lr: 0.001
sub_1:Test (Best Model) - Loss: 8.9803 - Accuracy: 0.3824 - F1: 0.4098
sub_1:Test (Best Model) - Loss: 9.5719 - Accuracy: 0.4559 - F1: 0.4835
sub_1:Test (Best Model) - Loss: 9.4402 - Accuracy: 0.3824 - F1: 0.3735
sub_1:Test (Best Model) - Loss: 4.3901 - Accuracy: 0.5735 - F1: 0.5828
sub_1:Test (Best Model) - Loss: 5.5721 - Accuracy: 0.4706 - F1: 0.5015
sub_1:Test (Best Model) - Loss: 8.2562 - Accuracy: 0.3768 - F1: 0.3422
sub_1:Test (Best Model) - Loss: 8.2251 - Accuracy: 0.3333 - F1: 0.3053
sub_1:Test (Best Model) - Loss: 10.1000 - Accuracy: 0.3043 - F1: 0.2634
sub_1:Test (Best Model) - Loss: 9.1741 - Accuracy: 0.4058 - F1: 0.4138
sub_1:Test (Best Model) - Loss: 9.0160 - Accuracy: 0.3478 - F1: 0.3281
sub_1:Test (Best Model) - Loss: 10.8126 - Accuracy: 0.3382 - F1: 0.3188
sub_1:Test (Best Model) - Loss: 6.9300 - Accuracy: 0.4559 - F1: 0.4672
sub_1:Test (Best Model) - Loss: 6.7934 - Accuracy: 0.4412 - F1: 0.4501
sub_1:Test (Best Model) - Loss: 7.9576 - Accuracy: 0.4559 - F1: 0.4616
sub_1:Test (Best Model) - Loss: 6.9160 - Accuracy: 0.4559 - F1: 0.4208
sub_2:Test (Best Model) - Loss: 12.5933 - Accuracy: 0.2754 - F1: 0.2691
sub_2:Test (Best Model) - Loss: 10.2651 - Accuracy: 0.2319 - F1: 0.2392
sub_2:Test (Best Model) - Loss: 10.0420 - Accuracy: 0.3043 - F1: 0.3005
sub_2:Test (Best Model) - Loss: 10.4640 - Accuracy: 0.1884 - F1: 0.1722
sub_2:Test (Best Model) - Loss: 12.6357 - Accuracy: 0.2754 - F1: 0.2820
sub_2:Test (Best Model) - Loss: 5.4385 - Accuracy: 0.3676 - F1: 0.3711
sub_2:Test (Best Model) - Loss: 7.0911 - Accuracy: 0.2206 - F1: 0.2014
sub_2:Test (Best Model) - Loss: 5.9717 - Accuracy: 0.3529 - F1: 0.3485
sub_2:Test (Best Model) - Loss: 5.6755 - Accuracy: 0.4118 - F1: 0.3987
sub_2:Test (Best Model) - Loss: 7.1640 - Accuracy: 0.4118 - F1: 0.4054
sub_2:Test (Best Model) - Loss: 11.6059 - Accuracy: 0.3188 - F1: 0.2647
sub_2:Test (Best Model) - Loss: 9.6673 - Accuracy: 0.3333 - F1: 0.2873
sub_2:Test (Best Model) - Loss: 9.7741 - Accuracy: 0.3478 - F1: 0.3254
sub_2:Test (Best Model) - Loss: 12.2100 - Accuracy: 0.3043 - F1: 0.2688
sub_2:Test (Best Model) - Loss: 7.3567 - Accuracy: 0.3478 - F1: 0.3383
sub_3:Test (Best Model) - Loss: 9.8367 - Accuracy: 0.3088 - F1: 0.2824
sub_3:Test (Best Model) - Loss: 11.2701 - Accuracy: 0.2206 - F1: 0.2185
sub_3:Test (Best Model) - Loss: 9.9629 - Accuracy: 0.3235 - F1: 0.2903
sub_3:Test (Best Model) - Loss: 11.4304 - Accuracy: 0.3088 - F1: 0.2827
sub_3:Test (Best Model) - Loss: 12.3259 - Accuracy: 0.3088 - F1: 0.2466
sub_3:Test (Best Model) - Loss: 8.6558 - Accuracy: 0.3043 - F1: 0.2604
sub_3:Test (Best Model) - Loss: 10.4085 - Accuracy: 0.2174 - F1: 0.2261
sub_3:Test (Best Model) - Loss: 7.2696 - Accuracy: 0.2464 - F1: 0.2430
sub_3:Test (Best Model) - Loss: 8.0555 - Accuracy: 0.3043 - F1: 0.2852
sub_3:Test (Best Model) - Loss: 10.3887 - Accuracy: 0.1594 - F1: 0.1294
sub_3:Test (Best Model) - Loss: 9.5154 - Accuracy: 0.3478 - F1: 0.3350
sub_3:Test (Best Model) - Loss: 11.8802 - Accuracy: 0.2319 - F1: 0.2014
sub_3:Test (Best Model) - Loss: 12.5393 - Accuracy: 0.3333 - F1: 0.3355
sub_3:Test (Best Model) - Loss: 10.6310 - Accuracy: 0.3043 - F1: 0.2771
sub_3:Test (Best Model) - Loss: 10.9981 - Accuracy: 0.2754 - F1: 0.2500
sub_4:Test (Best Model) - Loss: 7.0697 - Accuracy: 0.4058 - F1: 0.4168
sub_4:Test (Best Model) - Loss: 5.9451 - Accuracy: 0.4783 - F1: 0.4743
sub_4:Test (Best Model) - Loss: 10.1660 - Accuracy: 0.4783 - F1: 0.4926
sub_4:Test (Best Model) - Loss: 6.9833 - Accuracy: 0.4203 - F1: 0.4391
sub_4:Test (Best Model) - Loss: 7.5405 - Accuracy: 0.5072 - F1: 0.4855
sub_4:Test (Best Model) - Loss: 8.3141 - Accuracy: 0.3913 - F1: 0.3900
sub_4:Test (Best Model) - Loss: 6.5444 - Accuracy: 0.4203 - F1: 0.4160
sub_4:Test (Best Model) - Loss: 6.2932 - Accuracy: 0.4493 - F1: 0.4598
sub_4:Test (Best Model) - Loss: 7.2769 - Accuracy: 0.4638 - F1: 0.4415
sub_4:Test (Best Model) - Loss: 7.0449 - Accuracy: 0.4348 - F1: 0.4417
