lr: 1e-06
sub_5:Test (Best Model) - Loss: 1.3962 - Accuracy: 0.2500 - F1: 0.2649
sub_2:Test (Best Model) - Loss: 1.4342 - Accuracy: 0.2174 - F1: 0.2134
sub_3:Test (Best Model) - Loss: 1.3821 - Accuracy: 0.1765 - F1: 0.2406
sub_8:Test (Best Model) - Loss: 1.4029 - Accuracy: 0.2206 - F1: 0.2086
sub_27:Test (Best Model) - Loss: 1.3995 - Accuracy: 0.2464 - F1: 0.2186
sub_23:Test (Best Model) - Loss: 1.3572 - Accuracy: 0.3913 - F1: 0.3738
sub_10:Test (Best Model) - Loss: 1.3837 - Accuracy: 0.2353 - F1: 0.1854
sub_24:Test (Best Model) - Loss: 1.3847 - Accuracy: 0.2059 - F1: 0.1918
sub_16:Test (Best Model) - Loss: 1.3682 - Accuracy: 0.2941 - F1: 0.2827
sub_26:Test (Best Model) - Loss: 1.3880 - Accuracy: 0.2754 - F1: 0.2799
sub_21:Test (Best Model) - Loss: 1.4516 - Accuracy: 0.0441 - F1: 0.0577
sub_14:Test (Best Model) - Loss: 1.4274 - Accuracy: 0.1176 - F1: 0.0991
sub_28:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.2500 - F1: 0.1432
sub_29:Test (Best Model) - Loss: 1.3845 - Accuracy: 0.2794 - F1: 0.2943
sub_18:Test (Best Model) - Loss: 1.3764 - Accuracy: 0.2899 - F1: 0.3081
sub_20:Test (Best Model) - Loss: 1.3940 - Accuracy: 0.2941 - F1: 0.2892
sub_7:Test (Best Model) - Loss: 1.4011 - Accuracy: 0.1618 - F1: 0.1914
sub_15:Test (Best Model) - Loss: 1.3712 - Accuracy: 0.1912 - F1: 0.2182
sub_5:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.2794 - F1: 0.2251
sub_3:Test (Best Model) - Loss: 1.3551 - Accuracy: 0.3971 - F1: 0.3705
sub_25:Test (Best Model) - Loss: 1.4154 - Accuracy: 0.1739 - F1: 0.2059
sub_11:Test (Best Model) - Loss: 1.4338 - Accuracy: 0.0725 - F1: 0.0724
sub_9:Test (Best Model) - Loss: 1.3602 - Accuracy: 0.2941 - F1: 0.3026
sub_13:Test (Best Model) - Loss: 1.4153 - Accuracy: 0.1176 - F1: 0.0949
sub_17:Test (Best Model) - Loss: 1.3995 - Accuracy: 0.2464 - F1: 0.2186
sub_6:Test (Best Model) - Loss: 1.4379 - Accuracy: 0.1471 - F1: 0.1181
sub_22:Test (Best Model) - Loss: 1.3270 - Accuracy: 0.3382 - F1: 0.3542
sub_19:Test (Best Model) - Loss: 1.3430 - Accuracy: 0.3824 - F1: 0.3584
sub_8:Test (Best Model) - Loss: 1.4322 - Accuracy: 0.1324 - F1: 0.1099
sub_4:Test (Best Model) - Loss: 1.3866 - Accuracy: 0.2319 - F1: 0.2599
sub_1:Test (Best Model) - Loss: 1.3664 - Accuracy: 0.3235 - F1: 0.3464
sub_23:Test (Best Model) - Loss: 1.3907 - Accuracy: 0.2609 - F1: 0.2011
sub_12:Test (Best Model) - Loss: 1.4014 - Accuracy: 0.2353 - F1: 0.2169
sub_24:Test (Best Model) - Loss: 1.3825 - Accuracy: 0.3088 - F1: 0.2612
sub_16:Test (Best Model) - Loss: 1.3708 - Accuracy: 0.3088 - F1: 0.2828
sub_14:Test (Best Model) - Loss: 1.3788 - Accuracy: 0.1912 - F1: 0.1378
sub_27:Test (Best Model) - Loss: 1.3877 - Accuracy: 0.2609 - F1: 0.2263
sub_21:Test (Best Model) - Loss: 1.4038 - Accuracy: 0.1324 - F1: 0.1125
sub_29:Test (Best Model) - Loss: 1.3916 - Accuracy: 0.2353 - F1: 0.1650
sub_10:Test (Best Model) - Loss: 1.4139 - Accuracy: 0.2794 - F1: 0.2040
sub_18:Test (Best Model) - Loss: 1.4210 - Accuracy: 0.0870 - F1: 0.0886
sub_20:Test (Best Model) - Loss: 1.3766 - Accuracy: 0.3382 - F1: 0.3017
sub_26:Test (Best Model) - Loss: 1.3934 - Accuracy: 0.2609 - F1: 0.2383
sub_15:Test (Best Model) - Loss: 1.3912 - Accuracy: 0.1912 - F1: 0.1731
sub_11:Test (Best Model) - Loss: 1.3681 - Accuracy: 0.4058 - F1: 0.3551
sub_22:Test (Best Model) - Loss: 1.4320 - Accuracy: 0.0735 - F1: 0.0629
sub_2:Test (Best Model) - Loss: 1.4108 - Accuracy: 0.1304 - F1: 0.1408
sub_6:Test (Best Model) - Loss: 1.3782 - Accuracy: 0.2206 - F1: 0.2030
sub_9:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.2353 - F1: 0.2144
sub_8:Test (Best Model) - Loss: 1.3874 - Accuracy: 0.2353 - F1: 0.1726
sub_4:Test (Best Model) - Loss: 1.3675 - Accuracy: 0.3188 - F1: 0.3015
sub_12:Test (Best Model) - Loss: 1.4041 - Accuracy: 0.1765 - F1: 0.1645
sub_23:Test (Best Model) - Loss: 1.3725 - Accuracy: 0.2899 - F1: 0.2449
sub_25:Test (Best Model) - Loss: 1.3925 - Accuracy: 0.1594 - F1: 0.1603
