lr: 0.001
sub_1:Test (Best Model) - Loss: 28.0652 - Accuracy: 0.4706 - F1: 0.4781
sub_1:Test (Best Model) - Loss: 31.3487 - Accuracy: 0.4559 - F1: 0.4731
sub_1:Test (Best Model) - Loss: 17.5355 - Accuracy: 0.5294 - F1: 0.5630
sub_1:Test (Best Model) - Loss: 25.6443 - Accuracy: 0.4412 - F1: 0.4596
sub_1:Test (Best Model) - Loss: 10.8543 - Accuracy: 0.6176 - F1: 0.6408
sub_1:Test (Best Model) - Loss: 17.8508 - Accuracy: 0.5507 - F1: 0.4991
sub_1:Test (Best Model) - Loss: 37.3902 - Accuracy: 0.4493 - F1: 0.4133
sub_1:Test (Best Model) - Loss: 20.7717 - Accuracy: 0.5797 - F1: 0.5627
sub_1:Test (Best Model) - Loss: 35.3367 - Accuracy: 0.4203 - F1: 0.3798
sub_1:Test (Best Model) - Loss: 33.1234 - Accuracy: 0.4928 - F1: 0.4411
sub_1:Test (Best Model) - Loss: 30.0392 - Accuracy: 0.6324 - F1: 0.5657
sub_1:Test (Best Model) - Loss: 34.5158 - Accuracy: 0.6029 - F1: 0.5648
sub_1:Test (Best Model) - Loss: 61.8929 - Accuracy: 0.4559 - F1: 0.3868
sub_1:Test (Best Model) - Loss: 44.8368 - Accuracy: 0.6029 - F1: 0.5372
sub_1:Test (Best Model) - Loss: 30.0489 - Accuracy: 0.6176 - F1: 0.5745
sub_2:Test (Best Model) - Loss: 32.2876 - Accuracy: 0.3478 - F1: 0.3587
sub_2:Test (Best Model) - Loss: 50.2299 - Accuracy: 0.3913 - F1: 0.3751
sub_2:Test (Best Model) - Loss: 58.2901 - Accuracy: 0.4058 - F1: 0.3921
sub_2:Test (Best Model) - Loss: 37.1080 - Accuracy: 0.4348 - F1: 0.4048
sub_2:Test (Best Model) - Loss: 54.3731 - Accuracy: 0.3333 - F1: 0.2918
sub_2:Test (Best Model) - Loss: 15.0375 - Accuracy: 0.4853 - F1: 0.4908
sub_2:Test (Best Model) - Loss: 22.7593 - Accuracy: 0.3676 - F1: 0.3469
sub_2:Test (Best Model) - Loss: 23.8297 - Accuracy: 0.3971 - F1: 0.3802
sub_2:Test (Best Model) - Loss: 20.4551 - Accuracy: 0.3971 - F1: 0.3760
sub_2:Test (Best Model) - Loss: 12.6235 - Accuracy: 0.5147 - F1: 0.5124
sub_2:Test (Best Model) - Loss: 23.6282 - Accuracy: 0.5797 - F1: 0.5422
sub_2:Test (Best Model) - Loss: 29.9753 - Accuracy: 0.4203 - F1: 0.3791
sub_2:Test (Best Model) - Loss: 23.0897 - Accuracy: 0.4203 - F1: 0.3951
sub_2:Test (Best Model) - Loss: 39.8338 - Accuracy: 0.4348 - F1: 0.4248
sub_2:Test (Best Model) - Loss: 15.5585 - Accuracy: 0.4493 - F1: 0.4286
sub_3:Test (Best Model) - Loss: 38.4249 - Accuracy: 0.3971 - F1: 0.3424
sub_3:Test (Best Model) - Loss: 24.2708 - Accuracy: 0.4265 - F1: 0.3887
sub_3:Test (Best Model) - Loss: 21.0055 - Accuracy: 0.3529 - F1: 0.3437
sub_3:Test (Best Model) - Loss: 33.9325 - Accuracy: 0.4412 - F1: 0.4424
sub_3:Test (Best Model) - Loss: 23.5816 - Accuracy: 0.4118 - F1: 0.4041
sub_3:Test (Best Model) - Loss: 26.2075 - Accuracy: 0.3768 - F1: 0.3657
sub_3:Test (Best Model) - Loss: 67.0642 - Accuracy: 0.2754 - F1: 0.1816
sub_3:Test (Best Model) - Loss: 14.4255 - Accuracy: 0.4493 - F1: 0.4193
sub_3:Test (Best Model) - Loss: 24.0055 - Accuracy: 0.4203 - F1: 0.4075
sub_3:Test (Best Model) - Loss: 20.6946 - Accuracy: 0.3478 - F1: 0.3306
sub_3:Test (Best Model) - Loss: 33.4037 - Accuracy: 0.3478 - F1: 0.3417
sub_3:Test (Best Model) - Loss: 48.4854 - Accuracy: 0.3188 - F1: 0.2770
sub_3:Test (Best Model) - Loss: 69.9961 - Accuracy: 0.3333 - F1: 0.3203
sub_3:Test (Best Model) - Loss: 37.9359 - Accuracy: 0.3333 - F1: 0.3286
sub_3:Test (Best Model) - Loss: 34.8604 - Accuracy: 0.3188 - F1: 0.2981
sub_4:Test (Best Model) - Loss: 30.0568 - Accuracy: 0.5652 - F1: 0.5687
sub_4:Test (Best Model) - Loss: 14.5755 - Accuracy: 0.5942 - F1: 0.6110
sub_4:Test (Best Model) - Loss: 39.0165 - Accuracy: 0.4058 - F1: 0.3672
sub_4:Test (Best Model) - Loss: 24.8747 - Accuracy: 0.4928 - F1: 0.4819
sub_4:Test (Best Model) - Loss: 19.9157 - Accuracy: 0.5942 - F1: 0.5784
sub_4:Test (Best Model) - Loss: 16.8000 - Accuracy: 0.6087 - F1: 0.6038
sub_4:Test (Best Model) - Loss: 26.7772 - Accuracy: 0.4783 - F1: 0.4689
sub_4:Test (Best Model) - Loss: 24.6398 - Accuracy: 0.5942 - F1: 0.5686
sub_4:Test (Best Model) - Loss: 17.9176 - Accuracy: 0.5797 - F1: 0.5749
sub_4:Test (Best Model) - Loss: 21.3881 - Accuracy: 0.5072 - F1: 0.5289
