lr: 0.0001
sub_9:Test (Best Model) - Loss: 1.4783 - Accuracy: 0.4048 - F1: 0.3730
sub_2:Test (Best Model) - Loss: 1.3763 - Accuracy: 0.4905 - F1: 0.4378
sub_12:Test (Best Model) - Loss: 1.5304 - Accuracy: 0.3095 - F1: 0.2578
sub_7:Test (Best Model) - Loss: 1.5482 - Accuracy: 0.3095 - F1: 0.2737
sub_6:Test (Best Model) - Loss: 1.5249 - Accuracy: 0.3667 - F1: 0.3377
sub_4:Test (Best Model) - Loss: 1.4642 - Accuracy: 0.4000 - F1: 0.3855
sub_14:Test (Best Model) - Loss: 1.4263 - Accuracy: 0.4810 - F1: 0.4516
sub_8:Test (Best Model) - Loss: 1.4587 - Accuracy: 0.4190 - F1: 0.3937
sub_11:Test (Best Model) - Loss: 1.5169 - Accuracy: 0.3667 - F1: 0.3206
sub_10:Test (Best Model) - Loss: 1.4747 - Accuracy: 0.3905 - F1: 0.3500
sub_1:Test (Best Model) - Loss: 1.4427 - Accuracy: 0.3905 - F1: 0.3419
sub_5:Test (Best Model) - Loss: 1.4791 - Accuracy: 0.3286 - F1: 0.2726
sub_6:Test (Best Model) - Loss: 1.5395 - Accuracy: 0.3095 - F1: 0.2653
sub_3:Test (Best Model) - Loss: 1.5745 - Accuracy: 0.3190 - F1: 0.2719
sub_12:Test (Best Model) - Loss: 1.5034 - Accuracy: 0.4000 - F1: 0.3793
sub_4:Test (Best Model) - Loss: 1.5091 - Accuracy: 0.3762 - F1: 0.3448
sub_2:Test (Best Model) - Loss: 1.3562 - Accuracy: 0.4714 - F1: 0.4400
sub_9:Test (Best Model) - Loss: 1.4750 - Accuracy: 0.3952 - F1: 0.3509
sub_8:Test (Best Model) - Loss: 1.4646 - Accuracy: 0.3905 - F1: 0.3463
sub_13:Test (Best Model) - Loss: 1.4780 - Accuracy: 0.4048 - F1: 0.3552
sub_7:Test (Best Model) - Loss: 1.5383 - Accuracy: 0.3381 - F1: 0.3236
sub_6:Test (Best Model) - Loss: 1.5415 - Accuracy: 0.3048 - F1: 0.2655
sub_10:Test (Best Model) - Loss: 1.4502 - Accuracy: 0.3810 - F1: 0.3513
sub_14:Test (Best Model) - Loss: 1.3957 - Accuracy: 0.4238 - F1: 0.4133
sub_4:Test (Best Model) - Loss: 1.5019 - Accuracy: 0.3952 - F1: 0.3689
sub_2:Test (Best Model) - Loss: 1.4093 - Accuracy: 0.5048 - F1: 0.4631
sub_12:Test (Best Model) - Loss: 1.5023 - Accuracy: 0.3476 - F1: 0.3146
sub_8:Test (Best Model) - Loss: 1.4316 - Accuracy: 0.4810 - F1: 0.4445
sub_7:Test (Best Model) - Loss: 1.5660 - Accuracy: 0.3190 - F1: 0.2697
sub_5:Test (Best Model) - Loss: 1.4566 - Accuracy: 0.4190 - F1: 0.3753
sub_1:Test (Best Model) - Loss: 1.4607 - Accuracy: 0.4000 - F1: 0.3594
sub_13:Test (Best Model) - Loss: 1.5198 - Accuracy: 0.3143 - F1: 0.2922
sub_14:Test (Best Model) - Loss: 1.4524 - Accuracy: 0.4095 - F1: 0.3748
sub_3:Test (Best Model) - Loss: 1.5338 - Accuracy: 0.3286 - F1: 0.2749
sub_12:Test (Best Model) - Loss: 1.5000 - Accuracy: 0.3667 - F1: 0.3259
