lr: 1e-05
sub_7:Test (Best Model) - Loss: 1.6242 - Accuracy: 0.3000 - F1: 0.2456
sub_11:Test (Best Model) - Loss: 1.4539 - Accuracy: 0.3857 - F1: 0.3209
sub_3:Test (Best Model) - Loss: 1.5076 - Accuracy: 0.3190 - F1: 0.2196
sub_5:Test (Best Model) - Loss: 1.6463 - Accuracy: 0.2667 - F1: 0.2236
sub_9:Test (Best Model) - Loss: 1.4177 - Accuracy: 0.3762 - F1: 0.2870
sub_8:Test (Best Model) - Loss: 1.2355 - Accuracy: 0.4238 - F1: 0.3598
sub_6:Test (Best Model) - Loss: 1.5693 - Accuracy: 0.3238 - F1: 0.2716
sub_2:Test (Best Model) - Loss: 1.5642 - Accuracy: 0.3905 - F1: 0.3131
sub_10:Test (Best Model) - Loss: 1.5798 - Accuracy: 0.3286 - F1: 0.2407
sub_12:Test (Best Model) - Loss: 1.3224 - Accuracy: 0.4143 - F1: 0.3689
sub_4:Test (Best Model) - Loss: 1.4527 - Accuracy: 0.4429 - F1: 0.3629
sub_1:Test (Best Model) - Loss: 2.1317 - Accuracy: 0.3238 - F1: 0.2510
sub_13:Test (Best Model) - Loss: 1.3818 - Accuracy: 0.3905 - F1: 0.3428
sub_11:Test (Best Model) - Loss: 1.4944 - Accuracy: 0.3333 - F1: 0.3217
sub_14:Test (Best Model) - Loss: 1.4080 - Accuracy: 0.3381 - F1: 0.3263
sub_7:Test (Best Model) - Loss: 1.5113 - Accuracy: 0.2905 - F1: 0.2374
sub_9:Test (Best Model) - Loss: 1.2834 - Accuracy: 0.3905 - F1: 0.3014
sub_4:Test (Best Model) - Loss: 1.5267 - Accuracy: 0.3238 - F1: 0.3096
sub_6:Test (Best Model) - Loss: 1.4036 - Accuracy: 0.3238 - F1: 0.3178
sub_10:Test (Best Model) - Loss: 1.4359 - Accuracy: 0.3571 - F1: 0.2879
sub_8:Test (Best Model) - Loss: 1.2781 - Accuracy: 0.4476 - F1: 0.4166
sub_2:Test (Best Model) - Loss: 1.5758 - Accuracy: 0.3952 - F1: 0.2958
sub_11:Test (Best Model) - Loss: 1.4237 - Accuracy: 0.3952 - F1: 0.3450
sub_10:Test (Best Model) - Loss: 1.4906 - Accuracy: 0.4048 - F1: 0.3511
sub_12:Test (Best Model) - Loss: 1.3039 - Accuracy: 0.3619 - F1: 0.3372
sub_5:Test (Best Model) - Loss: 1.6829 - Accuracy: 0.3619 - F1: 0.3154
sub_7:Test (Best Model) - Loss: 1.5625 - Accuracy: 0.2762 - F1: 0.1858
sub_1:Test (Best Model) - Loss: 1.4295 - Accuracy: 0.3381 - F1: 0.2823
sub_4:Test (Best Model) - Loss: 1.5137 - Accuracy: 0.3190 - F1: 0.2387
sub_6:Test (Best Model) - Loss: 1.5518 - Accuracy: 0.2905 - F1: 0.2038
sub_14:Test (Best Model) - Loss: 1.5332 - Accuracy: 0.4095 - F1: 0.4007
sub_3:Test (Best Model) - Loss: 1.2895 - Accuracy: 0.3952 - F1: 0.3649
sub_13:Test (Best Model) - Loss: 1.3813 - Accuracy: 0.3429 - F1: 0.2880
sub_5:Test (Best Model) - Loss: 1.5817 - Accuracy: 0.2952 - F1: 0.2745
sub_2:Test (Best Model) - Loss: 1.6957 - Accuracy: 0.2571 - F1: 0.1549