sub_4:Test (Best Model) - Loss: 24.2134 - Accuracy: 0.5942 - F1: 0.5620
sub_4:Test (Best Model) - Loss: 28.5535 - Accuracy: 0.3913 - F1: 0.3775
sub_4:Test (Best Model) - Loss: 16.6620 - Accuracy: 0.4928 - F1: 0.5018
sub_4:Test (Best Model) - Loss: 29.3077 - Accuracy: 0.4493 - F1: 0.4405
sub_4:Test (Best Model) - Loss: 28.7416 - Accuracy: 0.4348 - F1: 0.4152
sub_5:Test (Best Model) - Loss: 68.6079 - Accuracy: 0.5294 - F1: 0.4965
sub_5:Test (Best Model) - Loss: 113.9928 - Accuracy: 0.4265 - F1: 0.3939
sub_5:Test (Best Model) - Loss: 99.6434 - Accuracy: 0.4559 - F1: 0.4295
sub_5:Test (Best Model) - Loss: 51.4017 - Accuracy: 0.5441 - F1: 0.4978
sub_5:Test (Best Model) - Loss: 58.8487 - Accuracy: 0.5294 - F1: 0.4868
sub_5:Test (Best Model) - Loss: 27.6787 - Accuracy: 0.5735 - F1: 0.5205
sub_5:Test (Best Model) - Loss: 14.0253 - Accuracy: 0.6765 - F1: 0.6703
sub_5:Test (Best Model) - Loss: 18.7514 - Accuracy: 0.4412 - F1: 0.4385
sub_5:Test (Best Model) - Loss: 33.5782 - Accuracy: 0.6324 - F1: 0.6461
sub_5:Test (Best Model) - Loss: 18.3507 - Accuracy: 0.5588 - F1: 0.5540
sub_5:Test (Best Model) - Loss: 27.5191 - Accuracy: 0.5441 - F1: 0.5091
sub_5:Test (Best Model) - Loss: 22.6368 - Accuracy: 0.5147 - F1: 0.4652
sub_5:Test (Best Model) - Loss: 25.6048 - Accuracy: 0.5441 - F1: 0.5241
sub_5:Test (Best Model) - Loss: 34.9558 - Accuracy: 0.3529 - F1: 0.3309
sub_5:Test (Best Model) - Loss: 27.5999 - Accuracy: 0.3676 - F1: 0.3771
sub_6:Test (Best Model) - Loss: 27.3283 - Accuracy: 0.2941 - F1: 0.2883
sub_6:Test (Best Model) - Loss: 32.2559 - Accuracy: 0.3529 - F1: 0.2811
sub_6:Test (Best Model) - Loss: 18.3720 - Accuracy: 0.4412 - F1: 0.4485
sub_6:Test (Best Model) - Loss: 30.7386 - Accuracy: 0.5000 - F1: 0.5063
sub_6:Test (Best Model) - Loss: 25.5844 - Accuracy: 0.4265 - F1: 0.4457
sub_6:Test (Best Model) - Loss: 34.8351 - Accuracy: 0.4928 - F1: 0.4389
sub_6:Test (Best Model) - Loss: 30.5774 - Accuracy: 0.4493 - F1: 0.4361
sub_6:Test (Best Model) - Loss: 18.1773 - Accuracy: 0.5797 - F1: 0.5524
sub_6:Test (Best Model) - Loss: 29.1960 - Accuracy: 0.4203 - F1: 0.3500
sub_6:Test (Best Model) - Loss: 23.1292 - Accuracy: 0.4493 - F1: 0.4490
sub_6:Test (Best Model) - Loss: 17.1003 - Accuracy: 0.5652 - F1: 0.5753
sub_6:Test (Best Model) - Loss: 20.8569 - Accuracy: 0.5507 - F1: 0.5553
sub_6:Test (Best Model) - Loss: 16.4059 - Accuracy: 0.5362 - F1: 0.5380
sub_6:Test (Best Model) - Loss: 17.2238 - Accuracy: 0.4928 - F1: 0.5003
sub_6:Test (Best Model) - Loss: 24.5665 - Accuracy: 0.5507 - F1: 0.5424
sub_7:Test (Best Model) - Loss: 15.3636 - Accuracy: 0.6471 - F1: 0.6400
sub_7:Test (Best Model) - Loss: 11.6911 - Accuracy: 0.7059 - F1: 0.7007
sub_7:Test (Best Model) - Loss: 37.1243 - Accuracy: 0.5441 - F1: 0.4980
sub_7:Test (Best Model) - Loss: 14.2273 - Accuracy: 0.6912 - F1: 0.6678
sub_7:Test (Best Model) - Loss: 22.4389 - Accuracy: 0.6618 - F1: 0.6053
sub_7:Test (Best Model) - Loss: 43.1830 - Accuracy: 0.4412 - F1: 0.3764
sub_7:Test (Best Model) - Loss: 46.8917 - Accuracy: 0.4853 - F1: 0.4269
sub_7:Test (Best Model) - Loss: 55.1211 - Accuracy: 0.3676 - F1: 0.3644
sub_7:Test (Best Model) - Loss: 21.9975 - Accuracy: 0.4853 - F1: 0.4806
sub_7:Test (Best Model) - Loss: 60.5164 - Accuracy: 0.4706 - F1: 0.4418
sub_7:Test (Best Model) - Loss: 23.2904 - Accuracy: 0.5735 - F1: 0.5778
sub_7:Test (Best Model) - Loss: 33.1627 - Accuracy: 0.4853 - F1: 0.4331
sub_7:Test (Best Model) - Loss: 17.4297 - Accuracy: 0.5735 - F1: 0.5512
sub_7:Test (Best Model) - Loss: 22.7349 - Accuracy: 0.6471 - F1: 0.6424
sub_7:Test (Best Model) - Loss: 12.7294 - Accuracy: 0.6618 - F1: 0.6585
sub_8:Test (Best Model) - Loss: 41.3601 - Accuracy: 0.3824 - F1: 0.3823
sub_8:Test (Best Model) - Loss: 31.7238 - Accuracy: 0.2794 - F1: 0.2972
sub_8:Test (Best Model) - Loss: 36.1580 - Accuracy: 0.3676 - F1: 0.3803
sub_8:Test (Best Model) - Loss: 44.3068 - Accuracy: 0.3529 - F1: 0.3197
sub_8:Test (Best Model) - Loss: 37.8872 - Accuracy: 0.2500 - F1: 0.2630
