lr: 0.001
sub_1:Test (Best Model) - Loss: 0.2955 - Accuracy: 0.4118 - F1: 0.3316
sub_1:Test (Best Model) - Loss: 0.2984 - Accuracy: 0.4706 - F1: 0.3816
sub_1:Test (Best Model) - Loss: 0.3630 - Accuracy: 0.2353 - F1: 0.0952
sub_1:Test (Best Model) - Loss: 0.3477 - Accuracy: 0.2353 - F1: 0.0952
sub_1:Test (Best Model) - Loss: 0.3538 - Accuracy: 0.2941 - F1: 0.1136
sub_1:Test (Best Model) - Loss: 0.3403 - Accuracy: 0.3529 - F1: 0.2440
sub_1:Test (Best Model) - Loss: 0.2980 - Accuracy: 0.3529 - F1: 0.3053
sub_1:Test (Best Model) - Loss: 0.3106 - Accuracy: 0.4118 - F1: 0.3611
sub_1:Test (Best Model) - Loss: 0.3945 - Accuracy: 0.2353 - F1: 0.0952
sub_1:Test (Best Model) - Loss: 0.3256 - Accuracy: 0.3529 - F1: 0.2440
sub_1:Test (Best Model) - Loss: 0.3422 - Accuracy: 0.2941 - F1: 0.1136
sub_1:Test (Best Model) - Loss: 0.3446 - Accuracy: 0.2941 - F1: 0.1136
sub_1:Test (Best Model) - Loss: 0.3452 - Accuracy: 0.2353 - F1: 0.0952
sub_1:Test (Best Model) - Loss: 0.3451 - Accuracy: 0.2941 - F1: 0.1250
sub_1:Test (Best Model) - Loss: 0.3830 - Accuracy: 0.2353 - F1: 0.0952
sub_2:Test (Best Model) - Loss: 0.3410 - Accuracy: 0.2353 - F1: 0.0952
sub_2:Test (Best Model) - Loss: 0.3383 - Accuracy: 0.2353 - F1: 0.1053
sub_2:Test (Best Model) - Loss: 0.3430 - Accuracy: 0.2353 - F1: 0.0952
sub_2:Test (Best Model) - Loss: 0.3584 - Accuracy: 0.2353 - F1: 0.0952
sub_2:Test (Best Model) - Loss: 0.3925 - Accuracy: 0.2353 - F1: 0.0952
sub_2:Test (Best Model) - Loss: 0.3752 - Accuracy: 0.2941 - F1: 0.1136
sub_2:Test (Best Model) - Loss: 0.3477 - Accuracy: 0.2353 - F1: 0.0952
sub_2:Test (Best Model) - Loss: 0.3048 - Accuracy: 0.5294 - F1: 0.3452
sub_2:Test (Best Model) - Loss: 0.3490 - Accuracy: 0.2941 - F1: 0.1136
sub_2:Test (Best Model) - Loss: 0.3443 - Accuracy: 0.2941 - F1: 0.1136
sub_2:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.4118 - F1: 0.2582
sub_2:Test (Best Model) - Loss: 0.3250 - Accuracy: 0.2941 - F1: 0.1767
sub_2:Test (Best Model) - Loss: 0.3398 - Accuracy: 0.2353 - F1: 0.0952
sub_2:Test (Best Model) - Loss: 0.3498 - Accuracy: 0.2353 - F1: 0.0952
sub_2:Test (Best Model) - Loss: 0.3776 - Accuracy: 0.2353 - F1: 0.0952
sub_3:Test (Best Model) - Loss: 0.3843 - Accuracy: 0.2941 - F1: 0.1136
sub_3:Test (Best Model) - Loss: 0.3870 - Accuracy: 0.2353 - F1: 0.0952
sub_3:Test (Best Model) - Loss: 0.3483 - Accuracy: 0.2941 - F1: 0.1136
sub_3:Test (Best Model) - Loss: 0.3509 - Accuracy: 0.2941 - F1: 0.1136
sub_3:Test (Best Model) - Loss: 0.3531 - Accuracy: 0.2941 - F1: 0.1190
sub_3:Test (Best Model) - Loss: 0.3389 - Accuracy: 0.3529 - F1: 0.2062
sub_3:Test (Best Model) - Loss: 0.3501 - Accuracy: 0.2941 - F1: 0.1136
sub_3:Test (Best Model) - Loss: 0.3281 - Accuracy: 0.4118 - F1: 0.3143
sub_3:Test (Best Model) - Loss: 0.3289 - Accuracy: 0.2353 - F1: 0.1250
sub_3:Test (Best Model) - Loss: 0.3762 - Accuracy: 0.2353 - F1: 0.0952
sub_3:Test (Best Model) - Loss: 0.3373 - Accuracy: 0.2941 - F1: 0.1136
sub_3:Test (Best Model) - Loss: 0.3418 - Accuracy: 0.2353 - F1: 0.0952
sub_3:Test (Best Model) - Loss: 0.3406 - Accuracy: 0.2353 - F1: 0.0952
sub_3:Test (Best Model) - Loss: 0.3560 - Accuracy: 0.2353 - F1: 0.0952
sub_3:Test (Best Model) - Loss: 0.3655 - Accuracy: 0.2353 - F1: 0.0952
sub_4:Test (Best Model) - Loss: 0.3388 - Accuracy: 0.2353 - F1: 0.0952
sub_4:Test (Best Model) - Loss: 0.3193 - Accuracy: 0.4706 - F1: 0.3816
sub_4:Test (Best Model) - Loss: 0.3304 - Accuracy: 0.3529 - F1: 0.2242
sub_4:Test (Best Model) - Loss: 0.3375 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.3365 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.4026 - Accuracy: 0.2941 - F1: 0.1389
sub_4:Test (Best Model) - Loss: 0.3399 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.3641 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.4010 - Accuracy: 0.2353 - F1: 0.0952
