lr: 0.001
sub_14:Test (Best Model) - Loss: 3.6203 - Accuracy: 0.2647 - F1: 0.1047
sub_13:Test (Best Model) - Loss: 1.1917 - Accuracy: 0.4853 - F1: 0.4589
sub_2:Test (Best Model) - Loss: 1.0119 - Accuracy: 0.5072 - F1: 0.4427
sub_12:Test (Best Model) - Loss: 1.4229 - Accuracy: 0.3235 - F1: 0.2595
sub_5:Test (Best Model) - Loss: 1.2800 - Accuracy: 0.3676 - F1: 0.3468
sub_15:Test (Best Model) - Loss: 2.8372 - Accuracy: 0.3088 - F1: 0.3195
sub_9:Test (Best Model) - Loss: 1.1299 - Accuracy: 0.3529 - F1: 0.3422
sub_8:Test (Best Model) - Loss: 3.3073 - Accuracy: 0.1618 - F1: 0.1933
sub_11:Test (Best Model) - Loss: 1.0680 - Accuracy: 0.5072 - F1: 0.4953
sub_14:Test (Best Model) - Loss: 4.0269 - Accuracy: 0.3088 - F1: 0.1967
sub_4:Test (Best Model) - Loss: 1.0156 - Accuracy: 0.5362 - F1: 0.5191
sub_6:Test (Best Model) - Loss: 0.9271 - Accuracy: 0.5294 - F1: 0.5355
sub_3:Test (Best Model) - Loss: 1.3837 - Accuracy: 0.4853 - F1: 0.4792
sub_10:Test (Best Model) - Loss: 0.6067 - Accuracy: 0.6912 - F1: 0.7028
sub_7:Test (Best Model) - Loss: 1.2202 - Accuracy: 0.6176 - F1: 0.6050
sub_5:Test (Best Model) - Loss: 0.9960 - Accuracy: 0.5147 - F1: 0.4969
sub_8:Test (Best Model) - Loss: 1.7400 - Accuracy: 0.0000 - F1: 0.0000
sub_12:Test (Best Model) - Loss: 1.2957 - Accuracy: 0.3529 - F1: 0.2795
sub_1:Test (Best Model) - Loss: 1.0360 - Accuracy: 0.6324 - F1: 0.6350
sub_2:Test (Best Model) - Loss: 1.1578 - Accuracy: 0.5507 - F1: 0.5482
sub_13:Test (Best Model) - Loss: 2.1660 - Accuracy: 0.4412 - F1: 0.3891
sub_14:Test (Best Model) - Loss: 2.2162 - Accuracy: 0.2500 - F1: 0.2261
sub_9:Test (Best Model) - Loss: 0.5779 - Accuracy: 0.7059 - F1: 0.7057
sub_15:Test (Best Model) - Loss: 2.7172 - Accuracy: 0.1912 - F1: 0.2042
sub_12:Test (Best Model) - Loss: 1.4649 - Accuracy: 0.2941 - F1: 0.2324
sub_8:Test (Best Model) - Loss: 1.4072 - Accuracy: 0.3382 - F1: 0.2722
sub_4:Test (Best Model) - Loss: 0.7112 - Accuracy: 0.5507 - F1: 0.5712
sub_10:Test (Best Model) - Loss: 1.6639 - Accuracy: 0.3824 - F1: 0.3835
sub_3:Test (Best Model) - Loss: 1.0611 - Accuracy: 0.6176 - F1: 0.5720
sub_11:Test (Best Model) - Loss: 1.0194 - Accuracy: 0.5072 - F1: 0.5327
sub_6:Test (Best Model) - Loss: 1.0938 - Accuracy: 0.3529 - F1: 0.3443
sub_5:Test (Best Model) - Loss: 1.4867 - Accuracy: 0.2647 - F1: 0.2575
sub_1:Test (Best Model) - Loss: 0.6319 - Accuracy: 0.6765 - F1: 0.6968
sub_2:Test (Best Model) - Loss: 1.4999 - Accuracy: 0.3623 - F1: 0.3099
sub_7:Test (Best Model) - Loss: 1.5678 - Accuracy: 0.4853 - F1: 0.5152
sub_12:Test (Best Model) - Loss: 1.1502 - Accuracy: 0.4118 - F1: 0.4137
sub_13:Test (Best Model) - Loss: 1.2846 - Accuracy: 0.3824 - F1: 0.3051
sub_9:Test (Best Model) - Loss: 0.8521 - Accuracy: 0.5294 - F1: 0.5183
sub_3:Test (Best Model) - Loss: 1.8934 - Accuracy: 0.3235 - F1: 0.2361
sub_4:Test (Best Model) - Loss: 1.7143 - Accuracy: 0.3478 - F1: 0.2714
sub_15:Test (Best Model) - Loss: 1.3618 - Accuracy: 0.3088 - F1: 0.2929
sub_7:Test (Best Model) - Loss: 1.4170 - Accuracy: 0.2206 - F1: 0.2239
