lr: 0.001
sub_2:Test (Best Model) - Loss: 1.9908 - Accuracy: 0.3143 - F1: 0.2068
sub_3:Test (Best Model) - Loss: 2.0205 - Accuracy: 0.2762 - F1: 0.1817
sub_6:Test (Best Model) - Loss: 1.7614 - Accuracy: 0.2762 - F1: 0.2131
sub_4:Test (Best Model) - Loss: 1.2336 - Accuracy: 0.5048 - F1: 0.4907
sub_1:Test (Best Model) - Loss: 1.9431 - Accuracy: 0.2762 - F1: 0.1678
sub_5:Test (Best Model) - Loss: 1.5045 - Accuracy: 0.4095 - F1: 0.3780
sub_7:Test (Best Model) - Loss: 2.4111 - Accuracy: 0.1667 - F1: 0.1372
sub_6:Test (Best Model) - Loss: 1.7463 - Accuracy: 0.3429 - F1: 0.3200
sub_7:Test (Best Model) - Loss: 1.7904 - Accuracy: 0.2095 - F1: 0.1015
sub_3:Test (Best Model) - Loss: 1.2952 - Accuracy: 0.3952 - F1: 0.3150
sub_1:Test (Best Model) - Loss: 1.2861 - Accuracy: 0.4095 - F1: 0.3492
sub_5:Test (Best Model) - Loss: 2.2148 - Accuracy: 0.3190 - F1: 0.2597
sub_2:Test (Best Model) - Loss: 1.4858 - Accuracy: 0.4238 - F1: 0.3866
sub_4:Test (Best Model) - Loss: 2.2709 - Accuracy: 0.3810 - F1: 0.3235
sub_6:Test (Best Model) - Loss: 1.5280 - Accuracy: 0.3476 - F1: 0.3326
sub_3:Test (Best Model) - Loss: 1.4308 - Accuracy: 0.3619 - F1: 0.3254
sub_5:Test (Best Model) - Loss: 2.7534 - Accuracy: 0.3571 - F1: 0.2930
sub_7:Test (Best Model) - Loss: 2.0600 - Accuracy: 0.2238 - F1: 0.1520
sub_2:Test (Best Model) - Loss: 1.9397 - Accuracy: 0.3048 - F1: 0.2235
sub_4:Test (Best Model) - Loss: 2.0789 - Accuracy: 0.3048 - F1: 0.2085
sub_1:Test (Best Model) - Loss: 1.2706 - Accuracy: 0.4571 - F1: 0.4201
sub_6:Test (Best Model) - Loss: 2.2553 - Accuracy: 0.2619 - F1: 0.2353
sub_3:Test (Best Model) - Loss: 1.3011 - Accuracy: 0.3667 - F1: 0.2780
sub_5:Test (Best Model) - Loss: 3.1532 - Accuracy: 0.2524 - F1: 0.1685
sub_2:Test (Best Model) - Loss: 2.7161 - Accuracy: 0.2857 - F1: 0.1886
sub_7:Test (Best Model) - Loss: 2.1748 - Accuracy: 0.2143 - F1: 0.1181
sub_1:Test (Best Model) - Loss: 1.4955 - Accuracy: 0.2333 - F1: 0.1334
sub_6:Test (Best Model) - Loss: 2.1724 - Accuracy: 0.2714 - F1: 0.2376
sub_3:Test (Best Model) - Loss: 1.9988 - Accuracy: 0.2905 - F1: 0.2024
sub_4:Test (Best Model) - Loss: 1.3305 - Accuracy: 0.4762 - F1: 0.4476
sub_2:Test (Best Model) - Loss: 1.5667 - Accuracy: 0.4238 - F1: 0.3777
sub_7:Test (Best Model) - Loss: 1.9364 - Accuracy: 0.1905 - F1: 0.1638
sub_3:Test (Best Model) - Loss: 1.2695 - Accuracy: 0.3857 - F1: 0.3796
sub_5:Test (Best Model) - Loss: 2.5155 - Accuracy: 0.4095 - F1: 0.3589
sub_6:Test (Best Model) - Loss: 1.7867 - Accuracy: 0.2762 - F1: 0.2016
