lr: 0.001
sub_1:Test (Best Model) - Loss: 19.0586 - Accuracy: 0.3971 - F1: 0.4239
sub_1:Test (Best Model) - Loss: 11.7609 - Accuracy: 0.4853 - F1: 0.4873
sub_1:Test (Best Model) - Loss: 17.3605 - Accuracy: 0.4559 - F1: 0.4885
sub_1:Test (Best Model) - Loss: 14.0669 - Accuracy: 0.4559 - F1: 0.4433
sub_1:Test (Best Model) - Loss: 19.1408 - Accuracy: 0.4265 - F1: 0.4222
sub_1:Test (Best Model) - Loss: 19.7108 - Accuracy: 0.4348 - F1: 0.4371
sub_1:Test (Best Model) - Loss: 14.1673 - Accuracy: 0.4348 - F1: 0.4467
sub_1:Test (Best Model) - Loss: 19.6323 - Accuracy: 0.4783 - F1: 0.4311
sub_1:Test (Best Model) - Loss: 12.0621 - Accuracy: 0.4638 - F1: 0.4358
sub_1:Test (Best Model) - Loss: 20.0630 - Accuracy: 0.4348 - F1: 0.3583
sub_1:Test (Best Model) - Loss: 15.5014 - Accuracy: 0.5588 - F1: 0.4990
sub_1:Test (Best Model) - Loss: 7.5491 - Accuracy: 0.5882 - F1: 0.6043
sub_1:Test (Best Model) - Loss: 10.0003 - Accuracy: 0.6176 - F1: 0.6223
sub_1:Test (Best Model) - Loss: 17.0903 - Accuracy: 0.4118 - F1: 0.4209
sub_1:Test (Best Model) - Loss: 22.7284 - Accuracy: 0.5735 - F1: 0.5316
sub_2:Test (Best Model) - Loss: 24.0151 - Accuracy: 0.2899 - F1: 0.3237
sub_2:Test (Best Model) - Loss: 23.6694 - Accuracy: 0.2319 - F1: 0.2448
sub_2:Test (Best Model) - Loss: 25.7686 - Accuracy: 0.3333 - F1: 0.3324
sub_2:Test (Best Model) - Loss: 27.8959 - Accuracy: 0.3623 - F1: 0.3768
sub_2:Test (Best Model) - Loss: 33.4199 - Accuracy: 0.2754 - F1: 0.2922
sub_2:Test (Best Model) - Loss: 16.2603 - Accuracy: 0.3235 - F1: 0.2954
sub_2:Test (Best Model) - Loss: 30.1469 - Accuracy: 0.2353 - F1: 0.2368
sub_2:Test (Best Model) - Loss: 20.3072 - Accuracy: 0.5294 - F1: 0.5132
sub_2:Test (Best Model) - Loss: 9.7004 - Accuracy: 0.5882 - F1: 0.5567
sub_2:Test (Best Model) - Loss: 16.2744 - Accuracy: 0.4118 - F1: 0.3685
sub_2:Test (Best Model) - Loss: 29.1031 - Accuracy: 0.2464 - F1: 0.1789
sub_2:Test (Best Model) - Loss: 13.0475 - Accuracy: 0.3768 - F1: 0.3861
sub_2:Test (Best Model) - Loss: 8.6952 - Accuracy: 0.4638 - F1: 0.4738
sub_2:Test (Best Model) - Loss: 22.5172 - Accuracy: 0.3913 - F1: 0.3722
sub_2:Test (Best Model) - Loss: 12.6335 - Accuracy: 0.5217 - F1: 0.5163
sub_3:Test (Best Model) - Loss: 22.7847 - Accuracy: 0.4118 - F1: 0.3985
sub_3:Test (Best Model) - Loss: 20.8390 - Accuracy: 0.3676 - F1: 0.3306
sub_3:Test (Best Model) - Loss: 32.1440 - Accuracy: 0.2941 - F1: 0.3030
sub_3:Test (Best Model) - Loss: 16.8709 - Accuracy: 0.3676 - F1: 0.3556
sub_3:Test (Best Model) - Loss: 19.1297 - Accuracy: 0.3676 - F1: 0.3765
sub_3:Test (Best Model) - Loss: 23.2213 - Accuracy: 0.2899 - F1: 0.2792
sub_3:Test (Best Model) - Loss: 26.2163 - Accuracy: 0.2609 - F1: 0.2582
sub_3:Test (Best Model) - Loss: 16.2489 - Accuracy: 0.2754 - F1: 0.2815
sub_3:Test (Best Model) - Loss: 20.6683 - Accuracy: 0.3768 - F1: 0.3249
sub_3:Test (Best Model) - Loss: 17.4158 - Accuracy: 0.4783 - F1: 0.4460
sub_3:Test (Best Model) - Loss: 24.5783 - Accuracy: 0.3478 - F1: 0.3525
sub_3:Test (Best Model) - Loss: 29.4239 - Accuracy: 0.4058 - F1: 0.3962
sub_3:Test (Best Model) - Loss: 34.9717 - Accuracy: 0.2754 - F1: 0.2764
sub_3:Test (Best Model) - Loss: 19.1603 - Accuracy: 0.3768 - F1: 0.3767
sub_3:Test (Best Model) - Loss: 18.6059 - Accuracy: 0.3043 - F1: 0.3082
sub_4:Test (Best Model) - Loss: 10.9090 - Accuracy: 0.6667 - F1: 0.6655
sub_4:Test (Best Model) - Loss: 18.9670 - Accuracy: 0.6087 - F1: 0.5760
sub_4:Test (Best Model) - Loss: 13.9205 - Accuracy: 0.5217 - F1: 0.4949
sub_4:Test (Best Model) - Loss: 16.2545 - Accuracy: 0.5797 - F1: 0.5825
sub_4:Test (Best Model) - Loss: 14.5446 - Accuracy: 0.5652 - F1: 0.5572
sub_4:Test (Best Model) - Loss: 19.0918 - Accuracy: 0.5217 - F1: 0.4799
sub_4:Test (Best Model) - Loss: 12.7579 - Accuracy: 0.5217 - F1: 0.5576
sub_4:Test (Best Model) - Loss: 10.7505 - Accuracy: 0.6232 - F1: 0.6124
sub_4:Test (Best Model) - Loss: 20.0952 - Accuracy: 0.5362 - F1: 0.4477
sub_4:Test (Best Model) - Loss: 13.4375 - Accuracy: 0.4638 - F1: 0.4755
