lr: 1e-05
sub_1:Test (Best Model) - Loss: 1.3526 - Accuracy: 0.2500 - F1: 0.1714
sub_2:Test (Best Model) - Loss: 1.3256 - Accuracy: 0.4348 - F1: 0.2990
sub_3:Test (Best Model) - Loss: 1.3199 - Accuracy: 0.5294 - F1: 0.4673
sub_1:Test (Best Model) - Loss: 1.3670 - Accuracy: 0.2059 - F1: 0.0854
sub_2:Test (Best Model) - Loss: 1.3289 - Accuracy: 0.2174 - F1: 0.0893
sub_3:Test (Best Model) - Loss: 1.3542 - Accuracy: 0.2059 - F1: 0.0854
sub_1:Test (Best Model) - Loss: 1.3768 - Accuracy: 0.2353 - F1: 0.1637
sub_2:Test (Best Model) - Loss: 1.3005 - Accuracy: 0.4348 - F1: 0.3028
sub_3:Test (Best Model) - Loss: 1.3186 - Accuracy: 0.6471 - F1: 0.5619
sub_1:Test (Best Model) - Loss: 1.3564 - Accuracy: 0.3529 - F1: 0.2604
sub_2:Test (Best Model) - Loss: 1.3368 - Accuracy: 0.3188 - F1: 0.2174
sub_3:Test (Best Model) - Loss: 1.2067 - Accuracy: 0.5294 - F1: 0.4616
sub_1:Test (Best Model) - Loss: 1.3588 - Accuracy: 0.2059 - F1: 0.0854
sub_2:Test (Best Model) - Loss: 1.3087 - Accuracy: 0.3768 - F1: 0.2875
sub_3:Test (Best Model) - Loss: 1.2997 - Accuracy: 0.3676 - F1: 0.2941
sub_1:Test (Best Model) - Loss: 1.3463 - Accuracy: 0.3913 - F1: 0.2717
sub_2:Test (Best Model) - Loss: 1.2850 - Accuracy: 0.4412 - F1: 0.3112
sub_2:Test (Best Model) - Loss: 1.3441 - Accuracy: 0.4412 - F1: 0.2970
sub_1:Test (Best Model) - Loss: 1.3391 - Accuracy: 0.3768 - F1: 0.2645
sub_3:Test (Best Model) - Loss: 1.3034 - Accuracy: 0.2464 - F1: 0.1514
sub_2:Test (Best Model) - Loss: 1.2547 - Accuracy: 0.4412 - F1: 0.2971
sub_1:Test (Best Model) - Loss: 1.3387 - Accuracy: 0.3623 - F1: 0.2508
sub_3:Test (Best Model) - Loss: 1.3242 - Accuracy: 0.3333 - F1: 0.2641
sub_2:Test (Best Model) - Loss: 1.3128 - Accuracy: 0.4118 - F1: 0.2917
sub_1:Test (Best Model) - Loss: 1.3395 - Accuracy: 0.3478 - F1: 0.2279
sub_3:Test (Best Model) - Loss: 1.3321 - Accuracy: 0.2754 - F1: 0.1834
sub_1:Test (Best Model) - Loss: 1.3700 - Accuracy: 0.2899 - F1: 0.1647
sub_2:Test (Best Model) - Loss: 1.3194 - Accuracy: 0.2794 - F1: 0.2118
sub_1:Test (Best Model) - Loss: 1.3685 - Accuracy: 0.2059 - F1: 0.0854
sub_3:Test (Best Model) - Loss: 1.3425 - Accuracy: 0.2319 - F1: 0.1208
sub_2:Test (Best Model) - Loss: 1.2607 - Accuracy: 0.4638 - F1: 0.3142
sub_1:Test (Best Model) - Loss: 1.3016 - Accuracy: 0.2206 - F1: 0.1138
sub_2:Test (Best Model) - Loss: 1.2957 - Accuracy: 0.4348 - F1: 0.2954
sub_3:Test (Best Model) - Loss: 1.3443 - Accuracy: 0.4783 - F1: 0.3807
sub_1:Test (Best Model) - Loss: 1.3613 - Accuracy: 0.2500 - F1: 0.1600
sub_2:Test (Best Model) - Loss: 1.3372 - Accuracy: 0.4638 - F1: 0.3160
sub_3:Test (Best Model) - Loss: 1.3557 - Accuracy: 0.2174 - F1: 0.0893
sub_1:Test (Best Model) - Loss: 1.3641 - Accuracy: 0.2353 - F1: 0.1375
sub_2:Test (Best Model) - Loss: 1.3344 - Accuracy: 0.4638 - F1: 0.3205
sub_1:Test (Best Model) - Loss: 1.3592 - Accuracy: 0.2794 - F1: 0.1996
sub_3:Test (Best Model) - Loss: 1.1969 - Accuracy: 0.4493 - F1: 0.3423
sub_2:Test (Best Model) - Loss: 1.2618 - Accuracy: 0.4638 - F1: 0.3135
sub_3:Test (Best Model) - Loss: 1.2543 - Accuracy: 0.4638 - F1: 0.3964
sub_3:Test (Best Model) - Loss: 1.3103 - Accuracy: 0.2609 - F1: 0.1564
sub_3:Test (Best Model) - Loss: 1.2671 - Accuracy: 0.5217 - F1: 0.4484
sub_4:Test (Best Model) - Loss: 1.3370 - Accuracy: 0.4493 - F1: 0.3040
sub_5:Test (Best Model) - Loss: 1.3790 - Accuracy: 0.3529 - F1: 0.2758
sub_6:Test (Best Model) - Loss: 1.3808 - Accuracy: 0.3088 - F1: 0.1886
sub_4:Test (Best Model) - Loss: 1.3245 - Accuracy: 0.4638 - F1: 0.3126
sub_6:Test (Best Model) - Loss: 1.3595 - Accuracy: 0.3824 - F1: 0.2501
sub_4:Test (Best Model) - Loss: 1.3547 - Accuracy: 0.4203 - F1: 0.2841
sub_5:Test (Best Model) - Loss: 1.3696 - Accuracy: 0.3088 - F1: 0.2333
sub_4:Test (Best Model) - Loss: 1.3269 - Accuracy: 0.5072 - F1: 0.3960
sub_5:Test (Best Model) - Loss: 1.3366 - Accuracy: 0.3382 - F1: 0.2711
sub_6:Test (Best Model) - Loss: 1.3888 - Accuracy: 0.3088 - F1: 0.1900