sub_8:Test (Best Model) - Loss: 25.3893 - Accuracy: 0.4412 - F1: 0.4643
sub_8:Test (Best Model) - Loss: 19.7620 - Accuracy: 0.4706 - F1: 0.4738
sub_8:Test (Best Model) - Loss: 32.6510 - Accuracy: 0.3235 - F1: 0.2876
sub_8:Test (Best Model) - Loss: 40.6760 - Accuracy: 0.4412 - F1: 0.4377
sub_8:Test (Best Model) - Loss: 17.5412 - Accuracy: 0.4706 - F1: 0.4654
sub_8:Test (Best Model) - Loss: 36.6765 - Accuracy: 0.3235 - F1: 0.3576
sub_8:Test (Best Model) - Loss: 35.4383 - Accuracy: 0.3676 - F1: 0.4062
sub_8:Test (Best Model) - Loss: 37.6798 - Accuracy: 0.4118 - F1: 0.3989
sub_8:Test (Best Model) - Loss: 46.1771 - Accuracy: 0.4118 - F1: 0.3771
sub_8:Test (Best Model) - Loss: 36.8094 - Accuracy: 0.3824 - F1: 0.4121
sub_9:Test (Best Model) - Loss: 22.6709 - Accuracy: 0.5735 - F1: 0.5802
sub_9:Test (Best Model) - Loss: 30.5477 - Accuracy: 0.5441 - F1: 0.5588
sub_9:Test (Best Model) - Loss: 22.1244 - Accuracy: 0.6324 - F1: 0.6252
sub_9:Test (Best Model) - Loss: 42.5807 - Accuracy: 0.4706 - F1: 0.4300
sub_9:Test (Best Model) - Loss: 26.3666 - Accuracy: 0.6324 - F1: 0.6488
sub_9:Test (Best Model) - Loss: 53.1354 - Accuracy: 0.4118 - F1: 0.3444
sub_9:Test (Best Model) - Loss: 36.2474 - Accuracy: 0.4559 - F1: 0.4304
sub_9:Test (Best Model) - Loss: 37.3938 - Accuracy: 0.4118 - F1: 0.4067
sub_9:Test (Best Model) - Loss: 31.6321 - Accuracy: 0.3676 - F1: 0.4069
sub_9:Test (Best Model) - Loss: 43.1770 - Accuracy: 0.4118 - F1: 0.3995
sub_9:Test (Best Model) - Loss: 34.3791 - Accuracy: 0.4706 - F1: 0.4884
sub_9:Test (Best Model) - Loss: 44.3404 - Accuracy: 0.3971 - F1: 0.4121
sub_9:Test (Best Model) - Loss: 30.6145 - Accuracy: 0.3824 - F1: 0.4025
sub_9:Test (Best Model) - Loss: 30.9669 - Accuracy: 0.4265 - F1: 0.4564
sub_9:Test (Best Model) - Loss: 39.3192 - Accuracy: 0.4706 - F1: 0.4552
sub_10:Test (Best Model) - Loss: 28.9361 - Accuracy: 0.4559 - F1: 0.4657
sub_10:Test (Best Model) - Loss: 28.3567 - Accuracy: 0.4412 - F1: 0.4521
sub_10:Test (Best Model) - Loss: 25.4016 - Accuracy: 0.4118 - F1: 0.4172
sub_10:Test (Best Model) - Loss: 21.0771 - Accuracy: 0.3676 - F1: 0.3946
sub_10:Test (Best Model) - Loss: 28.1573 - Accuracy: 0.3529 - F1: 0.3215
sub_10:Test (Best Model) - Loss: 20.3454 - Accuracy: 0.3529 - F1: 0.3181
sub_10:Test (Best Model) - Loss: 37.1634 - Accuracy: 0.3382 - F1: 0.2908
sub_10:Test (Best Model) - Loss: 27.8950 - Accuracy: 0.5000 - F1: 0.5196
sub_10:Test (Best Model) - Loss: 30.2828 - Accuracy: 0.4265 - F1: 0.3745
sub_10:Test (Best Model) - Loss: 32.5076 - Accuracy: 0.3676 - F1: 0.3247
sub_10:Test (Best Model) - Loss: 24.9290 - Accuracy: 0.4348 - F1: 0.4263
sub_10:Test (Best Model) - Loss: 30.3186 - Accuracy: 0.4058 - F1: 0.4254
sub_10:Test (Best Model) - Loss: 31.2691 - Accuracy: 0.3043 - F1: 0.3285
sub_10:Test (Best Model) - Loss: 34.2853 - Accuracy: 0.3623 - F1: 0.3617
sub_10:Test (Best Model) - Loss: 18.2614 - Accuracy: 0.3333 - F1: 0.3008
sub_11:Test (Best Model) - Loss: 27.3648 - Accuracy: 0.4203 - F1: 0.4246
sub_11:Test (Best Model) - Loss: 38.3919 - Accuracy: 0.4638 - F1: 0.4144
sub_11:Test (Best Model) - Loss: 37.1764 - Accuracy: 0.4638 - F1: 0.4280
sub_11:Test (Best Model) - Loss: 29.7946 - Accuracy: 0.3913 - F1: 0.3541
sub_11:Test (Best Model) - Loss: 29.9913 - Accuracy: 0.3478 - F1: 0.3332
sub_11:Test (Best Model) - Loss: 22.3694 - Accuracy: 0.5072 - F1: 0.5012
sub_11:Test (Best Model) - Loss: 26.3406 - Accuracy: 0.5217 - F1: 0.4460
sub_11:Test (Best Model) - Loss: 25.8023 - Accuracy: 0.3623 - F1: 0.3089
sub_11:Test (Best Model) - Loss: 41.0553 - Accuracy: 0.4203 - F1: 0.3566
sub_11:Test (Best Model) - Loss: 30.3886 - Accuracy: 0.4638 - F1: 0.3792
sub_11:Test (Best Model) - Loss: 28.7879 - Accuracy: 0.3478 - F1: 0.3091
sub_11:Test (Best Model) - Loss: 29.4924 - Accuracy: 0.4058 - F1: 0.2974
sub_11:Test (Best Model) - Loss: 19.0649 - Accuracy: 0.4928 - F1: 0.4630
sub_11:Test (Best Model) - Loss: 25.0679 - Accuracy: 0.3768 - F1: 0.3317
sub_11:Test (Best Model) - Loss: 27.0330 - Accuracy: 0.3913 - F1: 0.3317
