lr: 0.001
sub_7:Test (Best Model) - Loss: 1.6434 - Accuracy: 0.2429 - F1: 0.2126
sub_2:Test (Best Model) - Loss: 1.6423 - Accuracy: 0.3381 - F1: 0.2510
sub_3:Test (Best Model) - Loss: 1.6345 - Accuracy: 0.3238 - F1: 0.2012
sub_6:Test (Best Model) - Loss: 1.6655 - Accuracy: 0.2190 - F1: 0.2168
sub_4:Test (Best Model) - Loss: 1.4943 - Accuracy: 0.3762 - F1: 0.3548
sub_2:Test (Best Model) - Loss: 1.3425 - Accuracy: 0.3714 - F1: 0.3113
sub_1:Test (Best Model) - Loss: 1.5562 - Accuracy: 0.3429 - F1: 0.2964
sub_7:Test (Best Model) - Loss: 2.0399 - Accuracy: 0.2143 - F1: 0.1740
sub_5:Test (Best Model) - Loss: 2.3513 - Accuracy: 0.3238 - F1: 0.3139
sub_6:Test (Best Model) - Loss: 3.9573 - Accuracy: 0.2095 - F1: 0.0859
sub_3:Test (Best Model) - Loss: 1.3370 - Accuracy: 0.3810 - F1: 0.3112
sub_7:Test (Best Model) - Loss: 1.8506 - Accuracy: 0.2476 - F1: 0.1996
sub_1:Test (Best Model) - Loss: 1.3199 - Accuracy: 0.4095 - F1: 0.3547
sub_4:Test (Best Model) - Loss: 2.1556 - Accuracy: 0.2810 - F1: 0.1613
sub_6:Test (Best Model) - Loss: 2.1186 - Accuracy: 0.2143 - F1: 0.0978
sub_2:Test (Best Model) - Loss: 1.4875 - Accuracy: 0.3619 - F1: 0.3314
sub_5:Test (Best Model) - Loss: 2.0298 - Accuracy: 0.2238 - F1: 0.1317
sub_3:Test (Best Model) - Loss: 1.2684 - Accuracy: 0.3524 - F1: 0.3491
sub_1:Test (Best Model) - Loss: 1.7377 - Accuracy: 0.3429 - F1: 0.2779
sub_4:Test (Best Model) - Loss: 4.8774 - Accuracy: 0.2000 - F1: 0.0667
sub_5:Test (Best Model) - Loss: 1.4519 - Accuracy: 0.3524 - F1: 0.2648
sub_7:Test (Best Model) - Loss: 2.2044 - Accuracy: 0.2429 - F1: 0.1815
sub_6:Test (Best Model) - Loss: 3.0135 - Accuracy: 0.2190 - F1: 0.0979
sub_2:Test (Best Model) - Loss: 1.5791 - Accuracy: 0.3667 - F1: 0.3096
sub_3:Test (Best Model) - Loss: 1.3208 - Accuracy: 0.3762 - F1: 0.3022
sub_7:Test (Best Model) - Loss: 1.6553 - Accuracy: 0.2095 - F1: 0.0863
sub_6:Test (Best Model) - Loss: 1.6957 - Accuracy: 0.1905 - F1: 0.1563
sub_1:Test (Best Model) - Loss: 1.3572 - Accuracy: 0.4048 - F1: 0.3505
sub_5:Test (Best Model) - Loss: 1.5179 - Accuracy: 0.3286 - F1: 0.2930
sub_4:Test (Best Model) - Loss: 2.1249 - Accuracy: 0.3095 - F1: 0.2172
sub_2:Test (Best Model) - Loss: 2.0428 - Accuracy: 0.3000 - F1: 0.2412
sub_7:Test (Best Model) - Loss: 1.4906 - Accuracy: 0.3238 - F1: 0.2575
sub_6:Test (Best Model) - Loss: 2.0960 - Accuracy: 0.2143 - F1: 0.0961
sub_4:Test (Best Model) - Loss: 5.1669 - Accuracy: 0.2000 - F1: 0.0672
sub_3:Test (Best Model) - Loss: 1.5505 - Accuracy: 0.2762 - F1: 0.2354
