lr: 1e-05
sub_3:Test (Best Model) - Loss: 1.3095 - Accuracy: 0.2794 - F1: 0.2009
sub_2:Test (Best Model) - Loss: 1.3328 - Accuracy: 0.3333 - F1: 0.2348
sub_1:Test (Best Model) - Loss: 1.8409 - Accuracy: 0.3382 - F1: 0.2818
sub_2:Test (Best Model) - Loss: 1.3296 - Accuracy: 0.2174 - F1: 0.0893
sub_3:Test (Best Model) - Loss: 1.4013 - Accuracy: 0.2059 - F1: 0.0854
sub_1:Test (Best Model) - Loss: 2.1278 - Accuracy: 0.2059 - F1: 0.0864
sub_2:Test (Best Model) - Loss: 1.3333 - Accuracy: 0.3623 - F1: 0.2593
sub_3:Test (Best Model) - Loss: 1.3657 - Accuracy: 0.4559 - F1: 0.4013
sub_1:Test (Best Model) - Loss: 1.7101 - Accuracy: 0.2647 - F1: 0.1749
sub_2:Test (Best Model) - Loss: 1.3776 - Accuracy: 0.3188 - F1: 0.2139
sub_3:Test (Best Model) - Loss: 1.5294 - Accuracy: 0.3971 - F1: 0.2966
sub_2:Test (Best Model) - Loss: 1.3496 - Accuracy: 0.2464 - F1: 0.1469
sub_1:Test (Best Model) - Loss: 1.7815 - Accuracy: 0.4559 - F1: 0.3096
sub_3:Test (Best Model) - Loss: 1.3783 - Accuracy: 0.2059 - F1: 0.1128
sub_3:Test (Best Model) - Loss: 1.4548 - Accuracy: 0.2754 - F1: 0.1938
sub_2:Test (Best Model) - Loss: 1.3348 - Accuracy: 0.2059 - F1: 0.0854
sub_1:Test (Best Model) - Loss: 2.7849 - Accuracy: 0.2206 - F1: 0.1126
sub_2:Test (Best Model) - Loss: 1.3412 - Accuracy: 0.3235 - F1: 0.2334
sub_3:Test (Best Model) - Loss: 1.6287 - Accuracy: 0.3043 - F1: 0.1961
sub_2:Test (Best Model) - Loss: 1.3540 - Accuracy: 0.4412 - F1: 0.3675
sub_1:Test (Best Model) - Loss: 1.4150 - Accuracy: 0.3768 - F1: 0.3039
sub_2:Test (Best Model) - Loss: 1.3590 - Accuracy: 0.2059 - F1: 0.0854
sub_3:Test (Best Model) - Loss: 1.7579 - Accuracy: 0.3623 - F1: 0.2957
sub_2:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.2059 - F1: 0.0854
sub_3:Test (Best Model) - Loss: 1.7820 - Accuracy: 0.2174 - F1: 0.0893
sub_1:Test (Best Model) - Loss: 1.4197 - Accuracy: 0.3623 - F1: 0.2921
sub_2:Test (Best Model) - Loss: 1.4472 - Accuracy: 0.2174 - F1: 0.0893
sub_2:Test (Best Model) - Loss: 1.3152 - Accuracy: 0.4638 - F1: 0.3142
sub_1:Test (Best Model) - Loss: 1.4130 - Accuracy: 0.4058 - F1: 0.3575
sub_3:Test (Best Model) - Loss: 2.3572 - Accuracy: 0.5652 - F1: 0.4891
sub_2:Test (Best Model) - Loss: 1.4367 - Accuracy: 0.2174 - F1: 0.0926
sub_3:Test (Best Model) - Loss: 1.4442 - Accuracy: 0.2174 - F1: 0.0893
sub_2:Test (Best Model) - Loss: 1.3954 - Accuracy: 0.2464 - F1: 0.1498
sub_1:Test (Best Model) - Loss: 2.9076 - Accuracy: 0.4203 - F1: 0.3731
sub_2:Test (Best Model) - Loss: 1.4187 - Accuracy: 0.2174 - F1: 0.0893
sub_3:Test (Best Model) - Loss: 1.2507 - Accuracy: 0.4058 - F1: 0.2944
sub_1:Test (Best Model) - Loss: 1.7161 - Accuracy: 0.3188 - F1: 0.2182
sub_1:Test (Best Model) - Loss: 1.3886 - Accuracy: 0.2794 - F1: 0.1963
sub_3:Test (Best Model) - Loss: 1.3351 - Accuracy: 0.2319 - F1: 0.1185
sub_1:Test (Best Model) - Loss: 1.2713 - Accuracy: 0.3088 - F1: 0.2372
sub_3:Test (Best Model) - Loss: 1.3375 - Accuracy: 0.2319 - F1: 0.1167
sub_1:Test (Best Model) - Loss: 1.3809 - Accuracy: 0.3382 - F1: 0.2593
sub_3:Test (Best Model) - Loss: 1.2340 - Accuracy: 0.4203 - F1: 0.3152
sub_1:Test (Best Model) - Loss: 1.3563 - Accuracy: 0.2794 - F1: 0.1963
sub_1:Test (Best Model) - Loss: 1.3602 - Accuracy: 0.3382 - F1: 0.2626
sub_5:Test (Best Model) - Loss: 1.7888 - Accuracy: 0.2794 - F1: 0.1936
sub_4:Test (Best Model) - Loss: 1.3514 - Accuracy: 0.3768 - F1: 0.3089
sub_5:Test (Best Model) - Loss: 1.6334 - Accuracy: 0.2059 - F1: 0.0854
sub_6:Test (Best Model) - Loss: 1.4600 - Accuracy: 0.3824 - F1: 0.3456
sub_4:Test (Best Model) - Loss: 1.3068 - Accuracy: 0.3478 - F1: 0.2530
sub_5:Test (Best Model) - Loss: 1.4581 - Accuracy: 0.5441 - F1: 0.4844
sub_6:Test (Best Model) - Loss: 1.6441 - Accuracy: 0.3382 - F1: 0.2526
sub_5:Test (Best Model) - Loss: 1.9429 - Accuracy: 0.3235 - F1: 0.2233
sub_4:Test (Best Model) - Loss: 1.3338 - Accuracy: 0.3913 - F1: 0.3236
sub_6:Test (Best Model) - Loss: 1.5223 - Accuracy: 0.3529 - F1: 0.2602
