lr: 1e-05
sub_1:Test (Best Model) - Loss: 1.3641 - Accuracy: 0.3676 - F1: 0.3475
sub_1:Test (Best Model) - Loss: 1.3416 - Accuracy: 0.3676 - F1: 0.3829
sub_1:Test (Best Model) - Loss: 1.3769 - Accuracy: 0.2353 - F1: 0.2377
sub_1:Test (Best Model) - Loss: 1.3687 - Accuracy: 0.2647 - F1: 0.2597
sub_1:Test (Best Model) - Loss: 1.3804 - Accuracy: 0.3382 - F1: 0.3350
sub_1:Test (Best Model) - Loss: 1.3744 - Accuracy: 0.2754 - F1: 0.2759
sub_1:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.2899 - F1: 0.2901
sub_1:Test (Best Model) - Loss: 1.3782 - Accuracy: 0.3478 - F1: 0.3431
sub_1:Test (Best Model) - Loss: 1.3728 - Accuracy: 0.3623 - F1: 0.3746
sub_1:Test (Best Model) - Loss: 1.3974 - Accuracy: 0.2754 - F1: 0.2881
sub_1:Test (Best Model) - Loss: 1.3610 - Accuracy: 0.3088 - F1: 0.3041
sub_1:Test (Best Model) - Loss: 1.3440 - Accuracy: 0.3676 - F1: 0.3591
sub_1:Test (Best Model) - Loss: 1.3322 - Accuracy: 0.3235 - F1: 0.3300
sub_1:Test (Best Model) - Loss: 1.3540 - Accuracy: 0.3676 - F1: 0.3460
sub_1:Test (Best Model) - Loss: 1.3324 - Accuracy: 0.3529 - F1: 0.3496
sub_2:Test (Best Model) - Loss: 1.4382 - Accuracy: 0.2464 - F1: 0.2610
sub_2:Test (Best Model) - Loss: 1.4079 - Accuracy: 0.2319 - F1: 0.2486
sub_2:Test (Best Model) - Loss: 1.4207 - Accuracy: 0.2609 - F1: 0.2426
sub_2:Test (Best Model) - Loss: 1.4095 - Accuracy: 0.2464 - F1: 0.2609
sub_2:Test (Best Model) - Loss: 1.4703 - Accuracy: 0.2609 - F1: 0.2881
sub_2:Test (Best Model) - Loss: 1.4237 - Accuracy: 0.2794 - F1: 0.2888
sub_2:Test (Best Model) - Loss: 1.4236 - Accuracy: 0.1912 - F1: 0.1901
sub_2:Test (Best Model) - Loss: 1.4174 - Accuracy: 0.2941 - F1: 0.3043
sub_2:Test (Best Model) - Loss: 1.4016 - Accuracy: 0.2647 - F1: 0.2620
sub_2:Test (Best Model) - Loss: 1.4272 - Accuracy: 0.2500 - F1: 0.2633
sub_2:Test (Best Model) - Loss: 1.4166 - Accuracy: 0.3478 - F1: 0.3232
sub_2:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.3188 - F1: 0.2961
sub_2:Test (Best Model) - Loss: 1.3657 - Accuracy: 0.3333 - F1: 0.3065
sub_2:Test (Best Model) - Loss: 1.3877 - Accuracy: 0.1739 - F1: 0.1382
sub_2:Test (Best Model) - Loss: 1.3937 - Accuracy: 0.2754 - F1: 0.2698
sub_3:Test (Best Model) - Loss: 1.3923 - Accuracy: 0.2647 - F1: 0.2603
sub_3:Test (Best Model) - Loss: 1.3907 - Accuracy: 0.2206 - F1: 0.2191
sub_3:Test (Best Model) - Loss: 1.4201 - Accuracy: 0.2647 - F1: 0.2627
sub_3:Test (Best Model) - Loss: 1.4093 - Accuracy: 0.2206 - F1: 0.2164
sub_3:Test (Best Model) - Loss: 1.4055 - Accuracy: 0.1912 - F1: 0.1867
sub_3:Test (Best Model) - Loss: 1.3791 - Accuracy: 0.2754 - F1: 0.2558
sub_3:Test (Best Model) - Loss: 1.4069 - Accuracy: 0.1739 - F1: 0.1676
sub_3:Test (Best Model) - Loss: 1.3950 - Accuracy: 0.2899 - F1: 0.2714
sub_3:Test (Best Model) - Loss: 1.3853 - Accuracy: 0.3188 - F1: 0.3089
sub_3:Test (Best Model) - Loss: 1.3987 - Accuracy: 0.2319 - F1: 0.2302
sub_3:Test (Best Model) - Loss: 1.4340 - Accuracy: 0.2754 - F1: 0.2582
sub_3:Test (Best Model) - Loss: 1.4031 - Accuracy: 0.2899 - F1: 0.2762
sub_3:Test (Best Model) - Loss: 1.4043 - Accuracy: 0.2319 - F1: 0.2031
sub_3:Test (Best Model) - Loss: 1.4338 - Accuracy: 0.2174 - F1: 0.2147
sub_3:Test (Best Model) - Loss: 1.4077 - Accuracy: 0.2899 - F1: 0.2688
sub_4:Test (Best Model) - Loss: 1.3576 - Accuracy: 0.3623 - F1: 0.3684
sub_4:Test (Best Model) - Loss: 1.3410 - Accuracy: 0.3043 - F1: 0.3139
sub_4:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.3043 - F1: 0.2920
sub_4:Test (Best Model) - Loss: 1.3398 - Accuracy: 0.3913 - F1: 0.3838
sub_4:Test (Best Model) - Loss: 1.3642 - Accuracy: 0.3188 - F1: 0.3085
sub_4:Test (Best Model) - Loss: 1.3072 - Accuracy: 0.3913 - F1: 0.3841
sub_4:Test (Best Model) - Loss: 1.3372 - Accuracy: 0.4348 - F1: 0.4333
sub_4:Test (Best Model) - Loss: 1.3239 - Accuracy: 0.4203 - F1: 0.4202
sub_4:Test (Best Model) - Loss: 1.3410 - Accuracy: 0.4203 - F1: 0.4084
sub_4:Test (Best Model) - Loss: 1.3278 - Accuracy: 0.4203 - F1: 0.4264