sub_1:Test (Best Model) - Loss: 2.1784 - Accuracy: 0.3667 - F1: 0.3356
sub_4:Test (Best Model) - Loss: 2.2773 - Accuracy: 0.2762 - F1: 0.1688
sub_2:Test (Best Model) - Loss: 1.1115 - Accuracy: 0.4714 - F1: 0.4594
sub_7:Test (Best Model) - Loss: 1.3158 - Accuracy: 0.3762 - F1: 0.3167
sub_1:Test (Best Model) - Loss: 2.2801 - Accuracy: 0.2286 - F1: 0.1179
sub_3:Test (Best Model) - Loss: 1.4698 - Accuracy: 0.3619 - F1: 0.2710
sub_6:Test (Best Model) - Loss: 1.5847 - Accuracy: 0.3857 - F1: 0.3557
sub_7:Test (Best Model) - Loss: 1.3764 - Accuracy: 0.3190 - F1: 0.2348
sub_5:Test (Best Model) - Loss: 1.7297 - Accuracy: 0.4143 - F1: 0.3961
sub_3:Test (Best Model) - Loss: 1.5828 - Accuracy: 0.3381 - F1: 0.2644
sub_1:Test (Best Model) - Loss: 1.2004 - Accuracy: 0.4476 - F1: 0.4604
sub_4:Test (Best Model) - Loss: 1.3500 - Accuracy: 0.4714 - F1: 0.4751
sub_6:Test (Best Model) - Loss: 1.7373 - Accuracy: 0.3429 - F1: 0.2677
sub_3:Test (Best Model) - Loss: 1.9732 - Accuracy: 0.2857 - F1: 0.1719
sub_2:Test (Best Model) - Loss: 1.6477 - Accuracy: 0.4333 - F1: 0.4161
sub_7:Test (Best Model) - Loss: 1.4619 - Accuracy: 0.2857 - F1: 0.2257
sub_1:Test (Best Model) - Loss: 1.1192 - Accuracy: 0.4381 - F1: 0.4198
sub_5:Test (Best Model) - Loss: 1.8898 - Accuracy: 0.3905 - F1: 0.3614
sub_4:Test (Best Model) - Loss: 1.3589 - Accuracy: 0.3952 - F1: 0.3816
sub_6:Test (Best Model) - Loss: 1.6970 - Accuracy: 0.3905 - F1: 0.3731
sub_3:Test (Best Model) - Loss: 1.5322 - Accuracy: 0.3190 - F1: 0.2211
sub_2:Test (Best Model) - Loss: 1.5064 - Accuracy: 0.3429 - F1: 0.2990
sub_1:Test (Best Model) - Loss: 1.3906 - Accuracy: 0.4238 - F1: 0.3766
sub_7:Test (Best Model) - Loss: 1.3517 - Accuracy: 0.3667 - F1: 0.3063
sub_1:Test (Best Model) - Loss: 1.2485 - Accuracy: 0.4190 - F1: 0.3519
sub_6:Test (Best Model) - Loss: 1.2222 - Accuracy: 0.3762 - F1: 0.3505
sub_3:Test (Best Model) - Loss: 1.6329 - Accuracy: 0.3381 - F1: 0.2856
sub_5:Test (Best Model) - Loss: 2.0254 - Accuracy: 0.3905 - F1: 0.3630
sub_4:Test (Best Model) - Loss: 1.4461 - Accuracy: 0.4238 - F1: 0.4175
sub_2:Test (Best Model) - Loss: 1.1650 - Accuracy: 0.4571 - F1: 0.4294
sub_1:Test (Best Model) - Loss: 2.3547 - Accuracy: 0.3429 - F1: 0.2494
sub_7:Test (Best Model) - Loss: 1.4956 - Accuracy: 0.3429 - F1: 0.2800
sub_5:Test (Best Model) - Loss: 1.6447 - Accuracy: 0.4143 - F1: 0.4021
sub_6:Test (Best Model) - Loss: 3.2656 - Accuracy: 0.2571 - F1: 0.2103
sub_1:Test (Best Model) - Loss: 2.4312 - Accuracy: 0.3190 - F1: 0.1962
sub_4:Test (Best Model) - Loss: 1.2635 - Accuracy: 0.5190 - F1: 0.5191
