lr: 0.001
sub_1:Test (Best Model) - Loss: 13.6575 - Accuracy: 0.4412 - F1: 0.4509
sub_1:Test (Best Model) - Loss: 12.9259 - Accuracy: 0.5294 - F1: 0.5229
sub_1:Test (Best Model) - Loss: 12.6898 - Accuracy: 0.4706 - F1: 0.5008
sub_1:Test (Best Model) - Loss: 13.2754 - Accuracy: 0.4706 - F1: 0.4951
sub_1:Test (Best Model) - Loss: 11.0492 - Accuracy: 0.4706 - F1: 0.4862
sub_1:Test (Best Model) - Loss: 10.4599 - Accuracy: 0.4348 - F1: 0.4284
sub_1:Test (Best Model) - Loss: 12.5684 - Accuracy: 0.4203 - F1: 0.4028
sub_1:Test (Best Model) - Loss: 12.6583 - Accuracy: 0.3478 - F1: 0.3437
sub_1:Test (Best Model) - Loss: 7.6547 - Accuracy: 0.5072 - F1: 0.5115
sub_1:Test (Best Model) - Loss: 20.0412 - Accuracy: 0.3623 - F1: 0.3423
sub_1:Test (Best Model) - Loss: 16.0314 - Accuracy: 0.4853 - F1: 0.4453
sub_1:Test (Best Model) - Loss: 10.5312 - Accuracy: 0.5294 - F1: 0.5050
sub_1:Test (Best Model) - Loss: 16.3813 - Accuracy: 0.4706 - F1: 0.3978
sub_1:Test (Best Model) - Loss: 14.8308 - Accuracy: 0.4559 - F1: 0.4577
sub_1:Test (Best Model) - Loss: 11.7880 - Accuracy: 0.6029 - F1: 0.6133
sub_2:Test (Best Model) - Loss: 18.8397 - Accuracy: 0.3478 - F1: 0.3524
sub_2:Test (Best Model) - Loss: 25.5181 - Accuracy: 0.3333 - F1: 0.3257
sub_2:Test (Best Model) - Loss: 21.2161 - Accuracy: 0.4493 - F1: 0.4222
sub_2:Test (Best Model) - Loss: 33.2567 - Accuracy: 0.3913 - F1: 0.3622
sub_2:Test (Best Model) - Loss: 26.3241 - Accuracy: 0.2899 - F1: 0.2863
sub_2:Test (Best Model) - Loss: 10.0944 - Accuracy: 0.4118 - F1: 0.3880
sub_2:Test (Best Model) - Loss: 12.8875 - Accuracy: 0.3529 - F1: 0.3248
sub_2:Test (Best Model) - Loss: 10.2902 - Accuracy: 0.4412 - F1: 0.4245
sub_2:Test (Best Model) - Loss: 11.7677 - Accuracy: 0.3824 - F1: 0.3357
sub_2:Test (Best Model) - Loss: 16.4387 - Accuracy: 0.2941 - F1: 0.2556
sub_2:Test (Best Model) - Loss: 11.1924 - Accuracy: 0.4058 - F1: 0.3817
sub_2:Test (Best Model) - Loss: 11.4689 - Accuracy: 0.4928 - F1: 0.4827
sub_2:Test (Best Model) - Loss: 5.9747 - Accuracy: 0.6087 - F1: 0.6077
sub_2:Test (Best Model) - Loss: 12.6063 - Accuracy: 0.3478 - F1: 0.3061
sub_2:Test (Best Model) - Loss: 15.7632 - Accuracy: 0.3478 - F1: 0.3230
sub_3:Test (Best Model) - Loss: 19.1615 - Accuracy: 0.4118 - F1: 0.4152
sub_3:Test (Best Model) - Loss: 10.8009 - Accuracy: 0.3824 - F1: 0.3592
sub_3:Test (Best Model) - Loss: 19.9549 - Accuracy: 0.3529 - F1: 0.3669
sub_3:Test (Best Model) - Loss: 19.9076 - Accuracy: 0.3676 - F1: 0.3417
sub_3:Test (Best Model) - Loss: 18.1976 - Accuracy: 0.3971 - F1: 0.3631
sub_3:Test (Best Model) - Loss: 13.8243 - Accuracy: 0.4203 - F1: 0.4167
sub_3:Test (Best Model) - Loss: 19.3879 - Accuracy: 0.2464 - F1: 0.2029
sub_3:Test (Best Model) - Loss: 19.6978 - Accuracy: 0.2754 - F1: 0.2649
sub_3:Test (Best Model) - Loss: 21.6135 - Accuracy: 0.2609 - F1: 0.1648
sub_3:Test (Best Model) - Loss: 17.6928 - Accuracy: 0.3333 - F1: 0.3018
sub_3:Test (Best Model) - Loss: 21.8342 - Accuracy: 0.3768 - F1: 0.3579
sub_3:Test (Best Model) - Loss: 17.3248 - Accuracy: 0.3333 - F1: 0.3224
sub_3:Test (Best Model) - Loss: 27.3666 - Accuracy: 0.3333 - F1: 0.3142
sub_3:Test (Best Model) - Loss: 24.9502 - Accuracy: 0.3043 - F1: 0.3056
sub_3:Test (Best Model) - Loss: 23.8730 - Accuracy: 0.3623 - F1: 0.2986
sub_4:Test (Best Model) - Loss: 12.4788 - Accuracy: 0.5797 - F1: 0.5616
sub_4:Test (Best Model) - Loss: 13.7967 - Accuracy: 0.4783 - F1: 0.4893
sub_4:Test (Best Model) - Loss: 9.7750 - Accuracy: 0.5652 - F1: 0.5825
sub_4:Test (Best Model) - Loss: 9.2233 - Accuracy: 0.4928 - F1: 0.5197
sub_4:Test (Best Model) - Loss: 19.0571 - Accuracy: 0.5072 - F1: 0.5122
sub_4:Test (Best Model) - Loss: 12.1478 - Accuracy: 0.5072 - F1: 0.4795
sub_4:Test (Best Model) - Loss: 11.3457 - Accuracy: 0.5072 - F1: 0.5036
sub_4:Test (Best Model) - Loss: 8.0458 - Accuracy: 0.4928 - F1: 0.5191
sub_4:Test (Best Model) - Loss: 10.4862 - Accuracy: 0.5072 - F1: 0.5163
sub_4:Test (Best Model) - Loss: 11.5924 - Accuracy: 0.4783 - F1: 0.4921
