lr: 1e-05
sub_1:Test (Best Model) - Loss: 0.3980 - Accuracy: 0.2500 - F1: 0.1313
sub_1:Test (Best Model) - Loss: 0.3911 - Accuracy: 0.2500 - F1: 0.2040
sub_1:Test (Best Model) - Loss: 0.3971 - Accuracy: 0.1923 - F1: 0.1014
sub_1:Test (Best Model) - Loss: 0.3935 - Accuracy: 0.2500 - F1: 0.1549
sub_1:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.2308 - F1: 0.1162
sub_1:Test (Best Model) - Loss: 0.3986 - Accuracy: 0.1923 - F1: 0.0645
sub_1:Test (Best Model) - Loss: 0.3983 - Accuracy: 0.2115 - F1: 0.1274
sub_1:Test (Best Model) - Loss: 0.4003 - Accuracy: 0.2500 - F1: 0.1958
sub_1:Test (Best Model) - Loss: 0.3987 - Accuracy: 0.1538 - F1: 0.1023
sub_1:Test (Best Model) - Loss: 0.3986 - Accuracy: 0.1923 - F1: 0.0645
sub_1:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.2115 - F1: 0.1011
sub_1:Test (Best Model) - Loss: 0.3925 - Accuracy: 0.3269 - F1: 0.2590
sub_1:Test (Best Model) - Loss: 0.3983 - Accuracy: 0.2500 - F1: 0.1454
sub_1:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.2115 - F1: 0.0698
sub_1:Test (Best Model) - Loss: 0.3986 - Accuracy: 0.1923 - F1: 0.0645
sub_2:Test (Best Model) - Loss: 0.3866 - Accuracy: 0.4231 - F1: 0.3288
sub_2:Test (Best Model) - Loss: 0.3967 - Accuracy: 0.3077 - F1: 0.1991
sub_2:Test (Best Model) - Loss: 0.3963 - Accuracy: 0.3654 - F1: 0.2423
sub_2:Test (Best Model) - Loss: 0.3919 - Accuracy: 0.3077 - F1: 0.2052
sub_2:Test (Best Model) - Loss: 0.3979 - Accuracy: 0.3269 - F1: 0.2547
sub_2:Test (Best Model) - Loss: 0.3706 - Accuracy: 0.3462 - F1: 0.2439
sub_2:Test (Best Model) - Loss: 0.3959 - Accuracy: 0.3462 - F1: 0.2871
sub_2:Test (Best Model) - Loss: 0.3900 - Accuracy: 0.4231 - F1: 0.3430
sub_2:Test (Best Model) - Loss: 0.3631 - Accuracy: 0.3654 - F1: 0.2514
sub_2:Test (Best Model) - Loss: 0.3836 - Accuracy: 0.2692 - F1: 0.1781
sub_2:Test (Best Model) - Loss: 0.3895 - Accuracy: 0.3269 - F1: 0.2190
sub_2:Test (Best Model) - Loss: 0.3877 - Accuracy: 0.3269 - F1: 0.1910
sub_2:Test (Best Model) - Loss: 0.3917 - Accuracy: 0.2885 - F1: 0.1733
sub_2:Test (Best Model) - Loss: 0.3984 - Accuracy: 0.2115 - F1: 0.1524
sub_2:Test (Best Model) - Loss: 0.3864 - Accuracy: 0.2885 - F1: 0.1709
sub_3:Test (Best Model) - Loss: 0.4036 - Accuracy: 0.1923 - F1: 0.0656
sub_3:Test (Best Model) - Loss: 0.3973 - Accuracy: 0.2308 - F1: 0.1053
sub_3:Test (Best Model) - Loss: 0.3974 - Accuracy: 0.2692 - F1: 0.1724
sub_3:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.2308 - F1: 0.1029
sub_3:Test (Best Model) - Loss: 0.3969 - Accuracy: 0.2885 - F1: 0.2108