sub_12:Test (Best Model) - Loss: 21.7974 - Accuracy: 0.5294 - F1: 0.5097
sub_12:Test (Best Model) - Loss: 21.5469 - Accuracy: 0.6029 - F1: 0.5849
sub_12:Test (Best Model) - Loss: 24.1743 - Accuracy: 0.5441 - F1: 0.4991
sub_12:Test (Best Model) - Loss: 24.5485 - Accuracy: 0.4706 - F1: 0.4551
sub_12:Test (Best Model) - Loss: 29.7938 - Accuracy: 0.5441 - F1: 0.5182
sub_12:Test (Best Model) - Loss: 27.0600 - Accuracy: 0.5507 - F1: 0.5436
sub_12:Test (Best Model) - Loss: 21.2232 - Accuracy: 0.4203 - F1: 0.4008
sub_12:Test (Best Model) - Loss: 16.7446 - Accuracy: 0.5507 - F1: 0.5326
sub_12:Test (Best Model) - Loss: 18.3333 - Accuracy: 0.5507 - F1: 0.5715
sub_12:Test (Best Model) - Loss: 23.6092 - Accuracy: 0.5507 - F1: 0.5610
sub_12:Test (Best Model) - Loss: 34.5988 - Accuracy: 0.4118 - F1: 0.4091
sub_12:Test (Best Model) - Loss: 22.7456 - Accuracy: 0.5147 - F1: 0.5276
sub_12:Test (Best Model) - Loss: 23.5251 - Accuracy: 0.4265 - F1: 0.4361
sub_12:Test (Best Model) - Loss: 22.2027 - Accuracy: 0.4853 - F1: 0.4671
sub_12:Test (Best Model) - Loss: 19.6468 - Accuracy: 0.5294 - F1: 0.5440
sub_13:Test (Best Model) - Loss: 24.7364 - Accuracy: 0.3824 - F1: 0.4063
sub_13:Test (Best Model) - Loss: 37.8815 - Accuracy: 0.4706 - F1: 0.4625
sub_13:Test (Best Model) - Loss: 25.0017 - Accuracy: 0.4559 - F1: 0.4667
sub_13:Test (Best Model) - Loss: 38.5929 - Accuracy: 0.4265 - F1: 0.4053
sub_13:Test (Best Model) - Loss: 28.6612 - Accuracy: 0.5441 - F1: 0.5101
sub_13:Test (Best Model) - Loss: 31.3942 - Accuracy: 0.3043 - F1: 0.2984
sub_13:Test (Best Model) - Loss: 24.0142 - Accuracy: 0.4203 - F1: 0.4422
sub_13:Test (Best Model) - Loss: 39.2907 - Accuracy: 0.3478 - F1: 0.3268
sub_13:Test (Best Model) - Loss: 38.9502 - Accuracy: 0.4638 - F1: 0.4421
sub_13:Test (Best Model) - Loss: 27.6004 - Accuracy: 0.4783 - F1: 0.4865
sub_13:Test (Best Model) - Loss: 22.7477 - Accuracy: 0.4118 - F1: 0.4147
sub_13:Test (Best Model) - Loss: 34.3382 - Accuracy: 0.3824 - F1: 0.3540
sub_13:Test (Best Model) - Loss: 39.2556 - Accuracy: 0.4559 - F1: 0.4394
sub_13:Test (Best Model) - Loss: 33.5015 - Accuracy: 0.3824 - F1: 0.3743
sub_13:Test (Best Model) - Loss: 30.2713 - Accuracy: 0.3529 - F1: 0.3495
sub_14:Test (Best Model) - Loss: 26.6965 - Accuracy: 0.5294 - F1: 0.5044
sub_14:Test (Best Model) - Loss: 21.9839 - Accuracy: 0.4412 - F1: 0.4437
sub_14:Test (Best Model) - Loss: 33.2056 - Accuracy: 0.3824 - F1: 0.3256
sub_14:Test (Best Model) - Loss: 40.0301 - Accuracy: 0.4265 - F1: 0.3987
sub_14:Test (Best Model) - Loss: 36.3306 - Accuracy: 0.4706 - F1: 0.4626
sub_14:Test (Best Model) - Loss: 32.8925 - Accuracy: 0.3529 - F1: 0.3421
sub_14:Test (Best Model) - Loss: 25.9062 - Accuracy: 0.5294 - F1: 0.5459
sub_14:Test (Best Model) - Loss: 24.1804 - Accuracy: 0.4853 - F1: 0.5089
sub_14:Test (Best Model) - Loss: 27.6046 - Accuracy: 0.6029 - F1: 0.5952
sub_14:Test (Best Model) - Loss: 16.3315 - Accuracy: 0.6029 - F1: 0.6126
sub_14:Test (Best Model) - Loss: 37.7714 - Accuracy: 0.4265 - F1: 0.4253
sub_14:Test (Best Model) - Loss: 27.8733 - Accuracy: 0.5588 - F1: 0.5463
sub_14:Test (Best Model) - Loss: 39.7902 - Accuracy: 0.4118 - F1: 0.3816
sub_14:Test (Best Model) - Loss: 27.2085 - Accuracy: 0.4412 - F1: 0.4341
sub_14:Test (Best Model) - Loss: 26.2344 - Accuracy: 0.6029 - F1: 0.5786
sub_15:Test (Best Model) - Loss: 31.6451 - Accuracy: 0.4265 - F1: 0.4461
sub_15:Test (Best Model) - Loss: 41.0559 - Accuracy: 0.3971 - F1: 0.3754
sub_15:Test (Best Model) - Loss: 33.2840 - Accuracy: 0.3971 - F1: 0.3893
sub_15:Test (Best Model) - Loss: 20.6606 - Accuracy: 0.5147 - F1: 0.5191
sub_15:Test (Best Model) - Loss: 50.8536 - Accuracy: 0.4559 - F1: 0.4053
sub_15:Test (Best Model) - Loss: 22.4683 - Accuracy: 0.5735 - F1: 0.5760
sub_15:Test (Best Model) - Loss: 19.4919 - Accuracy: 0.5000 - F1: 0.4967
sub_15:Test (Best Model) - Loss: 26.6942 - Accuracy: 0.5147 - F1: 0.5005
sub_15:Test (Best Model) - Loss: 13.5102 - Accuracy: 0.5588 - F1: 0.5791