sub_7:Test (Best Model) - Loss: 1.3516 - Accuracy: 0.4265 - F1: 0.3587
sub_24:Test (Best Model) - Loss: 1.4066 - Accuracy: 0.2206 - F1: 0.2214
sub_28:Test (Best Model) - Loss: 1.3389 - Accuracy: 0.4853 - F1: 0.4503
sub_17:Test (Best Model) - Loss: 1.3877 - Accuracy: 0.2609 - F1: 0.2263
sub_1:Test (Best Model) - Loss: 1.3803 - Accuracy: 0.3235 - F1: 0.3317
sub_3:Test (Best Model) - Loss: 1.3527 - Accuracy: 0.4265 - F1: 0.3941
sub_27:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.2754 - F1: 0.2889
sub_16:Test (Best Model) - Loss: 1.4290 - Accuracy: 0.1324 - F1: 0.1149
sub_29:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.2794 - F1: 0.2646
sub_21:Test (Best Model) - Loss: 1.3953 - Accuracy: 0.1912 - F1: 0.1759
sub_19:Test (Best Model) - Loss: 1.3797 - Accuracy: 0.2647 - F1: 0.2221
sub_10:Test (Best Model) - Loss: 1.3929 - Accuracy: 0.2059 - F1: 0.1791
sub_13:Test (Best Model) - Loss: 1.3493 - Accuracy: 0.3529 - F1: 0.3086
sub_20:Test (Best Model) - Loss: 1.3705 - Accuracy: 0.2353 - F1: 0.2032
sub_26:Test (Best Model) - Loss: 1.3770 - Accuracy: 0.3188 - F1: 0.2938
sub_5:Test (Best Model) - Loss: 1.3656 - Accuracy: 0.3971 - F1: 0.4246
sub_11:Test (Best Model) - Loss: 1.4029 - Accuracy: 0.2174 - F1: 0.2141
sub_22:Test (Best Model) - Loss: 1.3914 - Accuracy: 0.1912 - F1: 0.1731
sub_2:Test (Best Model) - Loss: 1.4000 - Accuracy: 0.1594 - F1: 0.1511
sub_12:Test (Best Model) - Loss: 1.3676 - Accuracy: 0.2647 - F1: 0.2569
sub_8:Test (Best Model) - Loss: 1.3816 - Accuracy: 0.2500 - F1: 0.2191
sub_18:Test (Best Model) - Loss: 1.3725 - Accuracy: 0.2899 - F1: 0.2693
sub_14:Test (Best Model) - Loss: 1.3967 - Accuracy: 0.2353 - F1: 0.1731
sub_4:Test (Best Model) - Loss: 1.3963 - Accuracy: 0.1449 - F1: 0.1552
sub_23:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2319 - F1: 0.2110
sub_24:Test (Best Model) - Loss: 1.3688 - Accuracy: 0.3529 - F1: 0.3277
sub_28:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.2794 - F1: 0.2601
sub_9:Test (Best Model) - Loss: 1.3802 - Accuracy: 0.2794 - F1: 0.2691
sub_6:Test (Best Model) - Loss: 1.3873 - Accuracy: 0.2059 - F1: 0.2084
sub_16:Test (Best Model) - Loss: 1.3573 - Accuracy: 0.2647 - F1: 0.2468
sub_17:Test (Best Model) - Loss: 1.3844 - Accuracy: 0.2754 - F1: 0.2889
sub_7:Test (Best Model) - Loss: 1.3718 - Accuracy: 0.3382 - F1: 0.3076
sub_15:Test (Best Model) - Loss: 1.3923 - Accuracy: 0.1912 - F1: 0.1904
sub_1:Test (Best Model) - Loss: 1.3819 - Accuracy: 0.3088 - F1: 0.3135
sub_29:Test (Best Model) - Loss: 1.3743 - Accuracy: 0.2500 - F1: 0.2403
sub_19:Test (Best Model) - Loss: 1.3937 - Accuracy: 0.2941 - F1: 0.2537
sub_26:Test (Best Model) - Loss: 1.3883 - Accuracy: 0.2319 - F1: 0.2338
sub_3:Test (Best Model) - Loss: 1.3351 - Accuracy: 0.5000 - F1: 0.4764
sub_22:Test (Best Model) - Loss: 1.3806 - Accuracy: 0.1912 - F1: 0.2040
sub_11:Test (Best Model) - Loss: 1.3768 - Accuracy: 0.2464 - F1: 0.2155
sub_5:Test (Best Model) - Loss: 1.3551 - Accuracy: 0.4118 - F1: 0.3740
sub_12:Test (Best Model) - Loss: 1.3655 - Accuracy: 0.2647 - F1: 0.2764
sub_20:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2206 - F1: 0.2122
sub_21:Test (Best Model) - Loss: 1.3056 - Accuracy: 0.5588 - F1: 0.5630
sub_8:Test (Best Model) - Loss: 1.3858 - Accuracy: 0.2353 - F1: 0.2264
sub_10:Test (Best Model) - Loss: 1.3714 - Accuracy: 0.2941 - F1: 0.2643
sub_28:Test (Best Model) - Loss: 1.3940 - Accuracy: 0.2941 - F1: 0.2769
sub_2:Test (Best Model) - Loss: 1.3564 - Accuracy: 0.3333 - F1: 0.2533
sub_23:Test (Best Model) - Loss: 1.3636 - Accuracy: 0.3333 - F1: 0.2990
sub_16:Test (Best Model) - Loss: 1.4116 - Accuracy: 0.1029 - F1: 0.1044
sub_24:Test (Best Model) - Loss: 1.3977 - Accuracy: 0.2500 - F1: 0.2235
sub_6:Test (Best Model) - Loss: 1.3768 - Accuracy: 0.3088 - F1: 0.2859
sub_25:Test (Best Model) - Loss: 1.3932 - Accuracy: 0.2319 - F1: 0.2072
sub_27:Test (Best Model) - Loss: 1.3486 - Accuracy: 0.4348 - F1: 0.4329
sub_9:Test (Best Model) - Loss: 1.4004 - Accuracy: 0.2206 - F1: 0.2011
