lr: 1e-06
sub_1:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_1:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_1:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_1:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_1:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_1:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_1:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_1:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_1:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_1:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_1:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_1:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.4706 - F1: 0.3250
sub_1:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_1:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_1:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_2:Test (Best Model) - Loss: 0.3416 - Accuracy: 0.2353 - F1: 0.0952
sub_2:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_2:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_2:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2941 - F1: 0.1667
sub_2:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_2:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_2:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_2:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.1765 - F1: 0.1313
sub_2:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.5882 - F1: 0.3709
sub_2:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_2:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_2:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.4706 - F1: 0.3056
sub_2:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_2:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.3529 - F1: 0.2159
sub_2:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1736
sub_3:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_3:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.1625
sub_3:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_3:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_3:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_3:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_3:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_3:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_3:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.4706 - F1: 0.3056
sub_3:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_3:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_3:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_3:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.4118 - F1: 0.2986
sub_3:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.1438
sub_3:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_4:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_4:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_4:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_4:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.3529 - F1: 0.1944
sub_4:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.1548
sub_4:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_4:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.5294 - F1: 0.3352
sub_4:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_5:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.1765 - F1: 0.1144
sub_5:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.1488
sub_5:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_5:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.2353 - F1: 0.1504
sub_5:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_5:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_5:Test (Best Model) - Loss: 0.3465 - 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: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_5:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_5:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_5:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_5:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_5:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_5:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.3529 - F1: 0.1964
sub_6:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_6:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.1765 - F1: 0.1455
sub_6:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.3529 - F1: 0.2190
sub_6:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.1765 - F1: 0.0750
sub_6:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.1053
sub_6:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_6:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_6:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.1176
sub_6:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2941 - F1: 0.2048
sub_6:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_7:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.1765 - F1: 0.0750
sub_7:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_7:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.1765 - F1: 0.0789
sub_7:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_7:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_7:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_7:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.0588 - F1: 0.0357
sub_7:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_7:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.3529 - F1: 0.1964
sub_7:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_7:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_7:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1190
sub_7:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_7:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.4118 - F1: 0.2566
sub_7:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.3529 - F1: 0.2361
sub_8:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.3529 - F1: 0.2190
sub_8:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1471
sub_8:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_8:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_8:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.4118 - F1: 0.2500
sub_8:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_9:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1833
sub_9:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_9:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_9:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.1765 - F1: 0.1190
sub_9:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.1765 - F1: 0.0789
sub_9:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1833
sub_9:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.1458
sub_9:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1833
sub_9:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_9:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.4706 - F1: 0.2971
sub_9:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1833
sub_9:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_9:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_9:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1471
sub_9:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.2083
sub_10:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1190
sub_10:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.1765 - F1: 0.1144
sub_10:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1750
sub_10:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_10:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.3529 - F1: 0.2030
sub_11:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_11:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.1176 - F1: 0.0769
sub_11:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_11:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.3529 - F1: 0.1964
sub_11:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_11:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_11:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2941 - F1: 0.1190
sub_11:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_12:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_12:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_12:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_12:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.3529 - F1: 0.2024
sub_12:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_12:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_12:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_12:Test (Best Model) - Loss: 0.3416 - Accuracy: 0.2353 - F1: 0.0952
sub_12:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_12:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_12:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_12:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_12:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.1576
sub_12:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.3529 - F1: 0.1941
sub_12:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1767
sub_13:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_13:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.1437
sub_13:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.4118 - F1: 0.2500
sub_13:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.1765 - F1: 0.1154
sub_13:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.1053
sub_13:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_13:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_13:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_13:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_13:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_14:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.1765 - F1: 0.0750
sub_14:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_14:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1190
sub_14:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.4118 - F1: 0.2667
sub_14:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_14:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_14:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.1438
sub_14:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.1765 - F1: 0.1071
sub_14:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.3529 - F1: 0.2250
sub_14:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_14:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1993
sub_14:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_14:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_14:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.4118 - F1: 0.2500
sub_14:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.3529 - F1: 0.2083
sub_15:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.1000
sub_15:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_15:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_15:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.4706 - F1: 0.2917
sub_15:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_15:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.3529 - F1: 0.2190
sub_15:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_15:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_15:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.3529 - F1: 0.1964
sub_15:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_15:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_15:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_15:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_15:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.3529 - F1: 0.2167