sub_10:Test (Best Model) - Loss: 1.4829 - Accuracy: 0.3810 - F1: 0.3516
sub_8:Test (Best Model) - Loss: 1.4528 - Accuracy: 0.4429 - F1: 0.4176
sub_2:Test (Best Model) - Loss: 1.3667 - Accuracy: 0.4571 - F1: 0.4136
sub_11:Test (Best Model) - Loss: 1.4678 - Accuracy: 0.4333 - F1: 0.4081
sub_6:Test (Best Model) - Loss: 1.5129 - Accuracy: 0.3619 - F1: 0.3463
sub_9:Test (Best Model) - Loss: 1.4349 - Accuracy: 0.3857 - F1: 0.3498
sub_4:Test (Best Model) - Loss: 1.4418 - Accuracy: 0.3952 - F1: 0.3903
sub_12:Test (Best Model) - Loss: 1.5255 - Accuracy: 0.3667 - F1: 0.3258
sub_8:Test (Best Model) - Loss: 1.4081 - Accuracy: 0.4571 - F1: 0.4229
sub_10:Test (Best Model) - Loss: 1.5227 - Accuracy: 0.3238 - F1: 0.2834
sub_14:Test (Best Model) - Loss: 1.4499 - Accuracy: 0.4429 - F1: 0.4296
sub_2:Test (Best Model) - Loss: 1.3218 - Accuracy: 0.5048 - F1: 0.4603
sub_1:Test (Best Model) - Loss: 1.4860 - Accuracy: 0.4095 - F1: 0.3553
sub_7:Test (Best Model) - Loss: 1.5437 - Accuracy: 0.2667 - F1: 0.2669
sub_4:Test (Best Model) - Loss: 1.4762 - Accuracy: 0.3810 - F1: 0.3397
sub_5:Test (Best Model) - Loss: 1.4966 - Accuracy: 0.3476 - F1: 0.2971
sub_13:Test (Best Model) - Loss: 1.5153 - Accuracy: 0.3524 - F1: 0.3155
sub_10:Test (Best Model) - Loss: 1.5022 - Accuracy: 0.3905 - F1: 0.3503
sub_12:Test (Best Model) - Loss: 1.4767 - Accuracy: 0.3429 - F1: 0.3473
sub_6:Test (Best Model) - Loss: 1.4930 - Accuracy: 0.3619 - F1: 0.3240
sub_3:Test (Best Model) - Loss: 1.5649 - Accuracy: 0.2857 - F1: 0.2389
sub_9:Test (Best Model) - Loss: 1.4320 - Accuracy: 0.3905 - F1: 0.3442
sub_8:Test (Best Model) - Loss: 1.4172 - Accuracy: 0.4619 - F1: 0.4662
sub_14:Test (Best Model) - Loss: 1.4662 - Accuracy: 0.3619 - F1: 0.3434
sub_2:Test (Best Model) - Loss: 1.3502 - Accuracy: 0.4667 - F1: 0.4537
sub_11:Test (Best Model) - Loss: 1.4924 - Accuracy: 0.3810 - F1: 0.3469
sub_10:Test (Best Model) - Loss: 1.5126 - Accuracy: 0.3667 - F1: 0.3444
sub_4:Test (Best Model) - Loss: 1.5006 - Accuracy: 0.3524 - F1: 0.3337
sub_12:Test (Best Model) - Loss: 1.5022 - Accuracy: 0.3429 - F1: 0.3167
sub_6:Test (Best Model) - Loss: 1.5303 - Accuracy: 0.3000 - F1: 0.2513
sub_7:Test (Best Model) - Loss: 1.5345 - Accuracy: 0.2810 - F1: 0.2471
sub_13:Test (Best Model) - Loss: 1.5017 - Accuracy: 0.3381 - F1: 0.3030
sub_1:Test (Best Model) - Loss: 1.4474 - Accuracy: 0.3810 - F1: 0.3419
sub_5:Test (Best Model) - Loss: 1.5114 - Accuracy: 0.4095 - F1: 0.3706
sub_8:Test (Best Model) - Loss: 1.4161 - Accuracy: 0.4000 - F1: 0.4077
