lr: 1e-05
sub_3:Test (Best Model) - Loss: 1.3342 - Accuracy: 0.4118 - F1: 0.2886
sub_1:Test (Best Model) - Loss: 1.8031 - Accuracy: 0.5588 - F1: 0.4638
sub_2:Test (Best Model) - Loss: 1.4316 - Accuracy: 0.4058 - F1: 0.3577
sub_3:Test (Best Model) - Loss: 1.2979 - Accuracy: 0.4559 - F1: 0.3084
sub_2:Test (Best Model) - Loss: 1.3804 - Accuracy: 0.2174 - F1: 0.0904
sub_3:Test (Best Model) - Loss: 1.3391 - Accuracy: 0.4412 - F1: 0.3014
sub_1:Test (Best Model) - Loss: 2.5956 - Accuracy: 0.5735 - F1: 0.5129
sub_2:Test (Best Model) - Loss: 1.4044 - Accuracy: 0.3043 - F1: 0.2368
sub_3:Test (Best Model) - Loss: 1.5562 - Accuracy: 0.3971 - F1: 0.2786
sub_2:Test (Best Model) - Loss: 1.4411 - Accuracy: 0.4203 - F1: 0.3700
sub_1:Test (Best Model) - Loss: 2.6501 - Accuracy: 0.5000 - F1: 0.4202
sub_3:Test (Best Model) - Loss: 1.8697 - Accuracy: 0.4412 - F1: 0.3054
sub_1:Test (Best Model) - Loss: 2.3909 - Accuracy: 0.4559 - F1: 0.3257
sub_3:Test (Best Model) - Loss: 1.2916 - Accuracy: 0.3913 - F1: 0.2978
sub_2:Test (Best Model) - Loss: 1.4068 - Accuracy: 0.5507 - F1: 0.5451
sub_2:Test (Best Model) - Loss: 1.3061 - Accuracy: 0.4706 - F1: 0.4249
sub_1:Test (Best Model) - Loss: 2.7381 - Accuracy: 0.5441 - F1: 0.4620
sub_3:Test (Best Model) - Loss: 1.2107 - Accuracy: 0.3623 - F1: 0.2929
sub_2:Test (Best Model) - Loss: 1.3065 - Accuracy: 0.3971 - F1: 0.3035
sub_1:Test (Best Model) - Loss: 1.4391 - Accuracy: 0.4493 - F1: 0.4088
sub_2:Test (Best Model) - Loss: 1.3175 - Accuracy: 0.2059 - F1: 0.0854
sub_3:Test (Best Model) - Loss: 1.1949 - Accuracy: 0.2899 - F1: 0.2156
sub_2:Test (Best Model) - Loss: 1.3656 - Accuracy: 0.3382 - F1: 0.2644
sub_1:Test (Best Model) - Loss: 1.4171 - Accuracy: 0.3913 - F1: 0.3058
sub_3:Test (Best Model) - Loss: 1.4358 - Accuracy: 0.3333 - F1: 0.2553
sub_2:Test (Best Model) - Loss: 1.3846 - Accuracy: 0.3382 - F1: 0.2403
sub_1:Test (Best Model) - Loss: 1.3699 - Accuracy: 0.2754 - F1: 0.1827
sub_2:Test (Best Model) - Loss: 1.4879 - Accuracy: 0.2174 - F1: 0.0893
sub_3:Test (Best Model) - Loss: 2.1806 - Accuracy: 0.5507 - F1: 0.4904
sub_3:Test (Best Model) - Loss: 1.3220 - Accuracy: 0.2464 - F1: 0.1392
sub_2:Test (Best Model) - Loss: 1.3502 - Accuracy: 0.2319 - F1: 0.1176
sub_1:Test (Best Model) - Loss: 2.8440 - Accuracy: 0.4058 - F1: 0.3478
sub_2:Test (Best Model) - Loss: 1.3323 - Accuracy: 0.3333 - F1: 0.2996
sub_2:Test (Best Model) - Loss: 1.4386 - Accuracy: 0.1739 - F1: 0.0750
sub_3:Test (Best Model) - Loss: 1.0074 - Accuracy: 0.4783 - F1: 0.3794
sub_1:Test (Best Model) - Loss: 2.1186 - Accuracy: 0.4058 - F1: 0.3478
sub_2:Test (Best Model) - Loss: 1.4385 - Accuracy: 0.2609 - F1: 0.1844
sub_1:Test (Best Model) - Loss: 1.3084 - Accuracy: 0.3235 - F1: 0.2384
sub_3:Test (Best Model) - Loss: 1.0878 - Accuracy: 0.5652 - F1: 0.4829
sub_1:Test (Best Model) - Loss: 1.1684 - Accuracy: 0.5735 - F1: 0.5185
sub_3:Test (Best Model) - Loss: 0.9422 - Accuracy: 0.5362 - F1: 0.4295
sub_1:Test (Best Model) - Loss: 1.2018 - Accuracy: 0.6471 - F1: 0.5925
sub_3:Test (Best Model) - Loss: 1.1738 - Accuracy: 0.4783 - F1: 0.3460
sub_1:Test (Best Model) - Loss: 1.2941 - Accuracy: 0.3382 - F1: 0.2579
sub_1:Test (Best Model) - Loss: 1.3760 - Accuracy: 0.3676 - F1: 0.2882
sub_6:Test (Best Model) - Loss: 1.2804 - Accuracy: 0.4853 - F1: 0.4283
sub_5:Test (Best Model) - Loss: 1.6161 - Accuracy: 0.4559 - F1: 0.3589
sub_4:Test (Best Model) - Loss: 1.2348 - Accuracy: 0.6522 - F1: 0.6432
sub_5:Test (Best Model) - Loss: 1.7974 - Accuracy: 0.4706 - F1: 0.3562
sub_6:Test (Best Model) - Loss: 1.2849 - Accuracy: 0.4559 - F1: 0.3919
sub_4:Test (Best Model) - Loss: 1.0679 - Accuracy: 0.6232 - F1: 0.5513
sub_5:Test (Best Model) - Loss: 1.8694 - Accuracy: 0.5294 - F1: 0.4503
sub_6:Test (Best Model) - Loss: 1.2754 - Accuracy: 0.4559 - F1: 0.4048
sub_5:Test (Best Model) - Loss: 1.9730 - Accuracy: 0.4706 - F1: 0.3768
sub_4:Test (Best Model) - Loss: 1.2436 - Accuracy: 0.6232 - F1: 0.5624
