lr: 1e-05
sub_1:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_1:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_1:Test (Best Model) - Loss: 0.3444 - Accuracy: 0.5294 - F1: 0.4762
sub_1:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_1:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_1:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_1:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2353 - F1: 0.0952
sub_1:Test (Best Model) - Loss: 0.3386 - Accuracy: 0.3529 - F1: 0.3053
sub_1:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_1:Test (Best Model) - Loss: 0.3380 - Accuracy: 0.2353 - F1: 0.1111
sub_1:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_1:Test (Best Model) - Loss: 0.3418 - Accuracy: 0.4706 - F1: 0.4489
sub_1:Test (Best Model) - Loss: 0.3459 - Accuracy: 0.2941 - F1: 0.1389
sub_1:Test (Best Model) - Loss: 0.3446 - Accuracy: 0.4118 - F1: 0.2929
sub_1:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_2:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_2:Test (Best Model) - Loss: 0.3398 - Accuracy: 0.3529 - F1: 0.2808
sub_2:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2353 - F1: 0.0952
sub_2:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_2:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_2:Test (Best Model) - Loss: 0.3426 - Accuracy: 0.5294 - F1: 0.4194
sub_2:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_2:Test (Best Model) - Loss: 0.3440 - Accuracy: 0.5294 - F1: 0.4001
sub_2:Test (Best Model) - Loss: 0.3432 - Accuracy: 0.3529 - F1: 0.2756
sub_2:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_2:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_2:Test (Best Model) - Loss: 0.3409 - Accuracy: 0.2353 - F1: 0.1538
sub_2:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2353 - F1: 0.0952
sub_2:Test (Best Model) - Loss: 0.3396 - Accuracy: 0.4118 - F1: 0.2471
sub_2:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_3:Test (Best Model) - Loss: 0.3432 - Accuracy: 0.4706 - F1: 0.2971
sub_3:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_3:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1190
sub_3:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_3:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_3:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_3:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2353 - F1: 0.0952
sub_3:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2353 - F1: 0.0952
sub_3:Test (Best Model) - Loss: 0.3407 - Accuracy: 0.5294 - F1: 0.3381
sub_3:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_3:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_3:Test (Best Model) - Loss: 0.3405 - Accuracy: 0.5294 - F1: 0.3693
sub_3:Test (Best Model) - Loss: 0.3388 - Accuracy: 0.3529 - F1: 0.2777
sub_3:Test (Best Model) - Loss: 0.3411 - Accuracy: 0.2941 - F1: 0.1136
sub_3:Test (Best Model) - Loss: 0.3378 - Accuracy: 0.4118 - F1: 0.2917
sub_4:Test (Best Model) - Loss: 0.3382 - Accuracy: 0.4706 - F1: 0.3816
sub_4:Test (Best Model) - Loss: 0.3354 - Accuracy: 0.4706 - F1: 0.4286
sub_4:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.3312 - Accuracy: 0.5294 - F1: 0.4583
sub_4:Test (Best Model) - Loss: 0.3351 - Accuracy: 0.3529 - F1: 0.3448
sub_4:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.3287 - Accuracy: 0.7059 - F1: 0.7134
sub_4:Test (Best Model) - Loss: 0.3335 - Accuracy: 0.5882 - F1: 0.4062
sub_4:Test (Best Model) - Loss: 0.3373 - Accuracy: 0.4118 - F1: 0.3447
sub_4:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.3322 - Accuracy: 0.6471 - F1: 0.6287
sub_4:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_5:Test (Best Model) - Loss: 0.3457 - Accuracy: 0.2941 - F1: 0.1136
sub_5:Test (Best Model) - Loss: 0.3405 - Accuracy: 0.4118 - F1: 0.3611
sub_5:Test (Best Model) - Loss: 0.3444 - Accuracy: 0.4706 - F1: 0.4304
sub_5:Test (Best Model) - Loss: 0.3458 - Accuracy: 0.2941 - F1: 0.1136