sub_13:Test (Best Model) - Loss: 1.4198 - Accuracy: 0.0735 - F1: 0.0658
sub_15:Test (Best Model) - Loss: 1.3529 - Accuracy: 0.3824 - F1: 0.3974
sub_7:Test (Best Model) - Loss: 1.3496 - Accuracy: 0.3382 - F1: 0.3462
sub_18:Test (Best Model) - Loss: 1.3522 - Accuracy: 0.4203 - F1: 0.4130
sub_4:Test (Best Model) - Loss: 1.3732 - Accuracy: 0.2754 - F1: 0.2467
sub_29:Test (Best Model) - Loss: 1.3937 - Accuracy: 0.1765 - F1: 0.1715
sub_12:Test (Best Model) - Loss: 1.3993 - Accuracy: 0.2206 - F1: 0.1713
sub_19:Test (Best Model) - Loss: 1.3855 - Accuracy: 0.2353 - F1: 0.1607
sub_3:Test (Best Model) - Loss: 1.3761 - Accuracy: 0.3088 - F1: 0.2908
sub_26:Test (Best Model) - Loss: 1.4028 - Accuracy: 0.1449 - F1: 0.1268
sub_5:Test (Best Model) - Loss: 1.3963 - Accuracy: 0.2206 - F1: 0.1931
sub_8:Test (Best Model) - Loss: 1.3929 - Accuracy: 0.2941 - F1: 0.2765
sub_14:Test (Best Model) - Loss: 1.3720 - Accuracy: 0.2647 - F1: 0.2270
sub_2:Test (Best Model) - Loss: 1.4380 - Accuracy: 0.1739 - F1: 0.1541
sub_24:Test (Best Model) - Loss: 1.3897 - Accuracy: 0.1765 - F1: 0.1813
sub_6:Test (Best Model) - Loss: 1.3763 - Accuracy: 0.2794 - F1: 0.2367
sub_23:Test (Best Model) - Loss: 1.3518 - Accuracy: 0.3824 - F1: 0.3422
sub_16:Test (Best Model) - Loss: 1.3605 - Accuracy: 0.3971 - F1: 0.3187
sub_11:Test (Best Model) - Loss: 1.3704 - Accuracy: 0.3043 - F1: 0.2828
sub_22:Test (Best Model) - Loss: 1.3635 - Accuracy: 0.2941 - F1: 0.2410
sub_13:Test (Best Model) - Loss: 1.3677 - Accuracy: 0.2794 - F1: 0.2152
sub_17:Test (Best Model) - Loss: 1.3486 - Accuracy: 0.4348 - F1: 0.4329
sub_25:Test (Best Model) - Loss: 1.3568 - Accuracy: 0.4638 - F1: 0.4552
sub_10:Test (Best Model) - Loss: 1.3906 - Accuracy: 0.2647 - F1: 0.1999
sub_28:Test (Best Model) - Loss: 1.4186 - Accuracy: 0.0882 - F1: 0.0799
sub_20:Test (Best Model) - Loss: 1.3713 - Accuracy: 0.3676 - F1: 0.2867
sub_4:Test (Best Model) - Loss: 1.3816 - Accuracy: 0.2464 - F1: 0.2191
sub_9:Test (Best Model) - Loss: 1.3765 - Accuracy: 0.2206 - F1: 0.2335
sub_21:Test (Best Model) - Loss: 1.3867 - Accuracy: 0.1765 - F1: 0.1676
sub_19:Test (Best Model) - Loss: 1.3579 - Accuracy: 0.3529 - F1: 0.3189
sub_2:Test (Best Model) - Loss: 1.3628 - Accuracy: 0.1765 - F1: 0.1872
sub_1:Test (Best Model) - Loss: 1.3755 - Accuracy: 0.2941 - F1: 0.2833
sub_15:Test (Best Model) - Loss: 1.4001 - Accuracy: 0.1765 - F1: 0.1361
sub_26:Test (Best Model) - Loss: 1.3765 - Accuracy: 0.3676 - F1: 0.3268
sub_14:Test (Best Model) - Loss: 1.3962 - Accuracy: 0.1765 - F1: 0.1383
sub_18:Test (Best Model) - Loss: 1.3659 - Accuracy: 0.2899 - F1: 0.2462
sub_7:Test (Best Model) - Loss: 1.3672 - Accuracy: 0.2647 - F1: 0.2344
sub_12:Test (Best Model) - Loss: 1.4430 - Accuracy: 0.1014 - F1: 0.1043
sub_22:Test (Best Model) - Loss: 1.3797 - Accuracy: 0.2319 - F1: 0.2190
sub_16:Test (Best Model) - Loss: 1.3440 - Accuracy: 0.3971 - F1: 0.3709
sub_29:Test (Best Model) - Loss: 1.3935 - Accuracy: 0.3676 - F1: 0.3053
sub_3:Test (Best Model) - Loss: 1.3905 - Accuracy: 0.2029 - F1: 0.1947
sub_27:Test (Best Model) - Loss: 1.3838 - Accuracy: 0.2754 - F1: 0.2292
sub_13:Test (Best Model) - Loss: 1.3913 - Accuracy: 0.2353 - F1: 0.2180
sub_24:Test (Best Model) - Loss: 1.4050 - Accuracy: 0.2353 - F1: 0.2155
sub_28:Test (Best Model) - Loss: 1.3830 - Accuracy: 0.2647 - F1: 0.2332
sub_5:Test (Best Model) - Loss: 1.3780 - Accuracy: 0.2206 - F1: 0.2307
sub_18:Test (Best Model) - Loss: 1.3736 - Accuracy: 0.2794 - F1: 0.2807
sub_11:Test (Best Model) - Loss: 1.3766 - Accuracy: 0.3478 - F1: 0.3255
sub_9:Test (Best Model) - Loss: 1.3966 - Accuracy: 0.1471 - F1: 0.1382
sub_19:Test (Best Model) - Loss: 1.4219 - Accuracy: 0.1618 - F1: 0.1419
sub_20:Test (Best Model) - Loss: 1.3525 - Accuracy: 0.3088 - F1: 0.3211
sub_21:Test (Best Model) - Loss: 1.3671 - Accuracy: 0.1765 - F1: 0.1825
sub_26:Test (Best Model) - Loss: 1.3576 - Accuracy: 0.3529 - F1: 0.2811