sub_4:Test (Best Model) - Loss: 1.3041 - Accuracy: 0.4638 - F1: 0.3985
sub_5:Test (Best Model) - Loss: 3.3171 - Accuracy: 0.4118 - F1: 0.3104
sub_6:Test (Best Model) - Loss: 1.6124 - Accuracy: 0.2794 - F1: 0.2058
sub_4:Test (Best Model) - Loss: 1.3325 - Accuracy: 0.3188 - F1: 0.2199
sub_6:Test (Best Model) - Loss: 1.4742 - Accuracy: 0.2500 - F1: 0.2046
sub_5:Test (Best Model) - Loss: 1.3699 - Accuracy: 0.1912 - F1: 0.1496
sub_6:Test (Best Model) - Loss: 1.3967 - Accuracy: 0.2319 - F1: 0.1167
sub_4:Test (Best Model) - Loss: 1.4551 - Accuracy: 0.2319 - F1: 0.1167
sub_5:Test (Best Model) - Loss: 1.3422 - Accuracy: 0.2647 - F1: 0.2118
sub_6:Test (Best Model) - Loss: 1.3930 - Accuracy: 0.2754 - F1: 0.1847
sub_4:Test (Best Model) - Loss: 1.3837 - Accuracy: 0.2319 - F1: 0.1187
sub_6:Test (Best Model) - Loss: 1.4258 - Accuracy: 0.2899 - F1: 0.2183
sub_5:Test (Best Model) - Loss: 1.3810 - Accuracy: 0.3382 - F1: 0.2443
sub_6:Test (Best Model) - Loss: 1.4167 - Accuracy: 0.2174 - F1: 0.0893
sub_4:Test (Best Model) - Loss: 1.3949 - Accuracy: 0.2464 - F1: 0.1415
sub_6:Test (Best Model) - Loss: 1.4184 - Accuracy: 0.3043 - F1: 0.2307
sub_4:Test (Best Model) - Loss: 1.4853 - Accuracy: 0.2319 - F1: 0.1167
sub_6:Test (Best Model) - Loss: 1.4422 - Accuracy: 0.2609 - F1: 0.1640
sub_4:Test (Best Model) - Loss: 1.4168 - Accuracy: 0.2464 - F1: 0.1415
sub_5:Test (Best Model) - Loss: 1.3452 - Accuracy: 0.4559 - F1: 0.4188
sub_6:Test (Best Model) - Loss: 1.4424 - Accuracy: 0.3043 - F1: 0.2212
sub_5:Test (Best Model) - Loss: 1.3291 - Accuracy: 0.2794 - F1: 0.2226
sub_4:Test (Best Model) - Loss: 1.6115 - Accuracy: 0.3043 - F1: 0.2212
sub_4:Test (Best Model) - Loss: 1.3837 - Accuracy: 0.2609 - F1: 0.1939
sub_5:Test (Best Model) - Loss: 1.3775 - Accuracy: 0.3529 - F1: 0.2531
sub_6:Test (Best Model) - Loss: 1.5221 - Accuracy: 0.3188 - F1: 0.2442
sub_4:Test (Best Model) - Loss: 1.5996 - Accuracy: 0.4203 - F1: 0.3251
sub_6:Test (Best Model) - Loss: 1.3987 - Accuracy: 0.2899 - F1: 0.2315
sub_5:Test (Best Model) - Loss: 1.2511 - Accuracy: 0.2794 - F1: 0.1367
sub_6:Test (Best Model) - Loss: 1.3894 - Accuracy: 0.3623 - F1: 0.2799
sub_4:Test (Best Model) - Loss: 1.4874 - Accuracy: 0.3913 - F1: 0.3071
sub_5:Test (Best Model) - Loss: 1.3273 - Accuracy: 0.2941 - F1: 0.2661
sub_4:Test (Best Model) - Loss: 1.4762 - Accuracy: 0.4493 - F1: 0.3422
sub_5:Test (Best Model) - Loss: 1.3644 - Accuracy: 0.1912 - F1: 0.1158
sub_5:Test (Best Model) - Loss: 1.3744 - Accuracy: 0.1912 - F1: 0.1230
sub_9:Test (Best Model) - Loss: 1.3303 - Accuracy: 0.2941 - F1: 0.2033
sub_7:Test (Best Model) - Loss: 1.3688 - Accuracy: 0.2941 - F1: 0.2095
sub_8:Test (Best Model) - Loss: 1.3255 - Accuracy: 0.4265 - F1: 0.2941
sub_9:Test (Best Model) - Loss: 1.3499 - Accuracy: 0.1912 - F1: 0.0813
sub_7:Test (Best Model) - Loss: 1.4293 - Accuracy: 0.1618 - F1: 0.0696
sub_8:Test (Best Model) - Loss: 1.3836 - Accuracy: 0.3676 - F1: 0.2780
sub_9:Test (Best Model) - Loss: 1.3249 - Accuracy: 0.3235 - F1: 0.2244
sub_9:Test (Best Model) - Loss: 1.3669 - Accuracy: 0.3529 - F1: 0.2374
sub_7:Test (Best Model) - Loss: 1.2365 - Accuracy: 0.4706 - F1: 0.4888
sub_8:Test (Best Model) - Loss: 1.3566 - Accuracy: 0.4265 - F1: 0.3640
sub_9:Test (Best Model) - Loss: 1.3577 - Accuracy: 0.3088 - F1: 0.2152
sub_9:Test (Best Model) - Loss: 1.3424 - Accuracy: 0.2353 - F1: 0.1433
sub_7:Test (Best Model) - Loss: 1.5795 - Accuracy: 0.2500 - F1: 0.2019
sub_9:Test (Best Model) - Loss: 1.3482 - Accuracy: 0.2353 - F1: 0.1399
sub_8:Test (Best Model) - Loss: 1.3506 - Accuracy: 0.3382 - F1: 0.2485
sub_7:Test (Best Model) - Loss: 1.3952 - Accuracy: 0.1618 - F1: 0.0986
sub_9:Test (Best Model) - Loss: 1.3274 - Accuracy: 0.2500 - F1: 0.1659
sub_8:Test (Best Model) - Loss: 1.3685 - Accuracy: 0.1912 - F1: 0.1877
sub_7:Test (Best Model) - Loss: 1.3106 - Accuracy: 0.2647 - F1: 0.1854
sub_9:Test (Best Model) - Loss: 1.3646 - Accuracy: 0.2059 - F1: 0.0854