sub_5:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_5:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_5:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_5:Test (Best Model) - Loss: 0.3403 - Accuracy: 0.6471 - F1: 0.6083
sub_5:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_5:Test (Best Model) - Loss: 0.3436 - Accuracy: 0.5882 - F1: 0.3709
sub_5:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_5:Test (Best Model) - Loss: 0.3454 - Accuracy: 0.2941 - F1: 0.1136
sub_5:Test (Best Model) - Loss: 0.3440 - Accuracy: 0.4706 - F1: 0.4096
sub_5:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_5:Test (Best Model) - Loss: 0.3355 - Accuracy: 0.4706 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.3426 - Accuracy: 0.2941 - F1: 0.2493
sub_6:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3459 - Accuracy: 0.2941 - F1: 0.1190
sub_6:Test (Best Model) - Loss: 0.3449 - Accuracy: 0.4118 - F1: 0.2566
sub_6:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3321 - Accuracy: 0.4706 - F1: 0.4038
sub_6:Test (Best Model) - Loss: 0.3373 - Accuracy: 0.4118 - F1: 0.4034
sub_6:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3399 - Accuracy: 0.3529 - F1: 0.2024
sub_6:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2353 - F1: 0.0952
sub_6:Test (Best Model) - Loss: 0.3403 - Accuracy: 0.3529 - F1: 0.2757
sub_6:Test (Best Model) - Loss: 0.3397 - Accuracy: 0.4706 - F1: 0.2971
sub_6:Test (Best Model) - Loss: 0.3395 - Accuracy: 0.4706 - F1: 0.3056
sub_7:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_7:Test (Best Model) - Loss: 0.3334 - Accuracy: 0.5882 - F1: 0.6243
sub_7:Test (Best Model) - Loss: 0.3461 - Accuracy: 0.1176 - F1: 0.0788
sub_7:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_7:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_7:Test (Best Model) - Loss: 0.3440 - Accuracy: 0.4118 - F1: 0.3286
sub_7:Test (Best Model) - Loss: 0.3436 - Accuracy: 0.2353 - F1: 0.1917
sub_7:Test (Best Model) - Loss: 0.3417 - Accuracy: 0.3529 - F1: 0.2361
sub_7:Test (Best Model) - Loss: 0.3449 - Accuracy: 0.2941 - F1: 0.2500
sub_7:Test (Best Model) - Loss: 0.3442 - Accuracy: 0.4706 - F1: 0.3616
sub_7:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_7:Test (Best Model) - Loss: 0.3456 - Accuracy: 0.5294 - F1: 0.4143
sub_7:Test (Best Model) - Loss: 0.3438 - Accuracy: 0.5882 - F1: 0.4715
sub_7:Test (Best Model) - Loss: 0.3453 - Accuracy: 0.4118 - F1: 0.2738
sub_7:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3438 - Accuracy: 0.5294 - F1: 0.5125
sub_8:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3293 - Accuracy: 0.7059 - F1: 0.6508
sub_8:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3456 - Accuracy: 0.2353 - F1: 0.1111
sub_8:Test (Best Model) - Loss: 0.3432 - Accuracy: 0.4706 - F1: 0.5179
sub_8:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_9:Test (Best Model) - Loss: 0.3452 - Accuracy: 0.2941 - F1: 0.1136
sub_9:Test (Best Model) - Loss: 0.3464 - 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: 0.3425 - Accuracy: 0.4118 - F1: 0.3563
sub_9:Test (Best Model) - Loss: 0.3445 - Accuracy: 0.4118 - F1: 0.2582
sub_9:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_9:Test (Best Model) - Loss: 0.3431 - Accuracy: 0.4706 - F1: 0.3663
sub_9:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_9:Test (Best Model) - Loss: 0.3438 - Accuracy: 0.6471 - F1: 0.5119
sub_9:Test (Best Model) - Loss: 0.3421 - Accuracy: 0.4706 - F1: 0.2971
sub_9:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_9:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_9:Test (Best Model) - Loss: 0.3458 - Accuracy: 0.1765 - F1: 0.0882
sub_9:Test (Best Model) - Loss: 0.3453 - Accuracy: 0.2941 - F1: 0.1316
sub_9:Test (Best Model) - Loss: 0.3436 - Accuracy: 0.2941 - F1: 0.1316
sub_10:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3454 - Accuracy: 0.1765 - F1: 0.1144
sub_10:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3397 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.3529 - F1: 0.3304
sub_11:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3393 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3408 - Accuracy: 0.3529 - F1: 0.2024
