lr: 0.0001
sub_2:Test (Best Model) - Loss: 2.0251 - Accuracy: 0.3714 - F1: 0.3269
sub_3:Test (Best Model) - Loss: 3.4745 - Accuracy: 0.2905 - F1: 0.2072
sub_1:Test (Best Model) - Loss: 5.3923 - Accuracy: 0.3238 - F1: 0.2223
sub_2:Test (Best Model) - Loss: 1.9711 - Accuracy: 0.3381 - F1: 0.2895
sub_3:Test (Best Model) - Loss: 2.9680 - Accuracy: 0.2810 - F1: 0.1898
sub_1:Test (Best Model) - Loss: 3.1349 - Accuracy: 0.3333 - F1: 0.2438
sub_3:Test (Best Model) - Loss: 2.2197 - Accuracy: 0.3476 - F1: 0.2805
sub_2:Test (Best Model) - Loss: 2.1012 - Accuracy: 0.3524 - F1: 0.3009
sub_1:Test (Best Model) - Loss: 4.3255 - Accuracy: 0.3476 - F1: 0.2719
sub_3:Test (Best Model) - Loss: 2.1249 - Accuracy: 0.3333 - F1: 0.2514
sub_2:Test (Best Model) - Loss: 1.8601 - Accuracy: 0.3333 - F1: 0.2830
sub_3:Test (Best Model) - Loss: 2.6006 - Accuracy: 0.3571 - F1: 0.2562
sub_1:Test (Best Model) - Loss: 4.6370 - Accuracy: 0.3238 - F1: 0.2508
sub_2:Test (Best Model) - Loss: 3.1881 - Accuracy: 0.2476 - F1: 0.1528
sub_1:Test (Best Model) - Loss: 3.9627 - Accuracy: 0.2952 - F1: 0.2234
sub_2:Test (Best Model) - Loss: 1.9887 - Accuracy: 0.4048 - F1: 0.3727
sub_3:Test (Best Model) - Loss: 2.5243 - Accuracy: 0.3810 - F1: 0.3664
sub_1:Test (Best Model) - Loss: 1.6790 - Accuracy: 0.3143 - F1: 0.2854
sub_3:Test (Best Model) - Loss: 1.5696 - Accuracy: 0.3619 - F1: 0.3541
sub_1:Test (Best Model) - Loss: 2.0132 - Accuracy: 0.3429 - F1: 0.3531
sub_2:Test (Best Model) - Loss: 2.5252 - Accuracy: 0.4476 - F1: 0.4462
sub_3:Test (Best Model) - Loss: 1.5719 - Accuracy: 0.3524 - F1: 0.3625
sub_1:Test (Best Model) - Loss: 3.2020 - Accuracy: 0.3381 - F1: 0.3448
sub_2:Test (Best Model) - Loss: 2.7147 - Accuracy: 0.4000 - F1: 0.3741
sub_1:Test (Best Model) - Loss: 1.6571 - Accuracy: 0.3000 - F1: 0.2928
sub_3:Test (Best Model) - Loss: 1.5239 - Accuracy: 0.3667 - F1: 0.3499
sub_3:Test (Best Model) - Loss: 1.5220 - Accuracy: 0.3143 - F1: 0.2999
sub_1:Test (Best Model) - Loss: 1.8477 - Accuracy: 0.3714 - F1: 0.3756
sub_2:Test (Best Model) - Loss: 2.1944 - Accuracy: 0.3905 - F1: 0.3580
sub_3:Test (Best Model) - Loss: 3.5511 - Accuracy: 0.3524 - F1: 0.3544
sub_3:Test (Best Model) - Loss: 4.1499 - Accuracy: 0.3048 - F1: 0.3034
sub_3:Test (Best Model) - Loss: 3.2389 - Accuracy: 0.2905 - F1: 0.2795
sub_3:Test (Best Model) - Loss: 3.1334 - Accuracy: 0.2905 - F1: 0.2894
sub_2:Test (Best Model) - Loss: 2.5034 - Accuracy: 0.3762 - F1: 0.3430
sub_1:Test (Best Model) - Loss: 3.6612 - Accuracy: 0.3714 - F1: 0.3487
