lr: 0.001
sub_1:Test (Best Model) - Loss: 10.3418 - Accuracy: 0.4412 - F1: 0.4382
sub_1:Test (Best Model) - Loss: 11.5011 - Accuracy: 0.3824 - F1: 0.3876
sub_1:Test (Best Model) - Loss: 9.7813 - Accuracy: 0.4265 - F1: 0.4410
sub_1:Test (Best Model) - Loss: 4.8505 - Accuracy: 0.6176 - F1: 0.6226
sub_1:Test (Best Model) - Loss: 8.0675 - Accuracy: 0.5147 - F1: 0.5195
sub_1:Test (Best Model) - Loss: 11.5335 - Accuracy: 0.3333 - F1: 0.3001
sub_1:Test (Best Model) - Loss: 12.1034 - Accuracy: 0.3043 - F1: 0.2905
sub_1:Test (Best Model) - Loss: 10.0348 - Accuracy: 0.4058 - F1: 0.3915
sub_1:Test (Best Model) - Loss: 12.9183 - Accuracy: 0.4203 - F1: 0.3583
sub_1:Test (Best Model) - Loss: 9.0733 - Accuracy: 0.4638 - F1: 0.4244
sub_1:Test (Best Model) - Loss: 13.3657 - Accuracy: 0.4559 - F1: 0.4390
sub_1:Test (Best Model) - Loss: 10.3407 - Accuracy: 0.4559 - F1: 0.4495
sub_1:Test (Best Model) - Loss: 7.9253 - Accuracy: 0.4853 - F1: 0.4722
sub_1:Test (Best Model) - Loss: 7.5292 - Accuracy: 0.4412 - F1: 0.4558
sub_1:Test (Best Model) - Loss: 10.6625 - Accuracy: 0.5147 - F1: 0.4683
sub_2:Test (Best Model) - Loss: 21.8146 - Accuracy: 0.2609 - F1: 0.2488
sub_2:Test (Best Model) - Loss: 22.8489 - Accuracy: 0.3333 - F1: 0.3308
sub_2:Test (Best Model) - Loss: 11.1217 - Accuracy: 0.3333 - F1: 0.3608
sub_2:Test (Best Model) - Loss: 18.8014 - Accuracy: 0.2464 - F1: 0.2748
sub_2:Test (Best Model) - Loss: 19.1261 - Accuracy: 0.2029 - F1: 0.2411
sub_2:Test (Best Model) - Loss: 13.5219 - Accuracy: 0.2647 - F1: 0.2420
sub_2:Test (Best Model) - Loss: 10.7342 - Accuracy: 0.2059 - F1: 0.2049
sub_2:Test (Best Model) - Loss: 9.6963 - Accuracy: 0.2500 - F1: 0.2773
sub_2:Test (Best Model) - Loss: 9.4664 - Accuracy: 0.3382 - F1: 0.3375
sub_2:Test (Best Model) - Loss: 10.9525 - Accuracy: 0.3235 - F1: 0.3077
sub_2:Test (Best Model) - Loss: 13.3472 - Accuracy: 0.3623 - F1: 0.3067
sub_2:Test (Best Model) - Loss: 9.9263 - Accuracy: 0.2754 - F1: 0.2675
sub_2:Test (Best Model) - Loss: 8.7093 - Accuracy: 0.5362 - F1: 0.4678
sub_2:Test (Best Model) - Loss: 7.5970 - Accuracy: 0.4348 - F1: 0.4394
sub_2:Test (Best Model) - Loss: 7.3528 - Accuracy: 0.4638 - F1: 0.4741
sub_3:Test (Best Model) - Loss: 12.9330 - Accuracy: 0.3676 - F1: 0.3645
sub_3:Test (Best Model) - Loss: 13.3780 - Accuracy: 0.3971 - F1: 0.3929
sub_3:Test (Best Model) - Loss: 14.0900 - Accuracy: 0.2059 - F1: 0.2083
sub_3:Test (Best Model) - Loss: 13.5612 - Accuracy: 0.3235 - F1: 0.3100
sub_3:Test (Best Model) - Loss: 14.0033 - Accuracy: 0.3088 - F1: 0.3047
sub_3:Test (Best Model) - Loss: 8.6466 - Accuracy: 0.3188 - F1: 0.3083
sub_3:Test (Best Model) - Loss: 14.1097 - Accuracy: 0.2754 - F1: 0.2794
sub_3:Test (Best Model) - Loss: 12.0618 - Accuracy: 0.3333 - F1: 0.2970
sub_3:Test (Best Model) - Loss: 10.4480 - Accuracy: 0.4203 - F1: 0.3893
sub_3:Test (Best Model) - Loss: 12.2106 - Accuracy: 0.2899 - F1: 0.2829
sub_3:Test (Best Model) - Loss: 14.6641 - Accuracy: 0.3333 - F1: 0.3357
sub_3:Test (Best Model) - Loss: 12.7018 - Accuracy: 0.3623 - F1: 0.2878
sub_3:Test (Best Model) - Loss: 20.9951 - Accuracy: 0.2899 - F1: 0.2929
sub_3:Test (Best Model) - Loss: 14.3128 - Accuracy: 0.3188 - F1: 0.2933
sub_3:Test (Best Model) - Loss: 12.2685 - Accuracy: 0.3768 - F1: 0.3390
sub_4:Test (Best Model) - Loss: 10.0050 - Accuracy: 0.4493 - F1: 0.4567
sub_4:Test (Best Model) - Loss: 9.3737 - Accuracy: 0.4493 - F1: 0.4646
sub_4:Test (Best Model) - Loss: 10.0843 - Accuracy: 0.5507 - F1: 0.5116
sub_4:Test (Best Model) - Loss: 7.4435 - Accuracy: 0.5362 - F1: 0.5458
sub_4:Test (Best Model) - Loss: 12.9241 - Accuracy: 0.4928 - F1: 0.4477
sub_4:Test (Best Model) - Loss: 11.7743 - Accuracy: 0.5072 - F1: 0.4866
sub_4:Test (Best Model) - Loss: 6.7992 - Accuracy: 0.4783 - F1: 0.4744
sub_4:Test (Best Model) - Loss: 8.1924 - Accuracy: 0.5507 - F1: 0.5513
sub_4:Test (Best Model) - Loss: 9.0643 - Accuracy: 0.5797 - F1: 0.5649
sub_4:Test (Best Model) - Loss: 9.4056 - Accuracy: 0.5072 - F1: 0.5294