sub_6:Test (Best Model) - Loss: 1.3233 - Accuracy: 0.4412 - F1: 0.3751
sub_4:Test (Best Model) - Loss: 1.2537 - Accuracy: 0.6377 - F1: 0.5649
sub_6:Test (Best Model) - Loss: 1.2457 - Accuracy: 0.5147 - F1: 0.4432
sub_5:Test (Best Model) - Loss: 5.7759 - Accuracy: 0.6029 - F1: 0.5551
sub_4:Test (Best Model) - Loss: 1.1904 - Accuracy: 0.5507 - F1: 0.5680
sub_6:Test (Best Model) - Loss: 1.3107 - Accuracy: 0.5362 - F1: 0.4747
sub_5:Test (Best Model) - Loss: 1.1860 - Accuracy: 0.5735 - F1: 0.4893
sub_4:Test (Best Model) - Loss: 1.0109 - Accuracy: 0.6087 - F1: 0.5519
sub_6:Test (Best Model) - Loss: 1.3212 - Accuracy: 0.4493 - F1: 0.4316
sub_5:Test (Best Model) - Loss: 1.2261 - Accuracy: 0.4265 - F1: 0.3234
sub_5:Test (Best Model) - Loss: 1.2109 - Accuracy: 0.4559 - F1: 0.3608
sub_6:Test (Best Model) - Loss: 1.3543 - Accuracy: 0.4783 - F1: 0.4061
sub_4:Test (Best Model) - Loss: 1.0342 - Accuracy: 0.6957 - F1: 0.6352
sub_5:Test (Best Model) - Loss: 1.1255 - Accuracy: 0.4853 - F1: 0.3665
sub_6:Test (Best Model) - Loss: 1.2999 - Accuracy: 0.4638 - F1: 0.4654
sub_5:Test (Best Model) - Loss: 1.1935 - Accuracy: 0.5294 - F1: 0.4315
sub_4:Test (Best Model) - Loss: 1.0522 - Accuracy: 0.6522 - F1: 0.6318
sub_6:Test (Best Model) - Loss: 1.2704 - Accuracy: 0.5507 - F1: 0.4646
sub_5:Test (Best Model) - Loss: 1.2352 - Accuracy: 0.4706 - F1: 0.3343
sub_4:Test (Best Model) - Loss: 0.9430 - Accuracy: 0.7536 - F1: 0.7358
sub_6:Test (Best Model) - Loss: 1.1544 - Accuracy: 0.5652 - F1: 0.4927
sub_5:Test (Best Model) - Loss: 1.1196 - Accuracy: 0.4853 - F1: 0.3872
sub_4:Test (Best Model) - Loss: 1.2101 - Accuracy: 0.6957 - F1: 0.6299
sub_6:Test (Best Model) - Loss: 1.2812 - Accuracy: 0.6087 - F1: 0.5500
sub_5:Test (Best Model) - Loss: 1.2207 - Accuracy: 0.5000 - F1: 0.3863
sub_5:Test (Best Model) - Loss: 1.2622 - Accuracy: 0.4559 - F1: 0.3091
sub_6:Test (Best Model) - Loss: 1.1248 - Accuracy: 0.6522 - F1: 0.5897
sub_4:Test (Best Model) - Loss: 0.9118 - Accuracy: 0.6667 - F1: 0.5923
sub_5:Test (Best Model) - Loss: 1.2223 - Accuracy: 0.6176 - F1: 0.5338
sub_6:Test (Best Model) - Loss: 1.3295 - Accuracy: 0.4203 - F1: 0.3703
sub_4:Test (Best Model) - Loss: 1.1473 - Accuracy: 0.6377 - F1: 0.5707
sub_6:Test (Best Model) - Loss: 1.2366 - Accuracy: 0.4348 - F1: 0.3722
sub_4:Test (Best Model) - Loss: 1.0767 - Accuracy: 0.6522 - F1: 0.5778
sub_4:Test (Best Model) - Loss: 1.0900 - Accuracy: 0.5942 - F1: 0.5375
sub_4:Test (Best Model) - Loss: 1.0212 - Accuracy: 0.6667 - F1: 0.5954
sub_7:Test (Best Model) - Loss: 1.1853 - Accuracy: 0.4706 - F1: 0.3207
sub_8:Test (Best Model) - Loss: 1.2130 - Accuracy: 0.6471 - F1: 0.5767
sub_9:Test (Best Model) - Loss: 1.2920 - Accuracy: 0.4559 - F1: 0.3330
sub_7:Test (Best Model) - Loss: 1.2971 - Accuracy: 0.4706 - F1: 0.3188
sub_9:Test (Best Model) - Loss: 1.2416 - Accuracy: 0.4265 - F1: 0.3528
sub_8:Test (Best Model) - Loss: 1.1883 - Accuracy: 0.5882 - F1: 0.5093
sub_7:Test (Best Model) - Loss: 1.1428 - Accuracy: 0.4559 - F1: 0.3127
sub_7:Test (Best Model) - Loss: 1.2718 - Accuracy: 0.4412 - F1: 0.3073
sub_8:Test (Best Model) - Loss: 1.2310 - Accuracy: 0.6176 - F1: 0.5368
sub_9:Test (Best Model) - Loss: 1.2548 - Accuracy: 0.5000 - F1: 0.4436
sub_7:Test (Best Model) - Loss: 1.2010 - Accuracy: 0.4118 - F1: 0.3489
sub_9:Test (Best Model) - Loss: 1.3226 - Accuracy: 0.4265 - F1: 0.3188
sub_8:Test (Best Model) - Loss: 1.2248 - Accuracy: 0.6471 - F1: 0.5668
sub_7:Test (Best Model) - Loss: 1.2647 - Accuracy: 0.3676 - F1: 0.3019
sub_9:Test (Best Model) - Loss: 1.3011 - Accuracy: 0.4412 - F1: 0.3569
sub_8:Test (Best Model) - Loss: 1.1019 - Accuracy: 0.6471 - F1: 0.5572
sub_9:Test (Best Model) - Loss: 1.3057 - Accuracy: 0.4118 - F1: 0.2788
sub_8:Test (Best Model) - Loss: 1.1073 - Accuracy: 0.6176 - F1: 0.5482
sub_7:Test (Best Model) - Loss: 1.2177 - Accuracy: 0.4412 - F1: 0.3925
sub_9:Test (Best Model) - Loss: 1.2851 - Accuracy: 0.4118 - F1: 0.2834
