lr: 0.001
sub_1:Test (Best Model) - Loss: 1.4339 - Accuracy: 0.9375 - F1: 0.9352
sub_1:Test (Best Model) - Loss: 0.3514 - Accuracy: 0.9688 - F1: 0.9685
sub_1:Test (Best Model) - Loss: 0.4725 - Accuracy: 0.9375 - F1: 0.9365
sub_1:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.5671 - Accuracy: 0.9375 - F1: 0.9373
sub_1:Test (Best Model) - Loss: 1.2949 - Accuracy: 0.9394 - F1: 0.9380
sub_1:Test (Best Model) - Loss: 5.5734 - Accuracy: 0.8485 - F1: 0.8485
sub_1:Test (Best Model) - Loss: 12.1748 - Accuracy: 0.7576 - F1: 0.7273
sub_1:Test (Best Model) - Loss: 2.0854 - Accuracy: 0.9394 - F1: 0.9380
sub_1:Test (Best Model) - Loss: 5.1956 - Accuracy: 0.9394 - F1: 0.9380
sub_1:Test (Best Model) - Loss: 3.0260 - Accuracy: 0.9062 - F1: 0.9015
sub_1:Test (Best Model) - Loss: 3.0552 - Accuracy: 0.9375 - F1: 0.9373
sub_1:Test (Best Model) - Loss: 3.3259 - Accuracy: 0.9062 - F1: 0.9054
sub_1:Test (Best Model) - Loss: 1.4366 - Accuracy: 0.9688 - F1: 0.9680
sub_1:Test (Best Model) - Loss: 2.8451 - Accuracy: 0.8438 - F1: 0.8436
sub_2:Test (Best Model) - Loss: 6.3031 - Accuracy: 0.7576 - F1: 0.7556
sub_2:Test (Best Model) - Loss: 10.6410 - Accuracy: 0.7273 - F1: 0.6997
sub_2:Test (Best Model) - Loss: 6.6366 - Accuracy: 0.8485 - F1: 0.8433
sub_2:Test (Best Model) - Loss: 3.8677 - Accuracy: 0.7273 - F1: 0.7263
sub_2:Test (Best Model) - Loss: 3.0372 - Accuracy: 0.8485 - F1: 0.8462
sub_2:Test (Best Model) - Loss: 4.8115 - Accuracy: 0.6875 - F1: 0.6863
sub_2:Test (Best Model) - Loss: 11.1504 - Accuracy: 0.5625 - F1: 0.4589
sub_2:Test (Best Model) - Loss: 8.2114 - Accuracy: 0.7500 - F1: 0.7490
sub_2:Test (Best Model) - Loss: 8.5064 - Accuracy: 0.6562 - F1: 0.6476
sub_2:Test (Best Model) - Loss: 3.3445 - Accuracy: 0.7500 - F1: 0.7333
sub_2:Test (Best Model) - Loss: 8.6816 - Accuracy: 0.6364 - F1: 0.6360
sub_2:Test (Best Model) - Loss: 21.2278 - Accuracy: 0.6061 - F1: 0.5460
sub_2:Test (Best Model) - Loss: 2.5671 - Accuracy: 0.7576 - F1: 0.7574
sub_2:Test (Best Model) - Loss: 8.8095 - Accuracy: 0.7879 - F1: 0.7746
sub_2:Test (Best Model) - Loss: 7.7896 - Accuracy: 0.5758 - F1: 0.5227
sub_3:Test (Best Model) - Loss: 12.4507 - Accuracy: 0.5000 - F1: 0.4459
sub_3:Test (Best Model) - Loss: 18.4981 - Accuracy: 0.5625 - F1: 0.5556
sub_3:Test (Best Model) - Loss: 16.7373 - Accuracy: 0.4375 - F1: 0.3766
sub_3:Test (Best Model) - Loss: 6.4300 - Accuracy: 0.6250 - F1: 0.6113
sub_3:Test (Best Model) - Loss: 15.4669 - Accuracy: 0.6250 - F1: 0.5000
sub_3:Test (Best Model) - Loss: 8.9062 - Accuracy: 0.5152 - F1: 0.4545
sub_3:Test (Best Model) - Loss: 7.4101 - Accuracy: 0.4545 - F1: 0.4417
sub_3:Test (Best Model) - Loss: 5.3330 - Accuracy: 0.5152 - F1: 0.5038
sub_3:Test (Best Model) - Loss: 9.1236 - Accuracy: 0.7576 - F1: 0.7381
sub_3:Test (Best Model) - Loss: 13.6960 - Accuracy: 0.5455 - F1: 0.4058
sub_3:Test (Best Model) - Loss: 15.2337 - Accuracy: 0.5152 - F1: 0.4762
sub_3:Test (Best Model) - Loss: 11.3536 - Accuracy: 0.5758 - F1: 0.5227
sub_3:Test (Best Model) - Loss: 12.4781 - Accuracy: 0.4242 - F1: 0.3365
sub_3:Test (Best Model) - Loss: 18.8533 - Accuracy: 0.5758 - F1: 0.5227
sub_3:Test (Best Model) - Loss: 22.9066 - Accuracy: 0.4848 - F1: 0.4328
sub_4:Test (Best Model) - Loss: 4.8462 - Accuracy: 0.7273 - F1: 0.7179
sub_4:Test (Best Model) - Loss: 5.3458 - Accuracy: 0.9091 - F1: 0.9060
sub_4:Test (Best Model) - Loss: 2.5384 - Accuracy: 0.8788 - F1: 0.8759
sub_4:Test (Best Model) - Loss: 3.2173 - Accuracy: 0.8788 - F1: 0.8759
sub_4:Test (Best Model) - Loss: 5.4355 - Accuracy: 0.9394 - F1: 0.9380
sub_4:Test (Best Model) - Loss: 1.9453 - Accuracy: 0.7879 - F1: 0.7806
sub_4:Test (Best Model) - Loss: 4.3363 - Accuracy: 0.7879 - F1: 0.7871
sub_4:Test (Best Model) - Loss: 5.9311 - Accuracy: 0.8788 - F1: 0.8731
sub_4:Test (Best Model) - Loss: 8.0045 - Accuracy: 0.8182 - F1: 0.8096
sub_4:Test (Best Model) - Loss: 7.1022 - Accuracy: 0.8485 - F1: 0.8433