sub_4:Test (Best Model) - Loss: 1.3280 - Accuracy: 0.4638 - F1: 0.3680
sub_5:Test (Best Model) - Loss: 1.3888 - Accuracy: 0.3382 - F1: 0.2640
sub_6:Test (Best Model) - Loss: 1.3468 - Accuracy: 0.3382 - F1: 0.2205
sub_5:Test (Best Model) - Loss: 1.3669 - Accuracy: 0.3235 - F1: 0.2484
sub_4:Test (Best Model) - Loss: 1.3298 - Accuracy: 0.2899 - F1: 0.2036
sub_6:Test (Best Model) - Loss: 1.3414 - Accuracy: 0.3676 - F1: 0.2417
sub_5:Test (Best Model) - Loss: 1.3632 - Accuracy: 0.2206 - F1: 0.1861
sub_4:Test (Best Model) - Loss: 1.3577 - Accuracy: 0.2899 - F1: 0.2128
sub_6:Test (Best Model) - Loss: 1.3520 - Accuracy: 0.3043 - F1: 0.2212
sub_4:Test (Best Model) - Loss: 1.3457 - Accuracy: 0.2754 - F1: 0.2009
sub_5:Test (Best Model) - Loss: 1.3396 - Accuracy: 0.3676 - F1: 0.2642
sub_6:Test (Best Model) - Loss: 1.3537 - Accuracy: 0.3623 - F1: 0.2804
sub_4:Test (Best Model) - Loss: 1.3372 - Accuracy: 0.2899 - F1: 0.2163
sub_6:Test (Best Model) - Loss: 1.3554 - Accuracy: 0.3188 - F1: 0.2414
sub_5:Test (Best Model) - Loss: 1.3525 - Accuracy: 0.3235 - F1: 0.2213
sub_5:Test (Best Model) - Loss: 1.3204 - Accuracy: 0.1765 - F1: 0.1322
sub_6:Test (Best Model) - Loss: 1.3378 - Accuracy: 0.3623 - F1: 0.2806
sub_4:Test (Best Model) - Loss: 1.3302 - Accuracy: 0.3478 - F1: 0.2516
sub_6:Test (Best Model) - Loss: 1.3704 - Accuracy: 0.3043 - F1: 0.2112
sub_5:Test (Best Model) - Loss: 1.3075 - Accuracy: 0.3824 - F1: 0.2922
sub_5:Test (Best Model) - Loss: 1.3601 - Accuracy: 0.4412 - F1: 0.3023
sub_4:Test (Best Model) - Loss: 1.3247 - Accuracy: 0.4638 - F1: 0.3548
sub_6:Test (Best Model) - Loss: 1.2547 - Accuracy: 0.4203 - F1: 0.3207
sub_4:Test (Best Model) - Loss: 1.3098 - Accuracy: 0.4783 - F1: 0.3636
sub_5:Test (Best Model) - Loss: 1.2873 - Accuracy: 0.2794 - F1: 0.1458
sub_6:Test (Best Model) - Loss: 1.3021 - Accuracy: 0.4348 - F1: 0.3748
sub_4:Test (Best Model) - Loss: 1.3396 - Accuracy: 0.4638 - F1: 0.3379
sub_6:Test (Best Model) - Loss: 1.3103 - Accuracy: 0.4203 - F1: 0.3207
sub_5:Test (Best Model) - Loss: 1.3313 - Accuracy: 0.4853 - F1: 0.4133
sub_4:Test (Best Model) - Loss: 1.3302 - Accuracy: 0.4638 - F1: 0.3509
sub_5:Test (Best Model) - Loss: 1.3714 - Accuracy: 0.1471 - F1: 0.0925
sub_6:Test (Best Model) - Loss: 1.3385 - Accuracy: 0.3623 - F1: 0.2755
sub_4:Test (Best Model) - Loss: 1.3048 - Accuracy: 0.4348 - F1: 0.3260
sub_6:Test (Best Model) - Loss: 1.3287 - Accuracy: 0.3913 - F1: 0.2931
sub_5:Test (Best Model) - Loss: 1.3690 - Accuracy: 0.2059 - F1: 0.1596
sub_9:Test (Best Model) - Loss: 1.3667 - Accuracy: 0.2206 - F1: 0.1163
sub_8:Test (Best Model) - Loss: 1.3549 - Accuracy: 0.3235 - F1: 0.1949
sub_7:Test (Best Model) - Loss: 1.2925 - Accuracy: 0.2353 - F1: 0.1445
sub_9:Test (Best Model) - Loss: 1.3516 - Accuracy: 0.2059 - F1: 0.0854
sub_8:Test (Best Model) - Loss: 1.3634 - Accuracy: 0.3824 - F1: 0.2633
sub_7:Test (Best Model) - Loss: 1.3466 - Accuracy: 0.2059 - F1: 0.0854
sub_9:Test (Best Model) - Loss: 1.3719 - Accuracy: 0.1765 - F1: 0.0896
sub_8:Test (Best Model) - Loss: 1.3591 - Accuracy: 0.3676 - F1: 0.2554
sub_9:Test (Best Model) - Loss: 1.3804 - Accuracy: 0.1765 - F1: 0.1060
sub_8:Test (Best Model) - Loss: 1.3425 - Accuracy: 0.3088 - F1: 0.1834
sub_7:Test (Best Model) - Loss: 1.1406 - Accuracy: 0.4265 - F1: 0.4361
sub_9:Test (Best Model) - Loss: 1.4001 - Accuracy: 0.1618 - F1: 0.0917
sub_8:Test (Best Model) - Loss: 1.3600 - Accuracy: 0.3529 - F1: 0.2579
sub_7:Test (Best Model) - Loss: 1.3515 - Accuracy: 0.4412 - F1: 0.3414
sub_9:Test (Best Model) - Loss: 1.3375 - Accuracy: 0.2059 - F1: 0.0854
sub_8:Test (Best Model) - Loss: 1.3157 - Accuracy: 0.4265 - F1: 0.3445
sub_7:Test (Best Model) - Loss: 1.3692 - Accuracy: 0.1324 - F1: 0.0748
sub_9:Test (Best Model) - Loss: 1.3610 - Accuracy: 0.2059 - F1: 0.0854
sub_8:Test (Best Model) - Loss: 1.3389 - Accuracy: 0.4265 - F1: 0.3211
sub_9:Test (Best Model) - Loss: 1.3556 - Accuracy: 0.2059 - F1: 0.0864