sub_4:Test (Best Model) - Loss: 23.5615 - Accuracy: 0.3333 - F1: 0.3167
sub_4:Test (Best Model) - Loss: 16.1565 - Accuracy: 0.3188 - F1: 0.2697
sub_4:Test (Best Model) - Loss: 11.0991 - Accuracy: 0.4348 - F1: 0.4038
sub_4:Test (Best Model) - Loss: 21.4559 - Accuracy: 0.4638 - F1: 0.4600
sub_4:Test (Best Model) - Loss: 13.7929 - Accuracy: 0.4638 - F1: 0.4426
sub_5:Test (Best Model) - Loss: 31.1448 - Accuracy: 0.4412 - F1: 0.3873
sub_5:Test (Best Model) - Loss: 35.3651 - Accuracy: 0.5441 - F1: 0.5161
sub_5:Test (Best Model) - Loss: 37.3805 - Accuracy: 0.3971 - F1: 0.3949
sub_5:Test (Best Model) - Loss: 25.4538 - Accuracy: 0.4853 - F1: 0.4583
sub_5:Test (Best Model) - Loss: 28.6298 - Accuracy: 0.2941 - F1: 0.3040
sub_5:Test (Best Model) - Loss: 12.8271 - Accuracy: 0.4559 - F1: 0.4723
sub_5:Test (Best Model) - Loss: 10.2650 - Accuracy: 0.6029 - F1: 0.5649
sub_5:Test (Best Model) - Loss: 16.7041 - Accuracy: 0.5882 - F1: 0.5716
sub_5:Test (Best Model) - Loss: 7.3570 - Accuracy: 0.6029 - F1: 0.6080
sub_5:Test (Best Model) - Loss: 19.9455 - Accuracy: 0.5588 - F1: 0.5068
sub_5:Test (Best Model) - Loss: 13.0664 - Accuracy: 0.5000 - F1: 0.5082
sub_5:Test (Best Model) - Loss: 10.5405 - Accuracy: 0.5147 - F1: 0.4834
sub_5:Test (Best Model) - Loss: 23.1103 - Accuracy: 0.3529 - F1: 0.3439
sub_5:Test (Best Model) - Loss: 16.1004 - Accuracy: 0.3088 - F1: 0.2995
sub_5:Test (Best Model) - Loss: 10.3329 - Accuracy: 0.4559 - F1: 0.4260
sub_6:Test (Best Model) - Loss: 9.9381 - Accuracy: 0.3529 - F1: 0.3547
sub_6:Test (Best Model) - Loss: 11.3088 - Accuracy: 0.4559 - F1: 0.4475
sub_6:Test (Best Model) - Loss: 14.7647 - Accuracy: 0.4412 - F1: 0.4173
sub_6:Test (Best Model) - Loss: 12.1916 - Accuracy: 0.2941 - F1: 0.3012
sub_6:Test (Best Model) - Loss: 10.4854 - Accuracy: 0.5147 - F1: 0.5218
sub_6:Test (Best Model) - Loss: 12.7993 - Accuracy: 0.4203 - F1: 0.4079
sub_6:Test (Best Model) - Loss: 18.2797 - Accuracy: 0.3768 - F1: 0.3556
sub_6:Test (Best Model) - Loss: 15.8734 - Accuracy: 0.4203 - F1: 0.3519
sub_6:Test (Best Model) - Loss: 18.0234 - Accuracy: 0.3913 - F1: 0.3357
sub_6:Test (Best Model) - Loss: 10.3440 - Accuracy: 0.5217 - F1: 0.5157
sub_6:Test (Best Model) - Loss: 14.5182 - Accuracy: 0.3913 - F1: 0.3591
sub_6:Test (Best Model) - Loss: 12.3277 - Accuracy: 0.4928 - F1: 0.4942
sub_6:Test (Best Model) - Loss: 15.9012 - Accuracy: 0.3913 - F1: 0.4085
sub_6:Test (Best Model) - Loss: 10.0111 - Accuracy: 0.4348 - F1: 0.4228
sub_6:Test (Best Model) - Loss: 15.2279 - Accuracy: 0.4638 - F1: 0.4473
sub_7:Test (Best Model) - Loss: 12.5188 - Accuracy: 0.5294 - F1: 0.4997
sub_7:Test (Best Model) - Loss: 12.7188 - Accuracy: 0.5294 - F1: 0.4907
sub_7:Test (Best Model) - Loss: 12.1887 - Accuracy: 0.5588 - F1: 0.5452
sub_7:Test (Best Model) - Loss: 8.6883 - Accuracy: 0.6029 - F1: 0.5907
sub_7:Test (Best Model) - Loss: 14.1642 - Accuracy: 0.5294 - F1: 0.4775
sub_7:Test (Best Model) - Loss: 33.1903 - Accuracy: 0.4118 - F1: 0.3811
sub_7:Test (Best Model) - Loss: 11.3220 - Accuracy: 0.5735 - F1: 0.5232
sub_7:Test (Best Model) - Loss: 12.8348 - Accuracy: 0.4706 - F1: 0.4644
sub_7:Test (Best Model) - Loss: 17.1980 - Accuracy: 0.4559 - F1: 0.4029
sub_7:Test (Best Model) - Loss: 12.6693 - Accuracy: 0.5147 - F1: 0.4973
sub_7:Test (Best Model) - Loss: 13.8350 - Accuracy: 0.5147 - F1: 0.5205
sub_7:Test (Best Model) - Loss: 7.8124 - Accuracy: 0.5441 - F1: 0.5399
sub_7:Test (Best Model) - Loss: 13.3572 - Accuracy: 0.4559 - F1: 0.4608
sub_7:Test (Best Model) - Loss: 11.7497 - Accuracy: 0.4853 - F1: 0.4865
sub_7:Test (Best Model) - Loss: 11.7747 - Accuracy: 0.5147 - F1: 0.4736
sub_8:Test (Best Model) - Loss: 18.2389 - Accuracy: 0.3971 - F1: 0.3664
sub_8:Test (Best Model) - Loss: 19.7140 - Accuracy: 0.3529 - F1: 0.3347
sub_8:Test (Best Model) - Loss: 15.9647 - Accuracy: 0.2941 - F1: 0.2890
sub_8:Test (Best Model) - Loss: 15.7647 - Accuracy: 0.4265 - F1: 0.4289
sub_8:Test (Best Model) - Loss: 16.4540 - Accuracy: 0.2941 - F1: 0.3127