sub_3:Test (Best Model) - Loss: 0.3958 - Accuracy: 0.2692 - F1: 0.1462
sub_3:Test (Best Model) - Loss: 0.3984 - Accuracy: 0.2308 - F1: 0.2064
sub_3:Test (Best Model) - Loss: 0.3986 - Accuracy: 0.1923 - F1: 0.0893
sub_3:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.1923 - F1: 0.0645
sub_3:Test (Best Model) - Loss: 0.3983 - Accuracy: 0.2500 - F1: 0.1936
sub_3:Test (Best Model) - Loss: 0.3969 - Accuracy: 0.2308 - F1: 0.1768
sub_3:Test (Best Model) - Loss: 0.3954 - Accuracy: 0.2885 - F1: 0.2071
sub_3:Test (Best Model) - Loss: 0.3997 - Accuracy: 0.1923 - F1: 0.1305
sub_3:Test (Best Model) - Loss: 0.3966 - Accuracy: 0.2692 - F1: 0.2268
sub_3:Test (Best Model) - Loss: 0.4002 - Accuracy: 0.2500 - F1: 0.1625
sub_4:Test (Best Model) - Loss: 0.3742 - Accuracy: 0.3654 - F1: 0.2589
sub_4:Test (Best Model) - Loss: 0.3820 - Accuracy: 0.3269 - F1: 0.2000
sub_4:Test (Best Model) - Loss: 0.3923 - Accuracy: 0.3462 - F1: 0.2611
sub_4:Test (Best Model) - Loss: 0.3848 - Accuracy: 0.4038 - F1: 0.2587
sub_4:Test (Best Model) - Loss: 0.3943 - Accuracy: 0.3846 - F1: 0.2945
sub_4:Test (Best Model) - Loss: 0.3943 - Accuracy: 0.2885 - F1: 0.1964
sub_4:Test (Best Model) - Loss: 0.3874 - Accuracy: 0.3654 - F1: 0.2569
sub_4:Test (Best Model) - Loss: 0.3957 - Accuracy: 0.2500 - F1: 0.1612
sub_4:Test (Best Model) - Loss: 0.3968 - Accuracy: 0.3654 - F1: 0.3035
sub_4:Test (Best Model) - Loss: 0.3968 - Accuracy: 0.3654 - F1: 0.2338
sub_4:Test (Best Model) - Loss: 0.3756 - Accuracy: 0.3269 - F1: 0.2025
sub_4:Test (Best Model) - Loss: 0.3974 - Accuracy: 0.3269 - F1: 0.2409
sub_4:Test (Best Model) - Loss: 0.3962 - Accuracy: 0.2885 - F1: 0.1645
sub_4:Test (Best Model) - Loss: 0.3838 - Accuracy: 0.3077 - F1: 0.2059
sub_4:Test (Best Model) - Loss: 0.3947 - Accuracy: 0.3462 - F1: 0.2032
sub_5:Test (Best Model) - Loss: 0.3897 - Accuracy: 0.1923 - F1: 0.1201
sub_5:Test (Best Model) - Loss: 0.3973 - Accuracy: 0.2692 - F1: 0.2130
sub_5:Test (Best Model) - Loss: 0.3947 - Accuracy: 0.3077 - F1: 0.2182
sub_5:Test (Best Model) - Loss: 0.3933 - Accuracy: 0.3654 - F1: 0.3137
sub_5:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.2308 - F1: 0.1783
sub_5:Test (Best Model) - Loss: 0.3734 - Accuracy: 0.3654 - F1: 0.2661
sub_5:Test (Best Model) - Loss: 0.3910 - Accuracy: 0.2692 - F1: 0.1965
sub_5:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.3077 - F1: 0.1754
sub_5:Test (Best Model) - Loss: 0.3983 - Accuracy: 0.2692 - F1: 0.1989
sub_5:Test (Best Model) - Loss: 0.3961 - Accuracy: 0.3269 - F1: 0.2600
sub_5:Test (Best Model) - Loss: 0.3984 - Accuracy: 0.2308 - F1: 0.1950