sub_8:Test (Best Model) - Loss: 1.4182 - Accuracy: 0.4238 - F1: 0.3503
sub_10:Test (Best Model) - Loss: 1.5226 - Accuracy: 0.3381 - F1: 0.2867
sub_13:Test (Best Model) - Loss: 1.6615 - Accuracy: 0.2143 - F1: 0.1726
sub_12:Test (Best Model) - Loss: 1.4759 - Accuracy: 0.3381 - F1: 0.2942
sub_11:Test (Best Model) - Loss: 1.4829 - Accuracy: 0.4000 - F1: 0.3528
sub_7:Test (Best Model) - Loss: 1.5426 - Accuracy: 0.2810 - F1: 0.2628
sub_9:Test (Best Model) - Loss: 1.2691 - Accuracy: 0.4095 - F1: 0.3199
sub_14:Test (Best Model) - Loss: 1.5294 - Accuracy: 0.3571 - F1: 0.2996
sub_6:Test (Best Model) - Loss: 1.4597 - Accuracy: 0.3333 - F1: 0.2816
sub_8:Test (Best Model) - Loss: 1.1801 - Accuracy: 0.4286 - F1: 0.4033
sub_1:Test (Best Model) - Loss: 1.5024 - Accuracy: 0.3619 - F1: 0.2741
sub_2:Test (Best Model) - Loss: 1.4811 - Accuracy: 0.3619 - F1: 0.2911
sub_3:Test (Best Model) - Loss: 1.4187 - Accuracy: 0.3571 - F1: 0.2973
sub_10:Test (Best Model) - Loss: 1.3686 - Accuracy: 0.3619 - F1: 0.2724
sub_9:Test (Best Model) - Loss: 1.2669 - Accuracy: 0.3762 - F1: 0.3091
sub_7:Test (Best Model) - Loss: 1.5176 - Accuracy: 0.3952 - F1: 0.3554
sub_8:Test (Best Model) - Loss: 1.3408 - Accuracy: 0.4286 - F1: 0.3726
sub_12:Test (Best Model) - Loss: 1.4054 - Accuracy: 0.3524 - F1: 0.3184
sub_5:Test (Best Model) - Loss: 1.8060 - Accuracy: 0.3000 - F1: 0.2423
sub_4:Test (Best Model) - Loss: 1.2274 - Accuracy: 0.4429 - F1: 0.3912
sub_13:Test (Best Model) - Loss: 1.2969 - Accuracy: 0.4286 - F1: 0.3496
sub_11:Test (Best Model) - Loss: 1.4799 - Accuracy: 0.3667 - F1: 0.2568
sub_2:Test (Best Model) - Loss: 1.4903 - Accuracy: 0.2905 - F1: 0.2138
sub_14:Test (Best Model) - Loss: 1.4273 - Accuracy: 0.3571 - F1: 0.3332
sub_3:Test (Best Model) - Loss: 1.4156 - Accuracy: 0.4000 - F1: 0.2996
sub_7:Test (Best Model) - Loss: 1.4829 - Accuracy: 0.3905 - F1: 0.3496
sub_12:Test (Best Model) - Loss: 1.4354 - Accuracy: 0.4286 - F1: 0.3616
sub_1:Test (Best Model) - Loss: 1.3934 - Accuracy: 0.3905 - F1: 0.3237
sub_6:Test (Best Model) - Loss: 1.4678 - Accuracy: 0.3952 - F1: 0.3058
sub_11:Test (Best Model) - Loss: 1.4255 - Accuracy: 0.3762 - F1: 0.2667
sub_4:Test (Best Model) - Loss: 1.4254 - Accuracy: 0.4238 - F1: 0.3507
sub_8:Test (Best Model) - Loss: 1.2472 - Accuracy: 0.4238 - F1: 0.3761
sub_10:Test (Best Model) - Loss: 1.3677 - Accuracy: 0.3905 - F1: 0.3368
sub_9:Test (Best Model) - Loss: 1.2450 - Accuracy: 0.4429 - F1: 0.3805
sub_12:Test (Best Model) - Loss: 1.5904 - Accuracy: 0.3048 - F1: 0.2108
