 0.8704
sub_19:Test (Best Model) - Loss: 16.4277 - Accuracy: 0.3750 - F1: 0.3074
sub_19:Test (Best Model) - Loss: 4.9167 - Accuracy: 0.7500 - F1: 0.7409
sub_19:Test (Best Model) - Loss: 4.4026 - Accuracy: 0.6875 - F1: 0.6875
sub_19:Test (Best Model) - Loss: 15.0291 - Accuracy: 0.7188 - F1: 0.6632
sub_19:Test (Best Model) - Loss: 10.6751 - Accuracy: 0.6875 - F1: 0.6135
sub_19:Test (Best Model) - Loss: 10.4843 - Accuracy: 0.6250 - F1: 0.5000
sub_19:Test (Best Model) - Loss: 4.1534 - Accuracy: 0.6250 - F1: 0.6190
sub_19:Test (Best Model) - Loss: 8.3502 - Accuracy: 0.5625 - F1: 0.4589
sub_19:Test (Best Model) - Loss: 17.4117 - Accuracy: 0.5625 - F1: 0.3600
sub_19:Test (Best Model) - Loss: 6.5635 - Accuracy: 0.5938 - F1: 0.5589
sub_19:Test (Best Model) - Loss: 9.3451 - Accuracy: 0.4688 - F1: 0.4421
sub_19:Test (Best Model) - Loss: 10.0679 - Accuracy: 0.5938 - F1: 0.5934
sub_19:Test (Best Model) - Loss: 7.9421 - Accuracy: 0.5625 - F1: 0.5333
sub_19:Test (Best Model) - Loss: 15.4804 - Accuracy: 0.5625 - F1: 0.5556
sub_19:Test (Best Model) - Loss: 11.1560 - Accuracy: 0.5000 - F1: 0.4459
sub_20:Test (Best Model) - Loss: 5.5052 - Accuracy: 0.6562 - F1: 0.6559
sub_20:Test (Best Model) - Loss: 5.2490 - Accuracy: 0.7500 - F1: 0.7460
sub_20:Test (Best Model) - Loss: 10.5380 - Accuracy: 0.7500 - F1: 0.7229
sub_20:Test (Best Model) - Loss: 7.7283 - Accuracy: 0.7188 - F1: 0.7046
sub_20:Test (Best Model) - Loss: 10.9210 - Accuracy: 0.5625 - F1: 0.5333
sub_20:Test (Best Model) - Loss: 12.5441 - Accuracy: 0.7188 - F1: 0.7185
sub_20:Test (Best Model) - Loss: 6.4450 - Accuracy: 0.6875 - F1: 0.6825
sub_20:Test (Best Model) - Loss: 10.5636 - Accuracy: 0.6250 - F1: 0.6113
sub_20:Test (Best Model) - Loss: 8.4086 - Accuracy: 0.7188 - F1: 0.6632
sub_20:Test (Best Model) - Loss: 7.8433 - Accuracy: 0.6250 - F1: 0.6235
sub_20:Test (Best Model) - Loss: 15.6855 - Accuracy: 0.5758 - F1: 0.5417
sub_20:Test (Best Model) - Loss: 13.8639 - Accuracy: 0.6061 - F1: 0.6046
sub_20:Test (Best Model) - Loss: 9.4457 - Accuracy: 0.6667 - F1: 0.6617
sub_20:Test (Best Model) - Loss: 23.7455 - Accuracy: 0.4848 - F1: 0.4527
sub_20:Test (Best Model) - Loss: 10.0491 - Accuracy: 0.7576 - F1: 0.7462
sub_21:Test (Best Model) - Loss: 15.5174 - Accuracy: 0.3125 - F1: 0.3016
sub_21:Test (Best Model) - Loss: 18.6223 - Accuracy: 0.4375 - F1: 0.4170
sub_21:Test (Best Model) - Loss: 12.6114 - Accuracy: 0.5312 - F1: 0.5308
sub_21:Test (Best Model) - Loss: 12.3297 - Accuracy: 0.3125 - F1: 0.3098
sub_21:Test (Best Model) - Loss: 14.2964 - Accuracy: 0.5000 - F1: 0.4921
sub_21:Test (Best Model) - Loss: 12.5204 - Accuracy: 0.5938 - F1: 0.4793
sub_21:Test (Best Model) - Loss: 7.4176 - Accuracy: 0.4375 - F1: 0.4170
sub_21:Test (Best Model) - Loss: 9.2139 - Accuracy: 0.4375 - F1: 0.4000
sub_21:Test (Best Model) - Loss: 10.2507 - Accuracy: 0.5625 - F1: 0.5152
sub_21:Test (Best Model) - Loss: 16.0055 - Accuracy: 0.5938 - F1: 0.4340
sub_21:Test (Best Model) - Loss: 15.2960 - Accuracy: 0.4375 - F1: 0.4353