sub_7:Test (Best Model) - Loss: 1.2805 - Accuracy: 0.4118 - F1: 0.3106
sub_9:Test (Best Model) - Loss: 1.3550 - Accuracy: 0.2059 - F1: 0.0854
sub_8:Test (Best Model) - Loss: 1.3234 - Accuracy: 0.4853 - F1: 0.4405
sub_7:Test (Best Model) - Loss: 1.3458 - Accuracy: 0.3824 - F1: 0.3379
sub_9:Test (Best Model) - Loss: 1.3619 - Accuracy: 0.2059 - F1: 0.0875
sub_8:Test (Best Model) - Loss: 1.3337 - Accuracy: 0.3676 - F1: 0.2882
sub_9:Test (Best Model) - Loss: 1.3674 - Accuracy: 0.2206 - F1: 0.1127
sub_7:Test (Best Model) - Loss: 1.3385 - Accuracy: 0.4265 - F1: 0.3710
sub_8:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.3971 - F1: 0.2645
sub_9:Test (Best Model) - Loss: 1.3692 - Accuracy: 0.2059 - F1: 0.0854
sub_7:Test (Best Model) - Loss: 1.3450 - Accuracy: 0.3971 - F1: 0.2868
sub_9:Test (Best Model) - Loss: 1.3707 - Accuracy: 0.2500 - F1: 0.1533
sub_7:Test (Best Model) - Loss: 1.3091 - Accuracy: 0.2353 - F1: 0.1333
sub_9:Test (Best Model) - Loss: 1.3732 - Accuracy: 0.2059 - F1: 0.0854
sub_8:Test (Best Model) - Loss: 1.3014 - Accuracy: 0.3676 - F1: 0.2878
sub_7:Test (Best Model) - Loss: 1.3354 - Accuracy: 0.2059 - F1: 0.0875
sub_9:Test (Best Model) - Loss: 1.3830 - Accuracy: 0.2353 - F1: 0.1838
sub_8:Test (Best Model) - Loss: 1.3142 - Accuracy: 0.5882 - F1: 0.5167
sub_7:Test (Best Model) - Loss: 1.2931 - Accuracy: 0.4265 - F1: 0.3130
sub_8:Test (Best Model) - Loss: 1.3202 - Accuracy: 0.3676 - F1: 0.2951
sub_7:Test (Best Model) - Loss: 1.3405 - Accuracy: 0.2647 - F1: 0.1893
sub_8:Test (Best Model) - Loss: 1.3559 - Accuracy: 0.3088 - F1: 0.2372
sub_7:Test (Best Model) - Loss: 1.3393 - Accuracy: 0.2206 - F1: 0.1127
sub_8:Test (Best Model) - Loss: 1.3524 - Accuracy: 0.3824 - F1: 0.2968
sub_7:Test (Best Model) - Loss: 1.3391 - Accuracy: 0.2500 - F1: 0.1561
sub_11:Test (Best Model) - Loss: 1.2896 - Accuracy: 0.2899 - F1: 0.2126
sub_12:Test (Best Model) - Loss: 1.3398 - Accuracy: 0.2500 - F1: 0.1591
sub_10:Test (Best Model) - Loss: 1.4029 - Accuracy: 0.2059 - F1: 0.0972
sub_12:Test (Best Model) - Loss: 1.3430 - Accuracy: 0.2059 - F1: 0.0854
sub_11:Test (Best Model) - Loss: 1.2917 - Accuracy: 0.3623 - F1: 0.2799
sub_10:Test (Best Model) - Loss: 1.4038 - Accuracy: 0.2059 - F1: 0.0909
sub_12:Test (Best Model) - Loss: 1.2981 - Accuracy: 0.4265 - F1: 0.3016
sub_11:Test (Best Model) - Loss: 1.2614 - Accuracy: 0.5507 - F1: 0.4802
sub_10:Test (Best Model) - Loss: 1.4073 - Accuracy: 0.2059 - F1: 0.1313
sub_12:Test (Best Model) - Loss: 1.3295 - Accuracy: 0.4118 - F1: 0.3077
sub_11:Test (Best Model) - Loss: 1.2461 - Accuracy: 0.5362 - F1: 0.4675
sub_10:Test (Best Model) - Loss: 1.4019 - Accuracy: 0.2353 - F1: 0.1529
sub_12:Test (Best Model) - Loss: 1.3374 - Accuracy: 0.3824 - F1: 0.2759
sub_11:Test (Best Model) - Loss: 1.3061 - Accuracy: 0.3333 - F1: 0.2525
sub_12:Test (Best Model) - Loss: 1.3599 - Accuracy: 0.2319 - F1: 0.1167
sub_10:Test (Best Model) - Loss: 1.4188 - Accuracy: 0.1912 - F1: 0.0903
sub_11:Test (Best Model) - Loss: 1.3208 - Accuracy: 0.4058 - F1: 0.2811
sub_12:Test (Best Model) - Loss: 1.3721 - Accuracy: 0.2174 - F1: 0.0893
sub_11:Test (Best Model) - Loss: 1.3612 - Accuracy: 0.3478 - F1: 0.2259
sub_10:Test (Best Model) - Loss: 1.1981 - Accuracy: 0.4412 - F1: 0.3146
sub_12:Test (Best Model) - Loss: 1.3545 - Accuracy: 0.2464 - F1: 0.1415
sub_12:Test (Best Model) - Loss: 1.3693 - Accuracy: 0.2174 - F1: 0.1104
sub_11:Test (Best Model) - Loss: 1.3553 - Accuracy: 0.3768 - F1: 0.2903
sub_10:Test (Best Model) - Loss: 1.3094 - Accuracy: 0.3971 - F1: 0.2853
sub_11:Test (Best Model) - Loss: 1.3359 - Accuracy: 0.4203 - F1: 0.3215
sub_12:Test (Best Model) - Loss: 1.3342 - Accuracy: 0.3188 - F1: 0.2235
sub_10:Test (Best Model) - Loss: 1.2877 - Accuracy: 0.3088 - F1: 0.2255
sub_12:Test (Best Model) - Loss: 1.3669 - Accuracy: 0.2059 - F1: 0.0854
sub_11:Test (Best Model) - Loss: 1.3596 - Accuracy: 0.3188 - F1: 0.1913
sub_12:Test (Best Model) - Loss: 1.3119 - Accuracy: 0.2206 - F1: 0.1127
