lr: 0.0001
sub_1:Test (Best Model) - Loss: 2.0270 - Accuracy: 0.2857 - F1: 0.2486
sub_2:Test (Best Model) - Loss: 1.5264 - Accuracy: 0.4381 - F1: 0.4147
sub_3:Test (Best Model) - Loss: 3.2597 - Accuracy: 0.3476 - F1: 0.2461
sub_2:Test (Best Model) - Loss: 1.5282 - Accuracy: 0.3810 - F1: 0.3435
sub_1:Test (Best Model) - Loss: 2.2284 - Accuracy: 0.2905 - F1: 0.2519
sub_2:Test (Best Model) - Loss: 1.4125 - Accuracy: 0.4238 - F1: 0.3878
sub_1:Test (Best Model) - Loss: 1.9969 - Accuracy: 0.3143 - F1: 0.2529
sub_3:Test (Best Model) - Loss: 3.5661 - Accuracy: 0.2762 - F1: 0.1842
sub_2:Test (Best Model) - Loss: 1.5529 - Accuracy: 0.4381 - F1: 0.3968
sub_1:Test (Best Model) - Loss: 2.4089 - Accuracy: 0.2905 - F1: 0.2224
sub_2:Test (Best Model) - Loss: 2.0875 - Accuracy: 0.3048 - F1: 0.2038
sub_3:Test (Best Model) - Loss: 2.5772 - Accuracy: 0.3714 - F1: 0.2883
sub_1:Test (Best Model) - Loss: 2.9857 - Accuracy: 0.2905 - F1: 0.2176
sub_2:Test (Best Model) - Loss: 1.9255 - Accuracy: 0.4143 - F1: 0.3619
sub_3:Test (Best Model) - Loss: 3.2119 - Accuracy: 0.3429 - F1: 0.2539
sub_1:Test (Best Model) - Loss: 1.3727 - Accuracy: 0.3905 - F1: 0.3691
sub_2:Test (Best Model) - Loss: 1.2880 - Accuracy: 0.4000 - F1: 0.3967
sub_3:Test (Best Model) - Loss: 3.0260 - Accuracy: 0.2333 - F1: 0.1234
sub_1:Test (Best Model) - Loss: 1.3994 - Accuracy: 0.3714 - F1: 0.3748
sub_2:Test (Best Model) - Loss: 1.2910 - Accuracy: 0.4286 - F1: 0.4088
sub_3:Test (Best Model) - Loss: 1.5192 - Accuracy: 0.3762 - F1: 0.3370
sub_2:Test (Best Model) - Loss: 1.3486 - Accuracy: 0.4143 - F1: 0.4119
sub_1:Test (Best Model) - Loss: 1.3146 - Accuracy: 0.4000 - F1: 0.3994
sub_1:Test (Best Model) - Loss: 1.3987 - Accuracy: 0.3571 - F1: 0.3538
sub_3:Test (Best Model) - Loss: 1.5300 - Accuracy: 0.3857 - F1: 0.3701
sub_2:Test (Best Model) - Loss: 1.4732 - Accuracy: 0.4286 - F1: 0.4209
sub_1:Test (Best Model) - Loss: 1.2633 - Accuracy: 0.4143 - F1: 0.4095
sub_3:Test (Best Model) - Loss: 1.5265 - Accuracy: 0.3619 - F1: 0.3385
sub_2:Test (Best Model) - Loss: 2.0243 - Accuracy: 0.2857 - F1: 0.2738
sub_1:Test (Best Model) - Loss: 1.6271 - Accuracy: 0.3619 - F1: 0.3419
sub_2:Test (Best Model) - Loss: 2.2935 - Accuracy: 0.2857 - F1: 0.2619
sub_3:Test (Best Model) - Loss: 1.5604 - Accuracy: 0.3429 - F1: 0.3313
sub_1:Test (Best Model) - Loss: 1.5236 - Accuracy: 0.3381 - F1: 0.3135
sub_3:Test (Best Model) - Loss: 1.4300 - Accuracy: 0.3810 - F1: 0.3664
sub_2:Test (Best Model) - Loss: 3.2296 - Accuracy: 0.2619 - F1: 0.2283