sub_5:Test (Best Model) - Loss: 0.3981 - Accuracy: 0.2692 - F1: 0.1552
sub_5:Test (Best Model) - Loss: 0.3934 - Accuracy: 0.3269 - F1: 0.2780
sub_5:Test (Best Model) - Loss: 0.3981 - Accuracy: 0.2692 - F1: 0.2119
sub_5:Test (Best Model) - Loss: 0.3885 - Accuracy: 0.2308 - F1: 0.1244
sub_6:Test (Best Model) - Loss: 0.3980 - Accuracy: 0.2692 - F1: 0.1935
sub_6:Test (Best Model) - Loss: 0.3983 - Accuracy: 0.2692 - F1: 0.1804
sub_6:Test (Best Model) - Loss: 0.3986 - Accuracy: 0.1923 - F1: 0.1060
sub_6:Test (Best Model) - Loss: 0.3969 - Accuracy: 0.2115 - F1: 0.1242
sub_6:Test (Best Model) - Loss: 0.3938 - Accuracy: 0.2885 - F1: 0.1831
sub_6:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.1923 - F1: 0.0645
sub_6:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.2500 - F1: 0.1981
sub_6:Test (Best Model) - Loss: 0.3982 - Accuracy: 0.2115 - F1: 0.1549
sub_6:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.2692 - F1: 0.1544
sub_6:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.2115 - F1: 0.0710
sub_6:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.1538 - F1: 0.0750
sub_6:Test (Best Model) - Loss: 0.3951 - Accuracy: 0.3077 - F1: 0.1881
sub_6:Test (Best Model) - Loss: 0.3986 - Accuracy: 0.1731 - F1: 0.1397
sub_6:Test (Best Model) - Loss: 0.3980 - Accuracy: 0.2885 - F1: 0.1646
sub_6:Test (Best Model) - Loss: 0.3986 - Accuracy: 0.1923 - F1: 0.0645
sub_7:Test (Best Model) - Loss: 0.3986 - Accuracy: 0.1923 - F1: 0.0645
sub_7:Test (Best Model) - Loss: 0.3933 - Accuracy: 0.2308 - F1: 0.1820
sub_7:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.2885 - F1: 0.1659
sub_7:Test (Best Model) - Loss: 0.3954 - Accuracy: 0.3077 - F1: 0.2597
sub_7:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.2308 - F1: 0.1153
sub_7:Test (Best Model) - Loss: 0.3912 - Accuracy: 0.3269 - F1: 0.2355
sub_7:Test (Best Model) - Loss: 0.3869 - Accuracy: 0.3077 - F1: 0.2333
sub_7:Test (Best Model) - Loss: 0.3960 - Accuracy: 0.2500 - F1: 0.1718
sub_7:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.2500 - F1: 0.1568
sub_7:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.1923 - F1: 0.0645
sub_7:Test (Best Model) - Loss: 0.3980 - Accuracy: 0.2692 - F1: 0.1802
sub_7:Test (Best Model) - Loss: 0.3971 - Accuracy: 0.3077 - F1: 0.2341
sub_7:Test (Best Model) - Loss: 0.3963 - Accuracy: 0.3077 - F1: 0.2449
sub_7:Test (Best Model) - Loss: 0.3983 - Accuracy: 0.2692 - F1: 0.2059
sub_7:Test (Best Model) - Loss: 0.3941 - Accuracy: 0.2500 - F1: 0.1423
sub_8:Test (Best Model) - Loss: 0.3886 - Accuracy: 0.3846 - F1: 0.2574