sub_8:Test (Best Model) - Loss: 1.2316 - Accuracy: 0.6029 - F1: 0.5831
sub_7:Test (Best Model) - Loss: 1.2630 - Accuracy: 0.4265 - F1: 0.3561
sub_9:Test (Best Model) - Loss: 1.2720 - Accuracy: 0.4412 - F1: 0.3624
sub_8:Test (Best Model) - Loss: 1.2612 - Accuracy: 0.5882 - F1: 0.5178
sub_7:Test (Best Model) - Loss: 1.1546 - Accuracy: 0.5294 - F1: 0.4782
sub_9:Test (Best Model) - Loss: 1.3024 - Accuracy: 0.4265 - F1: 0.2900
sub_7:Test (Best Model) - Loss: 1.2910 - Accuracy: 0.5294 - F1: 0.4481
sub_8:Test (Best Model) - Loss: 1.1885 - Accuracy: 0.5735 - F1: 0.5035
sub_9:Test (Best Model) - Loss: 1.3867 - Accuracy: 0.4118 - F1: 0.3232
sub_7:Test (Best Model) - Loss: 1.3585 - Accuracy: 0.2353 - F1: 0.1374
sub_9:Test (Best Model) - Loss: 1.3687 - Accuracy: 0.2206 - F1: 0.1138
sub_8:Test (Best Model) - Loss: 1.1566 - Accuracy: 0.6324 - F1: 0.5468
sub_9:Test (Best Model) - Loss: 1.3413 - Accuracy: 0.4118 - F1: 0.2850
sub_7:Test (Best Model) - Loss: 1.5371 - Accuracy: 0.4265 - F1: 0.3559
sub_8:Test (Best Model) - Loss: 1.4338 - Accuracy: 0.5735 - F1: 0.5259
sub_9:Test (Best Model) - Loss: 1.3436 - Accuracy: 0.2794 - F1: 0.2621
sub_7:Test (Best Model) - Loss: 1.3612 - Accuracy: 0.5882 - F1: 0.5937
sub_9:Test (Best Model) - Loss: 1.3750 - Accuracy: 0.1618 - F1: 0.0696
sub_8:Test (Best Model) - Loss: 1.2757 - Accuracy: 0.3676 - F1: 0.3986
sub_9:Test (Best Model) - Loss: 1.3684 - Accuracy: 0.3235 - F1: 0.2127
sub_7:Test (Best Model) - Loss: 1.2950 - Accuracy: 0.4265 - F1: 0.3534
sub_8:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.5147 - F1: 0.4610
sub_8:Test (Best Model) - Loss: 1.3975 - Accuracy: 0.2206 - F1: 0.1431
sub_7:Test (Best Model) - Loss: 1.2817 - Accuracy: 0.5588 - F1: 0.5012
sub_8:Test (Best Model) - Loss: 1.1554 - Accuracy: 0.5147 - F1: 0.4646
sub_12:Test (Best Model) - Loss: 1.2836 - Accuracy: 0.2059 - F1: 0.0864
sub_10:Test (Best Model) - Loss: 1.4162 - Accuracy: 0.4118 - F1: 0.3274
sub_11:Test (Best Model) - Loss: 1.2642 - Accuracy: 0.3623 - F1: 0.2832
sub_12:Test (Best Model) - Loss: 1.2720 - Accuracy: 0.2206 - F1: 0.1127
sub_12:Test (Best Model) - Loss: 1.2933 - Accuracy: 0.2059 - F1: 0.0875
sub_10:Test (Best Model) - Loss: 1.3496 - Accuracy: 0.4706 - F1: 0.4673
sub_11:Test (Best Model) - Loss: 1.0852 - Accuracy: 0.5217 - F1: 0.5034
sub_12:Test (Best Model) - Loss: 1.3184 - Accuracy: 0.2206 - F1: 0.1125
sub_12:Test (Best Model) - Loss: 1.2408 - Accuracy: 0.4118 - F1: 0.3111
sub_10:Test (Best Model) - Loss: 1.3832 - Accuracy: 0.3676 - F1: 0.3338
sub_12:Test (Best Model) - Loss: 1.3898 - Accuracy: 0.2754 - F1: 0.1950
sub_11:Test (Best Model) - Loss: 1.3061 - Accuracy: 0.4928 - F1: 0.4374
sub_10:Test (Best Model) - Loss: 1.4090 - Accuracy: 0.3088 - F1: 0.2320
sub_12:Test (Best Model) - Loss: 1.3643 - Accuracy: 0.2319 - F1: 0.1321
sub_12:Test (Best Model) - Loss: 1.3793 - Accuracy: 0.2609 - F1: 0.1619
sub_10:Test (Best Model) - Loss: 1.4137 - Accuracy: 0.4706 - F1: 0.4294
sub_11:Test (Best Model) - Loss: 1.5792 - Accuracy: 0.4058 - F1: 0.3304
sub_12:Test (Best Model) - Loss: 1.3597 - Accuracy: 0.2174 - F1: 0.0904
sub_11:Test (Best Model) - Loss: 1.1774 - Accuracy: 0.5507 - F1: 0.5290
sub_10:Test (Best Model) - Loss: 2.9046 - Accuracy: 0.4412 - F1: 0.3104
sub_12:Test (Best Model) - Loss: 1.3307 - Accuracy: 0.2029 - F1: 0.1592
sub_10:Test (Best Model) - Loss: 1.5315 - Accuracy: 0.3382 - F1: 0.2316
sub_12:Test (Best Model) - Loss: 1.4180 - Accuracy: 0.2059 - F1: 0.0854
sub_11:Test (Best Model) - Loss: 1.3871 - Accuracy: 0.5652 - F1: 0.5037
sub_10:Test (Best Model) - Loss: 1.5353 - Accuracy: 0.4559 - F1: 0.3581
sub_11:Test (Best Model) - Loss: 1.5392 - Accuracy: 0.4928 - F1: 0.4233
sub_12:Test (Best Model) - Loss: 1.2242 - Accuracy: 0.2206 - F1: 0.1138
sub_10:Test (Best Model) - Loss: 1.5175 - Accuracy: 0.3088 - F1: 0.2224
sub_11:Test (Best Model) - Loss: 1.3514 - Accuracy: 0.5072 - F1: 0.4553
sub_12:Test (Best Model) - Loss: 1.2809 - Accuracy: 0.4265 - F1: 0.3766