sub_21:Test (Best Model) - Loss: 12.2068 - Accuracy: 0.4062 - F1: 0.3764
sub_21:Test (Best Model) - Loss: 14.2963 - Accuracy: 0.3125 - F1: 0.3016
sub_21:Test (Best Model) - Loss: 14.5672 - Accuracy: 0.4375 - F1: 0.4170
sub_21:Test (Best Model) - Loss: 11.0030 - Accuracy: 0.5000 - F1: 0.4459
sub_22:Test (Best Model) - Loss: 4.3745 - Accuracy: 0.7812 - F1: 0.7758
sub_22:Test (Best Model) - Loss: 7.1850 - Accuracy: 0.6875 - F1: 0.6364
sub_22:Test (Best Model) - Loss: 4.9664 - Accuracy: 0.6875 - F1: 0.6825
sub_22:Test (Best Model) - Loss: 6.5376 - Accuracy: 0.6250 - F1: 0.6235
sub_22:Test (Best Model) - Loss: 3.3263 - Accuracy: 0.7500 - F1: 0.7460
sub_22:Test (Best Model) - Loss: 9.8115 - Accuracy: 0.6667 - F1: 0.5935
sub_22:Test (Best Model) - Loss: 3.4883 - Accuracy: 0.7576 - F1: 0.7273
sub_22:Test (Best Model) - Loss: 8.4741 - Accuracy: 0.6970 - F1: 0.6413
sub_22:Test (Best Model) - Loss: 1.2490 - Accuracy: 0.8485 - F1: 0.8479
sub_22:Test (Best Model) - Loss: 0.6889 - Accuracy: 0.9091 - F1: 0.9077
sub_22:Test (Best Model) - Loss: 7.4427 - Accuracy: 0.8125 - F1: 0.8000
sub_22:Test (Best Model) - Loss: 9.0868 - Accuracy: 0.5000 - F1: 0.4980
sub_22:Test (Best Model) - Loss: 5.9663 - Accuracy: 0.6875 - F1: 0.6875
sub_22:Test (Best Model) - Loss: 2.9641 - Accuracy: 0.8438 - F1: 0.8398
sub_22:Test (Best Model) - Loss: 1.6353 - Accuracy: 0.8438 - F1: 0.8424
sub_23:Test (Best Model) - Loss: 4.3189 - Accuracy: 0.8485 - F1: 0.8479
sub_23:Test (Best Model) - Loss: 0.9344 - Accuracy: 0.9394 - F1: 0.9380
sub_23:Test (Best Model) - Loss: 2.4604 - Accuracy: 0.8182 - F1: 0.8096
sub_23:Test (Best Model) - Loss: 9.0630 - Accuracy: 0.7273 - F1: 0.6857
sub_23:Test (Best Model) - Loss: 0.6022 - Accuracy: 0.9091 - F1: 0.9060
sub_23:Test (Best Model) - Loss: 3.9110 - Accuracy: 0.7188 - F1: 0.7185
sub_23:Test (Best Model) - Loss: 6.2397 - Accuracy: 0.6875 - F1: 0.6825
sub_23:Test (Best Model) - Loss: 3.2748 - Accuracy: 0.8750 - F1: 0.8730
sub_23:Test (Best Model) - Loss: 5.4591 - Accuracy: 0.7500 - F1: 0.7460
sub_23:Test (Best Model) - Loss: 12.4684 - Accuracy: 0.5312 - F1: 0.4684
sub_23:Test (Best Model) - Loss: 5.9125 - Accuracy: 0.8182 - F1: 0.8096
sub_23:Test (Best Model) - Loss: 5.6887 - Accuracy: 0.7879 - F1: 0.7664
sub_23:Test (Best Model) - Loss: 8.9505 - Accuracy: 0.7576 - F1: 0.7273
sub_23:Test (Best Model) - Loss: 3.1117 - Accuracy: 0.8485 - F1: 0.8390
sub_23:Test (Best Model) - Loss: 2.1865 - Accuracy: 0.9091 - F1: 0.9060
sub_24:Test (Best Model) - Loss: 4.9838 - Accuracy: 0.5938 - F1: 0.5934
sub_24:Test (Best Model) - Loss: 7.6649 - Accuracy: 0.5625 - F1: 0.5333
sub_24:Test (Best Model) - Loss: 5.0203 - Accuracy: 0.5312 - F1: 0.5308
sub_24:Test (Best Model) - Loss: 5.7071 - Accuracy: 0.4688 - F1: 0.4682
sub_24:Test (Best Model) - Loss: 7.7774 - Accuracy: 0.5000 - F1: 0.4459
sub_24:Test (Best Model) - Loss: 5.3571 - Accuracy: 0.5938 - F1: 0.5836