sub_4:Test (Best Model) - Loss: 14.9633 - Accuracy: 0.5455 - F1: 0.4762
sub_4:Test (Best Model) - Loss: 3.0799 - Accuracy: 0.8182 - F1: 0.8167
sub_4:Test (Best Model) - Loss: 6.8194 - Accuracy: 0.6061 - F1: 0.5926
sub_4:Test (Best Model) - Loss: 2.0332 - Accuracy: 0.8788 - F1: 0.8778
sub_4:Test (Best Model) - Loss: 18.5864 - Accuracy: 0.4545 - F1: 0.3125
sub_5:Test (Best Model) - Loss: 13.1223 - Accuracy: 0.6875 - F1: 0.6667
sub_5:Test (Best Model) - Loss: 8.9287 - Accuracy: 0.5312 - F1: 0.4910
sub_5:Test (Best Model) - Loss: 11.0484 - Accuracy: 0.5625 - F1: 0.5625
sub_5:Test (Best Model) - Loss: 12.5543 - Accuracy: 0.6562 - F1: 0.6267
sub_5:Test (Best Model) - Loss: 6.5544 - Accuracy: 0.7500 - F1: 0.7460
sub_5:Test (Best Model) - Loss: 9.0895 - Accuracy: 0.6562 - F1: 0.6476
sub_5:Test (Best Model) - Loss: 8.1584 - Accuracy: 0.5938 - F1: 0.5901
sub_5:Test (Best Model) - Loss: 20.9003 - Accuracy: 0.5000 - F1: 0.4459
sub_5:Test (Best Model) - Loss: 13.2615 - Accuracy: 0.7500 - F1: 0.7333
sub_5:Test (Best Model) - Loss: 6.4121 - Accuracy: 0.8438 - F1: 0.8303
sub_5:Test (Best Model) - Loss: 6.4182 - Accuracy: 0.6562 - F1: 0.6532
sub_5:Test (Best Model) - Loss: 11.1384 - Accuracy: 0.6250 - F1: 0.6190
sub_5:Test (Best Model) - Loss: 8.4383 - Accuracy: 0.5938 - F1: 0.5901
sub_5:Test (Best Model) - Loss: 15.7100 - Accuracy: 0.6562 - F1: 0.6476
sub_5:Test (Best Model) - Loss: 14.7012 - Accuracy: 0.5938 - F1: 0.5934
sub_6:Test (Best Model) - Loss: 12.3037 - Accuracy: 0.5000 - F1: 0.4818
sub_6:Test (Best Model) - Loss: 23.4544 - Accuracy: 0.4375 - F1: 0.4000
sub_6:Test (Best Model) - Loss: 7.6279 - Accuracy: 0.7500 - F1: 0.7091
sub_6:Test (Best Model) - Loss: 15.8891 - Accuracy: 0.7188 - F1: 0.6811
sub_6:Test (Best Model) - Loss: 8.6156 - Accuracy: 0.6250 - F1: 0.6113
sub_6:Test (Best Model) - Loss: 20.6460 - Accuracy: 0.5758 - F1: 0.4653
sub_6:Test (Best Model) - Loss: 13.1190 - Accuracy: 0.6667 - F1: 0.6617
sub_6:Test (Best Model) - Loss: 14.0977 - Accuracy: 0.6667 - F1: 0.6459
sub_6:Test (Best Model) - Loss: 12.2197 - Accuracy: 0.5758 - F1: 0.5722
sub_6:Test (Best Model) - Loss: 14.0980 - Accuracy: 0.6970 - F1: 0.6898
sub_6:Test (Best Model) - Loss: 3.1629 - Accuracy: 0.7576 - F1: 0.7519
sub_6:Test (Best Model) - Loss: 9.4880 - Accuracy: 0.5455 - F1: 0.5171
sub_6:Test (Best Model) - Loss: 5.6182 - Accuracy: 0.6364 - F1: 0.6333
sub_6:Test (Best Model) - Loss: 8.6774 - Accuracy: 0.6061 - F1: 0.5815
sub_6:Test (Best Model) - Loss: 2.1370 - Accuracy: 0.9394 - F1: 0.9380
sub_7:Test (Best Model) - Loss: 5.1419 - Accuracy: 0.5312 - F1: 0.5195
sub_7:Test (Best Model) - Loss: 6.4039 - Accuracy: 0.6562 - F1: 0.6102
sub_7:Test (Best Model) - Loss: 8.8328 - Accuracy: 0.5000 - F1: 0.4980
sub_7:Test (Best Model) - Loss: 11.3720 - Accuracy: 0.6875 - F1: 0.6761
sub_7:Test (Best Model) - Loss: 7.4258 - Accuracy: 0.7500 - F1: 0.7229
sub_7:Test (Best Model) - Loss: 15.5589 - Accuracy: 0.5000 - F1: 0.4921
sub_7:Test (Best Model) - Loss: 7.6310 - Accuracy: 0.5938 - F1: 0.5901
sub_7:Test (Best Model) - Loss: 13.9748 - Accuracy: 0.5938 - F1: 0.5836
sub_7:Test (Best Model) - Loss: 11.1592 - Accuracy: 0.5312 - F1: 0.5308
sub_7:Test (Best Model) - Loss: 7.1435 - Accuracy: 0.5938 - F1: 0.5934
sub_7:Test (Best Model) - Loss: 7.5620 - Accuracy: 0.5000 - F1: 0.4980
sub_7:Test (Best Model) - Loss: 10.9181 - Accuracy: 0.5312 - F1: 0.4910
sub_7:Test (Best Model) - Loss: 13.8169 - Accuracy: 0.5938 - F1: 0.5836
sub_7:Test (Best Model) - Loss: 8.4291 - Accuracy: 0.6562 - F1: 0.6559
sub_7:Test (Best Model) - Loss: 4.6311 - Accuracy: 0.7500 - F1: 0.7490
sub_8:Test (Best Model) - Loss: 2.2487 - Accuracy: 0.8750 - F1: 0.8667
sub_8:Test (Best Model) - Loss: 7.1827 - Accuracy: 0.7188 - F1: 0.6811
sub_8:Test (Best Model) - Loss: 10.4145 - Accuracy: 0.8125 - F1: 0.8000
sub_8:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 11.9708 - Accuracy: 0.7500 - F1: 0.7091