sub_4:Test (Best Model) - Loss: 0.3533 - Accuracy: 0.2353 - F1: 0.0952
sub_4:Test (Best Model) - Loss: 0.2490 - Accuracy: 0.5294 - F1: 0.4038
sub_4:Test (Best Model) - Loss: 0.3319 - Accuracy: 0.2941 - F1: 0.2361
sub_4:Test (Best Model) - Loss: 0.2284 - Accuracy: 0.4706 - F1: 0.4404
sub_4:Test (Best Model) - Loss: 0.3353 - Accuracy: 0.4706 - F1: 0.4321
sub_4:Test (Best Model) - Loss: 0.3431 - Accuracy: 0.2353 - F1: 0.1635
sub_5:Test (Best Model) - Loss: 0.3447 - Accuracy: 0.2941 - F1: 0.1136
sub_5:Test (Best Model) - Loss: 0.3519 - Accuracy: 0.2941 - F1: 0.1316
sub_5:Test (Best Model) - Loss: 0.3488 - Accuracy: 0.2353 - F1: 0.0952
sub_5:Test (Best Model) - Loss: 0.3208 - Accuracy: 0.4118 - F1: 0.3250
sub_5:Test (Best Model) - Loss: 0.3810 - Accuracy: 0.2353 - F1: 0.0952
sub_5:Test (Best Model) - Loss: 0.3568 - Accuracy: 0.2941 - F1: 0.1136
sub_5:Test (Best Model) - Loss: 0.3588 - Accuracy: 0.2353 - F1: 0.0952
sub_5:Test (Best Model) - Loss: 0.3395 - Accuracy: 0.4706 - F1: 0.2926
sub_5:Test (Best Model) - Loss: 0.3615 - Accuracy: 0.2353 - F1: 0.0952
sub_5:Test (Best Model) - Loss: 0.3304 - Accuracy: 0.2353 - F1: 0.0952
sub_5:Test (Best Model) - Loss: 0.3987 - Accuracy: 0.2353 - F1: 0.1716
sub_5:Test (Best Model) - Loss: 0.3832 - Accuracy: 0.2353 - F1: 0.0952
sub_5:Test (Best Model) - Loss: 0.3719 - Accuracy: 0.2353 - F1: 0.0952
sub_5:Test (Best Model) - Loss: 0.3378 - Accuracy: 0.2941 - F1: 0.1833
sub_5:Test (Best Model) - Loss: 0.3442 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3736 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3531 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3769 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3720 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3433 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3567 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3402 - Accuracy: 0.2353 - F1: 0.0952
sub_6:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2353 - F1: 0.1111
sub_6:Test (Best Model) - Loss: 0.3709 - Accuracy: 0.2353 - F1: 0.0952
sub_6:Test (Best Model) - Loss: 0.3767 - Accuracy: 0.2353 - F1: 0.0952
sub_6:Test (Best Model) - Loss: 0.3549 - Accuracy: 0.2353 - F1: 0.0952
sub_6:Test (Best Model) - Loss: 0.3213 - Accuracy: 0.6471 - F1: 0.4846
sub_6:Test (Best Model) - Loss: 0.3094 - Accuracy: 0.4706 - F1: 0.3191
sub_6:Test (Best Model) - Loss: 0.3937 - Accuracy: 0.2353 - F1: 0.0952
sub_6:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1389
sub_7:Test (Best Model) - Loss: 0.3453 - Accuracy: 0.2353 - F1: 0.0952
sub_7:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_7:Test (Best Model) - Loss: 0.3421 - Accuracy: 0.2353 - F1: 0.0952
sub_7:Test (Best Model) - Loss: 0.4011 - Accuracy: 0.2353 - F1: 0.0952
sub_7:Test (Best Model) - Loss: 0.3659 - Accuracy: 0.2353 - F1: 0.0952
sub_7:Test (Best Model) - Loss: 0.3447 - Accuracy: 0.2941 - F1: 0.1136
sub_7:Test (Best Model) - Loss: 0.3494 - Accuracy: 0.2941 - F1: 0.1136
sub_7:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_7:Test (Best Model) - Loss: 0.3419 - Accuracy: 0.2353 - F1: 0.0952
sub_7:Test (Best Model) - Loss: 0.3519 - Accuracy: 0.1765 - F1: 0.0750
sub_7:Test (Best Model) - Loss: 0.3580 - Accuracy: 0.2941 - F1: 0.1136
sub_7:Test (Best Model) - Loss: 0.3448 - Accuracy: 0.4118 - F1: 0.2750
sub_7:Test (Best Model) - Loss: 0.3732 - Accuracy: 0.3529 - F1: 0.2435
sub_7:Test (Best Model) - Loss: 0.4258 - Accuracy: 0.2353 - F1: 0.0952
