lr: 0.001
sub_9:Test (Best Model) - Loss: 1.4893 - Accuracy: 0.3762 - F1: 0.2904
sub_2:Test (Best Model) - Loss: 2.0174 - Accuracy: 0.4238 - F1: 0.3790
sub_3:Test (Best Model) - Loss: 1.3581 - Accuracy: 0.4190 - F1: 0.3652
sub_4:Test (Best Model) - Loss: 1.4887 - Accuracy: 0.4571 - F1: 0.4480
sub_7:Test (Best Model) - Loss: 2.4295 - Accuracy: 0.2476 - F1: 0.2045
sub_10:Test (Best Model) - Loss: 3.5271 - Accuracy: 0.2762 - F1: 0.2006
sub_1:Test (Best Model) - Loss: 1.6780 - Accuracy: 0.4571 - F1: 0.3839
sub_8:Test (Best Model) - Loss: 1.1609 - Accuracy: 0.4333 - F1: 0.4020
sub_5:Test (Best Model) - Loss: 3.1935 - Accuracy: 0.3190 - F1: 0.2621
sub_2:Test (Best Model) - Loss: 1.2444 - Accuracy: 0.4381 - F1: 0.4101
sub_6:Test (Best Model) - Loss: 4.5649 - Accuracy: 0.2619 - F1: 0.1972
sub_4:Test (Best Model) - Loss: 1.5335 - Accuracy: 0.4190 - F1: 0.4220
sub_10:Test (Best Model) - Loss: 1.5800 - Accuracy: 0.4048 - F1: 0.3547
sub_1:Test (Best Model) - Loss: 1.8437 - Accuracy: 0.4190 - F1: 0.3279
sub_9:Test (Best Model) - Loss: 1.3582 - Accuracy: 0.4667 - F1: 0.4243
sub_8:Test (Best Model) - Loss: 1.3294 - Accuracy: 0.4238 - F1: 0.4157
sub_7:Test (Best Model) - Loss: 2.9493 - Accuracy: 0.2143 - F1: 0.1083
sub_2:Test (Best Model) - Loss: 1.4057 - Accuracy: 0.4333 - F1: 0.3939
sub_3:Test (Best Model) - Loss: 1.2057 - Accuracy: 0.4000 - F1: 0.3425
sub_6:Test (Best Model) - Loss: 2.7540 - Accuracy: 0.2000 - F1: 0.1272
sub_10:Test (Best Model) - Loss: 1.2338 - Accuracy: 0.4000 - F1: 0.3677
sub_5:Test (Best Model) - Loss: 2.4341 - Accuracy: 0.2905 - F1: 0.2473
sub_1:Test (Best Model) - Loss: 1.4730 - Accuracy: 0.4048 - F1: 0.3557
sub_8:Test (Best Model) - Loss: 1.3316 - Accuracy: 0.4238 - F1: 0.3646
sub_9:Test (Best Model) - Loss: 1.2849 - Accuracy: 0.4286 - F1: 0.3635
sub_4:Test (Best Model) - Loss: 2.0659 - Accuracy: 0.4190 - F1: 0.3444
sub_6:Test (Best Model) - Loss: 1.9719 - Accuracy: 0.3524 - F1: 0.3325
sub_10:Test (Best Model) - Loss: 1.2801 - Accuracy: 0.4000 - F1: 0.3711
sub_3:Test (Best Model) - Loss: 1.2623 - Accuracy: 0.3571 - F1: 0.3110
sub_8:Test (Best Model) - Loss: 1.7040 - Accuracy: 0.4190 - F1: 0.3611
sub_2:Test (Best Model) - Loss: 5.9246 - Accuracy: 0.2190 - F1: 0.1090
sub_10:Test (Best Model) - Loss: 1.3996 - Accuracy: 0.3952 - F1: 0.3633
sub_7:Test (Best Model) - Loss: 2.7898 - Accuracy: 0.1810 - F1: 0.0710
sub_3:Test (Best Model) - Loss: 1.3960 - Accuracy: 0.3238 - F1: 0.2722
sub_1:Test (Best Model) - Loss: 1.2375 - Accuracy: 0.4619 - F1: 0.4160