sub_15:Test (Best Model) - Loss: 16.1823 - Accuracy: 0.6029 - F1: 0.6109
sub_15:Test (Best Model) - Loss: 33.9673 - Accuracy: 0.4706 - F1: 0.4436
sub_15:Test (Best Model) - Loss: 34.7447 - Accuracy: 0.4706 - F1: 0.4364
sub_15:Test (Best Model) - Loss: 47.6853 - Accuracy: 0.4265 - F1: 0.3723
sub_15:Test (Best Model) - Loss: 25.3961 - Accuracy: 0.5588 - F1: 0.5505
sub_15:Test (Best Model) - Loss: 25.4361 - Accuracy: 0.4559 - F1: 0.4006
sub_16:Test (Best Model) - Loss: 30.2131 - Accuracy: 0.4853 - F1: 0.4407
sub_16:Test (Best Model) - Loss: 24.7331 - Accuracy: 0.5735 - F1: 0.5433
sub_16:Test (Best Model) - Loss: 24.9513 - Accuracy: 0.6029 - F1: 0.5506
sub_16:Test (Best Model) - Loss: 27.4707 - Accuracy: 0.5441 - F1: 0.5057
sub_16:Test (Best Model) - Loss: 28.9152 - Accuracy: 0.4706 - F1: 0.3754
sub_16:Test (Best Model) - Loss: 80.7402 - Accuracy: 0.3824 - F1: 0.2877
sub_16:Test (Best Model) - Loss: 28.0958 - Accuracy: 0.5735 - F1: 0.5401
sub_16:Test (Best Model) - Loss: 43.6460 - Accuracy: 0.4559 - F1: 0.4032
sub_16:Test (Best Model) - Loss: 24.7256 - Accuracy: 0.5441 - F1: 0.4925
sub_16:Test (Best Model) - Loss: 94.0035 - Accuracy: 0.3382 - F1: 0.2434
sub_16:Test (Best Model) - Loss: 16.4532 - Accuracy: 0.6765 - F1: 0.6282
sub_16:Test (Best Model) - Loss: 32.6942 - Accuracy: 0.5588 - F1: 0.5341
sub_16:Test (Best Model) - Loss: 27.7630 - Accuracy: 0.6029 - F1: 0.5103
sub_16:Test (Best Model) - Loss: 19.7895 - Accuracy: 0.4853 - F1: 0.4939
sub_16:Test (Best Model) - Loss: 21.6914 - Accuracy: 0.6618 - F1: 0.6156
sub_17:Test (Best Model) - Loss: 42.5894 - Accuracy: 0.4638 - F1: 0.4084
sub_17:Test (Best Model) - Loss: 34.1771 - Accuracy: 0.3913 - F1: 0.4188
sub_17:Test (Best Model) - Loss: 20.0902 - Accuracy: 0.5217 - F1: 0.5180
sub_17:Test (Best Model) - Loss: 31.9584 - Accuracy: 0.4638 - F1: 0.4662
sub_17:Test (Best Model) - Loss: 29.8662 - Accuracy: 0.3623 - F1: 0.3774
sub_17:Test (Best Model) - Loss: 59.0351 - Accuracy: 0.3188 - F1: 0.2863
sub_17:Test (Best Model) - Loss: 49.9643 - Accuracy: 0.3913 - F1: 0.3748
sub_17:Test (Best Model) - Loss: 75.2797 - Accuracy: 0.3623 - F1: 0.3264
sub_17:Test (Best Model) - Loss: 44.3198 - Accuracy: 0.3768 - F1: 0.3798
sub_17:Test (Best Model) - Loss: 41.5673 - Accuracy: 0.4928 - F1: 0.4447
sub_17:Test (Best Model) - Loss: 25.3348 - Accuracy: 0.5147 - F1: 0.4965
sub_17:Test (Best Model) - Loss: 16.9738 - Accuracy: 0.5294 - F1: 0.5279
sub_17:Test (Best Model) - Loss: 33.2374 - Accuracy: 0.4853 - F1: 0.4844
sub_17:Test (Best Model) - Loss: 16.3535 - Accuracy: 0.6029 - F1: 0.5884
sub_17:Test (Best Model) - Loss: 24.0031 - Accuracy: 0.4853 - F1: 0.4904
sub_18:Test (Best Model) - Loss: 21.2820 - Accuracy: 0.3913 - F1: 0.3817
sub_18:Test (Best Model) - Loss: 19.7328 - Accuracy: 0.4203 - F1: 0.4287
sub_18:Test (Best Model) - Loss: 14.0577 - Accuracy: 0.3913 - F1: 0.4244
sub_18:Test (Best Model) - Loss: 14.0255 - Accuracy: 0.5362 - F1: 0.5290
sub_18:Test (Best Model) - Loss: 22.7005 - Accuracy: 0.4928 - F1: 0.4995
sub_18:Test (Best Model) - Loss: 38.0246 - Accuracy: 0.4559 - F1: 0.3964
sub_18:Test (Best Model) - Loss: 31.3698 - Accuracy: 0.3088 - F1: 0.3278
sub_18:Test (Best Model) - Loss: 35.4394 - Accuracy: 0.3088 - F1: 0.3177
sub_18:Test (Best Model) - Loss: 62.0846 - Accuracy: 0.3529 - F1: 0.3426
sub_18:Test (Best Model) - Loss: 48.2660 - Accuracy: 0.3235 - F1: 0.3410
sub_18:Test (Best Model) - Loss: 72.0300 - Accuracy: 0.4118 - F1: 0.3942
sub_18:Test (Best Model) - Loss: 24.1967 - Accuracy: 0.3529 - F1: 0.3473
sub_18:Test (Best Model) - Loss: 44.2054 - Accuracy: 0.4118 - F1: 0.3987
sub_18:Test (Best Model) - Loss: 22.7740 - Accuracy: 0.4118 - F1: 0.4336
sub_18:Test (Best Model) - Loss: 42.9770 - Accuracy: 0.4118 - F1: 0.3763
sub_19:Test (Best Model) - Loss: 52.7050 - Accuracy: 0.2353 - F1: 0.2147
sub_19:Test (Best Model) - Loss: 56.4350 - Accuracy: 0.1912 - F1: 0.1726
sub_19:Test (Best Model) - Loss: 56.8760 - Accuracy: 0.2206 - F1: 0.2216