sub_3:Test (Best Model) - Loss: 1.5392 - Accuracy: 0.3381 - F1: 0.2830
sub_9:Test (Best Model) - Loss: 1.4125 - Accuracy: 0.4190 - F1: 0.3725
sub_10:Test (Best Model) - Loss: 1.5411 - Accuracy: 0.3429 - F1: 0.3092
sub_14:Test (Best Model) - Loss: 1.2977 - Accuracy: 0.5286 - F1: 0.5086
sub_2:Test (Best Model) - Loss: 1.3219 - Accuracy: 0.4381 - F1: 0.4460
sub_6:Test (Best Model) - Loss: 1.5543 - Accuracy: 0.3143 - F1: 0.2683
sub_12:Test (Best Model) - Loss: 1.5046 - Accuracy: 0.3476 - F1: 0.3455
sub_4:Test (Best Model) - Loss: 1.4855 - Accuracy: 0.3143 - F1: 0.2881
sub_13:Test (Best Model) - Loss: 1.5156 - Accuracy: 0.3667 - F1: 0.3264
sub_5:Test (Best Model) - Loss: 1.4383 - Accuracy: 0.4095 - F1: 0.3562
sub_14:Test (Best Model) - Loss: 1.3770 - Accuracy: 0.5048 - F1: 0.4600
sub_11:Test (Best Model) - Loss: 1.4402 - Accuracy: 0.4000 - F1: 0.3712
sub_9:Test (Best Model) - Loss: 1.4695 - Accuracy: 0.4000 - F1: 0.3608
sub_7:Test (Best Model) - Loss: 1.5032 - Accuracy: 0.3714 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 1.3743 - Accuracy: 0.4524 - F1: 0.4589
sub_8:Test (Best Model) - Loss: 1.3779 - Accuracy: 0.4524 - F1: 0.4415
sub_10:Test (Best Model) - Loss: 1.5002 - Accuracy: 0.3857 - F1: 0.3611
sub_1:Test (Best Model) - Loss: 1.3714 - Accuracy: 0.4143 - F1: 0.3744
sub_3:Test (Best Model) - Loss: 1.5690 - Accuracy: 0.2857 - F1: 0.2080
sub_6:Test (Best Model) - Loss: 1.5183 - Accuracy: 0.3095 - F1: 0.2591
sub_4:Test (Best Model) - Loss: 1.5095 - Accuracy: 0.3381 - F1: 0.3366
sub_12:Test (Best Model) - Loss: 1.4827 - Accuracy: 0.3762 - F1: 0.3538
sub_11:Test (Best Model) - Loss: 1.4922 - Accuracy: 0.3810 - F1: 0.3380
sub_9:Test (Best Model) - Loss: 1.4422 - Accuracy: 0.4286 - F1: 0.3950
sub_5:Test (Best Model) - Loss: 1.4460 - Accuracy: 0.4048 - F1: 0.4061
sub_13:Test (Best Model) - Loss: 1.5315 - Accuracy: 0.3714 - F1: 0.3392
sub_7:Test (Best Model) - Loss: 1.4841 - Accuracy: 0.3476 - F1: 0.3349
sub_8:Test (Best Model) - Loss: 1.4122 - Accuracy: 0.4143 - F1: 0.4179
sub_3:Test (Best Model) - Loss: 1.5360 - Accuracy: 0.3714 - F1: 0.3436
sub_14:Test (Best Model) - Loss: 1.3579 - Accuracy: 0.5143 - F1: 0.4812
sub_1:Test (Best Model) - Loss: 1.4160 - Accuracy: 0.4286 - F1: 0.4280
sub_10:Test (Best Model) - Loss: 1.4846 - Accuracy: 0.3810 - F1: 0.3343
sub_2:Test (Best Model) - Loss: 1.3079 - Accuracy: 0.4286 - F1: 0.4146
sub_12:Test (Best Model) - Loss: 1.4943 - Accuracy: 0.3476 - F1: 0.3231
sub_6:Test (Best Model) - Loss: 1.5469 - Accuracy: 0.3095 - F1: 0.2739
sub_8:Test (Best Model) - Loss: 1.4459 - Accuracy: 0.4000 - F1: 0.4022