sub_4:Test (Best Model) - Loss: 1.3541 - Accuracy: 0.2464 - F1: 0.2044
sub_4:Test (Best Model) - Loss: 1.3360 - Accuracy: 0.3478 - F1: 0.3193
sub_4:Test (Best Model) - Loss: 1.3559 - Accuracy: 0.3478 - F1: 0.3421
sub_4:Test (Best Model) - Loss: 1.3359 - Accuracy: 0.3478 - F1: 0.3282
sub_4:Test (Best Model) - Loss: 1.3073 - Accuracy: 0.4203 - F1: 0.4095
sub_5:Test (Best Model) - Loss: 1.4421 - Accuracy: 0.3235 - F1: 0.3151
sub_5:Test (Best Model) - Loss: 1.4447 - Accuracy: 0.3235 - F1: 0.3054
sub_5:Test (Best Model) - Loss: 1.5682 - Accuracy: 0.3676 - F1: 0.3702
sub_5:Test (Best Model) - Loss: 1.4298 - Accuracy: 0.4118 - F1: 0.4184
sub_5:Test (Best Model) - Loss: 1.4499 - Accuracy: 0.2794 - F1: 0.2822
sub_5:Test (Best Model) - Loss: 1.3767 - Accuracy: 0.3676 - F1: 0.3486
sub_5:Test (Best Model) - Loss: 1.3680 - Accuracy: 0.4559 - F1: 0.4542
sub_5:Test (Best Model) - Loss: 1.3661 - Accuracy: 0.4412 - F1: 0.4199
sub_5:Test (Best Model) - Loss: 1.3403 - Accuracy: 0.4265 - F1: 0.4027
sub_5:Test (Best Model) - Loss: 1.3682 - Accuracy: 0.4118 - F1: 0.4088
sub_5:Test (Best Model) - Loss: 1.3641 - Accuracy: 0.3382 - F1: 0.3381
sub_5:Test (Best Model) - Loss: 1.3371 - Accuracy: 0.3824 - F1: 0.3582
sub_5:Test (Best Model) - Loss: 1.3610 - Accuracy: 0.3971 - F1: 0.3755
sub_5:Test (Best Model) - Loss: 1.3326 - Accuracy: 0.3824 - F1: 0.3494
sub_5:Test (Best Model) - Loss: 1.3152 - Accuracy: 0.4118 - F1: 0.3781
sub_6:Test (Best Model) - Loss: 1.3692 - Accuracy: 0.3382 - F1: 0.3285
sub_6:Test (Best Model) - Loss: 1.3572 - Accuracy: 0.3088 - F1: 0.3090
sub_6:Test (Best Model) - Loss: 1.3535 - Accuracy: 0.3971 - F1: 0.3774
sub_6:Test (Best Model) - Loss: 1.3411 - Accuracy: 0.3824 - F1: 0.3788
sub_6:Test (Best Model) - Loss: 1.3530 - Accuracy: 0.4118 - F1: 0.4194
sub_6:Test (Best Model) - Loss: 1.4168 - Accuracy: 0.2319 - F1: 0.2059
sub_6:Test (Best Model) - Loss: 1.3754 - Accuracy: 0.2899 - F1: 0.2136
sub_6:Test (Best Model) - Loss: 1.3771 - Accuracy: 0.3333 - F1: 0.3108
sub_6:Test (Best Model) - Loss: 1.3965 - Accuracy: 0.2464 - F1: 0.2328
sub_6:Test (Best Model) - Loss: 1.3661 - Accuracy: 0.3043 - F1: 0.2750
sub_6:Test (Best Model) - Loss: 1.4136 - Accuracy: 0.3043 - F1: 0.3125
sub_6:Test (Best Model) - Loss: 1.3998 - Accuracy: 0.2609 - F1: 0.2602
sub_6:Test (Best Model) - Loss: 1.4106 - Accuracy: 0.2609 - F1: 0.2419
sub_6:Test (Best Model) - Loss: 1.3831 - Accuracy: 0.2754 - F1: 0.2780
sub_6:Test (Best Model) - Loss: 1.3770 - Accuracy: 0.3333 - F1: 0.3219
sub_7:Test (Best Model) - Loss: 1.3312 - Accuracy: 0.4118 - F1: 0.3902
sub_7:Test (Best Model) - Loss: 1.3038 - Accuracy: 0.4118 - F1: 0.3951
sub_7:Test (Best Model) - Loss: 1.3469 - Accuracy: 0.3088 - F1: 0.3031
sub_7:Test (Best Model) - Loss: 1.2968 - Accuracy: 0.4412 - F1: 0.4309
sub_7:Test (Best Model) - Loss: 1.3417 - Accuracy: 0.3824 - F1: 0.3418
sub_7:Test (Best Model) - Loss: 1.3595 - Accuracy: 0.2794 - F1: 0.2548
sub_7:Test (Best Model) - Loss: 1.3148 - Accuracy: 0.4265 - F1: 0.4232
sub_7:Test (Best Model) - Loss: 1.3534 - Accuracy: 0.3529 - F1: 0.3644
sub_7:Test (Best Model) - Loss: 1.3455 - Accuracy: 0.3676 - F1: 0.3727
sub_7:Test (Best Model) - Loss: 1.2978 - Accuracy: 0.3676 - F1: 0.3652
sub_7:Test (Best Model) - Loss: 1.3654 - Accuracy: 0.3676 - F1: 0.3346
sub_7:Test (Best Model) - Loss: 1.3599 - Accuracy: 0.3382 - F1: 0.3171
sub_7:Test (Best Model) - Loss: 1.3964 - Accuracy: 0.3088 - F1: 0.2957
sub_7:Test (Best Model) - Loss: 1.3731 - Accuracy: 0.3235 - F1: 0.3119
sub_7:Test (Best Model) - Loss: 1.3737 - Accuracy: 0.3235 - F1: 0.3097
sub_8:Test (Best Model) - Loss: 1.4197 - Accuracy: 0.2647 - F1: 0.2632
sub_8:Test (Best Model) - Loss: 1.4162 - Accuracy: 0.2353 - F1: 0.2305
sub_8:Test (Best Model) - Loss: 1.4191 - Accuracy: 0.1765 - F1: 0.1774
sub_8:Test (Best Model) - Loss: 1.4040 - Accuracy: 0.3088 - F1: 0.3148
sub_8:Test (Best Model) - Loss: 1.4202 - Accuracy: 0.2941 - F1: 0.3097