sub_4:Test (Best Model) - Loss: 10.4355 - Accuracy: 0.3188 - F1: 0.2928
sub_4:Test (Best Model) - Loss: 13.1708 - Accuracy: 0.2754 - F1: 0.2243
sub_4:Test (Best Model) - Loss: 8.5763 - Accuracy: 0.4058 - F1: 0.3740
sub_4:Test (Best Model) - Loss: 8.8332 - Accuracy: 0.3623 - F1: 0.3701
sub_4:Test (Best Model) - Loss: 10.0092 - Accuracy: 0.4493 - F1: 0.4417
sub_5:Test (Best Model) - Loss: 18.4618 - Accuracy: 0.3235 - F1: 0.3325
sub_5:Test (Best Model) - Loss: 16.3800 - Accuracy: 0.4559 - F1: 0.4143
sub_5:Test (Best Model) - Loss: 20.5893 - Accuracy: 0.4559 - F1: 0.4195
sub_5:Test (Best Model) - Loss: 13.4759 - Accuracy: 0.3529 - F1: 0.3463
sub_5:Test (Best Model) - Loss: 13.9086 - Accuracy: 0.3235 - F1: 0.3037
sub_5:Test (Best Model) - Loss: 9.2580 - Accuracy: 0.3971 - F1: 0.3524
sub_5:Test (Best Model) - Loss: 6.2763 - Accuracy: 0.6029 - F1: 0.6082
sub_5:Test (Best Model) - Loss: 5.7568 - Accuracy: 0.3971 - F1: 0.3988
sub_5:Test (Best Model) - Loss: 5.7870 - Accuracy: 0.5147 - F1: 0.4757
sub_5:Test (Best Model) - Loss: 6.6107 - Accuracy: 0.4118 - F1: 0.3913
sub_5:Test (Best Model) - Loss: 9.3140 - Accuracy: 0.3529 - F1: 0.3215
sub_5:Test (Best Model) - Loss: 5.7640 - Accuracy: 0.4265 - F1: 0.4327
sub_5:Test (Best Model) - Loss: 9.4426 - Accuracy: 0.3382 - F1: 0.3457
sub_5:Test (Best Model) - Loss: 8.0707 - Accuracy: 0.3529 - F1: 0.3672
sub_5:Test (Best Model) - Loss: 7.5123 - Accuracy: 0.5441 - F1: 0.5407
sub_6:Test (Best Model) - Loss: 5.8499 - Accuracy: 0.3088 - F1: 0.3006
sub_6:Test (Best Model) - Loss: 6.5855 - Accuracy: 0.4706 - F1: 0.4605
sub_6:Test (Best Model) - Loss: 6.2884 - Accuracy: 0.4265 - F1: 0.4055
sub_6:Test (Best Model) - Loss: 6.0661 - Accuracy: 0.4559 - F1: 0.4666
sub_6:Test (Best Model) - Loss: 8.2566 - Accuracy: 0.3529 - F1: 0.3194
sub_6:Test (Best Model) - Loss: 10.2344 - Accuracy: 0.2174 - F1: 0.1938
sub_6:Test (Best Model) - Loss: 8.1226 - Accuracy: 0.3478 - F1: 0.3113
sub_6:Test (Best Model) - Loss: 9.2950 - Accuracy: 0.3623 - F1: 0.2949
sub_6:Test (Best Model) - Loss: 9.2102 - Accuracy: 0.3623 - F1: 0.3463
sub_6:Test (Best Model) - Loss: 6.8079 - Accuracy: 0.3333 - F1: 0.3432
sub_6:Test (Best Model) - Loss: 7.0672 - Accuracy: 0.4493 - F1: 0.4175
sub_6:Test (Best Model) - Loss: 8.4055 - Accuracy: 0.3188 - F1: 0.2666
sub_6:Test (Best Model) - Loss: 11.0788 - Accuracy: 0.3623 - F1: 0.3673
sub_6:Test (Best Model) - Loss: 9.4246 - Accuracy: 0.3333 - F1: 0.3330
sub_6:Test (Best Model) - Loss: 6.3779 - Accuracy: 0.4783 - F1: 0.4717
sub_7:Test (Best Model) - Loss: 8.9690 - Accuracy: 0.4559 - F1: 0.4030
sub_7:Test (Best Model) - Loss: 6.9516 - Accuracy: 0.3971 - F1: 0.3954
sub_7:Test (Best Model) - Loss: 7.5363 - Accuracy: 0.4265 - F1: 0.4218
sub_7:Test (Best Model) - Loss: 3.2382 - Accuracy: 0.6618 - F1: 0.6438
sub_7:Test (Best Model) - Loss: 7.9242 - Accuracy: 0.4412 - F1: 0.4457
sub_7:Test (Best Model) - Loss: 11.9992 - Accuracy: 0.3676 - F1: 0.3490
sub_7:Test (Best Model) - Loss: 12.5948 - Accuracy: 0.2794 - F1: 0.2541
sub_7:Test (Best Model) - Loss: 11.0109 - Accuracy: 0.3676 - F1: 0.3819
sub_7:Test (Best Model) - Loss: 11.2257 - Accuracy: 0.3824 - F1: 0.3554
sub_7:Test (Best Model) - Loss: 8.7780 - Accuracy: 0.3529 - F1: 0.3431
sub_7:Test (Best Model) - Loss: 7.6800 - Accuracy: 0.4853 - F1: 0.4456
sub_7:Test (Best Model) - Loss: 8.5906 - Accuracy: 0.4706 - F1: 0.4299
sub_7:Test (Best Model) - Loss: 8.0999 - Accuracy: 0.3529 - F1: 0.3530
sub_7:Test (Best Model) - Loss: 7.4002 - Accuracy: 0.4853 - F1: 0.4719
sub_7:Test (Best Model) - Loss: 6.9164 - Accuracy: 0.4559 - F1: 0.4451
sub_8:Test (Best Model) - Loss: 8.7980 - Accuracy: 0.2647 - F1: 0.2783
sub_8:Test (Best Model) - Loss: 11.3828 - Accuracy: 0.3382 - F1: 0.3251
sub_8:Test (Best Model) - Loss: 12.8921 - Accuracy: 0.2500 - F1: 0.2633
sub_8:Test (Best Model) - Loss: 8.7285 - Accuracy: 0.2794 - F1: 0.2827
sub_8:Test (Best Model) - Loss: 9.9112 - Accuracy: 0.3676 - F1: 0.3610