sub_10:Test (Best Model) - Loss: 1.3293 - Accuracy: 0.3824 - F1: 0.2940
sub_11:Test (Best Model) - Loss: 1.3361 - Accuracy: 0.4203 - F1: 0.2854
sub_10:Test (Best Model) - Loss: 1.4214 - Accuracy: 0.2647 - F1: 0.1059
sub_11:Test (Best Model) - Loss: 1.3141 - Accuracy: 0.4783 - F1: 0.3894
sub_12:Test (Best Model) - Loss: 1.3359 - Accuracy: 0.4118 - F1: 0.2917
sub_10:Test (Best Model) - Loss: 1.3488 - Accuracy: 0.2174 - F1: 0.0893
sub_12:Test (Best Model) - Loss: 1.3658 - Accuracy: 0.2059 - F1: 0.0854
sub_11:Test (Best Model) - Loss: 1.3411 - Accuracy: 0.3768 - F1: 0.2503
sub_10:Test (Best Model) - Loss: 1.3257 - Accuracy: 0.3333 - F1: 0.2525
sub_12:Test (Best Model) - Loss: 1.3520 - Accuracy: 0.3971 - F1: 0.2840
sub_11:Test (Best Model) - Loss: 1.3491 - Accuracy: 0.3768 - F1: 0.2512
sub_10:Test (Best Model) - Loss: 1.3311 - Accuracy: 0.3913 - F1: 0.3056
sub_11:Test (Best Model) - Loss: 1.3583 - Accuracy: 0.3333 - F1: 0.2158
sub_10:Test (Best Model) - Loss: 1.3595 - Accuracy: 0.2754 - F1: 0.1939
sub_10:Test (Best Model) - Loss: 1.3423 - Accuracy: 0.3768 - F1: 0.2833
sub_15:Test (Best Model) - Loss: 1.3772 - Accuracy: 0.2794 - F1: 0.2029
sub_14:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.2353 - F1: 0.1997
sub_13:Test (Best Model) - Loss: 1.3152 - Accuracy: 0.4265 - F1: 0.3001
sub_15:Test (Best Model) - Loss: 1.3676 - Accuracy: 0.2059 - F1: 0.0854
sub_14:Test (Best Model) - Loss: 1.3908 - Accuracy: 0.1912 - F1: 0.1199
sub_13:Test (Best Model) - Loss: 1.3021 - Accuracy: 0.3971 - F1: 0.2727
sub_15:Test (Best Model) - Loss: 1.3628 - Accuracy: 0.2647 - F1: 0.1822
sub_14:Test (Best Model) - Loss: 1.4029 - Accuracy: 0.2059 - F1: 0.1402
sub_13:Test (Best Model) - Loss: 1.3240 - Accuracy: 0.5147 - F1: 0.4333
sub_15:Test (Best Model) - Loss: 1.3556 - Accuracy: 0.4265 - F1: 0.3176
sub_14:Test (Best Model) - Loss: 1.3680 - Accuracy: 0.4265 - F1: 0.3403
sub_13:Test (Best Model) - Loss: 1.3359 - Accuracy: 0.4412 - F1: 0.3083
sub_15:Test (Best Model) - Loss: 1.3656 - Accuracy: 0.3382 - F1: 0.2947
sub_14:Test (Best Model) - Loss: 1.3969 - Accuracy: 0.2206 - F1: 0.1469
sub_15:Test (Best Model) - Loss: 1.3365 - Accuracy: 0.3235 - F1: 0.2659
sub_13:Test (Best Model) - Loss: 1.3587 - Accuracy: 0.4412 - F1: 0.3195
sub_14:Test (Best Model) - Loss: 1.3889 - Accuracy: 0.2500 - F1: 0.1640
sub_15:Test (Best Model) - Loss: 1.3705 - Accuracy: 0.2353 - F1: 0.1410
sub_13:Test (Best Model) - Loss: 1.3295 - Accuracy: 0.3188 - F1: 0.2423
sub_14:Test (Best Model) - Loss: 1.3918 - Accuracy: 0.2059 - F1: 0.1077
sub_13:Test (Best Model) - Loss: 1.3501 - Accuracy: 0.2899 - F1: 0.1987
sub_15:Test (Best Model) - Loss: 1.3416 - Accuracy: 0.3676 - F1: 0.2639
sub_14:Test (Best Model) - Loss: 1.3904 - Accuracy: 0.2353 - F1: 0.1542
sub_13:Test (Best Model) - Loss: 1.3494 - Accuracy: 0.4058 - F1: 0.2855
sub_15:Test (Best Model) - Loss: 1.3517 - Accuracy: 0.2059 - F1: 0.0854
sub_15:Test (Best Model) - Loss: 1.3694 - Accuracy: 0.3971 - F1: 0.2758
sub_14:Test (Best Model) - Loss: 1.4109 - Accuracy: 0.2059 - F1: 0.0909
sub_13:Test (Best Model) - Loss: 1.3403 - Accuracy: 0.2464 - F1: 0.1415
sub_15:Test (Best Model) - Loss: 1.3499 - Accuracy: 0.2059 - F1: 0.0854
sub_14:Test (Best Model) - Loss: 1.4027 - Accuracy: 0.2059 - F1: 0.0909
sub_13:Test (Best Model) - Loss: 1.3492 - Accuracy: 0.2174 - F1: 0.0893
sub_14:Test (Best Model) - Loss: 1.3541 - Accuracy: 0.2794 - F1: 0.1996
sub_15:Test (Best Model) - Loss: 1.3562 - Accuracy: 0.4559 - F1: 0.3117
sub_13:Test (Best Model) - Loss: 1.2497 - Accuracy: 0.4559 - F1: 0.3726
sub_15:Test (Best Model) - Loss: 1.3575 - Accuracy: 0.2353 - F1: 0.1338
sub_14:Test (Best Model) - Loss: 1.3897 - Accuracy: 0.3676 - F1: 0.2491
sub_15:Test (Best Model) - Loss: 1.3739 - Accuracy: 0.1912 - F1: 0.0802
sub_13:Test (Best Model) - Loss: 1.3299 - Accuracy: 0.4118 - F1: 0.3081
sub_14:Test (Best Model) - Loss: 1.3659 - Accuracy: 0.2941 - F1: 0.2288