sub_8:Test (Best Model) - Loss: 4.1986 - Accuracy: 0.8125 - F1: 0.7922
sub_8:Test (Best Model) - Loss: 5.0001 - Accuracy: 0.7188 - F1: 0.7046
sub_8:Test (Best Model) - Loss: 0.7951 - Accuracy: 0.9062 - F1: 0.9039
sub_8:Test (Best Model) - Loss: 8.9981 - Accuracy: 0.8125 - F1: 0.8000
sub_8:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 2.0189 - Accuracy: 0.9062 - F1: 0.9039
sub_8:Test (Best Model) - Loss: 4.5078 - Accuracy: 0.7812 - F1: 0.7703
sub_8:Test (Best Model) - Loss: 4.9621 - Accuracy: 0.8438 - F1: 0.8303
sub_8:Test (Best Model) - Loss: 8.0004 - Accuracy: 0.7500 - F1: 0.7091
sub_8:Test (Best Model) - Loss: 0.1628 - Accuracy: 0.9688 - F1: 0.9685
sub_9:Test (Best Model) - Loss: 1.1557 - Accuracy: 0.8750 - F1: 0.8667
sub_9:Test (Best Model) - Loss: 7.7459 - Accuracy: 0.8125 - F1: 0.8000
sub_9:Test (Best Model) - Loss: 0.5445 - Accuracy: 0.9062 - F1: 0.9015
sub_9:Test (Best Model) - Loss: 8.0092 - Accuracy: 0.7812 - F1: 0.7519
sub_9:Test (Best Model) - Loss: 2.2385 - Accuracy: 0.9375 - F1: 0.9352
sub_9:Test (Best Model) - Loss: 10.3007 - Accuracy: 0.6562 - F1: 0.6532
sub_9:Test (Best Model) - Loss: 21.2911 - Accuracy: 0.5000 - F1: 0.4182
sub_9:Test (Best Model) - Loss: 7.6721 - Accuracy: 0.8125 - F1: 0.8095
sub_9:Test (Best Model) - Loss: 11.3822 - Accuracy: 0.8125 - F1: 0.8095
sub_9:Test (Best Model) - Loss: 11.3668 - Accuracy: 0.7812 - F1: 0.7519
sub_9:Test (Best Model) - Loss: 3.1827 - Accuracy: 0.8125 - F1: 0.8095
sub_9:Test (Best Model) - Loss: 3.9680 - Accuracy: 0.9375 - F1: 0.9373
sub_9:Test (Best Model) - Loss: 2.6045 - Accuracy: 0.8438 - F1: 0.8424
sub_9:Test (Best Model) - Loss: 13.4089 - Accuracy: 0.6250 - F1: 0.6190
sub_9:Test (Best Model) - Loss: 0.1168 - Accuracy: 0.9688 - F1: 0.9680
sub_10:Test (Best Model) - Loss: 6.2134 - Accuracy: 0.6250 - F1: 0.5362
sub_10:Test (Best Model) - Loss: 4.6676 - Accuracy: 0.8750 - F1: 0.8667
sub_10:Test (Best Model) - Loss: 8.1126 - Accuracy: 0.6875 - F1: 0.6135
sub_10:Test (Best Model) - Loss: 3.3942 - Accuracy: 0.8438 - F1: 0.8436
sub_10:Test (Best Model) - Loss: 8.5539 - Accuracy: 0.5938 - F1: 0.4793
sub_10:Test (Best Model) - Loss: 9.4914 - Accuracy: 0.6250 - F1: 0.6235
sub_10:Test (Best Model) - Loss: 5.7331 - Accuracy: 0.6250 - F1: 0.6000
sub_10:Test (Best Model) - Loss: 9.7360 - Accuracy: 0.7500 - F1: 0.7490
sub_10:Test (Best Model) - Loss: 3.2285 - Accuracy: 0.8125 - F1: 0.8095
sub_10:Test (Best Model) - Loss: 13.3482 - Accuracy: 0.5625 - F1: 0.5608
sub_10:Test (Best Model) - Loss: 11.6161 - Accuracy: 0.7273 - F1: 0.6857
sub_10:Test (Best Model) - Loss: 15.1354 - Accuracy: 0.7273 - F1: 0.6857
sub_10:Test (Best Model) - Loss: 32.0696 - Accuracy: 0.5152 - F1: 0.4261
sub_10:Test (Best Model) - Loss: 7.0749 - Accuracy: 0.7273 - F1: 0.7102
sub_10:Test (Best Model) - Loss: 9.8670 - Accuracy: 0.6061 - F1: 0.5926
sub_11:Test (Best Model) - Loss: 15.9549 - Accuracy: 0.3333 - F1: 0.3327
sub_11:Test (Best Model) - Loss: 18.6679 - Accuracy: 0.4848 - F1: 0.4772
sub_11:Test (Best Model) - Loss: 13.2235 - Accuracy: 0.5758 - F1: 0.5754
sub_11:Test (Best Model) - Loss: 20.1871 - Accuracy: 0.5152 - F1: 0.4261
sub_11:Test (Best Model) - Loss: 13.4312 - Accuracy: 0.5758 - F1: 0.5227
sub_11:Test (Best Model) - Loss: 16.7282 - Accuracy: 0.5758 - F1: 0.4225
sub_11:Test (Best Model) - Loss: 11.5664 - Accuracy: 0.6061 - F1: 0.4850
sub_11:Test (Best Model) - Loss: 7.0938 - Accuracy: 0.5758 - F1: 0.4978
sub_11:Test (Best Model) - Loss: 9.3141 - Accuracy: 0.6364 - F1: 0.6071
sub_11:Test (Best Model) - Loss: 9.3293 - Accuracy: 0.6667 - F1: 0.5935
sub_11:Test (Best Model) - Loss: 21.7174 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 2.1397 - Accuracy: 0.7576 - F1: 0.7519
sub_11:Test (Best Model) - Loss: 8.4095 - Accuracy: 0.4848 - F1: 0.4848
sub_11:Test (Best Model) - Loss: 13.1715 - Accuracy: 0.6364 - F1: 0.5417
sub_11:Test (Best Model) - Loss: 6.5896 - Accuracy: 0.6667 - F1: 0.6617