sub_3:Test (Best Model) - Loss: 3.3297 - Accuracy: 0.3048 - F1: 0.3116
sub_1:Test (Best Model) - Loss: 1.9828 - Accuracy: 0.3476 - F1: 0.3195
sub_2:Test (Best Model) - Loss: 4.8812 - Accuracy: 0.2905 - F1: 0.2474
sub_2:Test (Best Model) - Loss: 3.9221 - Accuracy: 0.3476 - F1: 0.3166
sub_1:Test (Best Model) - Loss: 2.8932 - Accuracy: 0.3476 - F1: 0.3410
sub_2:Test (Best Model) - Loss: 3.2025 - Accuracy: 0.3524 - F1: 0.3183
sub_2:Test (Best Model) - Loss: 3.5968 - Accuracy: 0.3429 - F1: 0.3187
sub_1:Test (Best Model) - Loss: 3.9461 - Accuracy: 0.3762 - F1: 0.3546
sub_2:Test (Best Model) - Loss: 3.8575 - Accuracy: 0.3952 - F1: 0.3734
sub_1:Test (Best Model) - Loss: 2.5462 - Accuracy: 0.3667 - F1: 0.3428
sub_4:Test (Best Model) - Loss: 2.1436 - Accuracy: 0.3238 - F1: 0.2465
sub_5:Test (Best Model) - Loss: 14.2590 - Accuracy: 0.2095 - F1: 0.1558
sub_6:Test (Best Model) - Loss: 3.4636 - Accuracy: 0.2905 - F1: 0.2503
sub_4:Test (Best Model) - Loss: 1.5554 - Accuracy: 0.4286 - F1: 0.3878
sub_6:Test (Best Model) - Loss: 2.0787 - Accuracy: 0.3381 - F1: 0.2353
sub_4:Test (Best Model) - Loss: 1.6150 - Accuracy: 0.3667 - F1: 0.3172
sub_5:Test (Best Model) - Loss: 7.5325 - Accuracy: 0.2429 - F1: 0.2034
sub_4:Test (Best Model) - Loss: 1.6875 - Accuracy: 0.3429 - F1: 0.2857
sub_6:Test (Best Model) - Loss: 2.7947 - Accuracy: 0.3667 - F1: 0.3170
sub_6:Test (Best Model) - Loss: 2.0461 - Accuracy: 0.3048 - F1: 0.2454
sub_5:Test (Best Model) - Loss: 6.0825 - Accuracy: 0.2238 - F1: 0.1727
sub_6:Test (Best Model) - Loss: 2.9166 - Accuracy: 0.3143 - F1: 0.2649
sub_4:Test (Best Model) - Loss: 2.0840 - Accuracy: 0.3762 - F1: 0.3261
sub_6:Test (Best Model) - Loss: 2.0305 - Accuracy: 0.3429 - F1: 0.3458
sub_5:Test (Best Model) - Loss: 4.9720 - Accuracy: 0.2429 - F1: 0.2061
sub_4:Test (Best Model) - Loss: 3.0864 - Accuracy: 0.3952 - F1: 0.3331
sub_6:Test (Best Model) - Loss: 3.7174 - Accuracy: 0.3476 - F1: 0.3521
sub_5:Test (Best Model) - Loss: 10.6268 - Accuracy: 0.2714 - F1: 0.2320
sub_4:Test (Best Model) - Loss: 1.5283 - Accuracy: 0.4143 - F1: 0.3618
sub_6:Test (Best Model) - Loss: 2.8214 - Accuracy: 0.3143 - F1: 0.3227
sub_4:Test (Best Model) - Loss: 2.3835 - Accuracy: 0.3429 - F1: 0.2947
sub_5:Test (Best Model) - Loss: 9.7688 - Accuracy: 0.4714 - F1: 0.4430
sub_6:Test (Best Model) - Loss: 3.4453 - Accuracy: 0.3095 - F1: 0.3070
sub_4:Test (Best Model) - Loss: 2.0719 - Accuracy: 0.3714 - F1: 0.3180
sub_4:Test (Best Model) - Loss: 2.1266 - Accuracy: 0.3571 - F1: 0.2840
sub_5:Test (Best Model) - Loss: 7.0562 - Accuracy: 0.3905 - F1: 0.3515