sub_4:Test (Best Model) - Loss: 32.7090 - Accuracy: 0.3333 - F1: 0.2396
sub_4:Test (Best Model) - Loss: 21.2065 - Accuracy: 0.5072 - F1: 0.4710
sub_4:Test (Best Model) - Loss: 21.2245 - Accuracy: 0.4493 - F1: 0.4153
sub_4:Test (Best Model) - Loss: 13.2816 - Accuracy: 0.4638 - F1: 0.4582
sub_4:Test (Best Model) - Loss: 17.9293 - Accuracy: 0.5072 - F1: 0.4823
sub_5:Test (Best Model) - Loss: 41.0757 - Accuracy: 0.5441 - F1: 0.5085
sub_5:Test (Best Model) - Loss: 100.2239 - Accuracy: 0.3824 - F1: 0.3192
sub_5:Test (Best Model) - Loss: 41.3407 - Accuracy: 0.5147 - F1: 0.4832
sub_5:Test (Best Model) - Loss: 22.6740 - Accuracy: 0.4559 - F1: 0.4449
sub_5:Test (Best Model) - Loss: 59.0445 - Accuracy: 0.3971 - F1: 0.3398
sub_5:Test (Best Model) - Loss: 19.1113 - Accuracy: 0.5882 - F1: 0.5394
sub_5:Test (Best Model) - Loss: 11.6703 - Accuracy: 0.6176 - F1: 0.5877
sub_5:Test (Best Model) - Loss: 15.1990 - Accuracy: 0.6176 - F1: 0.6276
sub_5:Test (Best Model) - Loss: 20.0016 - Accuracy: 0.5441 - F1: 0.5181
sub_5:Test (Best Model) - Loss: 12.6458 - Accuracy: 0.5588 - F1: 0.5497
sub_5:Test (Best Model) - Loss: 23.0312 - Accuracy: 0.4265 - F1: 0.4544
sub_5:Test (Best Model) - Loss: 14.4917 - Accuracy: 0.5147 - F1: 0.5013
sub_5:Test (Best Model) - Loss: 14.6025 - Accuracy: 0.4118 - F1: 0.3919
sub_5:Test (Best Model) - Loss: 14.5314 - Accuracy: 0.4412 - F1: 0.4431
sub_5:Test (Best Model) - Loss: 11.8149 - Accuracy: 0.4559 - F1: 0.4370
sub_6:Test (Best Model) - Loss: 8.5200 - Accuracy: 0.4265 - F1: 0.4405
sub_6:Test (Best Model) - Loss: 15.2985 - Accuracy: 0.3088 - F1: 0.2997
sub_6:Test (Best Model) - Loss: 13.7572 - Accuracy: 0.4706 - F1: 0.4572
sub_6:Test (Best Model) - Loss: 15.5656 - Accuracy: 0.3971 - F1: 0.3932
sub_6:Test (Best Model) - Loss: 16.8473 - Accuracy: 0.4412 - F1: 0.4170
sub_6:Test (Best Model) - Loss: 15.9977 - Accuracy: 0.4203 - F1: 0.4282
sub_6:Test (Best Model) - Loss: 20.6178 - Accuracy: 0.4348 - F1: 0.4053
sub_6:Test (Best Model) - Loss: 38.1172 - Accuracy: 0.3913 - F1: 0.3366
sub_6:Test (Best Model) - Loss: 16.8734 - Accuracy: 0.3913 - F1: 0.3648
sub_6:Test (Best Model) - Loss: 22.1792 - Accuracy: 0.4058 - F1: 0.3891
sub_6:Test (Best Model) - Loss: 17.2760 - Accuracy: 0.4203 - F1: 0.4244
sub_6:Test (Best Model) - Loss: 28.2086 - Accuracy: 0.3333 - F1: 0.3290
sub_6:Test (Best Model) - Loss: 15.7698 - Accuracy: 0.3913 - F1: 0.4225
sub_6:Test (Best Model) - Loss: 22.3015 - Accuracy: 0.4493 - F1: 0.4240
sub_6:Test (Best Model) - Loss: 14.7090 - Accuracy: 0.5072 - F1: 0.4828
sub_7:Test (Best Model) - Loss: 10.6724 - Accuracy: 0.6765 - F1: 0.6551
sub_7:Test (Best Model) - Loss: 13.9326 - Accuracy: 0.6471 - F1: 0.6044
sub_7:Test (Best Model) - Loss: 12.0151 - Accuracy: 0.5735 - F1: 0.5244
sub_7:Test (Best Model) - Loss: 10.5494 - Accuracy: 0.5882 - F1: 0.5694
sub_7:Test (Best Model) - Loss: 8.8688 - Accuracy: 0.6324 - F1: 0.6181
sub_7:Test (Best Model) - Loss: 23.8959 - Accuracy: 0.3971 - F1: 0.3669
sub_7:Test (Best Model) - Loss: 29.3108 - Accuracy: 0.4706 - F1: 0.4067
sub_7:Test (Best Model) - Loss: 23.3256 - Accuracy: 0.4412 - F1: 0.4507
sub_7:Test (Best Model) - Loss: 15.7464 - Accuracy: 0.5147 - F1: 0.5154
sub_7:Test (Best Model) - Loss: 32.8026 - Accuracy: 0.5294 - F1: 0.5316
sub_7:Test (Best Model) - Loss: 22.5461 - Accuracy: 0.4706 - F1: 0.4652
sub_7:Test (Best Model) - Loss: 11.6621 - Accuracy: 0.5441 - F1: 0.5076
sub_7:Test (Best Model) - Loss: 22.3281 - Accuracy: 0.4412 - F1: 0.4296
sub_7:Test (Best Model) - Loss: 20.4062 - Accuracy: 0.5441 - F1: 0.5538
sub_7:Test (Best Model) - Loss: 23.7496 - Accuracy: 0.4853 - F1: 0.4887
sub_8:Test (Best Model) - Loss: 30.1551 - Accuracy: 0.2059 - F1: 0.2036
sub_8:Test (Best Model) - Loss: 25.4619 - Accuracy: 0.3382 - F1: 0.3625
sub_8:Test (Best Model) - Loss: 22.9112 - Accuracy: 0.3676 - F1: 0.3653
sub_8:Test (Best Model) - Loss: 19.0763 - Accuracy: 0.2941 - F1: 0.2968
sub_8:Test (Best Model) - Loss: 30.2489 - Accuracy: 0.2647 - F1: 0.2304