sub_8:Test (Best Model) - Loss: 1.4131 - Accuracy: 0.3529 - F1: 0.2724
sub_7:Test (Best Model) - Loss: 1.3226 - Accuracy: 0.3529 - F1: 0.2941
sub_8:Test (Best Model) - Loss: 1.3547 - Accuracy: 0.3676 - F1: 0.2848
sub_9:Test (Best Model) - Loss: 1.3873 - Accuracy: 0.2794 - F1: 0.1889
sub_7:Test (Best Model) - Loss: 1.3496 - Accuracy: 0.4853 - F1: 0.4193
sub_9:Test (Best Model) - Loss: 1.4527 - Accuracy: 0.2059 - F1: 0.0854
sub_7:Test (Best Model) - Loss: 1.3266 - Accuracy: 0.4118 - F1: 0.2894
sub_9:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.1765 - F1: 0.0769
sub_7:Test (Best Model) - Loss: 1.3546 - Accuracy: 0.2500 - F1: 0.1875
sub_8:Test (Best Model) - Loss: 1.5731 - Accuracy: 0.4559 - F1: 0.4153
sub_9:Test (Best Model) - Loss: 1.3960 - Accuracy: 0.2059 - F1: 0.1397
sub_7:Test (Best Model) - Loss: 1.4109 - Accuracy: 0.2059 - F1: 0.0854
sub_9:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.1912 - F1: 0.0802
sub_8:Test (Best Model) - Loss: 1.5510 - Accuracy: 0.3235 - F1: 0.2484
sub_8:Test (Best Model) - Loss: 1.5593 - Accuracy: 0.4412 - F1: 0.3227
sub_7:Test (Best Model) - Loss: 1.3754 - Accuracy: 0.4412 - F1: 0.4256
sub_9:Test (Best Model) - Loss: 1.4998 - Accuracy: 0.1912 - F1: 0.0823
sub_7:Test (Best Model) - Loss: 1.4214 - Accuracy: 0.2500 - F1: 0.1900
sub_8:Test (Best Model) - Loss: 1.4645 - Accuracy: 0.2647 - F1: 0.1965
sub_7:Test (Best Model) - Loss: 1.3734 - Accuracy: 0.1912 - F1: 0.0844
sub_7:Test (Best Model) - Loss: 1.3340 - Accuracy: 0.2794 - F1: 0.2285
sub_8:Test (Best Model) - Loss: 1.7428 - Accuracy: 0.5000 - F1: 0.4289
sub_8:Test (Best Model) - Loss: 1.3903 - Accuracy: 0.2500 - F1: 0.2049
sub_8:Test (Best Model) - Loss: 1.3836 - Accuracy: 0.2059 - F1: 0.1282
sub_8:Test (Best Model) - Loss: 1.3860 - Accuracy: 0.2794 - F1: 0.2118
sub_12:Test (Best Model) - Loss: 1.3217 - Accuracy: 0.2059 - F1: 0.0875
sub_11:Test (Best Model) - Loss: 1.2961 - Accuracy: 0.2319 - F1: 0.1185
sub_10:Test (Best Model) - Loss: 1.4904 - Accuracy: 0.2059 - F1: 0.0854
sub_12:Test (Best Model) - Loss: 1.3152 - Accuracy: 0.3088 - F1: 0.2292
sub_10:Test (Best Model) - Loss: 1.5588 - Accuracy: 0.2059 - F1: 0.0854
sub_11:Test (Best Model) - Loss: 1.3461 - Accuracy: 0.2899 - F1: 0.2036
sub_11:Test (Best Model) - Loss: 1.2622 - Accuracy: 0.2754 - F1: 0.1871
sub_10:Test (Best Model) - Loss: 1.5887 - Accuracy: 0.2353 - F1: 0.1526
sub_12:Test (Best Model) - Loss: 1.3228 - Accuracy: 0.2941 - F1: 0.2133
sub_12:Test (Best Model) - Loss: 1.3278 - Accuracy: 0.2500 - F1: 0.1612
sub_10:Test (Best Model) - Loss: 1.4951 - Accuracy: 0.2206 - F1: 0.1127
sub_11:Test (Best Model) - Loss: 1.2691 - Accuracy: 0.3188 - F1: 0.2561
sub_12:Test (Best Model) - Loss: 1.3418 - Accuracy: 0.3676 - F1: 0.2653
sub_11:Test (Best Model) - Loss: 1.2784 - Accuracy: 0.2754 - F1: 0.1858
sub_10:Test (Best Model) - Loss: 1.6839 - Accuracy: 0.1912 - F1: 0.0813
sub_12:Test (Best Model) - Loss: 1.4017 - Accuracy: 0.2174 - F1: 0.0893
sub_10:Test (Best Model) - Loss: 2.9888 - Accuracy: 0.2059 - F1: 0.0854
sub_11:Test (Best Model) - Loss: 1.4713 - Accuracy: 0.3188 - F1: 0.2306
sub_12:Test (Best Model) - Loss: 1.3902 - Accuracy: 0.2174 - F1: 0.0893
sub_10:Test (Best Model) - Loss: 2.4626 - Accuracy: 0.2059 - F1: 0.0854
sub_12:Test (Best Model) - Loss: 1.3998 - Accuracy: 0.2174 - F1: 0.0904
sub_11:Test (Best Model) - Loss: 1.4112 - Accuracy: 0.3768 - F1: 0.3055
sub_12:Test (Best Model) - Loss: 1.3867 - Accuracy: 0.2174 - F1: 0.0893
sub_10:Test (Best Model) - Loss: 3.0570 - Accuracy: 0.2059 - F1: 0.0854
sub_10:Test (Best Model) - Loss: 2.2058 - Accuracy: 0.2206 - F1: 0.1127
sub_12:Test (Best Model) - Loss: 1.3566 - Accuracy: 0.2609 - F1: 0.1564
sub_11:Test (Best Model) - Loss: 1.4022 - Accuracy: 0.2464 - F1: 0.1568
sub_10:Test (Best Model) - Loss: 3.2873 - Accuracy: 0.2059 - F1: 0.0854
sub_12:Test (Best Model) - Loss: 1.5073 - Accuracy: 0.2059 - F1: 0.0854
sub_11:Test (Best Model) - Loss: 1.8003 - Accuracy: 0.3768 - F1: 0.3152