sub_8:Test (Best Model) - Loss: 7.7077 - Accuracy: 0.3382 - F1: 0.3257
sub_8:Test (Best Model) - Loss: 8.0111 - Accuracy: 0.3676 - F1: 0.3685
sub_8:Test (Best Model) - Loss: 8.9104 - Accuracy: 0.2941 - F1: 0.2976
sub_8:Test (Best Model) - Loss: 10.0669 - Accuracy: 0.2500 - F1: 0.2376
sub_8:Test (Best Model) - Loss: 11.1765 - Accuracy: 0.1765 - F1: 0.1565
sub_8:Test (Best Model) - Loss: 11.7501 - Accuracy: 0.2206 - F1: 0.2164
sub_8:Test (Best Model) - Loss: 10.8046 - Accuracy: 0.2500 - F1: 0.2612
sub_8:Test (Best Model) - Loss: 13.6593 - Accuracy: 0.3088 - F1: 0.3023
sub_8:Test (Best Model) - Loss: 11.9323 - Accuracy: 0.3529 - F1: 0.3517
sub_8:Test (Best Model) - Loss: 10.6851 - Accuracy: 0.3235 - F1: 0.2912
sub_9:Test (Best Model) - Loss: 6.8777 - Accuracy: 0.3971 - F1: 0.4217
sub_9:Test (Best Model) - Loss: 5.1217 - Accuracy: 0.5000 - F1: 0.5021
sub_9:Test (Best Model) - Loss: 11.0109 - Accuracy: 0.3971 - F1: 0.3896
sub_9:Test (Best Model) - Loss: 6.8298 - Accuracy: 0.5294 - F1: 0.5568
sub_9:Test (Best Model) - Loss: 7.9242 - Accuracy: 0.5441 - F1: 0.5663
sub_9:Test (Best Model) - Loss: 14.4193 - Accuracy: 0.3235 - F1: 0.3432
sub_9:Test (Best Model) - Loss: 16.7851 - Accuracy: 0.3676 - F1: 0.3488
sub_9:Test (Best Model) - Loss: 13.5611 - Accuracy: 0.3382 - F1: 0.3510
sub_9:Test (Best Model) - Loss: 8.6338 - Accuracy: 0.3971 - F1: 0.3888
sub_9:Test (Best Model) - Loss: 13.2830 - Accuracy: 0.2500 - F1: 0.2633
sub_9:Test (Best Model) - Loss: 12.3911 - Accuracy: 0.3088 - F1: 0.3083
sub_9:Test (Best Model) - Loss: 9.4274 - Accuracy: 0.4265 - F1: 0.4396
sub_9:Test (Best Model) - Loss: 7.6030 - Accuracy: 0.4265 - F1: 0.4379
sub_9:Test (Best Model) - Loss: 9.9023 - Accuracy: 0.3824 - F1: 0.4012
sub_9:Test (Best Model) - Loss: 8.0926 - Accuracy: 0.3824 - F1: 0.4156
sub_10:Test (Best Model) - Loss: 9.5682 - Accuracy: 0.2941 - F1: 0.2755
sub_10:Test (Best Model) - Loss: 10.4227 - Accuracy: 0.2794 - F1: 0.2850
sub_10:Test (Best Model) - Loss: 9.8724 - Accuracy: 0.3235 - F1: 0.3081
sub_10:Test (Best Model) - Loss: 8.2275 - Accuracy: 0.3529 - F1: 0.3541
sub_10:Test (Best Model) - Loss: 8.8249 - Accuracy: 0.3971 - F1: 0.4247
sub_10:Test (Best Model) - Loss: 8.3637 - Accuracy: 0.2794 - F1: 0.2766
sub_10:Test (Best Model) - Loss: 11.3805 - Accuracy: 0.3088 - F1: 0.2850
sub_10:Test (Best Model) - Loss: 9.3284 - Accuracy: 0.2794 - F1: 0.2691
sub_10:Test (Best Model) - Loss: 8.9181 - Accuracy: 0.2206 - F1: 0.2169
sub_10:Test (Best Model) - Loss: 11.2142 - Accuracy: 0.2647 - F1: 0.2593
sub_10:Test (Best Model) - Loss: 11.5611 - Accuracy: 0.2754 - F1: 0.2680
sub_10:Test (Best Model) - Loss: 10.0313 - Accuracy: 0.3043 - F1: 0.2953
sub_10:Test (Best Model) - Loss: 10.5305 - Accuracy: 0.2609 - F1: 0.2671
sub_10:Test (Best Model) - Loss: 9.3479 - Accuracy: 0.2609 - F1: 0.2452
sub_10:Test (Best Model) - Loss: 8.5760 - Accuracy: 0.2464 - F1: 0.2161
sub_11:Test (Best Model) - Loss: 11.1528 - Accuracy: 0.3623 - F1: 0.2969
sub_11:Test (Best Model) - Loss: 10.9751 - Accuracy: 0.2754 - F1: 0.2526
sub_11:Test (Best Model) - Loss: 11.3035 - Accuracy: 0.3768 - F1: 0.3626
sub_11:Test (Best Model) - Loss: 13.7620 - Accuracy: 0.2464 - F1: 0.2342
sub_11:Test (Best Model) - Loss: 23.0191 - Accuracy: 0.2319 - F1: 0.2218
sub_11:Test (Best Model) - Loss: 11.5149 - Accuracy: 0.3188 - F1: 0.2879
sub_11:Test (Best Model) - Loss: 8.6725 - Accuracy: 0.4203 - F1: 0.3939
sub_11:Test (Best Model) - Loss: 6.5342 - Accuracy: 0.3913 - F1: 0.3724
sub_11:Test (Best Model) - Loss: 10.0080 - Accuracy: 0.4058 - F1: 0.3536
sub_11:Test (Best Model) - Loss: 10.9481 - Accuracy: 0.5072 - F1: 0.4302
sub_11:Test (Best Model) - Loss: 5.9372 - Accuracy: 0.3913 - F1: 0.3356
sub_11:Test (Best Model) - Loss: 5.2724 - Accuracy: 0.5362 - F1: 0.5105
sub_11:Test (Best Model) - Loss: 7.7709 - Accuracy: 0.3768 - F1: 0.3200
sub_11:Test (Best Model) - Loss: 11.6303 - Accuracy: 0.3913 - F1: 0.3069
sub_11:Test (Best Model) - Loss: 7.3477 - Accuracy: 0.4493 - F1: 0.3946