sub_12:Test (Best Model) - Loss: 5.9682 - Accuracy: 0.7812 - F1: 0.7625
sub_12:Test (Best Model) - Loss: 1.4410 - Accuracy: 0.8750 - F1: 0.8730
sub_12:Test (Best Model) - Loss: 6.7658 - Accuracy: 0.7188 - F1: 0.6946
sub_12:Test (Best Model) - Loss: 3.8337 - Accuracy: 0.9062 - F1: 0.9015
sub_12:Test (Best Model) - Loss: 2.2765 - Accuracy: 0.8750 - F1: 0.8730
sub_12:Test (Best Model) - Loss: 8.4411 - Accuracy: 0.6364 - F1: 0.6333
sub_12:Test (Best Model) - Loss: 3.7356 - Accuracy: 0.9091 - F1: 0.9060
sub_12:Test (Best Model) - Loss: 10.9738 - Accuracy: 0.6667 - F1: 0.6459
sub_12:Test (Best Model) - Loss: 2.1696 - Accuracy: 0.9091 - F1: 0.9060
sub_12:Test (Best Model) - Loss: 0.0467 - Accuracy: 0.9394 - F1: 0.9380
sub_12:Test (Best Model) - Loss: 11.1417 - Accuracy: 0.7812 - F1: 0.7793
sub_12:Test (Best Model) - Loss: 10.9013 - Accuracy: 0.6562 - F1: 0.6559
sub_12:Test (Best Model) - Loss: 21.5240 - Accuracy: 0.5312 - F1: 0.5195
sub_12:Test (Best Model) - Loss: 21.6225 - Accuracy: 0.7500 - F1: 0.7091
sub_12:Test (Best Model) - Loss: 11.8940 - Accuracy: 0.7812 - F1: 0.7625
sub_13:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 3.3485 - Accuracy: 0.9062 - F1: 0.9015
sub_13:Test (Best Model) - Loss: 0.7961 - Accuracy: 0.9375 - F1: 0.9352
sub_13:Test (Best Model) - Loss: 3.7861 - Accuracy: 0.8438 - F1: 0.8359
sub_13:Test (Best Model) - Loss: 0.0005 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.4251 - Accuracy: 0.9394 - F1: 0.9380
sub_13:Test (Best Model) - Loss: 6.1652 - Accuracy: 0.8485 - F1: 0.8479
sub_13:Test (Best Model) - Loss: 4.0142 - Accuracy: 0.9091 - F1: 0.9077
sub_13:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 1.5997 - Accuracy: 0.9091 - F1: 0.9060
sub_13:Test (Best Model) - Loss: 10.2298 - Accuracy: 0.8125 - F1: 0.8118
sub_13:Test (Best Model) - Loss: 13.1237 - Accuracy: 0.7500 - F1: 0.7460
sub_13:Test (Best Model) - Loss: 16.2259 - Accuracy: 0.6250 - F1: 0.6000
sub_13:Test (Best Model) - Loss: 9.0223 - Accuracy: 0.7812 - F1: 0.7793
sub_13:Test (Best Model) - Loss: 9.3838 - Accuracy: 0.7812 - F1: 0.7793
sub_14:Test (Best Model) - Loss: 5.4854 - Accuracy: 0.8125 - F1: 0.7922
sub_14:Test (Best Model) - Loss: 1.2449 - Accuracy: 0.9062 - F1: 0.9039
sub_14:Test (Best Model) - Loss: 1.1165 - Accuracy: 0.9375 - F1: 0.9373
sub_14:Test (Best Model) - Loss: 7.3741 - Accuracy: 0.7188 - F1: 0.7163
sub_14:Test (Best Model) - Loss: 2.7559 - Accuracy: 0.8750 - F1: 0.8730
sub_14:Test (Best Model) - Loss: 1.4431 - Accuracy: 0.9375 - F1: 0.9373
sub_14:Test (Best Model) - Loss: 1.0692 - Accuracy: 0.9688 - F1: 0.9685
sub_14:Test (Best Model) - Loss: 3.0314 - Accuracy: 0.8125 - F1: 0.7922
sub_14:Test (Best Model) - Loss: 16.5344 - Accuracy: 0.7188 - F1: 0.6632
sub_14:Test (Best Model) - Loss: 7.3947 - Accuracy: 0.8125 - F1: 0.8000
sub_14:Test (Best Model) - Loss: 1.9095 - Accuracy: 0.9062 - F1: 0.9015
sub_14:Test (Best Model) - Loss: 8.2962 - Accuracy: 0.7812 - F1: 0.7625
sub_14:Test (Best Model) - Loss: 5.1296 - Accuracy: 0.8125 - F1: 0.8125
sub_14:Test (Best Model) - Loss: 3.1671 - Accuracy: 0.8750 - F1: 0.8667
sub_14:Test (Best Model) - Loss: 3.7586 - Accuracy: 0.8750 - F1: 0.8667
sub_15:Test (Best Model) - Loss: 24.5146 - Accuracy: 0.6562 - F1: 0.5594
sub_15:Test (Best Model) - Loss: 5.5126 - Accuracy: 0.9062 - F1: 0.9039
sub_15:Test (Best Model) - Loss: 3.2662 - Accuracy: 0.8438 - F1: 0.8303
sub_15:Test (Best Model) - Loss: 6.7620 - Accuracy: 0.7500 - F1: 0.7333
sub_15:Test (Best Model) - Loss: 34.2383 - Accuracy: 0.6562 - F1: 0.5594
sub_15:Test (Best Model) - Loss: 5.9043 - Accuracy: 0.7812 - F1: 0.7810
sub_15:Test (Best Model) - Loss: 23.9832 - Accuracy: 0.4688 - F1: 0.4682
sub_15:Test (Best Model) - Loss: 2.7892 - Accuracy: 0.8750 - F1: 0.8750
sub_15:Test (Best Model) - Loss: 13.7263 - Accuracy: 0.6875 - F1: 0.6135
sub_15:Test (Best Model) - Loss: 8.7579 - Accuracy: 0.8125 - F1: 0.8095