sub_5:Test (Best Model) - Loss: 1.0407 - Accuracy: 0.5147 - F1: 0.5146
sub_14:Test (Best Model) - Loss: 4.3354 - Accuracy: 0.2500 - F1: 0.1533
sub_2:Test (Best Model) - Loss: 1.6712 - Accuracy: 0.2899 - F1: 0.1954
sub_6:Test (Best Model) - Loss: 1.7588 - Accuracy: 0.3235 - F1: 0.2543
sub_8:Test (Best Model) - Loss: 4.3951 - Accuracy: 0.1618 - F1: 0.2017
sub_10:Test (Best Model) - Loss: 1.5326 - Accuracy: 0.4118 - F1: 0.3284
sub_12:Test (Best Model) - Loss: 1.4769 - Accuracy: 0.4559 - F1: 0.4350
sub_11:Test (Best Model) - Loss: 2.2663 - Accuracy: 0.3333 - F1: 0.3111
sub_1:Test (Best Model) - Loss: 0.6869 - Accuracy: 0.7353 - F1: 0.7444
sub_13:Test (Best Model) - Loss: 1.3085 - Accuracy: 0.5441 - F1: 0.5120
sub_4:Test (Best Model) - Loss: 1.2792 - Accuracy: 0.5217 - F1: 0.4927
sub_9:Test (Best Model) - Loss: 0.8990 - Accuracy: 0.4853 - F1: 0.4866
sub_5:Test (Best Model) - Loss: 1.0054 - Accuracy: 0.5441 - F1: 0.5358
sub_12:Test (Best Model) - Loss: 2.2955 - Accuracy: 0.2609 - F1: 0.1059
sub_15:Test (Best Model) - Loss: 1.8016 - Accuracy: 0.3088 - F1: 0.3087
sub_14:Test (Best Model) - Loss: 3.9107 - Accuracy: 0.2941 - F1: 0.1686
sub_2:Test (Best Model) - Loss: 1.2987 - Accuracy: 0.5217 - F1: 0.4668
sub_3:Test (Best Model) - Loss: 0.7997 - Accuracy: 0.5735 - F1: 0.5424
sub_9:Test (Best Model) - Loss: 0.7812 - Accuracy: 0.5735 - F1: 0.5682
sub_7:Test (Best Model) - Loss: 1.3274 - Accuracy: 0.2353 - F1: 0.2330
sub_13:Test (Best Model) - Loss: 1.2852 - Accuracy: 0.4559 - F1: 0.3777
sub_6:Test (Best Model) - Loss: 1.2260 - Accuracy: 0.3676 - F1: 0.3880
sub_11:Test (Best Model) - Loss: 1.0583 - Accuracy: 0.6522 - F1: 0.6511
sub_8:Test (Best Model) - Loss: 4.5484 - Accuracy: 0.2647 - F1: 0.2671
sub_12:Test (Best Model) - Loss: 2.0694 - Accuracy: 0.2754 - F1: 0.1371
sub_10:Test (Best Model) - Loss: 1.0650 - Accuracy: 0.5441 - F1: 0.5308
sub_2:Test (Best Model) - Loss: 1.5354 - Accuracy: 0.3971 - F1: 0.3703
sub_1:Test (Best Model) - Loss: 0.7034 - Accuracy: 0.7059 - F1: 0.7254
sub_15:Test (Best Model) - Loss: 1.9726 - Accuracy: 0.3382 - F1: 0.3502
sub_11:Test (Best Model) - Loss: 0.7897 - Accuracy: 0.6522 - F1: 0.6462
sub_5:Test (Best Model) - Loss: 1.1393 - Accuracy: 0.5588 - F1: 0.5624
sub_4:Test (Best Model) - Loss: 0.8770 - Accuracy: 0.5797 - F1: 0.5779
sub_9:Test (Best Model) - Loss: 1.1243 - Accuracy: 0.3382 - F1: 0.2925
sub_8:Test (Best Model) - Loss: 1.6852 - Accuracy: 0.3235 - F1: 0.2494
sub_3:Test (Best Model) - Loss: 1.3449 - Accuracy: 0.4265 - F1: 0.3857
sub_14:Test (Best Model) - Loss: 0.9050 - Accuracy: 0.4412 - F1: 0.4828
sub_10:Test (Best Model) - Loss: 1.1372 - Accuracy: 0.5000 - F1: 0.4374
sub_6:Test (Best Model) - Loss: 1.0476 - Accuracy: 0.4412 - F1: 0.4257
sub_13:Test (Best Model) - Loss: 3.7847 - Accuracy: 0.2609 - F1: 0.1621
sub_12:Test (Best Model) - Loss: 1.9260 - Accuracy: 0.2899 - F1: 0.2579
sub_2:Test (Best Model) - Loss: 1.3097 - Accuracy: 0.3676 - F1: 0.3519
sub_1:Test (Best Model) - Loss: 0.8173 - Accuracy: 0.7206 - F1: 0.7361