sub_3:Test (Best Model) - Loss: 1.8749 - Accuracy: 0.3381 - F1: 0.2842
sub_7:Test (Best Model) - Loss: 1.8426 - Accuracy: 0.2857 - F1: 0.2556
sub_2:Test (Best Model) - Loss: 2.3328 - Accuracy: 0.2619 - F1: 0.1840
sub_6:Test (Best Model) - Loss: 2.0336 - Accuracy: 0.3286 - F1: 0.2492
sub_5:Test (Best Model) - Loss: 2.0172 - Accuracy: 0.3381 - F1: 0.2730
sub_1:Test (Best Model) - Loss: 2.0252 - Accuracy: 0.2905 - F1: 0.1836
sub_3:Test (Best Model) - Loss: 1.5531 - Accuracy: 0.2952 - F1: 0.2995
sub_7:Test (Best Model) - Loss: 1.5988 - Accuracy: 0.3000 - F1: 0.2927
sub_5:Test (Best Model) - Loss: 1.6350 - Accuracy: 0.3190 - F1: 0.2793
sub_4:Test (Best Model) - Loss: 2.0291 - Accuracy: 0.3381 - F1: 0.2917
sub_6:Test (Best Model) - Loss: 2.7759 - Accuracy: 0.2190 - F1: 0.1795
sub_2:Test (Best Model) - Loss: 1.6955 - Accuracy: 0.3190 - F1: 0.2899
sub_1:Test (Best Model) - Loss: 2.2235 - Accuracy: 0.3048 - F1: 0.2096
sub_4:Test (Best Model) - Loss: 1.6808 - Accuracy: 0.3381 - F1: 0.2137
sub_7:Test (Best Model) - Loss: 1.4559 - Accuracy: 0.3524 - F1: 0.3185
sub_5:Test (Best Model) - Loss: 2.0029 - Accuracy: 0.3333 - F1: 0.3373
sub_1:Test (Best Model) - Loss: 1.6090 - Accuracy: 0.3333 - F1: 0.2274
sub_3:Test (Best Model) - Loss: 1.7520 - Accuracy: 0.3286 - F1: 0.3073
sub_2:Test (Best Model) - Loss: 1.3611 - Accuracy: 0.4000 - F1: 0.3645
sub_7:Test (Best Model) - Loss: 1.8528 - Accuracy: 0.3048 - F1: 0.2709
sub_6:Test (Best Model) - Loss: 2.1486 - Accuracy: 0.2476 - F1: 0.2024
sub_5:Test (Best Model) - Loss: 1.9533 - Accuracy: 0.3000 - F1: 0.3084
sub_3:Test (Best Model) - Loss: 1.4221 - Accuracy: 0.3524 - F1: 0.3218
sub_4:Test (Best Model) - Loss: 1.3531 - Accuracy: 0.4381 - F1: 0.4512
sub_7:Test (Best Model) - Loss: 1.6744 - Accuracy: 0.2571 - F1: 0.2233
sub_2:Test (Best Model) - Loss: 1.9967 - Accuracy: 0.3429 - F1: 0.2941
sub_6:Test (Best Model) - Loss: 3.0980 - Accuracy: 0.2810 - F1: 0.2101
sub_5:Test (Best Model) - Loss: 1.9330 - Accuracy: 0.3238 - F1: 0.3004
sub_2:Test (Best Model) - Loss: 2.7074 - Accuracy: 0.2190 - F1: 0.1017
sub_4:Test (Best Model) - Loss: 1.6146 - Accuracy: 0.4476 - F1: 0.4376
sub_5:Test (Best Model) - Loss: 2.3086 - Accuracy: 0.1905 - F1: 0.1973
sub_2:Test (Best Model) - Loss: 1.5395 - Accuracy: 0.3524 - F1: 0.2592
sub_4:Test (Best Model) - Loss: 1.4156 - Accuracy: 0.3333 - F1: 0.3074
sub_4:Test (Best Model) - Loss: 1.3857 - Accuracy: 0.4905 - F1: 0.4954
sub_9:Test (Best Model) - Loss: 1.2608 - Accuracy: 0.3762 - F1: 0.2685