sub_5:Test (Best Model) - Loss: 1.4851 - Accuracy: 0.3286 - F1: 0.2847
sub_2:Test (Best Model) - Loss: 1.5336 - Accuracy: 0.3190 - F1: 0.3125
sub_1:Test (Best Model) - Loss: 1.4354 - Accuracy: 0.3619 - F1: 0.3206
sub_7:Test (Best Model) - Loss: 1.6369 - Accuracy: 0.2571 - F1: 0.1801
sub_6:Test (Best Model) - Loss: 5.7150 - Accuracy: 0.2000 - F1: 0.0667
sub_4:Test (Best Model) - Loss: 1.9294 - Accuracy: 0.3190 - F1: 0.2875
sub_1:Test (Best Model) - Loss: 2.1542 - Accuracy: 0.2762 - F1: 0.1532
sub_3:Test (Best Model) - Loss: 1.3837 - Accuracy: 0.3381 - F1: 0.2933
sub_6:Test (Best Model) - Loss: 2.6509 - Accuracy: 0.2000 - F1: 0.0669
sub_7:Test (Best Model) - Loss: 1.6960 - Accuracy: 0.2000 - F1: 0.0672
sub_5:Test (Best Model) - Loss: 1.4151 - Accuracy: 0.3571 - F1: 0.2942
sub_4:Test (Best Model) - Loss: 2.8600 - Accuracy: 0.2619 - F1: 0.1655
sub_6:Test (Best Model) - Loss: 2.7812 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.5944 - Accuracy: 0.3286 - F1: 0.3147
sub_2:Test (Best Model) - Loss: 1.3887 - Accuracy: 0.4095 - F1: 0.3962
sub_3:Test (Best Model) - Loss: 1.6625 - Accuracy: 0.3333 - F1: 0.2459
sub_7:Test (Best Model) - Loss: 1.7512 - Accuracy: 0.2143 - F1: 0.1554
sub_4:Test (Best Model) - Loss: 1.6299 - Accuracy: 0.3952 - F1: 0.3633
sub_2:Test (Best Model) - Loss: 1.4306 - Accuracy: 0.3429 - F1: 0.3018
sub_6:Test (Best Model) - Loss: 1.4996 - Accuracy: 0.3190 - F1: 0.2892
sub_3:Test (Best Model) - Loss: 1.4856 - Accuracy: 0.2905 - F1: 0.1960
sub_4:Test (Best Model) - Loss: 3.3390 - Accuracy: 0.2000 - F1: 0.0669
sub_5:Test (Best Model) - Loss: 1.8998 - Accuracy: 0.2619 - F1: 0.2350
sub_2:Test (Best Model) - Loss: 1.1697 - Accuracy: 0.4667 - F1: 0.4484
sub_6:Test (Best Model) - Loss: 3.3532 - Accuracy: 0.1952 - F1: 0.1593
sub_4:Test (Best Model) - Loss: 1.3375 - Accuracy: 0.3952 - F1: 0.3298
sub_1:Test (Best Model) - Loss: 1.5252 - Accuracy: 0.3762 - F1: 0.3618
sub_6:Test (Best Model) - Loss: 2.3589 - Accuracy: 0.2857 - F1: 0.2495
sub_5:Test (Best Model) - Loss: 2.3937 - Accuracy: 0.2238 - F1: 0.2055
sub_7:Test (Best Model) - Loss: 1.8241 - Accuracy: 0.3000 - F1: 0.2626
sub_2:Test (Best Model) - Loss: 1.1966 - Accuracy: 0.3810 - F1: 0.3577
sub_3:Test (Best Model) - Loss: 1.6718 - Accuracy: 0.3810 - F1: 0.3276
sub_4:Test (Best Model) - Loss: 1.4589 - Accuracy: 0.3714 - F1: 0.3774
sub_1:Test (Best Model) - Loss: 1.5475 - Accuracy: 0.3238 - F1: 0.3319
sub_6:Test (Best Model) - Loss: 3.0466 - Accuracy: 0.1667 - F1: 0.1357
sub_2:Test (Best Model) - Loss: 1.5626 - Accuracy: 0.2762 - F1: 0.2490