sub_7:Test (Best Model) - Loss: 0.3486 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3576 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3451 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3448 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.4139 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3537 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3457 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3469 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3457 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3439 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3837 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3429 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3459 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3457 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3407 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3529 - Accuracy: 0.2941 - F1: 0.1136
sub_9:Test (Best Model) - Loss: 0.3603 - Accuracy: 0.2941 - F1: 0.1136
sub_9:Test (Best Model) - Loss: 0.3476 - Accuracy: 0.2353 - F1: 0.0952
sub_9:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2353 - F1: 0.0952
sub_9:Test (Best Model) - Loss: 0.3433 - Accuracy: 0.3529 - F1: 0.2605
sub_9:Test (Best Model) - Loss: 0.3208 - Accuracy: 0.4706 - F1: 0.4149
sub_9:Test (Best Model) - Loss: 0.3538 - Accuracy: 0.2941 - F1: 0.1136
sub_9:Test (Best Model) - Loss: 0.3483 - Accuracy: 0.2353 - F1: 0.0952
sub_9:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_9:Test (Best Model) - Loss: 0.4052 - Accuracy: 0.2353 - F1: 0.0952
sub_9:Test (Best Model) - Loss: 0.3410 - Accuracy: 0.2941 - F1: 0.1471
sub_9:Test (Best Model) - Loss: 0.3502 - Accuracy: 0.3529 - F1: 0.1971
sub_9:Test (Best Model) - Loss: 0.3460 - Accuracy: 0.2353 - F1: 0.0952
sub_9:Test (Best Model) - Loss: 0.3460 - Accuracy: 0.2353 - F1: 0.0952
sub_9:Test (Best Model) - Loss: 0.3894 - Accuracy: 0.2353 - F1: 0.0952
sub_9:Test (Best Model) - Loss: 0.3878 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3475 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3442 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3459 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3444 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3437 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3598 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3454 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3443 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3827 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3482 - Accuracy: 0.2353 - F1: 0.1000
sub_10:Test (Best Model) - Loss: 0.3374 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3391 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3405 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3932 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3407 - Accuracy: 0.2353 - F1: 0.0952
sub_11:Test (Best Model) - Loss: 0.3420 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3394 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3395 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3780 - Accuracy: 0.2353 - F1: 0.0952
sub_11:Test (Best Model) - Loss: 0.3130 - Accuracy: 0.4706 - F1: 0.3816
sub_11:Test (Best Model) - Loss: 0.3427 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3516 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3442 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3223 - Accuracy: 0.4118 - F1: 0.3159
sub_11:Test (Best Model) - Loss: 0.3429 - Accuracy: 0.2941 - F1: 0.1891
sub_11:Test (Best Model) - Loss: 0.3602 - Accuracy: 0.2353 - F1: 0.0952
sub_11:Test (Best Model) - Loss: 0.3432 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3563 - Accuracy: 0.2353 - F1: 0.0952
sub_11:Test (Best Model) - Loss: 0.3441 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3530 - Accuracy: 0.2353 - F1: 0.0952
sub_12:Test (Best Model) - Loss: 0.3459 - Accuracy: 0.2353 - F1: 0.0952
sub_12:Test (Best Model) - Loss: 0.3540 - Accuracy: 0.2941 - F1: 0.1136