sub_14:Test (Best Model) - Loss: 1.5333 - Accuracy: 0.3143 - F1: 0.2047
sub_11:Test (Best Model) - Loss: 1.8953 - Accuracy: 0.3667 - F1: 0.2378
sub_13:Test (Best Model) - Loss: 1.3639 - Accuracy: 0.3619 - F1: 0.3079
sub_10:Test (Best Model) - Loss: 1.5953 - Accuracy: 0.4143 - F1: 0.3693
sub_8:Test (Best Model) - Loss: 1.1356 - Accuracy: 0.4286 - F1: 0.4227
sub_12:Test (Best Model) - Loss: 1.4992 - Accuracy: 0.4048 - F1: 0.3628
sub_13:Test (Best Model) - Loss: 2.0649 - Accuracy: 0.2429 - F1: 0.1408
sub_11:Test (Best Model) - Loss: 4.6155 - Accuracy: 0.2095 - F1: 0.1024
sub_14:Test (Best Model) - Loss: 1.8936 - Accuracy: 0.4190 - F1: 0.4356
sub_12:Test (Best Model) - Loss: 1.2557 - Accuracy: 0.4429 - F1: 0.4041
sub_9:Test (Best Model) - Loss: 2.0027 - Accuracy: 0.3714 - F1: 0.2711
sub_13:Test (Best Model) - Loss: 2.7217 - Accuracy: 0.2238 - F1: 0.1163
sub_11:Test (Best Model) - Loss: 3.6675 - Accuracy: 0.2381 - F1: 0.1605
sub_10:Test (Best Model) - Loss: 1.2331 - Accuracy: 0.4095 - F1: 0.3803
sub_14:Test (Best Model) - Loss: 1.5864 - Accuracy: 0.4381 - F1: 0.4070
sub_9:Test (Best Model) - Loss: 1.1291 - Accuracy: 0.4095 - F1: 0.3681
sub_12:Test (Best Model) - Loss: 1.4502 - Accuracy: 0.4381 - F1: 0.4423
sub_11:Test (Best Model) - Loss: 2.3148 - Accuracy: 0.3000 - F1: 0.1984
sub_8:Test (Best Model) - Loss: 1.8432 - Accuracy: 0.4476 - F1: 0.4022
sub_10:Test (Best Model) - Loss: 1.6180 - Accuracy: 0.4095 - F1: 0.3683
sub_9:Test (Best Model) - Loss: 1.2246 - Accuracy: 0.4333 - F1: 0.3662
sub_13:Test (Best Model) - Loss: 5.8746 - Accuracy: 0.2381 - F1: 0.1313
sub_13:Test (Best Model) - Loss: 2.0255 - Accuracy: 0.2048 - F1: 0.0928
sub_11:Test (Best Model) - Loss: 3.9594 - Accuracy: 0.2190 - F1: 0.1154
sub_8:Test (Best Model) - Loss: 1.5478 - Accuracy: 0.4190 - F1: 0.3393
sub_14:Test (Best Model) - Loss: 1.7310 - Accuracy: 0.3524 - F1: 0.3497
sub_12:Test (Best Model) - Loss: 1.3390 - Accuracy: 0.4476 - F1: 0.4103
sub_10:Test (Best Model) - Loss: 1.3833 - Accuracy: 0.4048 - F1: 0.3820
sub_13:Test (Best Model) - Loss: 1.4246 - Accuracy: 0.3143 - F1: 0.3095
sub_9:Test (Best Model) - Loss: 1.7161 - Accuracy: 0.3762 - F1: 0.3281
sub_13:Test (Best Model) - Loss: 1.7142 - Accuracy: 0.3333 - F1: 0.2019
sub_11:Test (Best Model) - Loss: 1.1981 - Accuracy: 0.5000 - F1: 0.4727
sub_8:Test (Best Model) - Loss: 1.4619 - Accuracy: 0.4619 - F1: 0.3996
sub_12:Test (Best Model) - Loss: 1.3312 - Accuracy: 0.4238 - F1: 0.4044
sub_9:Test (Best Model) - Loss: 1.4145 - Accuracy: 0.3810 - F1: 0.3824
sub_14:Test (Best Model) - Loss: 1.9971 - Accuracy: 0.3476 - F1: 0.3450