sub_10:Test (Best Model) - Loss: 1.5344 - Accuracy: 0.2174 - F1: 0.0893
sub_12:Test (Best Model) - Loss: 1.2621 - Accuracy: 0.3235 - F1: 0.2440
sub_10:Test (Best Model) - Loss: 1.3534 - Accuracy: 0.2174 - F1: 0.0893
sub_11:Test (Best Model) - Loss: 1.5746 - Accuracy: 0.3188 - F1: 0.2169
sub_12:Test (Best Model) - Loss: 1.3997 - Accuracy: 0.3529 - F1: 0.2505
sub_12:Test (Best Model) - Loss: 1.3716 - Accuracy: 0.2206 - F1: 0.1127
sub_10:Test (Best Model) - Loss: 1.4629 - Accuracy: 0.3333 - F1: 0.2579
sub_11:Test (Best Model) - Loss: 1.3936 - Accuracy: 0.3623 - F1: 0.2569
sub_12:Test (Best Model) - Loss: 1.3471 - Accuracy: 0.3971 - F1: 0.2840
sub_10:Test (Best Model) - Loss: 1.4489 - Accuracy: 0.2319 - F1: 0.1375
sub_11:Test (Best Model) - Loss: 1.3466 - Accuracy: 0.3188 - F1: 0.2506
sub_10:Test (Best Model) - Loss: 1.4303 - Accuracy: 0.3768 - F1: 0.2921
sub_11:Test (Best Model) - Loss: 1.3892 - Accuracy: 0.3623 - F1: 0.2723
sub_11:Test (Best Model) - Loss: 1.3757 - Accuracy: 0.2899 - F1: 0.2111
sub_11:Test (Best Model) - Loss: 1.3607 - Accuracy: 0.3478 - F1: 0.2464
sub_15:Test (Best Model) - Loss: 1.9911 - Accuracy: 0.2500 - F1: 0.1549
sub_14:Test (Best Model) - Loss: 1.4640 - Accuracy: 0.2794 - F1: 0.1533
sub_13:Test (Best Model) - Loss: 1.4029 - Accuracy: 0.3235 - F1: 0.2178
sub_13:Test (Best Model) - Loss: 1.3705 - Accuracy: 0.2941 - F1: 0.2183
sub_15:Test (Best Model) - Loss: 2.6259 - Accuracy: 0.2206 - F1: 0.1127
sub_14:Test (Best Model) - Loss: 1.4703 - Accuracy: 0.2647 - F1: 0.1071
sub_13:Test (Best Model) - Loss: 1.4287 - Accuracy: 0.3971 - F1: 0.3692
sub_14:Test (Best Model) - Loss: 1.5046 - Accuracy: 0.3971 - F1: 0.3023
sub_15:Test (Best Model) - Loss: 2.7980 - Accuracy: 0.2500 - F1: 0.1533
sub_13:Test (Best Model) - Loss: 1.3826 - Accuracy: 0.4412 - F1: 0.3381
sub_15:Test (Best Model) - Loss: 2.1006 - Accuracy: 0.3971 - F1: 0.2941
sub_14:Test (Best Model) - Loss: 1.3610 - Accuracy: 0.3235 - F1: 0.2110
sub_13:Test (Best Model) - Loss: 1.4098 - Accuracy: 0.4265 - F1: 0.3761
sub_15:Test (Best Model) - Loss: 2.7182 - Accuracy: 0.3824 - F1: 0.3923
sub_13:Test (Best Model) - Loss: 1.4100 - Accuracy: 0.4203 - F1: 0.3547
sub_14:Test (Best Model) - Loss: 1.3908 - Accuracy: 0.2941 - F1: 0.1976
sub_15:Test (Best Model) - Loss: 1.3314 - Accuracy: 0.3824 - F1: 0.3240
sub_14:Test (Best Model) - Loss: 1.4352 - Accuracy: 0.3676 - F1: 0.2780
sub_13:Test (Best Model) - Loss: 1.3833 - Accuracy: 0.4638 - F1: 0.3853
sub_15:Test (Best Model) - Loss: 1.3625 - Accuracy: 0.2647 - F1: 0.1821
sub_14:Test (Best Model) - Loss: 1.4322 - Accuracy: 0.2500 - F1: 0.1731
sub_13:Test (Best Model) - Loss: 1.3948 - Accuracy: 0.3913 - F1: 0.3090
sub_15:Test (Best Model) - Loss: 1.3418 - Accuracy: 0.2647 - F1: 0.1792
sub_13:Test (Best Model) - Loss: 1.4345 - Accuracy: 0.3043 - F1: 0.2168
sub_14:Test (Best Model) - Loss: 1.4110 - Accuracy: 0.3088 - F1: 0.2678
sub_13:Test (Best Model) - Loss: 1.4828 - Accuracy: 0.2754 - F1: 0.1833
sub_15:Test (Best Model) - Loss: 1.3957 - Accuracy: 0.3235 - F1: 0.2440
sub_14:Test (Best Model) - Loss: 1.5011 - Accuracy: 0.2206 - F1: 0.1186
sub_13:Test (Best Model) - Loss: 1.3192 - Accuracy: 0.4265 - F1: 0.3248
sub_14:Test (Best Model) - Loss: 1.4704 - Accuracy: 0.3088 - F1: 0.2468
sub_15:Test (Best Model) - Loss: 1.3570 - Accuracy: 0.4265 - F1: 0.3001
sub_13:Test (Best Model) - Loss: 1.5455 - Accuracy: 0.2941 - F1: 0.1815
sub_14:Test (Best Model) - Loss: 1.3726 - Accuracy: 0.2059 - F1: 0.0875
sub_15:Test (Best Model) - Loss: 1.6228 - Accuracy: 0.3235 - F1: 0.2380
sub_13:Test (Best Model) - Loss: 1.3882 - Accuracy: 0.4265 - F1: 0.3452
sub_14:Test (Best Model) - Loss: 1.4747 - Accuracy: 0.2647 - F1: 0.1047
sub_13:Test (Best Model) - Loss: 1.4909 - Accuracy: 0.3529 - F1: 0.2381
sub_15:Test (Best Model) - Loss: 1.6603 - Accuracy: 0.4265 - F1: 0.3798
sub_14:Test (Best Model) - Loss: 1.3920 - Accuracy: 0.3382 - F1: 0.3030