sub_8:Test (Best Model) - Loss: 13.1406 - Accuracy: 0.3824 - F1: 0.3962
sub_8:Test (Best Model) - Loss: 22.7139 - Accuracy: 0.3824 - F1: 0.3935
sub_8:Test (Best Model) - Loss: 18.2126 - Accuracy: 0.4118 - F1: 0.4089
sub_8:Test (Best Model) - Loss: 16.9957 - Accuracy: 0.2794 - F1: 0.3058
sub_8:Test (Best Model) - Loss: 14.6231 - Accuracy: 0.3088 - F1: 0.3221
sub_8:Test (Best Model) - Loss: 38.8602 - Accuracy: 0.3088 - F1: 0.3474
sub_8:Test (Best Model) - Loss: 26.8706 - Accuracy: 0.4559 - F1: 0.4187
sub_8:Test (Best Model) - Loss: 32.6508 - Accuracy: 0.2941 - F1: 0.3395
sub_8:Test (Best Model) - Loss: 19.6757 - Accuracy: 0.5000 - F1: 0.5209
sub_8:Test (Best Model) - Loss: 17.5150 - Accuracy: 0.3676 - F1: 0.3863
sub_9:Test (Best Model) - Loss: 15.6279 - Accuracy: 0.5882 - F1: 0.5941
sub_9:Test (Best Model) - Loss: 18.2600 - Accuracy: 0.5735 - F1: 0.5960
sub_9:Test (Best Model) - Loss: 21.9948 - Accuracy: 0.4559 - F1: 0.4834
sub_9:Test (Best Model) - Loss: 14.3870 - Accuracy: 0.4853 - F1: 0.5069
sub_9:Test (Best Model) - Loss: 17.6616 - Accuracy: 0.5735 - F1: 0.5772
sub_9:Test (Best Model) - Loss: 36.9364 - Accuracy: 0.3382 - F1: 0.3456
sub_9:Test (Best Model) - Loss: 29.8403 - Accuracy: 0.3382 - F1: 0.3263
sub_9:Test (Best Model) - Loss: 34.6813 - Accuracy: 0.3676 - F1: 0.3399
sub_9:Test (Best Model) - Loss: 32.4218 - Accuracy: 0.4412 - F1: 0.4087
sub_9:Test (Best Model) - Loss: 31.0846 - Accuracy: 0.3382 - F1: 0.3142
sub_9:Test (Best Model) - Loss: 23.0808 - Accuracy: 0.4853 - F1: 0.4495
sub_9:Test (Best Model) - Loss: 25.9973 - Accuracy: 0.4412 - F1: 0.4463
sub_9:Test (Best Model) - Loss: 17.8033 - Accuracy: 0.5000 - F1: 0.5229
sub_9:Test (Best Model) - Loss: 25.4141 - Accuracy: 0.3824 - F1: 0.4168
sub_9:Test (Best Model) - Loss: 13.6729 - Accuracy: 0.5000 - F1: 0.5337
sub_10:Test (Best Model) - Loss: 16.3090 - Accuracy: 0.3676 - F1: 0.3844
sub_10:Test (Best Model) - Loss: 20.9024 - Accuracy: 0.3824 - F1: 0.3758
sub_10:Test (Best Model) - Loss: 15.3480 - Accuracy: 0.5147 - F1: 0.5432
sub_10:Test (Best Model) - Loss: 15.1582 - Accuracy: 0.4853 - F1: 0.5003
sub_10:Test (Best Model) - Loss: 14.3383 - Accuracy: 0.4706 - F1: 0.4925
sub_10:Test (Best Model) - Loss: 18.8308 - Accuracy: 0.3824 - F1: 0.3472
sub_10:Test (Best Model) - Loss: 22.1911 - Accuracy: 0.3824 - F1: 0.3833
sub_10:Test (Best Model) - Loss: 24.2863 - Accuracy: 0.4118 - F1: 0.4045
sub_10:Test (Best Model) - Loss: 17.6248 - Accuracy: 0.4853 - F1: 0.4929
sub_10:Test (Best Model) - Loss: 22.5884 - Accuracy: 0.3676 - F1: 0.3425
sub_10:Test (Best Model) - Loss: 18.6789 - Accuracy: 0.3913 - F1: 0.4135
sub_10:Test (Best Model) - Loss: 24.2288 - Accuracy: 0.3913 - F1: 0.4146
sub_10:Test (Best Model) - Loss: 16.3109 - Accuracy: 0.3188 - F1: 0.3361
sub_10:Test (Best Model) - Loss: 14.2438 - Accuracy: 0.3623 - F1: 0.3677
sub_10:Test (Best Model) - Loss: 14.7069 - Accuracy: 0.3623 - F1: 0.3777
sub_11:Test (Best Model) - Loss: 21.4696 - Accuracy: 0.4348 - F1: 0.4319
sub_11:Test (Best Model) - Loss: 24.0985 - Accuracy: 0.3623 - F1: 0.2768
sub_11:Test (Best Model) - Loss: 25.4356 - Accuracy: 0.4638 - F1: 0.4273
sub_11:Test (Best Model) - Loss: 20.2006 - Accuracy: 0.3623 - F1: 0.3243
sub_11:Test (Best Model) - Loss: 30.1403 - Accuracy: 0.3333 - F1: 0.3006
sub_11:Test (Best Model) - Loss: 20.9577 - Accuracy: 0.4203 - F1: 0.4153
sub_11:Test (Best Model) - Loss: 22.1546 - Accuracy: 0.4058 - F1: 0.3601
sub_11:Test (Best Model) - Loss: 16.4503 - Accuracy: 0.5507 - F1: 0.5406
sub_11:Test (Best Model) - Loss: 23.8240 - Accuracy: 0.4203 - F1: 0.3684
sub_11:Test (Best Model) - Loss: 12.0900 - Accuracy: 0.4493 - F1: 0.4401
sub_11:Test (Best Model) - Loss: 11.8365 - Accuracy: 0.4928 - F1: 0.4775
sub_11:Test (Best Model) - Loss: 17.4383 - Accuracy: 0.5072 - F1: 0.4408
sub_11:Test (Best Model) - Loss: 17.6827 - Accuracy: 0.4058 - F1: 0.3716
sub_11:Test (Best Model) - Loss: 13.8073 - Accuracy: 0.4783 - F1: 0.4764
sub_11:Test (Best Model) - Loss: 19.5468 - Accuracy: 0.4348 - F1: 0.3977