sub_19:Test (Best Model) - Loss: 42.0422 - Accuracy: 0.1912 - F1: 0.2012
sub_19:Test (Best Model) - Loss: 59.9910 - Accuracy: 0.1765 - F1: 0.2170
sub_19:Test (Best Model) - Loss: 35.2493 - Accuracy: 0.3529 - F1: 0.3203
sub_19:Test (Best Model) - Loss: 43.3508 - Accuracy: 0.3382 - F1: 0.3076
sub_19:Test (Best Model) - Loss: 22.0337 - Accuracy: 0.5588 - F1: 0.5355
sub_19:Test (Best Model) - Loss: 34.6788 - Accuracy: 0.3088 - F1: 0.3058
sub_19:Test (Best Model) - Loss: 24.7769 - Accuracy: 0.4118 - F1: 0.3939
sub_19:Test (Best Model) - Loss: 44.2097 - Accuracy: 0.3382 - F1: 0.2472
sub_19:Test (Best Model) - Loss: 54.6757 - Accuracy: 0.2500 - F1: 0.2319
sub_19:Test (Best Model) - Loss: 47.1612 - Accuracy: 0.3088 - F1: 0.2960
sub_19:Test (Best Model) - Loss: 52.3248 - Accuracy: 0.2059 - F1: 0.2402
sub_19:Test (Best Model) - Loss: 33.9959 - Accuracy: 0.4118 - F1: 0.3830
sub_20:Test (Best Model) - Loss: 18.6015 - Accuracy: 0.6029 - F1: 0.5957
sub_20:Test (Best Model) - Loss: 27.7861 - Accuracy: 0.5441 - F1: 0.5403
sub_20:Test (Best Model) - Loss: 21.1060 - Accuracy: 0.6176 - F1: 0.6465
sub_20:Test (Best Model) - Loss: 31.5705 - Accuracy: 0.5147 - F1: 0.5067
sub_20:Test (Best Model) - Loss: 24.7730 - Accuracy: 0.6471 - F1: 0.6528
sub_20:Test (Best Model) - Loss: 26.9692 - Accuracy: 0.5147 - F1: 0.5159
sub_20:Test (Best Model) - Loss: 29.5217 - Accuracy: 0.5588 - F1: 0.5363
sub_20:Test (Best Model) - Loss: 27.0692 - Accuracy: 0.5441 - F1: 0.5693
sub_20:Test (Best Model) - Loss: 25.6574 - Accuracy: 0.4559 - F1: 0.4482
sub_20:Test (Best Model) - Loss: 35.7072 - Accuracy: 0.4118 - F1: 0.4330
sub_20:Test (Best Model) - Loss: 30.9085 - Accuracy: 0.5942 - F1: 0.6078
sub_20:Test (Best Model) - Loss: 48.1287 - Accuracy: 0.4058 - F1: 0.3617
sub_20:Test (Best Model) - Loss: 25.0770 - Accuracy: 0.4928 - F1: 0.4756
sub_20:Test (Best Model) - Loss: 28.1118 - Accuracy: 0.5652 - F1: 0.5715
sub_20:Test (Best Model) - Loss: 22.6934 - Accuracy: 0.5362 - F1: 0.5310
sub_21:Test (Best Model) - Loss: 21.1203 - Accuracy: 0.5147 - F1: 0.4320
sub_21:Test (Best Model) - Loss: 24.8810 - Accuracy: 0.3824 - F1: 0.3743
sub_21:Test (Best Model) - Loss: 31.2271 - Accuracy: 0.4559 - F1: 0.4501
sub_21:Test (Best Model) - Loss: 28.0951 - Accuracy: 0.5441 - F1: 0.4985
sub_21:Test (Best Model) - Loss: 32.0156 - Accuracy: 0.3382 - F1: 0.3312
sub_21:Test (Best Model) - Loss: 28.3926 - Accuracy: 0.3971 - F1: 0.3562
sub_21:Test (Best Model) - Loss: 23.8359 - Accuracy: 0.5294 - F1: 0.5289
sub_21:Test (Best Model) - Loss: 31.9740 - Accuracy: 0.4265 - F1: 0.4047
sub_21:Test (Best Model) - Loss: 19.3649 - Accuracy: 0.5000 - F1: 0.5004
sub_21:Test (Best Model) - Loss: 25.6374 - Accuracy: 0.5441 - F1: 0.5316
sub_21:Test (Best Model) - Loss: 26.6159 - Accuracy: 0.4265 - F1: 0.3953
sub_21:Test (Best Model) - Loss: 35.7202 - Accuracy: 0.4412 - F1: 0.4363
sub_21:Test (Best Model) - Loss: 39.5732 - Accuracy: 0.4412 - F1: 0.3534
sub_21:Test (Best Model) - Loss: 23.0569 - Accuracy: 0.4265 - F1: 0.4303
sub_21:Test (Best Model) - Loss: 30.0279 - Accuracy: 0.5000 - F1: 0.4766
sub_22:Test (Best Model) - Loss: 29.4496 - Accuracy: 0.4706 - F1: 0.4791
sub_22:Test (Best Model) - Loss: 19.1666 - Accuracy: 0.4853 - F1: 0.4798
sub_22:Test (Best Model) - Loss: 32.5625 - Accuracy: 0.4412 - F1: 0.3932
sub_22:Test (Best Model) - Loss: 22.7806 - Accuracy: 0.3824 - F1: 0.3739
sub_22:Test (Best Model) - Loss: 20.0424 - Accuracy: 0.5147 - F1: 0.5183
sub_22:Test (Best Model) - Loss: 23.5525 - Accuracy: 0.3768 - F1: 0.3663
sub_22:Test (Best Model) - Loss: 23.9539 - Accuracy: 0.3623 - F1: 0.3801
sub_22:Test (Best Model) - Loss: 21.9865 - Accuracy: 0.3623 - F1: 0.3612
sub_22:Test (Best Model) - Loss: 20.9756 - Accuracy: 0.4783 - F1: 0.4615
sub_22:Test (Best Model) - Loss: 17.6464 - Accuracy: 0.3768 - F1: 0.4023
sub_22:Test (Best Model) - Loss: 44.2550 - Accuracy: 0.3824 - F1: 0.3548
sub_22:Test (Best Model) - Loss: 25.1182 - Accuracy: 0.3382 - F1: 0.3409
sub_22:Test (Best Model) - Loss: 26.3614 - Accuracy: 0.5147 - F1: 0.4956