sub_3:Test (Best Model) - Loss: 1.7886 - Accuracy: 0.3190 - F1: 0.2862
sub_3:Test (Best Model) - Loss: 2.1573 - Accuracy: 0.3190 - F1: 0.2947
sub_1:Test (Best Model) - Loss: 1.8703 - Accuracy: 0.3857 - F1: 0.3389
sub_2:Test (Best Model) - Loss: 2.0934 - Accuracy: 0.2810 - F1: 0.2637
sub_3:Test (Best Model) - Loss: 1.7967 - Accuracy: 0.3381 - F1: 0.3114
sub_2:Test (Best Model) - Loss: 2.4619 - Accuracy: 0.2524 - F1: 0.2039
sub_1:Test (Best Model) - Loss: 1.8460 - Accuracy: 0.3333 - F1: 0.2889
sub_1:Test (Best Model) - Loss: 1.6317 - Accuracy: 0.3714 - F1: 0.3232
sub_3:Test (Best Model) - Loss: 1.9319 - Accuracy: 0.3286 - F1: 0.3113
sub_3:Test (Best Model) - Loss: 1.9523 - Accuracy: 0.3333 - F1: 0.3172
sub_4:Test (Best Model) - Loss: 1.7635 - Accuracy: 0.3143 - F1: 0.3028
sub_6:Test (Best Model) - Loss: 1.7715 - Accuracy: 0.3619 - F1: 0.3130
sub_6:Test (Best Model) - Loss: 1.6325 - Accuracy: 0.3476 - F1: 0.2369
sub_4:Test (Best Model) - Loss: 1.8167 - Accuracy: 0.3143 - F1: 0.2847
sub_5:Test (Best Model) - Loss: 5.0159 - Accuracy: 0.2714 - F1: 0.2356
sub_4:Test (Best Model) - Loss: 1.9234 - Accuracy: 0.2810 - F1: 0.2401
sub_6:Test (Best Model) - Loss: 1.8186 - Accuracy: 0.3190 - F1: 0.2703
sub_4:Test (Best Model) - Loss: 1.8192 - Accuracy: 0.3095 - F1: 0.2843
sub_5:Test (Best Model) - Loss: 4.8758 - Accuracy: 0.2952 - F1: 0.2341
sub_6:Test (Best Model) - Loss: 1.6582 - Accuracy: 0.2857 - F1: 0.2229
sub_4:Test (Best Model) - Loss: 1.7807 - Accuracy: 0.3286 - F1: 0.2971
sub_6:Test (Best Model) - Loss: 1.9271 - Accuracy: 0.3190 - F1: 0.2818
sub_5:Test (Best Model) - Loss: 3.6968 - Accuracy: 0.2952 - F1: 0.2897
sub_4:Test (Best Model) - Loss: 1.7928 - Accuracy: 0.3905 - F1: 0.3252
sub_5:Test (Best Model) - Loss: 2.6987 - Accuracy: 0.2714 - F1: 0.2406
sub_6:Test (Best Model) - Loss: 2.1441 - Accuracy: 0.3476 - F1: 0.3110
sub_5:Test (Best Model) - Loss: 3.9035 - Accuracy: 0.2857 - F1: 0.2512
sub_4:Test (Best Model) - Loss: 1.5757 - Accuracy: 0.3810 - F1: 0.3336
sub_6:Test (Best Model) - Loss: 1.7945 - Accuracy: 0.3190 - F1: 0.2892
sub_5:Test (Best Model) - Loss: 1.4472 - Accuracy: 0.3762 - F1: 0.3422
sub_4:Test (Best Model) - Loss: 2.0661 - Accuracy: 0.3905 - F1: 0.3735
sub_5:Test (Best Model) - Loss: 1.7720 - Accuracy: 0.3333 - F1: 0.2866
sub_4:Test (Best Model) - Loss: 1.3693 - Accuracy: 0.3952 - F1: 0.3778
sub_6:Test (Best Model) - Loss: 2.2449 - Accuracy: 0.3381 - F1: 0.3377
sub_4:Test (Best Model) - Loss: 1.7639 - Accuracy: 0.3667 - F1: 0.3396
sub_5:Test (Best Model) - Loss: 1.6411 - Accuracy: 0.3381 - F1: 0.2869