sub_4:Test (Best Model) - Loss: 15.7941 - Accuracy: 0.4203 - F1: 0.3773
sub_4:Test (Best Model) - Loss: 16.5274 - Accuracy: 0.3478 - F1: 0.3208
sub_4:Test (Best Model) - Loss: 10.1776 - Accuracy: 0.4638 - F1: 0.4542
sub_4:Test (Best Model) - Loss: 12.2012 - Accuracy: 0.4493 - F1: 0.4530
sub_4:Test (Best Model) - Loss: 15.2556 - Accuracy: 0.4638 - F1: 0.4186
sub_5:Test (Best Model) - Loss: 19.4504 - Accuracy: 0.2647 - F1: 0.2387
sub_5:Test (Best Model) - Loss: 39.3341 - Accuracy: 0.3676 - F1: 0.2741
sub_5:Test (Best Model) - Loss: 37.3259 - Accuracy: 0.3971 - F1: 0.3584
sub_5:Test (Best Model) - Loss: 13.6279 - Accuracy: 0.5000 - F1: 0.4926
sub_5:Test (Best Model) - Loss: 26.9771 - Accuracy: 0.4853 - F1: 0.4366
sub_5:Test (Best Model) - Loss: 10.3031 - Accuracy: 0.5441 - F1: 0.5224
sub_5:Test (Best Model) - Loss: 14.0112 - Accuracy: 0.5735 - F1: 0.5591
sub_5:Test (Best Model) - Loss: 8.0927 - Accuracy: 0.4853 - F1: 0.4610
sub_5:Test (Best Model) - Loss: 8.4732 - Accuracy: 0.5147 - F1: 0.4993
sub_5:Test (Best Model) - Loss: 7.5580 - Accuracy: 0.5735 - F1: 0.5725
sub_5:Test (Best Model) - Loss: 9.7420 - Accuracy: 0.4265 - F1: 0.4062
sub_5:Test (Best Model) - Loss: 16.1114 - Accuracy: 0.3529 - F1: 0.3277
sub_5:Test (Best Model) - Loss: 16.3120 - Accuracy: 0.3824 - F1: 0.3724
sub_5:Test (Best Model) - Loss: 11.1641 - Accuracy: 0.3971 - F1: 0.4172
sub_5:Test (Best Model) - Loss: 5.8204 - Accuracy: 0.4412 - F1: 0.4514
sub_6:Test (Best Model) - Loss: 8.2263 - Accuracy: 0.3529 - F1: 0.3618
sub_6:Test (Best Model) - Loss: 9.2994 - Accuracy: 0.3971 - F1: 0.4006
sub_6:Test (Best Model) - Loss: 10.1615 - Accuracy: 0.3824 - F1: 0.3543
sub_6:Test (Best Model) - Loss: 8.9219 - Accuracy: 0.5147 - F1: 0.4729
sub_6:Test (Best Model) - Loss: 9.5500 - Accuracy: 0.3529 - F1: 0.3210
sub_6:Test (Best Model) - Loss: 14.4420 - Accuracy: 0.3333 - F1: 0.3205
sub_6:Test (Best Model) - Loss: 11.7927 - Accuracy: 0.4058 - F1: 0.3740
sub_6:Test (Best Model) - Loss: 10.1069 - Accuracy: 0.4058 - F1: 0.3905
sub_6:Test (Best Model) - Loss: 12.5653 - Accuracy: 0.2899 - F1: 0.2369
sub_6:Test (Best Model) - Loss: 11.4127 - Accuracy: 0.3188 - F1: 0.2666
sub_6:Test (Best Model) - Loss: 10.4126 - Accuracy: 0.3768 - F1: 0.3614
sub_6:Test (Best Model) - Loss: 14.0252 - Accuracy: 0.3768 - F1: 0.3720
sub_6:Test (Best Model) - Loss: 14.4243 - Accuracy: 0.4638 - F1: 0.4481
sub_6:Test (Best Model) - Loss: 9.8487 - Accuracy: 0.4493 - F1: 0.4501
sub_6:Test (Best Model) - Loss: 6.9606 - Accuracy: 0.4928 - F1: 0.4983
sub_7:Test (Best Model) - Loss: 15.2285 - Accuracy: 0.3824 - F1: 0.3522
sub_7:Test (Best Model) - Loss: 7.3628 - Accuracy: 0.6029 - F1: 0.5709
sub_7:Test (Best Model) - Loss: 9.1135 - Accuracy: 0.5147 - F1: 0.4994
sub_7:Test (Best Model) - Loss: 10.2446 - Accuracy: 0.5000 - F1: 0.4846
sub_7:Test (Best Model) - Loss: 8.3341 - Accuracy: 0.6471 - F1: 0.6266
sub_7:Test (Best Model) - Loss: 12.9574 - Accuracy: 0.4118 - F1: 0.4091
sub_7:Test (Best Model) - Loss: 15.6281 - Accuracy: 0.4265 - F1: 0.4263
sub_7:Test (Best Model) - Loss: 9.9488 - Accuracy: 0.5441 - F1: 0.5482
sub_7:Test (Best Model) - Loss: 19.9045 - Accuracy: 0.3971 - F1: 0.3643
sub_7:Test (Best Model) - Loss: 13.1868 - Accuracy: 0.6029 - F1: 0.5572
sub_7:Test (Best Model) - Loss: 11.6960 - Accuracy: 0.4559 - F1: 0.4556
sub_7:Test (Best Model) - Loss: 7.7481 - Accuracy: 0.4706 - F1: 0.4486
sub_7:Test (Best Model) - Loss: 9.8086 - Accuracy: 0.4412 - F1: 0.4149
sub_7:Test (Best Model) - Loss: 9.2940 - Accuracy: 0.4706 - F1: 0.4469
sub_7:Test (Best Model) - Loss: 10.0743 - Accuracy: 0.5147 - F1: 0.4922
sub_8:Test (Best Model) - Loss: 13.2426 - Accuracy: 0.3824 - F1: 0.3829
sub_8:Test (Best Model) - Loss: 15.3042 - Accuracy: 0.3235 - F1: 0.3358
sub_8:Test (Best Model) - Loss: 11.1364 - Accuracy: 0.3382 - F1: 0.3482
sub_8:Test (Best Model) - Loss: 13.3429 - Accuracy: 0.2941 - F1: 0.2822
sub_8:Test (Best Model) - Loss: 14.8673 - Accuracy: 0.2647 - F1: 0.2602