sub_8:Test (Best Model) - Loss: 1.3790 - Accuracy: 0.2941 - F1: 0.2909
sub_8:Test (Best Model) - Loss: 1.3991 - Accuracy: 0.2794 - F1: 0.2852
sub_8:Test (Best Model) - Loss: 1.3761 - Accuracy: 0.3088 - F1: 0.2901
sub_8:Test (Best Model) - Loss: 1.4031 - Accuracy: 0.2500 - F1: 0.2453
sub_8:Test (Best Model) - Loss: 1.3971 - Accuracy: 0.2500 - F1: 0.2440
sub_8:Test (Best Model) - Loss: 1.4388 - Accuracy: 0.2794 - F1: 0.2583
sub_8:Test (Best Model) - Loss: 1.4061 - Accuracy: 0.3088 - F1: 0.2992
sub_8:Test (Best Model) - Loss: 1.4267 - Accuracy: 0.2353 - F1: 0.2121
sub_8:Test (Best Model) - Loss: 1.4239 - Accuracy: 0.3382 - F1: 0.3304
sub_8:Test (Best Model) - Loss: 1.4170 - Accuracy: 0.2353 - F1: 0.2137
sub_9:Test (Best Model) - Loss: 1.3367 - Accuracy: 0.3382 - F1: 0.3563
sub_9:Test (Best Model) - Loss: 1.3608 - Accuracy: 0.3676 - F1: 0.3837
sub_9:Test (Best Model) - Loss: 1.3514 - Accuracy: 0.3235 - F1: 0.3540
sub_9:Test (Best Model) - Loss: 1.3710 - Accuracy: 0.3676 - F1: 0.3893
sub_9:Test (Best Model) - Loss: 1.3389 - Accuracy: 0.3529 - F1: 0.3675
sub_9:Test (Best Model) - Loss: 1.4374 - Accuracy: 0.2647 - F1: 0.2803
sub_9:Test (Best Model) - Loss: 1.4115 - Accuracy: 0.3088 - F1: 0.3322
sub_9:Test (Best Model) - Loss: 1.3742 - Accuracy: 0.3382 - F1: 0.3614
sub_9:Test (Best Model) - Loss: 1.3486 - Accuracy: 0.4118 - F1: 0.4245
sub_9:Test (Best Model) - Loss: 1.4090 - Accuracy: 0.2647 - F1: 0.2832
sub_9:Test (Best Model) - Loss: 1.4891 - Accuracy: 0.2794 - F1: 0.2689
sub_9:Test (Best Model) - Loss: 1.4187 - Accuracy: 0.3088 - F1: 0.3030
sub_9:Test (Best Model) - Loss: 1.3926 - Accuracy: 0.2500 - F1: 0.2519
sub_9:Test (Best Model) - Loss: 1.4402 - Accuracy: 0.2647 - F1: 0.2646
sub_9:Test (Best Model) - Loss: 1.4105 - Accuracy: 0.3382 - F1: 0.3140
sub_10:Test (Best Model) - Loss: 1.4058 - Accuracy: 0.2059 - F1: 0.2012
sub_10:Test (Best Model) - Loss: 1.3965 - Accuracy: 0.2647 - F1: 0.2526
sub_10:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.2647 - F1: 0.2639
sub_10:Test (Best Model) - Loss: 1.3955 - Accuracy: 0.2500 - F1: 0.2426
sub_10:Test (Best Model) - Loss: 1.4061 - Accuracy: 0.2941 - F1: 0.2703
sub_10:Test (Best Model) - Loss: 1.4093 - Accuracy: 0.2794 - F1: 0.2526
sub_10:Test (Best Model) - Loss: 1.4035 - Accuracy: 0.1912 - F1: 0.1724
sub_10:Test (Best Model) - Loss: 1.3963 - Accuracy: 0.2500 - F1: 0.2343
sub_10:Test (Best Model) - Loss: 1.4042 - Accuracy: 0.2059 - F1: 0.1695
sub_10:Test (Best Model) - Loss: 1.4115 - Accuracy: 0.2206 - F1: 0.2036
sub_10:Test (Best Model) - Loss: 1.4451 - Accuracy: 0.2174 - F1: 0.2014
sub_10:Test (Best Model) - Loss: 1.4271 - Accuracy: 0.2754 - F1: 0.2731
sub_10:Test (Best Model) - Loss: 1.4317 - Accuracy: 0.2319 - F1: 0.2277
sub_10:Test (Best Model) - Loss: 1.4156 - Accuracy: 0.2319 - F1: 0.2031
sub_10:Test (Best Model) - Loss: 1.4251 - Accuracy: 0.2029 - F1: 0.1996
sub_11:Test (Best Model) - Loss: 1.3637 - Accuracy: 0.3333 - F1: 0.3063
sub_11:Test (Best Model) - Loss: 1.3666 - Accuracy: 0.2899 - F1: 0.2879
sub_11:Test (Best Model) - Loss: 1.3884 - Accuracy: 0.2319 - F1: 0.2266
sub_11:Test (Best Model) - Loss: 1.3828 - Accuracy: 0.3768 - F1: 0.3657
sub_11:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.3478 - F1: 0.3408
sub_11:Test (Best Model) - Loss: 1.3698 - Accuracy: 0.3478 - F1: 0.3277
sub_11:Test (Best Model) - Loss: 1.3679 - Accuracy: 0.3333 - F1: 0.3138
sub_11:Test (Best Model) - Loss: 1.3574 - Accuracy: 0.4058 - F1: 0.4031
sub_11:Test (Best Model) - Loss: 1.3706 - Accuracy: 0.3768 - F1: 0.3702
sub_11:Test (Best Model) - Loss: 1.3685 - Accuracy: 0.3623 - F1: 0.3408
sub_11:Test (Best Model) - Loss: 1.3925 - Accuracy: 0.2754 - F1: 0.2387
sub_11:Test (Best Model) - Loss: 1.3895 - Accuracy: 0.3043 - F1: 0.2737
sub_11:Test (Best Model) - Loss: 1.3602 - Accuracy: 0.3188 - F1: 0.2967
sub_11:Test (Best Model) - Loss: 1.4071 - Accuracy: 0.3043 - F1: 0.2968
sub_11:Test (Best Model) - Loss: 1.3674 - Accuracy: 0.3043 - F1: 0.2927