sub_10:Test (Best Model) - Loss: 2.4704 - Accuracy: 0.3382 - F1: 0.2291
sub_12:Test (Best Model) - Loss: 1.3096 - Accuracy: 0.2353 - F1: 0.1399
sub_10:Test (Best Model) - Loss: 1.3924 - Accuracy: 0.2319 - F1: 0.1201
sub_11:Test (Best Model) - Loss: 1.6704 - Accuracy: 0.4783 - F1: 0.4169
sub_10:Test (Best Model) - Loss: 1.2022 - Accuracy: 0.4203 - F1: 0.2844
sub_12:Test (Best Model) - Loss: 1.2393 - Accuracy: 0.4412 - F1: 0.3005
sub_11:Test (Best Model) - Loss: 1.6709 - Accuracy: 0.4493 - F1: 0.3829
sub_10:Test (Best Model) - Loss: 1.0910 - Accuracy: 0.6232 - F1: 0.5716
sub_11:Test (Best Model) - Loss: 1.1891 - Accuracy: 0.3768 - F1: 0.2788
sub_10:Test (Best Model) - Loss: 1.3451 - Accuracy: 0.2174 - F1: 0.0904
sub_11:Test (Best Model) - Loss: 1.2455 - Accuracy: 0.5942 - F1: 0.5800
sub_10:Test (Best Model) - Loss: 1.2993 - Accuracy: 0.4058 - F1: 0.2757
sub_11:Test (Best Model) - Loss: 1.2707 - Accuracy: 0.3913 - F1: 0.3105
sub_11:Test (Best Model) - Loss: 1.2616 - Accuracy: 0.3913 - F1: 0.3143
sub_11:Test (Best Model) - Loss: 1.2951 - Accuracy: 0.3478 - F1: 0.2372
sub_13:Test (Best Model) - Loss: 1.3499 - Accuracy: 0.4412 - F1: 0.3548
sub_15:Test (Best Model) - Loss: 1.5499 - Accuracy: 0.4853 - F1: 0.3734
sub_14:Test (Best Model) - Loss: 1.2875 - Accuracy: 0.3382 - F1: 0.2917
sub_13:Test (Best Model) - Loss: 1.2912 - Accuracy: 0.4559 - F1: 0.3213
sub_14:Test (Best Model) - Loss: 1.3136 - Accuracy: 0.2794 - F1: 0.2540
sub_15:Test (Best Model) - Loss: 1.5257 - Accuracy: 0.4853 - F1: 0.3725
sub_15:Test (Best Model) - Loss: 2.2161 - Accuracy: 0.5000 - F1: 0.3868
sub_13:Test (Best Model) - Loss: 1.4182 - Accuracy: 0.4853 - F1: 0.4216
sub_14:Test (Best Model) - Loss: 1.7086 - Accuracy: 0.2059 - F1: 0.2050
sub_15:Test (Best Model) - Loss: 1.6938 - Accuracy: 0.4853 - F1: 0.3990
sub_13:Test (Best Model) - Loss: 1.3776 - Accuracy: 0.4412 - F1: 0.3315
sub_14:Test (Best Model) - Loss: 1.3037 - Accuracy: 0.2353 - F1: 0.2870
sub_15:Test (Best Model) - Loss: 1.9003 - Accuracy: 0.4706 - F1: 0.4698
sub_13:Test (Best Model) - Loss: 1.4440 - Accuracy: 0.4559 - F1: 0.3539
sub_14:Test (Best Model) - Loss: 1.2749 - Accuracy: 0.3676 - F1: 0.3001
sub_15:Test (Best Model) - Loss: 1.2397 - Accuracy: 0.6176 - F1: 0.5417
sub_14:Test (Best Model) - Loss: 1.2197 - Accuracy: 0.4706 - F1: 0.3619
sub_13:Test (Best Model) - Loss: 1.4153 - Accuracy: 0.4493 - F1: 0.3430
sub_15:Test (Best Model) - Loss: 1.3027 - Accuracy: 0.5294 - F1: 0.4603
sub_14:Test (Best Model) - Loss: 1.2989 - Accuracy: 0.4706 - F1: 0.3250
sub_13:Test (Best Model) - Loss: 1.2731 - Accuracy: 0.4928 - F1: 0.3816
sub_15:Test (Best Model) - Loss: 1.2882 - Accuracy: 0.4853 - F1: 0.4413
sub_14:Test (Best Model) - Loss: 1.2255 - Accuracy: 0.4706 - F1: 0.3619
sub_15:Test (Best Model) - Loss: 1.2367 - Accuracy: 0.5882 - F1: 0.5156
sub_13:Test (Best Model) - Loss: 1.1628 - Accuracy: 0.4058 - F1: 0.3881
sub_14:Test (Best Model) - Loss: 1.2281 - Accuracy: 0.4706 - F1: 0.3218
sub_13:Test (Best Model) - Loss: 1.4277 - Accuracy: 0.3623 - F1: 0.2427
sub_14:Test (Best Model) - Loss: 1.3523 - Accuracy: 0.5000 - F1: 0.4157
sub_15:Test (Best Model) - Loss: 1.1896 - Accuracy: 0.6618 - F1: 0.5897
sub_13:Test (Best Model) - Loss: 1.4814 - Accuracy: 0.4203 - F1: 0.2937
sub_14:Test (Best Model) - Loss: 1.2138 - Accuracy: 0.5147 - F1: 0.4544
sub_13:Test (Best Model) - Loss: 1.9518 - Accuracy: 0.2794 - F1: 0.1983
sub_15:Test (Best Model) - Loss: 1.1655 - Accuracy: 0.3382 - F1: 0.3061
sub_14:Test (Best Model) - Loss: 1.3280 - Accuracy: 0.4559 - F1: 0.3571
sub_13:Test (Best Model) - Loss: 2.8618 - Accuracy: 0.3382 - F1: 0.2948
sub_14:Test (Best Model) - Loss: 1.2740 - Accuracy: 0.4706 - F1: 0.3832
sub_15:Test (Best Model) - Loss: 1.2477 - Accuracy: 0.4559 - F1: 0.3512
sub_13:Test (Best Model) - Loss: 2.2751 - Accuracy: 0.3529 - F1: 0.2583
sub_13:Test (Best Model) - Loss: 1.9647 - Accuracy: 0.2647 - F1: 0.2026