sub_8:Test (Best Model) - Loss: 10.6768 - Accuracy: 0.3382 - F1: 0.3383
sub_8:Test (Best Model) - Loss: 8.4088 - Accuracy: 0.4118 - F1: 0.3859
sub_8:Test (Best Model) - Loss: 9.6310 - Accuracy: 0.3676 - F1: 0.3830
sub_8:Test (Best Model) - Loss: 10.5871 - Accuracy: 0.4265 - F1: 0.4440
sub_8:Test (Best Model) - Loss: 11.0745 - Accuracy: 0.2794 - F1: 0.2642
sub_8:Test (Best Model) - Loss: 14.8268 - Accuracy: 0.2941 - F1: 0.3056
sub_8:Test (Best Model) - Loss: 15.2039 - Accuracy: 0.3088 - F1: 0.3259
sub_8:Test (Best Model) - Loss: 21.8158 - Accuracy: 0.2941 - F1: 0.3056
sub_8:Test (Best Model) - Loss: 11.6349 - Accuracy: 0.3235 - F1: 0.3203
sub_8:Test (Best Model) - Loss: 12.7750 - Accuracy: 0.3382 - F1: 0.3536
sub_9:Test (Best Model) - Loss: 8.1836 - Accuracy: 0.4706 - F1: 0.4858
sub_9:Test (Best Model) - Loss: 10.1580 - Accuracy: 0.4412 - F1: 0.4420
sub_9:Test (Best Model) - Loss: 9.9627 - Accuracy: 0.4559 - F1: 0.4826
sub_9:Test (Best Model) - Loss: 9.9856 - Accuracy: 0.5441 - F1: 0.5588
sub_9:Test (Best Model) - Loss: 10.5787 - Accuracy: 0.4412 - F1: 0.4307
sub_9:Test (Best Model) - Loss: 18.8166 - Accuracy: 0.2941 - F1: 0.2678
sub_9:Test (Best Model) - Loss: 24.1531 - Accuracy: 0.2794 - F1: 0.2826
sub_9:Test (Best Model) - Loss: 16.2364 - Accuracy: 0.2941 - F1: 0.2868
sub_9:Test (Best Model) - Loss: 12.5435 - Accuracy: 0.4853 - F1: 0.5112
sub_9:Test (Best Model) - Loss: 16.9283 - Accuracy: 0.3382 - F1: 0.3316
sub_9:Test (Best Model) - Loss: 21.3674 - Accuracy: 0.3088 - F1: 0.3162
sub_9:Test (Best Model) - Loss: 16.3023 - Accuracy: 0.4412 - F1: 0.4390
sub_9:Test (Best Model) - Loss: 14.5279 - Accuracy: 0.3676 - F1: 0.3542
sub_9:Test (Best Model) - Loss: 12.4501 - Accuracy: 0.3676 - F1: 0.3518
sub_9:Test (Best Model) - Loss: 13.8256 - Accuracy: 0.3676 - F1: 0.3740
sub_10:Test (Best Model) - Loss: 15.3130 - Accuracy: 0.3235 - F1: 0.3034
sub_10:Test (Best Model) - Loss: 10.1545 - Accuracy: 0.3824 - F1: 0.3641
sub_10:Test (Best Model) - Loss: 11.8604 - Accuracy: 0.3529 - F1: 0.3559
sub_10:Test (Best Model) - Loss: 10.3452 - Accuracy: 0.3676 - F1: 0.3308
sub_10:Test (Best Model) - Loss: 7.6301 - Accuracy: 0.4265 - F1: 0.4378
sub_10:Test (Best Model) - Loss: 12.1419 - Accuracy: 0.3382 - F1: 0.3016
sub_10:Test (Best Model) - Loss: 10.6968 - Accuracy: 0.3235 - F1: 0.3128
sub_10:Test (Best Model) - Loss: 11.7734 - Accuracy: 0.3382 - F1: 0.3367
sub_10:Test (Best Model) - Loss: 13.0340 - Accuracy: 0.3676 - F1: 0.3570
sub_10:Test (Best Model) - Loss: 12.5655 - Accuracy: 0.3235 - F1: 0.3160
sub_10:Test (Best Model) - Loss: 17.3730 - Accuracy: 0.2754 - F1: 0.2352
sub_10:Test (Best Model) - Loss: 9.6519 - Accuracy: 0.3188 - F1: 0.3043
sub_10:Test (Best Model) - Loss: 15.9372 - Accuracy: 0.3043 - F1: 0.2468
sub_10:Test (Best Model) - Loss: 9.6875 - Accuracy: 0.3768 - F1: 0.3797
sub_10:Test (Best Model) - Loss: 12.9981 - Accuracy: 0.3188 - F1: 0.3098
sub_11:Test (Best Model) - Loss: 16.5066 - Accuracy: 0.3333 - F1: 0.3225
sub_11:Test (Best Model) - Loss: 12.1999 - Accuracy: 0.3768 - F1: 0.3113
sub_11:Test (Best Model) - Loss: 33.3223 - Accuracy: 0.2464 - F1: 0.2385
sub_11:Test (Best Model) - Loss: 14.2334 - Accuracy: 0.3478 - F1: 0.3166
sub_11:Test (Best Model) - Loss: 15.2088 - Accuracy: 0.2319 - F1: 0.2098
sub_11:Test (Best Model) - Loss: 15.1345 - Accuracy: 0.3043 - F1: 0.2262
sub_11:Test (Best Model) - Loss: 14.4619 - Accuracy: 0.4058 - F1: 0.3196
sub_11:Test (Best Model) - Loss: 11.6511 - Accuracy: 0.3623 - F1: 0.3491
sub_11:Test (Best Model) - Loss: 13.5613 - Accuracy: 0.4203 - F1: 0.3764
sub_11:Test (Best Model) - Loss: 12.9892 - Accuracy: 0.4928 - F1: 0.4269
sub_11:Test (Best Model) - Loss: 9.2517 - Accuracy: 0.3623 - F1: 0.3268
sub_11:Test (Best Model) - Loss: 8.6595 - Accuracy: 0.4348 - F1: 0.3994
sub_11:Test (Best Model) - Loss: 7.7684 - Accuracy: 0.5507 - F1: 0.5352
sub_11:Test (Best Model) - Loss: 9.6296 - Accuracy: 0.4058 - F1: 0.3188
sub_11:Test (Best Model) - Loss: 10.1457 - Accuracy: 0.4928 - F1: 0.4325