sub_12:Test (Best Model) - Loss: 0.3346 - Accuracy: 0.5294 - F1: 0.4667
sub_12:Test (Best Model) - Loss: 0.3529 - Accuracy: 0.2353 - F1: 0.0952
sub_12:Test (Best Model) - Loss: 0.3603 - Accuracy: 0.2353 - F1: 0.0952
sub_12:Test (Best Model) - Loss: 0.3570 - Accuracy: 0.4706 - F1: 0.3816
sub_12:Test (Best Model) - Loss: 0.3066 - Accuracy: 0.3529 - F1: 0.3053
sub_12:Test (Best Model) - Loss: 0.3594 - Accuracy: 0.4118 - F1: 0.3250
sub_12:Test (Best Model) - Loss: 0.3729 - Accuracy: 0.2353 - F1: 0.0952
sub_12:Test (Best Model) - Loss: 0.3651 - Accuracy: 0.2941 - F1: 0.1136
sub_12:Test (Best Model) - Loss: 0.3580 - Accuracy: 0.2353 - F1: 0.0952
sub_12:Test (Best Model) - Loss: 0.3337 - Accuracy: 0.3529 - F1: 0.3111
sub_12:Test (Best Model) - Loss: 0.3649 - Accuracy: 0.2353 - F1: 0.0952
sub_12:Test (Best Model) - Loss: 0.3864 - Accuracy: 0.2353 - F1: 0.0952
sub_12:Test (Best Model) - Loss: 0.3815 - Accuracy: 0.2353 - F1: 0.0952
sub_13:Test (Best Model) - Loss: 0.3458 - Accuracy: 0.2353 - F1: 0.0952
sub_13:Test (Best Model) - Loss: 0.3531 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3467 - Accuracy: 0.2353 - F1: 0.0952
sub_13:Test (Best Model) - Loss: 0.4054 - Accuracy: 0.2353 - F1: 0.0952
sub_13:Test (Best Model) - Loss: 0.3538 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3470 - Accuracy: 0.2353 - F1: 0.0952
sub_13:Test (Best Model) - Loss: 0.3424 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3400 - Accuracy: 0.2353 - F1: 0.0952
sub_13:Test (Best Model) - Loss: 0.3797 - Accuracy: 0.2353 - F1: 0.0952
sub_13:Test (Best Model) - Loss: 0.3658 - Accuracy: 0.2353 - F1: 0.0952
sub_13:Test (Best Model) - Loss: 0.3609 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3605 - Accuracy: 0.1765 - F1: 0.0833
sub_13:Test (Best Model) - Loss: 0.3430 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3901 - Accuracy: 0.2353 - F1: 0.0952
sub_13:Test (Best Model) - Loss: 0.3602 - Accuracy: 0.2353 - F1: 0.0952
sub_14:Test (Best Model) - Loss: 0.3571 - Accuracy: 0.2941 - F1: 0.1136
sub_14:Test (Best Model) - Loss: 0.3540 - Accuracy: 0.2941 - F1: 0.1136
sub_14:Test (Best Model) - Loss: 0.3459 - Accuracy: 0.2353 - F1: 0.0952
sub_14:Test (Best Model) - Loss: 0.3868 - Accuracy: 0.2353 - F1: 0.0952
sub_14:Test (Best Model) - Loss: 0.3552 - Accuracy: 0.2941 - F1: 0.1136
sub_14:Test (Best Model) - Loss: 0.3474 - Accuracy: 0.4706 - F1: 0.3036
sub_14:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2353 - F1: 0.0952
sub_14:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2353 - F1: 0.0952
sub_14:Test (Best Model) - Loss: 0.3826 - Accuracy: 0.2353 - F1: 0.0952
sub_14:Test (Best Model) - Loss: 0.3634 - Accuracy: 0.2941 - F1: 0.1136
sub_14:Test (Best Model) - Loss: 0.3436 - Accuracy: 0.2353 - F1: 0.0952
sub_14:Test (Best Model) - Loss: 0.3452 - Accuracy: 0.2353 - F1: 0.0952
sub_14:Test (Best Model) - Loss: 0.3450 - Accuracy: 0.2353 - F1: 0.0952
sub_14:Test (Best Model) - Loss: 0.4084 - Accuracy: 0.2353 - F1: 0.0952
sub_14:Test (Best Model) - Loss: 0.3710 - Accuracy: 0.2941 - F1: 0.1136
sub_15:Test (Best Model) - Loss: 0.3672 - Accuracy: 0.2941 - F1: 0.1136
sub_15:Test (Best Model) - Loss: 0.3475 - Accuracy: 0.2353 - F1: 0.0952
sub_15:Test (Best Model) - Loss: 0.3454 - Accuracy: 0.2353 - F1: 0.0952
sub_15:Test (Best Model) - Loss: 0.3474 - Accuracy: 0.2941 - F1: 0.1190
sub_15:Test (Best Model) - Loss: 0.3349 - Accuracy: 0.2941 - F1: 0.1136
sub_15:Test (Best Model) - Loss: 0.3189 - Accuracy: 0.4118 - F1: 0.3611
sub_15:Test (Best Model) - Loss: 0.3451 - Accuracy: 0.2941 - F1: 0.1136
sub_15:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2353 - F1: 0.0952
sub_15:Test (Best Model) - Loss: 0.4055 - Accuracy: 0.2353 - F1: 0.0952
sub_15:Test (Best Model) - Loss: 0.3799 - Accuracy: 0.2353 - F1: 0.0952