sub_14:Test (Best Model) - Loss: 1.3002 - Accuracy: 0.4853 - F1: 0.3744
sub_15:Test (Best Model) - Loss: 1.2569 - Accuracy: 0.3971 - F1: 0.3520
sub_13:Test (Best Model) - Loss: 3.7227 - Accuracy: 0.2941 - F1: 0.2837
sub_14:Test (Best Model) - Loss: 1.2129 - Accuracy: 0.4706 - F1: 0.3654
sub_15:Test (Best Model) - Loss: 1.3481 - Accuracy: 0.4412 - F1: 0.3039
sub_15:Test (Best Model) - Loss: 1.3125 - Accuracy: 0.2500 - F1: 0.1924
sub_16:Test (Best Model) - Loss: 1.3499 - Accuracy: 0.3824 - F1: 0.3064
sub_17:Test (Best Model) - Loss: 1.3383 - Accuracy: 0.3913 - F1: 0.2875
sub_18:Test (Best Model) - Loss: 1.1973 - Accuracy: 0.4783 - F1: 0.3327
sub_17:Test (Best Model) - Loss: 1.3417 - Accuracy: 0.2174 - F1: 0.0904
sub_16:Test (Best Model) - Loss: 1.2491 - Accuracy: 0.3971 - F1: 0.3565
sub_18:Test (Best Model) - Loss: 1.1184 - Accuracy: 0.4783 - F1: 0.3286
sub_17:Test (Best Model) - Loss: 1.0951 - Accuracy: 0.7391 - F1: 0.7365
sub_16:Test (Best Model) - Loss: 1.3085 - Accuracy: 0.2206 - F1: 0.1673
sub_18:Test (Best Model) - Loss: 1.2365 - Accuracy: 0.4638 - F1: 0.3158
sub_17:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.3478 - F1: 0.2405
sub_16:Test (Best Model) - Loss: 1.3525 - Accuracy: 0.3529 - F1: 0.2386
sub_18:Test (Best Model) - Loss: 1.2932 - Accuracy: 0.4783 - F1: 0.3380
sub_16:Test (Best Model) - Loss: 1.3177 - Accuracy: 0.4118 - F1: 0.3780
sub_18:Test (Best Model) - Loss: 1.1405 - Accuracy: 0.4783 - F1: 0.3687
sub_17:Test (Best Model) - Loss: 1.2145 - Accuracy: 0.6232 - F1: 0.6115
sub_16:Test (Best Model) - Loss: 1.4418 - Accuracy: 0.2647 - F1: 0.1660
sub_18:Test (Best Model) - Loss: 1.1634 - Accuracy: 0.4412 - F1: 0.3005
sub_17:Test (Best Model) - Loss: 1.2259 - Accuracy: 0.5072 - F1: 0.5028
sub_16:Test (Best Model) - Loss: 1.3937 - Accuracy: 0.3824 - F1: 0.2743
sub_18:Test (Best Model) - Loss: 1.3188 - Accuracy: 0.3676 - F1: 0.2622
sub_17:Test (Best Model) - Loss: 1.3501 - Accuracy: 0.3333 - F1: 0.3106
sub_18:Test (Best Model) - Loss: 1.3090 - Accuracy: 0.3088 - F1: 0.2255
sub_16:Test (Best Model) - Loss: 1.3257 - Accuracy: 0.5588 - F1: 0.4621
sub_17:Test (Best Model) - Loss: 1.3358 - Accuracy: 0.4493 - F1: 0.3235
sub_18:Test (Best Model) - Loss: 1.3093 - Accuracy: 0.3676 - F1: 0.2678
sub_18:Test (Best Model) - Loss: 1.3137 - Accuracy: 0.5294 - F1: 0.4664
sub_17:Test (Best Model) - Loss: 1.2592 - Accuracy: 0.4928 - F1: 0.4752
sub_16:Test (Best Model) - Loss: 1.5162 - Accuracy: 0.3529 - F1: 0.2441
sub_18:Test (Best Model) - Loss: 1.3937 - Accuracy: 0.3088 - F1: 0.2090
sub_16:Test (Best Model) - Loss: 1.4246 - Accuracy: 0.3676 - F1: 0.2721
sub_17:Test (Best Model) - Loss: 1.3550 - Accuracy: 0.3043 - F1: 0.2081
sub_18:Test (Best Model) - Loss: 1.9841 - Accuracy: 0.4412 - F1: 0.3541
sub_16:Test (Best Model) - Loss: 1.4068 - Accuracy: 0.2353 - F1: 0.1815
sub_17:Test (Best Model) - Loss: 1.4295 - Accuracy: 0.4559 - F1: 0.4593
sub_18:Test (Best Model) - Loss: 1.3947 - Accuracy: 0.4706 - F1: 0.3768
sub_16:Test (Best Model) - Loss: 1.5317 - Accuracy: 0.2500 - F1: 0.2214
sub_17:Test (Best Model) - Loss: 1.4580 - Accuracy: 0.3676 - F1: 0.2775
sub_18:Test (Best Model) - Loss: 1.4504 - Accuracy: 0.3382 - F1: 0.2324
sub_16:Test (Best Model) - Loss: 1.3914 - Accuracy: 0.3235 - F1: 0.2342
sub_17:Test (Best Model) - Loss: 1.4297 - Accuracy: 0.4559 - F1: 0.3940
sub_18:Test (Best Model) - Loss: 1.4018 - Accuracy: 0.4412 - F1: 0.3575
sub_16:Test (Best Model) - Loss: 1.3707 - Accuracy: 0.3088 - F1: 0.2099
sub_17:Test (Best Model) - Loss: 1.3968 - Accuracy: 0.4412 - F1: 0.3777
sub_17:Test (Best Model) - Loss: 1.3557 - Accuracy: 0.3971 - F1: 0.2879
sub_16:Test (Best Model) - Loss: 1.2943 - Accuracy: 0.5000 - F1: 0.4673
sub_19:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.3676 - F1: 0.2576
sub_20:Test (Best Model) - Loss: 1.2524 - Accuracy: 0.4706 - F1: 0.3792
sub_20:Test (Best Model) - Loss: 1.2240 - Accuracy: 0.4265 - F1: 0.2878
sub_21:Test (Best Model) - Loss: 1.7791 - Accuracy: 0.4118 - F1: 0.3014