sub_12:Test (Best Model) - Loss: 8.4014 - Accuracy: 0.4559 - F1: 0.4551
sub_12:Test (Best Model) - Loss: 6.6056 - Accuracy: 0.5735 - F1: 0.5725
sub_12:Test (Best Model) - Loss: 8.4756 - Accuracy: 0.3971 - F1: 0.4073
sub_12:Test (Best Model) - Loss: 8.7915 - Accuracy: 0.4265 - F1: 0.4115
sub_12:Test (Best Model) - Loss: 12.5050 - Accuracy: 0.5441 - F1: 0.5353
sub_12:Test (Best Model) - Loss: 9.4585 - Accuracy: 0.4783 - F1: 0.4743
sub_12:Test (Best Model) - Loss: 7.9478 - Accuracy: 0.5797 - F1: 0.5782
sub_12:Test (Best Model) - Loss: 10.1718 - Accuracy: 0.4783 - F1: 0.4620
sub_12:Test (Best Model) - Loss: 9.8416 - Accuracy: 0.4928 - F1: 0.5047
sub_12:Test (Best Model) - Loss: 7.0450 - Accuracy: 0.4928 - F1: 0.4718
sub_12:Test (Best Model) - Loss: 16.5178 - Accuracy: 0.4559 - F1: 0.4631
sub_12:Test (Best Model) - Loss: 13.4879 - Accuracy: 0.3529 - F1: 0.3170
sub_12:Test (Best Model) - Loss: 13.1205 - Accuracy: 0.5000 - F1: 0.5063
sub_12:Test (Best Model) - Loss: 13.2926 - Accuracy: 0.4265 - F1: 0.4294
sub_12:Test (Best Model) - Loss: 10.6796 - Accuracy: 0.4265 - F1: 0.3951
sub_13:Test (Best Model) - Loss: 14.6292 - Accuracy: 0.4265 - F1: 0.4329
sub_13:Test (Best Model) - Loss: 14.3787 - Accuracy: 0.3971 - F1: 0.3785
sub_13:Test (Best Model) - Loss: 15.2359 - Accuracy: 0.4853 - F1: 0.4526
sub_13:Test (Best Model) - Loss: 15.3402 - Accuracy: 0.3971 - F1: 0.3897
sub_13:Test (Best Model) - Loss: 11.6351 - Accuracy: 0.4118 - F1: 0.4325
sub_13:Test (Best Model) - Loss: 13.1992 - Accuracy: 0.3623 - F1: 0.3753
sub_13:Test (Best Model) - Loss: 9.2690 - Accuracy: 0.4493 - F1: 0.4495
sub_13:Test (Best Model) - Loss: 16.5628 - Accuracy: 0.3768 - F1: 0.3762
sub_13:Test (Best Model) - Loss: 14.3802 - Accuracy: 0.4348 - F1: 0.4515
sub_13:Test (Best Model) - Loss: 14.5550 - Accuracy: 0.3768 - F1: 0.3948
sub_13:Test (Best Model) - Loss: 10.4853 - Accuracy: 0.3971 - F1: 0.3872
sub_13:Test (Best Model) - Loss: 10.7932 - Accuracy: 0.3235 - F1: 0.3408
sub_13:Test (Best Model) - Loss: 11.2149 - Accuracy: 0.2941 - F1: 0.3112
sub_13:Test (Best Model) - Loss: 13.4089 - Accuracy: 0.3824 - F1: 0.3971
sub_13:Test (Best Model) - Loss: 10.9199 - Accuracy: 0.2647 - F1: 0.2659
sub_14:Test (Best Model) - Loss: 12.4819 - Accuracy: 0.3088 - F1: 0.3358
sub_14:Test (Best Model) - Loss: 20.1461 - Accuracy: 0.3235 - F1: 0.3068
sub_14:Test (Best Model) - Loss: 10.9727 - Accuracy: 0.3382 - F1: 0.3304
sub_14:Test (Best Model) - Loss: 11.2823 - Accuracy: 0.3824 - F1: 0.4187
sub_14:Test (Best Model) - Loss: 13.2452 - Accuracy: 0.2941 - F1: 0.2879
sub_14:Test (Best Model) - Loss: 11.9366 - Accuracy: 0.3529 - F1: 0.3719
sub_14:Test (Best Model) - Loss: 14.4436 - Accuracy: 0.3676 - F1: 0.3724
sub_14:Test (Best Model) - Loss: 16.2796 - Accuracy: 0.3235 - F1: 0.3530
sub_14:Test (Best Model) - Loss: 14.6696 - Accuracy: 0.4412 - F1: 0.4362
sub_14:Test (Best Model) - Loss: 13.5357 - Accuracy: 0.3971 - F1: 0.4031
sub_14:Test (Best Model) - Loss: 17.3783 - Accuracy: 0.3824 - F1: 0.3886
sub_14:Test (Best Model) - Loss: 17.5339 - Accuracy: 0.2941 - F1: 0.2742
sub_14:Test (Best Model) - Loss: 12.0206 - Accuracy: 0.3529 - F1: 0.3532
sub_14:Test (Best Model) - Loss: 7.2027 - Accuracy: 0.4559 - F1: 0.4533
sub_14:Test (Best Model) - Loss: 10.0344 - Accuracy: 0.4265 - F1: 0.4094
sub_15:Test (Best Model) - Loss: 14.2070 - Accuracy: 0.4118 - F1: 0.4284
sub_15:Test (Best Model) - Loss: 12.2394 - Accuracy: 0.4118 - F1: 0.4145
sub_15:Test (Best Model) - Loss: 12.6654 - Accuracy: 0.4706 - F1: 0.4913
sub_15:Test (Best Model) - Loss: 12.1259 - Accuracy: 0.4706 - F1: 0.4810
sub_15:Test (Best Model) - Loss: 16.2745 - Accuracy: 0.4265 - F1: 0.4201
sub_15:Test (Best Model) - Loss: 10.6963 - Accuracy: 0.5294 - F1: 0.5399
sub_15:Test (Best Model) - Loss: 16.4015 - Accuracy: 0.4412 - F1: 0.3781
sub_15:Test (Best Model) - Loss: 11.2204 - Accuracy: 0.5147 - F1: 0.5120
sub_15:Test (Best Model) - Loss: 10.2113 - Accuracy: 0.4265 - F1: 0.4232