sub_15:Test (Best Model) - Loss: 24.5667 - Accuracy: 0.5625 - F1: 0.5556
sub_15:Test (Best Model) - Loss: 8.9810 - Accuracy: 0.6562 - F1: 0.6476
sub_15:Test (Best Model) - Loss: 16.5825 - Accuracy: 0.4375 - F1: 0.4000
sub_15:Test (Best Model) - Loss: 27.4655 - Accuracy: 0.4375 - F1: 0.3043
sub_15:Test (Best Model) - Loss: 10.4597 - Accuracy: 0.7188 - F1: 0.7046
sub_16:Test (Best Model) - Loss: 8.7759 - Accuracy: 0.5312 - F1: 0.5077
sub_16:Test (Best Model) - Loss: 6.1328 - Accuracy: 0.6562 - F1: 0.6476
sub_16:Test (Best Model) - Loss: 10.5944 - Accuracy: 0.5000 - F1: 0.4980
sub_16:Test (Best Model) - Loss: 5.4392 - Accuracy: 0.5625 - F1: 0.5625
sub_16:Test (Best Model) - Loss: 6.2057 - Accuracy: 0.6250 - F1: 0.6113
sub_16:Test (Best Model) - Loss: 8.8437 - Accuracy: 0.7188 - F1: 0.7117
sub_16:Test (Best Model) - Loss: 11.4441 - Accuracy: 0.6875 - F1: 0.6761
sub_16:Test (Best Model) - Loss: 7.0381 - Accuracy: 0.5938 - F1: 0.5836
sub_16:Test (Best Model) - Loss: 11.2230 - Accuracy: 0.5000 - F1: 0.4667
sub_16:Test (Best Model) - Loss: 24.1299 - Accuracy: 0.6562 - F1: 0.5883
sub_16:Test (Best Model) - Loss: 8.3736 - Accuracy: 0.4688 - F1: 0.4231
sub_16:Test (Best Model) - Loss: 11.4551 - Accuracy: 0.5625 - F1: 0.4909
sub_16:Test (Best Model) - Loss: 20.9007 - Accuracy: 0.6250 - F1: 0.5000
sub_16:Test (Best Model) - Loss: 14.6324 - Accuracy: 0.4688 - F1: 0.4555
sub_16:Test (Best Model) - Loss: 9.1913 - Accuracy: 0.3438 - F1: 0.2874
sub_17:Test (Best Model) - Loss: 8.7514 - Accuracy: 0.6667 - F1: 0.6617
sub_17:Test (Best Model) - Loss: 27.8981 - Accuracy: 0.5455 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 10.6353 - Accuracy: 0.5455 - F1: 0.4762
sub_17:Test (Best Model) - Loss: 13.5029 - Accuracy: 0.5455 - F1: 0.4995
sub_17:Test (Best Model) - Loss: 10.1962 - Accuracy: 0.6970 - F1: 0.6413
sub_17:Test (Best Model) - Loss: 8.2310 - Accuracy: 0.5758 - F1: 0.5658
sub_17:Test (Best Model) - Loss: 4.7069 - Accuracy: 0.6061 - F1: 0.5926
sub_17:Test (Best Model) - Loss: 21.9610 - Accuracy: 0.5455 - F1: 0.4995
sub_17:Test (Best Model) - Loss: 12.1354 - Accuracy: 0.6364 - F1: 0.6360
sub_17:Test (Best Model) - Loss: 2.7537 - Accuracy: 0.8485 - F1: 0.8390
sub_17:Test (Best Model) - Loss: 21.1296 - Accuracy: 0.3750 - F1: 0.3074
sub_17:Test (Best Model) - Loss: 4.8890 - Accuracy: 0.6875 - F1: 0.6825
sub_17:Test (Best Model) - Loss: 13.1036 - Accuracy: 0.5000 - F1: 0.4182
sub_17:Test (Best Model) - Loss: 10.0233 - Accuracy: 0.5625 - F1: 0.4909
sub_17:Test (Best Model) - Loss: 20.9610 - Accuracy: 0.5625 - F1: 0.5556
sub_18:Test (Best Model) - Loss: 2.7188 - Accuracy: 0.7879 - F1: 0.7879
sub_18:Test (Best Model) - Loss: 10.2175 - Accuracy: 0.6667 - F1: 0.6553
sub_18:Test (Best Model) - Loss: 1.7069 - Accuracy: 0.8485 - F1: 0.8462
sub_18:Test (Best Model) - Loss: 3.2096 - Accuracy: 0.9091 - F1: 0.9060
sub_18:Test (Best Model) - Loss: 2.7482 - Accuracy: 0.8485 - F1: 0.8479
sub_18:Test (Best Model) - Loss: 1.2123 - Accuracy: 0.9062 - F1: 0.9015
sub_18:Test (Best Model) - Loss: 2.1327 - Accuracy: 0.8438 - F1: 0.8359
sub_18:Test (Best Model) - Loss: 1.4398 - Accuracy: 0.8750 - F1: 0.8667
sub_18:Test (Best Model) - Loss: 3.0946 - Accuracy: 0.8750 - F1: 0.8667
sub_18:Test (Best Model) - Loss: 6.4217 - Accuracy: 0.8438 - F1: 0.8303
sub_18:Test (Best Model) - Loss: 3.9317 - Accuracy: 0.8750 - F1: 0.8704
sub_18:Test (Best Model) - Loss: 2.3388 - Accuracy: 0.8750 - F1: 0.8745
sub_18:Test (Best Model) - Loss: 2.7241 - Accuracy: 0.9062 - F1: 0.9062
sub_18:Test (Best Model) - Loss: 4.3388 - Accuracy: 0.8750 - F1: 0.8667
sub_18:Test (Best Model) - Loss: 2.1844 - Accuracy: 0.9062 - F1: 0.9054
sub_19:Test (Best Model) - Loss: 16.8343 - Accuracy: 0.5312 - F1: 0.3469
sub_19:Test (Best Model) - Loss: 3.5840 - Accuracy: 0.9062 - F1: 0.9015
sub_19:Test (Best Model) - Loss: 8.1491 - Accuracy: 0.7500 - F1: 0.7091
sub_19:Test (Best Model) - Loss: 9.6397 - Accuracy: 0.7500 - F1: 0.7091