sub_19:Test (Best Model) - Loss: 1.3546 - Accuracy: 0.3382 - F1: 0.2334
sub_20:Test (Best Model) - Loss: 1.1513 - Accuracy: 0.5588 - F1: 0.4882
sub_21:Test (Best Model) - Loss: 1.4339 - Accuracy: 0.4412 - F1: 0.2980
sub_19:Test (Best Model) - Loss: 1.3189 - Accuracy: 0.4265 - F1: 0.3606
sub_21:Test (Best Model) - Loss: 1.4854 - Accuracy: 0.3971 - F1: 0.2727
sub_19:Test (Best Model) - Loss: 1.3659 - Accuracy: 0.3971 - F1: 0.2818
sub_20:Test (Best Model) - Loss: 1.1794 - Accuracy: 0.5294 - F1: 0.4511
sub_21:Test (Best Model) - Loss: 1.4132 - Accuracy: 0.4265 - F1: 0.3042
sub_20:Test (Best Model) - Loss: 1.2096 - Accuracy: 0.4706 - F1: 0.3726
sub_19:Test (Best Model) - Loss: 1.3769 - Accuracy: 0.3529 - F1: 0.2940
sub_20:Test (Best Model) - Loss: 1.2222 - Accuracy: 0.5000 - F1: 0.4565
sub_21:Test (Best Model) - Loss: 1.7348 - Accuracy: 0.3971 - F1: 0.2819
sub_19:Test (Best Model) - Loss: 1.3996 - Accuracy: 0.2353 - F1: 0.1401
sub_20:Test (Best Model) - Loss: 1.2784 - Accuracy: 0.4559 - F1: 0.3346
sub_21:Test (Best Model) - Loss: 1.3020 - Accuracy: 0.4706 - F1: 0.4604
sub_19:Test (Best Model) - Loss: 1.3258 - Accuracy: 0.2206 - F1: 0.1138
sub_20:Test (Best Model) - Loss: 1.1823 - Accuracy: 0.6912 - F1: 0.6460
sub_19:Test (Best Model) - Loss: 1.2518 - Accuracy: 0.3529 - F1: 0.2730
sub_21:Test (Best Model) - Loss: 1.3410 - Accuracy: 0.5882 - F1: 0.5776
sub_19:Test (Best Model) - Loss: 1.3057 - Accuracy: 0.2941 - F1: 0.2287
sub_20:Test (Best Model) - Loss: 1.1283 - Accuracy: 0.6324 - F1: 0.5504
sub_21:Test (Best Model) - Loss: 1.4908 - Accuracy: 0.3971 - F1: 0.2623
sub_19:Test (Best Model) - Loss: 1.3644 - Accuracy: 0.3382 - F1: 0.2792
sub_20:Test (Best Model) - Loss: 1.2712 - Accuracy: 0.4412 - F1: 0.3157
sub_21:Test (Best Model) - Loss: 1.3284 - Accuracy: 0.4412 - F1: 0.3509
sub_19:Test (Best Model) - Loss: 1.2954 - Accuracy: 0.2059 - F1: 0.0909
sub_20:Test (Best Model) - Loss: 1.5207 - Accuracy: 0.3913 - F1: 0.3042
sub_21:Test (Best Model) - Loss: 1.2597 - Accuracy: 0.5441 - F1: 0.4582
sub_19:Test (Best Model) - Loss: 1.1796 - Accuracy: 0.5147 - F1: 0.4803
sub_21:Test (Best Model) - Loss: 1.2147 - Accuracy: 0.4559 - F1: 0.3767
sub_20:Test (Best Model) - Loss: 1.3336 - Accuracy: 0.3768 - F1: 0.3168
sub_19:Test (Best Model) - Loss: 1.1475 - Accuracy: 0.4412 - F1: 0.4219
sub_21:Test (Best Model) - Loss: 1.2670 - Accuracy: 0.5000 - F1: 0.4631
sub_20:Test (Best Model) - Loss: 1.2949 - Accuracy: 0.4638 - F1: 0.4137
sub_19:Test (Best Model) - Loss: 1.2676 - Accuracy: 0.4559 - F1: 0.3167
sub_20:Test (Best Model) - Loss: 1.3539 - Accuracy: 0.3623 - F1: 0.2813
sub_21:Test (Best Model) - Loss: 1.2798 - Accuracy: 0.3971 - F1: 0.3534
sub_19:Test (Best Model) - Loss: 1.0866 - Accuracy: 0.4853 - F1: 0.4193
sub_20:Test (Best Model) - Loss: 1.4880 - Accuracy: 0.4493 - F1: 0.3405
sub_21:Test (Best Model) - Loss: 1.2985 - Accuracy: 0.3824 - F1: 0.2961
sub_21:Test (Best Model) - Loss: 1.2080 - Accuracy: 0.4265 - F1: 0.3478
sub_23:Test (Best Model) - Loss: 1.3651 - Accuracy: 0.4493 - F1: 0.3191
sub_24:Test (Best Model) - Loss: 1.2240 - Accuracy: 0.5441 - F1: 0.5029
sub_22:Test (Best Model) - Loss: 1.4917 - Accuracy: 0.4118 - F1: 0.3268
sub_23:Test (Best Model) - Loss: 1.1840 - Accuracy: 0.5942 - F1: 0.6002
sub_24:Test (Best Model) - Loss: 1.2090 - Accuracy: 0.4412 - F1: 0.3594
sub_22:Test (Best Model) - Loss: 1.4613 - Accuracy: 0.4265 - F1: 0.3400
sub_23:Test (Best Model) - Loss: 1.2707 - Accuracy: 0.5797 - F1: 0.5572
sub_24:Test (Best Model) - Loss: 1.2761 - Accuracy: 0.4706 - F1: 0.3628
sub_22:Test (Best Model) - Loss: 1.2362 - Accuracy: 0.4118 - F1: 0.3268
sub_23:Test (Best Model) - Loss: 1.3732 - Accuracy: 0.3333 - F1: 0.2277
sub_24:Test (Best Model) - Loss: 1.2533 - Accuracy: 0.4412 - F1: 0.3265
sub_22:Test (Best Model) - Loss: 1.3811 - Accuracy: 0.4412 - F1: 0.3524
sub_23:Test (Best Model) - Loss: 1.3537 - Accuracy: 0.4928 - F1: 0.4406