sub_8:Test (Best Model) - Loss: 1.3612 - Accuracy: 0.4118 - F1: 0.3562
sub_25:Test (Best Model) - Loss: 1.3508 - Accuracy: 0.4783 - F1: 0.4200
sub_23:Test (Best Model) - Loss: 1.4035 - Accuracy: 0.3235 - F1: 0.2997
sub_4:Test (Best Model) - Loss: 1.4176 - Accuracy: 0.1884 - F1: 0.1682
sub_1:Test (Best Model) - Loss: 1.4044 - Accuracy: 0.2059 - F1: 0.1825
sub_14:Test (Best Model) - Loss: 1.3867 - Accuracy: 0.2059 - F1: 0.1685
sub_6:Test (Best Model) - Loss: 1.3504 - Accuracy: 0.4203 - F1: 0.3979
sub_27:Test (Best Model) - Loss: 1.3952 - Accuracy: 0.2899 - F1: 0.2895
sub_16:Test (Best Model) - Loss: 1.3875 - Accuracy: 0.2500 - F1: 0.2429
sub_3:Test (Best Model) - Loss: 1.3726 - Accuracy: 0.3333 - F1: 0.3253
sub_22:Test (Best Model) - Loss: 1.3795 - Accuracy: 0.2609 - F1: 0.2017
sub_12:Test (Best Model) - Loss: 1.4016 - Accuracy: 0.2029 - F1: 0.1864
sub_2:Test (Best Model) - Loss: 1.3637 - Accuracy: 0.3971 - F1: 0.3530
sub_7:Test (Best Model) - Loss: 1.3729 - Accuracy: 0.2794 - F1: 0.2604
sub_19:Test (Best Model) - Loss: 1.3806 - Accuracy: 0.2794 - F1: 0.2159
sub_10:Test (Best Model) - Loss: 1.3836 - Accuracy: 0.2647 - F1: 0.1047
sub_9:Test (Best Model) - Loss: 1.3385 - Accuracy: 0.4559 - F1: 0.4069
sub_26:Test (Best Model) - Loss: 1.3651 - Accuracy: 0.4265 - F1: 0.4043
sub_17:Test (Best Model) - Loss: 1.3838 - Accuracy: 0.2754 - F1: 0.2292
sub_21:Test (Best Model) - Loss: 1.3897 - Accuracy: 0.2941 - F1: 0.2854
sub_24:Test (Best Model) - Loss: 1.3715 - Accuracy: 0.2941 - F1: 0.2916
sub_25:Test (Best Model) - Loss: 1.3627 - Accuracy: 0.3382 - F1: 0.3270
sub_20:Test (Best Model) - Loss: 1.4194 - Accuracy: 0.2500 - F1: 0.1914
sub_28:Test (Best Model) - Loss: 1.3767 - Accuracy: 0.3824 - F1: 0.3252
sub_8:Test (Best Model) - Loss: 1.4072 - Accuracy: 0.3088 - F1: 0.2477
sub_15:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.2794 - F1: 0.2763
sub_29:Test (Best Model) - Loss: 1.3781 - Accuracy: 0.3235 - F1: 0.2807
sub_13:Test (Best Model) - Loss: 1.3878 - Accuracy: 0.2464 - F1: 0.2020
sub_4:Test (Best Model) - Loss: 1.3588 - Accuracy: 0.3333 - F1: 0.3001
sub_5:Test (Best Model) - Loss: 1.3322 - Accuracy: 0.5147 - F1: 0.4229
sub_23:Test (Best Model) - Loss: 1.3960 - Accuracy: 0.2206 - F1: 0.2005
sub_3:Test (Best Model) - Loss: 1.3564 - Accuracy: 0.4348 - F1: 0.4248
sub_10:Test (Best Model) - Loss: 1.3771 - Accuracy: 0.3824 - F1: 0.2515
sub_18:Test (Best Model) - Loss: 1.3537 - Accuracy: 0.3824 - F1: 0.2578
sub_16:Test (Best Model) - Loss: 1.3525 - Accuracy: 0.4265 - F1: 0.3923
sub_6:Test (Best Model) - Loss: 1.3798 - Accuracy: 0.3478 - F1: 0.2908
sub_14:Test (Best Model) - Loss: 1.3503 - Accuracy: 0.4559 - F1: 0.4363
sub_20:Test (Best Model) - Loss: 1.3875 - Accuracy: 0.2941 - F1: 0.2651
sub_28:Test (Best Model) - Loss: 1.3830 - Accuracy: 0.2500 - F1: 0.1672
sub_11:Test (Best Model) - Loss: 1.3824 - Accuracy: 0.2319 - F1: 0.2320
sub_24:Test (Best Model) - Loss: 1.3932 - Accuracy: 0.1765 - F1: 0.1623
sub_17:Test (Best Model) - Loss: 1.3952 - Accuracy: 0.2899 - F1: 0.2895
sub_25:Test (Best Model) - Loss: 1.3791 - Accuracy: 0.2794 - F1: 0.2844
sub_22:Test (Best Model) - Loss: 1.4056 - Accuracy: 0.2174 - F1: 0.2260
sub_9:Test (Best Model) - Loss: 1.3521 - Accuracy: 0.4559 - F1: 0.4285
sub_8:Test (Best Model) - Loss: 1.3501 - Accuracy: 0.4265 - F1: 0.3786
sub_1:Test (Best Model) - Loss: 1.3884 - Accuracy: 0.2319 - F1: 0.2071
sub_26:Test (Best Model) - Loss: 1.3529 - Accuracy: 0.3824 - F1: 0.3670
sub_27:Test (Best Model) - Loss: 1.3977 - Accuracy: 0.3188 - F1: 0.2748
sub_19:Test (Best Model) - Loss: 1.3939 - Accuracy: 0.1765 - F1: 0.1827
sub_13:Test (Best Model) - Loss: 1.4065 - Accuracy: 0.1594 - F1: 0.1514
sub_12:Test (Best Model) - Loss: 1.4087 - Accuracy: 0.1014 - F1: 0.0754
sub_7:Test (Best Model) - Loss: 1.3887 - Accuracy: 0.2500 - F1: 0.1891
sub_29:Test (Best Model) - Loss: 1.4021 - Accuracy: 0.1324 - F1: 0.1305
sub_14:Test (Best Model) - Loss: 1.3469 - Accuracy: 0.4412 - F1: 0.3931