sub_8:Test (Best Model) - Loss: 0.3911 - Accuracy: 0.3654 - F1: 0.2389
sub_8:Test (Best Model) - Loss: 0.3900 - Accuracy: 0.3654 - F1: 0.2247
sub_8:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.3846 - F1: 0.2433
sub_8:Test (Best Model) - Loss: 0.3981 - Accuracy: 0.3846 - F1: 0.2458
sub_8:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.1731 - F1: 0.0919
sub_8:Test (Best Model) - Loss: 0.3703 - Accuracy: 0.3654 - F1: 0.2219
sub_8:Test (Best Model) - Loss: 0.3730 - Accuracy: 0.4038 - F1: 0.2784
sub_8:Test (Best Model) - Loss: 0.3851 - Accuracy: 0.3077 - F1: 0.2667
sub_8:Test (Best Model) - Loss: 0.3621 - Accuracy: 0.4038 - F1: 0.3042
sub_8:Test (Best Model) - Loss: 0.3805 - Accuracy: 0.3654 - F1: 0.2070
sub_8:Test (Best Model) - Loss: 0.3955 - Accuracy: 0.4038 - F1: 0.2447
sub_8:Test (Best Model) - Loss: 0.3945 - Accuracy: 0.4038 - F1: 0.2982
sub_8:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.3077 - F1: 0.1912
sub_8:Test (Best Model) - Loss: 0.3975 - Accuracy: 0.4038 - F1: 0.3476
sub_9:Test (Best Model) - Loss: 0.3789 - Accuracy: 0.3269 - F1: 0.1912
sub_9:Test (Best Model) - Loss: 0.3718 - Accuracy: 0.4038 - F1: 0.2631
sub_9:Test (Best Model) - Loss: 0.3911 - Accuracy: 0.4423 - F1: 0.3863
sub_9:Test (Best Model) - Loss: 0.3869 - Accuracy: 0.3654 - F1: 0.2386
sub_9:Test (Best Model) - Loss: 0.3865 - Accuracy: 0.3654 - F1: 0.2217
sub_9:Test (Best Model) - Loss: 0.3937 - Accuracy: 0.3269 - F1: 0.2226
sub_9:Test (Best Model) - Loss: 0.3844 - Accuracy: 0.2885 - F1: 0.1714
sub_9:Test (Best Model) - Loss: 0.3968 - Accuracy: 0.3269 - F1: 0.2317
sub_9:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.3077 - F1: 0.2271
sub_9:Test (Best Model) - Loss: 0.3723 - Accuracy: 0.3654 - F1: 0.2508
sub_9:Test (Best Model) - Loss: 0.3957 - Accuracy: 0.3654 - F1: 0.2421
sub_9:Test (Best Model) - Loss: 0.3967 - Accuracy: 0.2885 - F1: 0.1952
sub_9:Test (Best Model) - Loss: 0.3937 - Accuracy: 0.4231 - F1: 0.3562
sub_9:Test (Best Model) - Loss: 0.3925 - Accuracy: 0.4231 - F1: 0.3632
sub_9:Test (Best Model) - Loss: 0.3959 - Accuracy: 0.3269 - F1: 0.2651
sub_10:Test (Best Model) - Loss: 0.3956 - Accuracy: 0.3077 - F1: 0.2055
sub_10:Test (Best Model) - Loss: 0.3984 - Accuracy: 0.1731 - F1: 0.0877
sub_10:Test (Best Model) - Loss: 0.3984 - Accuracy: 0.3269 - F1: 0.1997
sub_10:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.2308 - F1: 0.1321
sub_10:Test (Best Model) - Loss: 0.3983 - Accuracy: 0.3077 - F1: 0.2332
sub_10:Test (Best Model) - Loss: 0.3910 - Accuracy: 0.2885 - F1: 0.2439