sub_12:Test (Best Model) - Loss: 17.8254 - Accuracy: 0.5294 - F1: 0.5066
sub_12:Test (Best Model) - Loss: 11.3761 - Accuracy: 0.5294 - F1: 0.4942
sub_12:Test (Best Model) - Loss: 12.0857 - Accuracy: 0.6176 - F1: 0.6006
sub_12:Test (Best Model) - Loss: 11.4611 - Accuracy: 0.6029 - F1: 0.5966
sub_12:Test (Best Model) - Loss: 16.4616 - Accuracy: 0.5441 - F1: 0.5365
sub_12:Test (Best Model) - Loss: 12.6413 - Accuracy: 0.4783 - F1: 0.4929
sub_12:Test (Best Model) - Loss: 15.9722 - Accuracy: 0.4928 - F1: 0.4898
sub_12:Test (Best Model) - Loss: 12.9991 - Accuracy: 0.5797 - F1: 0.5575
sub_12:Test (Best Model) - Loss: 16.6723 - Accuracy: 0.4783 - F1: 0.4998
sub_12:Test (Best Model) - Loss: 14.6202 - Accuracy: 0.6377 - F1: 0.6641
sub_12:Test (Best Model) - Loss: 24.3488 - Accuracy: 0.3971 - F1: 0.3789
sub_12:Test (Best Model) - Loss: 19.8120 - Accuracy: 0.3824 - F1: 0.3635
sub_12:Test (Best Model) - Loss: 17.5062 - Accuracy: 0.4706 - F1: 0.4471
sub_12:Test (Best Model) - Loss: 18.3893 - Accuracy: 0.4706 - F1: 0.4707
sub_12:Test (Best Model) - Loss: 14.2446 - Accuracy: 0.4412 - F1: 0.4596
sub_13:Test (Best Model) - Loss: 23.2714 - Accuracy: 0.4118 - F1: 0.4019
sub_13:Test (Best Model) - Loss: 12.3588 - Accuracy: 0.5294 - F1: 0.5280
sub_13:Test (Best Model) - Loss: 21.0303 - Accuracy: 0.5147 - F1: 0.4675
sub_13:Test (Best Model) - Loss: 21.7089 - Accuracy: 0.3824 - F1: 0.4016
sub_13:Test (Best Model) - Loss: 14.5747 - Accuracy: 0.4118 - F1: 0.4233
sub_13:Test (Best Model) - Loss: 21.3999 - Accuracy: 0.4348 - F1: 0.4478
sub_13:Test (Best Model) - Loss: 32.1729 - Accuracy: 0.4058 - F1: 0.4135
sub_13:Test (Best Model) - Loss: 25.4969 - Accuracy: 0.3478 - F1: 0.3098
sub_13:Test (Best Model) - Loss: 25.9238 - Accuracy: 0.3913 - F1: 0.3806
sub_13:Test (Best Model) - Loss: 21.9593 - Accuracy: 0.4493 - F1: 0.4441
sub_13:Test (Best Model) - Loss: 17.2679 - Accuracy: 0.3676 - F1: 0.3775
sub_13:Test (Best Model) - Loss: 12.4165 - Accuracy: 0.4118 - F1: 0.4279
sub_13:Test (Best Model) - Loss: 27.7207 - Accuracy: 0.3676 - F1: 0.3495
sub_13:Test (Best Model) - Loss: 18.5254 - Accuracy: 0.3676 - F1: 0.3881
sub_13:Test (Best Model) - Loss: 24.7910 - Accuracy: 0.3824 - F1: 0.3541
sub_14:Test (Best Model) - Loss: 22.2285 - Accuracy: 0.4118 - F1: 0.4139
sub_14:Test (Best Model) - Loss: 18.7838 - Accuracy: 0.4853 - F1: 0.4739
sub_14:Test (Best Model) - Loss: 25.1251 - Accuracy: 0.4706 - F1: 0.4198
sub_14:Test (Best Model) - Loss: 26.5453 - Accuracy: 0.3088 - F1: 0.2805
sub_14:Test (Best Model) - Loss: 21.7030 - Accuracy: 0.3529 - F1: 0.3667
sub_14:Test (Best Model) - Loss: 17.0613 - Accuracy: 0.4265 - F1: 0.4411
sub_14:Test (Best Model) - Loss: 18.6240 - Accuracy: 0.3676 - F1: 0.3644
sub_14:Test (Best Model) - Loss: 19.4799 - Accuracy: 0.4118 - F1: 0.4331
sub_14:Test (Best Model) - Loss: 18.7507 - Accuracy: 0.4118 - F1: 0.4285
sub_14:Test (Best Model) - Loss: 16.8712 - Accuracy: 0.5000 - F1: 0.4737
sub_14:Test (Best Model) - Loss: 22.4688 - Accuracy: 0.4412 - F1: 0.4202
sub_14:Test (Best Model) - Loss: 21.4342 - Accuracy: 0.4265 - F1: 0.3981
sub_14:Test (Best Model) - Loss: 25.6993 - Accuracy: 0.4118 - F1: 0.3789
sub_14:Test (Best Model) - Loss: 25.3072 - Accuracy: 0.3382 - F1: 0.3209
sub_14:Test (Best Model) - Loss: 21.6525 - Accuracy: 0.4559 - F1: 0.4361
sub_15:Test (Best Model) - Loss: 25.6243 - Accuracy: 0.3971 - F1: 0.3968
sub_15:Test (Best Model) - Loss: 23.7810 - Accuracy: 0.5000 - F1: 0.5123
sub_15:Test (Best Model) - Loss: 21.6909 - Accuracy: 0.3971 - F1: 0.4255
sub_15:Test (Best Model) - Loss: 16.6011 - Accuracy: 0.5000 - F1: 0.5150
sub_15:Test (Best Model) - Loss: 21.2765 - Accuracy: 0.4559 - F1: 0.4584
sub_15:Test (Best Model) - Loss: 16.8605 - Accuracy: 0.4853 - F1: 0.4774
sub_15:Test (Best Model) - Loss: 13.7218 - Accuracy: 0.5882 - F1: 0.5972
sub_15:Test (Best Model) - Loss: 23.1207 - Accuracy: 0.4559 - F1: 0.4384
sub_15:Test (Best Model) - Loss: 16.7433 - Accuracy: 0.4706 - F1: 0.4532