sub_13:Test (Best Model) - Loss: 1.3610 - Accuracy: 0.4118 - F1: 0.3031
sub_14:Test (Best Model) - Loss: 1.3826 - Accuracy: 0.2059 - F1: 0.0933
sub_15:Test (Best Model) - Loss: 1.3526 - Accuracy: 0.2059 - F1: 0.0854
sub_13:Test (Best Model) - Loss: 1.3572 - Accuracy: 0.3971 - F1: 0.2727
sub_14:Test (Best Model) - Loss: 1.3700 - Accuracy: 0.3382 - F1: 0.2466
sub_13:Test (Best Model) - Loss: 1.3383 - Accuracy: 0.3382 - F1: 0.2762
sub_18:Test (Best Model) - Loss: 1.3730 - Accuracy: 0.2174 - F1: 0.0904
sub_16:Test (Best Model) - Loss: 1.3652 - Accuracy: 0.3676 - F1: 0.2524
sub_17:Test (Best Model) - Loss: 1.3397 - Accuracy: 0.3188 - F1: 0.2501
sub_18:Test (Best Model) - Loss: 1.3751 - Accuracy: 0.2174 - F1: 0.0893
sub_16:Test (Best Model) - Loss: 1.3700 - Accuracy: 0.2059 - F1: 0.0854
sub_18:Test (Best Model) - Loss: 1.3565 - Accuracy: 0.2174 - F1: 0.0893
sub_16:Test (Best Model) - Loss: 1.3693 - Accuracy: 0.2941 - F1: 0.2087
sub_17:Test (Best Model) - Loss: 1.2710 - Accuracy: 0.3043 - F1: 0.2270
sub_16:Test (Best Model) - Loss: 1.3738 - Accuracy: 0.4118 - F1: 0.2808
sub_18:Test (Best Model) - Loss: 1.3619 - Accuracy: 0.2319 - F1: 0.1165
sub_16:Test (Best Model) - Loss: 1.3894 - Accuracy: 0.2059 - F1: 0.1478
sub_17:Test (Best Model) - Loss: 1.3387 - Accuracy: 0.3188 - F1: 0.2323
sub_18:Test (Best Model) - Loss: 1.3738 - Accuracy: 0.2174 - F1: 0.0893
sub_16:Test (Best Model) - Loss: 1.3582 - Accuracy: 0.4265 - F1: 0.3642
sub_17:Test (Best Model) - Loss: 1.3220 - Accuracy: 0.3188 - F1: 0.2650
sub_18:Test (Best Model) - Loss: 1.3825 - Accuracy: 0.2059 - F1: 0.0854
sub_16:Test (Best Model) - Loss: 1.3708 - Accuracy: 0.3529 - F1: 0.2996
sub_18:Test (Best Model) - Loss: 1.3816 - Accuracy: 0.2059 - F1: 0.0854
sub_17:Test (Best Model) - Loss: 1.3388 - Accuracy: 0.3043 - F1: 0.2282
sub_18:Test (Best Model) - Loss: 1.3768 - Accuracy: 0.2059 - F1: 0.0854
sub_16:Test (Best Model) - Loss: 1.3582 - Accuracy: 0.3088 - F1: 0.1875
sub_17:Test (Best Model) - Loss: 1.2643 - Accuracy: 0.3478 - F1: 0.2571
sub_18:Test (Best Model) - Loss: 1.3774 - Accuracy: 0.2059 - F1: 0.0854
sub_16:Test (Best Model) - Loss: 1.3695 - Accuracy: 0.2500 - F1: 0.1579
sub_16:Test (Best Model) - Loss: 1.3759 - Accuracy: 0.3088 - F1: 0.1860
sub_18:Test (Best Model) - Loss: 1.3882 - Accuracy: 0.2059 - F1: 0.0864
sub_17:Test (Best Model) - Loss: 1.3456 - Accuracy: 0.3478 - F1: 0.2538
sub_16:Test (Best Model) - Loss: 1.3843 - Accuracy: 0.1912 - F1: 0.0802
sub_18:Test (Best Model) - Loss: 1.3658 - Accuracy: 0.2059 - F1: 0.0854
sub_17:Test (Best Model) - Loss: 1.3497 - Accuracy: 0.4348 - F1: 0.3722
sub_18:Test (Best Model) - Loss: 1.4220 - Accuracy: 0.2941 - F1: 0.1919
sub_17:Test (Best Model) - Loss: 1.3430 - Accuracy: 0.3333 - F1: 0.2545
sub_16:Test (Best Model) - Loss: 1.3688 - Accuracy: 0.2353 - F1: 0.1587
sub_17:Test (Best Model) - Loss: 1.3538 - Accuracy: 0.3333 - F1: 0.2064
sub_18:Test (Best Model) - Loss: 1.3745 - Accuracy: 0.2206 - F1: 0.1127
sub_17:Test (Best Model) - Loss: 1.3696 - Accuracy: 0.2059 - F1: 0.0854
sub_16:Test (Best Model) - Loss: 1.3778 - Accuracy: 0.2941 - F1: 0.2100
sub_18:Test (Best Model) - Loss: 1.3961 - Accuracy: 0.2059 - F1: 0.0854
sub_17:Test (Best Model) - Loss: 1.3432 - Accuracy: 0.2794 - F1: 0.2081
sub_16:Test (Best Model) - Loss: 1.3757 - Accuracy: 0.2206 - F1: 0.1127
sub_18:Test (Best Model) - Loss: 1.3998 - Accuracy: 0.2059 - F1: 0.0854
sub_17:Test (Best Model) - Loss: 1.3531 - Accuracy: 0.3824 - F1: 0.2733
sub_16:Test (Best Model) - Loss: 1.3444 - Accuracy: 0.1912 - F1: 0.0802
sub_17:Test (Best Model) - Loss: 1.3654 - Accuracy: 0.3824 - F1: 0.2837
sub_17:Test (Best Model) - Loss: 1.3624 - Accuracy: 0.4118 - F1: 0.2775
sub_19:Test (Best Model) - Loss: 1.3610 - Accuracy: 0.3382 - F1: 0.2384
sub_20:Test (Best Model) - Loss: 1.3080 - Accuracy: 0.4706 - F1: 0.4078
sub_21:Test (Best Model) - Loss: 1.2119 - Accuracy: 0.4412 - F1: 0.3350
sub_20:Test (Best Model) - Loss: 1.3193 - Accuracy: 0.4559 - F1: 0.3099