sub_12:Test (Best Model) - Loss: 5.3150 - Accuracy: 0.4706 - F1: 0.4984
sub_12:Test (Best Model) - Loss: 7.5053 - Accuracy: 0.3088 - F1: 0.3094
sub_12:Test (Best Model) - Loss: 8.9464 - Accuracy: 0.4118 - F1: 0.3418
sub_12:Test (Best Model) - Loss: 5.3912 - Accuracy: 0.4853 - F1: 0.4846
sub_12:Test (Best Model) - Loss: 6.3534 - Accuracy: 0.3971 - F1: 0.4022
sub_12:Test (Best Model) - Loss: 9.2170 - Accuracy: 0.4348 - F1: 0.4217
sub_12:Test (Best Model) - Loss: 8.4150 - Accuracy: 0.3043 - F1: 0.2856
sub_12:Test (Best Model) - Loss: 6.4549 - Accuracy: 0.4058 - F1: 0.3997
sub_12:Test (Best Model) - Loss: 9.8695 - Accuracy: 0.4783 - F1: 0.4410
sub_12:Test (Best Model) - Loss: 8.0513 - Accuracy: 0.4348 - F1: 0.4232
sub_12:Test (Best Model) - Loss: 8.4224 - Accuracy: 0.4118 - F1: 0.4173
sub_12:Test (Best Model) - Loss: 8.1276 - Accuracy: 0.3382 - F1: 0.3004
sub_12:Test (Best Model) - Loss: 10.4320 - Accuracy: 0.2941 - F1: 0.2780
sub_12:Test (Best Model) - Loss: 10.9209 - Accuracy: 0.3971 - F1: 0.4003
sub_12:Test (Best Model) - Loss: 9.2669 - Accuracy: 0.3529 - F1: 0.3192
sub_13:Test (Best Model) - Loss: 7.8212 - Accuracy: 0.5147 - F1: 0.5110
sub_13:Test (Best Model) - Loss: 12.1643 - Accuracy: 0.3676 - F1: 0.3661
sub_13:Test (Best Model) - Loss: 9.4375 - Accuracy: 0.3529 - F1: 0.3578
sub_13:Test (Best Model) - Loss: 10.3528 - Accuracy: 0.3382 - F1: 0.3631
sub_13:Test (Best Model) - Loss: 8.3934 - Accuracy: 0.4412 - F1: 0.4365
sub_13:Test (Best Model) - Loss: 11.0482 - Accuracy: 0.3623 - F1: 0.3621
sub_13:Test (Best Model) - Loss: 9.4224 - Accuracy: 0.4348 - F1: 0.4446
sub_13:Test (Best Model) - Loss: 11.2767 - Accuracy: 0.2609 - F1: 0.2489
sub_13:Test (Best Model) - Loss: 10.9006 - Accuracy: 0.4203 - F1: 0.4354
sub_13:Test (Best Model) - Loss: 10.4079 - Accuracy: 0.3333 - F1: 0.3372
sub_13:Test (Best Model) - Loss: 11.4349 - Accuracy: 0.3529 - F1: 0.3319
sub_13:Test (Best Model) - Loss: 7.8302 - Accuracy: 0.3676 - F1: 0.3971
sub_13:Test (Best Model) - Loss: 14.3877 - Accuracy: 0.3529 - F1: 0.3634
sub_13:Test (Best Model) - Loss: 10.6212 - Accuracy: 0.3088 - F1: 0.3314
sub_13:Test (Best Model) - Loss: 7.0142 - Accuracy: 0.3676 - F1: 0.3821
sub_14:Test (Best Model) - Loss: 8.3137 - Accuracy: 0.2353 - F1: 0.2491
sub_14:Test (Best Model) - Loss: 9.7590 - Accuracy: 0.2353 - F1: 0.2376
sub_14:Test (Best Model) - Loss: 8.2592 - Accuracy: 0.2941 - F1: 0.2810
sub_14:Test (Best Model) - Loss: 12.2693 - Accuracy: 0.3235 - F1: 0.3022
sub_14:Test (Best Model) - Loss: 11.9265 - Accuracy: 0.3088 - F1: 0.3100
sub_14:Test (Best Model) - Loss: 11.8900 - Accuracy: 0.2647 - F1: 0.2277
sub_14:Test (Best Model) - Loss: 10.6443 - Accuracy: 0.3824 - F1: 0.3559
sub_14:Test (Best Model) - Loss: 11.9549 - Accuracy: 0.4118 - F1: 0.4174
sub_14:Test (Best Model) - Loss: 11.3867 - Accuracy: 0.2941 - F1: 0.2495
sub_14:Test (Best Model) - Loss: 11.3425 - Accuracy: 0.2941 - F1: 0.2740
sub_14:Test (Best Model) - Loss: 11.3393 - Accuracy: 0.3676 - F1: 0.3680
sub_14:Test (Best Model) - Loss: 10.4529 - Accuracy: 0.3235 - F1: 0.3230
sub_14:Test (Best Model) - Loss: 9.5709 - Accuracy: 0.2500 - F1: 0.2420
sub_14:Test (Best Model) - Loss: 7.9407 - Accuracy: 0.3235 - F1: 0.3116
sub_14:Test (Best Model) - Loss: 8.0703 - Accuracy: 0.3824 - F1: 0.3962
sub_15:Test (Best Model) - Loss: 15.2156 - Accuracy: 0.3382 - F1: 0.3006
sub_15:Test (Best Model) - Loss: 11.2143 - Accuracy: 0.4265 - F1: 0.4367
sub_15:Test (Best Model) - Loss: 9.0893 - Accuracy: 0.4412 - F1: 0.4257
sub_15:Test (Best Model) - Loss: 10.1906 - Accuracy: 0.3824 - F1: 0.3926
sub_15:Test (Best Model) - Loss: 9.4271 - Accuracy: 0.3088 - F1: 0.3016
sub_15:Test (Best Model) - Loss: 7.4810 - Accuracy: 0.4559 - F1: 0.4562
sub_15:Test (Best Model) - Loss: 11.5832 - Accuracy: 0.4265 - F1: 0.4086
sub_15:Test (Best Model) - Loss: 9.2547 - Accuracy: 0.5000 - F1: 0.5158
sub_15:Test (Best Model) - Loss: 8.1798 - Accuracy: 0.5294 - F1: 0.5092