sub_6:Test (Best Model) - Loss: 2.2000 - Accuracy: 0.3381 - F1: 0.3024
sub_4:Test (Best Model) - Loss: 1.5396 - Accuracy: 0.3667 - F1: 0.3005
sub_5:Test (Best Model) - Loss: 1.4705 - Accuracy: 0.3429 - F1: 0.3078
sub_6:Test (Best Model) - Loss: 2.2448 - Accuracy: 0.3238 - F1: 0.3029
sub_4:Test (Best Model) - Loss: 1.5055 - Accuracy: 0.3762 - F1: 0.3503
sub_5:Test (Best Model) - Loss: 1.4847 - Accuracy: 0.4048 - F1: 0.3701
sub_6:Test (Best Model) - Loss: 1.9875 - Accuracy: 0.3476 - F1: 0.3124
sub_4:Test (Best Model) - Loss: 1.4832 - Accuracy: 0.4190 - F1: 0.3877
sub_6:Test (Best Model) - Loss: 1.9062 - Accuracy: 0.3000 - F1: 0.2728
sub_4:Test (Best Model) - Loss: 1.4458 - Accuracy: 0.3619 - F1: 0.3331
sub_5:Test (Best Model) - Loss: 3.0027 - Accuracy: 0.2143 - F1: 0.1591
sub_6:Test (Best Model) - Loss: 1.9627 - Accuracy: 0.3095 - F1: 0.2560
sub_4:Test (Best Model) - Loss: 1.5173 - Accuracy: 0.3905 - F1: 0.3650
sub_6:Test (Best Model) - Loss: 2.1130 - Accuracy: 0.3095 - F1: 0.2571
sub_5:Test (Best Model) - Loss: 3.0884 - Accuracy: 0.2095 - F1: 0.1793
sub_6:Test (Best Model) - Loss: 2.0072 - Accuracy: 0.3048 - F1: 0.2441
sub_5:Test (Best Model) - Loss: 1.7971 - Accuracy: 0.2476 - F1: 0.2254
sub_5:Test (Best Model) - Loss: 1.8255 - Accuracy: 0.2095 - F1: 0.1784
sub_5:Test (Best Model) - Loss: 1.8686 - Accuracy: 0.2810 - F1: 0.2574
sub_7:Test (Best Model) - Loss: 1.6779 - Accuracy: 0.2667 - F1: 0.2510
sub_9:Test (Best Model) - Loss: 2.6429 - Accuracy: 0.3095 - F1: 0.1742
sub_7:Test (Best Model) - Loss: 1.7813 - Accuracy: 0.3333 - F1: 0.3028
sub_8:Test (Best Model) - Loss: 1.7126 - Accuracy: 0.4571 - F1: 0.4489
sub_9:Test (Best Model) - Loss: 2.5581 - Accuracy: 0.3095 - F1: 0.2171
sub_7:Test (Best Model) - Loss: 1.8785 - Accuracy: 0.3381 - F1: 0.3206
sub_7:Test (Best Model) - Loss: 1.5265 - Accuracy: 0.3143 - F1: 0.2936
sub_8:Test (Best Model) - Loss: 1.6523 - Accuracy: 0.4524 - F1: 0.4206
sub_9:Test (Best Model) - Loss: 2.1307 - Accuracy: 0.3000 - F1: 0.2177
sub_7:Test (Best Model) - Loss: 2.0493 - Accuracy: 0.3000 - F1: 0.3024
sub_8:Test (Best Model) - Loss: 1.6221 - Accuracy: 0.4381 - F1: 0.4106
sub_9:Test (Best Model) - Loss: 3.1560 - Accuracy: 0.2905 - F1: 0.1920
sub_8:Test (Best Model) - Loss: 1.3380 - Accuracy: 0.4714 - F1: 0.4020
sub_7:Test (Best Model) - Loss: 1.6652 - Accuracy: 0.3762 - F1: 0.3421
sub_8:Test (Best Model) - Loss: 1.2835 - Accuracy: 0.4048 - F1: 0.3920
sub_9:Test (Best Model) - Loss: 3.1665 - Accuracy: 0.2667 - F1: 0.1820