sub_12:Test (Best Model) - Loss: 1.3253 - Accuracy: 0.3235 - F1: 0.2732
sub_12:Test (Best Model) - Loss: 1.3636 - Accuracy: 0.2941 - F1: 0.2871
sub_12:Test (Best Model) - Loss: 1.3541 - Accuracy: 0.3235 - F1: 0.2911
sub_12:Test (Best Model) - Loss: 1.3556 - Accuracy: 0.3529 - F1: 0.3459
sub_12:Test (Best Model) - Loss: 1.3426 - Accuracy: 0.3088 - F1: 0.2959
sub_12:Test (Best Model) - Loss: 1.3865 - Accuracy: 0.2754 - F1: 0.2800
sub_12:Test (Best Model) - Loss: 1.3668 - Accuracy: 0.2609 - F1: 0.2411
sub_12:Test (Best Model) - Loss: 1.3529 - Accuracy: 0.3333 - F1: 0.2859
sub_12:Test (Best Model) - Loss: 1.3754 - Accuracy: 0.3333 - F1: 0.3084
sub_12:Test (Best Model) - Loss: 1.3704 - Accuracy: 0.2319 - F1: 0.2429
sub_12:Test (Best Model) - Loss: 1.3794 - Accuracy: 0.3088 - F1: 0.3092
sub_12:Test (Best Model) - Loss: 1.3819 - Accuracy: 0.3088 - F1: 0.2839
sub_12:Test (Best Model) - Loss: 1.3633 - Accuracy: 0.2941 - F1: 0.2974
sub_12:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.3382 - F1: 0.3447
sub_12:Test (Best Model) - Loss: 1.3507 - Accuracy: 0.4118 - F1: 0.3962
sub_13:Test (Best Model) - Loss: 1.4329 - Accuracy: 0.2941 - F1: 0.2980
sub_13:Test (Best Model) - Loss: 1.3649 - Accuracy: 0.2941 - F1: 0.2888
sub_13:Test (Best Model) - Loss: 1.3826 - Accuracy: 0.2794 - F1: 0.2872
sub_13:Test (Best Model) - Loss: 1.4021 - Accuracy: 0.3088 - F1: 0.3057
sub_13:Test (Best Model) - Loss: 1.4136 - Accuracy: 0.2794 - F1: 0.2912
sub_13:Test (Best Model) - Loss: 1.3963 - Accuracy: 0.2754 - F1: 0.2314
sub_13:Test (Best Model) - Loss: 1.3932 - Accuracy: 0.2464 - F1: 0.2215
sub_13:Test (Best Model) - Loss: 1.4024 - Accuracy: 0.2319 - F1: 0.2077
sub_13:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2464 - F1: 0.2403
sub_13:Test (Best Model) - Loss: 1.3880 - Accuracy: 0.2609 - F1: 0.2331
sub_13:Test (Best Model) - Loss: 1.3981 - Accuracy: 0.2353 - F1: 0.1918
sub_13:Test (Best Model) - Loss: 1.3980 - Accuracy: 0.3235 - F1: 0.3325
sub_13:Test (Best Model) - Loss: 1.4202 - Accuracy: 0.3529 - F1: 0.3671
sub_13:Test (Best Model) - Loss: 1.3976 - Accuracy: 0.2500 - F1: 0.2535
sub_13:Test (Best Model) - Loss: 1.4011 - Accuracy: 0.3088 - F1: 0.3119
sub_14:Test (Best Model) - Loss: 1.4080 - Accuracy: 0.2059 - F1: 0.2192
sub_14:Test (Best Model) - Loss: 1.3894 - Accuracy: 0.2794 - F1: 0.2937
sub_14:Test (Best Model) - Loss: 1.4087 - Accuracy: 0.2941 - F1: 0.3065
sub_14:Test (Best Model) - Loss: 1.4119 - Accuracy: 0.1618 - F1: 0.1757
sub_14:Test (Best Model) - Loss: 1.3907 - Accuracy: 0.2059 - F1: 0.1912
sub_14:Test (Best Model) - Loss: 1.4342 - Accuracy: 0.2794 - F1: 0.2621
sub_14:Test (Best Model) - Loss: 1.4414 - Accuracy: 0.2500 - F1: 0.2466
sub_14:Test (Best Model) - Loss: 1.4394 - Accuracy: 0.3235 - F1: 0.3233
sub_14:Test (Best Model) - Loss: 1.4294 - Accuracy: 0.2941 - F1: 0.2751
sub_14:Test (Best Model) - Loss: 1.4250 - Accuracy: 0.2353 - F1: 0.2215
sub_14:Test (Best Model) - Loss: 1.4136 - Accuracy: 0.2500 - F1: 0.2553
sub_14:Test (Best Model) - Loss: 1.3613 - Accuracy: 0.3235 - F1: 0.2965
sub_14:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.2941 - F1: 0.2883
sub_14:Test (Best Model) - Loss: 1.3728 - Accuracy: 0.2647 - F1: 0.2650
sub_14:Test (Best Model) - Loss: 1.3570 - Accuracy: 0.3088 - F1: 0.3136
sub_15:Test (Best Model) - Loss: 1.4234 - Accuracy: 0.3088 - F1: 0.3381
sub_15:Test (Best Model) - Loss: 1.4642 - Accuracy: 0.3088 - F1: 0.3080
sub_15:Test (Best Model) - Loss: 1.4054 - Accuracy: 0.3529 - F1: 0.3762
sub_15:Test (Best Model) - Loss: 1.4014 - Accuracy: 0.3676 - F1: 0.3995
sub_15:Test (Best Model) - Loss: 1.3715 - Accuracy: 0.3235 - F1: 0.3418
sub_15:Test (Best Model) - Loss: 1.2892 - Accuracy: 0.4412 - F1: 0.4409
sub_15:Test (Best Model) - Loss: 1.3437 - Accuracy: 0.4412 - F1: 0.4512
sub_15:Test (Best Model) - Loss: 1.3165 - Accuracy: 0.4853 - F1: 0.4864
sub_15:Test (Best Model) - Loss: 1.3128 - Accuracy: 0.3676 - F1: 0.3772