sub_15:Test (Best Model) - Loss: 0.3220 - Accuracy: 0.4118 - F1: 0.3611
sub_15:Test (Best Model) - Loss: 0.3461 - Accuracy: 0.2353 - F1: 0.0952
sub_15:Test (Best Model) - Loss: 0.2585 - Accuracy: 0.4706 - F1: 0.4500
sub_15:Test (Best Model) - Loss: 0.4008 - Accuracy: 0.2353 - F1: 0.0952
sub_15:Test (Best Model) - Loss: 0.3087 - Accuracy: 0.5882 - F1: 0.4970
sub_16:Test (Best Model) - Loss: 0.3576 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3456 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3477 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3547 - Accuracy: 0.5294 - F1: 0.3512
sub_16:Test (Best Model) - Loss: 0.3805 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3450 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3769 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3636 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3567 - Accuracy: 0.2941 - F1: 0.1736
sub_16:Test (Best Model) - Loss: 0.3455 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3442 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3456 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3480 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3756 - Accuracy: 0.2353 - F1: 0.0952
sub_17:Test (Best Model) - Loss: 0.3115 - Accuracy: 0.4118 - F1: 0.3605
sub_17:Test (Best Model) - Loss: 0.3405 - Accuracy: 0.2353 - F1: 0.0952
sub_17:Test (Best Model) - Loss: 0.3403 - Accuracy: 0.2353 - F1: 0.0952
sub_17:Test (Best Model) - Loss: 0.4221 - Accuracy: 0.2353 - F1: 0.0952
sub_17:Test (Best Model) - Loss: 0.3791 - Accuracy: 0.2353 - F1: 0.0952
sub_17:Test (Best Model) - Loss: 0.3407 - Accuracy: 0.2353 - F1: 0.0952
sub_17:Test (Best Model) - Loss: 0.3403 - Accuracy: 0.2353 - F1: 0.0952
sub_17:Test (Best Model) - Loss: 0.3397 - Accuracy: 0.4706 - F1: 0.3399
sub_17:Test (Best Model) - Loss: 0.3094 - Accuracy: 0.4118 - F1: 0.4056
sub_17:Test (Best Model) - Loss: 0.3650 - Accuracy: 0.2941 - F1: 0.1136
sub_17:Test (Best Model) - Loss: 0.3624 - Accuracy: 0.2941 - F1: 0.1136
sub_17:Test (Best Model) - Loss: 0.3448 - Accuracy: 0.2941 - F1: 0.1136
sub_17:Test (Best Model) - Loss: 0.3439 - Accuracy: 0.2941 - F1: 0.1136
sub_17:Test (Best Model) - Loss: 0.3916 - Accuracy: 0.2353 - F1: 0.0952
sub_17:Test (Best Model) - Loss: 0.3496 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3500 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.2325 - Accuracy: 0.4118 - F1: 0.3611
sub_18:Test (Best Model) - Loss: 0.3248 - Accuracy: 0.4706 - F1: 0.3816
sub_18:Test (Best Model) - Loss: 0.3819 - Accuracy: 0.2353 - F1: 0.0952
sub_18:Test (Best Model) - Loss: 0.3376 - Accuracy: 0.3529 - F1: 0.1941
sub_18:Test (Best Model) - Loss: 0.3517 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3500 - Accuracy: 0.2353 - F1: 0.0952
sub_18:Test (Best Model) - Loss: 0.3338 - Accuracy: 0.3529 - F1: 0.3053
sub_18:Test (Best Model) - Loss: 0.3356 - Accuracy: 0.4118 - F1: 0.3250
sub_18:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3431 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3210 - Accuracy: 0.3529 - F1: 0.3025
sub_18:Test (Best Model) - Loss: 0.3493 - Accuracy: 0.4706 - F1: 0.3167
sub_18:Test (Best Model) - Loss: 0.3454 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3776 - Accuracy: 0.2353 - F1: 0.0952
sub_19:Test (Best Model) - Loss: 0.4958 - Accuracy: 0.2353 - F1: 0.1588
sub_19:Test (Best Model) - Loss: 0.7803 - Accuracy: 0.0000 - F1: 0.0000
sub_19:Test (Best Model) - Loss: 0.3445 - Accuracy: 0.2941 - F1: 0.1190
sub_19:Test (Best Model) - Loss: 0.3750 - Accuracy: 0.2941 - F1: 0.1833
sub_19:Test (Best Model) - Loss: 0.3517 - Accuracy: 0.2941 - F1: 0.1833
sub_19:Test (Best Model) - Loss: 0.3650 - Accuracy: 0.2941 - F1: 0.1136