sub_7:Test (Best Model) - Loss: 1.7804 - Accuracy: 0.4412 - F1: 0.4459
sub_8:Test (Best Model) - Loss: 1.5436 - Accuracy: 0.2941 - F1: 0.1901
sub_15:Test (Best Model) - Loss: 1.2642 - Accuracy: 0.4853 - F1: 0.4982
sub_9:Test (Best Model) - Loss: 0.5707 - Accuracy: 0.7500 - F1: 0.7328
sub_12:Test (Best Model) - Loss: 1.5903 - Accuracy: 0.2609 - F1: 0.2482
sub_13:Test (Best Model) - Loss: 1.2610 - Accuracy: 0.4203 - F1: 0.4196
sub_4:Test (Best Model) - Loss: 1.1597 - Accuracy: 0.4203 - F1: 0.4012
sub_10:Test (Best Model) - Loss: 1.1805 - Accuracy: 0.4412 - F1: 0.4273
sub_3:Test (Best Model) - Loss: 0.8428 - Accuracy: 0.5217 - F1: 0.5136
sub_6:Test (Best Model) - Loss: 1.1245 - Accuracy: 0.4638 - F1: 0.4608
sub_11:Test (Best Model) - Loss: 1.0821 - Accuracy: 0.4493 - F1: 0.4097
sub_14:Test (Best Model) - Loss: 1.8285 - Accuracy: 0.4412 - F1: 0.3820
sub_5:Test (Best Model) - Loss: 1.3378 - Accuracy: 0.4853 - F1: 0.5056
sub_8:Test (Best Model) - Loss: 1.4327 - Accuracy: 0.3676 - F1: 0.3046
sub_7:Test (Best Model) - Loss: 1.7989 - Accuracy: 0.4118 - F1: 0.4233
sub_2:Test (Best Model) - Loss: 1.0689 - Accuracy: 0.4265 - F1: 0.3918
sub_6:Test (Best Model) - Loss: 1.3413 - Accuracy: 0.3478 - F1: 0.3154
sub_15:Test (Best Model) - Loss: 1.8708 - Accuracy: 0.2794 - F1: 0.1984
sub_12:Test (Best Model) - Loss: 2.4498 - Accuracy: 0.4783 - F1: 0.3687
sub_9:Test (Best Model) - Loss: 0.6021 - Accuracy: 0.6765 - F1: 0.6707
sub_13:Test (Best Model) - Loss: 1.0795 - Accuracy: 0.4203 - F1: 0.4442
sub_4:Test (Best Model) - Loss: 1.0524 - Accuracy: 0.6377 - F1: 0.6313
sub_10:Test (Best Model) - Loss: 0.9747 - Accuracy: 0.5882 - F1: 0.5885
sub_1:Test (Best Model) - Loss: 1.7448 - Accuracy: 0.5072 - F1: 0.4664
sub_8:Test (Best Model) - Loss: 1.9774 - Accuracy: 0.2500 - F1: 0.1654
sub_2:Test (Best Model) - Loss: 2.0982 - Accuracy: 0.2500 - F1: 0.1012
sub_14:Test (Best Model) - Loss: 1.7272 - Accuracy: 0.4118 - F1: 0.3108
sub_7:Test (Best Model) - Loss: 2.8720 - Accuracy: 0.3382 - F1: 0.2524
sub_5:Test (Best Model) - Loss: 1.1095 - Accuracy: 0.6029 - F1: 0.6111
sub_13:Test (Best Model) - Loss: 1.3189 - Accuracy: 0.3188 - F1: 0.2731
sub_11:Test (Best Model) - Loss: 1.0365 - Accuracy: 0.5362 - F1: 0.5254
sub_6:Test (Best Model) - Loss: 1.1741 - Accuracy: 0.4928 - F1: 0.4956
sub_3:Test (Best Model) - Loss: 1.0749 - Accuracy: 0.5507 - F1: 0.5321
sub_15:Test (Best Model) - Loss: 1.2422 - Accuracy: 0.3824 - F1: 0.3947
sub_12:Test (Best Model) - Loss: 1.3301 - Accuracy: 0.3529 - F1: 0.3572
sub_8:Test (Best Model) - Loss: 1.2092 - Accuracy: 0.3235 - F1: 0.3096
sub_4:Test (Best Model) - Loss: 1.1606 - Accuracy: 0.5217 - F1: 0.4926
sub_10:Test (Best Model) - Loss: 1.3712 - Accuracy: 0.3971 - F1: 0.3794
sub_5:Test (Best Model) - Loss: 1.7733 - Accuracy: 0.2500 - F1: 0.1686
sub_6:Test (Best Model) - Loss: 1.3827 - Accuracy: 0.2899 - F1: 0.1737
sub_13:Test (Best Model) - Loss: 1.5018 - Accuracy: 0.2609 - F1: 0.1892