sub_13:Test (Best Model) - Loss: 1.6046 - Accuracy: 0.3095 - F1: 0.2069
sub_14:Test (Best Model) - Loss: 1.4753 - Accuracy: 0.3381 - F1: 0.2944
sub_2:Test (Best Model) - Loss: 1.4355 - Accuracy: 0.3667 - F1: 0.2882
sub_5:Test (Best Model) - Loss: 1.5555 - Accuracy: 0.3238 - F1: 0.1902
sub_3:Test (Best Model) - Loss: 1.4773 - Accuracy: 0.3143 - F1: 0.2362
sub_11:Test (Best Model) - Loss: 1.2710 - Accuracy: 0.4381 - F1: 0.3640
sub_7:Test (Best Model) - Loss: 1.4681 - Accuracy: 0.4048 - F1: 0.3413
sub_6:Test (Best Model) - Loss: 1.4658 - Accuracy: 0.3667 - F1: 0.2871
sub_1:Test (Best Model) - Loss: 1.4846 - Accuracy: 0.3524 - F1: 0.2113
sub_8:Test (Best Model) - Loss: 1.2172 - Accuracy: 0.4333 - F1: 0.3907
sub_4:Test (Best Model) - Loss: 1.4021 - Accuracy: 0.4333 - F1: 0.4115
sub_13:Test (Best Model) - Loss: 1.5137 - Accuracy: 0.3619 - F1: 0.3765
sub_9:Test (Best Model) - Loss: 1.5259 - Accuracy: 0.3429 - F1: 0.2735
sub_12:Test (Best Model) - Loss: 1.4358 - Accuracy: 0.3810 - F1: 0.3331
sub_10:Test (Best Model) - Loss: 1.2113 - Accuracy: 0.4286 - F1: 0.3938
sub_14:Test (Best Model) - Loss: 1.3419 - Accuracy: 0.4095 - F1: 0.3651
sub_6:Test (Best Model) - Loss: 1.4215 - Accuracy: 0.3810 - F1: 0.3267
sub_11:Test (Best Model) - Loss: 1.2544 - Accuracy: 0.4429 - F1: 0.3740
sub_5:Test (Best Model) - Loss: 1.4904 - Accuracy: 0.3143 - F1: 0.2427
sub_1:Test (Best Model) - Loss: 1.4157 - Accuracy: 0.4000 - F1: 0.3017
sub_8:Test (Best Model) - Loss: 1.3042 - Accuracy: 0.4000 - F1: 0.3398
sub_14:Test (Best Model) - Loss: 1.4882 - Accuracy: 0.3762 - F1: 0.3639
sub_2:Test (Best Model) - Loss: 1.2114 - Accuracy: 0.4571 - F1: 0.4350
sub_3:Test (Best Model) - Loss: 1.2502 - Accuracy: 0.4238 - F1: 0.3861
sub_7:Test (Best Model) - Loss: 1.3906 - Accuracy: 0.4048 - F1: 0.3445
sub_8:Test (Best Model) - Loss: 1.4205 - Accuracy: 0.3429 - F1: 0.2955
sub_13:Test (Best Model) - Loss: 1.3401 - Accuracy: 0.4333 - F1: 0.3726
sub_9:Test (Best Model) - Loss: 1.5373 - Accuracy: 0.3619 - F1: 0.3075
sub_6:Test (Best Model) - Loss: 1.5719 - Accuracy: 0.3048 - F1: 0.2326
sub_4:Test (Best Model) - Loss: 1.3930 - Accuracy: 0.4048 - F1: 0.3607
sub_12:Test (Best Model) - Loss: 1.6227 - Accuracy: 0.3000 - F1: 0.2244
sub_5:Test (Best Model) - Loss: 1.4968 - Accuracy: 0.3286 - F1: 0.2789
sub_2:Test (Best Model) - Loss: 1.2557 - Accuracy: 0.4714 - F1: 0.4248
sub_11:Test (Best Model) - Loss: 1.2234 - Accuracy: 0.3905 - F1: 0.3736
sub_10:Test (Best Model) - Loss: 1.2855 - Accuracy: 0.4381 - F1: 0.4067
sub_1:Test (Best Model) - Loss: 1.2789 - Accuracy: 0.4143 - F1: 0.3611