sub_11:Test (Best Model) - Loss: 0.3404 - Accuracy: 0.3529 - F1: 0.1941
sub_11:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3397 - Accuracy: 0.4118 - F1: 0.3205
sub_11:Test (Best Model) - Loss: 0.3394 - Accuracy: 0.4118 - F1: 0.3523
sub_11:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_12:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_12:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_12:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_12:Test (Best Model) - Loss: 0.3447 - Accuracy: 0.4706 - F1: 0.3176
sub_12:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_12:Test (Best Model) - Loss: 0.3377 - Accuracy: 0.4118 - F1: 0.3944
sub_12:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2353 - F1: 0.0952
sub_12:Test (Best Model) - Loss: 0.3365 - Accuracy: 0.4706 - F1: 0.4464
sub_12:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_12:Test (Best Model) - Loss: 0.3377 - Accuracy: 0.4706 - F1: 0.4149
sub_12:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_12:Test (Best Model) - Loss: 0.3427 - Accuracy: 0.4118 - F1: 0.3611
sub_12:Test (Best Model) - Loss: 0.3450 - Accuracy: 0.2353 - F1: 0.1000
sub_12:Test (Best Model) - Loss: 0.3452 - Accuracy: 0.4706 - F1: 0.2967
sub_12:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3457 - Accuracy: 0.2353 - F1: 0.1938
sub_13:Test (Best Model) - Loss: 0.3442 - Accuracy: 0.2353 - F1: 0.1176
sub_13:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3443 - Accuracy: 0.4706 - F1: 0.4594
sub_13:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.1765 - F1: 0.1121
sub_13:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2353 - F1: 0.0952
sub_13:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3459 - Accuracy: 0.1765 - F1: 0.0833
sub_13:Test (Best Model) - Loss: 0.3454 - Accuracy: 0.1765 - F1: 0.1701
sub_13:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3409 - Accuracy: 0.3529 - F1: 0.3864
sub_14:Test (Best Model) - Loss: 0.3424 - Accuracy: 0.4706 - F1: 0.4114
sub_14:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_14:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_14:Test (Best Model) - Loss: 0.3390 - Accuracy: 0.6471 - F1: 0.6530
sub_14:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_14:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_14:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2353 - F1: 0.0952
sub_14:Test (Best Model) - Loss: 0.3442 - Accuracy: 0.4118 - F1: 0.2695
sub_14:Test (Best Model) - Loss: 0.3440 - Accuracy: 0.4706 - F1: 0.2926
sub_14:Test (Best Model) - Loss: 0.3461 - Accuracy: 0.2941 - F1: 0.1136
sub_14:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_14:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_14:Test (Best Model) - Loss: 0.3350 - Accuracy: 0.4706 - F1: 0.4107
sub_14:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_14:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_15:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_15:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_15:Test (Best Model) - Loss: 0.3421 - Accuracy: 0.4706 - F1: 0.4048
sub_15:Test (Best Model) - Loss: 0.3427 - Accuracy: 0.5882 - F1: 0.5423
sub_15:Test (Best Model) - Loss: 0.3420 - Accuracy: 0.4118 - F1: 0.3333
sub_15:Test (Best Model) - Loss: 0.3423 - Accuracy: 0.4118 - F1: 0.2500
sub_15:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_15:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_15:Test (Best Model) - Loss: 0.3429 - Accuracy: 0.5294 - F1: 0.4080
sub_15:Test (Best Model) - Loss: 0.3374 - Accuracy: 0.5294 - F1: 0.4792
sub_15:Test (Best Model) - Loss: 0.3405 - Accuracy: 0.7059 - F1: 0.6058
sub_15:Test (Best Model) - Loss: 0.3452 - Accuracy: 0.2941 - F1: 0.1833
sub_15:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_15:Test (Best Model) - Loss: 0.3455 - Accuracy: 0.4118 - F1: 0.2566
sub_15:Test (Best Model) - Loss: 0.3424 - Accuracy: 0.5882 - F1: 0.4712