sub_8:Test (Best Model) - Loss: 12.4402 - Accuracy: 0.3529 - F1: 0.3581
sub_8:Test (Best Model) - Loss: 13.6180 - Accuracy: 0.3824 - F1: 0.3745
sub_8:Test (Best Model) - Loss: 16.2249 - Accuracy: 0.3676 - F1: 0.3477
sub_8:Test (Best Model) - Loss: 13.6638 - Accuracy: 0.3235 - F1: 0.3281
sub_8:Test (Best Model) - Loss: 11.4089 - Accuracy: 0.3235 - F1: 0.3013
sub_8:Test (Best Model) - Loss: 21.5982 - Accuracy: 0.2941 - F1: 0.2808
sub_8:Test (Best Model) - Loss: 22.1570 - Accuracy: 0.3529 - F1: 0.3515
sub_8:Test (Best Model) - Loss: 18.8119 - Accuracy: 0.4118 - F1: 0.4177
sub_8:Test (Best Model) - Loss: 24.1889 - Accuracy: 0.5000 - F1: 0.4862
sub_8:Test (Best Model) - Loss: 18.5341 - Accuracy: 0.3676 - F1: 0.3746
sub_9:Test (Best Model) - Loss: 13.5346 - Accuracy: 0.4559 - F1: 0.4692
sub_9:Test (Best Model) - Loss: 12.0395 - Accuracy: 0.5294 - F1: 0.5333
sub_9:Test (Best Model) - Loss: 14.2334 - Accuracy: 0.4412 - F1: 0.4736
sub_9:Test (Best Model) - Loss: 19.8798 - Accuracy: 0.4706 - F1: 0.4940
sub_9:Test (Best Model) - Loss: 13.1570 - Accuracy: 0.5294 - F1: 0.5161
sub_9:Test (Best Model) - Loss: 33.9169 - Accuracy: 0.3382 - F1: 0.3515
sub_9:Test (Best Model) - Loss: 29.9374 - Accuracy: 0.3235 - F1: 0.2989
sub_9:Test (Best Model) - Loss: 16.4148 - Accuracy: 0.4706 - F1: 0.4226
sub_9:Test (Best Model) - Loss: 19.6281 - Accuracy: 0.4118 - F1: 0.3838
sub_9:Test (Best Model) - Loss: 19.0574 - Accuracy: 0.3529 - F1: 0.3853
sub_9:Test (Best Model) - Loss: 23.7382 - Accuracy: 0.4559 - F1: 0.4680
sub_9:Test (Best Model) - Loss: 16.5407 - Accuracy: 0.4706 - F1: 0.4792
sub_9:Test (Best Model) - Loss: 18.4121 - Accuracy: 0.4265 - F1: 0.4642
sub_9:Test (Best Model) - Loss: 23.3922 - Accuracy: 0.4118 - F1: 0.4164
sub_9:Test (Best Model) - Loss: 26.0841 - Accuracy: 0.5147 - F1: 0.5365
sub_10:Test (Best Model) - Loss: 17.0858 - Accuracy: 0.3676 - F1: 0.3534
sub_10:Test (Best Model) - Loss: 14.8121 - Accuracy: 0.3382 - F1: 0.3014
sub_10:Test (Best Model) - Loss: 11.8330 - Accuracy: 0.3235 - F1: 0.3324
sub_10:Test (Best Model) - Loss: 15.7220 - Accuracy: 0.3676 - F1: 0.3884
sub_10:Test (Best Model) - Loss: 12.1835 - Accuracy: 0.3382 - F1: 0.3244
sub_10:Test (Best Model) - Loss: 10.7582 - Accuracy: 0.4265 - F1: 0.4376
sub_10:Test (Best Model) - Loss: 13.6915 - Accuracy: 0.4265 - F1: 0.4271
sub_10:Test (Best Model) - Loss: 17.8545 - Accuracy: 0.3529 - F1: 0.3334
sub_10:Test (Best Model) - Loss: 10.1412 - Accuracy: 0.3971 - F1: 0.3916
sub_10:Test (Best Model) - Loss: 14.1574 - Accuracy: 0.4118 - F1: 0.4218
sub_10:Test (Best Model) - Loss: 14.6639 - Accuracy: 0.2754 - F1: 0.2932
sub_10:Test (Best Model) - Loss: 16.5932 - Accuracy: 0.2899 - F1: 0.3157
sub_10:Test (Best Model) - Loss: 14.5345 - Accuracy: 0.3188 - F1: 0.3190
sub_10:Test (Best Model) - Loss: 12.1948 - Accuracy: 0.4203 - F1: 0.3972
sub_10:Test (Best Model) - Loss: 13.9214 - Accuracy: 0.3768 - F1: 0.3885
sub_11:Test (Best Model) - Loss: 22.1463 - Accuracy: 0.4203 - F1: 0.3498
sub_11:Test (Best Model) - Loss: 18.8336 - Accuracy: 0.3043 - F1: 0.2543
sub_11:Test (Best Model) - Loss: 17.3729 - Accuracy: 0.3043 - F1: 0.2605
sub_11:Test (Best Model) - Loss: 24.4490 - Accuracy: 0.2464 - F1: 0.2438
sub_11:Test (Best Model) - Loss: 19.0013 - Accuracy: 0.3478 - F1: 0.3432
sub_11:Test (Best Model) - Loss: 15.7000 - Accuracy: 0.4058 - F1: 0.3418
sub_11:Test (Best Model) - Loss: 12.4953 - Accuracy: 0.4203 - F1: 0.3740
sub_11:Test (Best Model) - Loss: 13.7452 - Accuracy: 0.3478 - F1: 0.2978
sub_11:Test (Best Model) - Loss: 11.6292 - Accuracy: 0.4493 - F1: 0.4159
sub_11:Test (Best Model) - Loss: 16.2172 - Accuracy: 0.4348 - F1: 0.4125
sub_11:Test (Best Model) - Loss: 13.3423 - Accuracy: 0.3768 - F1: 0.3545
sub_11:Test (Best Model) - Loss: 15.5020 - Accuracy: 0.3188 - F1: 0.2761
sub_11:Test (Best Model) - Loss: 19.9800 - Accuracy: 0.3623 - F1: 0.2557
sub_11:Test (Best Model) - Loss: 19.1784 - Accuracy: 0.4203 - F1: 0.3565
sub_11:Test (Best Model) - Loss: 25.2950 - Accuracy: 0.3333 - F1: 0.2302