sub_15:Test (Best Model) - Loss: 22.6530 - Accuracy: 0.6029 - F1: 0.5929
sub_15:Test (Best Model) - Loss: 18.0697 - Accuracy: 0.3676 - F1: 0.3028
sub_15:Test (Best Model) - Loss: 12.8014 - Accuracy: 0.4559 - F1: 0.4707
sub_15:Test (Best Model) - Loss: 23.9135 - Accuracy: 0.5000 - F1: 0.4750
sub_15:Test (Best Model) - Loss: 17.2144 - Accuracy: 0.4853 - F1: 0.4719
sub_15:Test (Best Model) - Loss: 16.9098 - Accuracy: 0.4706 - F1: 0.4584
sub_16:Test (Best Model) - Loss: 15.4441 - Accuracy: 0.5147 - F1: 0.4501
sub_16:Test (Best Model) - Loss: 9.7063 - Accuracy: 0.5735 - F1: 0.4890
sub_16:Test (Best Model) - Loss: 11.9270 - Accuracy: 0.5294 - F1: 0.4396
sub_16:Test (Best Model) - Loss: 16.0593 - Accuracy: 0.5441 - F1: 0.5291
sub_16:Test (Best Model) - Loss: 14.9199 - Accuracy: 0.5588 - F1: 0.5263
sub_16:Test (Best Model) - Loss: 23.9776 - Accuracy: 0.5294 - F1: 0.4884
sub_16:Test (Best Model) - Loss: 16.6659 - Accuracy: 0.5882 - F1: 0.5684
sub_16:Test (Best Model) - Loss: 12.4566 - Accuracy: 0.5882 - F1: 0.5807
sub_16:Test (Best Model) - Loss: 10.4266 - Accuracy: 0.6324 - F1: 0.5933
sub_16:Test (Best Model) - Loss: 22.4739 - Accuracy: 0.4559 - F1: 0.3992
sub_16:Test (Best Model) - Loss: 15.8017 - Accuracy: 0.4412 - F1: 0.4612
sub_16:Test (Best Model) - Loss: 12.8416 - Accuracy: 0.6029 - F1: 0.5246
sub_16:Test (Best Model) - Loss: 5.6023 - Accuracy: 0.6912 - F1: 0.6675
sub_16:Test (Best Model) - Loss: 15.7181 - Accuracy: 0.4706 - F1: 0.4637
sub_16:Test (Best Model) - Loss: 15.7739 - Accuracy: 0.5000 - F1: 0.4598
sub_17:Test (Best Model) - Loss: 15.1244 - Accuracy: 0.4638 - F1: 0.4592
sub_17:Test (Best Model) - Loss: 24.6389 - Accuracy: 0.4783 - F1: 0.4816
sub_17:Test (Best Model) - Loss: 21.4318 - Accuracy: 0.4348 - F1: 0.3930
sub_17:Test (Best Model) - Loss: 17.1496 - Accuracy: 0.4058 - F1: 0.4146
sub_17:Test (Best Model) - Loss: 14.3850 - Accuracy: 0.4493 - F1: 0.4326
sub_17:Test (Best Model) - Loss: 20.8881 - Accuracy: 0.4783 - F1: 0.4453
sub_17:Test (Best Model) - Loss: 40.0708 - Accuracy: 0.5217 - F1: 0.4766
sub_17:Test (Best Model) - Loss: 33.4920 - Accuracy: 0.4058 - F1: 0.3548
sub_17:Test (Best Model) - Loss: 37.4399 - Accuracy: 0.4348 - F1: 0.4126
sub_17:Test (Best Model) - Loss: 34.0984 - Accuracy: 0.3478 - F1: 0.3133
sub_17:Test (Best Model) - Loss: 17.6976 - Accuracy: 0.4559 - F1: 0.4071
sub_17:Test (Best Model) - Loss: 17.4110 - Accuracy: 0.4118 - F1: 0.4086
sub_17:Test (Best Model) - Loss: 20.8931 - Accuracy: 0.4412 - F1: 0.4426
sub_17:Test (Best Model) - Loss: 20.9435 - Accuracy: 0.4412 - F1: 0.4318
sub_17:Test (Best Model) - Loss: 18.3317 - Accuracy: 0.4559 - F1: 0.4512
sub_18:Test (Best Model) - Loss: 15.3523 - Accuracy: 0.4783 - F1: 0.5020
sub_18:Test (Best Model) - Loss: 15.0406 - Accuracy: 0.3333 - F1: 0.3722
sub_18:Test (Best Model) - Loss: 12.2219 - Accuracy: 0.4348 - F1: 0.4598
sub_18:Test (Best Model) - Loss: 10.5351 - Accuracy: 0.4058 - F1: 0.3774
sub_18:Test (Best Model) - Loss: 17.6167 - Accuracy: 0.4058 - F1: 0.3805
sub_18:Test (Best Model) - Loss: 16.6733 - Accuracy: 0.4706 - F1: 0.4589
sub_18:Test (Best Model) - Loss: 15.4853 - Accuracy: 0.3971 - F1: 0.4265
sub_18:Test (Best Model) - Loss: 41.4651 - Accuracy: 0.4118 - F1: 0.3577
sub_18:Test (Best Model) - Loss: 23.5758 - Accuracy: 0.4559 - F1: 0.4091
sub_18:Test (Best Model) - Loss: 25.5301 - Accuracy: 0.3676 - F1: 0.3852
sub_18:Test (Best Model) - Loss: 26.5585 - Accuracy: 0.3382 - F1: 0.3705
sub_18:Test (Best Model) - Loss: 21.0705 - Accuracy: 0.2794 - F1: 0.3004
sub_18:Test (Best Model) - Loss: 14.2105 - Accuracy: 0.3529 - F1: 0.3431
sub_18:Test (Best Model) - Loss: 13.1697 - Accuracy: 0.4265 - F1: 0.4600
sub_18:Test (Best Model) - Loss: 23.6069 - Accuracy: 0.2941 - F1: 0.3042
sub_19:Test (Best Model) - Loss: 27.2297 - Accuracy: 0.2206 - F1: 0.2218
sub_19:Test (Best Model) - Loss: 42.3488 - Accuracy: 0.2500 - F1: 0.1867
sub_19:Test (Best Model) - Loss: 34.9632 - Accuracy: 0.1618 - F1: 0.1417