sub_19:Test (Best Model) - Loss: 22.5536 - Accuracy: 0.5938 - F1: 0.5393
sub_19:Test (Best Model) - Loss: 15.6126 - Accuracy: 0.5938 - F1: 0.4340
sub_19:Test (Best Model) - Loss: 13.1595 - Accuracy: 0.4688 - F1: 0.4640
sub_19:Test (Best Model) - Loss: 10.6594 - Accuracy: 0.5938 - F1: 0.5836
sub_19:Test (Best Model) - Loss: 10.0710 - Accuracy: 0.7812 - F1: 0.7519
sub_19:Test (Best Model) - Loss: 16.9275 - Accuracy: 0.8125 - F1: 0.7922
sub_19:Test (Best Model) - Loss: 21.5602 - Accuracy: 0.4375 - F1: 0.4000
sub_19:Test (Best Model) - Loss: 30.0295 - Accuracy: 0.4688 - F1: 0.4231
sub_19:Test (Best Model) - Loss: 44.0332 - Accuracy: 0.4688 - F1: 0.3637
sub_19:Test (Best Model) - Loss: 43.7768 - Accuracy: 0.4375 - F1: 0.3043
sub_19:Test (Best Model) - Loss: 62.4397 - Accuracy: 0.4375 - F1: 0.3043
sub_20:Test (Best Model) - Loss: 7.5358 - Accuracy: 0.6562 - F1: 0.6532
sub_20:Test (Best Model) - Loss: 10.0404 - Accuracy: 0.5938 - F1: 0.5836
sub_20:Test (Best Model) - Loss: 14.2032 - Accuracy: 0.5938 - F1: 0.5901
sub_20:Test (Best Model) - Loss: 15.2364 - Accuracy: 0.6250 - F1: 0.6250
sub_20:Test (Best Model) - Loss: 8.3176 - Accuracy: 0.7188 - F1: 0.7185
sub_20:Test (Best Model) - Loss: 8.5307 - Accuracy: 0.6875 - F1: 0.6875
sub_20:Test (Best Model) - Loss: 11.7525 - Accuracy: 0.7188 - F1: 0.7185
sub_20:Test (Best Model) - Loss: 7.3831 - Accuracy: 0.7188 - F1: 0.6946
sub_20:Test (Best Model) - Loss: 3.5933 - Accuracy: 0.8438 - F1: 0.8303
sub_20:Test (Best Model) - Loss: 13.0438 - Accuracy: 0.7812 - F1: 0.7703
sub_20:Test (Best Model) - Loss: 16.5420 - Accuracy: 0.6667 - F1: 0.6553
sub_20:Test (Best Model) - Loss: 28.1027 - Accuracy: 0.5758 - F1: 0.4653
sub_20:Test (Best Model) - Loss: 16.0280 - Accuracy: 0.6061 - F1: 0.5196
sub_20:Test (Best Model) - Loss: 21.1123 - Accuracy: 0.6667 - F1: 0.6654
sub_20:Test (Best Model) - Loss: 9.3288 - Accuracy: 0.7879 - F1: 0.7806
sub_21:Test (Best Model) - Loss: 13.3542 - Accuracy: 0.3125 - F1: 0.2667
sub_21:Test (Best Model) - Loss: 16.2000 - Accuracy: 0.5000 - F1: 0.4921
sub_21:Test (Best Model) - Loss: 17.4069 - Accuracy: 0.4688 - F1: 0.3976
sub_21:Test (Best Model) - Loss: 12.5301 - Accuracy: 0.3750 - F1: 0.3725
sub_21:Test (Best Model) - Loss: 18.3225 - Accuracy: 0.5938 - F1: 0.5901
sub_21:Test (Best Model) - Loss: 8.2698 - Accuracy: 0.6250 - F1: 0.5362
sub_21:Test (Best Model) - Loss: 13.0791 - Accuracy: 0.4375 - F1: 0.4286
sub_21:Test (Best Model) - Loss: 11.5037 - Accuracy: 0.5000 - F1: 0.4667
sub_21:Test (Best Model) - Loss: 17.8869 - Accuracy: 0.5938 - F1: 0.4793
sub_21:Test (Best Model) - Loss: 10.1483 - Accuracy: 0.5312 - F1: 0.4910
sub_21:Test (Best Model) - Loss: 10.6767 - Accuracy: 0.6562 - F1: 0.6102
sub_21:Test (Best Model) - Loss: 13.0333 - Accuracy: 0.3750 - F1: 0.3074
sub_21:Test (Best Model) - Loss: 12.3040 - Accuracy: 0.3750 - F1: 0.3333
sub_21:Test (Best Model) - Loss: 18.8605 - Accuracy: 0.3750 - F1: 0.3651
sub_21:Test (Best Model) - Loss: 7.8448 - Accuracy: 0.5312 - F1: 0.5077
sub_22:Test (Best Model) - Loss: 2.2497 - Accuracy: 0.8750 - F1: 0.8730
sub_22:Test (Best Model) - Loss: 5.7253 - Accuracy: 0.7812 - F1: 0.7625
sub_22:Test (Best Model) - Loss: 8.5526 - Accuracy: 0.7812 - F1: 0.7758
sub_22:Test (Best Model) - Loss: 3.1833 - Accuracy: 0.7812 - F1: 0.7703
sub_22:Test (Best Model) - Loss: 12.7222 - Accuracy: 0.7812 - F1: 0.7519
sub_22:Test (Best Model) - Loss: 11.4604 - Accuracy: 0.6970 - F1: 0.6413
sub_22:Test (Best Model) - Loss: 11.0300 - Accuracy: 0.6061 - F1: 0.4850
sub_22:Test (Best Model) - Loss: 10.1875 - Accuracy: 0.7273 - F1: 0.6857
sub_22:Test (Best Model) - Loss: 8.2853 - Accuracy: 0.8182 - F1: 0.8036
sub_22:Test (Best Model) - Loss: 5.4575 - Accuracy: 0.8182 - F1: 0.8139
sub_22:Test (Best Model) - Loss: 9.4180 - Accuracy: 0.6250 - F1: 0.6235
sub_22:Test (Best Model) - Loss: 13.5840 - Accuracy: 0.5625 - F1: 0.5556