sub_4:Test (Best Model) - Loss: 1.4621 - Accuracy: 0.4333 - F1: 0.3780
sub_9:Test (Best Model) - Loss: 1.1534 - Accuracy: 0.4524 - F1: 0.4131
sub_8:Test (Best Model) - Loss: 0.9707 - Accuracy: 0.5476 - F1: 0.4774
sub_5:Test (Best Model) - Loss: 2.6276 - Accuracy: 0.4333 - F1: 0.3997
sub_7:Test (Best Model) - Loss: 2.3685 - Accuracy: 0.2095 - F1: 0.1054
sub_3:Test (Best Model) - Loss: 1.6122 - Accuracy: 0.2810 - F1: 0.2693
sub_2:Test (Best Model) - Loss: 1.5610 - Accuracy: 0.4667 - F1: 0.4465
sub_10:Test (Best Model) - Loss: 1.2173 - Accuracy: 0.4095 - F1: 0.4027
sub_8:Test (Best Model) - Loss: 1.2362 - Accuracy: 0.4857 - F1: 0.4784
sub_6:Test (Best Model) - Loss: 3.1402 - Accuracy: 0.1524 - F1: 0.1137
sub_9:Test (Best Model) - Loss: 2.7678 - Accuracy: 0.4048 - F1: 0.3531
sub_1:Test (Best Model) - Loss: 1.5823 - Accuracy: 0.4048 - F1: 0.3268
sub_7:Test (Best Model) - Loss: 2.8206 - Accuracy: 0.1857 - F1: 0.1080
sub_4:Test (Best Model) - Loss: 2.1867 - Accuracy: 0.4524 - F1: 0.4093
sub_5:Test (Best Model) - Loss: 3.4758 - Accuracy: 0.3381 - F1: 0.2866
sub_3:Test (Best Model) - Loss: 1.7803 - Accuracy: 0.3857 - F1: 0.3481
sub_10:Test (Best Model) - Loss: 2.4929 - Accuracy: 0.3048 - F1: 0.2005
sub_6:Test (Best Model) - Loss: 2.0923 - Accuracy: 0.1905 - F1: 0.1664
sub_9:Test (Best Model) - Loss: 1.3545 - Accuracy: 0.4429 - F1: 0.4375
sub_1:Test (Best Model) - Loss: 1.1948 - Accuracy: 0.4571 - F1: 0.4374
sub_8:Test (Best Model) - Loss: 1.0480 - Accuracy: 0.5000 - F1: 0.4605
sub_7:Test (Best Model) - Loss: 1.2829 - Accuracy: 0.4048 - F1: 0.4015
sub_2:Test (Best Model) - Loss: 2.7435 - Accuracy: 0.3095 - F1: 0.2389
sub_6:Test (Best Model) - Loss: 1.6139 - Accuracy: 0.3381 - F1: 0.3108
sub_1:Test (Best Model) - Loss: 1.2133 - Accuracy: 0.4571 - F1: 0.4568
sub_3:Test (Best Model) - Loss: 1.2992 - Accuracy: 0.3667 - F1: 0.2949
sub_5:Test (Best Model) - Loss: 5.1933 - Accuracy: 0.2952 - F1: 0.2225
sub_10:Test (Best Model) - Loss: 1.2149 - Accuracy: 0.4619 - F1: 0.4659
sub_4:Test (Best Model) - Loss: 1.3828 - Accuracy: 0.4571 - F1: 0.4348
sub_2:Test (Best Model) - Loss: 2.5396 - Accuracy: 0.2810 - F1: 0.2036
sub_9:Test (Best Model) - Loss: 2.2164 - Accuracy: 0.3524 - F1: 0.3478
sub_8:Test (Best Model) - Loss: 1.1091 - Accuracy: 0.4905 - F1: 0.4752
sub_6:Test (Best Model) - Loss: 2.0724 - Accuracy: 0.3524 - F1: 0.3606
sub_7:Test (Best Model) - Loss: 1.9566 - Accuracy: 0.3333 - F1: 0.2773
sub_3:Test (Best Model) - Loss: 1.4118 - Accuracy: 0.3238 - F1: 0.3272
sub_1:Test (Best Model) - Loss: 1.1855 - Accuracy: 0.5000 - F1: 0.4732