sub_19:Test (Best Model) - Loss: 1.3542 - Accuracy: 0.3824 - F1: 0.2583
sub_21:Test (Best Model) - Loss: 1.3123 - Accuracy: 0.2059 - F1: 0.0875
sub_19:Test (Best Model) - Loss: 1.3560 - Accuracy: 0.3088 - F1: 0.1999
sub_20:Test (Best Model) - Loss: 1.3001 - Accuracy: 0.5441 - F1: 0.4728
sub_21:Test (Best Model) - Loss: 1.2479 - Accuracy: 0.4265 - F1: 0.2927
sub_19:Test (Best Model) - Loss: 1.3339 - Accuracy: 0.3529 - F1: 0.2512
sub_20:Test (Best Model) - Loss: 1.3275 - Accuracy: 0.5000 - F1: 0.4146
sub_21:Test (Best Model) - Loss: 1.2789 - Accuracy: 0.4265 - F1: 0.2910
sub_19:Test (Best Model) - Loss: 1.3481 - Accuracy: 0.2941 - F1: 0.2611
sub_20:Test (Best Model) - Loss: 1.3075 - Accuracy: 0.4853 - F1: 0.3988
sub_21:Test (Best Model) - Loss: 1.3149 - Accuracy: 0.4118 - F1: 0.3198
sub_19:Test (Best Model) - Loss: 1.3505 - Accuracy: 0.2941 - F1: 0.2254
sub_20:Test (Best Model) - Loss: 1.3212 - Accuracy: 0.4559 - F1: 0.3786
sub_20:Test (Best Model) - Loss: 1.3269 - Accuracy: 0.4265 - F1: 0.2894
sub_21:Test (Best Model) - Loss: 1.2761 - Accuracy: 0.2794 - F1: 0.2173
sub_19:Test (Best Model) - Loss: 1.3299 - Accuracy: 0.3529 - F1: 0.2445
sub_21:Test (Best Model) - Loss: 1.3517 - Accuracy: 0.3824 - F1: 0.2818
sub_20:Test (Best Model) - Loss: 1.3093 - Accuracy: 0.4706 - F1: 0.3853
sub_19:Test (Best Model) - Loss: 1.3287 - Accuracy: 0.3676 - F1: 0.2500
sub_21:Test (Best Model) - Loss: 1.3190 - Accuracy: 0.4118 - F1: 0.2742
sub_20:Test (Best Model) - Loss: 1.3329 - Accuracy: 0.4412 - F1: 0.3500
sub_19:Test (Best Model) - Loss: 1.3202 - Accuracy: 0.3676 - F1: 0.3036
sub_20:Test (Best Model) - Loss: 1.3333 - Accuracy: 0.3529 - F1: 0.2370
sub_21:Test (Best Model) - Loss: 1.2950 - Accuracy: 0.4559 - F1: 0.3915
sub_19:Test (Best Model) - Loss: 1.3006 - Accuracy: 0.3971 - F1: 0.2727
sub_20:Test (Best Model) - Loss: 1.3041 - Accuracy: 0.4203 - F1: 0.3093
sub_19:Test (Best Model) - Loss: 1.3258 - Accuracy: 0.3529 - F1: 0.2384
sub_21:Test (Best Model) - Loss: 1.2988 - Accuracy: 0.2647 - F1: 0.1687
sub_20:Test (Best Model) - Loss: 1.2867 - Accuracy: 0.4348 - F1: 0.3283
sub_19:Test (Best Model) - Loss: 1.2995 - Accuracy: 0.3971 - F1: 0.2755
sub_20:Test (Best Model) - Loss: 1.3022 - Accuracy: 0.4203 - F1: 0.3093
sub_21:Test (Best Model) - Loss: 1.2128 - Accuracy: 0.3971 - F1: 0.2955
sub_20:Test (Best Model) - Loss: 1.3437 - Accuracy: 0.4348 - F1: 0.3297
sub_19:Test (Best Model) - Loss: 1.1995 - Accuracy: 0.5000 - F1: 0.4294
sub_21:Test (Best Model) - Loss: 1.3184 - Accuracy: 0.3088 - F1: 0.2113
sub_20:Test (Best Model) - Loss: 1.3537 - Accuracy: 0.4203 - F1: 0.3093
sub_19:Test (Best Model) - Loss: 1.2748 - Accuracy: 0.5000 - F1: 0.4314
sub_21:Test (Best Model) - Loss: 1.3026 - Accuracy: 0.2206 - F1: 0.1148
sub_21:Test (Best Model) - Loss: 1.3262 - Accuracy: 0.2647 - F1: 0.1779
sub_19:Test (Best Model) - Loss: 1.3077 - Accuracy: 0.3824 - F1: 0.2750
sub_21:Test (Best Model) - Loss: 1.2548 - Accuracy: 0.4265 - F1: 0.3650
sub_22:Test (Best Model) - Loss: 1.3551 - Accuracy: 0.2206 - F1: 0.1127
sub_23:Test (Best Model) - Loss: 1.3495 - Accuracy: 0.2174 - F1: 0.0893
sub_24:Test (Best Model) - Loss: 1.2887 - Accuracy: 0.4265 - F1: 0.3059
sub_22:Test (Best Model) - Loss: 1.3466 - Accuracy: 0.2647 - F1: 0.1807
sub_23:Test (Best Model) - Loss: 1.2906 - Accuracy: 0.1449 - F1: 0.0676
sub_22:Test (Best Model) - Loss: 1.3384 - Accuracy: 0.3235 - F1: 0.2484
sub_24:Test (Best Model) - Loss: 1.2471 - Accuracy: 0.4118 - F1: 0.3402
sub_23:Test (Best Model) - Loss: 1.3394 - Accuracy: 0.1884 - F1: 0.1098
sub_24:Test (Best Model) - Loss: 1.3119 - Accuracy: 0.3971 - F1: 0.2727
sub_22:Test (Best Model) - Loss: 1.3350 - Accuracy: 0.3088 - F1: 0.2333
sub_24:Test (Best Model) - Loss: 1.3205 - Accuracy: 0.4706 - F1: 0.3294
sub_22:Test (Best Model) - Loss: 1.3554 - Accuracy: 0.2500 - F1: 0.1600
sub_23:Test (Best Model) - Loss: 1.3667 - Accuracy: 0.1884 - F1: 0.1218