sub_6:Test (Best Model) - Loss: 3.0561 - Accuracy: 0.3476 - F1: 0.3473
sub_6:Test (Best Model) - Loss: 5.5939 - Accuracy: 0.2429 - F1: 0.1738
sub_5:Test (Best Model) - Loss: 6.1304 - Accuracy: 0.3952 - F1: 0.3632
sub_5:Test (Best Model) - Loss: 2.7457 - Accuracy: 0.3524 - F1: 0.3323
sub_4:Test (Best Model) - Loss: 2.7274 - Accuracy: 0.4238 - F1: 0.4075
sub_6:Test (Best Model) - Loss: 4.7787 - Accuracy: 0.2381 - F1: 0.1600
sub_5:Test (Best Model) - Loss: 6.5745 - Accuracy: 0.4286 - F1: 0.3878
sub_4:Test (Best Model) - Loss: 1.6757 - Accuracy: 0.4048 - F1: 0.4001
sub_5:Test (Best Model) - Loss: 1.6321 - Accuracy: 0.3857 - F1: 0.3714
sub_6:Test (Best Model) - Loss: 2.9000 - Accuracy: 0.2762 - F1: 0.2123
sub_6:Test (Best Model) - Loss: 2.3197 - Accuracy: 0.2476 - F1: 0.1662
sub_5:Test (Best Model) - Loss: 2.6246 - Accuracy: 0.3524 - F1: 0.3586
sub_4:Test (Best Model) - Loss: 1.7870 - Accuracy: 0.4143 - F1: 0.4080
sub_4:Test (Best Model) - Loss: 1.8523 - Accuracy: 0.3762 - F1: 0.3648
sub_6:Test (Best Model) - Loss: 10.6826 - Accuracy: 0.2667 - F1: 0.1875
sub_5:Test (Best Model) - Loss: 2.1903 - Accuracy: 0.3619 - F1: 0.3657
sub_5:Test (Best Model) - Loss: 1.6397 - Accuracy: 0.4524 - F1: 0.4589
sub_4:Test (Best Model) - Loss: 1.7514 - Accuracy: 0.3952 - F1: 0.3684
sub_5:Test (Best Model) - Loss: 1.9514 - Accuracy: 0.3762 - F1: 0.3643
sub_7:Test (Best Model) - Loss: 1.5474 - Accuracy: 0.3095 - F1: 0.2946
sub_8:Test (Best Model) - Loss: 1.4415 - Accuracy: 0.4571 - F1: 0.4519
sub_9:Test (Best Model) - Loss: 3.3723 - Accuracy: 0.3762 - F1: 0.3029
sub_8:Test (Best Model) - Loss: 1.3895 - Accuracy: 0.4714 - F1: 0.4644
sub_7:Test (Best Model) - Loss: 2.5627 - Accuracy: 0.3048 - F1: 0.2893
sub_9:Test (Best Model) - Loss: 2.3091 - Accuracy: 0.4000 - F1: 0.3075
sub_7:Test (Best Model) - Loss: 1.8044 - Accuracy: 0.2810 - F1: 0.2565
sub_8:Test (Best Model) - Loss: 1.5221 - Accuracy: 0.4619 - F1: 0.4445
sub_9:Test (Best Model) - Loss: 3.0069 - Accuracy: 0.4095 - F1: 0.3175
sub_8:Test (Best Model) - Loss: 1.7063 - Accuracy: 0.4476 - F1: 0.4176
sub_7:Test (Best Model) - Loss: 1.8590 - Accuracy: 0.2714 - F1: 0.2468
sub_9:Test (Best Model) - Loss: 3.3804 - Accuracy: 0.3429 - F1: 0.2592
sub_8:Test (Best Model) - Loss: 1.4150 - Accuracy: 0.4714 - F1: 0.4495
sub_7:Test (Best Model) - Loss: 1.5651 - Accuracy: 0.3238 - F1: 0.2887
sub_8:Test (Best Model) - Loss: 1.3116 - Accuracy: 0.4190 - F1: 0.4098
sub_9:Test (Best Model) - Loss: 4.2576 - Accuracy: 0.3143 - F1: 0.2283