sub_15:Test (Best Model) - Loss: 7.8485 - Accuracy: 0.5588 - F1: 0.5834
sub_15:Test (Best Model) - Loss: 13.2551 - Accuracy: 0.4559 - F1: 0.4079
sub_15:Test (Best Model) - Loss: 14.1014 - Accuracy: 0.3529 - F1: 0.3402
sub_15:Test (Best Model) - Loss: 15.3352 - Accuracy: 0.3529 - F1: 0.3162
sub_15:Test (Best Model) - Loss: 12.4442 - Accuracy: 0.4265 - F1: 0.3933
sub_15:Test (Best Model) - Loss: 22.4125 - Accuracy: 0.3676 - F1: 0.3006
sub_16:Test (Best Model) - Loss: 9.2959 - Accuracy: 0.5147 - F1: 0.4223
sub_16:Test (Best Model) - Loss: 5.0671 - Accuracy: 0.6765 - F1: 0.6541
sub_16:Test (Best Model) - Loss: 13.3171 - Accuracy: 0.4118 - F1: 0.3941
sub_16:Test (Best Model) - Loss: 8.9872 - Accuracy: 0.4559 - F1: 0.4644
sub_16:Test (Best Model) - Loss: 14.6102 - Accuracy: 0.4559 - F1: 0.3675
sub_16:Test (Best Model) - Loss: 6.8060 - Accuracy: 0.6324 - F1: 0.6144
sub_16:Test (Best Model) - Loss: 9.4272 - Accuracy: 0.5147 - F1: 0.4704
sub_16:Test (Best Model) - Loss: 9.7013 - Accuracy: 0.4853 - F1: 0.4591
sub_16:Test (Best Model) - Loss: 11.2260 - Accuracy: 0.4706 - F1: 0.4357
sub_16:Test (Best Model) - Loss: 14.1406 - Accuracy: 0.4265 - F1: 0.4033
sub_16:Test (Best Model) - Loss: 10.2097 - Accuracy: 0.4265 - F1: 0.4349
sub_16:Test (Best Model) - Loss: 13.3596 - Accuracy: 0.4853 - F1: 0.4033
sub_16:Test (Best Model) - Loss: 7.2216 - Accuracy: 0.5147 - F1: 0.4702
sub_16:Test (Best Model) - Loss: 7.9914 - Accuracy: 0.5735 - F1: 0.5105
sub_16:Test (Best Model) - Loss: 4.3673 - Accuracy: 0.6176 - F1: 0.5878
sub_17:Test (Best Model) - Loss: 10.8233 - Accuracy: 0.4348 - F1: 0.3849
sub_17:Test (Best Model) - Loss: 7.4633 - Accuracy: 0.4203 - F1: 0.4074
sub_17:Test (Best Model) - Loss: 11.4370 - Accuracy: 0.4348 - F1: 0.4175
sub_17:Test (Best Model) - Loss: 9.7434 - Accuracy: 0.3623 - F1: 0.3812
sub_17:Test (Best Model) - Loss: 10.8492 - Accuracy: 0.3913 - F1: 0.3463
sub_17:Test (Best Model) - Loss: 26.4572 - Accuracy: 0.2609 - F1: 0.2047
sub_17:Test (Best Model) - Loss: 17.6601 - Accuracy: 0.3333 - F1: 0.2827
sub_17:Test (Best Model) - Loss: 19.3952 - Accuracy: 0.3478 - F1: 0.3019
sub_17:Test (Best Model) - Loss: 19.9911 - Accuracy: 0.4058 - F1: 0.3556
sub_17:Test (Best Model) - Loss: 19.3971 - Accuracy: 0.4928 - F1: 0.4413
sub_17:Test (Best Model) - Loss: 9.8668 - Accuracy: 0.5147 - F1: 0.5032
sub_17:Test (Best Model) - Loss: 8.5280 - Accuracy: 0.4853 - F1: 0.4614
sub_17:Test (Best Model) - Loss: 10.6968 - Accuracy: 0.4559 - F1: 0.4578
sub_17:Test (Best Model) - Loss: 12.9381 - Accuracy: 0.3824 - F1: 0.3726
sub_17:Test (Best Model) - Loss: 11.2327 - Accuracy: 0.3088 - F1: 0.2935
sub_18:Test (Best Model) - Loss: 8.0555 - Accuracy: 0.4928 - F1: 0.5001
sub_18:Test (Best Model) - Loss: 11.5489 - Accuracy: 0.4203 - F1: 0.4201
sub_18:Test (Best Model) - Loss: 8.8782 - Accuracy: 0.4058 - F1: 0.4254
sub_18:Test (Best Model) - Loss: 9.8664 - Accuracy: 0.4058 - F1: 0.3771
sub_18:Test (Best Model) - Loss: 7.9629 - Accuracy: 0.3768 - F1: 0.3929
sub_18:Test (Best Model) - Loss: 10.8457 - Accuracy: 0.3824 - F1: 0.4051
sub_18:Test (Best Model) - Loss: 12.6286 - Accuracy: 0.4118 - F1: 0.4261
sub_18:Test (Best Model) - Loss: 14.2802 - Accuracy: 0.3235 - F1: 0.3473
sub_18:Test (Best Model) - Loss: 8.5233 - Accuracy: 0.3971 - F1: 0.4089
sub_18:Test (Best Model) - Loss: 12.8510 - Accuracy: 0.3088 - F1: 0.3191
sub_18:Test (Best Model) - Loss: 9.4580 - Accuracy: 0.3824 - F1: 0.3707
sub_18:Test (Best Model) - Loss: 13.6283 - Accuracy: 0.4118 - F1: 0.4130
sub_18:Test (Best Model) - Loss: 10.9182 - Accuracy: 0.4118 - F1: 0.3749
sub_18:Test (Best Model) - Loss: 16.2559 - Accuracy: 0.2647 - F1: 0.2832
sub_18:Test (Best Model) - Loss: 8.6443 - Accuracy: 0.3971 - F1: 0.3633
sub_19:Test (Best Model) - Loss: 12.6230 - Accuracy: 0.2794 - F1: 0.2602
sub_19:Test (Best Model) - Loss: 17.9101 - Accuracy: 0.3235 - F1: 0.2752
sub_19:Test (Best Model) - Loss: 14.6662 - Accuracy: 0.2941 - F1: 0.2656