sub_22:Test (Best Model) - Loss: 18.0436 - Accuracy: 0.4265 - F1: 0.4596
sub_22:Test (Best Model) - Loss: 27.0589 - Accuracy: 0.4853 - F1: 0.4750
sub_23:Test (Best Model) - Loss: 30.4827 - Accuracy: 0.4348 - F1: 0.4234
sub_23:Test (Best Model) - Loss: 18.1022 - Accuracy: 0.5072 - F1: 0.4938
sub_23:Test (Best Model) - Loss: 18.5720 - Accuracy: 0.5507 - F1: 0.5774
sub_23:Test (Best Model) - Loss: 27.6457 - Accuracy: 0.4638 - F1: 0.4661
sub_23:Test (Best Model) - Loss: 36.7119 - Accuracy: 0.4203 - F1: 0.4492
sub_23:Test (Best Model) - Loss: 13.4107 - Accuracy: 0.5588 - F1: 0.5312
sub_23:Test (Best Model) - Loss: 19.3959 - Accuracy: 0.5000 - F1: 0.4062
sub_23:Test (Best Model) - Loss: 24.6691 - Accuracy: 0.4853 - F1: 0.4328
sub_23:Test (Best Model) - Loss: 51.4076 - Accuracy: 0.4853 - F1: 0.4373
sub_23:Test (Best Model) - Loss: 23.3328 - Accuracy: 0.5000 - F1: 0.4739
sub_23:Test (Best Model) - Loss: 54.8933 - Accuracy: 0.3913 - F1: 0.3343
sub_23:Test (Best Model) - Loss: 45.2426 - Accuracy: 0.4203 - F1: 0.4193
sub_23:Test (Best Model) - Loss: 41.8304 - Accuracy: 0.5362 - F1: 0.5004
sub_23:Test (Best Model) - Loss: 29.9668 - Accuracy: 0.5362 - F1: 0.5398
sub_23:Test (Best Model) - Loss: 33.9894 - Accuracy: 0.4928 - F1: 0.4854
sub_24:Test (Best Model) - Loss: 23.0945 - Accuracy: 0.3824 - F1: 0.3747
sub_24:Test (Best Model) - Loss: 12.9423 - Accuracy: 0.4118 - F1: 0.3813
sub_24:Test (Best Model) - Loss: 30.2209 - Accuracy: 0.3088 - F1: 0.3043
sub_24:Test (Best Model) - Loss: 31.3562 - Accuracy: 0.3382 - F1: 0.3370
sub_24:Test (Best Model) - Loss: 23.4855 - Accuracy: 0.4412 - F1: 0.4359
sub_24:Test (Best Model) - Loss: 28.8855 - Accuracy: 0.3382 - F1: 0.2711
sub_24:Test (Best Model) - Loss: 18.7539 - Accuracy: 0.3529 - F1: 0.2731
sub_24:Test (Best Model) - Loss: 33.5663 - Accuracy: 0.3676 - F1: 0.3395
sub_24:Test (Best Model) - Loss: 29.8227 - Accuracy: 0.4265 - F1: 0.3929
sub_24:Test (Best Model) - Loss: 26.3618 - Accuracy: 0.4265 - F1: 0.4138
sub_24:Test (Best Model) - Loss: 20.5837 - Accuracy: 0.4118 - F1: 0.4062
sub_24:Test (Best Model) - Loss: 22.3023 - Accuracy: 0.3235 - F1: 0.3306
sub_24:Test (Best Model) - Loss: 24.1759 - Accuracy: 0.2794 - F1: 0.2776
sub_24:Test (Best Model) - Loss: 30.1927 - Accuracy: 0.3529 - F1: 0.3283
sub_24:Test (Best Model) - Loss: 27.0621 - Accuracy: 0.4412 - F1: 0.4282
sub_25:Test (Best Model) - Loss: 16.0142 - Accuracy: 0.5507 - F1: 0.5460
sub_25:Test (Best Model) - Loss: 42.3775 - Accuracy: 0.3913 - F1: 0.3410
sub_25:Test (Best Model) - Loss: 22.7917 - Accuracy: 0.5362 - F1: 0.4967
sub_25:Test (Best Model) - Loss: 24.2675 - Accuracy: 0.4783 - F1: 0.3844
sub_25:Test (Best Model) - Loss: 30.4238 - Accuracy: 0.5217 - F1: 0.4875
sub_25:Test (Best Model) - Loss: 51.0091 - Accuracy: 0.4265 - F1: 0.3497
sub_25:Test (Best Model) - Loss: 60.8104 - Accuracy: 0.5000 - F1: 0.4452
sub_25:Test (Best Model) - Loss: 40.9882 - Accuracy: 0.5588 - F1: 0.5024
sub_25:Test (Best Model) - Loss: 38.1289 - Accuracy: 0.5441 - F1: 0.5102
sub_25:Test (Best Model) - Loss: 39.5971 - Accuracy: 0.5294 - F1: 0.4759
sub_25:Test (Best Model) - Loss: 19.9174 - Accuracy: 0.5588 - F1: 0.5567
sub_25:Test (Best Model) - Loss: 18.7477 - Accuracy: 0.5294 - F1: 0.5182
sub_25:Test (Best Model) - Loss: 19.4797 - Accuracy: 0.6324 - F1: 0.6210
sub_25:Test (Best Model) - Loss: 21.3024 - Accuracy: 0.5294 - F1: 0.5313
sub_25:Test (Best Model) - Loss: 39.4802 - Accuracy: 0.5294 - F1: 0.5126
sub_26:Test (Best Model) - Loss: 16.2217 - Accuracy: 0.5942 - F1: 0.6037
sub_26:Test (Best Model) - Loss: 19.4360 - Accuracy: 0.3623 - F1: 0.3511
sub_26:Test (Best Model) - Loss: 20.2728 - Accuracy: 0.5507 - F1: 0.5571
sub_26:Test (Best Model) - Loss: 11.0891 - Accuracy: 0.4638 - F1: 0.4665
sub_26:Test (Best Model) - Loss: 13.4364 - Accuracy: 0.5652 - F1: 0.5864
sub_26:Test (Best Model) - Loss: 33.0422 - Accuracy: 0.3824 - F1: 0.3843
sub_26:Test (Best Model) - Loss: 51.7858 - Accuracy: 0.4853 - F1: 0.4321