sub_15:Test (Best Model) - Loss: 1.3569 - Accuracy: 0.3382 - F1: 0.3516
sub_15:Test (Best Model) - Loss: 1.3207 - Accuracy: 0.4118 - F1: 0.4148
sub_15:Test (Best Model) - Loss: 1.3159 - Accuracy: 0.3971 - F1: 0.4030
sub_15:Test (Best Model) - Loss: 1.3378 - Accuracy: 0.3529 - F1: 0.3484
sub_15:Test (Best Model) - Loss: 1.3310 - Accuracy: 0.3824 - F1: 0.3761
sub_15:Test (Best Model) - Loss: 1.3122 - Accuracy: 0.4118 - F1: 0.4259
sub_16:Test (Best Model) - Loss: 1.3646 - Accuracy: 0.2941 - F1: 0.2371
sub_16:Test (Best Model) - Loss: 1.3532 - Accuracy: 0.3824 - F1: 0.3810
sub_16:Test (Best Model) - Loss: 1.3746 - Accuracy: 0.3382 - F1: 0.3156
sub_16:Test (Best Model) - Loss: 1.3893 - Accuracy: 0.2500 - F1: 0.2530
sub_16:Test (Best Model) - Loss: 1.3375 - Accuracy: 0.3824 - F1: 0.3282
sub_16:Test (Best Model) - Loss: 1.3804 - Accuracy: 0.3088 - F1: 0.3087
sub_16:Test (Best Model) - Loss: 1.3896 - Accuracy: 0.3235 - F1: 0.3288
sub_16:Test (Best Model) - Loss: 1.4287 - Accuracy: 0.2794 - F1: 0.2908
sub_16:Test (Best Model) - Loss: 1.3849 - Accuracy: 0.3088 - F1: 0.3153
sub_16:Test (Best Model) - Loss: 1.5367 - Accuracy: 0.2647 - F1: 0.2749
sub_16:Test (Best Model) - Loss: 1.3645 - Accuracy: 0.3382 - F1: 0.3206
sub_16:Test (Best Model) - Loss: 1.3361 - Accuracy: 0.4706 - F1: 0.4583
sub_16:Test (Best Model) - Loss: 1.3739 - Accuracy: 0.3088 - F1: 0.2873
sub_16:Test (Best Model) - Loss: 1.3662 - Accuracy: 0.2794 - F1: 0.2823
sub_16:Test (Best Model) - Loss: 1.3689 - Accuracy: 0.3235 - F1: 0.3114
sub_17:Test (Best Model) - Loss: 1.3417 - Accuracy: 0.3913 - F1: 0.3168
sub_17:Test (Best Model) - Loss: 1.3322 - Accuracy: 0.3768 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 1.3296 - Accuracy: 0.4203 - F1: 0.3750
sub_17:Test (Best Model) - Loss: 1.3579 - Accuracy: 0.3623 - F1: 0.3590
sub_17:Test (Best Model) - Loss: 1.3450 - Accuracy: 0.3623 - F1: 0.2919
sub_17:Test (Best Model) - Loss: 1.3673 - Accuracy: 0.3333 - F1: 0.2649
sub_17:Test (Best Model) - Loss: 1.3777 - Accuracy: 0.3623 - F1: 0.3095
sub_17:Test (Best Model) - Loss: 1.3938 - Accuracy: 0.3623 - F1: 0.3455
sub_17:Test (Best Model) - Loss: 1.3746 - Accuracy: 0.3623 - F1: 0.3167
sub_17:Test (Best Model) - Loss: 1.3885 - Accuracy: 0.3768 - F1: 0.3441
sub_17:Test (Best Model) - Loss: 1.3315 - Accuracy: 0.3824 - F1: 0.3701
sub_17:Test (Best Model) - Loss: 1.3550 - Accuracy: 0.3382 - F1: 0.3222
sub_17:Test (Best Model) - Loss: 1.3737 - Accuracy: 0.3382 - F1: 0.3203
sub_17:Test (Best Model) - Loss: 1.3637 - Accuracy: 0.3235 - F1: 0.2769
sub_17:Test (Best Model) - Loss: 1.3458 - Accuracy: 0.3529 - F1: 0.3386
sub_18:Test (Best Model) - Loss: 1.3587 - Accuracy: 0.2609 - F1: 0.2642
sub_18:Test (Best Model) - Loss: 1.3448 - Accuracy: 0.3043 - F1: 0.3289
sub_18:Test (Best Model) - Loss: 1.3526 - Accuracy: 0.3333 - F1: 0.3128
sub_18:Test (Best Model) - Loss: 1.3751 - Accuracy: 0.3043 - F1: 0.3078
sub_18:Test (Best Model) - Loss: 1.3685 - Accuracy: 0.2899 - F1: 0.2922
sub_18:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2794 - F1: 0.3098
sub_18:Test (Best Model) - Loss: 1.3790 - Accuracy: 0.2794 - F1: 0.2772
sub_18:Test (Best Model) - Loss: 1.4234 - Accuracy: 0.2794 - F1: 0.2873
sub_18:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.2500 - F1: 0.2481
sub_18:Test (Best Model) - Loss: 1.3953 - Accuracy: 0.2206 - F1: 0.2280
sub_18:Test (Best Model) - Loss: 1.3648 - Accuracy: 0.2794 - F1: 0.2563
sub_18:Test (Best Model) - Loss: 1.3821 - Accuracy: 0.2647 - F1: 0.2503
sub_18:Test (Best Model) - Loss: 1.3729 - Accuracy: 0.2500 - F1: 0.2380
sub_18:Test (Best Model) - Loss: 1.3539 - Accuracy: 0.3235 - F1: 0.3166
sub_18:Test (Best Model) - Loss: 1.3697 - Accuracy: 0.2647 - F1: 0.2417
sub_19:Test (Best Model) - Loss: 1.3794 - Accuracy: 0.3382 - F1: 0.3087
sub_19:Test (Best Model) - Loss: 1.3764 - Accuracy: 0.3088 - F1: 0.2682
sub_19:Test (Best Model) - Loss: 1.4059 - Accuracy: 0.3088 - F1: 0.3001