sub_19:Test (Best Model) - Loss: 18.8449 - Accuracy: 0.3382 - F1: 0.2725
sub_19:Test (Best Model) - Loss: 20.8566 - Accuracy: 0.3676 - F1: 0.3484
sub_19:Test (Best Model) - Loss: 17.2109 - Accuracy: 0.2794 - F1: 0.2304
sub_19:Test (Best Model) - Loss: 12.7491 - Accuracy: 0.3824 - F1: 0.3226
sub_19:Test (Best Model) - Loss: 14.6777 - Accuracy: 0.2647 - F1: 0.2553
sub_19:Test (Best Model) - Loss: 16.1030 - Accuracy: 0.2941 - F1: 0.2589
sub_19:Test (Best Model) - Loss: 15.3259 - Accuracy: 0.3382 - F1: 0.3381
sub_19:Test (Best Model) - Loss: 22.1623 - Accuracy: 0.2059 - F1: 0.1590
sub_19:Test (Best Model) - Loss: 20.3353 - Accuracy: 0.1324 - F1: 0.1413
sub_19:Test (Best Model) - Loss: 19.8441 - Accuracy: 0.3529 - F1: 0.2958
sub_19:Test (Best Model) - Loss: 13.5334 - Accuracy: 0.2794 - F1: 0.2854
sub_19:Test (Best Model) - Loss: 15.0517 - Accuracy: 0.3088 - F1: 0.3026
sub_20:Test (Best Model) - Loss: 6.7154 - Accuracy: 0.5294 - F1: 0.5275
sub_20:Test (Best Model) - Loss: 9.0597 - Accuracy: 0.5588 - F1: 0.5749
sub_20:Test (Best Model) - Loss: 12.2981 - Accuracy: 0.3971 - F1: 0.4234
sub_20:Test (Best Model) - Loss: 9.5283 - Accuracy: 0.5588 - F1: 0.5856
sub_20:Test (Best Model) - Loss: 7.7970 - Accuracy: 0.5735 - F1: 0.5463
sub_20:Test (Best Model) - Loss: 9.5837 - Accuracy: 0.5000 - F1: 0.5032
sub_20:Test (Best Model) - Loss: 12.9153 - Accuracy: 0.3235 - F1: 0.3295
sub_20:Test (Best Model) - Loss: 8.2365 - Accuracy: 0.4412 - F1: 0.4617
sub_20:Test (Best Model) - Loss: 8.9273 - Accuracy: 0.4412 - F1: 0.4270
sub_20:Test (Best Model) - Loss: 12.9436 - Accuracy: 0.4118 - F1: 0.4281
sub_20:Test (Best Model) - Loss: 10.1381 - Accuracy: 0.3768 - F1: 0.3792
sub_20:Test (Best Model) - Loss: 9.1140 - Accuracy: 0.4348 - F1: 0.4182
sub_20:Test (Best Model) - Loss: 12.5668 - Accuracy: 0.3768 - F1: 0.3701
sub_20:Test (Best Model) - Loss: 14.4967 - Accuracy: 0.4638 - F1: 0.4882
sub_20:Test (Best Model) - Loss: 10.4426 - Accuracy: 0.4638 - F1: 0.4861
sub_21:Test (Best Model) - Loss: 10.8600 - Accuracy: 0.4118 - F1: 0.3840
sub_21:Test (Best Model) - Loss: 16.1660 - Accuracy: 0.4412 - F1: 0.4126
sub_21:Test (Best Model) - Loss: 12.1676 - Accuracy: 0.5000 - F1: 0.4625
sub_21:Test (Best Model) - Loss: 13.5163 - Accuracy: 0.3824 - F1: 0.3711
sub_21:Test (Best Model) - Loss: 18.2692 - Accuracy: 0.3529 - F1: 0.3238
sub_21:Test (Best Model) - Loss: 12.2635 - Accuracy: 0.3676 - F1: 0.3510
sub_21:Test (Best Model) - Loss: 6.3831 - Accuracy: 0.5000 - F1: 0.4764
sub_21:Test (Best Model) - Loss: 8.4636 - Accuracy: 0.4265 - F1: 0.4126
sub_21:Test (Best Model) - Loss: 16.0457 - Accuracy: 0.4853 - F1: 0.4592
sub_21:Test (Best Model) - Loss: 6.9206 - Accuracy: 0.5147 - F1: 0.4814
sub_21:Test (Best Model) - Loss: 10.9052 - Accuracy: 0.3235 - F1: 0.2642
sub_21:Test (Best Model) - Loss: 11.1330 - Accuracy: 0.4118 - F1: 0.3854
sub_21:Test (Best Model) - Loss: 7.3234 - Accuracy: 0.4706 - F1: 0.4221
sub_21:Test (Best Model) - Loss: 11.8654 - Accuracy: 0.4118 - F1: 0.3816
sub_21:Test (Best Model) - Loss: 9.4485 - Accuracy: 0.5735 - F1: 0.5561
sub_22:Test (Best Model) - Loss: 12.3842 - Accuracy: 0.3235 - F1: 0.3352
sub_22:Test (Best Model) - Loss: 16.6130 - Accuracy: 0.3088 - F1: 0.2875
sub_22:Test (Best Model) - Loss: 14.0025 - Accuracy: 0.3971 - F1: 0.4073
sub_22:Test (Best Model) - Loss: 12.6163 - Accuracy: 0.3824 - F1: 0.3863
sub_22:Test (Best Model) - Loss: 12.0414 - Accuracy: 0.4118 - F1: 0.4478
sub_22:Test (Best Model) - Loss: 17.7225 - Accuracy: 0.3043 - F1: 0.2536
sub_22:Test (Best Model) - Loss: 15.2986 - Accuracy: 0.2464 - F1: 0.2110
sub_22:Test (Best Model) - Loss: 9.5804 - Accuracy: 0.3478 - F1: 0.3490
sub_22:Test (Best Model) - Loss: 7.0642 - Accuracy: 0.4493 - F1: 0.4502
sub_22:Test (Best Model) - Loss: 7.9986 - Accuracy: 0.3043 - F1: 0.3127
sub_22:Test (Best Model) - Loss: 9.2133 - Accuracy: 0.4412 - F1: 0.4233
sub_22:Test (Best Model) - Loss: 12.2943 - Accuracy: 0.3235 - F1: 0.3669
sub_22:Test (Best Model) - Loss: 8.9451 - Accuracy: 0.3971 - F1: 0.4129