sub_3:Test (Best Model) - Loss: 1.3366 - Accuracy: 0.4638 - F1: 0.4717
sub_2:Test (Best Model) - Loss: 1.3239 - Accuracy: 0.4853 - F1: 0.4075
sub_16:Test (Best Model) - Loss: 1.4165 - Accuracy: 0.1618 - F1: 0.1582
sub_21:Test (Best Model) - Loss: 1.3675 - Accuracy: 0.3382 - F1: 0.3225
sub_18:Test (Best Model) - Loss: 1.4246 - Accuracy: 0.2794 - F1: 0.2154
sub_4:Test (Best Model) - Loss: 1.4250 - Accuracy: 0.1014 - F1: 0.1153
sub_5:Test (Best Model) - Loss: 1.3834 - Accuracy: 0.1765 - F1: 0.1780
sub_24:Test (Best Model) - Loss: 1.3765 - Accuracy: 0.2647 - F1: 0.2498
sub_11:Test (Best Model) - Loss: 1.3862 - Accuracy: 0.2899 - F1: 0.2841
sub_15:Test (Best Model) - Loss: 1.4108 - Accuracy: 0.2206 - F1: 0.1919
sub_25:Test (Best Model) - Loss: 1.3615 - Accuracy: 0.4265 - F1: 0.4194
sub_23:Test (Best Model) - Loss: 1.3820 - Accuracy: 0.3971 - F1: 0.3721
sub_8:Test (Best Model) - Loss: 1.3801 - Accuracy: 0.1324 - F1: 0.1173
sub_10:Test (Best Model) - Loss: 1.3860 - Accuracy: 0.2794 - F1: 0.1335
sub_28:Test (Best Model) - Loss: 1.4081 - Accuracy: 0.2647 - F1: 0.1611
sub_22:Test (Best Model) - Loss: 1.3657 - Accuracy: 0.3623 - F1: 0.3189
sub_1:Test (Best Model) - Loss: 1.3900 - Accuracy: 0.2899 - F1: 0.2882
sub_27:Test (Best Model) - Loss: 1.3674 - Accuracy: 0.3043 - F1: 0.2809
sub_13:Test (Best Model) - Loss: 1.3738 - Accuracy: 0.3188 - F1: 0.2829
sub_20:Test (Best Model) - Loss: 1.3942 - Accuracy: 0.3382 - F1: 0.2868
sub_14:Test (Best Model) - Loss: 1.3402 - Accuracy: 0.3235 - F1: 0.2647
sub_12:Test (Best Model) - Loss: 1.3448 - Accuracy: 0.4493 - F1: 0.4301
sub_29:Test (Best Model) - Loss: 1.3372 - Accuracy: 0.5147 - F1: 0.4784
sub_9:Test (Best Model) - Loss: 1.3171 - Accuracy: 0.6029 - F1: 0.5742
sub_6:Test (Best Model) - Loss: 1.3664 - Accuracy: 0.3913 - F1: 0.3305
sub_3:Test (Best Model) - Loss: 1.3741 - Accuracy: 0.3913 - F1: 0.3771
sub_2:Test (Best Model) - Loss: 1.3866 - Accuracy: 0.2647 - F1: 0.2050
sub_19:Test (Best Model) - Loss: 1.3552 - Accuracy: 0.3088 - F1: 0.2712
sub_16:Test (Best Model) - Loss: 1.3906 - Accuracy: 0.2941 - F1: 0.2731
sub_4:Test (Best Model) - Loss: 1.3577 - Accuracy: 0.3913 - F1: 0.3239
sub_23:Test (Best Model) - Loss: 1.3594 - Accuracy: 0.3382 - F1: 0.3006
sub_21:Test (Best Model) - Loss: 1.3560 - Accuracy: 0.3676 - F1: 0.3406
sub_15:Test (Best Model) - Loss: 1.3575 - Accuracy: 0.2353 - F1: 0.2301
sub_17:Test (Best Model) - Loss: 1.3977 - Accuracy: 0.3188 - F1: 0.2748
sub_26:Test (Best Model) - Loss: 1.3510 - Accuracy: 0.3971 - F1: 0.3608
sub_10:Test (Best Model) - Loss: 1.3752 - Accuracy: 0.2500 - F1: 0.1049
sub_28:Test (Best Model) - Loss: 1.4138 - Accuracy: 0.1471 - F1: 0.1320
sub_11:Test (Best Model) - Loss: 1.3935 - Accuracy: 0.2609 - F1: 0.2224
sub_18:Test (Best Model) - Loss: 1.3555 - Accuracy: 0.3676 - F1: 0.3247
sub_27:Test (Best Model) - Loss: 1.3650 - Accuracy: 0.3043 - F1: 0.2871
sub_14:Test (Best Model) - Loss: 1.3971 - Accuracy: 0.1324 - F1: 0.1403
sub_12:Test (Best Model) - Loss: 1.3826 - Accuracy: 0.2319 - F1: 0.1916
sub_8:Test (Best Model) - Loss: 1.4062 - Accuracy: 0.1912 - F1: 0.1840
sub_20:Test (Best Model) - Loss: 1.3689 - Accuracy: 0.2941 - F1: 0.2205
sub_5:Test (Best Model) - Loss: 1.3918 - Accuracy: 0.2206 - F1: 0.1358
sub_24:Test (Best Model) - Loss: 1.4317 - Accuracy: 0.1912 - F1: 0.1886
sub_6:Test (Best Model) - Loss: 1.3666 - Accuracy: 0.3913 - F1: 0.3339
sub_29:Test (Best Model) - Loss: 1.4001 - Accuracy: 0.1176 - F1: 0.1405
sub_4:Test (Best Model) - Loss: 1.3870 - Accuracy: 0.3043 - F1: 0.2292
sub_2:Test (Best Model) - Loss: 1.3567 - Accuracy: 0.3676 - F1: 0.2914
sub_1:Test (Best Model) - Loss: 1.3755 - Accuracy: 0.2754 - F1: 0.2674
sub_3:Test (Best Model) - Loss: 1.3814 - Accuracy: 0.3478 - F1: 0.3331
sub_16:Test (Best Model) - Loss: 1.4139 - Accuracy: 0.1912 - F1: 0.1542
sub_22:Test (Best Model) - Loss: 1.3656 - Accuracy: 0.2174 - F1: 0.1698
sub_13:Test (Best Model) - Loss: 1.3736 - Accuracy: 0.2464 - F1: 0.1799