sub_10:Test (Best Model) - Loss: 1.3495 - Accuracy: 0.4381 - F1: 0.4325
sub_4:Test (Best Model) - Loss: 3.2386 - Accuracy: 0.3333 - F1: 0.2472
sub_8:Test (Best Model) - Loss: 1.1014 - Accuracy: 0.4667 - F1: 0.4332
sub_5:Test (Best Model) - Loss: 3.3875 - Accuracy: 0.3143 - F1: 0.2368
sub_2:Test (Best Model) - Loss: 1.2246 - Accuracy: 0.4524 - F1: 0.4268
sub_3:Test (Best Model) - Loss: 1.3378 - Accuracy: 0.4190 - F1: 0.3752
sub_1:Test (Best Model) - Loss: 1.1664 - Accuracy: 0.4857 - F1: 0.4849
sub_9:Test (Best Model) - Loss: 1.6831 - Accuracy: 0.3381 - F1: 0.3246
sub_7:Test (Best Model) - Loss: 2.2051 - Accuracy: 0.3429 - F1: 0.2881
sub_8:Test (Best Model) - Loss: 1.1242 - Accuracy: 0.4952 - F1: 0.4945
sub_5:Test (Best Model) - Loss: 2.1227 - Accuracy: 0.3857 - F1: 0.3623
sub_10:Test (Best Model) - Loss: 2.0400 - Accuracy: 0.4762 - F1: 0.4725
sub_2:Test (Best Model) - Loss: 1.9103 - Accuracy: 0.3286 - F1: 0.2791
sub_4:Test (Best Model) - Loss: 3.4636 - Accuracy: 0.3619 - F1: 0.2790
sub_3:Test (Best Model) - Loss: 1.3759 - Accuracy: 0.3429 - F1: 0.3440
sub_6:Test (Best Model) - Loss: 3.7319 - Accuracy: 0.2333 - F1: 0.1875
sub_7:Test (Best Model) - Loss: 1.2612 - Accuracy: 0.4143 - F1: 0.3745
sub_1:Test (Best Model) - Loss: 1.6689 - Accuracy: 0.3667 - F1: 0.3126
sub_10:Test (Best Model) - Loss: 1.7261 - Accuracy: 0.2429 - F1: 0.1855
sub_5:Test (Best Model) - Loss: 2.3730 - Accuracy: 0.3619 - F1: 0.3326
sub_2:Test (Best Model) - Loss: 2.2989 - Accuracy: 0.3143 - F1: 0.2692
sub_8:Test (Best Model) - Loss: 1.5068 - Accuracy: 0.3762 - F1: 0.3630
sub_3:Test (Best Model) - Loss: 1.4807 - Accuracy: 0.3048 - F1: 0.2678
sub_4:Test (Best Model) - Loss: 2.1941 - Accuracy: 0.3762 - F1: 0.2931
sub_9:Test (Best Model) - Loss: 2.2308 - Accuracy: 0.3857 - F1: 0.3749
sub_6:Test (Best Model) - Loss: 1.7425 - Accuracy: 0.3524 - F1: 0.3434
sub_7:Test (Best Model) - Loss: 2.6486 - Accuracy: 0.3190 - F1: 0.2642
sub_5:Test (Best Model) - Loss: 1.8044 - Accuracy: 0.3667 - F1: 0.3436
sub_1:Test (Best Model) - Loss: 1.3106 - Accuracy: 0.4762 - F1: 0.4578
sub_10:Test (Best Model) - Loss: 1.7648 - Accuracy: 0.2667 - F1: 0.2451
sub_8:Test (Best Model) - Loss: 1.6777 - Accuracy: 0.4143 - F1: 0.3435
sub_9:Test (Best Model) - Loss: 2.2247 - Accuracy: 0.3571 - F1: 0.2983
sub_4:Test (Best Model) - Loss: 1.2471 - Accuracy: 0.3952 - F1: 0.3724
sub_3:Test (Best Model) - Loss: 1.9728 - Accuracy: 0.2810 - F1: 0.2491
sub_10:Test (Best Model) - Loss: 1.5521 - Accuracy: 0.2571 - F1: 0.2219