sub_3:Test (Best Model) - Loss: 1.3226 - Accuracy: 0.3810 - F1: 0.3540
sub_7:Test (Best Model) - Loss: 1.5352 - Accuracy: 0.3714 - F1: 0.3261
sub_12:Test (Best Model) - Loss: 1.4921 - Accuracy: 0.4095 - F1: 0.3540
sub_13:Test (Best Model) - Loss: 1.3983 - Accuracy: 0.4190 - F1: 0.3445
sub_8:Test (Best Model) - Loss: 1.1670 - Accuracy: 0.5190 - F1: 0.4795
sub_6:Test (Best Model) - Loss: 1.4749 - Accuracy: 0.3095 - F1: 0.3048
sub_9:Test (Best Model) - Loss: 1.5546 - Accuracy: 0.3333 - F1: 0.2692
sub_4:Test (Best Model) - Loss: 1.4635 - Accuracy: 0.3619 - F1: 0.3105
sub_11:Test (Best Model) - Loss: 1.2980 - Accuracy: 0.4667 - F1: 0.4009
sub_7:Test (Best Model) - Loss: 1.6114 - Accuracy: 0.2667 - F1: 0.2605
sub_10:Test (Best Model) - Loss: 1.4553 - Accuracy: 0.4000 - F1: 0.3597
sub_5:Test (Best Model) - Loss: 1.3413 - Accuracy: 0.4238 - F1: 0.3698
sub_2:Test (Best Model) - Loss: 1.2480 - Accuracy: 0.4190 - F1: 0.3989
sub_12:Test (Best Model) - Loss: 1.4389 - Accuracy: 0.3952 - F1: 0.3466
sub_14:Test (Best Model) - Loss: 1.0901 - Accuracy: 0.4905 - F1: 0.4473
sub_1:Test (Best Model) - Loss: 1.2197 - Accuracy: 0.4619 - F1: 0.4434
sub_13:Test (Best Model) - Loss: 1.4745 - Accuracy: 0.3810 - F1: 0.3214
sub_8:Test (Best Model) - Loss: 1.3250 - Accuracy: 0.3857 - F1: 0.3369
sub_5:Test (Best Model) - Loss: 1.4549 - Accuracy: 0.3524 - F1: 0.3313
sub_3:Test (Best Model) - Loss: 1.2918 - Accuracy: 0.4095 - F1: 0.3730
sub_9:Test (Best Model) - Loss: 1.4703 - Accuracy: 0.4000 - F1: 0.3181
sub_4:Test (Best Model) - Loss: 1.3398 - Accuracy: 0.4333 - F1: 0.4304
sub_10:Test (Best Model) - Loss: 1.3958 - Accuracy: 0.3524 - F1: 0.2934
sub_6:Test (Best Model) - Loss: 1.3618 - Accuracy: 0.3476 - F1: 0.3246
sub_11:Test (Best Model) - Loss: 1.3031 - Accuracy: 0.4143 - F1: 0.3542
sub_7:Test (Best Model) - Loss: 1.3595 - Accuracy: 0.3952 - F1: 0.3501
sub_2:Test (Best Model) - Loss: 1.2459 - Accuracy: 0.4143 - F1: 0.3613
sub_12:Test (Best Model) - Loss: 1.4147 - Accuracy: 0.3619 - F1: 0.3347
sub_13:Test (Best Model) - Loss: 1.5088 - Accuracy: 0.3381 - F1: 0.2790
sub_1:Test (Best Model) - Loss: 1.3503 - Accuracy: 0.3952 - F1: 0.3721
sub_3:Test (Best Model) - Loss: 1.4045 - Accuracy: 0.3810 - F1: 0.3538
sub_8:Test (Best Model) - Loss: 1.2985 - Accuracy: 0.4286 - F1: 0.3880
sub_14:Test (Best Model) - Loss: 1.0867 - Accuracy: 0.5190 - F1: 0.4695
sub_5:Test (Best Model) - Loss: 1.5690 - Accuracy: 0.3143 - F1: 0.2561
sub_9:Test (Best Model) - Loss: 1.3795 - Accuracy: 0.3667 - F1: 0.2779