sub_16:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3448 - Accuracy: 0.5294 - F1: 0.4571
sub_16:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_17:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_17:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2353 - F1: 0.0952
sub_17:Test (Best Model) - Loss: 0.3391 - Accuracy: 0.3529 - F1: 0.3111
sub_17:Test (Best Model) - Loss: 0.3401 - Accuracy: 0.2941 - F1: 0.2265
sub_17:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_17:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_17:Test (Best Model) - Loss: 0.3403 - Accuracy: 0.2353 - F1: 0.1176
sub_17:Test (Best Model) - Loss: 0.3383 - Accuracy: 0.4118 - F1: 0.3571
sub_17:Test (Best Model) - Loss: 0.3385 - Accuracy: 0.4118 - F1: 0.4556
sub_17:Test (Best Model) - Loss: 0.3408 - Accuracy: 0.2353 - F1: 0.1053
sub_17:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_17:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_17:Test (Best Model) - Loss: 0.3420 - Accuracy: 0.4118 - F1: 0.3891
sub_17:Test (Best Model) - Loss: 0.3455 - Accuracy: 0.2353 - F1: 0.1111
sub_17:Test (Best Model) - Loss: 0.3343 - Accuracy: 0.4118 - F1: 0.3512
sub_18:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2353 - F1: 0.0952
sub_18:Test (Best Model) - Loss: 0.3383 - Accuracy: 0.3529 - F1: 0.3053
sub_18:Test (Best Model) - Loss: 0.3344 - Accuracy: 0.6471 - F1: 0.5938
sub_18:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3434 - Accuracy: 0.3529 - F1: 0.3176
sub_18:Test (Best Model) - Loss: 0.3404 - Accuracy: 0.4118 - F1: 0.4197
sub_18:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3427 - Accuracy: 0.3529 - F1: 0.3769
sub_18:Test (Best Model) - Loss: 0.3424 - Accuracy: 0.2941 - F1: 0.2361
sub_18:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3387 - Accuracy: 0.4706 - F1: 0.4103
sub_19:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_19:Test (Best Model) - Loss: 0.3457 - Accuracy: 0.1176 - F1: 0.0812
sub_19:Test (Best Model) - Loss: 0.3478 - Accuracy: 0.0588 - F1: 0.0312
sub_19:Test (Best Model) - Loss: 0.3450 - Accuracy: 0.1765 - F1: 0.1500
sub_19:Test (Best Model) - Loss: 0.3443 - Accuracy: 0.1765 - F1: 0.1458
sub_19:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_19:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_19:Test (Best Model) - Loss: 0.3460 - Accuracy: 0.3529 - F1: 0.2030
sub_19:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_19:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_19:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_19:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_19:Test (Best Model) - Loss: 0.3458 - Accuracy: 0.1765 - F1: 0.1242
sub_19:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_19:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_20:Test (Best Model) - Loss: 0.3419 - Accuracy: 0.5882 - F1: 0.5173
sub_20:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_20:Test (Best Model) - Loss: 0.3369 - Accuracy: 0.7059 - F1: 0.6923
sub_20:Test (Best Model) - Loss: 0.3433 - Accuracy: 0.5294 - F1: 0.4817
sub_20:Test (Best Model) - Loss: 0.3395 - Accuracy: 0.6471 - F1: 0.5566
sub_20:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_20:Test (Best Model) - Loss: 0.3440 - Accuracy: 0.4118 - F1: 0.4038
sub_20:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.4118 - F1: 0.3958
sub_20:Test (Best Model) - Loss: 0.3314 - Accuracy: 0.5882 - F1: 0.5134
sub_20:Test (Best Model) - Loss: 0.3417 - Accuracy: 0.4706 - F1: 0.3816
sub_20:Test (Best Model) - Loss: 0.3384 - Accuracy: 0.4706 - F1: 0.4613
sub_20:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2353 - F1: 0.0952
sub_20:Test (Best Model) - Loss: 0.3299 - Accuracy: 0.4706 - F1: 0.4826
sub_20:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_20:Test (Best Model) - Loss: 0.3178 - Accuracy: 0.6471 - F1: 0.5785
sub_21:Test (Best Model) - Loss: 0.3427 - Accuracy: 0.4118 - F1: 0.3165
sub_21:Test (Best Model) - Loss: 0.3449 - Accuracy: 0.2941 - F1: 0.1891
sub_21:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_21:Test (Best Model) - Loss: 0.3449 - Accuracy: 0.5294 - F1: 0.3333