sub_22:Test (Best Model) - Loss: 8.4861 - Accuracy: 0.3529 - F1: 0.3663
sub_22:Test (Best Model) - Loss: 8.4504 - Accuracy: 0.4118 - F1: 0.4294
sub_23:Test (Best Model) - Loss: 12.0639 - Accuracy: 0.3188 - F1: 0.3121
sub_23:Test (Best Model) - Loss: 10.0876 - Accuracy: 0.5217 - F1: 0.5412
sub_23:Test (Best Model) - Loss: 12.3460 - Accuracy: 0.3043 - F1: 0.2877
sub_23:Test (Best Model) - Loss: 11.2537 - Accuracy: 0.4638 - F1: 0.4479
sub_23:Test (Best Model) - Loss: 8.8671 - Accuracy: 0.4783 - F1: 0.5008
sub_23:Test (Best Model) - Loss: 12.9599 - Accuracy: 0.3971 - F1: 0.3306
sub_23:Test (Best Model) - Loss: 9.1033 - Accuracy: 0.5000 - F1: 0.5111
sub_23:Test (Best Model) - Loss: 7.3344 - Accuracy: 0.5294 - F1: 0.5344
sub_23:Test (Best Model) - Loss: 7.1963 - Accuracy: 0.5441 - F1: 0.5410
sub_23:Test (Best Model) - Loss: 7.9738 - Accuracy: 0.4853 - F1: 0.4600
sub_23:Test (Best Model) - Loss: 22.8248 - Accuracy: 0.3768 - F1: 0.3566
sub_23:Test (Best Model) - Loss: 20.3583 - Accuracy: 0.4638 - F1: 0.4224
sub_23:Test (Best Model) - Loss: 18.5217 - Accuracy: 0.4348 - F1: 0.4258
sub_23:Test (Best Model) - Loss: 19.8469 - Accuracy: 0.4348 - F1: 0.4103
sub_23:Test (Best Model) - Loss: 21.7412 - Accuracy: 0.3478 - F1: 0.3288
sub_24:Test (Best Model) - Loss: 13.6769 - Accuracy: 0.3382 - F1: 0.3312
sub_24:Test (Best Model) - Loss: 12.3696 - Accuracy: 0.3676 - F1: 0.3407
sub_24:Test (Best Model) - Loss: 10.4971 - Accuracy: 0.3382 - F1: 0.3401
sub_24:Test (Best Model) - Loss: 11.9372 - Accuracy: 0.2206 - F1: 0.1915
sub_24:Test (Best Model) - Loss: 10.3867 - Accuracy: 0.3382 - F1: 0.3267
sub_24:Test (Best Model) - Loss: 9.5048 - Accuracy: 0.2794 - F1: 0.2655
sub_24:Test (Best Model) - Loss: 7.5511 - Accuracy: 0.4265 - F1: 0.4111
sub_24:Test (Best Model) - Loss: 6.7980 - Accuracy: 0.3676 - F1: 0.3361
sub_24:Test (Best Model) - Loss: 6.5972 - Accuracy: 0.3824 - F1: 0.3719
sub_24:Test (Best Model) - Loss: 6.0852 - Accuracy: 0.5000 - F1: 0.4917
sub_24:Test (Best Model) - Loss: 10.5534 - Accuracy: 0.3529 - F1: 0.3166
sub_24:Test (Best Model) - Loss: 12.7895 - Accuracy: 0.3382 - F1: 0.3083
sub_24:Test (Best Model) - Loss: 8.1007 - Accuracy: 0.3676 - F1: 0.3437
sub_24:Test (Best Model) - Loss: 10.6153 - Accuracy: 0.3529 - F1: 0.3044
sub_24:Test (Best Model) - Loss: 9.3277 - Accuracy: 0.3382 - F1: 0.3309
sub_25:Test (Best Model) - Loss: 10.6755 - Accuracy: 0.4928 - F1: 0.4296
sub_25:Test (Best Model) - Loss: 10.5331 - Accuracy: 0.3913 - F1: 0.3472
sub_25:Test (Best Model) - Loss: 11.3081 - Accuracy: 0.4638 - F1: 0.4376
sub_25:Test (Best Model) - Loss: 8.6499 - Accuracy: 0.4058 - F1: 0.4043
sub_25:Test (Best Model) - Loss: 10.6817 - Accuracy: 0.4493 - F1: 0.4408
sub_25:Test (Best Model) - Loss: 21.0425 - Accuracy: 0.3088 - F1: 0.2522
sub_25:Test (Best Model) - Loss: 17.3544 - Accuracy: 0.3382 - F1: 0.2859
sub_25:Test (Best Model) - Loss: 12.4625 - Accuracy: 0.3824 - F1: 0.3592
sub_25:Test (Best Model) - Loss: 18.4088 - Accuracy: 0.3824 - F1: 0.3437
sub_25:Test (Best Model) - Loss: 18.8188 - Accuracy: 0.4559 - F1: 0.3790
sub_25:Test (Best Model) - Loss: 13.9467 - Accuracy: 0.4118 - F1: 0.3845
sub_25:Test (Best Model) - Loss: 12.5616 - Accuracy: 0.4265 - F1: 0.4050
sub_25:Test (Best Model) - Loss: 8.9549 - Accuracy: 0.4412 - F1: 0.3849
sub_25:Test (Best Model) - Loss: 14.0168 - Accuracy: 0.2500 - F1: 0.1877
sub_25:Test (Best Model) - Loss: 15.2525 - Accuracy: 0.3088 - F1: 0.2443
sub_26:Test (Best Model) - Loss: 7.6587 - Accuracy: 0.5072 - F1: 0.5176
sub_26:Test (Best Model) - Loss: 10.3945 - Accuracy: 0.3623 - F1: 0.3828
sub_26:Test (Best Model) - Loss: 12.6106 - Accuracy: 0.3623 - F1: 0.3741
sub_26:Test (Best Model) - Loss: 10.6596 - Accuracy: 0.3188 - F1: 0.3232
sub_26:Test (Best Model) - Loss: 9.0381 - Accuracy: 0.4638 - F1: 0.4729
sub_26:Test (Best Model) - Loss: 14.9527 - Accuracy: 0.2353 - F1: 0.2693
sub_26:Test (Best Model) - Loss: 7.5383 - Accuracy: 0.4265 - F1: 0.4469