sub_25:Test (Best Model) - Loss: 1.3143 - Accuracy: 0.5588 - F1: 0.5064
sub_21:Test (Best Model) - Loss: 1.3661 - Accuracy: 0.2941 - F1: 0.3025
sub_7:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.1618 - F1: 0.1628
sub_10:Test (Best Model) - Loss: 1.3779 - Accuracy: 0.2647 - F1: 0.1084
sub_9:Test (Best Model) - Loss: 1.3673 - Accuracy: 0.2206 - F1: 0.2103
sub_28:Test (Best Model) - Loss: 1.4234 - Accuracy: 0.1029 - F1: 0.0759
sub_17:Test (Best Model) - Loss: 1.3674 - Accuracy: 0.3043 - F1: 0.2809
sub_26:Test (Best Model) - Loss: 1.4312 - Accuracy: 0.0588 - F1: 0.0599
sub_18:Test (Best Model) - Loss: 1.3578 - Accuracy: 0.3676 - F1: 0.3001
sub_8:Test (Best Model) - Loss: 1.4237 - Accuracy: 0.1618 - F1: 0.1261
sub_19:Test (Best Model) - Loss: 1.4106 - Accuracy: 0.1471 - F1: 0.1391
sub_12:Test (Best Model) - Loss: 1.3889 - Accuracy: 0.2206 - F1: 0.1835
sub_20:Test (Best Model) - Loss: 1.4015 - Accuracy: 0.2464 - F1: 0.2063
sub_27:Test (Best Model) - Loss: 1.3988 - Accuracy: 0.2609 - F1: 0.2077
sub_15:Test (Best Model) - Loss: 1.3273 - Accuracy: 0.4853 - F1: 0.4560
sub_5:Test (Best Model) - Loss: 1.3252 - Accuracy: 0.4265 - F1: 0.3984
sub_23:Test (Best Model) - Loss: 1.3687 - Accuracy: 0.3623 - F1: 0.3177
sub_11:Test (Best Model) - Loss: 1.3628 - Accuracy: 0.2899 - F1: 0.2570
sub_6:Test (Best Model) - Loss: 1.3413 - Accuracy: 0.3768 - F1: 0.2816
sub_29:Test (Best Model) - Loss: 1.3947 - Accuracy: 0.2319 - F1: 0.1900
sub_4:Test (Best Model) - Loss: 1.3791 - Accuracy: 0.2174 - F1: 0.1756
sub_3:Test (Best Model) - Loss: 1.4493 - Accuracy: 0.2029 - F1: 0.1103
sub_2:Test (Best Model) - Loss: 1.4034 - Accuracy: 0.2174 - F1: 0.1788
sub_1:Test (Best Model) - Loss: 1.3356 - Accuracy: 0.4493 - F1: 0.4362
sub_16:Test (Best Model) - Loss: 1.3776 - Accuracy: 0.3088 - F1: 0.2692
sub_25:Test (Best Model) - Loss: 1.3658 - Accuracy: 0.3088 - F1: 0.3097
sub_14:Test (Best Model) - Loss: 1.3981 - Accuracy: 0.2059 - F1: 0.1773
sub_21:Test (Best Model) - Loss: 1.4137 - Accuracy: 0.2206 - F1: 0.2090
sub_13:Test (Best Model) - Loss: 1.3783 - Accuracy: 0.2609 - F1: 0.2310
sub_7:Test (Best Model) - Loss: 1.3560 - Accuracy: 0.3824 - F1: 0.3545
sub_22:Test (Best Model) - Loss: 1.3676 - Accuracy: 0.2647 - F1: 0.2420
sub_10:Test (Best Model) - Loss: 1.3747 - Accuracy: 0.3043 - F1: 0.2264
sub_24:Test (Best Model) - Loss: 1.4133 - Accuracy: 0.1912 - F1: 0.1578
sub_17:Test (Best Model) - Loss: 1.3650 - Accuracy: 0.3043 - F1: 0.2871
sub_28:Test (Best Model) - Loss: 1.4281 - Accuracy: 0.1765 - F1: 0.1218
sub_8:Test (Best Model) - Loss: 1.3733 - Accuracy: 0.2206 - F1: 0.2353
sub_26:Test (Best Model) - Loss: 1.4470 - Accuracy: 0.0735 - F1: 0.0962
sub_12:Test (Best Model) - Loss: 1.4257 - Accuracy: 0.1618 - F1: 0.1219
sub_19:Test (Best Model) - Loss: 1.4211 - Accuracy: 0.1471 - F1: 0.1412
sub_23:Test (Best Model) - Loss: 1.4171 - Accuracy: 0.0870 - F1: 0.1074
sub_15:Test (Best Model) - Loss: 1.3587 - Accuracy: 0.3382 - F1: 0.3336
sub_5:Test (Best Model) - Loss: 1.3815 - Accuracy: 0.2206 - F1: 0.1989
sub_27:Test (Best Model) - Loss: 1.3564 - Accuracy: 0.3676 - F1: 0.3360
sub_11:Test (Best Model) - Loss: 1.3966 - Accuracy: 0.2754 - F1: 0.2064
sub_3:Test (Best Model) - Loss: 1.3450 - Accuracy: 0.4203 - F1: 0.3883
sub_20:Test (Best Model) - Loss: 1.4152 - Accuracy: 0.2029 - F1: 0.2036
sub_25:Test (Best Model) - Loss: 1.4061 - Accuracy: 0.2206 - F1: 0.2044
sub_18:Test (Best Model) - Loss: 1.4134 - Accuracy: 0.2647 - F1: 0.1805
sub_29:Test (Best Model) - Loss: 1.4206 - Accuracy: 0.1159 - F1: 0.1069
sub_24:Test (Best Model) - Loss: 1.3630 - Accuracy: 0.3235 - F1: 0.3027
sub_22:Test (Best Model) - Loss: 1.4159 - Accuracy: 0.1029 - F1: 0.1170
sub_9:Test (Best Model) - Loss: 1.3548 - Accuracy: 0.3971 - F1: 0.3539
sub_21:Test (Best Model) - Loss: 1.4077 - Accuracy: 0.2500 - F1: 0.2300
sub_14:Test (Best Model) - Loss: 1.3782 - Accuracy: 0.2647 - F1: 0.2399