sub_1:Test (Best Model) - Loss: 2.1626 - Accuracy: 0.3476 - F1: 0.2864
sub_7:Test (Best Model) - Loss: 2.1672 - Accuracy: 0.3143 - F1: 0.3130
sub_5:Test (Best Model) - Loss: 2.4959 - Accuracy: 0.3000 - F1: 0.2892
sub_3:Test (Best Model) - Loss: 1.2871 - Accuracy: 0.3476 - F1: 0.3229
sub_6:Test (Best Model) - Loss: 3.1348 - Accuracy: 0.3238 - F1: 0.2888
sub_2:Test (Best Model) - Loss: 1.4755 - Accuracy: 0.4429 - F1: 0.4203
sub_10:Test (Best Model) - Loss: 2.1042 - Accuracy: 0.2381 - F1: 0.2282
sub_8:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.4333 - F1: 0.3945
sub_9:Test (Best Model) - Loss: 1.2073 - Accuracy: 0.4524 - F1: 0.4280
sub_6:Test (Best Model) - Loss: 2.3720 - Accuracy: 0.2762 - F1: 0.2613
sub_7:Test (Best Model) - Loss: 1.9631 - Accuracy: 0.3286 - F1: 0.2709
sub_3:Test (Best Model) - Loss: 1.7464 - Accuracy: 0.2571 - F1: 0.2425
sub_10:Test (Best Model) - Loss: 1.6237 - Accuracy: 0.3190 - F1: 0.3234
sub_1:Test (Best Model) - Loss: 2.3583 - Accuracy: 0.2905 - F1: 0.1801
sub_4:Test (Best Model) - Loss: 1.5471 - Accuracy: 0.4048 - F1: 0.3704
sub_5:Test (Best Model) - Loss: 2.5941 - Accuracy: 0.3381 - F1: 0.3106
sub_3:Test (Best Model) - Loss: 1.2747 - Accuracy: 0.3381 - F1: 0.3113
sub_2:Test (Best Model) - Loss: 1.5066 - Accuracy: 0.4286 - F1: 0.4317
sub_1:Test (Best Model) - Loss: 1.7624 - Accuracy: 0.3190 - F1: 0.2699
sub_8:Test (Best Model) - Loss: 1.5059 - Accuracy: 0.3857 - F1: 0.3662
sub_6:Test (Best Model) - Loss: 4.2993 - Accuracy: 0.2429 - F1: 0.1972
sub_9:Test (Best Model) - Loss: 1.3234 - Accuracy: 0.4381 - F1: 0.4028
sub_5:Test (Best Model) - Loss: 2.2199 - Accuracy: 0.3000 - F1: 0.2644
sub_4:Test (Best Model) - Loss: 3.4903 - Accuracy: 0.2476 - F1: 0.1758
sub_7:Test (Best Model) - Loss: 2.8769 - Accuracy: 0.2286 - F1: 0.2259
sub_1:Test (Best Model) - Loss: 5.4116 - Accuracy: 0.2190 - F1: 0.1015
sub_8:Test (Best Model) - Loss: 1.6698 - Accuracy: 0.4143 - F1: 0.3260
sub_2:Test (Best Model) - Loss: 1.1395 - Accuracy: 0.5095 - F1: 0.5132
sub_5:Test (Best Model) - Loss: 2.4402 - Accuracy: 0.3333 - F1: 0.2930
sub_6:Test (Best Model) - Loss: 3.4175 - Accuracy: 0.2429 - F1: 0.2326
sub_7:Test (Best Model) - Loss: 1.4585 - Accuracy: 0.2905 - F1: 0.2424
sub_9:Test (Best Model) - Loss: 1.2928 - Accuracy: 0.4048 - F1: 0.3869
sub_6:Test (Best Model) - Loss: 2.5568 - Accuracy: 0.2762 - F1: 0.2402
sub_2:Test (Best Model) - Loss: 1.6838 - Accuracy: 0.3857 - F1: 0.3330
sub_4:Test (Best Model) - Loss: 1.4290 - Accuracy: 0.4048 - F1: 0.3781
sub_5:Test (Best Model) - Loss: 2.7913 - Accuracy: 0.2571 - F1: 0.2509