sub_7:Test (Best Model) - Loss: 1.7559 - Accuracy: 0.2952 - F1: 0.2568
sub_9:Test (Best Model) - Loss: 3.6149 - Accuracy: 0.3238 - F1: 0.2819
sub_7:Test (Best Model) - Loss: 1.8264 - Accuracy: 0.3048 - F1: 0.2791
sub_8:Test (Best Model) - Loss: 1.3164 - Accuracy: 0.3905 - F1: 0.3786
sub_9:Test (Best Model) - Loss: 4.1789 - Accuracy: 0.3333 - F1: 0.2899
sub_8:Test (Best Model) - Loss: 1.2593 - Accuracy: 0.4571 - F1: 0.4534
sub_9:Test (Best Model) - Loss: 3.9003 - Accuracy: 0.3190 - F1: 0.2791
sub_7:Test (Best Model) - Loss: 2.2443 - Accuracy: 0.4000 - F1: 0.3819
sub_9:Test (Best Model) - Loss: 4.0945 - Accuracy: 0.3524 - F1: 0.3210
sub_8:Test (Best Model) - Loss: 1.4122 - Accuracy: 0.4286 - F1: 0.3995
sub_7:Test (Best Model) - Loss: 1.8606 - Accuracy: 0.3524 - F1: 0.3324
sub_8:Test (Best Model) - Loss: 1.2294 - Accuracy: 0.4381 - F1: 0.4152
sub_7:Test (Best Model) - Loss: 1.9451 - Accuracy: 0.3238 - F1: 0.2727
sub_8:Test (Best Model) - Loss: 5.0037 - Accuracy: 0.3238 - F1: 0.2852
sub_9:Test (Best Model) - Loss: 3.7237 - Accuracy: 0.3286 - F1: 0.2974
sub_7:Test (Best Model) - Loss: 3.2360 - Accuracy: 0.2810 - F1: 0.2806
sub_8:Test (Best Model) - Loss: 2.9886 - Accuracy: 0.3571 - F1: 0.3289
sub_9:Test (Best Model) - Loss: 3.1539 - Accuracy: 0.3238 - F1: 0.2686
sub_7:Test (Best Model) - Loss: 2.6012 - Accuracy: 0.3143 - F1: 0.2965
sub_9:Test (Best Model) - Loss: 3.0906 - Accuracy: 0.3286 - F1: 0.2992
sub_7:Test (Best Model) - Loss: 2.2217 - Accuracy: 0.2810 - F1: 0.2538
sub_8:Test (Best Model) - Loss: 6.1653 - Accuracy: 0.2857 - F1: 0.2482
sub_7:Test (Best Model) - Loss: 2.1923 - Accuracy: 0.3048 - F1: 0.2835
sub_9:Test (Best Model) - Loss: 3.8051 - Accuracy: 0.3238 - F1: 0.2856
sub_7:Test (Best Model) - Loss: 2.5692 - Accuracy: 0.3095 - F1: 0.2848
sub_8:Test (Best Model) - Loss: 4.1314 - Accuracy: 0.3571 - F1: 0.3231
sub_9:Test (Best Model) - Loss: 2.7056 - Accuracy: 0.3619 - F1: 0.3349
sub_8:Test (Best Model) - Loss: 3.2160 - Accuracy: 0.3190 - F1: 0.2776
sub_9:Test (Best Model) - Loss: 4.4958 - Accuracy: 0.2952 - F1: 0.2671
sub_10:Test (Best Model) - Loss: 1.8447 - Accuracy: 0.4238 - F1: 0.3549
sub_12:Test (Best Model) - Loss: 1.5038 - Accuracy: 0.3286 - F1: 0.3250
sub_11:Test (Best Model) - Loss: 2.1742 - Accuracy: 0.4571 - F1: 0.4219
sub_10:Test (Best Model) - Loss: 1.8180 - Accuracy: 0.3667 - F1: 0.3152
sub_11:Test (Best Model) - Loss: 1.5403 - Accuracy: 0.4714 - F1: 0.4311
sub_10:Test (Best Model) - Loss: 1.9012 - Accuracy: 0.3429 - F1: 0.2393
sub_12:Test (Best Model) - Loss: 1.7973 - Accuracy: 0.3190 - F1: 0.3142