sub_12:Test (Best Model) - Loss: 10.8605 - Accuracy: 0.5294 - F1: 0.5192
sub_12:Test (Best Model) - Loss: 19.2505 - Accuracy: 0.4706 - F1: 0.4157
sub_12:Test (Best Model) - Loss: 13.9985 - Accuracy: 0.5294 - F1: 0.4975
sub_12:Test (Best Model) - Loss: 9.7967 - Accuracy: 0.5882 - F1: 0.5994
sub_12:Test (Best Model) - Loss: 11.6273 - Accuracy: 0.4265 - F1: 0.4362
sub_12:Test (Best Model) - Loss: 15.6510 - Accuracy: 0.4348 - F1: 0.4373
sub_12:Test (Best Model) - Loss: 11.9004 - Accuracy: 0.3768 - F1: 0.3539
sub_12:Test (Best Model) - Loss: 10.9512 - Accuracy: 0.5217 - F1: 0.4712
sub_12:Test (Best Model) - Loss: 13.0629 - Accuracy: 0.5072 - F1: 0.4991
sub_12:Test (Best Model) - Loss: 11.7321 - Accuracy: 0.4348 - F1: 0.4490
sub_12:Test (Best Model) - Loss: 13.1583 - Accuracy: 0.4706 - F1: 0.4748
sub_12:Test (Best Model) - Loss: 14.1419 - Accuracy: 0.3971 - F1: 0.3495
sub_12:Test (Best Model) - Loss: 17.3541 - Accuracy: 0.4265 - F1: 0.4383
sub_12:Test (Best Model) - Loss: 19.1307 - Accuracy: 0.4412 - F1: 0.4305
sub_12:Test (Best Model) - Loss: 14.1195 - Accuracy: 0.4412 - F1: 0.4598
sub_13:Test (Best Model) - Loss: 12.0982 - Accuracy: 0.4853 - F1: 0.5248
sub_13:Test (Best Model) - Loss: 14.3721 - Accuracy: 0.3088 - F1: 0.2940
sub_13:Test (Best Model) - Loss: 13.0628 - Accuracy: 0.5441 - F1: 0.5457
sub_13:Test (Best Model) - Loss: 25.6957 - Accuracy: 0.4706 - F1: 0.4560
sub_13:Test (Best Model) - Loss: 14.4764 - Accuracy: 0.5000 - F1: 0.4966
sub_13:Test (Best Model) - Loss: 22.5296 - Accuracy: 0.4203 - F1: 0.3984
sub_13:Test (Best Model) - Loss: 21.3046 - Accuracy: 0.3768 - F1: 0.3063
sub_13:Test (Best Model) - Loss: 20.8709 - Accuracy: 0.2754 - F1: 0.2662
sub_13:Test (Best Model) - Loss: 15.4638 - Accuracy: 0.4928 - F1: 0.4850
sub_13:Test (Best Model) - Loss: 17.7779 - Accuracy: 0.3913 - F1: 0.3731
sub_13:Test (Best Model) - Loss: 15.0778 - Accuracy: 0.3824 - F1: 0.3632
sub_13:Test (Best Model) - Loss: 14.4599 - Accuracy: 0.3824 - F1: 0.3806
sub_13:Test (Best Model) - Loss: 15.6577 - Accuracy: 0.3529 - F1: 0.3576
sub_13:Test (Best Model) - Loss: 16.9255 - Accuracy: 0.2794 - F1: 0.2919
sub_13:Test (Best Model) - Loss: 14.9859 - Accuracy: 0.3529 - F1: 0.3567
sub_14:Test (Best Model) - Loss: 17.1749 - Accuracy: 0.4118 - F1: 0.4270
sub_14:Test (Best Model) - Loss: 18.1949 - Accuracy: 0.3088 - F1: 0.3454
sub_14:Test (Best Model) - Loss: 19.9741 - Accuracy: 0.2059 - F1: 0.2331
sub_14:Test (Best Model) - Loss: 25.8010 - Accuracy: 0.3088 - F1: 0.3054
sub_14:Test (Best Model) - Loss: 18.0151 - Accuracy: 0.3676 - F1: 0.3606
sub_14:Test (Best Model) - Loss: 20.6377 - Accuracy: 0.2647 - F1: 0.2681
sub_14:Test (Best Model) - Loss: 16.6223 - Accuracy: 0.4265 - F1: 0.3955
sub_14:Test (Best Model) - Loss: 15.0775 - Accuracy: 0.4118 - F1: 0.4192
sub_14:Test (Best Model) - Loss: 20.4895 - Accuracy: 0.4265 - F1: 0.4232
sub_14:Test (Best Model) - Loss: 15.6150 - Accuracy: 0.3088 - F1: 0.3152
sub_14:Test (Best Model) - Loss: 16.8454 - Accuracy: 0.4412 - F1: 0.4360
sub_14:Test (Best Model) - Loss: 14.3175 - Accuracy: 0.3088 - F1: 0.2717
sub_14:Test (Best Model) - Loss: 12.8643 - Accuracy: 0.4853 - F1: 0.4530
sub_14:Test (Best Model) - Loss: 18.0177 - Accuracy: 0.3676 - F1: 0.3457
sub_14:Test (Best Model) - Loss: 11.0048 - Accuracy: 0.4265 - F1: 0.4412
sub_15:Test (Best Model) - Loss: 14.9057 - Accuracy: 0.4412 - F1: 0.4772
sub_15:Test (Best Model) - Loss: 24.9037 - Accuracy: 0.3971 - F1: 0.4009
sub_15:Test (Best Model) - Loss: 13.7577 - Accuracy: 0.4559 - F1: 0.4430
sub_15:Test (Best Model) - Loss: 12.3608 - Accuracy: 0.5294 - F1: 0.5431
sub_15:Test (Best Model) - Loss: 25.4794 - Accuracy: 0.3529 - F1: 0.3828
sub_15:Test (Best Model) - Loss: 12.1151 - Accuracy: 0.6029 - F1: 0.6171
sub_15:Test (Best Model) - Loss: 13.6595 - Accuracy: 0.3971 - F1: 0.3966
sub_15:Test (Best Model) - Loss: 14.7773 - Accuracy: 0.5588 - F1: 0.5557
sub_15:Test (Best Model) - Loss: 9.1415 - Accuracy: 0.6618 - F1: 0.6728