sub_14:Test (Best Model) - Loss: 1.1298 - Accuracy: 0.4118 - F1: 0.2915
sub_2:Test (Best Model) - Loss: 2.8075 - Accuracy: 0.2647 - F1: 0.1315
sub_9:Test (Best Model) - Loss: 0.9237 - Accuracy: 0.6029 - F1: 0.5941
sub_7:Test (Best Model) - Loss: 2.4800 - Accuracy: 0.2941 - F1: 0.2722
sub_1:Test (Best Model) - Loss: 0.9074 - Accuracy: 0.5362 - F1: 0.5666
sub_11:Test (Best Model) - Loss: 1.2620 - Accuracy: 0.5072 - F1: 0.4755
sub_13:Test (Best Model) - Loss: 1.3338 - Accuracy: 0.2941 - F1: 0.2196
sub_5:Test (Best Model) - Loss: 1.0861 - Accuracy: 0.5294 - F1: 0.4916
sub_12:Test (Best Model) - Loss: 1.6397 - Accuracy: 0.3382 - F1: 0.2770
sub_3:Test (Best Model) - Loss: 0.8779 - Accuracy: 0.5507 - F1: 0.5292
sub_6:Test (Best Model) - Loss: 1.5862 - Accuracy: 0.3188 - F1: 0.2354
sub_9:Test (Best Model) - Loss: 0.8517 - Accuracy: 0.5588 - F1: 0.4962
sub_14:Test (Best Model) - Loss: 1.9450 - Accuracy: 0.3824 - F1: 0.2825
sub_10:Test (Best Model) - Loss: 1.3806 - Accuracy: 0.5147 - F1: 0.5088
sub_8:Test (Best Model) - Loss: 1.9110 - Accuracy: 0.3676 - F1: 0.2752
sub_11:Test (Best Model) - Loss: 1.3238 - Accuracy: 0.3768 - F1: 0.3409
sub_7:Test (Best Model) - Loss: 3.1717 - Accuracy: 0.2500 - F1: 0.1971
sub_4:Test (Best Model) - Loss: 0.9620 - Accuracy: 0.5507 - F1: 0.5527
sub_1:Test (Best Model) - Loss: 1.1708 - Accuracy: 0.5797 - F1: 0.5879
sub_2:Test (Best Model) - Loss: 1.4355 - Accuracy: 0.5217 - F1: 0.4634
sub_13:Test (Best Model) - Loss: 1.3599 - Accuracy: 0.3235 - F1: 0.3589
sub_5:Test (Best Model) - Loss: 1.2986 - Accuracy: 0.4853 - F1: 0.4880
sub_2:Test (Best Model) - Loss: 1.4182 - Accuracy: 0.2899 - F1: 0.1647
sub_8:Test (Best Model) - Loss: 1.2505 - Accuracy: 0.2941 - F1: 0.2875
sub_15:Test (Best Model) - Loss: 1.7107 - Accuracy: 0.4118 - F1: 0.4277
sub_9:Test (Best Model) - Loss: 1.3782 - Accuracy: 0.2647 - F1: 0.2085
sub_4:Test (Best Model) - Loss: 0.8200 - Accuracy: 0.5797 - F1: 0.5377
sub_3:Test (Best Model) - Loss: 1.2991 - Accuracy: 0.5072 - F1: 0.4951
sub_12:Test (Best Model) - Loss: 1.2972 - Accuracy: 0.4706 - F1: 0.4884
sub_14:Test (Best Model) - Loss: 1.4325 - Accuracy: 0.4265 - F1: 0.4500
sub_6:Test (Best Model) - Loss: 1.0007 - Accuracy: 0.4638 - F1: 0.4202
sub_11:Test (Best Model) - Loss: 1.2262 - Accuracy: 0.5362 - F1: 0.5162
sub_7:Test (Best Model) - Loss: 2.8362 - Accuracy: 0.3088 - F1: 0.2911
sub_13:Test (Best Model) - Loss: 1.2365 - Accuracy: 0.4412 - F1: 0.4648
sub_1:Test (Best Model) - Loss: 1.0253 - Accuracy: 0.5652 - F1: 0.5741
sub_10:Test (Best Model) - Loss: 1.6053 - Accuracy: 0.4265 - F1: 0.3769
sub_15:Test (Best Model) - Loss: 1.6248 - Accuracy: 0.2941 - F1: 0.3174
sub_8:Test (Best Model) - Loss: 1.0515 - Accuracy: 0.3235 - F1: 0.3156
sub_5:Test (Best Model) - Loss: 2.6903 - Accuracy: 0.2500 - F1: 0.1505
sub_4:Test (Best Model) - Loss: 1.4248 - Accuracy: 0.4493 - F1: 0.4451
sub_12:Test (Best Model) - Loss: 1.9678 - Accuracy: 0.2647 - F1: 0.1688
sub_3:Test (Best Model) - Loss: 1.0870 - Accuracy: 0.4638 - F1: 0.4170