sub_28:Test (Best Model) - Loss: 1.3972 - Accuracy: 0.1471 - F1: 0.1707
sub_13:Test (Best Model) - Loss: 1.3719 - Accuracy: 0.3088 - F1: 0.2075
sub_1:Test (Best Model) - Loss: 1.3829 - Accuracy: 0.2754 - F1: 0.2436
sub_8:Test (Best Model) - Loss: 1.3735 - Accuracy: 0.2500 - F1: 0.2377
sub_17:Test (Best Model) - Loss: 1.3988 - Accuracy: 0.2609 - F1: 0.2077
sub_2:Test (Best Model) - Loss: 1.4266 - Accuracy: 0.2174 - F1: 0.1399
sub_26:Test (Best Model) - Loss: 1.3496 - Accuracy: 0.4706 - F1: 0.4565
sub_4:Test (Best Model) - Loss: 1.4386 - Accuracy: 0.1014 - F1: 0.1130
sub_19:Test (Best Model) - Loss: 1.4513 - Accuracy: 0.1912 - F1: 0.1699
sub_23:Test (Best Model) - Loss: 1.3790 - Accuracy: 0.3188 - F1: 0.2719
sub_27:Test (Best Model) - Loss: 1.4375 - Accuracy: 0.1765 - F1: 0.1241
sub_3:Test (Best Model) - Loss: 1.3935 - Accuracy: 0.2174 - F1: 0.1969
sub_5:Test (Best Model) - Loss: 1.4210 - Accuracy: 0.2794 - F1: 0.2333
sub_16:Test (Best Model) - Loss: 1.3699 - Accuracy: 0.2941 - F1: 0.2740
sub_10:Test (Best Model) - Loss: 1.4246 - Accuracy: 0.1594 - F1: 0.1279
sub_11:Test (Best Model) - Loss: 1.4449 - Accuracy: 0.0435 - F1: 0.0391
sub_18:Test (Best Model) - Loss: 1.3593 - Accuracy: 0.4265 - F1: 0.3495
sub_6:Test (Best Model) - Loss: 1.4304 - Accuracy: 0.0580 - F1: 0.0647
sub_24:Test (Best Model) - Loss: 1.3964 - Accuracy: 0.2647 - F1: 0.1882
sub_25:Test (Best Model) - Loss: 1.4286 - Accuracy: 0.0882 - F1: 0.1016
sub_7:Test (Best Model) - Loss: 1.3445 - Accuracy: 0.3088 - F1: 0.2240
sub_22:Test (Best Model) - Loss: 1.3880 - Accuracy: 0.3088 - F1: 0.2777
sub_12:Test (Best Model) - Loss: 1.4127 - Accuracy: 0.1471 - F1: 0.1219
sub_21:Test (Best Model) - Loss: 1.3894 - Accuracy: 0.2500 - F1: 0.2295
sub_14:Test (Best Model) - Loss: 1.3515 - Accuracy: 0.3971 - F1: 0.3394
sub_9:Test (Best Model) - Loss: 1.4334 - Accuracy: 0.1618 - F1: 0.1109
sub_29:Test (Best Model) - Loss: 1.3679 - Accuracy: 0.2174 - F1: 0.2041
sub_1:Test (Best Model) - Loss: 1.4020 - Accuracy: 0.1618 - F1: 0.1592
sub_20:Test (Best Model) - Loss: 1.3693 - Accuracy: 0.2899 - F1: 0.2989
sub_8:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.3235 - F1: 0.3079
sub_17:Test (Best Model) - Loss: 1.3564 - Accuracy: 0.3676 - F1: 0.3360
sub_19:Test (Best Model) - Loss: 1.3729 - Accuracy: 0.3088 - F1: 0.2908
sub_27:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.2647 - F1: 0.2577
sub_23:Test (Best Model) - Loss: 1.3485 - Accuracy: 0.2609 - F1: 0.2171
sub_15:Test (Best Model) - Loss: 1.3786 - Accuracy: 0.2059 - F1: 0.1569
sub_3:Test (Best Model) - Loss: 1.3890 - Accuracy: 0.2464 - F1: 0.1872
sub_5:Test (Best Model) - Loss: 1.3708 - Accuracy: 0.2500 - F1: 0.2691
sub_4:Test (Best Model) - Loss: 1.3994 - Accuracy: 0.2174 - F1: 0.1937
sub_24:Test (Best Model) - Loss: 1.4030 - Accuracy: 0.1912 - F1: 0.1876
sub_10:Test (Best Model) - Loss: 1.3469 - Accuracy: 0.3188 - F1: 0.2608
sub_26:Test (Best Model) - Loss: 1.3502 - Accuracy: 0.3235 - F1: 0.3209
sub_28:Test (Best Model) - Loss: 1.3785 - Accuracy: 0.2353 - F1: 0.2064
sub_11:Test (Best Model) - Loss: 1.3999 - Accuracy: 0.3333 - F1: 0.2581
sub_16:Test (Best Model) - Loss: 1.3360 - Accuracy: 0.4412 - F1: 0.3814
sub_7:Test (Best Model) - Loss: 1.3783 - Accuracy: 0.3382 - F1: 0.2540
sub_22:Test (Best Model) - Loss: 1.3904 - Accuracy: 0.2647 - F1: 0.2271
sub_2:Test (Best Model) - Loss: 1.3675 - Accuracy: 0.3043 - F1: 0.2763
sub_14:Test (Best Model) - Loss: 1.3539 - Accuracy: 0.3235 - F1: 0.2895
sub_12:Test (Best Model) - Loss: 1.3747 - Accuracy: 0.3529 - F1: 0.3011
sub_13:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.1765 - F1: 0.0956
sub_9:Test (Best Model) - Loss: 1.3416 - Accuracy: 0.5441 - F1: 0.4846
sub_18:Test (Best Model) - Loss: 1.3619 - Accuracy: 0.3235 - F1: 0.3094
sub_1:Test (Best Model) - Loss: 1.4185 - Accuracy: 0.1912 - F1: 0.1723
sub_20:Test (Best Model) - Loss: 1.3868 - Accuracy: 0.3333 - F1: 0.2951
sub_6:Test (Best Model) - Loss: 1.4355 - Accuracy: 0.1014 - F1: 0.1063