sub_15:Test (Best Model) - Loss: 21.1911 - Accuracy: 0.5294 - F1: 0.5257
sub_15:Test (Best Model) - Loss: 14.7864 - Accuracy: 0.4265 - F1: 0.4139
sub_15:Test (Best Model) - Loss: 9.7611 - Accuracy: 0.4412 - F1: 0.4401
sub_15:Test (Best Model) - Loss: 29.5388 - Accuracy: 0.3382 - F1: 0.2688
sub_15:Test (Best Model) - Loss: 16.7513 - Accuracy: 0.3824 - F1: 0.3845
sub_15:Test (Best Model) - Loss: 18.8971 - Accuracy: 0.4265 - F1: 0.4113
sub_16:Test (Best Model) - Loss: 10.2438 - Accuracy: 0.4412 - F1: 0.4241
sub_16:Test (Best Model) - Loss: 6.6688 - Accuracy: 0.5588 - F1: 0.5287
sub_16:Test (Best Model) - Loss: 15.1812 - Accuracy: 0.5441 - F1: 0.5076
sub_16:Test (Best Model) - Loss: 11.7434 - Accuracy: 0.4559 - F1: 0.4128
sub_16:Test (Best Model) - Loss: 6.2530 - Accuracy: 0.6324 - F1: 0.6024
sub_16:Test (Best Model) - Loss: 18.9506 - Accuracy: 0.5000 - F1: 0.4248
sub_16:Test (Best Model) - Loss: 11.6592 - Accuracy: 0.5000 - F1: 0.5013
sub_16:Test (Best Model) - Loss: 28.1589 - Accuracy: 0.3382 - F1: 0.2466
sub_16:Test (Best Model) - Loss: 9.6741 - Accuracy: 0.6029 - F1: 0.5655
sub_16:Test (Best Model) - Loss: 15.3351 - Accuracy: 0.4706 - F1: 0.3808
sub_16:Test (Best Model) - Loss: 10.6830 - Accuracy: 0.5588 - F1: 0.5324
sub_16:Test (Best Model) - Loss: 9.8813 - Accuracy: 0.6029 - F1: 0.5193
sub_16:Test (Best Model) - Loss: 6.6570 - Accuracy: 0.6029 - F1: 0.5943
sub_16:Test (Best Model) - Loss: 7.1981 - Accuracy: 0.6176 - F1: 0.5896
sub_16:Test (Best Model) - Loss: 6.3841 - Accuracy: 0.5294 - F1: 0.5120
sub_17:Test (Best Model) - Loss: 11.7206 - Accuracy: 0.4638 - F1: 0.4461
sub_17:Test (Best Model) - Loss: 12.9822 - Accuracy: 0.5072 - F1: 0.5002
sub_17:Test (Best Model) - Loss: 11.9033 - Accuracy: 0.4783 - F1: 0.4551
sub_17:Test (Best Model) - Loss: 11.2346 - Accuracy: 0.4638 - F1: 0.4709
sub_17:Test (Best Model) - Loss: 13.7942 - Accuracy: 0.3768 - F1: 0.3514
sub_17:Test (Best Model) - Loss: 36.7976 - Accuracy: 0.3913 - F1: 0.3217
sub_17:Test (Best Model) - Loss: 33.5171 - Accuracy: 0.3188 - F1: 0.2481
sub_17:Test (Best Model) - Loss: 18.4365 - Accuracy: 0.5652 - F1: 0.5169
sub_17:Test (Best Model) - Loss: 17.7605 - Accuracy: 0.4058 - F1: 0.3736
sub_17:Test (Best Model) - Loss: 40.7228 - Accuracy: 0.3333 - F1: 0.2699
sub_17:Test (Best Model) - Loss: 17.0771 - Accuracy: 0.4118 - F1: 0.4188
sub_17:Test (Best Model) - Loss: 19.8243 - Accuracy: 0.3676 - F1: 0.3476
sub_17:Test (Best Model) - Loss: 15.6667 - Accuracy: 0.3529 - F1: 0.3535
sub_17:Test (Best Model) - Loss: 14.1513 - Accuracy: 0.5000 - F1: 0.4799
sub_17:Test (Best Model) - Loss: 14.6321 - Accuracy: 0.3971 - F1: 0.3695
sub_18:Test (Best Model) - Loss: 13.8577 - Accuracy: 0.4348 - F1: 0.4102
sub_18:Test (Best Model) - Loss: 13.3410 - Accuracy: 0.4348 - F1: 0.4107
sub_18:Test (Best Model) - Loss: 10.3586 - Accuracy: 0.4203 - F1: 0.4413
sub_18:Test (Best Model) - Loss: 15.3415 - Accuracy: 0.3623 - F1: 0.3563
sub_18:Test (Best Model) - Loss: 8.1134 - Accuracy: 0.4638 - F1: 0.4714
sub_18:Test (Best Model) - Loss: 23.2213 - Accuracy: 0.3382 - F1: 0.3019
sub_18:Test (Best Model) - Loss: 9.4104 - Accuracy: 0.4706 - F1: 0.4894
sub_18:Test (Best Model) - Loss: 18.2508 - Accuracy: 0.3971 - F1: 0.3788
sub_18:Test (Best Model) - Loss: 16.6450 - Accuracy: 0.3824 - F1: 0.3736
sub_18:Test (Best Model) - Loss: 16.4935 - Accuracy: 0.3824 - F1: 0.3534
sub_18:Test (Best Model) - Loss: 18.0883 - Accuracy: 0.3676 - F1: 0.3280
sub_18:Test (Best Model) - Loss: 11.8896 - Accuracy: 0.3529 - F1: 0.3651
sub_18:Test (Best Model) - Loss: 14.8986 - Accuracy: 0.3529 - F1: 0.3690
sub_18:Test (Best Model) - Loss: 12.0903 - Accuracy: 0.4706 - F1: 0.4969
sub_18:Test (Best Model) - Loss: 16.2899 - Accuracy: 0.4118 - F1: 0.4170
sub_19:Test (Best Model) - Loss: 15.3744 - Accuracy: 0.3676 - F1: 0.3516
sub_19:Test (Best Model) - Loss: 30.8939 - Accuracy: 0.1471 - F1: 0.1228
sub_19:Test (Best Model) - Loss: 25.3302 - Accuracy: 0.2794 - F1: 0.2288