sub_11:Test (Best Model) - Loss: 1.4265 - Accuracy: 0.3714 - F1: 0.3176
sub_10:Test (Best Model) - Loss: 1.4741 - Accuracy: 0.3429 - F1: 0.2821
sub_7:Test (Best Model) - Loss: 1.5653 - Accuracy: 0.3286 - F1: 0.2544
sub_4:Test (Best Model) - Loss: 1.3489 - Accuracy: 0.4000 - F1: 0.3543
sub_13:Test (Best Model) - Loss: 1.3766 - Accuracy: 0.4429 - F1: 0.3527
sub_3:Test (Best Model) - Loss: 1.4109 - Accuracy: 0.3476 - F1: 0.2757
sub_2:Test (Best Model) - Loss: 1.2957 - Accuracy: 0.4571 - F1: 0.4300
sub_6:Test (Best Model) - Loss: 1.4369 - Accuracy: 0.3762 - F1: 0.2832
sub_8:Test (Best Model) - Loss: 1.2977 - Accuracy: 0.3857 - F1: 0.3797
sub_1:Test (Best Model) - Loss: 1.3937 - Accuracy: 0.4190 - F1: 0.4086
sub_9:Test (Best Model) - Loss: 1.4365 - Accuracy: 0.3381 - F1: 0.2963
sub_12:Test (Best Model) - Loss: 1.3411 - Accuracy: 0.3667 - F1: 0.3364
sub_10:Test (Best Model) - Loss: 1.5574 - Accuracy: 0.2952 - F1: 0.2658
sub_5:Test (Best Model) - Loss: 1.4998 - Accuracy: 0.3095 - F1: 0.2648
sub_11:Test (Best Model) - Loss: 1.3754 - Accuracy: 0.3905 - F1: 0.3441
sub_2:Test (Best Model) - Loss: 1.4226 - Accuracy: 0.3476 - F1: 0.2827
sub_14:Test (Best Model) - Loss: 1.2559 - Accuracy: 0.4810 - F1: 0.3862
sub_7:Test (Best Model) - Loss: 1.5150 - Accuracy: 0.3286 - F1: 0.2668
sub_4:Test (Best Model) - Loss: 1.5264 - Accuracy: 0.3286 - F1: 0.2979
sub_13:Test (Best Model) - Loss: 1.4210 - Accuracy: 0.4429 - F1: 0.3812
sub_3:Test (Best Model) - Loss: 1.5299 - Accuracy: 0.2714 - F1: 0.2485
sub_9:Test (Best Model) - Loss: 1.3676 - Accuracy: 0.3333 - F1: 0.3357
sub_8:Test (Best Model) - Loss: 1.3148 - Accuracy: 0.4714 - F1: 0.4301
sub_11:Test (Best Model) - Loss: 1.3703 - Accuracy: 0.3524 - F1: 0.3147
sub_6:Test (Best Model) - Loss: 1.4708 - Accuracy: 0.3381 - F1: 0.3203
sub_5:Test (Best Model) - Loss: 1.4941 - Accuracy: 0.3476 - F1: 0.3297
sub_12:Test (Best Model) - Loss: 1.3514 - Accuracy: 0.4048 - F1: 0.3821
sub_13:Test (Best Model) - Loss: 1.4374 - Accuracy: 0.4190 - F1: 0.3512
sub_2:Test (Best Model) - Loss: 1.3267 - Accuracy: 0.4000 - F1: 0.3898
sub_10:Test (Best Model) - Loss: 1.5572 - Accuracy: 0.3095 - F1: 0.2498
sub_1:Test (Best Model) - Loss: 1.2476 - Accuracy: 0.4667 - F1: 0.4247
sub_7:Test (Best Model) - Loss: 1.4923 - Accuracy: 0.3619 - F1: 0.3057
sub_3:Test (Best Model) - Loss: 1.4831 - Accuracy: 0.3048 - F1: 0.2710
sub_8:Test (Best Model) - Loss: 1.4597 - Accuracy: 0.3952 - F1: 0.3743
sub_4:Test (Best Model) - Loss: 1.4507 - Accuracy: 0.3714 - F1: 0.3637