sub_7:Test (Best Model) - Loss: 1.4638 - Accuracy: 0.3667 - F1: 0.3457
sub_9:Test (Best Model) - Loss: 1.9216 - Accuracy: 0.3333 - F1: 0.2899
sub_7:Test (Best Model) - Loss: 1.4975 - Accuracy: 0.3571 - F1: 0.3223
sub_8:Test (Best Model) - Loss: 1.1115 - Accuracy: 0.5429 - F1: 0.5335
sub_9:Test (Best Model) - Loss: 1.5209 - Accuracy: 0.3619 - F1: 0.3083
sub_8:Test (Best Model) - Loss: 1.1219 - Accuracy: 0.5143 - F1: 0.4972
sub_9:Test (Best Model) - Loss: 2.6159 - Accuracy: 0.4333 - F1: 0.3736
sub_7:Test (Best Model) - Loss: 1.5695 - Accuracy: 0.3333 - F1: 0.2979
sub_9:Test (Best Model) - Loss: 1.6305 - Accuracy: 0.3381 - F1: 0.2835
sub_7:Test (Best Model) - Loss: 1.5465 - Accuracy: 0.3571 - F1: 0.3419
sub_8:Test (Best Model) - Loss: 1.2829 - Accuracy: 0.4810 - F1: 0.4542
sub_9:Test (Best Model) - Loss: 1.8383 - Accuracy: 0.3429 - F1: 0.2922
sub_8:Test (Best Model) - Loss: 1.2725 - Accuracy: 0.5190 - F1: 0.4913
sub_9:Test (Best Model) - Loss: 2.1075 - Accuracy: 0.3048 - F1: 0.2551
sub_7:Test (Best Model) - Loss: 1.8552 - Accuracy: 0.3238 - F1: 0.2885
sub_8:Test (Best Model) - Loss: 1.0967 - Accuracy: 0.5238 - F1: 0.5163
sub_7:Test (Best Model) - Loss: 1.7016 - Accuracy: 0.3048 - F1: 0.2808
sub_8:Test (Best Model) - Loss: 3.7672 - Accuracy: 0.3810 - F1: 0.3560
sub_9:Test (Best Model) - Loss: 2.5339 - Accuracy: 0.3048 - F1: 0.2435
sub_7:Test (Best Model) - Loss: 1.9970 - Accuracy: 0.3571 - F1: 0.3436
sub_9:Test (Best Model) - Loss: 2.1301 - Accuracy: 0.3333 - F1: 0.2870
sub_8:Test (Best Model) - Loss: 3.1165 - Accuracy: 0.3952 - F1: 0.3415
sub_7:Test (Best Model) - Loss: 1.6824 - Accuracy: 0.3476 - F1: 0.3124
sub_7:Test (Best Model) - Loss: 1.7264 - Accuracy: 0.2952 - F1: 0.2574
sub_9:Test (Best Model) - Loss: 2.1842 - Accuracy: 0.3429 - F1: 0.3290
sub_8:Test (Best Model) - Loss: 4.7797 - Accuracy: 0.3905 - F1: 0.3537
sub_8:Test (Best Model) - Loss: 3.3489 - Accuracy: 0.3667 - F1: 0.3066
sub_9:Test (Best Model) - Loss: 2.5888 - Accuracy: 0.3381 - F1: 0.2700
sub_8:Test (Best Model) - Loss: 2.5566 - Accuracy: 0.3524 - F1: 0.3008
sub_11:Test (Best Model) - Loss: 2.5061 - Accuracy: 0.3524 - F1: 0.3193
sub_10:Test (Best Model) - Loss: 2.1277 - Accuracy: 0.3857 - F1: 0.3615
sub_12:Test (Best Model) - Loss: 1.4539 - Accuracy: 0.4048 - F1: 0.3645
sub_10:Test (Best Model) - Loss: 1.7355 - Accuracy: 0.4286 - F1: 0.3884
sub_12:Test (Best Model) - Loss: 1.4169 - Accuracy: 0.3952 - F1: 0.3622
sub_11:Test (Best Model) - Loss: 2.2718 - Accuracy: 0.3571 - F1: 0.3303
sub_10:Test (Best Model) - Loss: 2.0779 - Accuracy: 0.3810 - F1: 0.3337