sub_24:Test (Best Model) - Loss: 1.3142 - Accuracy: 0.3235 - F1: 0.2209
sub_23:Test (Best Model) - Loss: 1.9710 - Accuracy: 0.4265 - F1: 0.3778
sub_24:Test (Best Model) - Loss: 1.4718 - Accuracy: 0.4559 - F1: 0.3777
sub_22:Test (Best Model) - Loss: 1.5265 - Accuracy: 0.4265 - F1: 0.3400
sub_23:Test (Best Model) - Loss: 1.3864 - Accuracy: 0.3088 - F1: 0.2144
sub_22:Test (Best Model) - Loss: 1.2722 - Accuracy: 0.4783 - F1: 0.4129
sub_24:Test (Best Model) - Loss: 1.3744 - Accuracy: 0.4853 - F1: 0.4262
sub_23:Test (Best Model) - Loss: 1.3718 - Accuracy: 0.3529 - F1: 0.2483
sub_22:Test (Best Model) - Loss: 1.2995 - Accuracy: 0.4493 - F1: 0.3909
sub_24:Test (Best Model) - Loss: 1.3095 - Accuracy: 0.4118 - F1: 0.3383
sub_23:Test (Best Model) - Loss: 1.3697 - Accuracy: 0.3088 - F1: 0.2419
sub_22:Test (Best Model) - Loss: 1.2869 - Accuracy: 0.3333 - F1: 0.3118
sub_23:Test (Best Model) - Loss: 1.3495 - Accuracy: 0.3971 - F1: 0.3214
sub_24:Test (Best Model) - Loss: 1.3979 - Accuracy: 0.4265 - F1: 0.3309
sub_22:Test (Best Model) - Loss: 1.2653 - Accuracy: 0.4928 - F1: 0.4545
sub_23:Test (Best Model) - Loss: 1.4238 - Accuracy: 0.4203 - F1: 0.2971
sub_24:Test (Best Model) - Loss: 1.4778 - Accuracy: 0.4118 - F1: 0.3054
sub_22:Test (Best Model) - Loss: 1.3234 - Accuracy: 0.4638 - F1: 0.4135
sub_22:Test (Best Model) - Loss: 1.6641 - Accuracy: 0.2059 - F1: 0.0854
sub_24:Test (Best Model) - Loss: 1.3068 - Accuracy: 0.3382 - F1: 0.2786
sub_23:Test (Best Model) - Loss: 1.1853 - Accuracy: 0.3913 - F1: 0.3304
sub_22:Test (Best Model) - Loss: 1.6949 - Accuracy: 0.4706 - F1: 0.3482
sub_23:Test (Best Model) - Loss: 1.4677 - Accuracy: 0.3768 - F1: 0.3076
sub_24:Test (Best Model) - Loss: 1.1711 - Accuracy: 0.5000 - F1: 0.4461
sub_23:Test (Best Model) - Loss: 1.3322 - Accuracy: 0.4058 - F1: 0.3623
sub_22:Test (Best Model) - Loss: 1.3377 - Accuracy: 0.7059 - F1: 0.7127
sub_23:Test (Best Model) - Loss: 1.5589 - Accuracy: 0.4203 - F1: 0.3300
sub_22:Test (Best Model) - Loss: 1.4492 - Accuracy: 0.3529 - F1: 0.3029
sub_24:Test (Best Model) - Loss: 1.1676 - Accuracy: 0.6618 - F1: 0.6473
sub_24:Test (Best Model) - Loss: 1.3088 - Accuracy: 0.4118 - F1: 0.4022
sub_22:Test (Best Model) - Loss: 1.2494 - Accuracy: 0.6324 - F1: 0.5631
sub_24:Test (Best Model) - Loss: 1.1661 - Accuracy: 0.5735 - F1: 0.5031
sub_26:Test (Best Model) - Loss: 1.3029 - Accuracy: 0.4493 - F1: 0.3584
sub_25:Test (Best Model) - Loss: 1.1785 - Accuracy: 0.6667 - F1: 0.6344
sub_27:Test (Best Model) - Loss: 1.3383 - Accuracy: 0.3913 - F1: 0.2875
sub_27:Test (Best Model) - Loss: 1.3417 - Accuracy: 0.2174 - F1: 0.0904
sub_26:Test (Best Model) - Loss: 1.0845 - Accuracy: 0.5942 - F1: 0.5135
sub_25:Test (Best Model) - Loss: 1.2406 - Accuracy: 0.4638 - F1: 0.3782
sub_25:Test (Best Model) - Loss: 1.0971 - Accuracy: 0.6667 - F1: 0.6156
sub_27:Test (Best Model) - Loss: 1.0951 - Accuracy: 0.7391 - F1: 0.7365
sub_26:Test (Best Model) - Loss: 1.0545 - Accuracy: 0.6377 - F1: 0.5613
sub_27:Test (Best Model) - Loss: 1.3850 - Accuracy: 0.3478 - F1: 0.2405
sub_25:Test (Best Model) - Loss: 1.1438 - Accuracy: 0.6232 - F1: 0.5407
sub_26:Test (Best Model) - Loss: 1.1832 - Accuracy: 0.5507 - F1: 0.4794
sub_27:Test (Best Model) - Loss: 1.2145 - Accuracy: 0.6232 - F1: 0.6115
sub_25:Test (Best Model) - Loss: 0.9699 - Accuracy: 0.7101 - F1: 0.6814
sub_26:Test (Best Model) - Loss: 1.0975 - Accuracy: 0.6377 - F1: 0.5678
sub_25:Test (Best Model) - Loss: 1.1612 - Accuracy: 0.6765 - F1: 0.5927
sub_27:Test (Best Model) - Loss: 1.2259 - Accuracy: 0.5072 - F1: 0.5028
sub_26:Test (Best Model) - Loss: 1.1953 - Accuracy: 0.6176 - F1: 0.5346
sub_25:Test (Best Model) - Loss: 1.3127 - Accuracy: 0.5882 - F1: 0.5108
sub_26:Test (Best Model) - Loss: 1.2355 - Accuracy: 0.6176 - F1: 0.5995
sub_27:Test (Best Model) - Loss: 1.3501 - Accuracy: 0.3333 - F1: 0.3106
sub_25:Test (Best Model) - Loss: 1.2319 - Accuracy: 0.6912 - F1: 0.6573