sub_19:Test (Best Model) - Loss: 17.3555 - Accuracy: 0.2794 - F1: 0.2666
sub_19:Test (Best Model) - Loss: 31.3444 - Accuracy: 0.1618 - F1: 0.1958
sub_19:Test (Best Model) - Loss: 19.1986 - Accuracy: 0.3235 - F1: 0.2841
sub_19:Test (Best Model) - Loss: 16.9907 - Accuracy: 0.2647 - F1: 0.2324
sub_19:Test (Best Model) - Loss: 17.6159 - Accuracy: 0.4853 - F1: 0.4774
sub_19:Test (Best Model) - Loss: 17.2812 - Accuracy: 0.3529 - F1: 0.3540
sub_19:Test (Best Model) - Loss: 16.8420 - Accuracy: 0.3088 - F1: 0.3251
sub_19:Test (Best Model) - Loss: 38.6996 - Accuracy: 0.3235 - F1: 0.2639
sub_19:Test (Best Model) - Loss: 27.0972 - Accuracy: 0.2353 - F1: 0.2002
sub_19:Test (Best Model) - Loss: 26.2793 - Accuracy: 0.3088 - F1: 0.2534
sub_19:Test (Best Model) - Loss: 27.1994 - Accuracy: 0.3382 - F1: 0.3264
sub_19:Test (Best Model) - Loss: 24.2037 - Accuracy: 0.3529 - F1: 0.3381
sub_20:Test (Best Model) - Loss: 14.3405 - Accuracy: 0.4853 - F1: 0.5263
sub_20:Test (Best Model) - Loss: 13.3958 - Accuracy: 0.4559 - F1: 0.4542
sub_20:Test (Best Model) - Loss: 12.9713 - Accuracy: 0.4853 - F1: 0.4868
sub_20:Test (Best Model) - Loss: 9.3793 - Accuracy: 0.5735 - F1: 0.5822
sub_20:Test (Best Model) - Loss: 13.4927 - Accuracy: 0.4412 - F1: 0.4639
sub_20:Test (Best Model) - Loss: 14.9216 - Accuracy: 0.4265 - F1: 0.4206
sub_20:Test (Best Model) - Loss: 13.1171 - Accuracy: 0.5000 - F1: 0.5019
sub_20:Test (Best Model) - Loss: 13.1086 - Accuracy: 0.5000 - F1: 0.5301
sub_20:Test (Best Model) - Loss: 10.4861 - Accuracy: 0.5588 - F1: 0.5574
sub_20:Test (Best Model) - Loss: 16.2492 - Accuracy: 0.3676 - F1: 0.3991
sub_20:Test (Best Model) - Loss: 15.3098 - Accuracy: 0.4638 - F1: 0.4659
sub_20:Test (Best Model) - Loss: 12.4093 - Accuracy: 0.4638 - F1: 0.4536
sub_20:Test (Best Model) - Loss: 14.6776 - Accuracy: 0.4638 - F1: 0.4804
sub_20:Test (Best Model) - Loss: 13.2698 - Accuracy: 0.4783 - F1: 0.4828
sub_20:Test (Best Model) - Loss: 16.7338 - Accuracy: 0.6087 - F1: 0.6116
sub_21:Test (Best Model) - Loss: 18.6195 - Accuracy: 0.5000 - F1: 0.4194
sub_21:Test (Best Model) - Loss: 10.3513 - Accuracy: 0.3088 - F1: 0.2729
sub_21:Test (Best Model) - Loss: 20.1006 - Accuracy: 0.4412 - F1: 0.4322
sub_21:Test (Best Model) - Loss: 17.8163 - Accuracy: 0.4265 - F1: 0.4179
sub_21:Test (Best Model) - Loss: 14.2843 - Accuracy: 0.4265 - F1: 0.4361
sub_21:Test (Best Model) - Loss: 17.3097 - Accuracy: 0.3824 - F1: 0.3196
sub_21:Test (Best Model) - Loss: 14.2659 - Accuracy: 0.3971 - F1: 0.3894
sub_21:Test (Best Model) - Loss: 15.8660 - Accuracy: 0.3971 - F1: 0.3226
sub_21:Test (Best Model) - Loss: 14.3802 - Accuracy: 0.5147 - F1: 0.4745
sub_21:Test (Best Model) - Loss: 10.5483 - Accuracy: 0.6029 - F1: 0.5838
sub_21:Test (Best Model) - Loss: 13.0970 - Accuracy: 0.3088 - F1: 0.2216
sub_21:Test (Best Model) - Loss: 12.8915 - Accuracy: 0.3235 - F1: 0.3234
sub_21:Test (Best Model) - Loss: 12.4459 - Accuracy: 0.4412 - F1: 0.3964
sub_21:Test (Best Model) - Loss: 8.6102 - Accuracy: 0.4853 - F1: 0.4611
sub_21:Test (Best Model) - Loss: 11.4253 - Accuracy: 0.4265 - F1: 0.4047
sub_22:Test (Best Model) - Loss: 17.6610 - Accuracy: 0.3824 - F1: 0.3592
sub_22:Test (Best Model) - Loss: 15.7638 - Accuracy: 0.3676 - F1: 0.3755
sub_22:Test (Best Model) - Loss: 21.4531 - Accuracy: 0.3529 - F1: 0.3654
sub_22:Test (Best Model) - Loss: 14.3407 - Accuracy: 0.3824 - F1: 0.3650
sub_22:Test (Best Model) - Loss: 15.4024 - Accuracy: 0.4118 - F1: 0.4478
sub_22:Test (Best Model) - Loss: 11.6531 - Accuracy: 0.4058 - F1: 0.4373
sub_22:Test (Best Model) - Loss: 10.3526 - Accuracy: 0.3333 - F1: 0.3068
sub_22:Test (Best Model) - Loss: 16.4244 - Accuracy: 0.4493 - F1: 0.4458
sub_22:Test (Best Model) - Loss: 11.7010 - Accuracy: 0.4203 - F1: 0.4048
sub_22:Test (Best Model) - Loss: 13.4250 - Accuracy: 0.3333 - F1: 0.3431
sub_22:Test (Best Model) - Loss: 14.0809 - Accuracy: 0.3676 - F1: 0.3644
sub_22:Test (Best Model) - Loss: 20.9715 - Accuracy: 0.2794 - F1: 0.2827
sub_22:Test (Best Model) - Loss: 9.5662 - Accuracy: 0.4118 - F1: 0.4230