sub_12:Test (Best Model) - Loss: 1.7226 - Accuracy: 0.3667 - F1: 0.3368
sub_10:Test (Best Model) - Loss: 1.4480 - Accuracy: 0.3857 - F1: 0.3153
sub_11:Test (Best Model) - Loss: 2.0414 - Accuracy: 0.3905 - F1: 0.3561
sub_12:Test (Best Model) - Loss: 1.5943 - Accuracy: 0.3571 - F1: 0.3414
sub_10:Test (Best Model) - Loss: 1.6388 - Accuracy: 0.4190 - F1: 0.3722
sub_11:Test (Best Model) - Loss: 1.8638 - Accuracy: 0.3333 - F1: 0.3010
sub_12:Test (Best Model) - Loss: 1.8754 - Accuracy: 0.3762 - F1: 0.3542
sub_11:Test (Best Model) - Loss: 2.3250 - Accuracy: 0.3429 - F1: 0.3060
sub_10:Test (Best Model) - Loss: 1.7188 - Accuracy: 0.3286 - F1: 0.2642
sub_11:Test (Best Model) - Loss: 2.1313 - Accuracy: 0.4000 - F1: 0.3630
sub_10:Test (Best Model) - Loss: 1.5131 - Accuracy: 0.3714 - F1: 0.3113
sub_12:Test (Best Model) - Loss: 1.6028 - Accuracy: 0.4429 - F1: 0.3978
sub_10:Test (Best Model) - Loss: 1.4018 - Accuracy: 0.3429 - F1: 0.2967
sub_12:Test (Best Model) - Loss: 1.6815 - Accuracy: 0.3762 - F1: 0.3028
sub_11:Test (Best Model) - Loss: 1.9442 - Accuracy: 0.4048 - F1: 0.3826
sub_10:Test (Best Model) - Loss: 1.7985 - Accuracy: 0.3048 - F1: 0.2393
sub_12:Test (Best Model) - Loss: 1.8423 - Accuracy: 0.4095 - F1: 0.3399
sub_10:Test (Best Model) - Loss: 1.5662 - Accuracy: 0.3238 - F1: 0.2595
sub_11:Test (Best Model) - Loss: 1.8474 - Accuracy: 0.3667 - F1: 0.3504
sub_12:Test (Best Model) - Loss: 1.8339 - Accuracy: 0.4143 - F1: 0.3653
sub_10:Test (Best Model) - Loss: 2.4453 - Accuracy: 0.2667 - F1: 0.2275
sub_11:Test (Best Model) - Loss: 1.9554 - Accuracy: 0.3762 - F1: 0.3567
sub_12:Test (Best Model) - Loss: 1.7230 - Accuracy: 0.3905 - F1: 0.3364
sub_10:Test (Best Model) - Loss: 3.9600 - Accuracy: 0.2810 - F1: 0.2192
sub_11:Test (Best Model) - Loss: 2.0297 - Accuracy: 0.3619 - F1: 0.3412
sub_11:Test (Best Model) - Loss: 2.0394 - Accuracy: 0.3619 - F1: 0.3566
sub_12:Test (Best Model) - Loss: 4.5710 - Accuracy: 0.2905 - F1: 0.2583
sub_10:Test (Best Model) - Loss: 2.4325 - Accuracy: 0.2714 - F1: 0.2285
sub_12:Test (Best Model) - Loss: 4.2239 - Accuracy: 0.2905 - F1: 0.1999
sub_11:Test (Best Model) - Loss: 2.4201 - Accuracy: 0.3905 - F1: 0.3915
sub_10:Test (Best Model) - Loss: 2.8872 - Accuracy: 0.2810 - F1: 0.2080
sub_10:Test (Best Model) - Loss: 1.9649 - Accuracy: 0.2714 - F1: 0.1807
sub_12:Test (Best Model) - Loss: 3.5622 - Accuracy: 0.3000 - F1: 0.2381
sub_11:Test (Best Model) - Loss: 2.0149 - Accuracy: 0.3857 - F1: 0.3699
sub_12:Test (Best Model) - Loss: 7.4146 - Accuracy: 0.2333 - F1: 0.1538