sub_2:Test (Best Model) - Loss: 0.8277 - Accuracy: 0.5362 - F1: 0.5108
sub_7:Test (Best Model) - Loss: 1.5826 - Accuracy: 0.3235 - F1: 0.2925
sub_9:Test (Best Model) - Loss: 1.9930 - Accuracy: 0.2941 - F1: 0.2669
sub_11:Test (Best Model) - Loss: 1.3395 - Accuracy: 0.4783 - F1: 0.4615
sub_14:Test (Best Model) - Loss: 1.6369 - Accuracy: 0.4412 - F1: 0.3572
sub_6:Test (Best Model) - Loss: 1.2724 - Accuracy: 0.3478 - F1: 0.2943
sub_13:Test (Best Model) - Loss: 1.7292 - Accuracy: 0.4559 - F1: 0.4502
sub_1:Test (Best Model) - Loss: 0.8408 - Accuracy: 0.6087 - F1: 0.6397
sub_4:Test (Best Model) - Loss: 1.6237 - Accuracy: 0.3333 - F1: 0.2705
sub_15:Test (Best Model) - Loss: 2.4243 - Accuracy: 0.2647 - F1: 0.1916
sub_5:Test (Best Model) - Loss: 1.2904 - Accuracy: 0.3382 - F1: 0.3393
sub_10:Test (Best Model) - Loss: 1.6659 - Accuracy: 0.5507 - F1: 0.5274
sub_2:Test (Best Model) - Loss: 1.3992 - Accuracy: 0.4203 - F1: 0.3598
sub_12:Test (Best Model) - Loss: 2.1940 - Accuracy: 0.2941 - F1: 0.1602
sub_8:Test (Best Model) - Loss: 1.3112 - Accuracy: 0.3824 - F1: 0.3916
sub_7:Test (Best Model) - Loss: 2.3798 - Accuracy: 0.2794 - F1: 0.1473
sub_14:Test (Best Model) - Loss: 1.2999 - Accuracy: 0.4118 - F1: 0.3233
sub_3:Test (Best Model) - Loss: 2.0274 - Accuracy: 0.5362 - F1: 0.4810
sub_6:Test (Best Model) - Loss: 1.0288 - Accuracy: 0.5072 - F1: 0.4700
sub_9:Test (Best Model) - Loss: 2.2384 - Accuracy: 0.4118 - F1: 0.3454
sub_11:Test (Best Model) - Loss: 1.5050 - Accuracy: 0.3913 - F1: 0.3247
sub_2:Test (Best Model) - Loss: 1.2367 - Accuracy: 0.4493 - F1: 0.3454
sub_13:Test (Best Model) - Loss: 1.3708 - Accuracy: 0.3529 - F1: 0.3861
sub_15:Test (Best Model) - Loss: 1.8197 - Accuracy: 0.2353 - F1: 0.1631
sub_1:Test (Best Model) - Loss: 1.2687 - Accuracy: 0.5588 - F1: 0.5465
sub_5:Test (Best Model) - Loss: 1.7616 - Accuracy: 0.3676 - F1: 0.3311
sub_4:Test (Best Model) - Loss: 1.1011 - Accuracy: 0.4058 - F1: 0.4208
sub_7:Test (Best Model) - Loss: 1.6191 - Accuracy: 0.5588 - F1: 0.5160
sub_6:Test (Best Model) - Loss: 0.9877 - Accuracy: 0.5507 - F1: 0.5548
sub_10:Test (Best Model) - Loss: 1.4828 - Accuracy: 0.4348 - F1: 0.3646
sub_4:Test (Best Model) - Loss: 1.1049 - Accuracy: 0.3768 - F1: 0.3581
sub_8:Test (Best Model) - Loss: 1.4990 - Accuracy: 0.3088 - F1: 0.2726
sub_9:Test (Best Model) - Loss: 2.3258 - Accuracy: 0.3235 - F1: 0.3041
sub_5:Test (Best Model) - Loss: 1.1680 - Accuracy: 0.4706 - F1: 0.4839
sub_3:Test (Best Model) - Loss: 2.2361 - Accuracy: 0.5942 - F1: 0.5342
sub_11:Test (Best Model) - Loss: 1.2583 - Accuracy: 0.3768 - F1: 0.3223
sub_1:Test (Best Model) - Loss: 1.7089 - Accuracy: 0.2647 - F1: 0.1820
sub_6:Test (Best Model) - Loss: 1.1576 - Accuracy: 0.3913 - F1: 0.3532
sub_14:Test (Best Model) - Loss: 2.0836 - Accuracy: 0.5000 - F1: 0.4712
sub_15:Test (Best Model) - Loss: 1.5669 - Accuracy: 0.3824 - F1: 0.3272
sub_4:Test (Best Model) - Loss: 0.8531 - Accuracy: 0.5362 - F1: 0.5507
sub_10:Test (Best Model) - Loss: 1.6655 - Accuracy: 0.4928 - F1: 0.4397