sub_22:Test (Best Model) - Loss: 14.9041 - Accuracy: 0.3824 - F1: 0.3724
sub_22:Test (Best Model) - Loss: 17.3801 - Accuracy: 0.3824 - F1: 0.3604
sub_23:Test (Best Model) - Loss: 19.5894 - Accuracy: 0.3478 - F1: 0.3264
sub_23:Test (Best Model) - Loss: 8.9865 - Accuracy: 0.5072 - F1: 0.5163
sub_23:Test (Best Model) - Loss: 20.0803 - Accuracy: 0.3913 - F1: 0.3891
sub_23:Test (Best Model) - Loss: 11.8957 - Accuracy: 0.5217 - F1: 0.5476
sub_23:Test (Best Model) - Loss: 8.6283 - Accuracy: 0.5652 - F1: 0.5793
sub_23:Test (Best Model) - Loss: 12.4581 - Accuracy: 0.4265 - F1: 0.3654
sub_23:Test (Best Model) - Loss: 11.4621 - Accuracy: 0.4853 - F1: 0.4786
sub_23:Test (Best Model) - Loss: 9.3860 - Accuracy: 0.5000 - F1: 0.5089
sub_23:Test (Best Model) - Loss: 8.4928 - Accuracy: 0.5294 - F1: 0.5323
sub_23:Test (Best Model) - Loss: 8.1719 - Accuracy: 0.5147 - F1: 0.4656
sub_23:Test (Best Model) - Loss: 36.2762 - Accuracy: 0.4638 - F1: 0.4288
sub_23:Test (Best Model) - Loss: 23.8978 - Accuracy: 0.3768 - F1: 0.3612
sub_23:Test (Best Model) - Loss: 17.4408 - Accuracy: 0.5072 - F1: 0.5108
sub_23:Test (Best Model) - Loss: 25.0966 - Accuracy: 0.4638 - F1: 0.4691
sub_23:Test (Best Model) - Loss: 23.3848 - Accuracy: 0.4928 - F1: 0.4836
sub_24:Test (Best Model) - Loss: 14.8760 - Accuracy: 0.2941 - F1: 0.2810
sub_24:Test (Best Model) - Loss: 11.2026 - Accuracy: 0.3971 - F1: 0.3841
sub_24:Test (Best Model) - Loss: 15.5152 - Accuracy: 0.2941 - F1: 0.2673
sub_24:Test (Best Model) - Loss: 18.4996 - Accuracy: 0.3529 - F1: 0.3396
sub_24:Test (Best Model) - Loss: 14.7953 - Accuracy: 0.3676 - F1: 0.3054
sub_24:Test (Best Model) - Loss: 14.8188 - Accuracy: 0.3382 - F1: 0.3343
sub_24:Test (Best Model) - Loss: 12.8601 - Accuracy: 0.3235 - F1: 0.3165
sub_24:Test (Best Model) - Loss: 13.6711 - Accuracy: 0.3235 - F1: 0.2415
sub_24:Test (Best Model) - Loss: 11.7153 - Accuracy: 0.3676 - F1: 0.3133
sub_24:Test (Best Model) - Loss: 14.7200 - Accuracy: 0.3235 - F1: 0.3028
sub_24:Test (Best Model) - Loss: 10.7221 - Accuracy: 0.4265 - F1: 0.4298
sub_24:Test (Best Model) - Loss: 11.6870 - Accuracy: 0.3235 - F1: 0.3140
sub_24:Test (Best Model) - Loss: 13.0796 - Accuracy: 0.3824 - F1: 0.3520
sub_24:Test (Best Model) - Loss: 13.9579 - Accuracy: 0.4706 - F1: 0.4552
sub_24:Test (Best Model) - Loss: 15.1856 - Accuracy: 0.2941 - F1: 0.2979
sub_25:Test (Best Model) - Loss: 15.5823 - Accuracy: 0.4348 - F1: 0.4123
sub_25:Test (Best Model) - Loss: 11.5949 - Accuracy: 0.4638 - F1: 0.4170
sub_25:Test (Best Model) - Loss: 16.3151 - Accuracy: 0.4638 - F1: 0.4138
sub_25:Test (Best Model) - Loss: 11.6372 - Accuracy: 0.5072 - F1: 0.4885
sub_25:Test (Best Model) - Loss: 12.8420 - Accuracy: 0.5507 - F1: 0.4770
sub_25:Test (Best Model) - Loss: 22.2563 - Accuracy: 0.3971 - F1: 0.3615
sub_25:Test (Best Model) - Loss: 18.8697 - Accuracy: 0.4706 - F1: 0.4092
sub_25:Test (Best Model) - Loss: 22.3200 - Accuracy: 0.4118 - F1: 0.3619
sub_25:Test (Best Model) - Loss: 20.6615 - Accuracy: 0.3824 - F1: 0.3399
sub_25:Test (Best Model) - Loss: 18.2543 - Accuracy: 0.2941 - F1: 0.2638
sub_25:Test (Best Model) - Loss: 12.8513 - Accuracy: 0.4265 - F1: 0.4250
sub_25:Test (Best Model) - Loss: 12.7434 - Accuracy: 0.5147 - F1: 0.4778
sub_25:Test (Best Model) - Loss: 12.7879 - Accuracy: 0.4559 - F1: 0.4374
sub_25:Test (Best Model) - Loss: 13.8528 - Accuracy: 0.3971 - F1: 0.3800
sub_25:Test (Best Model) - Loss: 15.0430 - Accuracy: 0.4853 - F1: 0.4761
sub_26:Test (Best Model) - Loss: 11.9570 - Accuracy: 0.4783 - F1: 0.4857
sub_26:Test (Best Model) - Loss: 10.8492 - Accuracy: 0.3913 - F1: 0.4016
sub_26:Test (Best Model) - Loss: 14.2701 - Accuracy: 0.4203 - F1: 0.3874
sub_26:Test (Best Model) - Loss: 16.6824 - Accuracy: 0.4058 - F1: 0.4149
sub_26:Test (Best Model) - Loss: 10.0485 - Accuracy: 0.5217 - F1: 0.5143
sub_26:Test (Best Model) - Loss: 23.9201 - Accuracy: 0.3088 - F1: 0.3421
sub_26:Test (Best Model) - Loss: 10.2889 - Accuracy: 0.4412 - F1: 0.4004