sub_5:Test (Best Model) - Loss: 2.1595 - Accuracy: 0.3333 - F1: 0.3259
sub_3:Test (Best Model) - Loss: 1.4355 - Accuracy: 0.3571 - F1: 0.3230
sub_6:Test (Best Model) - Loss: 4.0731 - Accuracy: 0.1667 - F1: 0.1648
sub_1:Test (Best Model) - Loss: 1.3035 - Accuracy: 0.3952 - F1: 0.3806
sub_4:Test (Best Model) - Loss: 1.6124 - Accuracy: 0.3810 - F1: 0.3786
sub_2:Test (Best Model) - Loss: 1.2974 - Accuracy: 0.4048 - F1: 0.4026
sub_7:Test (Best Model) - Loss: 1.5198 - Accuracy: 0.3238 - F1: 0.2918
sub_4:Test (Best Model) - Loss: 1.5022 - Accuracy: 0.3333 - F1: 0.2942
sub_3:Test (Best Model) - Loss: 1.7098 - Accuracy: 0.2571 - F1: 0.2079
sub_2:Test (Best Model) - Loss: 1.3346 - Accuracy: 0.4000 - F1: 0.3181
sub_6:Test (Best Model) - Loss: 1.9373 - Accuracy: 0.2429 - F1: 0.1979
sub_7:Test (Best Model) - Loss: 1.6206 - Accuracy: 0.2571 - F1: 0.2344
sub_4:Test (Best Model) - Loss: 1.6670 - Accuracy: 0.3381 - F1: 0.3316
sub_5:Test (Best Model) - Loss: 1.5474 - Accuracy: 0.4000 - F1: 0.3875
sub_3:Test (Best Model) - Loss: 1.4258 - Accuracy: 0.3190 - F1: 0.2595
sub_2:Test (Best Model) - Loss: 1.5564 - Accuracy: 0.3952 - F1: 0.3079
sub_4:Test (Best Model) - Loss: 6.1339 - Accuracy: 0.2000 - F1: 0.0760
sub_1:Test (Best Model) - Loss: 1.9592 - Accuracy: 0.3524 - F1: 0.2626
sub_7:Test (Best Model) - Loss: 1.4487 - Accuracy: 0.3000 - F1: 0.2703
sub_2:Test (Best Model) - Loss: 1.4726 - Accuracy: 0.3714 - F1: 0.3463
sub_3:Test (Best Model) - Loss: 1.4759 - Accuracy: 0.2952 - F1: 0.2153
sub_7:Test (Best Model) - Loss: 1.6505 - Accuracy: 0.2524 - F1: 0.2323
sub_5:Test (Best Model) - Loss: 2.0438 - Accuracy: 0.2714 - F1: 0.2789
sub_1:Test (Best Model) - Loss: 2.1816 - Accuracy: 0.3286 - F1: 0.2195
sub_3:Test (Best Model) - Loss: 1.4533 - Accuracy: 0.2952 - F1: 0.2105
sub_1:Test (Best Model) - Loss: 2.0460 - Accuracy: 0.2095 - F1: 0.0913
sub_5:Test (Best Model) - Loss: 2.3418 - Accuracy: 0.2667 - F1: 0.2480
sub_3:Test (Best Model) - Loss: 1.3984 - Accuracy: 0.3000 - F1: 0.2419
sub_7:Test (Best Model) - Loss: 1.5616 - Accuracy: 0.3190 - F1: 0.3018
sub_5:Test (Best Model) - Loss: 2.6300 - Accuracy: 0.2190 - F1: 0.1576
sub_1:Test (Best Model) - Loss: 3.2306 - Accuracy: 0.3095 - F1: 0.1857
sub_5:Test (Best Model) - Loss: 2.6550 - Accuracy: 0.2000 - F1: 0.1878
sub_1:Test (Best Model) - Loss: 1.4665 - Accuracy: 0.3762 - F1: 0.3303
sub_5:Test (Best Model) - Loss: 2.1508 - Accuracy: 0.2667 - F1: 0.2507
sub_11:Test (Best Model) - Loss: 2.0098 - Accuracy: 0.3048 - F1: 0.2242