sub_1:Test (Best Model) - Loss: 0.8735 - Accuracy: 0.6176 - F1: 0.6124
sub_7:Test (Best Model) - Loss: 2.1220 - Accuracy: 0.4559 - F1: 0.4406
sub_9:Test (Best Model) - Loss: 2.1939 - Accuracy: 0.3382 - F1: 0.2934
sub_15:Test (Best Model) - Loss: 1.6875 - Accuracy: 0.4559 - F1: 0.4539
sub_3:Test (Best Model) - Loss: 1.2017 - Accuracy: 0.6522 - F1: 0.6134
sub_11:Test (Best Model) - Loss: 1.3644 - Accuracy: 0.5217 - F1: 0.5360
sub_7:Test (Best Model) - Loss: 0.9117 - Accuracy: 0.6176 - F1: 0.6187
sub_14:Test (Best Model) - Loss: 1.6253 - Accuracy: 0.5147 - F1: 0.5000
sub_10:Test (Best Model) - Loss: 0.8571 - Accuracy: 0.5942 - F1: 0.6067
sub_1:Test (Best Model) - Loss: 1.4635 - Accuracy: 0.5588 - F1: 0.5425
sub_15:Test (Best Model) - Loss: 1.4646 - Accuracy: 0.3088 - F1: 0.2699
sub_3:Test (Best Model) - Loss: 1.8569 - Accuracy: 0.4783 - F1: 0.4411
sub_10:Test (Best Model) - Loss: 0.7432 - Accuracy: 0.6957 - F1: 0.6637
sub_11:Test (Best Model) - Loss: 1.0677 - Accuracy: 0.5652 - F1: 0.5663
sub_3:Test (Best Model) - Loss: 1.5995 - Accuracy: 0.5507 - F1: 0.4886
sub_1:Test (Best Model) - Loss: 1.1811 - Accuracy: 0.6912 - F1: 0.6877
sub_19:Test (Best Model) - Loss: 1.4971 - Accuracy: 0.4853 - F1: 0.4311
sub_26:Test (Best Model) - Loss: 1.1957 - Accuracy: 0.3333 - F1: 0.3015
sub_23:Test (Best Model) - Loss: 1.3197 - Accuracy: 0.2754 - F1: 0.2320
sub_25:Test (Best Model) - Loss: 1.7693 - Accuracy: 0.3913 - F1: 0.3374
sub_24:Test (Best Model) - Loss: 0.9543 - Accuracy: 0.5882 - F1: 0.5749
sub_29:Test (Best Model) - Loss: 1.2126 - Accuracy: 0.3971 - F1: 0.3885
sub_28:Test (Best Model) - Loss: 1.2603 - Accuracy: 0.4559 - F1: 0.4172
sub_23:Test (Best Model) - Loss: 1.3043 - Accuracy: 0.2899 - F1: 0.2065
sub_18:Test (Best Model) - Loss: 0.8370 - Accuracy: 0.5072 - F1: 0.4432
sub_21:Test (Best Model) - Loss: 1.1420 - Accuracy: 0.4853 - F1: 0.4906
sub_16:Test (Best Model) - Loss: 1.3519 - Accuracy: 0.4412 - F1: 0.4385
sub_20:Test (Best Model) - Loss: 1.1593 - Accuracy: 0.4706 - F1: 0.3991
sub_22:Test (Best Model) - Loss: 1.8432 - Accuracy: 0.4706 - F1: 0.4080
sub_26:Test (Best Model) - Loss: 1.1233 - Accuracy: 0.4203 - F1: 0.4321
sub_28:Test (Best Model) - Loss: 1.4066 - Accuracy: 0.2794 - F1: 0.1329
sub_23:Test (Best Model) - Loss: 1.2672 - Accuracy: 0.3623 - F1: 0.2847
sub_27:Test (Best Model) - Loss: 0.7400 - Accuracy: 0.7101 - F1: 0.7060
sub_17:Test (Best Model) - Loss: 0.7400 - Accuracy: 0.7101 - F1: 0.7060
sub_25:Test (Best Model) - Loss: 1.6158 - Accuracy: 0.3333 - F1: 0.2519
sub_19:Test (Best Model) - Loss: 1.2542 - Accuracy: 0.4265 - F1: 0.3861
sub_28:Test (Best Model) - Loss: 1.5138 - Accuracy: 0.2941 - F1: 0.2339
sub_21:Test (Best Model) - Loss: 0.9122 - Accuracy: 0.5441 - F1: 0.5509
sub_24:Test (Best Model) - Loss: 0.8042 - Accuracy: 0.6176 - F1: 0.6007
sub_18:Test (Best Model) - Loss: 0.6914 - Accuracy: 0.6957 - F1: 0.6949
sub_20:Test (Best Model) - Loss: 1.5178 - Accuracy: 0.4118 - F1: 0.3424
sub_16:Test (Best Model) - Loss: 1.1076 - Accuracy: 0.5147 - F1: 0.4941