sub_26:Test (Best Model) - Loss: 15.8324 - Accuracy: 0.3676 - F1: 0.4049
sub_26:Test (Best Model) - Loss: 19.9893 - Accuracy: 0.3971 - F1: 0.3441
sub_26:Test (Best Model) - Loss: 18.4303 - Accuracy: 0.2500 - F1: 0.3055
sub_26:Test (Best Model) - Loss: 12.9969 - Accuracy: 0.4706 - F1: 0.4716
sub_26:Test (Best Model) - Loss: 15.5003 - Accuracy: 0.5147 - F1: 0.5426
sub_26:Test (Best Model) - Loss: 17.3164 - Accuracy: 0.5000 - F1: 0.5126
sub_26:Test (Best Model) - Loss: 16.8081 - Accuracy: 0.5441 - F1: 0.5666
sub_26:Test (Best Model) - Loss: 12.9730 - Accuracy: 0.5735 - F1: 0.5926
sub_27:Test (Best Model) - Loss: 11.7206 - Accuracy: 0.4638 - F1: 0.4461
sub_27:Test (Best Model) - Loss: 12.9822 - Accuracy: 0.5072 - F1: 0.5002
sub_27:Test (Best Model) - Loss: 11.9033 - Accuracy: 0.4783 - F1: 0.4551
sub_27:Test (Best Model) - Loss: 11.2346 - Accuracy: 0.4638 - F1: 0.4709
sub_27:Test (Best Model) - Loss: 13.7942 - Accuracy: 0.3768 - F1: 0.3514
sub_27:Test (Best Model) - Loss: 36.7976 - Accuracy: 0.3913 - F1: 0.3217
sub_27:Test (Best Model) - Loss: 33.5171 - Accuracy: 0.3188 - F1: 0.2481
sub_27:Test (Best Model) - Loss: 18.4365 - Accuracy: 0.5652 - F1: 0.5169
sub_27:Test (Best Model) - Loss: 17.7605 - Accuracy: 0.4058 - F1: 0.3736
sub_27:Test (Best Model) - Loss: 40.7228 - Accuracy: 0.3333 - F1: 0.2699
sub_27:Test (Best Model) - Loss: 17.0771 - Accuracy: 0.4118 - F1: 0.4188
sub_27:Test (Best Model) - Loss: 19.8243 - Accuracy: 0.3676 - F1: 0.3476
sub_27:Test (Best Model) - Loss: 15.6667 - Accuracy: 0.3529 - F1: 0.3535
sub_27:Test (Best Model) - Loss: 14.1513 - Accuracy: 0.5000 - F1: 0.4799
sub_27:Test (Best Model) - Loss: 14.6321 - Accuracy: 0.3971 - F1: 0.3695
sub_28:Test (Best Model) - Loss: 21.6821 - Accuracy: 0.3088 - F1: 0.2850
sub_28:Test (Best Model) - Loss: 31.2138 - Accuracy: 0.3235 - F1: 0.2811
sub_28:Test (Best Model) - Loss: 20.8294 - Accuracy: 0.3088 - F1: 0.2832
sub_28:Test (Best Model) - Loss: 19.5714 - Accuracy: 0.3088 - F1: 0.2985
sub_28:Test (Best Model) - Loss: 20.7428 - Accuracy: 0.4118 - F1: 0.3964
sub_28:Test (Best Model) - Loss: 36.7796 - Accuracy: 0.1765 - F1: 0.1480
sub_28:Test (Best Model) - Loss: 37.4667 - Accuracy: 0.2941 - F1: 0.2964
sub_28:Test (Best Model) - Loss: 33.6629 - Accuracy: 0.2353 - F1: 0.2284
sub_28:Test (Best Model) - Loss: 29.5530 - Accuracy: 0.2500 - F1: 0.2001
sub_28:Test (Best Model) - Loss: 34.2266 - Accuracy: 0.2794 - F1: 0.2549
sub_28:Test (Best Model) - Loss: 13.4588 - Accuracy: 0.3676 - F1: 0.3323
sub_28:Test (Best Model) - Loss: 14.5199 - Accuracy: 0.3971 - F1: 0.3830
sub_28:Test (Best Model) - Loss: 19.1079 - Accuracy: 0.4118 - F1: 0.3926
sub_28:Test (Best Model) - Loss: 12.5266 - Accuracy: 0.3676 - F1: 0.3411
sub_28:Test (Best Model) - Loss: 14.7296 - Accuracy: 0.4706 - F1: 0.4188
sub_29:Test (Best Model) - Loss: 22.5790 - Accuracy: 0.5588 - F1: 0.5238
sub_29:Test (Best Model) - Loss: 21.7869 - Accuracy: 0.4265 - F1: 0.4273
sub_29:Test (Best Model) - Loss: 13.5204 - Accuracy: 0.6176 - F1: 0.6098
sub_29:Test (Best Model) - Loss: 26.1100 - Accuracy: 0.5441 - F1: 0.5215
sub_29:Test (Best Model) - Loss: 14.7659 - Accuracy: 0.5588 - F1: 0.5657
sub_29:Test (Best Model) - Loss: 11.8091 - Accuracy: 0.5000 - F1: 0.5002
sub_29:Test (Best Model) - Loss: 7.7041 - Accuracy: 0.5882 - F1: 0.5994
sub_29:Test (Best Model) - Loss: 7.5885 - Accuracy: 0.6029 - F1: 0.6117
sub_29:Test (Best Model) - Loss: 9.7167 - Accuracy: 0.5882 - F1: 0.5583
sub_29:Test (Best Model) - Loss: 9.5064 - Accuracy: 0.5735 - F1: 0.5745
sub_29:Test (Best Model) - Loss: 9.1147 - Accuracy: 0.5507 - F1: 0.5788
sub_29:Test (Best Model) - Loss: 11.5541 - Accuracy: 0.5652 - F1: 0.5451
sub_29:Test (Best Model) - Loss: 10.2140 - Accuracy: 0.6087 - F1: 0.6244
sub_29:Test (Best Model) - Loss: 10.9865 - Accuracy: 0.5797 - F1: 0.5625
sub_29:Test (Best Model) - Loss: 9.9591 - Accuracy: 0.5362 - F1: 0.5413

=== Summary Results ===

acc: 42.34 ± 6.14
F1: 40.91 ± 6.50
acc-in: 56.82 ± 6.07
F1-in: 54.23 ± 6.24