sub_11:Test (Best Model) - Loss: 1.6430 - Accuracy: 0.4476 - F1: 0.4276
sub_10:Test (Best Model) - Loss: 2.5506 - Accuracy: 0.4238 - F1: 0.3695
sub_12:Test (Best Model) - Loss: 1.7409 - Accuracy: 0.3810 - F1: 0.3703
sub_11:Test (Best Model) - Loss: 1.5107 - Accuracy: 0.4238 - F1: 0.3931
sub_10:Test (Best Model) - Loss: 1.8394 - Accuracy: 0.3095 - F1: 0.2293
sub_12:Test (Best Model) - Loss: 1.8062 - Accuracy: 0.3524 - F1: 0.3395
sub_11:Test (Best Model) - Loss: 2.0195 - Accuracy: 0.3857 - F1: 0.3574
sub_12:Test (Best Model) - Loss: 1.5088 - Accuracy: 0.3381 - F1: 0.3145
sub_10:Test (Best Model) - Loss: 1.9909 - Accuracy: 0.4000 - F1: 0.3788
sub_12:Test (Best Model) - Loss: 1.7267 - Accuracy: 0.2571 - F1: 0.2042
sub_11:Test (Best Model) - Loss: 2.0152 - Accuracy: 0.4714 - F1: 0.4404
sub_12:Test (Best Model) - Loss: 2.4385 - Accuracy: 0.3667 - F1: 0.3141
sub_10:Test (Best Model) - Loss: 2.1961 - Accuracy: 0.3857 - F1: 0.3408
sub_11:Test (Best Model) - Loss: 2.0787 - Accuracy: 0.4857 - F1: 0.4705
sub_10:Test (Best Model) - Loss: 1.6472 - Accuracy: 0.4190 - F1: 0.3897
sub_12:Test (Best Model) - Loss: 2.2474 - Accuracy: 0.3238 - F1: 0.2709
sub_11:Test (Best Model) - Loss: 1.9333 - Accuracy: 0.4667 - F1: 0.4395
sub_10:Test (Best Model) - Loss: 1.5366 - Accuracy: 0.4000 - F1: 0.3632
sub_11:Test (Best Model) - Loss: 1.9958 - Accuracy: 0.4952 - F1: 0.4637
sub_12:Test (Best Model) - Loss: 2.4973 - Accuracy: 0.3524 - F1: 0.3155
sub_10:Test (Best Model) - Loss: 1.6809 - Accuracy: 0.3762 - F1: 0.3424
sub_11:Test (Best Model) - Loss: 2.1220 - Accuracy: 0.3952 - F1: 0.3517
sub_10:Test (Best Model) - Loss: 4.6019 - Accuracy: 0.2905 - F1: 0.2438
sub_11:Test (Best Model) - Loss: 1.6785 - Accuracy: 0.4190 - F1: 0.4268
sub_12:Test (Best Model) - Loss: 2.5954 - Accuracy: 0.2952 - F1: 0.2724
sub_10:Test (Best Model) - Loss: 4.4134 - Accuracy: 0.2857 - F1: 0.2425
sub_11:Test (Best Model) - Loss: 1.7014 - Accuracy: 0.4238 - F1: 0.4392
sub_12:Test (Best Model) - Loss: 3.5124 - Accuracy: 0.3571 - F1: 0.3412
sub_11:Test (Best Model) - Loss: 1.6466 - Accuracy: 0.3857 - F1: 0.3953
sub_10:Test (Best Model) - Loss: 3.1041 - Accuracy: 0.3143 - F1: 0.2616
sub_12:Test (Best Model) - Loss: 5.7049 - Accuracy: 0.3381 - F1: 0.3406
sub_11:Test (Best Model) - Loss: 1.5587 - Accuracy: 0.4429 - F1: 0.4440
sub_10:Test (Best Model) - Loss: 3.5635 - Accuracy: 0.3143 - F1: 0.2714
sub_10:Test (Best Model) - Loss: 3.9323 - Accuracy: 0.2857 - F1: 0.2290
sub_12:Test (Best Model) - Loss: 3.6779 - Accuracy: 0.3857 - F1: 0.3785