sub_25:Test (Best Model) - Loss: 1.3932 - Accuracy: 0.3088 - F1: 0.2812
sub_17:Test (Best Model) - Loss: 1.4375 - Accuracy: 0.1765 - F1: 0.1241
sub_4:Test (Best Model) - Loss: 1.3797 - Accuracy: 0.3188 - F1: 0.3293
sub_21:Test (Best Model) - Loss: 1.3775 - Accuracy: 0.2059 - F1: 0.2214
sub_10:Test (Best Model) - Loss: 1.4051 - Accuracy: 0.2319 - F1: 0.2166
sub_27:Test (Best Model) - Loss: 1.3806 - Accuracy: 0.2794 - F1: 0.2282
sub_19:Test (Best Model) - Loss: 1.3599 - Accuracy: 0.3824 - F1: 0.3533
sub_15:Test (Best Model) - Loss: 1.4118 - Accuracy: 0.2206 - F1: 0.1905
sub_23:Test (Best Model) - Loss: 1.3825 - Accuracy: 0.2174 - F1: 0.2243
sub_26:Test (Best Model) - Loss: 1.3451 - Accuracy: 0.4412 - F1: 0.4237
sub_28:Test (Best Model) - Loss: 1.3559 - Accuracy: 0.4412 - F1: 0.2905
sub_7:Test (Best Model) - Loss: 1.4397 - Accuracy: 0.1324 - F1: 0.0927
sub_12:Test (Best Model) - Loss: 1.3780 - Accuracy: 0.2794 - F1: 0.2661
sub_29:Test (Best Model) - Loss: 1.4236 - Accuracy: 0.1884 - F1: 0.1221
sub_14:Test (Best Model) - Loss: 1.3806 - Accuracy: 0.1176 - F1: 0.1337
sub_13:Test (Best Model) - Loss: 1.3975 - Accuracy: 0.3235 - F1: 0.2086
sub_18:Test (Best Model) - Loss: 1.3946 - Accuracy: 0.2500 - F1: 0.2667
sub_9:Test (Best Model) - Loss: 1.4312 - Accuracy: 0.2353 - F1: 0.1982
sub_20:Test (Best Model) - Loss: 1.3267 - Accuracy: 0.4928 - F1: 0.4490
sub_22:Test (Best Model) - Loss: 1.3686 - Accuracy: 0.3235 - F1: 0.2494
sub_1:Test (Best Model) - Loss: 1.3754 - Accuracy: 0.3382 - F1: 0.2945
sub_25:Test (Best Model) - Loss: 1.3689 - Accuracy: 0.3088 - F1: 0.3022
sub_11:Test (Best Model) - Loss: 1.3704 - Accuracy: 0.2899 - F1: 0.2862
sub_2:Test (Best Model) - Loss: 1.4254 - Accuracy: 0.1884 - F1: 0.1490
sub_21:Test (Best Model) - Loss: 1.3402 - Accuracy: 0.3971 - F1: 0.3173
sub_27:Test (Best Model) - Loss: 1.3613 - Accuracy: 0.3676 - F1: 0.2722
sub_17:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.2647 - F1: 0.2577
sub_15:Test (Best Model) - Loss: 1.3906 - Accuracy: 0.2794 - F1: 0.2457
sub_19:Test (Best Model) - Loss: 1.3395 - Accuracy: 0.3676 - F1: 0.3417
sub_4:Test (Best Model) - Loss: 1.3447 - Accuracy: 0.5072 - F1: 0.4542
sub_10:Test (Best Model) - Loss: 1.3562 - Accuracy: 0.4058 - F1: 0.3603
sub_6:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.2029 - F1: 0.2008
sub_7:Test (Best Model) - Loss: 1.3865 - Accuracy: 0.1912 - F1: 0.0878
sub_5:Test (Best Model) - Loss: 1.4096 - Accuracy: 0.2206 - F1: 0.1854
sub_11:Test (Best Model) - Loss: 1.3467 - Accuracy: 0.3188 - F1: 0.2063
sub_18:Test (Best Model) - Loss: 1.3607 - Accuracy: 0.4706 - F1: 0.4708
sub_29:Test (Best Model) - Loss: 1.3746 - Accuracy: 0.3913 - F1: 0.2944
sub_15:Test (Best Model) - Loss: 1.3576 - Accuracy: 0.3088 - F1: 0.2437
sub_2:Test (Best Model) - Loss: 1.3816 - Accuracy: 0.1884 - F1: 0.1741
sub_17:Test (Best Model) - Loss: 1.3806 - Accuracy: 0.2794 - F1: 0.2282
sub_6:Test (Best Model) - Loss: 1.4118 - Accuracy: 0.2029 - F1: 0.1688
sub_1:Test (Best Model) - Loss: 1.3704 - Accuracy: 0.3382 - F1: 0.3504
sub_9:Test (Best Model) - Loss: 1.3598 - Accuracy: 0.3235 - F1: 0.2130
sub_13:Test (Best Model) - Loss: 1.3886 - Accuracy: 0.2353 - F1: 0.2058
sub_25:Test (Best Model) - Loss: 1.3245 - Accuracy: 0.5441 - F1: 0.5192
sub_6:Test (Best Model) - Loss: 1.3332 - Accuracy: 0.4783 - F1: 0.4442
sub_7:Test (Best Model) - Loss: 1.4234 - Accuracy: 0.1471 - F1: 0.1067
sub_17:Test (Best Model) - Loss: 1.3613 - Accuracy: 0.3676 - F1: 0.2722
sub_1:Test (Best Model) - Loss: 1.3302 - Accuracy: 0.4559 - F1: 0.4405
sub_13:Test (Best Model) - Loss: 1.3859 - Accuracy: 0.2647 - F1: 0.2454
sub_15:Test (Best Model) - Loss: 1.3473 - Accuracy: 0.3382 - F1: 0.2261
sub_5:Test (Best Model) - Loss: 1.3350 - Accuracy: 0.4412 - F1: 0.3379
sub_7:Test (Best Model) - Loss: 1.3264 - Accuracy: 0.4412 - F1: 0.3779

=== Summary Results ===

acc: 27.75 ± 2.79
F1: 24.79 ± 3.27
acc-in: 30.03 ± 2.24
F1-in: 28.21 ± 2.13