sub_15:Test (Best Model) - Loss: 8.3269 - Accuracy: 0.5000 - F1: 0.4877
sub_15:Test (Best Model) - Loss: 8.6058 - Accuracy: 0.4265 - F1: 0.4071
sub_15:Test (Best Model) - Loss: 10.7353 - Accuracy: 0.3235 - F1: 0.3265
sub_15:Test (Best Model) - Loss: 7.8321 - Accuracy: 0.4118 - F1: 0.3554
sub_15:Test (Best Model) - Loss: 11.4213 - Accuracy: 0.3529 - F1: 0.3523
sub_15:Test (Best Model) - Loss: 10.2656 - Accuracy: 0.2941 - F1: 0.2927
sub_16:Test (Best Model) - Loss: 6.4426 - Accuracy: 0.4559 - F1: 0.3969
sub_16:Test (Best Model) - Loss: 7.2465 - Accuracy: 0.4559 - F1: 0.4063
sub_16:Test (Best Model) - Loss: 6.7097 - Accuracy: 0.4412 - F1: 0.4381
sub_16:Test (Best Model) - Loss: 6.6512 - Accuracy: 0.3529 - F1: 0.3545
sub_16:Test (Best Model) - Loss: 5.6487 - Accuracy: 0.3529 - F1: 0.3487
sub_16:Test (Best Model) - Loss: 7.5290 - Accuracy: 0.4853 - F1: 0.4702
sub_16:Test (Best Model) - Loss: 9.3482 - Accuracy: 0.3382 - F1: 0.3356
sub_16:Test (Best Model) - Loss: 9.5163 - Accuracy: 0.3676 - F1: 0.3040
sub_16:Test (Best Model) - Loss: 7.2223 - Accuracy: 0.4853 - F1: 0.4823
sub_16:Test (Best Model) - Loss: 14.0672 - Accuracy: 0.3529 - F1: 0.3085
sub_16:Test (Best Model) - Loss: 7.8920 - Accuracy: 0.5000 - F1: 0.3648
sub_16:Test (Best Model) - Loss: 7.1219 - Accuracy: 0.4559 - F1: 0.4302
sub_16:Test (Best Model) - Loss: 5.3645 - Accuracy: 0.4706 - F1: 0.4197
sub_16:Test (Best Model) - Loss: 6.9923 - Accuracy: 0.3971 - F1: 0.3161
sub_16:Test (Best Model) - Loss: 5.2059 - Accuracy: 0.4706 - F1: 0.4589
sub_17:Test (Best Model) - Loss: 10.0891 - Accuracy: 0.2899 - F1: 0.2214
sub_17:Test (Best Model) - Loss: 5.8637 - Accuracy: 0.3768 - F1: 0.3724
sub_17:Test (Best Model) - Loss: 10.7700 - Accuracy: 0.3478 - F1: 0.2892
sub_17:Test (Best Model) - Loss: 8.3468 - Accuracy: 0.3043 - F1: 0.2936
sub_17:Test (Best Model) - Loss: 9.9290 - Accuracy: 0.2899 - F1: 0.2842
sub_17:Test (Best Model) - Loss: 15.1949 - Accuracy: 0.4203 - F1: 0.3623
sub_17:Test (Best Model) - Loss: 11.7049 - Accuracy: 0.3478 - F1: 0.3111
sub_17:Test (Best Model) - Loss: 10.8102 - Accuracy: 0.3333 - F1: 0.2858
sub_17:Test (Best Model) - Loss: 9.0892 - Accuracy: 0.3043 - F1: 0.2982
sub_17:Test (Best Model) - Loss: 12.9158 - Accuracy: 0.3188 - F1: 0.2948
sub_17:Test (Best Model) - Loss: 6.9551 - Accuracy: 0.4559 - F1: 0.4576
sub_17:Test (Best Model) - Loss: 8.9766 - Accuracy: 0.3676 - F1: 0.3591
sub_17:Test (Best Model) - Loss: 7.9122 - Accuracy: 0.4412 - F1: 0.4440
sub_17:Test (Best Model) - Loss: 9.0945 - Accuracy: 0.3088 - F1: 0.2939
sub_17:Test (Best Model) - Loss: 7.4491 - Accuracy: 0.4118 - F1: 0.4072
sub_18:Test (Best Model) - Loss: 5.4307 - Accuracy: 0.4348 - F1: 0.4422
sub_18:Test (Best Model) - Loss: 7.8962 - Accuracy: 0.3623 - F1: 0.3262
sub_18:Test (Best Model) - Loss: 7.0781 - Accuracy: 0.3043 - F1: 0.3152
sub_18:Test (Best Model) - Loss: 6.2110 - Accuracy: 0.4058 - F1: 0.3919
sub_18:Test (Best Model) - Loss: 6.5154 - Accuracy: 0.4203 - F1: 0.4083
sub_18:Test (Best Model) - Loss: 10.0909 - Accuracy: 0.2941 - F1: 0.2759
sub_18:Test (Best Model) - Loss: 8.2267 - Accuracy: 0.3382 - F1: 0.3453
sub_18:Test (Best Model) - Loss: 8.8046 - Accuracy: 0.3382 - F1: 0.3429
sub_18:Test (Best Model) - Loss: 9.9525 - Accuracy: 0.3382 - F1: 0.3351
sub_18:Test (Best Model) - Loss: 8.7117 - Accuracy: 0.4118 - F1: 0.4269
sub_18:Test (Best Model) - Loss: 7.8245 - Accuracy: 0.3529 - F1: 0.3597
sub_18:Test (Best Model) - Loss: 11.7704 - Accuracy: 0.2353 - F1: 0.2258
sub_18:Test (Best Model) - Loss: 10.3231 - Accuracy: 0.3088 - F1: 0.3129
sub_18:Test (Best Model) - Loss: 6.9306 - Accuracy: 0.3382 - F1: 0.3537
sub_18:Test (Best Model) - Loss: 7.8704 - Accuracy: 0.3382 - F1: 0.3768
sub_19:Test (Best Model) - Loss: 11.0328 - Accuracy: 0.1324 - F1: 0.1142
sub_19:Test (Best Model) - Loss: 10.6910 - Accuracy: 0.2059 - F1: 0.1584
sub_19:Test (Best Model) - Loss: 11.6153 - Accuracy: 0.2647 - F1: 0.2270