sub_13:Test (Best Model) - Loss: 1.7810 - Accuracy: 0.2714 - F1: 0.2318
sub_9:Test (Best Model) - Loss: 1.5011 - Accuracy: 0.3476 - F1: 0.2761
sub_12:Test (Best Model) - Loss: 1.4641 - Accuracy: 0.3714 - F1: 0.3638
sub_8:Test (Best Model) - Loss: 1.2032 - Accuracy: 0.4381 - F1: 0.4139
sub_10:Test (Best Model) - Loss: 2.0963 - Accuracy: 0.3476 - F1: 0.3008
sub_11:Test (Best Model) - Loss: 5.6308 - Accuracy: 0.2000 - F1: 0.0965
sub_13:Test (Best Model) - Loss: 1.5922 - Accuracy: 0.3333 - F1: 0.2504
sub_14:Test (Best Model) - Loss: 1.5859 - Accuracy: 0.4238 - F1: 0.3969
sub_9:Test (Best Model) - Loss: 1.9210 - Accuracy: 0.3524 - F1: 0.2170
sub_12:Test (Best Model) - Loss: 1.4170 - Accuracy: 0.3857 - F1: 0.3749
sub_13:Test (Best Model) - Loss: 1.3189 - Accuracy: 0.3714 - F1: 0.3516
sub_8:Test (Best Model) - Loss: 1.4191 - Accuracy: 0.3810 - F1: 0.3025
sub_10:Test (Best Model) - Loss: 1.7514 - Accuracy: 0.2952 - F1: 0.2237
sub_9:Test (Best Model) - Loss: 1.5986 - Accuracy: 0.3619 - F1: 0.2892
sub_11:Test (Best Model) - Loss: 6.0564 - Accuracy: 0.2095 - F1: 0.1033
sub_9:Test (Best Model) - Loss: 2.1525 - Accuracy: 0.2619 - F1: 0.1629
sub_14:Test (Best Model) - Loss: 1.6334 - Accuracy: 0.3286 - F1: 0.2938
sub_11:Test (Best Model) - Loss: 4.4799 - Accuracy: 0.2095 - F1: 0.1333
sub_13:Test (Best Model) - Loss: 3.1346 - Accuracy: 0.2571 - F1: 0.1439
sub_12:Test (Best Model) - Loss: 1.8522 - Accuracy: 0.4381 - F1: 0.3900
sub_10:Test (Best Model) - Loss: 2.4367 - Accuracy: 0.3381 - F1: 0.2746
sub_8:Test (Best Model) - Loss: 1.6836 - Accuracy: 0.3524 - F1: 0.2644
sub_11:Test (Best Model) - Loss: 3.9124 - Accuracy: 0.2143 - F1: 0.1020
sub_14:Test (Best Model) - Loss: 1.5770 - Accuracy: 0.3000 - F1: 0.2796
sub_9:Test (Best Model) - Loss: 1.4915 - Accuracy: 0.3476 - F1: 0.2761
sub_13:Test (Best Model) - Loss: 1.6027 - Accuracy: 0.3143 - F1: 0.1946
sub_10:Test (Best Model) - Loss: 1.3250 - Accuracy: 0.4476 - F1: 0.4306
sub_12:Test (Best Model) - Loss: 1.4812 - Accuracy: 0.4190 - F1: 0.4256
sub_8:Test (Best Model) - Loss: 1.2375 - Accuracy: 0.4429 - F1: 0.4193
sub_13:Test (Best Model) - Loss: 2.0346 - Accuracy: 0.2000 - F1: 0.0667
sub_11:Test (Best Model) - Loss: 1.2591 - Accuracy: 0.4333 - F1: 0.4027
sub_9:Test (Best Model) - Loss: 1.3364 - Accuracy: 0.4190 - F1: 0.3829
sub_13:Test (Best Model) - Loss: 1.5101 - Accuracy: 0.3667 - F1: 0.3088
sub_10:Test (Best Model) - Loss: 1.9527 - Accuracy: 0.3762 - F1: 0.3308
sub_8:Test (Best Model) - Loss: 1.4419 - Accuracy: 0.4476 - F1: 0.3952
sub_12:Test (Best Model) - Loss: 1.4809 - Accuracy: 0.4095 - F1: 0.3687