sub_10:Test (Best Model) - Loss: 1.8401 - Accuracy: 0.4000 - F1: 0.3718
sub_8:Test (Best Model) - Loss: 1.1107 - Accuracy: 0.5333 - F1: 0.4681
sub_13:Test (Best Model) - Loss: 1.7374 - Accuracy: 0.3524 - F1: 0.2786
sub_12:Test (Best Model) - Loss: 1.1804 - Accuracy: 0.4286 - F1: 0.3683
sub_9:Test (Best Model) - Loss: 1.5269 - Accuracy: 0.4571 - F1: 0.3987
sub_11:Test (Best Model) - Loss: 1.4116 - Accuracy: 0.3810 - F1: 0.3751
sub_13:Test (Best Model) - Loss: 1.6814 - Accuracy: 0.2810 - F1: 0.1617
sub_10:Test (Best Model) - Loss: 1.2358 - Accuracy: 0.4905 - F1: 0.4806
sub_14:Test (Best Model) - Loss: 1.1351 - Accuracy: 0.5238 - F1: 0.5107
sub_13:Test (Best Model) - Loss: 1.3652 - Accuracy: 0.3619 - F1: 0.3362
sub_8:Test (Best Model) - Loss: 1.0406 - Accuracy: 0.5143 - F1: 0.4926
sub_12:Test (Best Model) - Loss: 1.2983 - Accuracy: 0.3905 - F1: 0.3561
sub_9:Test (Best Model) - Loss: 1.1552 - Accuracy: 0.4048 - F1: 0.3526
sub_11:Test (Best Model) - Loss: 1.5180 - Accuracy: 0.3619 - F1: 0.3242
sub_10:Test (Best Model) - Loss: 1.3444 - Accuracy: 0.4238 - F1: 0.4062
sub_12:Test (Best Model) - Loss: 1.3995 - Accuracy: 0.3619 - F1: 0.3191
sub_9:Test (Best Model) - Loss: 1.4697 - Accuracy: 0.4000 - F1: 0.3682
sub_13:Test (Best Model) - Loss: 1.3789 - Accuracy: 0.3857 - F1: 0.3766
sub_8:Test (Best Model) - Loss: 1.2191 - Accuracy: 0.4571 - F1: 0.4184
sub_14:Test (Best Model) - Loss: 1.3224 - Accuracy: 0.4667 - F1: 0.4379
sub_11:Test (Best Model) - Loss: 1.2813 - Accuracy: 0.3524 - F1: 0.2667
sub_10:Test (Best Model) - Loss: 1.4151 - Accuracy: 0.3714 - F1: 0.3261
sub_8:Test (Best Model) - Loss: 1.1238 - Accuracy: 0.4190 - F1: 0.3771
sub_12:Test (Best Model) - Loss: 1.1155 - Accuracy: 0.4571 - F1: 0.4256
sub_9:Test (Best Model) - Loss: 1.2890 - Accuracy: 0.4381 - F1: 0.4351
sub_10:Test (Best Model) - Loss: 1.2702 - Accuracy: 0.4048 - F1: 0.3722
sub_14:Test (Best Model) - Loss: 2.2679 - Accuracy: 0.3095 - F1: 0.2656
sub_13:Test (Best Model) - Loss: 1.9875 - Accuracy: 0.3286 - F1: 0.3036
sub_12:Test (Best Model) - Loss: 1.2313 - Accuracy: 0.4190 - F1: 0.4162
sub_11:Test (Best Model) - Loss: 1.3653 - Accuracy: 0.4524 - F1: 0.4240
sub_8:Test (Best Model) - Loss: 1.5699 - Accuracy: 0.3952 - F1: 0.3464
sub_10:Test (Best Model) - Loss: 2.1366 - Accuracy: 0.3238 - F1: 0.2328
sub_9:Test (Best Model) - Loss: 1.9160 - Accuracy: 0.3095 - F1: 0.2354
sub_13:Test (Best Model) - Loss: 1.5403 - Accuracy: 0.3333 - F1: 0.3058
sub_8:Test (Best Model) - Loss: 1.1862 - Accuracy: 0.4524 - F1: 0.4080