sub_19:Test (Best Model) - Loss: 8.9288 - Accuracy: 0.2794 - F1: 0.2553
sub_19:Test (Best Model) - Loss: 9.7702 - Accuracy: 0.3088 - F1: 0.2822
sub_19:Test (Best Model) - Loss: 8.6405 - Accuracy: 0.3235 - F1: 0.2885
sub_19:Test (Best Model) - Loss: 9.7182 - Accuracy: 0.4412 - F1: 0.3651
sub_19:Test (Best Model) - Loss: 14.9931 - Accuracy: 0.2500 - F1: 0.2315
sub_19:Test (Best Model) - Loss: 10.2841 - Accuracy: 0.4118 - F1: 0.3865
sub_19:Test (Best Model) - Loss: 11.0073 - Accuracy: 0.2500 - F1: 0.2260
sub_19:Test (Best Model) - Loss: 10.8584 - Accuracy: 0.3676 - F1: 0.3496
sub_19:Test (Best Model) - Loss: 16.0999 - Accuracy: 0.2500 - F1: 0.2356
sub_19:Test (Best Model) - Loss: 13.9493 - Accuracy: 0.3088 - F1: 0.2333
sub_19:Test (Best Model) - Loss: 14.6758 - Accuracy: 0.2353 - F1: 0.2407
sub_19:Test (Best Model) - Loss: 10.1308 - Accuracy: 0.2647 - F1: 0.2684
sub_20:Test (Best Model) - Loss: 5.8337 - Accuracy: 0.5000 - F1: 0.4867
sub_20:Test (Best Model) - Loss: 11.5663 - Accuracy: 0.3824 - F1: 0.3992
sub_20:Test (Best Model) - Loss: 9.7405 - Accuracy: 0.3824 - F1: 0.3807
sub_20:Test (Best Model) - Loss: 5.6169 - Accuracy: 0.4706 - F1: 0.4674
sub_20:Test (Best Model) - Loss: 8.6950 - Accuracy: 0.5000 - F1: 0.4839
sub_20:Test (Best Model) - Loss: 10.0382 - Accuracy: 0.3088 - F1: 0.3324
sub_20:Test (Best Model) - Loss: 8.3917 - Accuracy: 0.3676 - F1: 0.3598
sub_20:Test (Best Model) - Loss: 11.3212 - Accuracy: 0.3529 - F1: 0.3709
sub_20:Test (Best Model) - Loss: 14.0240 - Accuracy: 0.3529 - F1: 0.3396
sub_20:Test (Best Model) - Loss: 9.9846 - Accuracy: 0.4118 - F1: 0.4130
sub_20:Test (Best Model) - Loss: 8.8250 - Accuracy: 0.3913 - F1: 0.3863
sub_20:Test (Best Model) - Loss: 10.3746 - Accuracy: 0.3768 - F1: 0.3514
sub_20:Test (Best Model) - Loss: 9.6167 - Accuracy: 0.3913 - F1: 0.3775
sub_20:Test (Best Model) - Loss: 9.2874 - Accuracy: 0.4348 - F1: 0.4330
sub_20:Test (Best Model) - Loss: 8.3298 - Accuracy: 0.4058 - F1: 0.4109
sub_21:Test (Best Model) - Loss: 6.7332 - Accuracy: 0.4265 - F1: 0.4118
sub_21:Test (Best Model) - Loss: 12.4570 - Accuracy: 0.4118 - F1: 0.3985
sub_21:Test (Best Model) - Loss: 10.3758 - Accuracy: 0.4706 - F1: 0.4273
sub_21:Test (Best Model) - Loss: 6.8536 - Accuracy: 0.4412 - F1: 0.4103
sub_21:Test (Best Model) - Loss: 10.8292 - Accuracy: 0.3971 - F1: 0.3432
sub_21:Test (Best Model) - Loss: 6.4229 - Accuracy: 0.4559 - F1: 0.3670
sub_21:Test (Best Model) - Loss: 10.5816 - Accuracy: 0.4853 - F1: 0.3962
sub_21:Test (Best Model) - Loss: 5.7789 - Accuracy: 0.3676 - F1: 0.3391
sub_21:Test (Best Model) - Loss: 11.1054 - Accuracy: 0.3971 - F1: 0.3678
sub_21:Test (Best Model) - Loss: 6.6172 - Accuracy: 0.4118 - F1: 0.3796
sub_21:Test (Best Model) - Loss: 8.5413 - Accuracy: 0.3235 - F1: 0.2920
sub_21:Test (Best Model) - Loss: 9.4235 - Accuracy: 0.2941 - F1: 0.2563
sub_21:Test (Best Model) - Loss: 7.5177 - Accuracy: 0.4118 - F1: 0.3569
sub_21:Test (Best Model) - Loss: 8.0827 - Accuracy: 0.4412 - F1: 0.4136
sub_21:Test (Best Model) - Loss: 7.4778 - Accuracy: 0.3529 - F1: 0.3141
sub_22:Test (Best Model) - Loss: 10.2556 - Accuracy: 0.3235 - F1: 0.3253
sub_22:Test (Best Model) - Loss: 9.5644 - Accuracy: 0.3088 - F1: 0.3152
sub_22:Test (Best Model) - Loss: 10.9920 - Accuracy: 0.3235 - F1: 0.3171
sub_22:Test (Best Model) - Loss: 6.9222 - Accuracy: 0.3971 - F1: 0.3878
sub_22:Test (Best Model) - Loss: 9.8206 - Accuracy: 0.3676 - F1: 0.3904
sub_22:Test (Best Model) - Loss: 9.4109 - Accuracy: 0.2609 - F1: 0.1890
sub_22:Test (Best Model) - Loss: 6.7501 - Accuracy: 0.3478 - F1: 0.3228
sub_22:Test (Best Model) - Loss: 6.4778 - Accuracy: 0.4493 - F1: 0.4309
sub_22:Test (Best Model) - Loss: 9.7003 - Accuracy: 0.2319 - F1: 0.1866
sub_22:Test (Best Model) - Loss: 6.3376 - Accuracy: 0.3043 - F1: 0.3160
sub_22:Test (Best Model) - Loss: 5.9822 - Accuracy: 0.3824 - F1: 0.3894
sub_22:Test (Best Model) - Loss: 6.7398 - Accuracy: 0.3088 - F1: 0.3084
sub_22:Test (Best Model) - Loss: 9.2931 - Accuracy: 0.3088 - F1: 0.2795