sub_4:Test (Best Model) - Loss: 1.4603 - Accuracy: 0.3714 - F1: 0.3466
sub_5:Test (Best Model) - Loss: 1.4912 - Accuracy: 0.3762 - F1: 0.3497
sub_1:Test (Best Model) - Loss: 1.4855 - Accuracy: 0.3857 - F1: 0.3867
sub_9:Test (Best Model) - Loss: 1.4001 - Accuracy: 0.4286 - F1: 0.4023
sub_13:Test (Best Model) - Loss: 1.5631 - Accuracy: 0.3286 - F1: 0.2857
sub_11:Test (Best Model) - Loss: 1.4891 - Accuracy: 0.3905 - F1: 0.3767
sub_14:Test (Best Model) - Loss: 1.3570 - Accuracy: 0.4810 - F1: 0.4605
sub_2:Test (Best Model) - Loss: 1.4204 - Accuracy: 0.4524 - F1: 0.4361
sub_7:Test (Best Model) - Loss: 1.5220 - Accuracy: 0.3619 - F1: 0.3348
sub_12:Test (Best Model) - Loss: 1.5469 - Accuracy: 0.2429 - F1: 0.2473
sub_10:Test (Best Model) - Loss: 1.4754 - Accuracy: 0.3857 - F1: 0.3625
sub_4:Test (Best Model) - Loss: 1.4759 - Accuracy: 0.3476 - F1: 0.3224
sub_3:Test (Best Model) - Loss: 1.5160 - Accuracy: 0.3429 - F1: 0.3386
sub_8:Test (Best Model) - Loss: 1.4896 - Accuracy: 0.4048 - F1: 0.3590
sub_6:Test (Best Model) - Loss: 1.5043 - Accuracy: 0.3286 - F1: 0.2802
sub_14:Test (Best Model) - Loss: 1.4274 - Accuracy: 0.5190 - F1: 0.4814
sub_1:Test (Best Model) - Loss: 1.4900 - Accuracy: 0.3905 - F1: 0.3861
sub_12:Test (Best Model) - Loss: 1.5340 - Accuracy: 0.3667 - F1: 0.3585
sub_9:Test (Best Model) - Loss: 1.4515 - Accuracy: 0.4619 - F1: 0.4137
sub_2:Test (Best Model) - Loss: 1.4345 - Accuracy: 0.4238 - F1: 0.3831
sub_13:Test (Best Model) - Loss: 1.5067 - Accuracy: 0.3524 - F1: 0.2918
sub_5:Test (Best Model) - Loss: 1.4159 - Accuracy: 0.4524 - F1: 0.4265
sub_4:Test (Best Model) - Loss: 1.5389 - Accuracy: 0.3333 - F1: 0.3367
sub_10:Test (Best Model) - Loss: 1.5720 - Accuracy: 0.2905 - F1: 0.2262
sub_6:Test (Best Model) - Loss: 1.5209 - Accuracy: 0.3524 - F1: 0.3288
sub_11:Test (Best Model) - Loss: 1.4996 - Accuracy: 0.3857 - F1: 0.3791
sub_7:Test (Best Model) - Loss: 1.4905 - Accuracy: 0.3810 - F1: 0.3588
sub_9:Test (Best Model) - Loss: 1.4496 - Accuracy: 0.3857 - F1: 0.3404
sub_8:Test (Best Model) - Loss: 1.5087 - Accuracy: 0.3762 - F1: 0.3209
sub_12:Test (Best Model) - Loss: 1.5362 - Accuracy: 0.2952 - F1: 0.2847
sub_13:Test (Best Model) - Loss: 1.5127 - Accuracy: 0.3524 - F1: 0.3047
sub_11:Test (Best Model) - Loss: 1.5304 - Accuracy: 0.3857 - F1: 0.3787
sub_1:Test (Best Model) - Loss: 1.3967 - Accuracy: 0.4095 - F1: 0.4001
sub_3:Test (Best Model) - Loss: 1.4874 - Accuracy: 0.3810 - F1: 0.3762
sub_5:Test (Best Model) - Loss: 1.4448 - Accuracy: 0.4333 - F1: 0.3884