sub_13:Test (Best Model) - Loss: 1.7974 - Accuracy: 0.2941 - F1: 0.1668
sub_14:Test (Best Model) - Loss: 1.4220 - Accuracy: 0.1912 - F1: 0.1000
sub_15:Test (Best Model) - Loss: 1.4867 - Accuracy: 0.3382 - F1: 0.2592
sub_14:Test (Best Model) - Loss: 1.3752 - Accuracy: 0.3971 - F1: 0.2781
sub_15:Test (Best Model) - Loss: 1.4514 - Accuracy: 0.3088 - F1: 0.2664
sub_15:Test (Best Model) - Loss: 1.4676 - Accuracy: 0.2206 - F1: 0.1299
sub_18:Test (Best Model) - Loss: 1.5092 - Accuracy: 0.2754 - F1: 0.2073
sub_17:Test (Best Model) - Loss: 1.3527 - Accuracy: 0.1739 - F1: 0.0941
sub_18:Test (Best Model) - Loss: 1.7380 - Accuracy: 0.2174 - F1: 0.0893
sub_16:Test (Best Model) - Loss: 1.3971 - Accuracy: 0.2941 - F1: 0.2044
sub_17:Test (Best Model) - Loss: 1.3871 - Accuracy: 0.1884 - F1: 0.1122
sub_18:Test (Best Model) - Loss: 1.3941 - Accuracy: 0.2464 - F1: 0.1422
sub_16:Test (Best Model) - Loss: 1.4003 - Accuracy: 0.1765 - F1: 0.0769
sub_17:Test (Best Model) - Loss: 1.3714 - Accuracy: 0.2464 - F1: 0.1921
sub_16:Test (Best Model) - Loss: 1.4065 - Accuracy: 0.1912 - F1: 0.1136
sub_18:Test (Best Model) - Loss: 1.6308 - Accuracy: 0.2754 - F1: 0.1795
sub_17:Test (Best Model) - Loss: 1.3692 - Accuracy: 0.2174 - F1: 0.1472
sub_16:Test (Best Model) - Loss: 1.4142 - Accuracy: 0.3971 - F1: 0.2697
sub_18:Test (Best Model) - Loss: 1.6194 - Accuracy: 0.1449 - F1: 0.0649
sub_16:Test (Best Model) - Loss: 1.4355 - Accuracy: 0.2353 - F1: 0.1828
sub_17:Test (Best Model) - Loss: 1.3513 - Accuracy: 0.2319 - F1: 0.1659
sub_16:Test (Best Model) - Loss: 1.4096 - Accuracy: 0.3529 - F1: 0.2476
sub_18:Test (Best Model) - Loss: 1.3671 - Accuracy: 0.2206 - F1: 0.1124
sub_17:Test (Best Model) - Loss: 1.3556 - Accuracy: 0.2319 - F1: 0.1340
sub_16:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2206 - F1: 0.1714
sub_18:Test (Best Model) - Loss: 1.3753 - Accuracy: 0.2353 - F1: 0.1374
sub_17:Test (Best Model) - Loss: 1.3663 - Accuracy: 0.2754 - F1: 0.2065
sub_16:Test (Best Model) - Loss: 1.3907 - Accuracy: 0.2794 - F1: 0.1791
sub_18:Test (Best Model) - Loss: 1.3809 - Accuracy: 0.2500 - F1: 0.1514
sub_16:Test (Best Model) - Loss: 1.4096 - Accuracy: 0.2059 - F1: 0.0854
sub_18:Test (Best Model) - Loss: 1.3733 - Accuracy: 0.2059 - F1: 0.0854
sub_17:Test (Best Model) - Loss: 1.3628 - Accuracy: 0.2319 - F1: 0.1899
sub_16:Test (Best Model) - Loss: 1.4168 - Accuracy: 0.2500 - F1: 0.1634
sub_18:Test (Best Model) - Loss: 1.3928 - Accuracy: 0.2500 - F1: 0.1748
sub_17:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.2609 - F1: 0.1975
sub_18:Test (Best Model) - Loss: 1.4640 - Accuracy: 0.2059 - F1: 0.0854
sub_16:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2206 - F1: 0.1477
sub_18:Test (Best Model) - Loss: 1.5226 - Accuracy: 0.2794 - F1: 0.1322
sub_16:Test (Best Model) - Loss: 1.3659 - Accuracy: 0.2353 - F1: 0.1538
sub_17:Test (Best Model) - Loss: 1.3666 - Accuracy: 0.2899 - F1: 0.2204
sub_18:Test (Best Model) - Loss: 1.4491 - Accuracy: 0.1618 - F1: 0.0982
sub_16:Test (Best Model) - Loss: 1.4087 - Accuracy: 0.3088 - F1: 0.2535
sub_17:Test (Best Model) - Loss: 1.3505 - Accuracy: 0.2059 - F1: 0.0854
sub_18:Test (Best Model) - Loss: 1.4513 - Accuracy: 0.2206 - F1: 0.1158
sub_16:Test (Best Model) - Loss: 1.3647 - Accuracy: 0.2500 - F1: 0.1809
sub_17:Test (Best Model) - Loss: 1.3305 - Accuracy: 0.3676 - F1: 0.3221
sub_18:Test (Best Model) - Loss: 1.4512 - Accuracy: 0.2059 - F1: 0.0864
sub_17:Test (Best Model) - Loss: 1.3372 - Accuracy: 0.4559 - F1: 0.3970
sub_16:Test (Best Model) - Loss: 1.3438 - Accuracy: 0.2059 - F1: 0.1116
sub_17:Test (Best Model) - Loss: 1.3564 - Accuracy: 0.2941 - F1: 0.2331
sub_17:Test (Best Model) - Loss: 1.3391 - Accuracy: 0.3676 - F1: 0.2602
sub_19:Test (Best Model) - Loss: 1.4434 - Accuracy: 0.3235 - F1: 0.2197
sub_21:Test (Best Model) - Loss: 1.3654 - Accuracy: 0.3971 - F1: 0.3278
sub_20:Test (Best Model) - Loss: 1.3120 - Accuracy: 0.4265 - F1: 0.3766
sub_19:Test (Best Model) - Loss: 1.4846 - Accuracy: 0.3382 - F1: 0.2321