sub_10:Test (Best Model) - Loss: 0.3886 - Accuracy: 0.2692 - F1: 0.2018
sub_10:Test (Best Model) - Loss: 0.3984 - Accuracy: 0.3077 - F1: 0.1737
sub_10:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.1731 - F1: 0.0959
sub_10:Test (Best Model) - Loss: 0.3984 - Accuracy: 0.2692 - F1: 0.1766
sub_10:Test (Best Model) - Loss: 0.3966 - Accuracy: 0.1923 - F1: 0.1319
sub_10:Test (Best Model) - Loss: 0.3979 - Accuracy: 0.2500 - F1: 0.1723
sub_10:Test (Best Model) - Loss: 0.4005 - Accuracy: 0.1923 - F1: 0.1154
sub_10:Test (Best Model) - Loss: 0.3946 - Accuracy: 0.3269 - F1: 0.2162
sub_10:Test (Best Model) - Loss: 0.3951 - Accuracy: 0.2692 - F1: 0.1665
sub_11:Test (Best Model) - Loss: 0.3933 - Accuracy: 0.2500 - F1: 0.1829
sub_11:Test (Best Model) - Loss: 0.3634 - Accuracy: 0.3269 - F1: 0.1862
sub_11:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.2885 - F1: 0.2096
sub_11:Test (Best Model) - Loss: 0.3943 - Accuracy: 0.2308 - F1: 0.2039
sub_11:Test (Best Model) - Loss: 0.3967 - Accuracy: 0.3654 - F1: 0.2890
sub_11:Test (Best Model) - Loss: 0.3881 - Accuracy: 0.2692 - F1: 0.1699
sub_11:Test (Best Model) - Loss: 0.3851 - Accuracy: 0.3846 - F1: 0.2788
sub_11:Test (Best Model) - Loss: 0.3959 - Accuracy: 0.3462 - F1: 0.2029
sub_11:Test (Best Model) - Loss: 0.3953 - Accuracy: 0.2692 - F1: 0.1824
sub_11:Test (Best Model) - Loss: 0.3921 - Accuracy: 0.3077 - F1: 0.1890
sub_11:Test (Best Model) - Loss: 0.3843 - Accuracy: 0.2500 - F1: 0.1477
sub_11:Test (Best Model) - Loss: 0.3931 - Accuracy: 0.3269 - F1: 0.2691
sub_11:Test (Best Model) - Loss: 0.3805 - Accuracy: 0.3462 - F1: 0.3167
sub_11:Test (Best Model) - Loss: 0.3747 - Accuracy: 0.3462 - F1: 0.2278
sub_11:Test (Best Model) - Loss: 0.3981 - Accuracy: 0.2308 - F1: 0.1672
sub_12:Test (Best Model) - Loss: 0.3969 - Accuracy: 0.2308 - F1: 0.1880
sub_12:Test (Best Model) - Loss: 0.3937 - Accuracy: 0.3462 - F1: 0.3030
sub_12:Test (Best Model) - Loss: 0.3965 - Accuracy: 0.2115 - F1: 0.1692
sub_12:Test (Best Model) - Loss: 0.3928 - Accuracy: 0.3269 - F1: 0.2236
sub_12:Test (Best Model) - Loss: 0.3986 - Accuracy: 0.2115 - F1: 0.0733
sub_12:Test (Best Model) - Loss: 0.3956 - Accuracy: 0.2692 - F1: 0.2035
sub_12:Test (Best Model) - Loss: 0.3902 - Accuracy: 0.3462 - F1: 0.3185
sub_12:Test (Best Model) - Loss: 0.3986 - Accuracy: 0.1731 - F1: 0.0632
sub_12:Test (Best Model) - Loss: 0.3763 - Accuracy: 0.3269 - F1: 0.2315
sub_12:Test (Best Model) - Loss: 0.3984 - Accuracy: 0.2500 - F1: 0.1607
sub_12:Test (Best Model) - Loss: 0.3975 - Accuracy: 0.2115 - F1: 0.1000