sub_19:Test (Best Model) - Loss: 1.3770 - Accuracy: 0.2941 - F1: 0.2864
sub_19:Test (Best Model) - Loss: 1.3708 - Accuracy: 0.3382 - F1: 0.2846
sub_19:Test (Best Model) - Loss: 1.4036 - Accuracy: 0.3529 - F1: 0.3521
sub_19:Test (Best Model) - Loss: 1.3765 - Accuracy: 0.3529 - F1: 0.3139
sub_19:Test (Best Model) - Loss: 1.3764 - Accuracy: 0.3824 - F1: 0.3713
sub_19:Test (Best Model) - Loss: 1.3617 - Accuracy: 0.3824 - F1: 0.3521
sub_19:Test (Best Model) - Loss: 1.3920 - Accuracy: 0.2941 - F1: 0.2522
sub_19:Test (Best Model) - Loss: 1.3544 - Accuracy: 0.3529 - F1: 0.3513
sub_19:Test (Best Model) - Loss: 1.3976 - Accuracy: 0.2059 - F1: 0.2199
sub_19:Test (Best Model) - Loss: 1.3301 - Accuracy: 0.3235 - F1: 0.3102
sub_19:Test (Best Model) - Loss: 1.4066 - Accuracy: 0.3088 - F1: 0.3179
sub_19:Test (Best Model) - Loss: 1.3395 - Accuracy: 0.3971 - F1: 0.3976
sub_20:Test (Best Model) - Loss: 1.3537 - Accuracy: 0.3235 - F1: 0.3105
sub_20:Test (Best Model) - Loss: 1.3224 - Accuracy: 0.3971 - F1: 0.4121
sub_20:Test (Best Model) - Loss: 1.3739 - Accuracy: 0.3824 - F1: 0.3728
sub_20:Test (Best Model) - Loss: 1.3908 - Accuracy: 0.2941 - F1: 0.2883
sub_20:Test (Best Model) - Loss: 1.3715 - Accuracy: 0.3088 - F1: 0.2893
sub_20:Test (Best Model) - Loss: 1.3891 - Accuracy: 0.2941 - F1: 0.2867
sub_20:Test (Best Model) - Loss: 1.3552 - Accuracy: 0.3382 - F1: 0.3406
sub_20:Test (Best Model) - Loss: 1.3796 - Accuracy: 0.3676 - F1: 0.3849
sub_20:Test (Best Model) - Loss: 1.4325 - Accuracy: 0.2500 - F1: 0.2478
sub_20:Test (Best Model) - Loss: 1.4102 - Accuracy: 0.3382 - F1: 0.3386
sub_20:Test (Best Model) - Loss: 1.3441 - Accuracy: 0.3333 - F1: 0.3338
sub_20:Test (Best Model) - Loss: 1.3642 - Accuracy: 0.3188 - F1: 0.3164
sub_20:Test (Best Model) - Loss: 1.4028 - Accuracy: 0.2464 - F1: 0.2398
sub_20:Test (Best Model) - Loss: 1.3802 - Accuracy: 0.3478 - F1: 0.3543
sub_20:Test (Best Model) - Loss: 1.3475 - Accuracy: 0.3188 - F1: 0.3410
sub_21:Test (Best Model) - Loss: 1.3750 - Accuracy: 0.2941 - F1: 0.2684
sub_21:Test (Best Model) - Loss: 1.4031 - Accuracy: 0.2941 - F1: 0.2912
sub_21:Test (Best Model) - Loss: 1.4053 - Accuracy: 0.2794 - F1: 0.2711
sub_21:Test (Best Model) - Loss: 1.4161 - Accuracy: 0.2941 - F1: 0.2735
sub_21:Test (Best Model) - Loss: 1.4432 - Accuracy: 0.2794 - F1: 0.2717
sub_21:Test (Best Model) - Loss: 1.4073 - Accuracy: 0.1765 - F1: 0.1803
sub_21:Test (Best Model) - Loss: 1.4026 - Accuracy: 0.3382 - F1: 0.3220
sub_21:Test (Best Model) - Loss: 1.3971 - Accuracy: 0.2941 - F1: 0.2825
sub_21:Test (Best Model) - Loss: 1.4303 - Accuracy: 0.2647 - F1: 0.2585
sub_21:Test (Best Model) - Loss: 1.3764 - Accuracy: 0.2794 - F1: 0.2788
sub_21:Test (Best Model) - Loss: 1.3693 - Accuracy: 0.2059 - F1: 0.1929
sub_21:Test (Best Model) - Loss: 1.4032 - Accuracy: 0.2941 - F1: 0.2834
sub_21:Test (Best Model) - Loss: 1.3743 - Accuracy: 0.2353 - F1: 0.2234
sub_21:Test (Best Model) - Loss: 1.3721 - Accuracy: 0.3088 - F1: 0.2834
sub_21:Test (Best Model) - Loss: 1.3568 - Accuracy: 0.3235 - F1: 0.3200
sub_22:Test (Best Model) - Loss: 1.4074 - Accuracy: 0.2647 - F1: 0.2444
sub_22:Test (Best Model) - Loss: 1.3757 - Accuracy: 0.3235 - F1: 0.3285
sub_22:Test (Best Model) - Loss: 1.4007 - Accuracy: 0.2647 - F1: 0.2669
sub_22:Test (Best Model) - Loss: 1.3941 - Accuracy: 0.3088 - F1: 0.3276
sub_22:Test (Best Model) - Loss: 1.4006 - Accuracy: 0.2059 - F1: 0.2082
sub_22:Test (Best Model) - Loss: 1.3800 - Accuracy: 0.2754 - F1: 0.2416
sub_22:Test (Best Model) - Loss: 1.3740 - Accuracy: 0.3188 - F1: 0.3103
sub_22:Test (Best Model) - Loss: 1.3807 - Accuracy: 0.2609 - F1: 0.2339
sub_22:Test (Best Model) - Loss: 1.3800 - Accuracy: 0.2609 - F1: 0.2557
sub_22:Test (Best Model) - Loss: 1.3730 - Accuracy: 0.3188 - F1: 0.2889
sub_22:Test (Best Model) - Loss: 1.3817 - Accuracy: 0.2794 - F1: 0.3098
sub_22:Test (Best Model) - Loss: 1.3705 - Accuracy: 0.2647 - F1: 0.2538
sub_22:Test (Best Model) - Loss: 1.3772 - Accuracy: 0.3088 - F1: 0.2987