sub_21:Test (Best Model) - Loss: 1.4232 - Accuracy: 0.2059 - F1: 0.0854
sub_19:Test (Best Model) - Loss: 1.3779 - Accuracy: 0.3235 - F1: 0.2237
sub_20:Test (Best Model) - Loss: 1.3061 - Accuracy: 0.4265 - F1: 0.2909
sub_21:Test (Best Model) - Loss: 1.3443 - Accuracy: 0.3088 - F1: 0.2320
sub_19:Test (Best Model) - Loss: 1.4511 - Accuracy: 0.3529 - F1: 0.3155
sub_21:Test (Best Model) - Loss: 1.3130 - Accuracy: 0.4412 - F1: 0.2999
sub_20:Test (Best Model) - Loss: 1.3101 - Accuracy: 0.4412 - F1: 0.3652
sub_21:Test (Best Model) - Loss: 1.4996 - Accuracy: 0.2794 - F1: 0.1963
sub_19:Test (Best Model) - Loss: 1.4908 - Accuracy: 0.3235 - F1: 0.2337
sub_20:Test (Best Model) - Loss: 1.3084 - Accuracy: 0.5000 - F1: 0.4179
sub_19:Test (Best Model) - Loss: 1.3625 - Accuracy: 0.2206 - F1: 0.1138
sub_21:Test (Best Model) - Loss: 1.2709 - Accuracy: 0.3529 - F1: 0.2660
sub_20:Test (Best Model) - Loss: 1.2838 - Accuracy: 0.4559 - F1: 0.3698
sub_19:Test (Best Model) - Loss: 1.2998 - Accuracy: 0.3088 - F1: 0.2123
sub_20:Test (Best Model) - Loss: 1.3236 - Accuracy: 0.3824 - F1: 0.3065
sub_21:Test (Best Model) - Loss: 1.4409 - Accuracy: 0.2647 - F1: 0.1791
sub_19:Test (Best Model) - Loss: 1.3094 - Accuracy: 0.3382 - F1: 0.2292
sub_21:Test (Best Model) - Loss: 1.4196 - Accuracy: 0.3088 - F1: 0.2012
sub_20:Test (Best Model) - Loss: 1.3210 - Accuracy: 0.5441 - F1: 0.4839
sub_21:Test (Best Model) - Loss: 1.4438 - Accuracy: 0.2059 - F1: 0.0854
sub_21:Test (Best Model) - Loss: 1.4734 - Accuracy: 0.2206 - F1: 0.1127
sub_20:Test (Best Model) - Loss: 1.3059 - Accuracy: 0.4559 - F1: 0.4019
sub_19:Test (Best Model) - Loss: 1.3249 - Accuracy: 0.2647 - F1: 0.1700
sub_20:Test (Best Model) - Loss: 1.3347 - Accuracy: 0.4559 - F1: 0.4115
sub_19:Test (Best Model) - Loss: 1.3311 - Accuracy: 0.3235 - F1: 0.2167
sub_19:Test (Best Model) - Loss: 1.3005 - Accuracy: 0.2353 - F1: 0.1362
sub_20:Test (Best Model) - Loss: 1.3214 - Accuracy: 0.4118 - F1: 0.3118
sub_21:Test (Best Model) - Loss: 1.2732 - Accuracy: 0.3676 - F1: 0.2746
sub_19:Test (Best Model) - Loss: 1.2917 - Accuracy: 0.3088 - F1: 0.2408
sub_20:Test (Best Model) - Loss: 1.5675 - Accuracy: 0.3623 - F1: 0.2752
sub_21:Test (Best Model) - Loss: 1.3542 - Accuracy: 0.3382 - F1: 0.2662
sub_20:Test (Best Model) - Loss: 1.4051 - Accuracy: 0.3623 - F1: 0.2833
sub_19:Test (Best Model) - Loss: 1.2418 - Accuracy: 0.3676 - F1: 0.2981
sub_21:Test (Best Model) - Loss: 1.3512 - Accuracy: 0.2500 - F1: 0.1579
sub_21:Test (Best Model) - Loss: 1.3546 - Accuracy: 0.2353 - F1: 0.1344
sub_20:Test (Best Model) - Loss: 1.4002 - Accuracy: 0.3768 - F1: 0.2815
sub_19:Test (Best Model) - Loss: 1.2957 - Accuracy: 0.4118 - F1: 0.2818
sub_20:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.3188 - F1: 0.2333
sub_19:Test (Best Model) - Loss: 1.2324 - Accuracy: 0.2647 - F1: 0.1683
sub_21:Test (Best Model) - Loss: 1.3346 - Accuracy: 0.2206 - F1: 0.1127
sub_20:Test (Best Model) - Loss: 1.5130 - Accuracy: 0.3913 - F1: 0.2911
sub_22:Test (Best Model) - Loss: 1.5503 - Accuracy: 0.2059 - F1: 0.0854
sub_24:Test (Best Model) - Loss: 1.3268 - Accuracy: 0.3382 - F1: 0.3242
sub_23:Test (Best Model) - Loss: 1.3666 - Accuracy: 0.2319 - F1: 0.1943
sub_22:Test (Best Model) - Loss: 1.7222 - Accuracy: 0.2059 - F1: 0.0854
sub_24:Test (Best Model) - Loss: 1.3918 - Accuracy: 0.3529 - F1: 0.3080
sub_22:Test (Best Model) - Loss: 1.4651 - Accuracy: 0.1912 - F1: 0.0813
sub_23:Test (Best Model) - Loss: 1.3255 - Accuracy: 0.2319 - F1: 0.2067
sub_24:Test (Best Model) - Loss: 1.3224 - Accuracy: 0.3676 - F1: 0.2523
sub_22:Test (Best Model) - Loss: 1.4657 - Accuracy: 0.2206 - F1: 0.1129
sub_24:Test (Best Model) - Loss: 1.3777 - Accuracy: 0.3382 - F1: 0.2427
sub_22:Test (Best Model) - Loss: 1.5333 - Accuracy: 0.2059 - F1: 0.0921
sub_23:Test (Best Model) - Loss: 1.3432 - Accuracy: 0.3043 - F1: 0.2239
sub_24:Test (Best Model) - Loss: 1.3832 - Accuracy: 0.2941 - F1: 0.1696