sub_19:Test (Best Model) - Loss: 0.3346 - Accuracy: 0.2353 - F1: 0.1000
sub_19:Test (Best Model) - Loss: 0.3526 - Accuracy: 0.2941 - F1: 0.1136
sub_19:Test (Best Model) - Loss: 0.3917 - Accuracy: 0.2353 - F1: 0.0952
sub_19:Test (Best Model) - Loss: 0.2899 - Accuracy: 0.4706 - F1: 0.4375
sub_19:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2353 - F1: 0.0952
sub_19:Test (Best Model) - Loss: 0.3440 - Accuracy: 0.2941 - F1: 0.2321
sub_19:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_19:Test (Best Model) - Loss: 0.4056 - Accuracy: 0.2353 - F1: 0.0952
sub_19:Test (Best Model) - Loss: 0.3535 - Accuracy: 0.3529 - F1: 0.2190
sub_20:Test (Best Model) - Loss: 0.3567 - Accuracy: 0.4706 - F1: 0.3167
sub_20:Test (Best Model) - Loss: 0.3456 - Accuracy: 0.2353 - F1: 0.0952
sub_20:Test (Best Model) - Loss: 0.3643 - Accuracy: 0.1765 - F1: 0.0750
sub_20:Test (Best Model) - Loss: 0.3540 - Accuracy: 0.2941 - F1: 0.1136
sub_20:Test (Best Model) - Loss: 0.3118 - Accuracy: 0.4706 - F1: 0.3538
sub_20:Test (Best Model) - Loss: 0.3458 - Accuracy: 0.2941 - F1: 0.1136
sub_20:Test (Best Model) - Loss: 0.3442 - Accuracy: 0.2353 - F1: 0.0952
sub_20:Test (Best Model) - Loss: 0.3597 - Accuracy: 0.3529 - F1: 0.2440
sub_20:Test (Best Model) - Loss: 0.3615 - Accuracy: 0.2353 - F1: 0.0952
sub_20:Test (Best Model) - Loss: 0.3008 - Accuracy: 0.4118 - F1: 0.3611
sub_20:Test (Best Model) - Loss: 0.3021 - Accuracy: 0.4118 - F1: 0.2938
sub_20:Test (Best Model) - Loss: 0.3355 - Accuracy: 0.2941 - F1: 0.1190
sub_20:Test (Best Model) - Loss: 0.3408 - Accuracy: 0.2353 - F1: 0.0952
sub_20:Test (Best Model) - Loss: 0.4050 - Accuracy: 0.2353 - F1: 0.0952
sub_20:Test (Best Model) - Loss: 0.2842 - Accuracy: 0.4118 - F1: 0.3250
sub_21:Test (Best Model) - Loss: 0.3572 - Accuracy: 0.2353 - F1: 0.0952
sub_21:Test (Best Model) - Loss: 0.3459 - Accuracy: 0.2353 - F1: 0.0952
sub_21:Test (Best Model) - Loss: 0.3467 - Accuracy: 0.2353 - F1: 0.0952
sub_21:Test (Best Model) - Loss: 0.3901 - Accuracy: 0.2353 - F1: 0.0952
sub_21:Test (Best Model) - Loss: 0.3283 - Accuracy: 0.4706 - F1: 0.3929
sub_21:Test (Best Model) - Loss: 0.3313 - Accuracy: 0.5294 - F1: 0.4072
sub_21:Test (Best Model) - Loss: 0.3515 - Accuracy: 0.2941 - F1: 0.1136
sub_21:Test (Best Model) - Loss: 0.3563 - Accuracy: 0.3529 - F1: 0.2440
sub_21:Test (Best Model) - Loss: 0.3453 - Accuracy: 0.2941 - F1: 0.1136
sub_21:Test (Best Model) - Loss: 0.3431 - Accuracy: 0.2941 - F1: 0.1136
sub_21:Test (Best Model) - Loss: 0.3424 - Accuracy: 0.2941 - F1: 0.1136
sub_21:Test (Best Model) - Loss: 0.3458 - Accuracy: 0.2353 - F1: 0.0952
sub_21:Test (Best Model) - Loss: 0.3459 - Accuracy: 0.2353 - F1: 0.0952
sub_21:Test (Best Model) - Loss: 0.4224 - Accuracy: 0.2353 - F1: 0.0952
sub_21:Test (Best Model) - Loss: 0.3427 - Accuracy: 0.2941 - F1: 0.1136
sub_22:Test (Best Model) - Loss: 0.3535 - Accuracy: 0.2353 - F1: 0.0952
sub_22:Test (Best Model) - Loss: 0.3574 - Accuracy: 0.2941 - F1: 0.1136
sub_22:Test (Best Model) - Loss: 0.3445 - Accuracy: 0.2353 - F1: 0.0952
sub_22:Test (Best Model) - Loss: 0.3574 - Accuracy: 0.2941 - F1: 0.1136
sub_22:Test (Best Model) - Loss: 0.3780 - Accuracy: 0.2353 - F1: 0.0952
sub_22:Test (Best Model) - Loss: 0.3529 - Accuracy: 0.2941 - F1: 0.1136
sub_22:Test (Best Model) - Loss: 0.3404 - Accuracy: 0.2353 - F1: 0.0952
sub_22:Test (Best Model) - Loss: 0.2783 - Accuracy: 0.4706 - F1: 0.4476
sub_22:Test (Best Model) - Loss: 0.3782 - Accuracy: 0.2353 - F1: 0.0952
sub_22:Test (Best Model) - Loss: 0.3779 - Accuracy: 0.2941 - F1: 0.2071
sub_22:Test (Best Model) - Loss: 0.3445 - Accuracy: 0.4706 - F1: 0.2917
sub_22:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_22:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_22:Test (Best Model) - Loss: 0.4028 - Accuracy: 0.2353 - F1: 0.0952