sub_12:Test (Best Model) - Loss: 0.3944 - Accuracy: 0.2308 - F1: 0.1184
sub_12:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.2500 - F1: 0.1870
sub_12:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.2885 - F1: 0.1952
sub_12:Test (Best Model) - Loss: 0.3964 - Accuracy: 0.2308 - F1: 0.1500
sub_13:Test (Best Model) - Loss: 0.3967 - Accuracy: 0.2692 - F1: 0.1706
sub_13:Test (Best Model) - Loss: 0.3927 - Accuracy: 0.3077 - F1: 0.1843
sub_13:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.2692 - F1: 0.1615
sub_13:Test (Best Model) - Loss: 0.3985 - Accuracy: 0.2500 - F1: 0.1511
sub_13:Test (Best Model) - Loss: 0.3886 - Accuracy: 0.2885 - F1: 0.1977
sub_13:Test (Best Model) - Loss: 0.3835 - Accuracy: 0.3077 - F1: 0.2009
sub_13:Test (Best Model) - Loss: 0.3977 - Accuracy: 0.2692 - F1: 0.2147
sub_13:Test (Best Model) - Loss: 0.3855 - Accuracy: 0.2692 - F1: 0.1651
sub_13:Test (Best Model) - Loss: 0.3940 - Accuracy: 0.4231 - F1: 0.2976
sub_13:Test (Best Model) - Loss: 0.3981 - Accuracy: 0.2308 - F1: 0.1458
sub_13:Test (Best Model) - Loss: 0.3930 - Accuracy: 0.3654 - F1: 0.2637
sub_13:Test (Best Model) - Loss: 0.3936 - Accuracy: 0.4231 - F1: 0.3179
sub_13:Test (Best Model) - Loss: 0.3902 - Accuracy: 0.3269 - F1: 0.2255
sub_13:Test (Best Model) - Loss: 0.3948 - Accuracy: 0.3269 - F1: 0.2332
sub_13:Test (Best Model) - Loss: 0.3957 - Accuracy: 0.3077 - F1: 0.1671
sub_14:Test (Best Model) - Loss: 0.3964 - Accuracy: 0.4038 - F1: 0.3193
sub_14:Test (Best Model) - Loss: 0.3978 - Accuracy: 0.2692 - F1: 0.1756
sub_14:Test (Best Model) - Loss: 0.3979 - Accuracy: 0.3077 - F1: 0.1800
sub_14:Test (Best Model) - Loss: 0.3801 - Accuracy: 0.3462 - F1: 0.2167
sub_14:Test (Best Model) - Loss: 0.3944 - Accuracy: 0.3077 - F1: 0.2312
sub_14:Test (Best Model) - Loss: 0.3718 - Accuracy: 0.3654 - F1: 0.2137
sub_14:Test (Best Model) - Loss: 0.3688 - Accuracy: 0.3462 - F1: 0.2056
sub_14:Test (Best Model) - Loss: 0.3975 - Accuracy: 0.3269 - F1: 0.2103
sub_14:Test (Best Model) - Loss: 0.3917 - Accuracy: 0.2885 - F1: 0.1900
sub_14:Test (Best Model) - Loss: 0.3977 - Accuracy: 0.4615 - F1: 0.3918
sub_14:Test (Best Model) - Loss: 0.3744 - Accuracy: 0.3269 - F1: 0.2352
sub_14:Test (Best Model) - Loss: 0.3887 - Accuracy: 0.3077 - F1: 0.1875
sub_14:Test (Best Model) - Loss: 0.3889 - Accuracy: 0.2692 - F1: 0.1536
sub_14:Test (Best Model) - Loss: 0.3936 - Accuracy: 0.2692 - F1: 0.1584
sub_14:Test (Best Model) - Loss: 0.3933 - Accuracy: 0.2885 - F1: 0.1679

=== Summary Results ===

acc:   29.16 ± 4.46
F1:    19.60 ± 3.84
acc‑in:36.67 ± 4.61
F1‑in: 26.52 ± 4.45