sub_21:Test (Best Model) - Loss: 0.3406 - Accuracy: 0.5882 - F1: 0.4462
sub_21:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1190
sub_21:Test (Best Model) - Loss: 0.3428 - Accuracy: 0.4118 - F1: 0.2832
sub_21:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_21:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_21:Test (Best Model) - Loss: 0.3425 - Accuracy: 0.5882 - F1: 0.3750
sub_21:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_21:Test (Best Model) - Loss: 0.3444 - Accuracy: 0.3529 - F1: 0.1944
sub_21:Test (Best Model) - Loss: 0.3371 - Accuracy: 0.4118 - F1: 0.2792
sub_21:Test (Best Model) - Loss: 0.3428 - Accuracy: 0.4706 - F1: 0.3030
sub_21:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_22:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_22:Test (Best Model) - Loss: 0.3427 - Accuracy: 0.5294 - F1: 0.3452
sub_22:Test (Best Model) - Loss: 0.3455 - Accuracy: 0.2353 - F1: 0.1538
sub_22:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_22:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_22:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2941 - F1: 0.1136
sub_22:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2353 - F1: 0.0952
sub_22:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2353 - F1: 0.0952
sub_22:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_22:Test (Best Model) - Loss: 0.3368 - Accuracy: 0.4706 - F1: 0.4071
sub_22:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_22:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_22:Test (Best Model) - Loss: 0.3428 - Accuracy: 0.4706 - F1: 0.4989
sub_22:Test (Best Model) - Loss: 0.3460 - Accuracy: 0.4706 - F1: 0.2940
sub_22:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2353 - F1: 0.0952
sub_23:Test (Best Model) - Loss: 0.3355 - Accuracy: 0.4706 - F1: 0.4583
sub_23:Test (Best Model) - Loss: 0.3376 - Accuracy: 0.5294 - F1: 0.5476
sub_23:Test (Best Model) - Loss: 0.3380 - Accuracy: 0.4706 - F1: 0.4738
sub_23:Test (Best Model) - Loss: 0.3452 - Accuracy: 0.4706 - F1: 0.3095
sub_23:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3349 - Accuracy: 0.4118 - F1: 0.4048
sub_23:Test (Best Model) - Loss: 0.3389 - Accuracy: 0.4118 - F1: 0.4048
sub_23:Test (Best Model) - Loss: 0.3335 - Accuracy: 0.5294 - F1: 0.5185
sub_23:Test (Best Model) - Loss: 0.3360 - Accuracy: 0.4118 - F1: 0.3316
sub_24:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_24:Test (Best Model) - Loss: 0.3420 - Accuracy: 0.4118 - F1: 0.2692
sub_24:Test (Best Model) - Loss: 0.3448 - Accuracy: 0.1765 - F1: 0.1071
sub_24:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_24:Test (Best Model) - Loss: 0.3319 - Accuracy: 0.4118 - F1: 0.3056
sub_24:Test (Best Model) - Loss: 0.3444 - Accuracy: 0.5294 - F1: 0.3352
sub_24:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_24:Test (Best Model) - Loss: 0.3439 - Accuracy: 0.1765 - F1: 0.1213
sub_24:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_24:Test (Best Model) - Loss: 0.3450 - Accuracy: 0.3529 - F1: 0.1944
sub_24:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_24:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_24:Test (Best Model) - Loss: 0.3433 - Accuracy: 0.5294 - F1: 0.5227
sub_24:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_24:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_25:Test (Best Model) - Loss: 0.3370 - Accuracy: 0.5294 - F1: 0.4613
sub_25:Test (Best Model) - Loss: 0.3349 - Accuracy: 0.5294 - F1: 0.4583
sub_25:Test (Best Model) - Loss: 0.3398 - Accuracy: 0.5294 - F1: 0.4667
sub_25:Test (Best Model) - Loss: 0.3341 - Accuracy: 0.5294 - F1: 0.5292
sub_25:Test (Best Model) - Loss: 0.3388 - Accuracy: 0.4118 - F1: 0.2679
sub_25:Test (Best Model) - Loss: 0.3455 - Accuracy: 0.3529 - F1: 0.2024
sub_25:Test (Best Model) - Loss: 0.3441 - Accuracy: 0.5294 - F1: 0.4345
sub_25:Test (Best Model) - Loss: 0.3424 - Accuracy: 0.7059 - F1: 0.5859
sub_25:Test (Best Model) - Loss: 0.3444 - Accuracy: 0.3529 - F1: 0.1964