sub_22:Test (Best Model) - Loss: 0.3685 - Accuracy: 0.2353 - F1: 0.1493
sub_23:Test (Best Model) - Loss: 0.3500 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3403 - Accuracy: 0.2353 - F1: 0.0952
sub_23:Test (Best Model) - Loss: 0.3401 - Accuracy: 0.2353 - F1: 0.0952
sub_23:Test (Best Model) - Loss: 0.4383 - Accuracy: 0.2353 - F1: 0.0952
sub_23:Test (Best Model) - Loss: 0.3074 - Accuracy: 0.4118 - F1: 0.3316
sub_23:Test (Best Model) - Loss: 0.3971 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3494 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3536 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3490 - Accuracy: 0.2353 - F1: 0.0952
sub_23:Test (Best Model) - Loss: 0.3524 - Accuracy: 0.2353 - F1: 0.0952
sub_23:Test (Best Model) - Loss: 0.3703 - Accuracy: 0.2353 - F1: 0.0952
sub_23:Test (Best Model) - Loss: 0.3411 - Accuracy: 0.2353 - F1: 0.0952
sub_23:Test (Best Model) - Loss: 0.2649 - Accuracy: 0.4118 - F1: 0.3319
sub_23:Test (Best Model) - Loss: 0.3484 - Accuracy: 0.1765 - F1: 0.1313
sub_23:Test (Best Model) - Loss: 0.3371 - Accuracy: 0.2941 - F1: 0.1136
sub_24:Test (Best Model) - Loss: 0.3468 - Accuracy: 0.2941 - F1: 0.1136
sub_24:Test (Best Model) - Loss: 0.3472 - Accuracy: 0.2353 - F1: 0.0952
sub_24:Test (Best Model) - Loss: 0.3439 - Accuracy: 0.2941 - F1: 0.2520
sub_24:Test (Best Model) - Loss: 0.3984 - Accuracy: 0.2353 - F1: 0.0952
sub_24:Test (Best Model) - Loss: 0.3243 - Accuracy: 0.2941 - F1: 0.2083
sub_24:Test (Best Model) - Loss: 0.3453 - Accuracy: 0.2353 - F1: 0.0952
sub_24:Test (Best Model) - Loss: 0.3493 - Accuracy: 0.2353 - F1: 0.0952
sub_24:Test (Best Model) - Loss: 0.3444 - Accuracy: 0.2353 - F1: 0.0952
sub_24:Test (Best Model) - Loss: 0.4079 - Accuracy: 0.2353 - F1: 0.0952
sub_24:Test (Best Model) - Loss: 0.3458 - Accuracy: 0.3529 - F1: 0.2121
sub_24:Test (Best Model) - Loss: 0.3545 - Accuracy: 0.2941 - F1: 0.1981
sub_24:Test (Best Model) - Loss: 0.3474 - Accuracy: 0.2353 - F1: 0.0952
sub_24:Test (Best Model) - Loss: 0.3450 - Accuracy: 0.2353 - F1: 0.0952
sub_24:Test (Best Model) - Loss: 0.3956 - Accuracy: 0.2353 - F1: 0.0952
sub_24:Test (Best Model) - Loss: 0.3574 - Accuracy: 0.2941 - F1: 0.1136
sub_25:Test (Best Model) - Loss: 0.3576 - Accuracy: 0.2353 - F1: 0.0952
sub_25:Test (Best Model) - Loss: 0.3835 - Accuracy: 0.2353 - F1: 0.1250
sub_25:Test (Best Model) - Loss: 0.3508 - Accuracy: 0.2941 - F1: 0.1136
sub_25:Test (Best Model) - Loss: 0.2913 - Accuracy: 0.4118 - F1: 0.2674
sub_25:Test (Best Model) - Loss: 0.3346 - Accuracy: 0.3529 - F1: 0.2242
sub_25:Test (Best Model) - Loss: 0.3308 - Accuracy: 0.4706 - F1: 0.3068
sub_25:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_25:Test (Best Model) - Loss: 0.3482 - Accuracy: 0.2353 - F1: 0.0952
sub_25:Test (Best Model) - Loss: 0.2974 - Accuracy: 0.4706 - F1: 0.3695
sub_25:Test (Best Model) - Loss: 0.3209 - Accuracy: 0.2941 - F1: 0.1389
sub_25:Test (Best Model) - Loss: 0.3411 - Accuracy: 0.2941 - F1: 0.1136
sub_25:Test (Best Model) - Loss: 0.3497 - Accuracy: 0.2941 - F1: 0.1136
sub_25:Test (Best Model) - Loss: 0.3326 - Accuracy: 0.2941 - F1: 0.1732
sub_25:Test (Best Model) - Loss: 0.3937 - Accuracy: 0.2353 - F1: 0.0952
sub_25:Test (Best Model) - Loss: 0.3886 - Accuracy: 0.2353 - F1: 0.0952
sub_26:Test (Best Model) - Loss: 0.3479 - Accuracy: 0.2353 - F1: 0.0952
sub_26:Test (Best Model) - Loss: 0.3344 - Accuracy: 0.3529 - F1: 0.2103
sub_26:Test (Best Model) - Loss: 0.3458 - Accuracy: 0.2941 - F1: 0.1136
sub_26:Test (Best Model) - Loss: 0.4013 - Accuracy: 0.2353 - F1: 0.0952
sub_26:Test (Best Model) - Loss: 0.3531 - Accuracy: 0.2941 - F1: 0.1136
sub_26:Test (Best Model) - Loss: 0.2789 - Accuracy: 0.4118 - F1: 0.3611
sub_26:Test (Best Model) - Loss: 0.3589 - Accuracy: 0.2941 - F1: 0.1136