sub_12:Test (Best Model) - Loss: 1.7408 - Accuracy: 0.3429 - F1: 0.3450
sub_14:Test (Best Model) - Loss: 1.2569 - Accuracy: 0.4476 - F1: 0.4282
sub_10:Test (Best Model) - Loss: 1.5963 - Accuracy: 0.3095 - F1: 0.3243
sub_11:Test (Best Model) - Loss: 2.1658 - Accuracy: 0.3905 - F1: 0.3473
sub_13:Test (Best Model) - Loss: 1.3976 - Accuracy: 0.3714 - F1: 0.3489
sub_9:Test (Best Model) - Loss: 1.3990 - Accuracy: 0.3333 - F1: 0.3021
sub_14:Test (Best Model) - Loss: 1.3192 - Accuracy: 0.3619 - F1: 0.2846
sub_11:Test (Best Model) - Loss: 1.8835 - Accuracy: 0.3333 - F1: 0.2352
sub_8:Test (Best Model) - Loss: 1.2292 - Accuracy: 0.4190 - F1: 0.3821
sub_11:Test (Best Model) - Loss: 1.2652 - Accuracy: 0.3810 - F1: 0.3146
sub_12:Test (Best Model) - Loss: 2.7898 - Accuracy: 0.3143 - F1: 0.2647
sub_10:Test (Best Model) - Loss: 2.5970 - Accuracy: 0.2667 - F1: 0.2154
sub_12:Test (Best Model) - Loss: 1.3431 - Accuracy: 0.4095 - F1: 0.3669
sub_11:Test (Best Model) - Loss: 1.4779 - Accuracy: 0.2952 - F1: 0.2386
sub_13:Test (Best Model) - Loss: 1.8307 - Accuracy: 0.2905 - F1: 0.2673
sub_9:Test (Best Model) - Loss: 1.5543 - Accuracy: 0.3571 - F1: 0.3401
sub_8:Test (Best Model) - Loss: 1.5686 - Accuracy: 0.3762 - F1: 0.3429
sub_14:Test (Best Model) - Loss: 5.6232 - Accuracy: 0.2571 - F1: 0.1711
sub_12:Test (Best Model) - Loss: 1.8514 - Accuracy: 0.3762 - F1: 0.3229
sub_9:Test (Best Model) - Loss: 1.3057 - Accuracy: 0.3905 - F1: 0.3586
sub_11:Test (Best Model) - Loss: 1.5124 - Accuracy: 0.3714 - F1: 0.3617
sub_8:Test (Best Model) - Loss: 1.3985 - Accuracy: 0.3667 - F1: 0.3373
sub_10:Test (Best Model) - Loss: 3.5363 - Accuracy: 0.2333 - F1: 0.1766
sub_14:Test (Best Model) - Loss: 3.0843 - Accuracy: 0.3000 - F1: 0.2225
sub_12:Test (Best Model) - Loss: 1.7632 - Accuracy: 0.4000 - F1: 0.3705
sub_9:Test (Best Model) - Loss: 1.3200 - Accuracy: 0.4571 - F1: 0.4038
sub_8:Test (Best Model) - Loss: 1.4968 - Accuracy: 0.4190 - F1: 0.3905
sub_10:Test (Best Model) - Loss: 1.7770 - Accuracy: 0.2905 - F1: 0.2863
sub_14:Test (Best Model) - Loss: 5.7205 - Accuracy: 0.2476 - F1: 0.1433
sub_8:Test (Best Model) - Loss: 1.4450 - Accuracy: 0.4238 - F1: 0.3649
sub_14:Test (Best Model) - Loss: 4.8481 - Accuracy: 0.2238 - F1: 0.1094
sub_10:Test (Best Model) - Loss: 2.5071 - Accuracy: 0.2381 - F1: 0.1974
sub_14:Test (Best Model) - Loss: 2.1914 - Accuracy: 0.3238 - F1: 0.2564

=== Summary Results ===

acc: 35.60 ± 4.15
F1: 30.66 ± 4.86
acc-in: 46.51 ± 3.84
F1-in: 41.49 ± 4.69
runing time: 1204.58 seconds