sub_24:Test (Best Model) - Loss: 5.7853 - Accuracy: 0.5312 - F1: 0.4684
sub_24:Test (Best Model) - Loss: 5.8197 - Accuracy: 0.5000 - F1: 0.4980
sub_24:Test (Best Model) - Loss: 5.7940 - Accuracy: 0.5312 - F1: 0.4386
sub_24:Test (Best Model) - Loss: 2.0682 - Accuracy: 0.7188 - F1: 0.7117
sub_24:Test (Best Model) - Loss: 7.0071 - Accuracy: 0.6250 - F1: 0.6000
sub_24:Test (Best Model) - Loss: 4.8745 - Accuracy: 0.5938 - F1: 0.5934
sub_24:Test (Best Model) - Loss: 5.5908 - Accuracy: 0.4062 - F1: 0.4057
sub_24:Test (Best Model) - Loss: 9.5399 - Accuracy: 0.5938 - F1: 0.5135
sub_24:Test (Best Model) - Loss: 5.9135 - Accuracy: 0.4375 - F1: 0.4170
sub_25:Test (Best Model) - Loss: 7.4116 - Accuracy: 0.4242 - F1: 0.3660
sub_25:Test (Best Model) - Loss: 12.1984 - Accuracy: 0.6061 - F1: 0.5196
sub_25:Test (Best Model) - Loss: 5.7852 - Accuracy: 0.6364 - F1: 0.6333
sub_25:Test (Best Model) - Loss: 8.9758 - Accuracy: 0.4242 - F1: 0.4046
sub_25:Test (Best Model) - Loss: 13.2084 - Accuracy: 0.6061 - F1: 0.5196
sub_25:Test (Best Model) - Loss: 6.3282 - Accuracy: 0.6875 - F1: 0.6825
sub_25:Test (Best Model) - Loss: 9.4996 - Accuracy: 0.4375 - F1: 0.4170
sub_25:Test (Best Model) - Loss: 3.6002 - Accuracy: 0.7500 - F1: 0.7409
sub_25:Test (Best Model) - Loss: 6.5371 - Accuracy: 0.6250 - F1: 0.5844
sub_25:Test (Best Model) - Loss: 2.7911 - Accuracy: 0.7188 - F1: 0.7185
sub_25:Test (Best Model) - Loss: 8.5083 - Accuracy: 0.5938 - F1: 0.5589
sub_25:Test (Best Model) - Loss: 6.6823 - Accuracy: 0.7188 - F1: 0.6811
sub_25:Test (Best Model) - Loss: 6.0097 - Accuracy: 0.6875 - F1: 0.6667
sub_25:Test (Best Model) - Loss: 10.5056 - Accuracy: 0.5938 - F1: 0.5393
sub_25:Test (Best Model) - Loss: 12.1681 - Accuracy: 0.5625 - F1: 0.5556
sub_26:Test (Best Model) - Loss: 4.3677 - Accuracy: 0.8788 - F1: 0.8778
sub_26:Test (Best Model) - Loss: 4.1628 - Accuracy: 0.7879 - F1: 0.7746
sub_26:Test (Best Model) - Loss: 7.8112 - Accuracy: 0.7273 - F1: 0.7273
sub_26:Test (Best Model) - Loss: 3.0436 - Accuracy: 0.8788 - F1: 0.8731
sub_26:Test (Best Model) - Loss: 0.5307 - Accuracy: 0.9697 - F1: 0.9692
sub_26:Test (Best Model) - Loss: 4.0532 - Accuracy: 0.8750 - F1: 0.8667
sub_26:Test (Best Model) - Loss: 3.5358 - Accuracy: 0.8438 - F1: 0.8424
sub_26:Test (Best Model) - Loss: 55.0698 - Accuracy: 0.4375 - F1: 0.3455
sub_26:Test (Best Model) - Loss: 16.6975 - Accuracy: 0.5312 - F1: 0.4910
sub_26:Test (Best Model) - Loss: 0.9325 - Accuracy: 0.9062 - F1: 0.9039
sub_26:Test (Best Model) - Loss: 7.7339 - Accuracy: 0.8438 - F1: 0.8303
sub_26:Test (Best Model) - Loss: 1.0752 - Accuracy: 0.8750 - F1: 0.8667
sub_26:Test (Best Model) - Loss: 0.6283 - Accuracy: 0.9688 - F1: 0.9680
sub_26:Test (Best Model) - Loss: 2.8606 - Accuracy: 0.8438 - F1: 0.8303
sub_26:Test (Best Model) - Loss: 4.5144 - Accuracy: 0.8438 - F1: 0.8303
sub_27:Test (Best Model) - Loss: 9.8574 - Accuracy: 0.5455 - F1: 0.5171
sub_27:Test (Best Model) - Loss: 8.0386 - Accuracy: 0.5455 - F1: 0.4762