sub_14:Test (Best Model) - Loss: 1.6474 - Accuracy: 0.3524 - F1: 0.3549
sub_11:Test (Best Model) - Loss: 1.8638 - Accuracy: 0.3429 - F1: 0.3006
sub_13:Test (Best Model) - Loss: 2.3424 - Accuracy: 0.2714 - F1: 0.1605
sub_9:Test (Best Model) - Loss: 1.4402 - Accuracy: 0.4143 - F1: 0.3710
sub_10:Test (Best Model) - Loss: 1.3309 - Accuracy: 0.3857 - F1: 0.3577
sub_14:Test (Best Model) - Loss: 2.2568 - Accuracy: 0.2286 - F1: 0.1677
sub_8:Test (Best Model) - Loss: 1.2188 - Accuracy: 0.4857 - F1: 0.4706
sub_9:Test (Best Model) - Loss: 1.3570 - Accuracy: 0.4190 - F1: 0.3572
sub_13:Test (Best Model) - Loss: 1.5869 - Accuracy: 0.3429 - F1: 0.3344
sub_12:Test (Best Model) - Loss: 1.3761 - Accuracy: 0.3905 - F1: 0.3176
sub_11:Test (Best Model) - Loss: 1.3085 - Accuracy: 0.4286 - F1: 0.3822
sub_9:Test (Best Model) - Loss: 1.6414 - Accuracy: 0.3381 - F1: 0.2363
sub_14:Test (Best Model) - Loss: 1.4873 - Accuracy: 0.3905 - F1: 0.3659
sub_10:Test (Best Model) - Loss: 1.8154 - Accuracy: 0.3381 - F1: 0.2824
sub_8:Test (Best Model) - Loss: 1.3583 - Accuracy: 0.4238 - F1: 0.3932
sub_13:Test (Best Model) - Loss: 1.4491 - Accuracy: 0.3905 - F1: 0.3264
sub_9:Test (Best Model) - Loss: 1.5304 - Accuracy: 0.3381 - F1: 0.3313
sub_11:Test (Best Model) - Loss: 1.3134 - Accuracy: 0.4000 - F1: 0.3338
sub_12:Test (Best Model) - Loss: 1.4503 - Accuracy: 0.4143 - F1: 0.3496
sub_13:Test (Best Model) - Loss: 1.7431 - Accuracy: 0.3714 - F1: 0.3221
sub_9:Test (Best Model) - Loss: 1.5228 - Accuracy: 0.3143 - F1: 0.2547
sub_10:Test (Best Model) - Loss: 1.5971 - Accuracy: 0.3571 - F1: 0.3267
sub_14:Test (Best Model) - Loss: 1.3952 - Accuracy: 0.4143 - F1: 0.3956
sub_11:Test (Best Model) - Loss: 1.3811 - Accuracy: 0.4143 - F1: 0.4043
sub_8:Test (Best Model) - Loss: 1.0920 - Accuracy: 0.5143 - F1: 0.5121
sub_9:Test (Best Model) - Loss: 1.3862 - Accuracy: 0.2905 - F1: 0.2433
sub_13:Test (Best Model) - Loss: 1.3830 - Accuracy: 0.3857 - F1: 0.3716
sub_12:Test (Best Model) - Loss: 1.3681 - Accuracy: 0.3905 - F1: 0.3582
sub_14:Test (Best Model) - Loss: 1.2945 - Accuracy: 0.3952 - F1: 0.3982
sub_11:Test (Best Model) - Loss: 1.4715 - Accuracy: 0.4190 - F1: 0.3675
sub_8:Test (Best Model) - Loss: 1.1373 - Accuracy: 0.4857 - F1: 0.4831
sub_9:Test (Best Model) - Loss: 1.8000 - Accuracy: 0.3143 - F1: 0.3047
sub_12:Test (Best Model) - Loss: 1.4593 - Accuracy: 0.3524 - F1: 0.3230
sub_13:Test (Best Model) - Loss: 1.3836 - Accuracy: 0.3667 - F1: 0.3479
sub_11:Test (Best Model) - Loss: 1.8657 - Accuracy: 0.3238 - F1: 0.2997