sub_26:Test (Best Model) - Loss: 12.5376 - Accuracy: 0.2500 - F1: 0.2437
sub_26:Test (Best Model) - Loss: 14.0621 - Accuracy: 0.3382 - F1: 0.3364
sub_26:Test (Best Model) - Loss: 12.2545 - Accuracy: 0.3676 - F1: 0.3436
sub_26:Test (Best Model) - Loss: 13.4493 - Accuracy: 0.5147 - F1: 0.5172
sub_26:Test (Best Model) - Loss: 10.9389 - Accuracy: 0.5441 - F1: 0.5582
sub_26:Test (Best Model) - Loss: 11.7162 - Accuracy: 0.4853 - F1: 0.4962
sub_26:Test (Best Model) - Loss: 8.5483 - Accuracy: 0.5441 - F1: 0.5608
sub_26:Test (Best Model) - Loss: 13.0966 - Accuracy: 0.4706 - F1: 0.5020
sub_27:Test (Best Model) - Loss: 10.8233 - Accuracy: 0.4348 - F1: 0.3849
sub_27:Test (Best Model) - Loss: 7.4633 - Accuracy: 0.4203 - F1: 0.4074
sub_27:Test (Best Model) - Loss: 11.4370 - Accuracy: 0.4348 - F1: 0.4175
sub_27:Test (Best Model) - Loss: 9.7434 - Accuracy: 0.3623 - F1: 0.3812
sub_27:Test (Best Model) - Loss: 10.8492 - Accuracy: 0.3913 - F1: 0.3463
sub_27:Test (Best Model) - Loss: 26.4572 - Accuracy: 0.2609 - F1: 0.2047
sub_27:Test (Best Model) - Loss: 17.6601 - Accuracy: 0.3333 - F1: 0.2827
sub_27:Test (Best Model) - Loss: 19.3952 - Accuracy: 0.3478 - F1: 0.3019
sub_27:Test (Best Model) - Loss: 19.9911 - Accuracy: 0.4058 - F1: 0.3556
sub_27:Test (Best Model) - Loss: 19.3971 - Accuracy: 0.4928 - F1: 0.4413
sub_27:Test (Best Model) - Loss: 9.8668 - Accuracy: 0.5147 - F1: 0.5032
sub_27:Test (Best Model) - Loss: 8.5280 - Accuracy: 0.4853 - F1: 0.4614
sub_27:Test (Best Model) - Loss: 10.6968 - Accuracy: 0.4559 - F1: 0.4578
sub_27:Test (Best Model) - Loss: 12.9381 - Accuracy: 0.3824 - F1: 0.3726
sub_27:Test (Best Model) - Loss: 11.2327 - Accuracy: 0.3088 - F1: 0.2935
sub_28:Test (Best Model) - Loss: 14.8423 - Accuracy: 0.3235 - F1: 0.3205
sub_28:Test (Best Model) - Loss: 16.0854 - Accuracy: 0.2941 - F1: 0.3074
sub_28:Test (Best Model) - Loss: 18.1639 - Accuracy: 0.3235 - F1: 0.3188
sub_28:Test (Best Model) - Loss: 15.6737 - Accuracy: 0.3382 - F1: 0.3007
sub_28:Test (Best Model) - Loss: 15.5123 - Accuracy: 0.2794 - F1: 0.2685
sub_28:Test (Best Model) - Loss: 29.8454 - Accuracy: 0.2206 - F1: 0.2158
sub_28:Test (Best Model) - Loss: 25.4899 - Accuracy: 0.2941 - F1: 0.2584
sub_28:Test (Best Model) - Loss: 30.2108 - Accuracy: 0.2206 - F1: 0.2147
sub_28:Test (Best Model) - Loss: 35.2497 - Accuracy: 0.2500 - F1: 0.2485
sub_28:Test (Best Model) - Loss: 30.7475 - Accuracy: 0.3235 - F1: 0.2593
sub_28:Test (Best Model) - Loss: 11.0061 - Accuracy: 0.4706 - F1: 0.4329
sub_28:Test (Best Model) - Loss: 11.1665 - Accuracy: 0.4265 - F1: 0.3767
sub_28:Test (Best Model) - Loss: 7.3393 - Accuracy: 0.3676 - F1: 0.3390
sub_28:Test (Best Model) - Loss: 10.8636 - Accuracy: 0.3971 - F1: 0.3814
sub_28:Test (Best Model) - Loss: 15.9290 - Accuracy: 0.4706 - F1: 0.4250
sub_29:Test (Best Model) - Loss: 12.5814 - Accuracy: 0.5147 - F1: 0.5307
sub_29:Test (Best Model) - Loss: 12.8113 - Accuracy: 0.5294 - F1: 0.5521
sub_29:Test (Best Model) - Loss: 14.9139 - Accuracy: 0.5588 - F1: 0.5614
sub_29:Test (Best Model) - Loss: 14.0585 - Accuracy: 0.4706 - F1: 0.4571
sub_29:Test (Best Model) - Loss: 11.7582 - Accuracy: 0.6324 - F1: 0.6179
sub_29:Test (Best Model) - Loss: 7.5632 - Accuracy: 0.4853 - F1: 0.4856
sub_29:Test (Best Model) - Loss: 10.4364 - Accuracy: 0.5441 - F1: 0.4967
sub_29:Test (Best Model) - Loss: 8.8872 - Accuracy: 0.4118 - F1: 0.4009
sub_29:Test (Best Model) - Loss: 6.3517 - Accuracy: 0.6176 - F1: 0.6335
sub_29:Test (Best Model) - Loss: 9.0059 - Accuracy: 0.5588 - F1: 0.5496
sub_29:Test (Best Model) - Loss: 7.9637 - Accuracy: 0.5942 - F1: 0.5855
sub_29:Test (Best Model) - Loss: 7.4110 - Accuracy: 0.5942 - F1: 0.6159
sub_29:Test (Best Model) - Loss: 11.2525 - Accuracy: 0.4783 - F1: 0.4944
sub_29:Test (Best Model) - Loss: 7.8197 - Accuracy: 0.5217 - F1: 0.5296
sub_29:Test (Best Model) - Loss: 9.4461 - Accuracy: 0.6232 - F1: 0.6272

=== Summary Results ===

acc: 40.53 ± 6.01
F1: 39.16 ± 6.17
acc-in: 52.61 ± 5.98
F1-in: 50.36 ± 6.08