sub_27:Test (Best Model) - Loss: 4.0619 - Accuracy: 0.6061 - F1: 0.5662
sub_27:Test (Best Model) - Loss: 6.1487 - Accuracy: 0.5758 - F1: 0.5658
sub_27:Test (Best Model) - Loss: 5.9484 - Accuracy: 0.5758 - F1: 0.5558
sub_27:Test (Best Model) - Loss: 11.3425 - Accuracy: 0.5152 - F1: 0.4762
sub_27:Test (Best Model) - Loss: 11.1663 - Accuracy: 0.4545 - F1: 0.4288
sub_27:Test (Best Model) - Loss: 10.1834 - Accuracy: 0.5152 - F1: 0.4545
sub_27:Test (Best Model) - Loss: 6.5697 - Accuracy: 0.5455 - F1: 0.5438
sub_27:Test (Best Model) - Loss: 3.8468 - Accuracy: 0.7879 - F1: 0.7746
sub_27:Test (Best Model) - Loss: 4.3864 - Accuracy: 0.6250 - F1: 0.6190
sub_27:Test (Best Model) - Loss: 12.6601 - Accuracy: 0.5000 - F1: 0.3816
sub_27:Test (Best Model) - Loss: 18.1252 - Accuracy: 0.4062 - F1: 0.3764
sub_27:Test (Best Model) - Loss: 13.6848 - Accuracy: 0.6875 - F1: 0.6537
sub_27:Test (Best Model) - Loss: 16.4473 - Accuracy: 0.4375 - F1: 0.4353
sub_28:Test (Best Model) - Loss: 5.7994 - Accuracy: 0.6875 - F1: 0.6667
sub_28:Test (Best Model) - Loss: 3.3247 - Accuracy: 0.7188 - F1: 0.7117
sub_28:Test (Best Model) - Loss: 6.4603 - Accuracy: 0.6562 - F1: 0.6532
sub_28:Test (Best Model) - Loss: 17.0895 - Accuracy: 0.5625 - F1: 0.4589
sub_28:Test (Best Model) - Loss: 13.2437 - Accuracy: 0.3438 - F1: 0.2874
sub_28:Test (Best Model) - Loss: 20.5603 - Accuracy: 0.5000 - F1: 0.4921
sub_28:Test (Best Model) - Loss: 36.6279 - Accuracy: 0.4688 - F1: 0.4640
sub_28:Test (Best Model) - Loss: 30.8614 - Accuracy: 0.3750 - F1: 0.3750
sub_28:Test (Best Model) - Loss: 20.6297 - Accuracy: 0.5000 - F1: 0.4921
sub_28:Test (Best Model) - Loss: 26.6513 - Accuracy: 0.5625 - F1: 0.5556
sub_28:Test (Best Model) - Loss: 11.1857 - Accuracy: 0.3438 - F1: 0.3379
sub_28:Test (Best Model) - Loss: 11.6412 - Accuracy: 0.4688 - F1: 0.3976
sub_28:Test (Best Model) - Loss: 11.6630 - Accuracy: 0.4375 - F1: 0.4000
sub_28:Test (Best Model) - Loss: 13.1381 - Accuracy: 0.5312 - F1: 0.5271
sub_28:Test (Best Model) - Loss: 5.7112 - Accuracy: 0.5000 - F1: 0.4667
sub_29:Test (Best Model) - Loss: 4.5014 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 6.3883 - Accuracy: 0.8750 - F1: 0.8667
sub_29:Test (Best Model) - Loss: 7.2448 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 15.9514 - Accuracy: 0.8438 - F1: 0.8303
sub_29:Test (Best Model) - Loss: 1.4505 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 2.5697 - Accuracy: 0.9062 - F1: 0.9039
sub_29:Test (Best Model) - Loss: 0.0009 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 2.0091 - Accuracy: 0.9375 - F1: 0.9373
sub_29:Test (Best Model) - Loss: 1.4917 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 2.7043 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 1.4632 - Accuracy: 0.9091 - F1: 0.9088
sub_29: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_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000

=== Summary Results ===

acc: 67.79 ± 12.65
F1: 65.38 ± 13.58
acc-in: 77.11 ± 8.96
F1-in: 74.40 ± 10.30