sub_15:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1767
sub_16:Test (Best Model) - Loss: 0.3466 - 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: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.4706 - F1: 0.3176
sub_16:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_16:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_16:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_17:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.3529 - F1: 0.2083
sub_17:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_17:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.3529 - F1: 0.2364
sub_17:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.4118 - F1: 0.2472
sub_17:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_17:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_17:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.3529 - F1: 0.2481
sub_17:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_17:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.4706 - F1: 0.3459
sub_17:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2941 - F1: 0.1136
sub_17:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_17:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_17:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.4118 - F1: 0.2917
sub_17:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1847
sub_17:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.1765 - F1: 0.0750
sub_18:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_18:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_18:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.1111
sub_18:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_18:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.3529 - F1: 0.2014
sub_18:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.3529 - F1: 0.2308
sub_18:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.4118 - F1: 0.2500
sub_18:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_19:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_19:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_19:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_19:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.3529 - F1: 0.2017
sub_19:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_19:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_19:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.1437
sub_19:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.1765 - F1: 0.1125
sub_19:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_19:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.4118 - F1: 0.2750
sub_19:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1732
sub_19:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1250
sub_19:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_19:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.1576
sub_19:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_20:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_20:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_20:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_20:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_20:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_20:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.3529 - F1: 0.2250
sub_20:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_20:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.1765 - F1: 0.1131
sub_20:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1316
sub_20:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_20:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.4118 - F1: 0.2692
sub_20:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_20:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2941 - F1: 0.1767
sub_20:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_20:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1667
sub_21:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_21:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.1000
sub_21:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_21:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.6471 - F1: 0.5256
sub_21:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_21:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_21:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.0952
sub_21:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.1176 - F1: 0.0788
sub_21:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_21:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_21:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_21:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1767
sub_21:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.1000
sub_21:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.1548
sub_21:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_22:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.1765 - F1: 0.0833
sub_22:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.4118 - F1: 0.2986
sub_22:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_22:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.3529 - F1: 0.1964
sub_22:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_22:Test (Best Model) - Loss: 0.3416 - Accuracy: 0.2353 - F1: 0.0952
sub_22:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_22:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_22:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_22:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_22:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_22:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_22:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_22:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.4118 - F1: 0.2471
sub_22:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_23:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2353 - F1: 0.1176
sub_23:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.1458
sub_23:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.4118 - F1: 0.2667
sub_23:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_23:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.1504
sub_23:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.2941 - F1: 0.1136
sub_23:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_24:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_24:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_24:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_24:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_24:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_24:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.3529 - F1: 0.2083
sub_24:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_24:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_24:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_24:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_24:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.3529 - F1: 0.2083
sub_24:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_24:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_24:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_24:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_25:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_25:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.3529 - F1: 0.2190
sub_25:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_25:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.5882 - F1: 0.3835
sub_25:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_25:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1767
sub_25:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_25:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_25:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_25:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_25:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.3529 - F1: 0.1964
sub_25:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.1176
sub_25:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_25:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.3529 - F1: 0.1944
sub_25:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.3529 - F1: 0.1964
sub_26:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_26:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.1765 - F1: 0.1154
sub_26:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_26:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_26:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_26:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_26:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_26:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_26:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_26:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_26:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1190
sub_26:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_26:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.1765 - F1: 0.0750
sub_26:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2941 - F1: 0.1136
sub_26:Test (Best Model) - Loss: 0.3466 - 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: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_27:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_27:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_27:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1736
sub_27:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_27:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.3529 - F1: 0.2635
sub_27:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.1765 - F1: 0.1169
sub_28:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_28:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.3529 - F1: 0.2308
sub_28:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.3529 - F1: 0.2190
sub_28:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_28:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1250
sub_28:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.1111
sub_28:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.1538
sub_28:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.1000
sub_28:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2941 - F1: 0.1136
sub_28:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_29:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_29:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_29:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2353 - F1: 0.0952
sub_29:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_29:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_29:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.0952
sub_29:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_29:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.2353 - F1: 0.1000
sub_29:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.2353 - F1: 0.1000
sub_29:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.2941 - F1: 0.1136
sub_29:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.3529 - F1: 0.2190
sub_29:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1736
sub_29:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2353 - F1: 0.0952
sub_29:Test (Best Model) - Loss: 0.3414 - Accuracy: 0.4118 - F1: 0.2562
sub_29:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.2941 - F1: 0.1136

=== Summary Results ===

acc:   28.21 ± 1.42
F1:    13.11 ± 1.42
acc‑in:34.58 ± 2.47
F1‑in: 16.97 ± 2.80