sub_22:Test (Best Model) - Loss: 7.5073 - Accuracy: 0.3382 - F1: 0.3594
sub_22:Test (Best Model) - Loss: 6.6240 - Accuracy: 0.3235 - F1: 0.3409
sub_23:Test (Best Model) - Loss: 9.6773 - Accuracy: 0.3043 - F1: 0.3087
sub_23:Test (Best Model) - Loss: 8.7262 - Accuracy: 0.4638 - F1: 0.4643
sub_23:Test (Best Model) - Loss: 8.8480 - Accuracy: 0.4928 - F1: 0.4971
sub_23:Test (Best Model) - Loss: 4.9587 - Accuracy: 0.5942 - F1: 0.5977
sub_23:Test (Best Model) - Loss: 8.2221 - Accuracy: 0.3913 - F1: 0.4156
sub_23:Test (Best Model) - Loss: 6.2944 - Accuracy: 0.4853 - F1: 0.4629
sub_23:Test (Best Model) - Loss: 7.5288 - Accuracy: 0.4265 - F1: 0.3961
sub_23:Test (Best Model) - Loss: 5.0628 - Accuracy: 0.4265 - F1: 0.3906
sub_23:Test (Best Model) - Loss: 5.7856 - Accuracy: 0.3971 - F1: 0.4042
sub_23:Test (Best Model) - Loss: 5.5462 - Accuracy: 0.4118 - F1: 0.3836
sub_23:Test (Best Model) - Loss: 18.6182 - Accuracy: 0.3333 - F1: 0.3046
sub_23:Test (Best Model) - Loss: 18.2807 - Accuracy: 0.3333 - F1: 0.2786
sub_23:Test (Best Model) - Loss: 19.3310 - Accuracy: 0.3043 - F1: 0.2451
sub_23:Test (Best Model) - Loss: 15.5041 - Accuracy: 0.3188 - F1: 0.2883
sub_23:Test (Best Model) - Loss: 11.4725 - Accuracy: 0.3623 - F1: 0.3671
sub_24:Test (Best Model) - Loss: 11.7214 - Accuracy: 0.2353 - F1: 0.1752
sub_24:Test (Best Model) - Loss: 8.7105 - Accuracy: 0.3088 - F1: 0.2921
sub_24:Test (Best Model) - Loss: 7.4693 - Accuracy: 0.3382 - F1: 0.3347
sub_24:Test (Best Model) - Loss: 9.6701 - Accuracy: 0.2794 - F1: 0.2676
sub_24:Test (Best Model) - Loss: 5.2877 - Accuracy: 0.3235 - F1: 0.3171
sub_24:Test (Best Model) - Loss: 6.5256 - Accuracy: 0.2206 - F1: 0.2203
sub_24:Test (Best Model) - Loss: 5.6362 - Accuracy: 0.3235 - F1: 0.2992
sub_24:Test (Best Model) - Loss: 5.2142 - Accuracy: 0.3676 - F1: 0.3387
sub_24:Test (Best Model) - Loss: 3.9542 - Accuracy: 0.4559 - F1: 0.4420
sub_24:Test (Best Model) - Loss: 6.7887 - Accuracy: 0.3971 - F1: 0.3884
sub_24:Test (Best Model) - Loss: 7.2988 - Accuracy: 0.2500 - F1: 0.2501
sub_24:Test (Best Model) - Loss: 6.4015 - Accuracy: 0.3088 - F1: 0.2958
sub_24:Test (Best Model) - Loss: 9.4508 - Accuracy: 0.2500 - F1: 0.2293
sub_24:Test (Best Model) - Loss: 7.9153 - Accuracy: 0.3382 - F1: 0.3273
sub_24:Test (Best Model) - Loss: 9.6992 - Accuracy: 0.3235 - F1: 0.3080
sub_25:Test (Best Model) - Loss: 8.9586 - Accuracy: 0.3768 - F1: 0.2867
sub_25:Test (Best Model) - Loss: 9.1123 - Accuracy: 0.3913 - F1: 0.3766
sub_25:Test (Best Model) - Loss: 8.2932 - Accuracy: 0.4203 - F1: 0.4103
sub_25:Test (Best Model) - Loss: 7.0761 - Accuracy: 0.4203 - F1: 0.3963
sub_25:Test (Best Model) - Loss: 8.8844 - Accuracy: 0.3623 - F1: 0.3508
sub_25:Test (Best Model) - Loss: 8.4560 - Accuracy: 0.3971 - F1: 0.3754
sub_25:Test (Best Model) - Loss: 17.1404 - Accuracy: 0.4853 - F1: 0.4475
sub_25:Test (Best Model) - Loss: 13.4977 - Accuracy: 0.3529 - F1: 0.3037
sub_25:Test (Best Model) - Loss: 9.8338 - Accuracy: 0.4265 - F1: 0.3479
sub_25:Test (Best Model) - Loss: 5.4654 - Accuracy: 0.4412 - F1: 0.4110
sub_25:Test (Best Model) - Loss: 8.9103 - Accuracy: 0.3676 - F1: 0.3548
sub_25:Test (Best Model) - Loss: 10.3411 - Accuracy: 0.4559 - F1: 0.4134
sub_25:Test (Best Model) - Loss: 5.9559 - Accuracy: 0.5441 - F1: 0.5484
sub_25:Test (Best Model) - Loss: 9.0135 - Accuracy: 0.3824 - F1: 0.3508
sub_25:Test (Best Model) - Loss: 8.1298 - Accuracy: 0.4118 - F1: 0.3601
sub_26:Test (Best Model) - Loss: 4.5908 - Accuracy: 0.5072 - F1: 0.5152
sub_26:Test (Best Model) - Loss: 7.9210 - Accuracy: 0.3623 - F1: 0.3630
sub_26:Test (Best Model) - Loss: 6.1869 - Accuracy: 0.4783 - F1: 0.4891
sub_26:Test (Best Model) - Loss: 4.8525 - Accuracy: 0.4348 - F1: 0.4404
sub_26:Test (Best Model) - Loss: 7.1603 - Accuracy: 0.4783 - F1: 0.4691
sub_26:Test (Best Model) - Loss: 9.0784 - Accuracy: 0.3088 - F1: 0.3169
sub_26:Test (Best Model) - Loss: 9.0485 - Accuracy: 0.3235 - F1: 0.3281