sub_22:Test (Best Model) - Loss: 1.3434 - Accuracy: 0.3913 - F1: 0.2675
sub_23:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.3043 - F1: 0.2095
sub_24:Test (Best Model) - Loss: 1.4274 - Accuracy: 0.4118 - F1: 0.3357
sub_23:Test (Best Model) - Loss: 1.4366 - Accuracy: 0.2754 - F1: 0.1913
sub_22:Test (Best Model) - Loss: 1.3399 - Accuracy: 0.4058 - F1: 0.2758
sub_23:Test (Best Model) - Loss: 2.0971 - Accuracy: 0.1912 - F1: 0.1121
sub_24:Test (Best Model) - Loss: 1.4273 - Accuracy: 0.4265 - F1: 0.3654
sub_23:Test (Best Model) - Loss: 1.3718 - Accuracy: 0.2941 - F1: 0.1943
sub_22:Test (Best Model) - Loss: 1.3238 - Accuracy: 0.4058 - F1: 0.3069
sub_23:Test (Best Model) - Loss: 1.4015 - Accuracy: 0.2206 - F1: 0.1536
sub_24:Test (Best Model) - Loss: 1.3799 - Accuracy: 0.4118 - F1: 0.3244
sub_22:Test (Best Model) - Loss: 1.3164 - Accuracy: 0.4348 - F1: 0.2940
sub_23:Test (Best Model) - Loss: 1.3896 - Accuracy: 0.2059 - F1: 0.0854
sub_24:Test (Best Model) - Loss: 1.4061 - Accuracy: 0.4265 - F1: 0.3001
sub_23:Test (Best Model) - Loss: 1.3812 - Accuracy: 0.3235 - F1: 0.2333
sub_22:Test (Best Model) - Loss: 1.3076 - Accuracy: 0.4203 - F1: 0.3156
sub_23:Test (Best Model) - Loss: 1.4885 - Accuracy: 0.2174 - F1: 0.0893
sub_24:Test (Best Model) - Loss: 1.4352 - Accuracy: 0.4265 - F1: 0.3648
sub_22:Test (Best Model) - Loss: 1.7238 - Accuracy: 0.2059 - F1: 0.0854
sub_23:Test (Best Model) - Loss: 1.3651 - Accuracy: 0.2174 - F1: 0.1270
sub_24:Test (Best Model) - Loss: 1.4217 - Accuracy: 0.3676 - F1: 0.2952
sub_22:Test (Best Model) - Loss: 1.6401 - Accuracy: 0.1765 - F1: 0.0789
sub_24:Test (Best Model) - Loss: 1.3625 - Accuracy: 0.2500 - F1: 0.1238
sub_23:Test (Best Model) - Loss: 1.3953 - Accuracy: 0.3043 - F1: 0.2500
sub_22:Test (Best Model) - Loss: 1.5860 - Accuracy: 0.2059 - F1: 0.1224
sub_22:Test (Best Model) - Loss: 1.4780 - Accuracy: 0.1912 - F1: 0.1007
sub_23:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.2754 - F1: 0.2044
sub_24:Test (Best Model) - Loss: 1.4350 - Accuracy: 0.3088 - F1: 0.2902
sub_23:Test (Best Model) - Loss: 1.4438 - Accuracy: 0.2754 - F1: 0.1896
sub_22:Test (Best Model) - Loss: 1.5210 - Accuracy: 0.2206 - F1: 0.1431
sub_24:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.2941 - F1: 0.2480
sub_24:Test (Best Model) - Loss: 1.3486 - Accuracy: 0.3824 - F1: 0.2972
sub_26:Test (Best Model) - Loss: 1.3544 - Accuracy: 0.2754 - F1: 0.2507
sub_27:Test (Best Model) - Loss: 1.3527 - Accuracy: 0.1739 - F1: 0.0941
sub_26:Test (Best Model) - Loss: 1.3583 - Accuracy: 0.2319 - F1: 0.1167
sub_25:Test (Best Model) - Loss: 1.2758 - Accuracy: 0.5362 - F1: 0.4922
sub_27:Test (Best Model) - Loss: 1.3871 - Accuracy: 0.1884 - F1: 0.1122
sub_26:Test (Best Model) - Loss: 1.3425 - Accuracy: 0.2899 - F1: 0.1853
sub_25:Test (Best Model) - Loss: 1.3341 - Accuracy: 0.3913 - F1: 0.2984
sub_27:Test (Best Model) - Loss: 1.3714 - Accuracy: 0.2464 - F1: 0.1921
sub_26:Test (Best Model) - Loss: 1.3364 - Accuracy: 0.3913 - F1: 0.2750
sub_27:Test (Best Model) - Loss: 1.3692 - Accuracy: 0.2174 - F1: 0.1472
sub_26:Test (Best Model) - Loss: 1.3472 - Accuracy: 0.2899 - F1: 0.2026
sub_25:Test (Best Model) - Loss: 1.2692 - Accuracy: 0.5652 - F1: 0.5384
sub_26:Test (Best Model) - Loss: 1.3303 - Accuracy: 0.2500 - F1: 0.1671
sub_27:Test (Best Model) - Loss: 1.3513 - Accuracy: 0.2319 - F1: 0.1659
sub_26:Test (Best Model) - Loss: 1.3147 - Accuracy: 0.3382 - F1: 0.2582
sub_25:Test (Best Model) - Loss: 1.3054 - Accuracy: 0.5217 - F1: 0.4531
sub_27:Test (Best Model) - Loss: 1.3556 - Accuracy: 0.2319 - F1: 0.1340
sub_26:Test (Best Model) - Loss: 1.3589 - Accuracy: 0.2941 - F1: 0.2072
sub_25:Test (Best Model) - Loss: 1.3099 - Accuracy: 0.4348 - F1: 0.3662
sub_27:Test (Best Model) - Loss: 1.3663 - Accuracy: 0.2754 - F1: 0.2065
sub_25:Test (Best Model) - Loss: 1.3318 - Accuracy: 0.3676 - F1: 0.2878
sub_26:Test (Best Model) - Loss: 1.3499 - Accuracy: 0.2353 - F1: 0.1493