sub_25:Test (Best Model) - Loss: 0.3375 - Accuracy: 0.5294 - F1: 0.4583
sub_25:Test (Best Model) - Loss: 0.3444 - Accuracy: 0.4118 - F1: 0.3165
sub_25:Test (Best Model) - Loss: 0.3457 - Accuracy: 0.1765 - F1: 0.1484
sub_25:Test (Best Model) - Loss: 0.3447 - Accuracy: 0.2941 - F1: 0.2326
sub_25:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_25:Test (Best Model) - Loss: 0.3439 - Accuracy: 0.3529 - F1: 0.1941
sub_26:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_26:Test (Best Model) - Loss: 0.3381 - Accuracy: 0.6471 - F1: 0.5357
sub_26:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2353 - F1: 0.0952
sub_26:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_26:Test (Best Model) - Loss: 0.3363 - Accuracy: 0.6471 - F1: 0.5667
sub_26:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_26:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_26:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_26:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_26:Test (Best Model) - Loss: 0.3409 - Accuracy: 0.6471 - F1: 0.5785
sub_26:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_26:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_26:Test (Best Model) - Loss: 0.3441 - Accuracy: 0.2353 - F1: 0.1696
sub_26:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_26:Test (Best Model) - Loss: 0.3421 - Accuracy: 0.4706 - F1: 0.4148
sub_27:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2353 - F1: 0.0952
sub_27:Test (Best Model) - Loss: 0.3421 - Accuracy: 0.2353 - F1: 0.1667
sub_27:Test (Best Model) - Loss: 0.3412 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.3391 - Accuracy: 0.5882 - F1: 0.3709
sub_27:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.3405 - Accuracy: 0.1765 - F1: 0.1190
sub_27:Test (Best Model) - Loss: 0.3403 - Accuracy: 0.3529 - F1: 0.2603
sub_27:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2353 - F1: 0.2167
sub_27:Test (Best Model) - Loss: 0.3364 - Accuracy: 0.4706 - F1: 0.4238
sub_27:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.3430 - Accuracy: 0.6471 - F1: 0.4846
sub_27:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3457 - Accuracy: 0.2353 - F1: 0.1576
sub_28:Test (Best Model) - Loss: 0.3450 - Accuracy: 0.4118 - F1: 0.2500
sub_28:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3441 - Accuracy: 0.4118 - F1: 0.2676
sub_28:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3461 - Accuracy: 0.2353 - F1: 0.0952
sub_28:Test (Best Model) - Loss: 0.3486 - Accuracy: 0.2941 - F1: 0.1958
sub_28:Test (Best Model) - Loss: 0.3475 - Accuracy: 0.3529 - F1: 0.2566
sub_28:Test (Best Model) - Loss: 0.3453 - Accuracy: 0.2941 - F1: 0.1250
sub_28:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_28:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_28:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_29:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_29:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_29:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2353 - F1: 0.0952
sub_29:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_29:Test (Best Model) - Loss: 0.3401 - Accuracy: 0.4118 - F1: 0.3250
sub_29:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2941 - F1: 0.1136
sub_29:Test (Best Model) - Loss: 0.3411 - Accuracy: 0.4706 - F1: 0.4284
sub_29:Test (Best Model) - Loss: 0.3344 - Accuracy: 0.5294 - F1: 0.5278
sub_29:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.2941 - F1: 0.1136
sub_29:Test (Best Model) - Loss: 0.3461 - Accuracy: 0.2941 - F1: 0.1136
sub_29:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2941 - F1: 0.1136
sub_29:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.2353 - F1: 0.0952
sub_29:Test (Best Model) - Loss: 0.3352 - Accuracy: 0.3529 - F1: 0.3382
sub_29:Test (Best Model) - Loss: 0.3375 - Accuracy: 0.4706 - F1: 0.4683
sub_29:Test (Best Model) - Loss: 0.3325 - Accuracy: 0.4706 - F1: 0.3816

=== Summary Results ===

acc:   34.33 ± 4.83
F1:    21.29 ± 6.22
acc‑in:44.36 ± 6.49
F1‑in: 30.31 ± 8.37