sub_14:Test (Best Model) - Loss: 1.3922 - Accuracy: 0.4095 - F1: 0.3995
sub_10:Test (Best Model) - Loss: 1.3762 - Accuracy: 0.3857 - F1: 0.3802
sub_8:Test (Best Model) - Loss: 1.1984 - Accuracy: 0.4905 - F1: 0.4521
sub_9:Test (Best Model) - Loss: 1.2229 - Accuracy: 0.4238 - F1: 0.3833
sub_12:Test (Best Model) - Loss: 1.2631 - Accuracy: 0.4143 - F1: 0.3989
sub_13:Test (Best Model) - Loss: 1.4194 - Accuracy: 0.3381 - F1: 0.3250
sub_10:Test (Best Model) - Loss: 1.4170 - Accuracy: 0.4000 - F1: 0.3674
sub_9:Test (Best Model) - Loss: 1.4403 - Accuracy: 0.3667 - F1: 0.2965
sub_11:Test (Best Model) - Loss: 2.1348 - Accuracy: 0.3333 - F1: 0.3364
sub_8:Test (Best Model) - Loss: 1.2939 - Accuracy: 0.3952 - F1: 0.3108
sub_14:Test (Best Model) - Loss: 1.6339 - Accuracy: 0.4000 - F1: 0.3876
sub_12:Test (Best Model) - Loss: 3.1819 - Accuracy: 0.1810 - F1: 0.1307
sub_13:Test (Best Model) - Loss: 1.3792 - Accuracy: 0.3286 - F1: 0.3080
sub_10:Test (Best Model) - Loss: 1.7573 - Accuracy: 0.2476 - F1: 0.2148
sub_8:Test (Best Model) - Loss: 1.8832 - Accuracy: 0.4667 - F1: 0.4242
sub_14:Test (Best Model) - Loss: 3.4655 - Accuracy: 0.2238 - F1: 0.1239
sub_12:Test (Best Model) - Loss: 1.7924 - Accuracy: 0.3762 - F1: 0.3474
sub_11:Test (Best Model) - Loss: 2.1421 - Accuracy: 0.3000 - F1: 0.3050
sub_10:Test (Best Model) - Loss: 2.0888 - Accuracy: 0.2048 - F1: 0.1429
sub_12:Test (Best Model) - Loss: 1.5873 - Accuracy: 0.3429 - F1: 0.2714
sub_11:Test (Best Model) - Loss: 1.7039 - Accuracy: 0.3571 - F1: 0.3577
sub_14:Test (Best Model) - Loss: 2.8347 - Accuracy: 0.2905 - F1: 0.2080
sub_8:Test (Best Model) - Loss: 1.3899 - Accuracy: 0.3857 - F1: 0.3736
sub_10:Test (Best Model) - Loss: 1.3943 - Accuracy: 0.3857 - F1: 0.3551
sub_12:Test (Best Model) - Loss: 1.7942 - Accuracy: 0.3333 - F1: 0.2352
sub_14:Test (Best Model) - Loss: 3.3447 - Accuracy: 0.2619 - F1: 0.1616
sub_10:Test (Best Model) - Loss: 1.8844 - Accuracy: 0.2667 - F1: 0.2243
sub_12:Test (Best Model) - Loss: 1.6493 - Accuracy: 0.3143 - F1: 0.2803
sub_8:Test (Best Model) - Loss: 1.8306 - Accuracy: 0.4048 - F1: 0.3535
sub_14:Test (Best Model) - Loss: 5.0430 - Accuracy: 0.2238 - F1: 0.1045
sub_10:Test (Best Model) - Loss: 1.9793 - Accuracy: 0.1952 - F1: 0.1620
sub_8:Test (Best Model) - Loss: 1.4793 - Accuracy: 0.4143 - F1: 0.3921
sub_14:Test (Best Model) - Loss: 3.5043 - Accuracy: 0.2524 - F1: 0.1631

=== Summary Results ===

acc: 32.68 ± 4.97
F1: 27.49 ± 5.68
acc-in: 42.77 ± 5.45
F1-in: 37.45 ± 6.27
runing time: 1434.71 seconds