sub_2:Test (Best Model) - Loss: 1.3705 - Accuracy: 0.4667 - F1: 0.4447
sub_14:Test (Best Model) - Loss: 1.4809 - Accuracy: 0.4048 - F1: 0.3610
sub_4:Test (Best Model) - Loss: 1.4607 - Accuracy: 0.4095 - F1: 0.4111
sub_10:Test (Best Model) - Loss: 1.5448 - Accuracy: 0.3238 - F1: 0.3021
sub_6:Test (Best Model) - Loss: 1.4763 - Accuracy: 0.2857 - F1: 0.2985
sub_9:Test (Best Model) - Loss: 1.5078 - Accuracy: 0.3619 - F1: 0.3552
sub_14:Test (Best Model) - Loss: 1.5292 - Accuracy: 0.4095 - F1: 0.3456
sub_5:Test (Best Model) - Loss: 1.4467 - Accuracy: 0.4619 - F1: 0.4404
sub_11:Test (Best Model) - Loss: 1.4624 - Accuracy: 0.3952 - F1: 0.3623
sub_1:Test (Best Model) - Loss: 1.4087 - Accuracy: 0.4095 - F1: 0.4087
sub_12:Test (Best Model) - Loss: 1.5134 - Accuracy: 0.3286 - F1: 0.3158
sub_13:Test (Best Model) - Loss: 1.5310 - Accuracy: 0.3381 - F1: 0.3004
sub_7:Test (Best Model) - Loss: 1.4468 - Accuracy: 0.3524 - F1: 0.3121
sub_6:Test (Best Model) - Loss: 1.4940 - Accuracy: 0.3524 - F1: 0.3187
sub_10:Test (Best Model) - Loss: 1.5487 - Accuracy: 0.2429 - F1: 0.2110
sub_8:Test (Best Model) - Loss: 1.4424 - Accuracy: 0.4048 - F1: 0.3641
sub_3:Test (Best Model) - Loss: 1.4976 - Accuracy: 0.3429 - F1: 0.3278
sub_9:Test (Best Model) - Loss: 1.5058 - Accuracy: 0.3810 - F1: 0.3545
sub_4:Test (Best Model) - Loss: 1.4891 - Accuracy: 0.3952 - F1: 0.3863
sub_2:Test (Best Model) - Loss: 1.3875 - Accuracy: 0.4286 - F1: 0.3925
sub_14:Test (Best Model) - Loss: 1.4940 - Accuracy: 0.4095 - F1: 0.3696
sub_7:Test (Best Model) - Loss: 1.5582 - Accuracy: 0.3238 - F1: 0.2847
sub_6:Test (Best Model) - Loss: 1.5308 - Accuracy: 0.3190 - F1: 0.3142
sub_12:Test (Best Model) - Loss: 1.5177 - Accuracy: 0.3143 - F1: 0.2887
sub_13:Test (Best Model) - Loss: 1.5367 - Accuracy: 0.3905 - F1: 0.3404
sub_11:Test (Best Model) - Loss: 1.4761 - Accuracy: 0.3810 - F1: 0.3609
sub_9:Test (Best Model) - Loss: 1.5142 - Accuracy: 0.3286 - F1: 0.3153
sub_10:Test (Best Model) - Loss: 1.5074 - Accuracy: 0.3143 - F1: 0.2875
sub_4:Test (Best Model) - Loss: 1.5238 - Accuracy: 0.3190 - F1: 0.3037
sub_1:Test (Best Model) - Loss: 1.4758 - Accuracy: 0.3810 - F1: 0.3790
sub_2:Test (Best Model) - Loss: 1.3722 - Accuracy: 0.4333 - F1: 0.3816
sub_3:Test (Best Model) - Loss: 1.5409 - Accuracy: 0.3095 - F1: 0.2752
sub_6:Test (Best Model) - Loss: 1.5159 - Accuracy: 0.3286 - F1: 0.3216
sub_5:Test (Best Model) - Loss: 1.4456 - Accuracy: 0.4048 - F1: 0.3676
sub_14:Test (Best Model) - Loss: 1.3751 - Accuracy: 0.5000 - F1: 0.4545