sub_25:Test (Best Model) - Loss: 1.9195 - Accuracy: 0.3188 - F1: 0.2236
sub_29:Test (Best Model) - Loss: 1.1024 - Accuracy: 0.5882 - F1: 0.5959
sub_26:Test (Best Model) - Loss: 2.9959 - Accuracy: 0.3043 - F1: 0.2233
sub_19:Test (Best Model) - Loss: 1.0276 - Accuracy: 0.5000 - F1: 0.4387
sub_21:Test (Best Model) - Loss: 1.1274 - Accuracy: 0.4265 - F1: 0.4038
sub_18:Test (Best Model) - Loss: 1.7866 - Accuracy: 0.3188 - F1: 0.2357
sub_24:Test (Best Model) - Loss: 1.7457 - Accuracy: 0.2941 - F1: 0.1668
sub_27:Test (Best Model) - Loss: 0.9191 - Accuracy: 0.5942 - F1: 0.5792
sub_28:Test (Best Model) - Loss: 1.4694 - Accuracy: 0.2794 - F1: 0.2251
sub_22:Test (Best Model) - Loss: 0.9298 - Accuracy: 0.5000 - F1: 0.5018
sub_17:Test (Best Model) - Loss: 0.9191 - Accuracy: 0.5942 - F1: 0.5792
sub_23:Test (Best Model) - Loss: 1.4344 - Accuracy: 0.3478 - F1: 0.3268
sub_16:Test (Best Model) - Loss: 1.0323 - Accuracy: 0.4559 - F1: 0.4288
sub_20:Test (Best Model) - Loss: 1.1487 - Accuracy: 0.4412 - F1: 0.3760
sub_25:Test (Best Model) - Loss: 1.5916 - Accuracy: 0.3623 - F1: 0.2919
sub_18:Test (Best Model) - Loss: 1.5752 - Accuracy: 0.3913 - F1: 0.3217
sub_21:Test (Best Model) - Loss: 1.1947 - Accuracy: 0.3971 - F1: 0.3817
sub_19:Test (Best Model) - Loss: 1.1032 - Accuracy: 0.4559 - F1: 0.3940
sub_29:Test (Best Model) - Loss: 1.0496 - Accuracy: 0.4559 - F1: 0.4400
sub_23:Test (Best Model) - Loss: 0.9792 - Accuracy: 0.5362 - F1: 0.4944
sub_22:Test (Best Model) - Loss: 1.0631 - Accuracy: 0.4706 - F1: 0.4261
sub_26:Test (Best Model) - Loss: 1.0093 - Accuracy: 0.5652 - F1: 0.5638
sub_20:Test (Best Model) - Loss: 1.0772 - Accuracy: 0.4265 - F1: 0.3387
sub_28:Test (Best Model) - Loss: 1.5669 - Accuracy: 0.2647 - F1: 0.2301
sub_24:Test (Best Model) - Loss: 0.8886 - Accuracy: 0.5882 - F1: 0.5874
sub_27:Test (Best Model) - Loss: 1.4450 - Accuracy: 0.3768 - F1: 0.3148
sub_17:Test (Best Model) - Loss: 1.4450 - Accuracy: 0.3768 - F1: 0.3148
sub_22:Test (Best Model) - Loss: 1.2383 - Accuracy: 0.3382 - F1: 0.2923
sub_25:Test (Best Model) - Loss: 1.2766 - Accuracy: 0.3623 - F1: 0.3206
sub_21:Test (Best Model) - Loss: 1.0372 - Accuracy: 0.5294 - F1: 0.5260
sub_16:Test (Best Model) - Loss: 1.1199 - Accuracy: 0.5441 - F1: 0.5446
sub_18:Test (Best Model) - Loss: 1.4599 - Accuracy: 0.4348 - F1: 0.3895
sub_19:Test (Best Model) - Loss: 1.3466 - Accuracy: 0.5147 - F1: 0.4178
sub_23:Test (Best Model) - Loss: 5.0994 - Accuracy: 0.2206 - F1: 0.1267
sub_29:Test (Best Model) - Loss: 1.1729 - Accuracy: 0.4118 - F1: 0.3343
sub_28:Test (Best Model) - Loss: 2.5488 - Accuracy: 0.2206 - F1: 0.2065
sub_24:Test (Best Model) - Loss: 2.1620 - Accuracy: 0.4265 - F1: 0.3476
sub_19:Test (Best Model) - Loss: 1.1296 - Accuracy: 0.6176 - F1: 0.6015
sub_26:Test (Best Model) - Loss: 0.9062 - Accuracy: 0.6232 - F1: 0.6419
sub_18:Test (Best Model) - Loss: 0.9833 - Accuracy: 0.4559 - F1: 0.4002
sub_21:Test (Best Model) - Loss: 0.8999 - Accuracy: 0.4706 - F1: 0.4308