sub_19:Test (Best Model) - Loss: 29.2976 - Accuracy: 0.2353 - F1: 0.2393
sub_19:Test (Best Model) - Loss: 34.5695 - Accuracy: 0.2500 - F1: 0.2506
sub_19:Test (Best Model) - Loss: 28.0917 - Accuracy: 0.3529 - F1: 0.3091
sub_19:Test (Best Model) - Loss: 25.0625 - Accuracy: 0.3676 - F1: 0.3665
sub_19:Test (Best Model) - Loss: 18.4837 - Accuracy: 0.5000 - F1: 0.4576
sub_19:Test (Best Model) - Loss: 27.0577 - Accuracy: 0.4118 - F1: 0.4170
sub_19:Test (Best Model) - Loss: 22.1177 - Accuracy: 0.4412 - F1: 0.4529
sub_19:Test (Best Model) - Loss: 20.3974 - Accuracy: 0.3088 - F1: 0.3017
sub_19:Test (Best Model) - Loss: 39.5213 - Accuracy: 0.2647 - F1: 0.2493
sub_19:Test (Best Model) - Loss: 29.7164 - Accuracy: 0.3382 - F1: 0.2386
sub_19:Test (Best Model) - Loss: 47.0658 - Accuracy: 0.2647 - F1: 0.3032
sub_19:Test (Best Model) - Loss: 28.5480 - Accuracy: 0.3235 - F1: 0.3120
sub_20:Test (Best Model) - Loss: 17.3418 - Accuracy: 0.5147 - F1: 0.5105
sub_20:Test (Best Model) - Loss: 17.4238 - Accuracy: 0.5000 - F1: 0.4965
sub_20:Test (Best Model) - Loss: 11.9775 - Accuracy: 0.5294 - F1: 0.5362
sub_20:Test (Best Model) - Loss: 11.7725 - Accuracy: 0.5441 - F1: 0.5300
sub_20:Test (Best Model) - Loss: 15.7930 - Accuracy: 0.5588 - F1: 0.5536
sub_20:Test (Best Model) - Loss: 16.2414 - Accuracy: 0.3824 - F1: 0.4093
sub_20:Test (Best Model) - Loss: 13.3221 - Accuracy: 0.4853 - F1: 0.4897
sub_20:Test (Best Model) - Loss: 21.6281 - Accuracy: 0.5000 - F1: 0.5362
sub_20:Test (Best Model) - Loss: 14.4842 - Accuracy: 0.5735 - F1: 0.5779
sub_20:Test (Best Model) - Loss: 16.4603 - Accuracy: 0.5000 - F1: 0.5168
sub_20:Test (Best Model) - Loss: 20.4718 - Accuracy: 0.4783 - F1: 0.4862
sub_20:Test (Best Model) - Loss: 18.6507 - Accuracy: 0.4058 - F1: 0.4031
sub_20:Test (Best Model) - Loss: 20.0096 - Accuracy: 0.4058 - F1: 0.3948
sub_20:Test (Best Model) - Loss: 16.3751 - Accuracy: 0.5507 - F1: 0.5593
sub_20:Test (Best Model) - Loss: 18.0010 - Accuracy: 0.5362 - F1: 0.5293
sub_21:Test (Best Model) - Loss: 19.1645 - Accuracy: 0.4559 - F1: 0.4112
sub_21:Test (Best Model) - Loss: 18.2899 - Accuracy: 0.4559 - F1: 0.4021
sub_21:Test (Best Model) - Loss: 17.8309 - Accuracy: 0.5147 - F1: 0.5034
sub_21:Test (Best Model) - Loss: 19.5333 - Accuracy: 0.4118 - F1: 0.3595
sub_21:Test (Best Model) - Loss: 23.2997 - Accuracy: 0.3529 - F1: 0.3363
sub_21:Test (Best Model) - Loss: 16.5543 - Accuracy: 0.4559 - F1: 0.4399
sub_21:Test (Best Model) - Loss: 9.4109 - Accuracy: 0.5147 - F1: 0.5142
sub_21:Test (Best Model) - Loss: 12.1208 - Accuracy: 0.4412 - F1: 0.4246
sub_21:Test (Best Model) - Loss: 19.1893 - Accuracy: 0.5441 - F1: 0.5007
sub_21:Test (Best Model) - Loss: 21.6214 - Accuracy: 0.4265 - F1: 0.4192
sub_21:Test (Best Model) - Loss: 17.1239 - Accuracy: 0.5588 - F1: 0.5029
sub_21:Test (Best Model) - Loss: 23.6804 - Accuracy: 0.5000 - F1: 0.4480
sub_21:Test (Best Model) - Loss: 15.0995 - Accuracy: 0.4118 - F1: 0.3505
sub_21:Test (Best Model) - Loss: 13.2973 - Accuracy: 0.4412 - F1: 0.4249
sub_21:Test (Best Model) - Loss: 18.4380 - Accuracy: 0.3971 - F1: 0.3569
sub_22:Test (Best Model) - Loss: 23.6017 - Accuracy: 0.4412 - F1: 0.4155
sub_22:Test (Best Model) - Loss: 20.6408 - Accuracy: 0.2941 - F1: 0.2795
sub_22:Test (Best Model) - Loss: 25.4615 - Accuracy: 0.4265 - F1: 0.3982
sub_22:Test (Best Model) - Loss: 15.8630 - Accuracy: 0.3971 - F1: 0.4213
sub_22:Test (Best Model) - Loss: 19.3835 - Accuracy: 0.4706 - F1: 0.4611
sub_22:Test (Best Model) - Loss: 19.8372 - Accuracy: 0.3478 - F1: 0.3516
sub_22:Test (Best Model) - Loss: 14.7527 - Accuracy: 0.3913 - F1: 0.4164
sub_22:Test (Best Model) - Loss: 20.5668 - Accuracy: 0.3623 - F1: 0.3564
sub_22:Test (Best Model) - Loss: 26.7346 - Accuracy: 0.4058 - F1: 0.3710
sub_22:Test (Best Model) - Loss: 31.1167 - Accuracy: 0.4058 - F1: 0.3887
sub_22:Test (Best Model) - Loss: 23.1114 - Accuracy: 0.3235 - F1: 0.2757
sub_22:Test (Best Model) - Loss: 21.8676 - Accuracy: 0.3676 - F1: 0.3174
sub_22:Test (Best Model) - Loss: 18.2137 - Accuracy: 0.3382 - F1: 0.3183