sub_6:Test (Best Model) - Loss: 2.7852 - Accuracy: 0.2952 - F1: 0.2409
sub_9:Test (Best Model) - Loss: 1.6493 - Accuracy: 0.3619 - F1: 0.3171
sub_4:Test (Best Model) - Loss: 1.8882 - Accuracy: 0.2714 - F1: 0.2016
sub_7:Test (Best Model) - Loss: 1.6673 - Accuracy: 0.3571 - F1: 0.3065
sub_5:Test (Best Model) - Loss: 2.0365 - Accuracy: 0.3048 - F1: 0.3072
sub_2:Test (Best Model) - Loss: 1.1824 - Accuracy: 0.4429 - F1: 0.4270
sub_9:Test (Best Model) - Loss: 1.2078 - Accuracy: 0.5048 - F1: 0.4744
sub_4:Test (Best Model) - Loss: 2.0053 - Accuracy: 0.3524 - F1: 0.3371
sub_13:Test (Best Model) - Loss: 1.3681 - Accuracy: 0.3667 - F1: 0.3225
sub_13:Test (Best Model) - Loss: 1.7211 - Accuracy: 0.2905 - F1: 0.2218
sub_12:Test (Best Model) - Loss: 1.3403 - Accuracy: 0.4905 - F1: 0.4740
sub_14:Test (Best Model) - Loss: 1.8852 - Accuracy: 0.3429 - F1: 0.3480
sub_13:Test (Best Model) - Loss: 1.5988 - Accuracy: 0.2619 - F1: 0.1720
sub_11:Test (Best Model) - Loss: 1.7852 - Accuracy: 0.3381 - F1: 0.3562
sub_12:Test (Best Model) - Loss: 1.6365 - Accuracy: 0.4238 - F1: 0.3512
sub_13:Test (Best Model) - Loss: 1.4713 - Accuracy: 0.3190 - F1: 0.2394
sub_11:Test (Best Model) - Loss: 2.1923 - Accuracy: 0.3143 - F1: 0.2101
sub_13:Test (Best Model) - Loss: 1.3798 - Accuracy: 0.3429 - F1: 0.2542
sub_14:Test (Best Model) - Loss: 2.4561 - Accuracy: 0.3095 - F1: 0.3198
sub_12:Test (Best Model) - Loss: 1.3082 - Accuracy: 0.4762 - F1: 0.4697
sub_13:Test (Best Model) - Loss: 2.2478 - Accuracy: 0.2905 - F1: 0.2990
sub_11:Test (Best Model) - Loss: 2.0289 - Accuracy: 0.3381 - F1: 0.3152
sub_12:Test (Best Model) - Loss: 1.3610 - Accuracy: 0.3857 - F1: 0.3294
sub_14:Test (Best Model) - Loss: 1.1881 - Accuracy: 0.4762 - F1: 0.4517
sub_11:Test (Best Model) - Loss: 2.3138 - Accuracy: 0.2714 - F1: 0.2009
sub_13:Test (Best Model) - Loss: 2.2303 - Accuracy: 0.3762 - F1: 0.3567
sub_14:Test (Best Model) - Loss: 1.5757 - Accuracy: 0.4190 - F1: 0.4251
sub_12:Test (Best Model) - Loss: 1.3457 - Accuracy: 0.4333 - F1: 0.4026
sub_11:Test (Best Model) - Loss: 2.1875 - Accuracy: 0.3190 - F1: 0.2881
sub_13:Test (Best Model) - Loss: 1.5837 - Accuracy: 0.2429 - F1: 0.2050
sub_14:Test (Best Model) - Loss: 1.6630 - Accuracy: 0.3952 - F1: 0.4087
sub_12:Test (Best Model) - Loss: 1.5365 - Accuracy: 0.3952 - F1: 0.3389
sub_13:Test (Best Model) - Loss: 2.1118 - Accuracy: 0.3476 - F1: 0.3016
sub_11:Test (Best Model) - Loss: 2.7845 - Accuracy: 0.3429 - F1: 0.3463
sub_12:Test (Best Model) - Loss: 1.3013 - Accuracy: 0.4571 - F1: 0.3665