sub_26:Test (Best Model) - Loss: 10.3181 - Accuracy: 0.2941 - F1: 0.3002
sub_26:Test (Best Model) - Loss: 7.4315 - Accuracy: 0.4706 - F1: 0.4395
sub_26:Test (Best Model) - Loss: 10.6340 - Accuracy: 0.3824 - F1: 0.3557
sub_26:Test (Best Model) - Loss: 7.9658 - Accuracy: 0.3529 - F1: 0.3659
sub_26:Test (Best Model) - Loss: 7.1438 - Accuracy: 0.4118 - F1: 0.4320
sub_26:Test (Best Model) - Loss: 7.5698 - Accuracy: 0.4559 - F1: 0.4354
sub_26:Test (Best Model) - Loss: 6.8409 - Accuracy: 0.5147 - F1: 0.5200
sub_26:Test (Best Model) - Loss: 7.1484 - Accuracy: 0.4853 - F1: 0.4816
sub_27:Test (Best Model) - Loss: 10.0891 - Accuracy: 0.2899 - F1: 0.2214
sub_27:Test (Best Model) - Loss: 5.8637 - Accuracy: 0.3768 - F1: 0.3724
sub_27:Test (Best Model) - Loss: 10.7700 - Accuracy: 0.3478 - F1: 0.2892
sub_27:Test (Best Model) - Loss: 8.3468 - Accuracy: 0.3043 - F1: 0.2936
sub_27:Test (Best Model) - Loss: 9.9290 - Accuracy: 0.2899 - F1: 0.2842
sub_27:Test (Best Model) - Loss: 15.1949 - Accuracy: 0.4203 - F1: 0.3623
sub_27:Test (Best Model) - Loss: 11.7049 - Accuracy: 0.3478 - F1: 0.3111
sub_27:Test (Best Model) - Loss: 10.8102 - Accuracy: 0.3333 - F1: 0.2858
sub_27:Test (Best Model) - Loss: 9.0892 - Accuracy: 0.3043 - F1: 0.2982
sub_27:Test (Best Model) - Loss: 12.9158 - Accuracy: 0.3188 - F1: 0.2948
sub_27:Test (Best Model) - Loss: 6.9551 - Accuracy: 0.4559 - F1: 0.4576
sub_27:Test (Best Model) - Loss: 8.9766 - Accuracy: 0.3676 - F1: 0.3591
sub_27:Test (Best Model) - Loss: 7.9122 - Accuracy: 0.4412 - F1: 0.4440
sub_27:Test (Best Model) - Loss: 9.0945 - Accuracy: 0.3088 - F1: 0.2939
sub_27:Test (Best Model) - Loss: 7.4491 - Accuracy: 0.4118 - F1: 0.4072
sub_28:Test (Best Model) - Loss: 9.3751 - Accuracy: 0.4118 - F1: 0.4067
sub_28:Test (Best Model) - Loss: 15.8223 - Accuracy: 0.3088 - F1: 0.2824
sub_28:Test (Best Model) - Loss: 12.9545 - Accuracy: 0.2647 - F1: 0.2544
sub_28:Test (Best Model) - Loss: 8.7676 - Accuracy: 0.3088 - F1: 0.2940
sub_28:Test (Best Model) - Loss: 14.0552 - Accuracy: 0.2941 - F1: 0.2961
sub_28:Test (Best Model) - Loss: 18.5154 - Accuracy: 0.2206 - F1: 0.2220
sub_28:Test (Best Model) - Loss: 19.5866 - Accuracy: 0.2647 - F1: 0.2635
sub_28:Test (Best Model) - Loss: 19.2569 - Accuracy: 0.2206 - F1: 0.2242
sub_28:Test (Best Model) - Loss: 24.5199 - Accuracy: 0.3088 - F1: 0.2950
sub_28:Test (Best Model) - Loss: 18.1218 - Accuracy: 0.2941 - F1: 0.2663
sub_28:Test (Best Model) - Loss: 5.8119 - Accuracy: 0.3971 - F1: 0.3866
sub_28:Test (Best Model) - Loss: 6.2218 - Accuracy: 0.3235 - F1: 0.3124
sub_28:Test (Best Model) - Loss: 6.3654 - Accuracy: 0.3235 - F1: 0.3000
sub_28:Test (Best Model) - Loss: 7.7065 - Accuracy: 0.3235 - F1: 0.3226
sub_28:Test (Best Model) - Loss: 6.0592 - Accuracy: 0.3676 - F1: 0.3496
sub_29:Test (Best Model) - Loss: 9.5355 - Accuracy: 0.4706 - F1: 0.4771
sub_29:Test (Best Model) - Loss: 13.6679 - Accuracy: 0.4559 - F1: 0.4666
sub_29:Test (Best Model) - Loss: 10.1030 - Accuracy: 0.4412 - F1: 0.4484
sub_29:Test (Best Model) - Loss: 8.5963 - Accuracy: 0.5147 - F1: 0.5327
sub_29:Test (Best Model) - Loss: 6.7810 - Accuracy: 0.5735 - F1: 0.5803
sub_29:Test (Best Model) - Loss: 7.0861 - Accuracy: 0.5000 - F1: 0.5263
sub_29:Test (Best Model) - Loss: 5.3920 - Accuracy: 0.4706 - F1: 0.4428
sub_29:Test (Best Model) - Loss: 6.6677 - Accuracy: 0.5000 - F1: 0.4852
sub_29:Test (Best Model) - Loss: 7.1159 - Accuracy: 0.5735 - F1: 0.5797
sub_29:Test (Best Model) - Loss: 5.2175 - Accuracy: 0.5294 - F1: 0.5446
sub_29:Test (Best Model) - Loss: 7.2107 - Accuracy: 0.5797 - F1: 0.5729
sub_29:Test (Best Model) - Loss: 7.3935 - Accuracy: 0.4783 - F1: 0.4983
sub_29:Test (Best Model) - Loss: 8.3945 - Accuracy: 0.4348 - F1: 0.4546
sub_29:Test (Best Model) - Loss: 5.7889 - Accuracy: 0.5652 - F1: 0.5813
sub_29:Test (Best Model) - Loss: 7.0778 - Accuracy: 0.6232 - F1: 0.6323

=== Summary Results ===

acc: 37.12 ± 5.48
F1: 35.76 ± 5.78
acc-in: 46.88 ± 5.54
F1-in: 44.78 ± 5.70