sub_8:Test (Best Model) - Loss: 1.3991 - Accuracy: 0.4333 - F1: 0.3987
sub_7:Test (Best Model) - Loss: 1.5181 - Accuracy: 0.3381 - F1: 0.2967
sub_13:Test (Best Model) - Loss: 1.5400 - Accuracy: 0.3952 - F1: 0.3733
sub_1:Test (Best Model) - Loss: 1.5219 - Accuracy: 0.3524 - F1: 0.3478
sub_10:Test (Best Model) - Loss: 1.5550 - Accuracy: 0.2714 - F1: 0.2408
sub_9:Test (Best Model) - Loss: 1.4570 - Accuracy: 0.3810 - F1: 0.3692
sub_11:Test (Best Model) - Loss: 1.4343 - Accuracy: 0.4000 - F1: 0.3896
sub_14:Test (Best Model) - Loss: 1.4868 - Accuracy: 0.4429 - F1: 0.4039
sub_2:Test (Best Model) - Loss: 1.4147 - Accuracy: 0.4476 - F1: 0.4144
sub_4:Test (Best Model) - Loss: 1.5035 - Accuracy: 0.3810 - F1: 0.3670
sub_8:Test (Best Model) - Loss: 1.4632 - Accuracy: 0.3952 - F1: 0.3447
sub_3:Test (Best Model) - Loss: 1.5603 - Accuracy: 0.2905 - F1: 0.2735
sub_9:Test (Best Model) - Loss: 1.5320 - Accuracy: 0.4238 - F1: 0.3608
sub_7:Test (Best Model) - Loss: 1.5006 - Accuracy: 0.3286 - F1: 0.2787
sub_5:Test (Best Model) - Loss: 1.4689 - Accuracy: 0.3905 - F1: 0.3647
sub_13:Test (Best Model) - Loss: 1.4874 - Accuracy: 0.4048 - F1: 0.3722
sub_11:Test (Best Model) - Loss: 1.4370 - Accuracy: 0.4476 - F1: 0.4320
sub_7:Test (Best Model) - Loss: 1.5084 - Accuracy: 0.3381 - F1: 0.2945
sub_1:Test (Best Model) - Loss: 1.4372 - Accuracy: 0.3952 - F1: 0.4044
sub_3:Test (Best Model) - Loss: 1.4952 - Accuracy: 0.3667 - F1: 0.3475
sub_5:Test (Best Model) - Loss: 1.4783 - Accuracy: 0.3714 - F1: 0.3377
sub_13:Test (Best Model) - Loss: 1.5158 - Accuracy: 0.3810 - F1: 0.3467
sub_11:Test (Best Model) - Loss: 1.4654 - Accuracy: 0.4095 - F1: 0.3953
sub_7:Test (Best Model) - Loss: 1.5414 - Accuracy: 0.3238 - F1: 0.2880
sub_1:Test (Best Model) - Loss: 1.5037 - Accuracy: 0.3905 - F1: 0.3856
sub_5:Test (Best Model) - Loss: 1.4784 - Accuracy: 0.3857 - F1: 0.3274
sub_3:Test (Best Model) - Loss: 1.5516 - Accuracy: 0.2905 - F1: 0.2647
sub_13:Test (Best Model) - Loss: 1.4731 - Accuracy: 0.4095 - F1: 0.3930
sub_11:Test (Best Model) - Loss: 1.4119 - Accuracy: 0.4286 - F1: 0.4082
sub_1:Test (Best Model) - Loss: 1.5201 - Accuracy: 0.3429 - F1: 0.3244
sub_3:Test (Best Model) - Loss: 1.5512 - Accuracy: 0.3143 - F1: 0.3011
sub_5:Test (Best Model) - Loss: 1.5074 - Accuracy: 0.3762 - F1: 0.3411
sub_11:Test (Best Model) - Loss: 1.4564 - Accuracy: 0.4381 - F1: 0.4080
sub_3:Test (Best Model) - Loss: 1.5226 - Accuracy: 0.3190 - F1: 0.3094

=== Summary Results ===

acc: 38.06 ± 4.32
F1: 35.21 ± 4.36
acc-in: 44.00 ± 2.94
F1-in: 41.71 ± 3.04