sub_26:Test (Best Model) - Loss: 38.8773 - Accuracy: 0.3971 - F1: 0.4078
sub_26:Test (Best Model) - Loss: 24.2473 - Accuracy: 0.3382 - F1: 0.3215
sub_26:Test (Best Model) - Loss: 25.9843 - Accuracy: 0.3971 - F1: 0.3952
sub_26:Test (Best Model) - Loss: 20.7395 - Accuracy: 0.5441 - F1: 0.5252
sub_26:Test (Best Model) - Loss: 25.1648 - Accuracy: 0.5000 - F1: 0.5031
sub_26:Test (Best Model) - Loss: 26.9834 - Accuracy: 0.4559 - F1: 0.4727
sub_26:Test (Best Model) - Loss: 37.9482 - Accuracy: 0.4853 - F1: 0.5044
sub_26:Test (Best Model) - Loss: 21.3316 - Accuracy: 0.5735 - F1: 0.5987
sub_27:Test (Best Model) - Loss: 42.5894 - Accuracy: 0.4638 - F1: 0.4084
sub_27:Test (Best Model) - Loss: 34.1771 - Accuracy: 0.3913 - F1: 0.4188
sub_27:Test (Best Model) - Loss: 20.0902 - Accuracy: 0.5217 - F1: 0.5180
sub_27:Test (Best Model) - Loss: 31.9584 - Accuracy: 0.4638 - F1: 0.4662
sub_27:Test (Best Model) - Loss: 29.8662 - Accuracy: 0.3623 - F1: 0.3774
sub_27:Test (Best Model) - Loss: 59.0351 - Accuracy: 0.3188 - F1: 0.2863
sub_27:Test (Best Model) - Loss: 49.9643 - Accuracy: 0.3913 - F1: 0.3748
sub_27:Test (Best Model) - Loss: 75.2797 - Accuracy: 0.3623 - F1: 0.3264
sub_27:Test (Best Model) - Loss: 44.3198 - Accuracy: 0.3768 - F1: 0.3798
sub_27:Test (Best Model) - Loss: 41.5673 - Accuracy: 0.4928 - F1: 0.4447
sub_27:Test (Best Model) - Loss: 25.3348 - Accuracy: 0.5147 - F1: 0.4965
sub_27:Test (Best Model) - Loss: 16.9738 - Accuracy: 0.5294 - F1: 0.5279
sub_27:Test (Best Model) - Loss: 33.2374 - Accuracy: 0.4853 - F1: 0.4844
sub_27:Test (Best Model) - Loss: 16.3535 - Accuracy: 0.6029 - F1: 0.5884
sub_27:Test (Best Model) - Loss: 24.0031 - Accuracy: 0.4853 - F1: 0.4904
sub_28:Test (Best Model) - Loss: 50.8876 - Accuracy: 0.4265 - F1: 0.3856
sub_28:Test (Best Model) - Loss: 47.9050 - Accuracy: 0.3382 - F1: 0.2950
sub_28:Test (Best Model) - Loss: 44.4772 - Accuracy: 0.4412 - F1: 0.4149
sub_28:Test (Best Model) - Loss: 40.1733 - Accuracy: 0.2647 - F1: 0.2379
sub_28:Test (Best Model) - Loss: 38.4260 - Accuracy: 0.4265 - F1: 0.3921
sub_28:Test (Best Model) - Loss: 84.3176 - Accuracy: 0.2794 - F1: 0.2034
sub_28:Test (Best Model) - Loss: 64.5645 - Accuracy: 0.3971 - F1: 0.3524
sub_28:Test (Best Model) - Loss: 110.8763 - Accuracy: 0.3382 - F1: 0.3222
sub_28:Test (Best Model) - Loss: 79.2673 - Accuracy: 0.2794 - F1: 0.2285
sub_28:Test (Best Model) - Loss: 69.7190 - Accuracy: 0.2647 - F1: 0.2521
sub_28:Test (Best Model) - Loss: 21.4797 - Accuracy: 0.5000 - F1: 0.4837
sub_28:Test (Best Model) - Loss: 28.2626 - Accuracy: 0.5147 - F1: 0.4444
sub_28:Test (Best Model) - Loss: 31.1628 - Accuracy: 0.3971 - F1: 0.3647
sub_28:Test (Best Model) - Loss: 26.1916 - Accuracy: 0.4412 - F1: 0.3791
sub_28:Test (Best Model) - Loss: 46.9922 - Accuracy: 0.3971 - F1: 0.3486
sub_29:Test (Best Model) - Loss: 25.5439 - Accuracy: 0.5294 - F1: 0.5489
sub_29:Test (Best Model) - Loss: 18.9483 - Accuracy: 0.6324 - F1: 0.6377
sub_29:Test (Best Model) - Loss: 22.0821 - Accuracy: 0.5588 - F1: 0.5651
sub_29:Test (Best Model) - Loss: 32.4294 - Accuracy: 0.5735 - F1: 0.5575
sub_29:Test (Best Model) - Loss: 33.8627 - Accuracy: 0.4559 - F1: 0.4590
sub_29:Test (Best Model) - Loss: 10.9922 - Accuracy: 0.6176 - F1: 0.6198
sub_29:Test (Best Model) - Loss: 18.2398 - Accuracy: 0.5735 - F1: 0.5777
sub_29:Test (Best Model) - Loss: 20.4767 - Accuracy: 0.6471 - F1: 0.6634
sub_29:Test (Best Model) - Loss: 14.2960 - Accuracy: 0.6912 - F1: 0.6967
sub_29:Test (Best Model) - Loss: 19.1912 - Accuracy: 0.5147 - F1: 0.5241
sub_29:Test (Best Model) - Loss: 10.1961 - Accuracy: 0.5942 - F1: 0.6089
sub_29:Test (Best Model) - Loss: 20.9180 - Accuracy: 0.4348 - F1: 0.3952
sub_29:Test (Best Model) - Loss: 17.8477 - Accuracy: 0.5652 - F1: 0.5450
sub_29:Test (Best Model) - Loss: 20.4868 - Accuracy: 0.6377 - F1: 0.6198
sub_29:Test (Best Model) - Loss: 15.3607 - Accuracy: 0.6377 - F1: 0.6362

=== Summary Results ===

acc: 45.93 ± 6.51
F1: 44.30 ± 6.58
acc-in: 63.09 ± 5.80
F1-in: 60.57 ± 6.01