sub_13:Test (Best Model) - Loss: 1.5203 - Accuracy: 0.3381 - F1: 0.3218
sub_14:Test (Best Model) - Loss: 1.5445 - Accuracy: 0.4000 - F1: 0.3782
sub_11:Test (Best Model) - Loss: 1.4409 - Accuracy: 0.4000 - F1: 0.4022
sub_12:Test (Best Model) - Loss: 1.4504 - Accuracy: 0.4333 - F1: 0.3659
sub_14:Test (Best Model) - Loss: 1.7261 - Accuracy: 0.3571 - F1: 0.3198
sub_13:Test (Best Model) - Loss: 3.2610 - Accuracy: 0.2667 - F1: 0.1843
sub_11:Test (Best Model) - Loss: 3.6050 - Accuracy: 0.3095 - F1: 0.2754
sub_12:Test (Best Model) - Loss: 1.1595 - Accuracy: 0.4381 - F1: 0.3766
sub_14:Test (Best Model) - Loss: 2.1314 - Accuracy: 0.3857 - F1: 0.3516
sub_13:Test (Best Model) - Loss: 1.9518 - Accuracy: 0.2714 - F1: 0.1982
sub_11:Test (Best Model) - Loss: 1.4856 - Accuracy: 0.4048 - F1: 0.4133
sub_12:Test (Best Model) - Loss: 1.7548 - Accuracy: 0.3810 - F1: 0.2967
sub_11:Test (Best Model) - Loss: 1.3138 - Accuracy: 0.4571 - F1: 0.4211
sub_11:Test (Best Model) - Loss: 1.8652 - Accuracy: 0.3381 - F1: 0.3146
sub_13:Test (Best Model) - Loss: 1.5903 - Accuracy: 0.3857 - F1: 0.3525
sub_14:Test (Best Model) - Loss: 2.3135 - Accuracy: 0.3286 - F1: 0.3321
sub_12:Test (Best Model) - Loss: 2.3165 - Accuracy: 0.2619 - F1: 0.2166
sub_11:Test (Best Model) - Loss: 1.9400 - Accuracy: 0.2762 - F1: 0.2691
sub_13:Test (Best Model) - Loss: 1.6923 - Accuracy: 0.3000 - F1: 0.2484
sub_14:Test (Best Model) - Loss: 1.6782 - Accuracy: 0.4429 - F1: 0.4019
sub_13:Test (Best Model) - Loss: 1.2936 - Accuracy: 0.4048 - F1: 0.4026
sub_11:Test (Best Model) - Loss: 1.6303 - Accuracy: 0.3000 - F1: 0.3119
sub_12:Test (Best Model) - Loss: 3.4282 - Accuracy: 0.2857 - F1: 0.1814
sub_11:Test (Best Model) - Loss: 2.1199 - Accuracy: 0.3762 - F1: 0.3679
sub_12:Test (Best Model) - Loss: 1.7701 - Accuracy: 0.4095 - F1: 0.3597
sub_14:Test (Best Model) - Loss: 3.9755 - Accuracy: 0.3095 - F1: 0.2348
sub_11:Test (Best Model) - Loss: 1.8439 - Accuracy: 0.2952 - F1: 0.2578
sub_12:Test (Best Model) - Loss: 2.0478 - Accuracy: 0.3000 - F1: 0.3001
sub_14:Test (Best Model) - Loss: 5.8972 - Accuracy: 0.2476 - F1: 0.1401
sub_12:Test (Best Model) - Loss: 2.3472 - Accuracy: 0.2810 - F1: 0.2774
sub_14:Test (Best Model) - Loss: 4.9361 - Accuracy: 0.2286 - F1: 0.1155
sub_14:Test (Best Model) - Loss: 6.4030 - Accuracy: 0.2429 - F1: 0.1419
sub_14:Test (Best Model) - Loss: 4.9074 - Accuracy: 0.2048 - F1: 0.0762

=== Summary Results ===

acc: 35.84 ± 4.69
F1: 31.84 ± 4.70
acc-in: 48.58 ± 3.83
F1-in: 45.00 ± 4.37
runing time: 3712.07 seconds