sub_22:Test (Best Model) - Loss: 1.3520 - Accuracy: 0.4493 - F1: 0.3083
sub_23:Test (Best Model) - Loss: 1.3633 - Accuracy: 0.3333 - F1: 0.2269
sub_24:Test (Best Model) - Loss: 1.3561 - Accuracy: 0.3971 - F1: 0.2700
sub_22:Test (Best Model) - Loss: 1.3575 - Accuracy: 0.3913 - F1: 0.2687
sub_23:Test (Best Model) - Loss: 1.3394 - Accuracy: 0.2206 - F1: 0.1127
sub_24:Test (Best Model) - Loss: 1.3516 - Accuracy: 0.4265 - F1: 0.3284
sub_23:Test (Best Model) - Loss: 1.3534 - Accuracy: 0.1912 - F1: 0.0802
sub_22:Test (Best Model) - Loss: 1.3180 - Accuracy: 0.4348 - F1: 0.2964
sub_24:Test (Best Model) - Loss: 1.3383 - Accuracy: 0.4412 - F1: 0.3074
sub_23:Test (Best Model) - Loss: 1.3432 - Accuracy: 0.2059 - F1: 0.0854
sub_22:Test (Best Model) - Loss: 1.3402 - Accuracy: 0.4203 - F1: 0.2868
sub_23:Test (Best Model) - Loss: 1.3558 - Accuracy: 0.2059 - F1: 0.0854
sub_24:Test (Best Model) - Loss: 1.3151 - Accuracy: 0.4706 - F1: 0.4035
sub_22:Test (Best Model) - Loss: 1.3634 - Accuracy: 0.3188 - F1: 0.2009
sub_23:Test (Best Model) - Loss: 1.3582 - Accuracy: 0.3529 - F1: 0.2361
sub_24:Test (Best Model) - Loss: 1.3615 - Accuracy: 0.3971 - F1: 0.2868
sub_23:Test (Best Model) - Loss: 1.3572 - Accuracy: 0.2174 - F1: 0.0893
sub_22:Test (Best Model) - Loss: 1.3322 - Accuracy: 0.2500 - F1: 0.1714
sub_23:Test (Best Model) - Loss: 1.3284 - Accuracy: 0.2174 - F1: 0.1357
sub_24:Test (Best Model) - Loss: 1.3361 - Accuracy: 0.2794 - F1: 0.1885
sub_22:Test (Best Model) - Loss: 1.3278 - Accuracy: 0.2206 - F1: 0.1299
sub_24:Test (Best Model) - Loss: 1.3630 - Accuracy: 0.4265 - F1: 0.3024
sub_23:Test (Best Model) - Loss: 1.3262 - Accuracy: 0.3768 - F1: 0.2877
sub_22:Test (Best Model) - Loss: 1.3437 - Accuracy: 0.3088 - F1: 0.2321
sub_23:Test (Best Model) - Loss: 1.3596 - Accuracy: 0.3623 - F1: 0.2760
sub_24:Test (Best Model) - Loss: 1.3051 - Accuracy: 0.4265 - F1: 0.3633
sub_22:Test (Best Model) - Loss: 1.3567 - Accuracy: 0.2500 - F1: 0.1714
sub_23:Test (Best Model) - Loss: 1.3514 - Accuracy: 0.4058 - F1: 0.2753
sub_22:Test (Best Model) - Loss: 1.3394 - Accuracy: 0.3382 - F1: 0.2644
sub_24:Test (Best Model) - Loss: 1.2704 - Accuracy: 0.5000 - F1: 0.4198
sub_24:Test (Best Model) - Loss: 1.3583 - Accuracy: 0.3529 - F1: 0.3274
sub_24:Test (Best Model) - Loss: 1.2942 - Accuracy: 0.5588 - F1: 0.4926
sub_26:Test (Best Model) - Loss: 1.3349 - Accuracy: 0.2319 - F1: 0.1170
sub_27:Test (Best Model) - Loss: 1.3397 - Accuracy: 0.3188 - F1: 0.2501
sub_25:Test (Best Model) - Loss: 1.2985 - Accuracy: 0.5507 - F1: 0.5040
sub_26:Test (Best Model) - Loss: 1.3461 - Accuracy: 0.2174 - F1: 0.0893
sub_26:Test (Best Model) - Loss: 1.3502 - Accuracy: 0.2899 - F1: 0.1851
sub_25:Test (Best Model) - Loss: 1.3008 - Accuracy: 0.4638 - F1: 0.3310
sub_27:Test (Best Model) - Loss: 1.2710 - Accuracy: 0.3043 - F1: 0.2270
sub_26:Test (Best Model) - Loss: 1.3398 - Accuracy: 0.2464 - F1: 0.1370
sub_26:Test (Best Model) - Loss: 1.3458 - Accuracy: 0.2174 - F1: 0.1056
sub_25:Test (Best Model) - Loss: 1.2347 - Accuracy: 0.5942 - F1: 0.5493
sub_27:Test (Best Model) - Loss: 1.3387 - Accuracy: 0.3188 - F1: 0.2323
sub_26:Test (Best Model) - Loss: 1.3286 - Accuracy: 0.2059 - F1: 0.0854
sub_25:Test (Best Model) - Loss: 1.2484 - Accuracy: 0.5942 - F1: 0.5124
sub_27:Test (Best Model) - Loss: 1.3220 - Accuracy: 0.3188 - F1: 0.2650
sub_26:Test (Best Model) - Loss: 1.3358 - Accuracy: 0.2647 - F1: 0.1897
sub_26:Test (Best Model) - Loss: 1.3381 - Accuracy: 0.2206 - F1: 0.1138
sub_25:Test (Best Model) - Loss: 1.2443 - Accuracy: 0.5507 - F1: 0.4700
sub_27:Test (Best Model) - Loss: 1.3388 - Accuracy: 0.3043 - F1: 0.2282
sub_26:Test (Best Model) - Loss: 1.3446 - Accuracy: 0.1912 - F1: 0.0802
sub_25:Test (Best Model) - Loss: 1.2908 - Accuracy: 0.5294 - F1: 0.4691
sub_26:Test (Best Model) - Loss: 1.3166 - Accuracy: 0.4118 - F1: 0.2837
sub_27:Test (Best Model) - Loss: 1.2643 - Accuracy: 0.3478 - F1: 0.2571
sub_26:Test (Best Model) - Loss: 1.3740 - Accuracy: 0.2059 - F1: 0.0854