sub_22:Test (Best Model) - Loss: 8.0550 - Accuracy: 0.8438 - F1: 0.8359
sub_22:Test (Best Model) - Loss: 4.9573 - Accuracy: 0.8438 - F1: 0.8398
sub_22:Test (Best Model) - Loss: 4.6554 - Accuracy: 0.8438 - F1: 0.8303
sub_23:Test (Best Model) - Loss: 6.3405 - Accuracy: 0.8485 - F1: 0.8485
sub_23:Test (Best Model) - Loss: 10.5782 - Accuracy: 0.7576 - F1: 0.7381
sub_23:Test (Best Model) - Loss: 3.5381 - Accuracy: 0.8788 - F1: 0.8731
sub_23:Test (Best Model) - Loss: 1.9151 - Accuracy: 0.9091 - F1: 0.9088
sub_23:Test (Best Model) - Loss: 4.6525 - Accuracy: 0.7879 - F1: 0.7664
sub_23:Test (Best Model) - Loss: 7.6488 - Accuracy: 0.6562 - F1: 0.6532
sub_23:Test (Best Model) - Loss: 6.0759 - Accuracy: 0.6250 - F1: 0.6190
sub_23:Test (Best Model) - Loss: 6.2689 - Accuracy: 0.8125 - F1: 0.8125
sub_23:Test (Best Model) - Loss: 9.5876 - Accuracy: 0.7188 - F1: 0.7185
sub_23:Test (Best Model) - Loss: 11.1803 - Accuracy: 0.7188 - F1: 0.7185
sub_23:Test (Best Model) - Loss: 1.0053 - Accuracy: 0.9697 - F1: 0.9692
sub_23:Test (Best Model) - Loss: 9.3441 - Accuracy: 0.7576 - F1: 0.7273
sub_23:Test (Best Model) - Loss: 5.1865 - Accuracy: 0.8485 - F1: 0.8390
sub_23:Test (Best Model) - Loss: 8.5631 - Accuracy: 0.8182 - F1: 0.8036
sub_23:Test (Best Model) - Loss: 2.1482 - Accuracy: 0.9394 - F1: 0.9380
sub_24:Test (Best Model) - Loss: 7.0299 - Accuracy: 0.5938 - F1: 0.5589
sub_24:Test (Best Model) - Loss: 7.2903 - Accuracy: 0.5312 - F1: 0.5195
sub_24:Test (Best Model) - Loss: 8.6674 - Accuracy: 0.5312 - F1: 0.5077
sub_24:Test (Best Model) - Loss: 12.7884 - Accuracy: 0.6250 - F1: 0.6113
sub_24:Test (Best Model) - Loss: 6.8363 - Accuracy: 0.6875 - F1: 0.6863
sub_24:Test (Best Model) - Loss: 8.3243 - Accuracy: 0.6250 - F1: 0.5844
sub_24:Test (Best Model) - Loss: 7.7316 - Accuracy: 0.5938 - F1: 0.4793
sub_24:Test (Best Model) - Loss: 11.9593 - Accuracy: 0.5000 - F1: 0.3333
sub_24:Test (Best Model) - Loss: 6.1573 - Accuracy: 0.5625 - F1: 0.4909
sub_24:Test (Best Model) - Loss: 4.6248 - Accuracy: 0.6562 - F1: 0.6532
sub_24:Test (Best Model) - Loss: 8.4548 - Accuracy: 0.5938 - F1: 0.5934
sub_24:Test (Best Model) - Loss: 6.3250 - Accuracy: 0.5938 - F1: 0.5733
sub_24:Test (Best Model) - Loss: 8.9125 - Accuracy: 0.5312 - F1: 0.5195
sub_24:Test (Best Model) - Loss: 10.0975 - Accuracy: 0.5000 - F1: 0.4459
sub_24:Test (Best Model) - Loss: 11.0298 - Accuracy: 0.5312 - F1: 0.5077
sub_25:Test (Best Model) - Loss: 25.2890 - Accuracy: 0.5455 - F1: 0.3529
sub_25:Test (Best Model) - Loss: 8.9367 - Accuracy: 0.3636 - F1: 0.3419
sub_25:Test (Best Model) - Loss: 8.0028 - Accuracy: 0.6061 - F1: 0.6061
sub_25:Test (Best Model) - Loss: 7.7358 - Accuracy: 0.3939 - F1: 0.3934
sub_25:Test (Best Model) - Loss: 10.4164 - Accuracy: 0.5152 - F1: 0.5111
sub_25:Test (Best Model) - Loss: 10.2842 - Accuracy: 0.6250 - F1: 0.5000
sub_25:Test (Best Model) - Loss: 5.8296 - Accuracy: 0.6875 - F1: 0.6825
sub_25:Test (Best Model) - Loss: 7.2355 - Accuracy: 0.6562 - F1: 0.6559
sub_25:Test (Best Model) - Loss: 12.8792 - Accuracy: 0.6250 - F1: 0.5844
sub_25:Test (Best Model) - Loss: 7.7262 - Accuracy: 0.6250 - F1: 0.6235
sub_25:Test (Best Model) - Loss: 10.3124 - Accuracy: 0.7500 - F1: 0.7333
sub_25:Test (Best Model) - Loss: 3.6683 - Accuracy: 0.7812 - F1: 0.7810
sub_25:Test (Best Model) - Loss: 6.3309 - Accuracy: 0.6250 - F1: 0.5362
sub_25:Test (Best Model) - Loss: 9.7312 - Accuracy: 0.6875 - F1: 0.6667
sub_25:Test (Best Model) - Loss: 3.7119 - Accuracy: 0.7500 - F1: 0.7333
sub_26:Test (Best Model) - Loss: 0.0189 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 1.5738 - Accuracy: 0.9394 - F1: 0.9380
sub_26:Test (Best Model) - Loss: 2.5648 - Accuracy: 0.7879 - F1: 0.7746
sub_26:Test (Best Model) - Loss: 0.3294 - Accuracy: 0.9697 - F1: 0.9692
sub_26:Test (Best Model) - Loss: 3.9252 - Accuracy: 0.8485 - F1: 0.8390
sub_26:Test (Best Model) - Loss: 6.7230 - Accuracy: 0.7812 - F1: 0.7793