sub_26:Test (Best Model) - Loss: 0.3683 - Accuracy: 0.2941 - F1: 0.1136
sub_26:Test (Best Model) - Loss: 0.3488 - Accuracy: 0.2353 - F1: 0.0952
sub_26:Test (Best Model) - Loss: 0.2856 - Accuracy: 0.4706 - F1: 0.3167
sub_26:Test (Best Model) - Loss: 0.3448 - Accuracy: 0.2353 - F1: 0.0952
sub_26:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2353 - F1: 0.0952
sub_26:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_26:Test (Best Model) - Loss: 0.4107 - Accuracy: 0.2353 - F1: 0.0952
sub_26:Test (Best Model) - Loss: 0.3457 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.3416 - Accuracy: 0.2353 - F1: 0.0952
sub_27:Test (Best Model) - Loss: 0.3502 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.3482 - Accuracy: 0.2941 - F1: 0.1250
sub_27:Test (Best Model) - Loss: 0.3419 - Accuracy: 0.2353 - F1: 0.1562
sub_27:Test (Best Model) - Loss: 0.3750 - Accuracy: 0.2353 - F1: 0.0952
sub_27:Test (Best Model) - Loss: 0.3418 - Accuracy: 0.2353 - F1: 0.0952
sub_27:Test (Best Model) - Loss: 0.3336 - Accuracy: 0.2353 - F1: 0.1635
sub_27:Test (Best Model) - Loss: 0.3410 - Accuracy: 0.2353 - F1: 0.0952
sub_27:Test (Best Model) - Loss: 0.3757 - Accuracy: 0.2353 - F1: 0.0952
sub_27:Test (Best Model) - Loss: 0.3497 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2353 - F1: 0.0952
sub_27:Test (Best Model) - Loss: 0.3472 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.2911 - Accuracy: 0.4118 - F1: 0.3205
sub_27:Test (Best Model) - Loss: 0.3845 - Accuracy: 0.4118 - F1: 0.2902
sub_27:Test (Best Model) - Loss: 0.3501 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3555 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3456 - Accuracy: 0.2353 - F1: 0.0952
sub_28:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_28:Test (Best Model) - Loss: 0.4101 - Accuracy: 0.2353 - F1: 0.0952
sub_28:Test (Best Model) - Loss: 0.3575 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3639 - Accuracy: 0.4118 - F1: 0.2697
sub_28:Test (Best Model) - Loss: 0.3442 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3470 - Accuracy: 0.2353 - F1: 0.0952
sub_28:Test (Best Model) - Loss: 0.3599 - Accuracy: 0.3529 - F1: 0.2566
sub_28:Test (Best Model) - Loss: 0.3695 - Accuracy: 0.2353 - F1: 0.0952
sub_28:Test (Best Model) - Loss: 0.3404 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3692 - Accuracy: 0.2353 - F1: 0.0952
sub_28:Test (Best Model) - Loss: 0.3460 - Accuracy: 0.2353 - F1: 0.0952
sub_28:Test (Best Model) - Loss: 0.3456 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3886 - Accuracy: 0.2353 - F1: 0.0952
sub_29:Test (Best Model) - Loss: 0.3094 - Accuracy: 0.4118 - F1: 0.3611
sub_29:Test (Best Model) - Loss: 0.3222 - Accuracy: 0.4118 - F1: 0.3611
sub_29:Test (Best Model) - Loss: 0.3031 - Accuracy: 0.4706 - F1: 0.3816
sub_29:Test (Best Model) - Loss: 0.3486 - Accuracy: 0.2941 - F1: 0.1136
sub_29:Test (Best Model) - Loss: 0.3429 - Accuracy: 0.2941 - F1: 0.1136
sub_29:Test (Best Model) - Loss: 0.3573 - Accuracy: 0.4706 - F1: 0.3532
sub_29:Test (Best Model) - Loss: 0.3553 - Accuracy: 0.2941 - F1: 0.1136
sub_29:Test (Best Model) - Loss: 0.2704 - Accuracy: 0.4706 - F1: 0.3816
sub_29:Test (Best Model) - Loss: 0.3597 - Accuracy: 0.2353 - F1: 0.0952
sub_29:Test (Best Model) - Loss: 0.3537 - Accuracy: 0.2353 - F1: 0.0952
sub_29:Test (Best Model) - Loss: 0.3499 - Accuracy: 0.2353 - F1: 0.0952
sub_29:Test (Best Model) - Loss: 0.3166 - Accuracy: 0.4706 - F1: 0.3816
sub_29:Test (Best Model) - Loss: 0.2441 - Accuracy: 0.4706 - F1: 0.4510
sub_29:Test (Best Model) - Loss: 0.3604 - Accuracy: 0.2353 - F1: 0.0952
sub_29:Test (Best Model) - Loss: 0.3490 - Accuracy: 0.2353 - F1: 0.0952

=== Summary Results ===

acc:   28.97 ± 2.43
F1:    14.91 ± 3.27
acc‑in:34.57 ± 2.79
F1‑in: 17.74 ± 4.03