sub_25:Test (Best Model) - Loss: 1.2496 - Accuracy: 0.6471 - F1: 0.5684
sub_27:Test (Best Model) - Loss: 1.3456 - Accuracy: 0.3478 - F1: 0.2538
sub_26:Test (Best Model) - Loss: 1.3438 - Accuracy: 0.2059 - F1: 0.0854
sub_25:Test (Best Model) - Loss: 1.3083 - Accuracy: 0.7500 - F1: 0.7240
sub_26:Test (Best Model) - Loss: 1.3688 - Accuracy: 0.2794 - F1: 0.2009
sub_27:Test (Best Model) - Loss: 1.3497 - Accuracy: 0.4348 - F1: 0.3722
sub_26:Test (Best Model) - Loss: 1.3719 - Accuracy: 0.2059 - F1: 0.0854
sub_25:Test (Best Model) - Loss: 1.2934 - Accuracy: 0.4559 - F1: 0.3891
sub_27:Test (Best Model) - Loss: 1.3430 - Accuracy: 0.3333 - F1: 0.2545
sub_26:Test (Best Model) - Loss: 1.3708 - Accuracy: 0.2647 - F1: 0.1953
sub_25:Test (Best Model) - Loss: 1.3663 - Accuracy: 0.3235 - F1: 0.1950
sub_27:Test (Best Model) - Loss: 1.3538 - Accuracy: 0.3333 - F1: 0.2064
sub_27:Test (Best Model) - Loss: 1.3696 - Accuracy: 0.2059 - F1: 0.0854
sub_25:Test (Best Model) - Loss: 1.2739 - Accuracy: 0.4265 - F1: 0.2933
sub_27:Test (Best Model) - Loss: 1.3432 - Accuracy: 0.2794 - F1: 0.2081
sub_25:Test (Best Model) - Loss: 1.2494 - Accuracy: 0.7206 - F1: 0.6356
sub_27:Test (Best Model) - Loss: 1.3531 - Accuracy: 0.3824 - F1: 0.2733
sub_25:Test (Best Model) - Loss: 1.3290 - Accuracy: 0.4118 - F1: 0.2937
sub_27:Test (Best Model) - Loss: 1.3654 - Accuracy: 0.3824 - F1: 0.2837
sub_27:Test (Best Model) - Loss: 1.3624 - Accuracy: 0.4118 - F1: 0.2775
sub_25:Test (Best Model) - Loss: 1.3373 - Accuracy: 0.4265 - F1: 0.3238
sub_25:Test (Best Model) - Loss: 1.3487 - Accuracy: 0.4118 - F1: 0.3005
sub_29:Test (Best Model) - Loss: 1.3330 - Accuracy: 0.2206 - F1: 0.1127
sub_28:Test (Best Model) - Loss: 1.3523 - Accuracy: 0.2353 - F1: 0.1338
sub_29:Test (Best Model) - Loss: 1.3427 - Accuracy: 0.2059 - F1: 0.0854
sub_29:Test (Best Model) - Loss: 1.3214 - Accuracy: 0.3529 - F1: 0.2560
sub_28:Test (Best Model) - Loss: 1.3592 - Accuracy: 0.2059 - F1: 0.0854
sub_29:Test (Best Model) - Loss: 1.3368 - Accuracy: 0.2206 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 1.3508 - Accuracy: 0.2059 - F1: 0.1071
sub_28:Test (Best Model) - Loss: 1.3611 - Accuracy: 0.3824 - F1: 0.2629
sub_29:Test (Best Model) - Loss: 1.2982 - Accuracy: 0.2353 - F1: 0.1623
sub_29:Test (Best Model) - Loss: 1.3137 - Accuracy: 0.2647 - F1: 0.1875
sub_28:Test (Best Model) - Loss: 1.3775 - Accuracy: 0.2059 - F1: 0.0854
sub_29:Test (Best Model) - Loss: 1.3397 - Accuracy: 0.3382 - F1: 0.2408
sub_28:Test (Best Model) - Loss: 1.3652 - Accuracy: 0.2647 - F1: 0.1859
sub_29:Test (Best Model) - Loss: 1.3149 - Accuracy: 0.4559 - F1: 0.3144
sub_28:Test (Best Model) - Loss: 1.3704 - Accuracy: 0.3235 - F1: 0.2794
sub_29:Test (Best Model) - Loss: 1.3434 - Accuracy: 0.2059 - F1: 0.0854
sub_29:Test (Best Model) - Loss: 1.3622 - Accuracy: 0.3824 - F1: 0.2537
sub_28:Test (Best Model) - Loss: 1.3484 - Accuracy: 0.2647 - F1: 0.1854
sub_29:Test (Best Model) - Loss: 1.3532 - Accuracy: 0.2174 - F1: 0.0893
sub_28:Test (Best Model) - Loss: 1.3738 - Accuracy: 0.2059 - F1: 0.0875
sub_28:Test (Best Model) - Loss: 1.3745 - Accuracy: 0.2353 - F1: 0.1406
sub_29:Test (Best Model) - Loss: 1.3427 - Accuracy: 0.2319 - F1: 0.1167
sub_28:Test (Best Model) - Loss: 1.4036 - Accuracy: 0.2794 - F1: 0.1881
sub_29:Test (Best Model) - Loss: 1.3582 - Accuracy: 0.2899 - F1: 0.2279
sub_28:Test (Best Model) - Loss: 1.3609 - Accuracy: 0.2941 - F1: 0.1709
sub_29:Test (Best Model) - Loss: 1.3637 - Accuracy: 0.2174 - F1: 0.0893
sub_28:Test (Best Model) - Loss: 1.4064 - Accuracy: 0.3824 - F1: 0.2907
sub_29:Test (Best Model) - Loss: 1.3309 - Accuracy: 0.2174 - F1: 0.0893
sub_28:Test (Best Model) - Loss: 1.3792 - Accuracy: 0.2941 - F1: 0.2029
sub_28:Test (Best Model) - Loss: 1.3990 - Accuracy: 0.1765 - F1: 0.1292

=== Summary Results ===

acc: 33.14 ± 7.27
F1: 23.18 ± 7.51
acc-in: 43.33 ± 6.12
F1-in: 34.26 ± 6.53
runing time: 1908.74 seconds