sub_9:Test (Best Model) - Loss: 1.4097 - Accuracy: 0.3571 - F1: 0.3744
sub_14:Test (Best Model) - Loss: 1.7665 - Accuracy: 0.2714 - F1: 0.1853
sub_11:Test (Best Model) - Loss: 1.3139 - Accuracy: 0.4619 - F1: 0.4488
sub_12:Test (Best Model) - Loss: 1.4221 - Accuracy: 0.3381 - F1: 0.2763
sub_5:Test (Best Model) - Loss: 1.5594 - Accuracy: 0.2190 - F1: 0.2124
sub_3:Test (Best Model) - Loss: 1.5664 - Accuracy: 0.2619 - F1: 0.2584
sub_6:Test (Best Model) - Loss: 1.3976 - Accuracy: 0.3905 - F1: 0.2894
sub_13:Test (Best Model) - Loss: 1.3671 - Accuracy: 0.4048 - F1: 0.3446
sub_9:Test (Best Model) - Loss: 1.2969 - Accuracy: 0.4238 - F1: 0.4116
sub_1:Test (Best Model) - Loss: 1.2963 - Accuracy: 0.4667 - F1: 0.4466
sub_2:Test (Best Model) - Loss: 1.2573 - Accuracy: 0.4333 - F1: 0.4053
sub_4:Test (Best Model) - Loss: 1.4689 - Accuracy: 0.3905 - F1: 0.3887
sub_14:Test (Best Model) - Loss: 1.6468 - Accuracy: 0.3000 - F1: 0.2229
sub_7:Test (Best Model) - Loss: 1.4990 - Accuracy: 0.3238 - F1: 0.2970
sub_10:Test (Best Model) - Loss: 1.4442 - Accuracy: 0.3143 - F1: 0.2961
sub_6:Test (Best Model) - Loss: 1.5007 - Accuracy: 0.3048 - F1: 0.2252
sub_12:Test (Best Model) - Loss: 1.4148 - Accuracy: 0.3667 - F1: 0.3020
sub_3:Test (Best Model) - Loss: 1.5188 - Accuracy: 0.3238 - F1: 0.3036
sub_9:Test (Best Model) - Loss: 1.2948 - Accuracy: 0.4524 - F1: 0.4113
sub_13:Test (Best Model) - Loss: 1.3295 - Accuracy: 0.4238 - F1: 0.3438
sub_14:Test (Best Model) - Loss: 1.6536 - Accuracy: 0.2714 - F1: 0.1966
sub_4:Test (Best Model) - Loss: 1.5057 - Accuracy: 0.3286 - F1: 0.3273
sub_3:Test (Best Model) - Loss: 1.4525 - Accuracy: 0.3857 - F1: 0.3795
sub_1:Test (Best Model) - Loss: 1.3490 - Accuracy: 0.4238 - F1: 0.3917
sub_5:Test (Best Model) - Loss: 1.2856 - Accuracy: 0.4810 - F1: 0.4725
sub_10:Test (Best Model) - Loss: 1.5449 - Accuracy: 0.3000 - F1: 0.2524
sub_2:Test (Best Model) - Loss: 1.3645 - Accuracy: 0.4667 - F1: 0.4622
sub_6:Test (Best Model) - Loss: 1.3674 - Accuracy: 0.4286 - F1: 0.4139
sub_5:Test (Best Model) - Loss: 1.4777 - Accuracy: 0.3571 - F1: 0.3371
sub_4:Test (Best Model) - Loss: 1.4826 - Accuracy: 0.3571 - F1: 0.3385
sub_14:Test (Best Model) - Loss: 1.6731 - Accuracy: 0.3000 - F1: 0.2312
sub_1:Test (Best Model) - Loss: 1.2656 - Accuracy: 0.4810 - F1: 0.4629
sub_14:Test (Best Model) - Loss: 1.5838 - Accuracy: 0.3333 - F1: 0.2677
sub_1:Test (Best Model) - Loss: 1.3221 - Accuracy: 0.4524 - F1: 0.4478

=== Summary Results ===

acc: 37.46 ± 2.56
F1: 32.48 ± 2.62
acc-in: 44.27 ± 3.17
F1-in: 40.43 ± 3.19