sub_22:Test (Best Model) - Loss: 18.6119 - Accuracy: 0.4412 - F1: 0.4095
sub_22:Test (Best Model) - Loss: 16.9020 - Accuracy: 0.4118 - F1: 0.3956
sub_23:Test (Best Model) - Loss: 14.9078 - Accuracy: 0.4348 - F1: 0.4533
sub_23:Test (Best Model) - Loss: 10.2222 - Accuracy: 0.5217 - F1: 0.5287
sub_23:Test (Best Model) - Loss: 19.0998 - Accuracy: 0.4203 - F1: 0.4125
sub_23:Test (Best Model) - Loss: 9.4736 - Accuracy: 0.5652 - F1: 0.5693
sub_23:Test (Best Model) - Loss: 14.7682 - Accuracy: 0.5217 - F1: 0.4959
sub_23:Test (Best Model) - Loss: 13.0060 - Accuracy: 0.5441 - F1: 0.4922
sub_23:Test (Best Model) - Loss: 14.6303 - Accuracy: 0.4412 - F1: 0.3929
sub_23:Test (Best Model) - Loss: 10.6736 - Accuracy: 0.4706 - F1: 0.4726
sub_23:Test (Best Model) - Loss: 17.4375 - Accuracy: 0.5294 - F1: 0.4975
sub_23:Test (Best Model) - Loss: 14.1074 - Accuracy: 0.5294 - F1: 0.5013
sub_23:Test (Best Model) - Loss: 24.6552 - Accuracy: 0.4928 - F1: 0.4786
sub_23:Test (Best Model) - Loss: 22.7400 - Accuracy: 0.4928 - F1: 0.4912
sub_23:Test (Best Model) - Loss: 22.3476 - Accuracy: 0.5507 - F1: 0.5248
sub_23:Test (Best Model) - Loss: 38.2662 - Accuracy: 0.4348 - F1: 0.4270
sub_23:Test (Best Model) - Loss: 20.8084 - Accuracy: 0.5072 - F1: 0.5025
sub_24:Test (Best Model) - Loss: 20.4224 - Accuracy: 0.3088 - F1: 0.2746
sub_24:Test (Best Model) - Loss: 13.4279 - Accuracy: 0.4706 - F1: 0.4604
sub_24:Test (Best Model) - Loss: 21.7411 - Accuracy: 0.3971 - F1: 0.3585
sub_24:Test (Best Model) - Loss: 20.3514 - Accuracy: 0.3088 - F1: 0.3009
sub_24:Test (Best Model) - Loss: 24.0827 - Accuracy: 0.3235 - F1: 0.3208
sub_24:Test (Best Model) - Loss: 14.6535 - Accuracy: 0.4265 - F1: 0.4136
sub_24:Test (Best Model) - Loss: 24.6540 - Accuracy: 0.4118 - F1: 0.4131
sub_24:Test (Best Model) - Loss: 16.5942 - Accuracy: 0.3382 - F1: 0.2708
sub_24:Test (Best Model) - Loss: 15.4878 - Accuracy: 0.4706 - F1: 0.4501
sub_24:Test (Best Model) - Loss: 13.1220 - Accuracy: 0.4118 - F1: 0.3691
sub_24:Test (Best Model) - Loss: 17.1041 - Accuracy: 0.3824 - F1: 0.3861
sub_24:Test (Best Model) - Loss: 15.7505 - Accuracy: 0.3382 - F1: 0.3157
sub_24:Test (Best Model) - Loss: 22.5935 - Accuracy: 0.2794 - F1: 0.2276
sub_24:Test (Best Model) - Loss: 14.5778 - Accuracy: 0.4265 - F1: 0.4112
sub_24:Test (Best Model) - Loss: 22.6387 - Accuracy: 0.3382 - F1: 0.2625
sub_25:Test (Best Model) - Loss: 8.3865 - Accuracy: 0.5797 - F1: 0.5558
sub_25:Test (Best Model) - Loss: 17.7068 - Accuracy: 0.3913 - F1: 0.3725
sub_25:Test (Best Model) - Loss: 33.4343 - Accuracy: 0.4203 - F1: 0.3236
sub_25:Test (Best Model) - Loss: 9.6822 - Accuracy: 0.4928 - F1: 0.4846
sub_25:Test (Best Model) - Loss: 19.4932 - Accuracy: 0.4493 - F1: 0.3611
sub_25:Test (Best Model) - Loss: 43.3386 - Accuracy: 0.4853 - F1: 0.4088
sub_25:Test (Best Model) - Loss: 32.0886 - Accuracy: 0.4412 - F1: 0.3856
sub_25:Test (Best Model) - Loss: 28.4600 - Accuracy: 0.4412 - F1: 0.3746
sub_25:Test (Best Model) - Loss: 45.2951 - Accuracy: 0.5000 - F1: 0.4374
sub_25:Test (Best Model) - Loss: 23.7316 - Accuracy: 0.4706 - F1: 0.3981
sub_25:Test (Best Model) - Loss: 24.7136 - Accuracy: 0.3088 - F1: 0.3203
sub_25:Test (Best Model) - Loss: 13.0041 - Accuracy: 0.4559 - F1: 0.4400
sub_25:Test (Best Model) - Loss: 11.3490 - Accuracy: 0.5147 - F1: 0.5094
sub_25:Test (Best Model) - Loss: 18.7848 - Accuracy: 0.4412 - F1: 0.4275
sub_25:Test (Best Model) - Loss: 17.1431 - Accuracy: 0.4265 - F1: 0.3630
sub_26:Test (Best Model) - Loss: 10.0728 - Accuracy: 0.4928 - F1: 0.4864
sub_26:Test (Best Model) - Loss: 11.3054 - Accuracy: 0.5217 - F1: 0.5427
sub_26:Test (Best Model) - Loss: 15.3718 - Accuracy: 0.5362 - F1: 0.5266
sub_26:Test (Best Model) - Loss: 11.9742 - Accuracy: 0.4928 - F1: 0.4842
sub_26:Test (Best Model) - Loss: 12.3665 - Accuracy: 0.5942 - F1: 0.5857
sub_26:Test (Best Model) - Loss: 20.9164 - Accuracy: 0.3235 - F1: 0.3013
sub_26:Test (Best Model) - Loss: 16.7444 - Accuracy: 0.4412 - F1: 0.4035