sub_11:Test (Best Model) - Loss: 1.9198 - Accuracy: 0.3810 - F1: 0.3619
sub_11:Test (Best Model) - Loss: 1.7949 - Accuracy: 0.4095 - F1: 0.4117
sub_12:Test (Best Model) - Loss: 4.0278 - Accuracy: 0.3524 - F1: 0.2570
sub_14:Test (Best Model) - Loss: 1.6681 - Accuracy: 0.3905 - F1: 0.4126
sub_13:Test (Best Model) - Loss: 1.8296 - Accuracy: 0.3762 - F1: 0.2838
sub_14:Test (Best Model) - Loss: 2.0454 - Accuracy: 0.4048 - F1: 0.4232
sub_13:Test (Best Model) - Loss: 1.3761 - Accuracy: 0.4000 - F1: 0.3775
sub_14:Test (Best Model) - Loss: 1.6699 - Accuracy: 0.3857 - F1: 0.3932
sub_13:Test (Best Model) - Loss: 2.4436 - Accuracy: 0.3333 - F1: 0.2596
sub_14:Test (Best Model) - Loss: 2.2251 - Accuracy: 0.4048 - F1: 0.4070
sub_13:Test (Best Model) - Loss: 1.3235 - Accuracy: 0.4714 - F1: 0.3976
sub_14:Test (Best Model) - Loss: 2.0175 - Accuracy: 0.3524 - F1: 0.3637
sub_13:Test (Best Model) - Loss: 2.0734 - Accuracy: 0.3190 - F1: 0.2413
sub_14:Test (Best Model) - Loss: 1.3233 - Accuracy: 0.4190 - F1: 0.3794
sub_13:Test (Best Model) - Loss: 1.5727 - Accuracy: 0.3429 - F1: 0.3454
sub_13:Test (Best Model) - Loss: 1.4724 - Accuracy: 0.3905 - F1: 0.3697
sub_14:Test (Best Model) - Loss: 1.2934 - Accuracy: 0.4381 - F1: 0.3999
sub_13:Test (Best Model) - Loss: 1.7262 - Accuracy: 0.3952 - F1: 0.3605
sub_14:Test (Best Model) - Loss: 1.2712 - Accuracy: 0.4571 - F1: 0.3958
sub_13:Test (Best Model) - Loss: 1.5525 - Accuracy: 0.3333 - F1: 0.3105
sub_14:Test (Best Model) - Loss: 1.2445 - Accuracy: 0.4714 - F1: 0.4545
sub_13:Test (Best Model) - Loss: 1.5987 - Accuracy: 0.3667 - F1: 0.3582
sub_14:Test (Best Model) - Loss: 1.3084 - Accuracy: 0.4381 - F1: 0.3915
sub_13:Test (Best Model) - Loss: 1.4070 - Accuracy: 0.4143 - F1: 0.3528
sub_14:Test (Best Model) - Loss: 2.1764 - Accuracy: 0.3000 - F1: 0.2415
sub_13:Test (Best Model) - Loss: 1.4812 - Accuracy: 0.4524 - F1: 0.4065
sub_14:Test (Best Model) - Loss: 2.2626 - Accuracy: 0.3000 - F1: 0.2333
sub_13:Test (Best Model) - Loss: 1.4891 - Accuracy: 0.4143 - F1: 0.3721
sub_14:Test (Best Model) - Loss: 2.4605 - Accuracy: 0.2857 - F1: 0.2295
sub_13:Test (Best Model) - Loss: 1.5212 - Accuracy: 0.4048 - F1: 0.3695
sub_13:Test (Best Model) - Loss: 1.5553 - Accuracy: 0.4286 - F1: 0.3981
sub_14:Test (Best Model) - Loss: 2.5063 - Accuracy: 0.2667 - F1: 0.2096
sub_14:Test (Best Model) - Loss: 2.7295 - Accuracy: 0.3190 - F1: 0.2517

=== Summary Results ===

acc: 35.44 ± 3.52
F1: 31.54 ± 4.08
acc-in: 45.31 ± 3.83
F1-in: 42.20 ± 4.38
runing time: 3006.50 seconds