sub_26:Test (Best Model) - Loss: 68.2897 - Accuracy: 0.4688 - F1: 0.3637
sub_26:Test (Best Model) - Loss: 12.1987 - Accuracy: 0.6562 - F1: 0.6532
sub_26:Test (Best Model) - Loss: 13.7443 - Accuracy: 0.6875 - F1: 0.6825
sub_26:Test (Best Model) - Loss: 35.7319 - Accuracy: 0.5312 - F1: 0.4684
sub_26:Test (Best Model) - Loss: 1.4200 - Accuracy: 0.9375 - F1: 0.9352
sub_26:Test (Best Model) - Loss: 3.0036 - Accuracy: 0.9062 - F1: 0.9039
sub_26:Test (Best Model) - Loss: 11.7007 - Accuracy: 0.8438 - F1: 0.8303
sub_26:Test (Best Model) - Loss: 2.0022 - Accuracy: 0.8750 - F1: 0.8704
sub_26:Test (Best Model) - Loss: 13.6266 - Accuracy: 0.8125 - F1: 0.7922
sub_27:Test (Best Model) - Loss: 8.7514 - Accuracy: 0.6667 - F1: 0.6617
sub_27:Test (Best Model) - Loss: 27.8981 - Accuracy: 0.5455 - F1: 0.3529
sub_27:Test (Best Model) - Loss: 10.6353 - Accuracy: 0.5455 - F1: 0.4762
sub_27:Test (Best Model) - Loss: 13.5029 - Accuracy: 0.5455 - F1: 0.4995
sub_27:Test (Best Model) - Loss: 10.1962 - Accuracy: 0.6970 - F1: 0.6413
sub_27:Test (Best Model) - Loss: 8.2310 - Accuracy: 0.5758 - F1: 0.5658
sub_27:Test (Best Model) - Loss: 4.7069 - Accuracy: 0.6061 - F1: 0.5926
sub_27:Test (Best Model) - Loss: 21.9610 - Accuracy: 0.5455 - F1: 0.4995
sub_27:Test (Best Model) - Loss: 12.1354 - Accuracy: 0.6364 - F1: 0.6360
sub_27:Test (Best Model) - Loss: 2.7537 - Accuracy: 0.8485 - F1: 0.8390
sub_27:Test (Best Model) - Loss: 21.1296 - Accuracy: 0.3750 - F1: 0.3074
sub_27:Test (Best Model) - Loss: 4.8890 - Accuracy: 0.6875 - F1: 0.6825
sub_27:Test (Best Model) - Loss: 13.1036 - Accuracy: 0.5000 - F1: 0.4182
sub_27:Test (Best Model) - Loss: 10.0233 - Accuracy: 0.5625 - F1: 0.4909
sub_27:Test (Best Model) - Loss: 20.9610 - Accuracy: 0.5625 - F1: 0.5556
sub_28:Test (Best Model) - Loss: 4.4712 - Accuracy: 0.8125 - F1: 0.8125
sub_28:Test (Best Model) - Loss: 14.6451 - Accuracy: 0.6562 - F1: 0.6267
sub_28:Test (Best Model) - Loss: 12.8704 - Accuracy: 0.5000 - F1: 0.4921
sub_28:Test (Best Model) - Loss: 14.5005 - Accuracy: 0.5938 - F1: 0.5393
sub_28:Test (Best Model) - Loss: 11.1761 - Accuracy: 0.4375 - F1: 0.4286
sub_28:Test (Best Model) - Loss: 32.8855 - Accuracy: 0.3438 - F1: 0.3431
sub_28:Test (Best Model) - Loss: 33.8347 - Accuracy: 0.5000 - F1: 0.5000
sub_28:Test (Best Model) - Loss: 32.9842 - Accuracy: 0.5000 - F1: 0.4921
sub_28:Test (Best Model) - Loss: 22.8079 - Accuracy: 0.5938 - F1: 0.5589
sub_28:Test (Best Model) - Loss: 37.4224 - Accuracy: 0.5625 - F1: 0.4909
sub_28:Test (Best Model) - Loss: 34.4846 - Accuracy: 0.4062 - F1: 0.2889
sub_28:Test (Best Model) - Loss: 25.5452 - Accuracy: 0.4062 - F1: 0.3552
sub_28:Test (Best Model) - Loss: 7.4593 - Accuracy: 0.5625 - F1: 0.5608
sub_28:Test (Best Model) - Loss: 11.9026 - Accuracy: 0.5625 - F1: 0.4589
sub_28:Test (Best Model) - Loss: 13.0515 - Accuracy: 0.4375 - F1: 0.3766
sub_29:Test (Best Model) - Loss: 1.6889 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 6.6855 - Accuracy: 0.9375 - F1: 0.9365
sub_29:Test (Best Model) - Loss: 0.0002 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 12.3159 - Accuracy: 0.8438 - F1: 0.8303
sub_29:Test (Best Model) - Loss: 10.2048 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 3.3778 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 0.0029 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 1.4063 - Accuracy: 0.9375 - F1: 0.9373
sub_29:Test (Best Model) - Loss: 1.0498 - Accuracy: 0.9062 - F1: 0.9054
sub_29:Test (Best Model) - Loss: 1.3710 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 0.7119 - Accuracy: 0.9091 - F1: 0.9088
sub_29:Test (Best Model) - Loss: 1.0028 - Accuracy: 0.9697 - F1: 0.9696
sub_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 2.0756 - Accuracy: 0.9697 - F1: 0.9692
sub_29:Test (Best Model) - Loss: 0.6198 - Accuracy: 0.9697 - F1: 0.9692

=== Summary Results ===

acc: 70.14 ± 12.60
F1: 67.60 ± 14.04
acc-in: 81.25 ± 9.80
F1-in: 78.65 ± 11.87