sub_26:Test (Best Model) - Loss: 1.3323 - Accuracy: 0.3971 - F1: 0.3251
sub_27:Test (Best Model) - Loss: 1.3628 - Accuracy: 0.2319 - F1: 0.1899
sub_25:Test (Best Model) - Loss: 1.3399 - Accuracy: 0.5882 - F1: 0.5769
sub_26:Test (Best Model) - Loss: 1.6132 - Accuracy: 0.2059 - F1: 0.0854
sub_25:Test (Best Model) - Loss: 1.3104 - Accuracy: 0.4706 - F1: 0.4449
sub_27:Test (Best Model) - Loss: 1.3840 - Accuracy: 0.2609 - F1: 0.1975
sub_26:Test (Best Model) - Loss: 1.5373 - Accuracy: 0.2059 - F1: 0.1200
sub_25:Test (Best Model) - Loss: 1.3370 - Accuracy: 0.4265 - F1: 0.3845
sub_27:Test (Best Model) - Loss: 1.3666 - Accuracy: 0.2899 - F1: 0.2204
sub_26:Test (Best Model) - Loss: 1.5113 - Accuracy: 0.1618 - F1: 0.0912
sub_27:Test (Best Model) - Loss: 1.3505 - Accuracy: 0.2059 - F1: 0.0854
sub_26:Test (Best Model) - Loss: 1.4677 - Accuracy: 0.1912 - F1: 0.0802
sub_25:Test (Best Model) - Loss: 1.3510 - Accuracy: 0.4412 - F1: 0.3713
sub_27:Test (Best Model) - Loss: 1.3305 - Accuracy: 0.3676 - F1: 0.3221
sub_25:Test (Best Model) - Loss: 1.4844 - Accuracy: 0.3088 - F1: 0.2333
sub_26:Test (Best Model) - Loss: 1.5190 - Accuracy: 0.1765 - F1: 0.1075
sub_27:Test (Best Model) - Loss: 1.3372 - Accuracy: 0.4559 - F1: 0.3970
sub_25:Test (Best Model) - Loss: 1.1739 - Accuracy: 0.5000 - F1: 0.4467
sub_27:Test (Best Model) - Loss: 1.3564 - Accuracy: 0.2941 - F1: 0.2331
sub_25:Test (Best Model) - Loss: 1.4191 - Accuracy: 0.4118 - F1: 0.3537
sub_27:Test (Best Model) - Loss: 1.3391 - Accuracy: 0.3676 - F1: 0.2602
sub_25:Test (Best Model) - Loss: 1.4126 - Accuracy: 0.3235 - F1: 0.2582
sub_25:Test (Best Model) - Loss: 1.3493 - Accuracy: 0.3676 - F1: 0.2780
sub_29:Test (Best Model) - Loss: 1.4007 - Accuracy: 0.2059 - F1: 0.0864
sub_28:Test (Best Model) - Loss: 1.3738 - Accuracy: 0.2059 - F1: 0.1117
sub_29:Test (Best Model) - Loss: 1.5044 - Accuracy: 0.2059 - F1: 0.0854
sub_28:Test (Best Model) - Loss: 1.3661 - Accuracy: 0.2059 - F1: 0.0854
sub_29:Test (Best Model) - Loss: 1.3679 - Accuracy: 0.2500 - F1: 0.1546
sub_28:Test (Best Model) - Loss: 1.3810 - Accuracy: 0.2206 - F1: 0.1127
sub_29:Test (Best Model) - Loss: 1.3888 - Accuracy: 0.2059 - F1: 0.0864
sub_28:Test (Best Model) - Loss: 1.3792 - Accuracy: 0.3088 - F1: 0.2102
sub_29:Test (Best Model) - Loss: 1.4251 - Accuracy: 0.1912 - F1: 0.0823
sub_29:Test (Best Model) - Loss: 1.3715 - Accuracy: 0.2059 - F1: 0.0854
sub_28:Test (Best Model) - Loss: 1.3907 - Accuracy: 0.2353 - F1: 0.1626
sub_28:Test (Best Model) - Loss: 1.4936 - Accuracy: 0.3971 - F1: 0.2703
sub_29:Test (Best Model) - Loss: 1.3884 - Accuracy: 0.3382 - F1: 0.2473
sub_28:Test (Best Model) - Loss: 1.4180 - Accuracy: 0.4265 - F1: 0.3505
sub_29:Test (Best Model) - Loss: 1.3695 - Accuracy: 0.4265 - F1: 0.2900
sub_29:Test (Best Model) - Loss: 1.7166 - Accuracy: 0.2206 - F1: 0.1127
sub_28:Test (Best Model) - Loss: 1.4308 - Accuracy: 0.4412 - F1: 0.3675
sub_29:Test (Best Model) - Loss: 1.5497 - Accuracy: 0.2500 - F1: 0.1579
sub_28:Test (Best Model) - Loss: 1.6312 - Accuracy: 0.2794 - F1: 0.1791
sub_29:Test (Best Model) - Loss: 1.5027 - Accuracy: 0.2174 - F1: 0.0893
sub_29:Test (Best Model) - Loss: 1.3132 - Accuracy: 0.2174 - F1: 0.0893
sub_28:Test (Best Model) - Loss: 1.4717 - Accuracy: 0.2941 - F1: 0.2258
sub_28:Test (Best Model) - Loss: 2.3128 - Accuracy: 0.3382 - F1: 0.2931
sub_29:Test (Best Model) - Loss: 1.5869 - Accuracy: 0.2319 - F1: 0.1379
sub_29:Test (Best Model) - Loss: 1.3917 - Accuracy: 0.2174 - F1: 0.0893
sub_28:Test (Best Model) - Loss: 1.5898 - Accuracy: 0.2647 - F1: 0.1111
sub_28:Test (Best Model) - Loss: 2.6057 - Accuracy: 0.2353 - F1: 0.2023
sub_29:Test (Best Model) - Loss: 1.4554 - Accuracy: 0.2319 - F1: 0.1340
sub_28:Test (Best Model) - Loss: 1.9802 - Accuracy: 0.1765 - F1: 0.1131
sub_28:Test (Best Model) - Loss: 1.9333 - Accuracy: 0.2353 - F1: 0.1187

=== Summary Results ===

acc: 30.05 ± 5.07
F1: 21.17 ± 5.96
acc-in: 38.97 ± 4.50
F1-in: 30.52 ± 5.15
runing time: 1960.65 seconds