sub_27:Test (Best Model) - Loss: 1.3358 - Accuracy: 0.4493 - F1: 0.3235
sub_26:Test (Best Model) - Loss: 1.0906 - Accuracy: 0.6176 - F1: 0.5932
sub_25:Test (Best Model) - Loss: 1.2790 - Accuracy: 0.6471 - F1: 0.5686
sub_27:Test (Best Model) - Loss: 1.2592 - Accuracy: 0.4928 - F1: 0.4752
sub_26:Test (Best Model) - Loss: 1.2746 - Accuracy: 0.3676 - F1: 0.3075
sub_25:Test (Best Model) - Loss: 1.2858 - Accuracy: 0.6029 - F1: 0.5202
sub_27:Test (Best Model) - Loss: 1.3550 - Accuracy: 0.3043 - F1: 0.2081
sub_26:Test (Best Model) - Loss: 1.2581 - Accuracy: 0.5735 - F1: 0.5078
sub_25:Test (Best Model) - Loss: 0.9610 - Accuracy: 0.6618 - F1: 0.6461
sub_26:Test (Best Model) - Loss: 1.4256 - Accuracy: 0.2206 - F1: 0.1125
sub_27:Test (Best Model) - Loss: 1.4295 - Accuracy: 0.4559 - F1: 0.4593
sub_26:Test (Best Model) - Loss: 1.5353 - Accuracy: 0.3971 - F1: 0.3173
sub_25:Test (Best Model) - Loss: 0.9258 - Accuracy: 0.6176 - F1: 0.6062
sub_27:Test (Best Model) - Loss: 1.4580 - Accuracy: 0.3676 - F1: 0.2775
sub_26:Test (Best Model) - Loss: 1.3595 - Accuracy: 0.2941 - F1: 0.2814
sub_27:Test (Best Model) - Loss: 1.4297 - Accuracy: 0.4559 - F1: 0.3940
sub_26:Test (Best Model) - Loss: 1.4295 - Accuracy: 0.1765 - F1: 0.0932
sub_27:Test (Best Model) - Loss: 1.3968 - Accuracy: 0.4412 - F1: 0.3777
sub_25:Test (Best Model) - Loss: 0.8293 - Accuracy: 0.6765 - F1: 0.6880
sub_26:Test (Best Model) - Loss: 1.4411 - Accuracy: 0.4412 - F1: 0.3898
sub_27:Test (Best Model) - Loss: 1.3557 - Accuracy: 0.3971 - F1: 0.2879
sub_25:Test (Best Model) - Loss: 1.3253 - Accuracy: 0.4265 - F1: 0.3845
sub_25:Test (Best Model) - Loss: 0.8741 - Accuracy: 0.6324 - F1: 0.6126
sub_29:Test (Best Model) - Loss: 1.3842 - Accuracy: 0.3382 - F1: 0.2382
sub_28:Test (Best Model) - Loss: 1.3308 - Accuracy: 0.4118 - F1: 0.3208
sub_29:Test (Best Model) - Loss: 1.5662 - Accuracy: 0.2059 - F1: 0.0854
sub_28:Test (Best Model) - Loss: 1.3019 - Accuracy: 0.2794 - F1: 0.2148
sub_29:Test (Best Model) - Loss: 1.3653 - Accuracy: 0.5147 - F1: 0.4138
sub_28:Test (Best Model) - Loss: 1.3281 - Accuracy: 0.4559 - F1: 0.3327
sub_29:Test (Best Model) - Loss: 1.4178 - Accuracy: 0.2206 - F1: 0.1124
sub_28:Test (Best Model) - Loss: 1.3438 - Accuracy: 0.4412 - F1: 0.2981
sub_29:Test (Best Model) - Loss: 1.8930 - Accuracy: 0.4412 - F1: 0.3867
sub_28:Test (Best Model) - Loss: 1.3543 - Accuracy: 0.3382 - F1: 0.2380
sub_29:Test (Best Model) - Loss: 1.1876 - Accuracy: 0.6618 - F1: 0.5932
sub_29:Test (Best Model) - Loss: 1.3077 - Accuracy: 0.4706 - F1: 0.3960
sub_28:Test (Best Model) - Loss: 2.1570 - Accuracy: 0.3382 - F1: 0.2516
sub_29:Test (Best Model) - Loss: 1.1883 - Accuracy: 0.4559 - F1: 0.3119
sub_28:Test (Best Model) - Loss: 1.5782 - Accuracy: 0.3529 - F1: 0.2614
sub_29:Test (Best Model) - Loss: 1.5211 - Accuracy: 0.4118 - F1: 0.3075
sub_28:Test (Best Model) - Loss: 1.4958 - Accuracy: 0.3971 - F1: 0.2911
sub_29:Test (Best Model) - Loss: 1.3729 - Accuracy: 0.6176 - F1: 0.5370
sub_28:Test (Best Model) - Loss: 2.3381 - Accuracy: 0.3382 - F1: 0.2500
sub_29:Test (Best Model) - Loss: 1.4263 - Accuracy: 0.2174 - F1: 0.0904
sub_28:Test (Best Model) - Loss: 1.8652 - Accuracy: 0.3088 - F1: 0.2051
sub_29:Test (Best Model) - Loss: 1.2044 - Accuracy: 0.4348 - F1: 0.2959
sub_28:Test (Best Model) - Loss: 2.2752 - Accuracy: 0.1765 - F1: 0.0923
sub_29:Test (Best Model) - Loss: 1.2658 - Accuracy: 0.5797 - F1: 0.5145
sub_29:Test (Best Model) - Loss: 1.4242 - Accuracy: 0.2174 - F1: 0.0893
sub_28:Test (Best Model) - Loss: 1.6181 - Accuracy: 0.2353 - F1: 0.1522
sub_29:Test (Best Model) - Loss: 1.3411 - Accuracy: 0.2029 - F1: 0.1066
sub_28:Test (Best Model) - Loss: 1.7235 - Accuracy: 0.3971 - F1: 0.2889
sub_28:Test (Best Model) - Loss: 1.7155 - Accuracy: 0.1765 - F1: 0.0759
sub_28:Test (Best Model) - Loss: 1.7468 - Accuracy: 0.1176 - F1: 0.0853

=== Summary Results ===

acc: 43.90 ± 8.04
F1: 36.04 ± 9.13
acc-in: 52.06 ± 7.01
F1-in: 45.46 ± 8.23
runing time: 2160.97 seconds