sub_11:Test (Best Model) - Loss: 1.5354 - Accuracy: 0.4095 - F1: 0.4123
sub_12:Test (Best Model) - Loss: 2.9290 - Accuracy: 0.3095 - F1: 0.2997
sub_12:Test (Best Model) - Loss: 4.1834 - Accuracy: 0.3238 - F1: 0.2871
sub_13:Test (Best Model) - Loss: 1.7565 - Accuracy: 0.3619 - F1: 0.2944
sub_14:Test (Best Model) - Loss: 3.1473 - Accuracy: 0.3667 - F1: 0.3560
sub_14:Test (Best Model) - Loss: 3.3387 - Accuracy: 0.3810 - F1: 0.3518
sub_13:Test (Best Model) - Loss: 2.4052 - Accuracy: 0.3429 - F1: 0.2281
sub_13:Test (Best Model) - Loss: 2.2296 - Accuracy: 0.3333 - F1: 0.2397
sub_14:Test (Best Model) - Loss: 2.9151 - Accuracy: 0.3667 - F1: 0.3540
sub_13:Test (Best Model) - Loss: 2.3278 - Accuracy: 0.2952 - F1: 0.1814
sub_13:Test (Best Model) - Loss: 1.6390 - Accuracy: 0.3476 - F1: 0.2461
sub_14:Test (Best Model) - Loss: 2.9698 - Accuracy: 0.3429 - F1: 0.3194
sub_13:Test (Best Model) - Loss: 1.7680 - Accuracy: 0.3619 - F1: 0.3442
sub_13:Test (Best Model) - Loss: 1.8970 - Accuracy: 0.3667 - F1: 0.3658
sub_14:Test (Best Model) - Loss: 2.3700 - Accuracy: 0.3143 - F1: 0.2942
sub_14:Test (Best Model) - Loss: 1.2755 - Accuracy: 0.4810 - F1: 0.4451
sub_13:Test (Best Model) - Loss: 1.8294 - Accuracy: 0.3619 - F1: 0.3553
sub_14:Test (Best Model) - Loss: 1.3029 - Accuracy: 0.4286 - F1: 0.4014
sub_13:Test (Best Model) - Loss: 1.7108 - Accuracy: 0.4143 - F1: 0.3958
sub_13:Test (Best Model) - Loss: 1.7546 - Accuracy: 0.3476 - F1: 0.3451
sub_14:Test (Best Model) - Loss: 1.2274 - Accuracy: 0.4619 - F1: 0.4123
sub_13:Test (Best Model) - Loss: 1.8678 - Accuracy: 0.4381 - F1: 0.4182
sub_14:Test (Best Model) - Loss: 1.5002 - Accuracy: 0.5143 - F1: 0.4705
sub_13:Test (Best Model) - Loss: 2.3005 - Accuracy: 0.4571 - F1: 0.4041
sub_14:Test (Best Model) - Loss: 1.1790 - Accuracy: 0.5333 - F1: 0.5015
sub_14:Test (Best Model) - Loss: 3.0177 - Accuracy: 0.2571 - F1: 0.1754
sub_13:Test (Best Model) - Loss: 2.2899 - Accuracy: 0.4381 - F1: 0.3817
sub_14:Test (Best Model) - Loss: 2.6289 - Accuracy: 0.2524 - F1: 0.1678
sub_14:Test (Best Model) - Loss: 2.7641 - Accuracy: 0.2619 - F1: 0.1974
sub_13:Test (Best Model) - Loss: 2.0902 - Accuracy: 0.3714 - F1: 0.3569
sub_14:Test (Best Model) - Loss: 3.6643 - Accuracy: 0.2571 - F1: 0.1761
sub_13:Test (Best Model) - Loss: 2.1261 - Accuracy: 0.4190 - F1: 0.3964
sub_14:Test (Best Model) - Loss: 3.2124 - Accuracy: 0.2476 - F1: 0.1637

=== Summary Results ===

acc: 35.62 ± 3.50
F1: 32.05 ± 3.92
acc-in: 45.42 ± 4.33
F1-in: 42.22 ± 4.94
runing time: 2902.95 seconds