sub_26:Test (Best Model) - Loss: 24.9417 - Accuracy: 0.3971 - F1: 0.3660
sub_26:Test (Best Model) - Loss: 30.6042 - Accuracy: 0.4412 - F1: 0.3754
sub_26:Test (Best Model) - Loss: 35.4821 - Accuracy: 0.4118 - F1: 0.4007
sub_26:Test (Best Model) - Loss: 24.4378 - Accuracy: 0.4559 - F1: 0.4480
sub_26:Test (Best Model) - Loss: 14.7666 - Accuracy: 0.5735 - F1: 0.5963
sub_26:Test (Best Model) - Loss: 27.9127 - Accuracy: 0.4853 - F1: 0.4679
sub_26:Test (Best Model) - Loss: 17.7711 - Accuracy: 0.5588 - F1: 0.5750
sub_26:Test (Best Model) - Loss: 19.8362 - Accuracy: 0.5441 - F1: 0.5620
sub_27:Test (Best Model) - Loss: 15.1244 - Accuracy: 0.4638 - F1: 0.4592
sub_27:Test (Best Model) - Loss: 24.6389 - Accuracy: 0.4783 - F1: 0.4816
sub_27:Test (Best Model) - Loss: 21.4318 - Accuracy: 0.4348 - F1: 0.3930
sub_27:Test (Best Model) - Loss: 17.1496 - Accuracy: 0.4058 - F1: 0.4146
sub_27:Test (Best Model) - Loss: 14.3850 - Accuracy: 0.4493 - F1: 0.4326
sub_27:Test (Best Model) - Loss: 20.8881 - Accuracy: 0.4783 - F1: 0.4453
sub_27:Test (Best Model) - Loss: 40.0708 - Accuracy: 0.5217 - F1: 0.4766
sub_27:Test (Best Model) - Loss: 33.4920 - Accuracy: 0.4058 - F1: 0.3548
sub_27:Test (Best Model) - Loss: 37.4399 - Accuracy: 0.4348 - F1: 0.4126
sub_27:Test (Best Model) - Loss: 34.0984 - Accuracy: 0.3478 - F1: 0.3133
sub_27:Test (Best Model) - Loss: 17.6976 - Accuracy: 0.4559 - F1: 0.4071
sub_27:Test (Best Model) - Loss: 17.4110 - Accuracy: 0.4118 - F1: 0.4086
sub_27:Test (Best Model) - Loss: 20.8931 - Accuracy: 0.4412 - F1: 0.4426
sub_27:Test (Best Model) - Loss: 20.9435 - Accuracy: 0.4412 - F1: 0.4318
sub_27:Test (Best Model) - Loss: 18.3317 - Accuracy: 0.4559 - F1: 0.4512
sub_28:Test (Best Model) - Loss: 20.0303 - Accuracy: 0.4706 - F1: 0.4504
sub_28:Test (Best Model) - Loss: 23.4035 - Accuracy: 0.3235 - F1: 0.3047
sub_28:Test (Best Model) - Loss: 25.9573 - Accuracy: 0.3235 - F1: 0.3136
sub_28:Test (Best Model) - Loss: 25.2486 - Accuracy: 0.3824 - F1: 0.3509
sub_28:Test (Best Model) - Loss: 38.5126 - Accuracy: 0.4412 - F1: 0.3861
sub_28:Test (Best Model) - Loss: 54.0804 - Accuracy: 0.1912 - F1: 0.1769
sub_28:Test (Best Model) - Loss: 46.6879 - Accuracy: 0.3382 - F1: 0.3170
sub_28:Test (Best Model) - Loss: 45.0186 - Accuracy: 0.2941 - F1: 0.2899
sub_28:Test (Best Model) - Loss: 47.1345 - Accuracy: 0.2500 - F1: 0.2118
sub_28:Test (Best Model) - Loss: 45.7643 - Accuracy: 0.3529 - F1: 0.3024
sub_28:Test (Best Model) - Loss: 19.0870 - Accuracy: 0.4853 - F1: 0.4491
sub_28:Test (Best Model) - Loss: 10.8314 - Accuracy: 0.3676 - F1: 0.3550
sub_28:Test (Best Model) - Loss: 28.4093 - Accuracy: 0.3235 - F1: 0.2922
sub_28:Test (Best Model) - Loss: 18.3584 - Accuracy: 0.3971 - F1: 0.3360
sub_28:Test (Best Model) - Loss: 12.8665 - Accuracy: 0.3971 - F1: 0.3950
sub_29:Test (Best Model) - Loss: 21.2988 - Accuracy: 0.5588 - F1: 0.5634
sub_29:Test (Best Model) - Loss: 34.4294 - Accuracy: 0.4559 - F1: 0.4484
sub_29:Test (Best Model) - Loss: 15.8091 - Accuracy: 0.5441 - F1: 0.5533
sub_29:Test (Best Model) - Loss: 28.2646 - Accuracy: 0.5588 - F1: 0.5239
sub_29:Test (Best Model) - Loss: 45.3708 - Accuracy: 0.5294 - F1: 0.4707
sub_29:Test (Best Model) - Loss: 10.0956 - Accuracy: 0.5588 - F1: 0.5798
sub_29:Test (Best Model) - Loss: 12.7868 - Accuracy: 0.5441 - F1: 0.5355
sub_29:Test (Best Model) - Loss: 9.1499 - Accuracy: 0.5735 - F1: 0.5955
sub_29:Test (Best Model) - Loss: 13.7466 - Accuracy: 0.5441 - F1: 0.5680
sub_29:Test (Best Model) - Loss: 11.7271 - Accuracy: 0.6176 - F1: 0.6329
sub_29:Test (Best Model) - Loss: 14.0999 - Accuracy: 0.5797 - F1: 0.5671
sub_29:Test (Best Model) - Loss: 12.2984 - Accuracy: 0.6522 - F1: 0.6416
sub_29:Test (Best Model) - Loss: 24.0492 - Accuracy: 0.5652 - F1: 0.5766
sub_29:Test (Best Model) - Loss: 14.6679 - Accuracy: 0.5942 - F1: 0.5987
sub_29:Test (Best Model) - Loss: 11.7874 - Accuracy: 0.5942 - F1: 0.6180

=== Summary Results ===

acc: 44.23 ± 6.47
F1: 42.85 ± 6.42
acc-in: 59.57 ± 5.73
F1-in: 56.86 ± 5.79