sub_22:Test (Best Model) - Loss: 1.3845 - Accuracy: 0.2941 - F1: 0.3039
sub_22:Test (Best Model) - Loss: 1.3764 - Accuracy: 0.3382 - F1: 0.3176
sub_23:Test (Best Model) - Loss: 1.3988 - Accuracy: 0.3043 - F1: 0.2853
sub_23:Test (Best Model) - Loss: 1.3628 - Accuracy: 0.3623 - F1: 0.3504
sub_23:Test (Best Model) - Loss: 1.3795 - Accuracy: 0.2464 - F1: 0.2253
sub_23:Test (Best Model) - Loss: 1.3451 - Accuracy: 0.3043 - F1: 0.2913
sub_23:Test (Best Model) - Loss: 1.3669 - Accuracy: 0.2754 - F1: 0.2604
sub_23:Test (Best Model) - Loss: 1.3568 - Accuracy: 0.3382 - F1: 0.3059
sub_23:Test (Best Model) - Loss: 1.3523 - Accuracy: 0.3971 - F1: 0.4051
sub_23:Test (Best Model) - Loss: 1.3619 - Accuracy: 0.3235 - F1: 0.3267
sub_23:Test (Best Model) - Loss: 1.3423 - Accuracy: 0.2794 - F1: 0.2816
sub_23:Test (Best Model) - Loss: 1.3736 - Accuracy: 0.3088 - F1: 0.2930
sub_23:Test (Best Model) - Loss: 1.3953 - Accuracy: 0.2174 - F1: 0.1755
sub_23:Test (Best Model) - Loss: 1.3758 - Accuracy: 0.3043 - F1: 0.2956
sub_23:Test (Best Model) - Loss: 1.3446 - Accuracy: 0.4203 - F1: 0.4039
sub_23:Test (Best Model) - Loss: 1.3815 - Accuracy: 0.3188 - F1: 0.3057
sub_23:Test (Best Model) - Loss: 1.3879 - Accuracy: 0.1884 - F1: 0.1631
sub_24:Test (Best Model) - Loss: 1.3642 - Accuracy: 0.3382 - F1: 0.2944
sub_24:Test (Best Model) - Loss: 1.3884 - Accuracy: 0.2206 - F1: 0.2150
sub_24:Test (Best Model) - Loss: 1.4031 - Accuracy: 0.2500 - F1: 0.2496
sub_24:Test (Best Model) - Loss: 1.4196 - Accuracy: 0.2206 - F1: 0.2054
sub_24:Test (Best Model) - Loss: 1.3942 - Accuracy: 0.1912 - F1: 0.1880
sub_24:Test (Best Model) - Loss: 1.3866 - Accuracy: 0.3088 - F1: 0.2923
sub_24:Test (Best Model) - Loss: 1.3815 - Accuracy: 0.2647 - F1: 0.2652
sub_24:Test (Best Model) - Loss: 1.3798 - Accuracy: 0.2941 - F1: 0.2989
sub_24:Test (Best Model) - Loss: 1.3811 - Accuracy: 0.3235 - F1: 0.3112
sub_24:Test (Best Model) - Loss: 1.3793 - Accuracy: 0.2500 - F1: 0.2457
sub_24:Test (Best Model) - Loss: 1.4244 - Accuracy: 0.2059 - F1: 0.2013
sub_24:Test (Best Model) - Loss: 1.4343 - Accuracy: 0.1765 - F1: 0.1771
sub_24:Test (Best Model) - Loss: 1.4067 - Accuracy: 0.1765 - F1: 0.1683
sub_24:Test (Best Model) - Loss: 1.4369 - Accuracy: 0.3235 - F1: 0.3206
sub_24:Test (Best Model) - Loss: 1.4173 - Accuracy: 0.2647 - F1: 0.2473
sub_25:Test (Best Model) - Loss: 1.3752 - Accuracy: 0.2899 - F1: 0.2847
sub_25:Test (Best Model) - Loss: 1.4093 - Accuracy: 0.2754 - F1: 0.2764
sub_25:Test (Best Model) - Loss: 1.3950 - Accuracy: 0.3043 - F1: 0.2893
sub_25:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.3188 - F1: 0.3174
sub_25:Test (Best Model) - Loss: 1.4026 - Accuracy: 0.2464 - F1: 0.2423
sub_25:Test (Best Model) - Loss: 1.3632 - Accuracy: 0.2647 - F1: 0.2616
sub_25:Test (Best Model) - Loss: 1.3729 - Accuracy: 0.3235 - F1: 0.3177
sub_25:Test (Best Model) - Loss: 1.3489 - Accuracy: 0.3382 - F1: 0.3260
sub_25:Test (Best Model) - Loss: 1.3547 - Accuracy: 0.3382 - F1: 0.3181
sub_25:Test (Best Model) - Loss: 1.3678 - Accuracy: 0.2941 - F1: 0.2907
sub_25:Test (Best Model) - Loss: 1.3999 - Accuracy: 0.3088 - F1: 0.3183
sub_25:Test (Best Model) - Loss: 1.3553 - Accuracy: 0.3382 - F1: 0.3261
sub_25:Test (Best Model) - Loss: 1.3560 - Accuracy: 0.3088 - F1: 0.2980
sub_25:Test (Best Model) - Loss: 1.3813 - Accuracy: 0.2647 - F1: 0.2493
sub_25:Test (Best Model) - Loss: 1.3748 - Accuracy: 0.3088 - F1: 0.2893
sub_26:Test (Best Model) - Loss: 1.3397 - Accuracy: 0.3333 - F1: 0.3233
sub_26:Test (Best Model) - Loss: 1.3359 - Accuracy: 0.4203 - F1: 0.4259
sub_26:Test (Best Model) - Loss: 1.3390 - Accuracy: 0.4493 - F1: 0.4649
sub_26:Test (Best Model) - Loss: 1.3280 - Accuracy: 0.4058 - F1: 0.3954
sub_26:Test (Best Model) - Loss: 1.3015 - Accuracy: 0.4348 - F1: 0.4181
sub_26:Test (Best Model) - Loss: 1.3224 - Accuracy: 0.4118 - F1: 0.4218
sub_26:Test (Best Model) - Loss: 1.3194 - Accuracy: 0.3529 - F1: 0.3659
sub_26:Test (Best Model) - Loss: 1.3348 - Accuracy: 0.3824 - F1: 0.3604
sub_26:Test (Best Model) - Loss: 1.3361 - Accuracy: 0.4118 - F1: 0.4176
sub_26:Test (Best Model) - Loss: 1.3440 - Accuracy: 0.3088 - F1: 0.3136
sub_26:Test (Best Model) - Loss: 1.3195 - Accuracy: 0.4559 - F1: 0.4593
sub_26:Test (Best Model) - Loss: 1.3453 - Accuracy: 0.4118 - F1: 0.4186
sub_26:Test (Best Model) - Loss: 1.3452 - Accuracy: 0.4412 - F1: 0.4505
sub_26:Test (Best Model) - Loss: 1.3246 - Accuracy: 0.5147 - F1: 0.5238
sub_26:Test (Best Model) - Loss: 1.3493 - Accuracy: 0.4265 - F1: 0.4545
sub_27:Test (Best Model) - Loss: 1.3417 - Accuracy: 0.3913 - F1: 0.3168
sub_27:Test (Best Model) - Loss: 1.3322 - Accuracy: 0.3768 - F1: 0.3529
sub_27:Test (Best Model) - Loss: 1.3296 - Accuracy: 0.4203 - F1: 0.3750
sub_27:Test (Best Model) - Loss: 1.3579 - Accuracy: 0.3623 - F1: 0.3590
sub_27:Test (Best Model) - Loss: 1.3450 - Accuracy: 0.3623 - F1: 0.2919
sub_27:Test (Best Model) - Loss: 1.3673 - Accuracy: 0.3333 - F1: 0.2649
sub_27:Test (Best Model) - Loss: 1.3777 - Accuracy: 0.3623 - F1: 0.3095
sub_27:Test (Best Model) - Loss: 1.3938 - Accuracy: 0.3623 - F1: 0.3455
sub_27:Test (Best Model) - Loss: 1.3746 - Accuracy: 0.3623 - F1: 0.3167
sub_27:Test (Best Model) - Loss: 1.3885 - Accuracy: 0.3768 - F1: 0.3441
sub_27:Test (Best Model) - Loss: 1.3315 - Accuracy: 0.3824 - F1: 0.3701
sub_27:Test (Best Model) - Loss: 1.3550 - Accuracy: 0.3382 - F1: 0.3222
sub_27:Test (Best Model) - Loss: 1.3737 - Accuracy: 0.3382 - F1: 0.3203
sub_27:Test (Best Model) - Loss: 1.3637 - Accuracy: 0.3235 - F1: 0.2769
sub_27:Test (Best Model) - Loss: 1.3458 - Accuracy: 0.3529 - F1: 0.3386
sub_28:Test (Best Model) - Loss: 1.4068 - Accuracy: 0.2500 - F1: 0.2463
sub_28:Test (Best Model) - Loss: 1.4183 - Accuracy: 0.2059 - F1: 0.1929
sub_28:Test (Best Model) - Loss: 1.4508 - Accuracy: 0.2059 - F1: 0.2011
sub_28:Test (Best Model) - Loss: 1.4493 - Accuracy: 0.2206 - F1: 0.2245
sub_28:Test (Best Model) - Loss: 1.4513 - Accuracy: 0.2206 - F1: 0.2401
sub_28:Test (Best Model) - Loss: 1.4664 - Accuracy: 0.2794 - F1: 0.2676
sub_28:Test (Best Model) - Loss: 1.4734 - Accuracy: 0.2353 - F1: 0.2181
sub_28:Test (Best Model) - Loss: 1.4337 - Accuracy: 0.2794 - F1: 0.2582
sub_28:Test (Best Model) - Loss: 1.5130 - Accuracy: 0.2941 - F1: 0.3011
sub_28:Test (Best Model) - Loss: 1.4269 - Accuracy: 0.3088 - F1: 0.3011
sub_28:Test (Best Model) - Loss: 1.3945 - Accuracy: 0.2647 - F1: 0.2377
sub_28:Test (Best Model) - Loss: 1.3502 - Accuracy: 0.2794 - F1: 0.2290
sub_28:Test (Best Model) - Loss: 1.3642 - Accuracy: 0.3529 - F1: 0.3257
sub_28:Test (Best Model) - Loss: 1.3678 - Accuracy: 0.3824 - F1: 0.3668
sub_28:Test (Best Model) - Loss: 1.3632 - Accuracy: 0.3824 - F1: 0.3422
sub_29:Test (Best Model) - Loss: 1.3450 - Accuracy: 0.3824 - F1: 0.4051
sub_29:Test (Best Model) - Loss: 1.3355 - Accuracy: 0.3088 - F1: 0.3142
sub_29:Test (Best Model) - Loss: 1.2845 - Accuracy: 0.3676 - F1: 0.3744
sub_29:Test (Best Model) - Loss: 1.3083 - Accuracy: 0.3824 - F1: 0.4102
sub_29:Test (Best Model) - Loss: 1.3137 - Accuracy: 0.3676 - F1: 0.3961
sub_29:Test (Best Model) - Loss: 1.2917 - Accuracy: 0.4118 - F1: 0.4229
sub_29:Test (Best Model) - Loss: 1.3001 - Accuracy: 0.3824 - F1: 0.3766
sub_29:Test (Best Model) - Loss: 1.3164 - Accuracy: 0.3676 - F1: 0.3747
sub_29:Test (Best Model) - Loss: 1.2615 - Accuracy: 0.5000 - F1: 0.5090
sub_29:Test (Best Model) - Loss: 1.2818 - Accuracy: 0.3971 - F1: 0.4116
sub_29:Test (Best Model) - Loss: 1.2790 - Accuracy: 0.4783 - F1: 0.4685
sub_29:Test (Best Model) - Loss: 1.2758 - Accuracy: 0.3768 - F1: 0.3876
sub_29:Test (Best Model) - Loss: 1.3033 - Accuracy: 0.3913 - F1: 0.3965
sub_29:Test (Best Model) - Loss: 1.2490 - Accuracy: 0.4783 - F1: 0.4925
sub_29:Test (Best Model) - Loss: 1.2658 - Accuracy: 0.4493 - F1: 0.4610

=== Summary Results ===

acc: 31.54 ± 4.64
F1: 30.66 ± 4.81
acc-in: 37.46 ± 4.76
F1-in: 35.89 ± 5.02