sub_25:Test (Best Model) - Loss: 1.2849 - Accuracy: 0.3824 - F1: 0.3138
sub_20:Test (Best Model) - Loss: 0.9736 - Accuracy: 0.6029 - F1: 0.6265
sub_22:Test (Best Model) - Loss: 1.1685 - Accuracy: 0.3824 - F1: 0.3433
sub_23:Test (Best Model) - Loss: 2.4141 - Accuracy: 0.3235 - F1: 0.2172
sub_16:Test (Best Model) - Loss: 1.0731 - Accuracy: 0.5441 - F1: 0.5347
sub_29:Test (Best Model) - Loss: 1.2352 - Accuracy: 0.4118 - F1: 0.3439
sub_17:Test (Best Model) - Loss: 1.1010 - Accuracy: 0.5072 - F1: 0.3993
sub_27:Test (Best Model) - Loss: 1.1010 - Accuracy: 0.5072 - F1: 0.3993
sub_28:Test (Best Model) - Loss: 2.7294 - Accuracy: 0.1912 - F1: 0.2021
sub_21:Test (Best Model) - Loss: 1.1769 - Accuracy: 0.4559 - F1: 0.3352
sub_26:Test (Best Model) - Loss: 1.2197 - Accuracy: 0.3971 - F1: 0.2992
sub_24:Test (Best Model) - Loss: 2.2452 - Accuracy: 0.3529 - F1: 0.3075
sub_20:Test (Best Model) - Loss: 0.8121 - Accuracy: 0.6765 - F1: 0.6689
sub_16:Test (Best Model) - Loss: 1.5370 - Accuracy: 0.3824 - F1: 0.3722
sub_18:Test (Best Model) - Loss: 1.3351 - Accuracy: 0.5441 - F1: 0.5170
sub_25:Test (Best Model) - Loss: 2.1200 - Accuracy: 0.3676 - F1: 0.3604
sub_22:Test (Best Model) - Loss: 0.9016 - Accuracy: 0.5652 - F1: 0.5534
sub_29:Test (Best Model) - Loss: 1.2976 - Accuracy: 0.4853 - F1: 0.4951
sub_19:Test (Best Model) - Loss: 2.3352 - Accuracy: 0.4265 - F1: 0.4348
sub_23:Test (Best Model) - Loss: 2.3927 - Accuracy: 0.2794 - F1: 0.2118
sub_28:Test (Best Model) - Loss: 1.8936 - Accuracy: 0.2941 - F1: 0.3021
sub_17:Test (Best Model) - Loss: 0.9978 - Accuracy: 0.5797 - F1: 0.5403
sub_27:Test (Best Model) - Loss: 0.9978 - Accuracy: 0.5797 - F1: 0.5403
sub_20:Test (Best Model) - Loss: 1.9379 - Accuracy: 0.3529 - F1: 0.2523
sub_18:Test (Best Model) - Loss: 0.9654 - Accuracy: 0.5294 - F1: 0.5148
sub_21:Test (Best Model) - Loss: 1.2637 - Accuracy: 0.4559 - F1: 0.4010
sub_28:Test (Best Model) - Loss: 1.3716 - Accuracy: 0.2794 - F1: 0.1325
sub_24:Test (Best Model) - Loss: 1.3814 - Accuracy: 0.4853 - F1: 0.4789
sub_22:Test (Best Model) - Loss: 1.3091 - Accuracy: 0.4493 - F1: 0.4499
sub_19:Test (Best Model) - Loss: 1.2519 - Accuracy: 0.4706 - F1: 0.4270
sub_26:Test (Best Model) - Loss: 1.5923 - Accuracy: 0.5441 - F1: 0.4442
sub_29:Test (Best Model) - Loss: 1.7466 - Accuracy: 0.3824 - F1: 0.3123
sub_16:Test (Best Model) - Loss: 1.3152 - Accuracy: 0.4118 - F1: 0.3822
sub_25:Test (Best Model) - Loss: 1.3505 - Accuracy: 0.3088 - F1: 0.1731
sub_21:Test (Best Model) - Loss: 1.5851 - Accuracy: 0.3088 - F1: 0.1852
sub_28:Test (Best Model) - Loss: 2.5509 - Accuracy: 0.2647 - F1: 0.1047
sub_23:Test (Best Model) - Loss: 2.5432 - Accuracy: 0.4559 - F1: 0.4029
sub_18:Test (Best Model) - Loss: 1.2241 - Accuracy: 0.4412 - F1: 0.4722
sub_20:Test (Best Model) - Loss: 1.7854 - Accuracy: 0.4118 - F1: 0.3697
sub_17:Test (Best Model) - Loss: 0.8414 - Accuracy: 0.6377 - F1: 0.6527
sub_16:Test (Best Model) - Loss: 1.7071 - Accuracy: 0.4265 - F1: 0.3710
sub_26:Test (Best Model) - Loss: 1.0459 - Accuracy: 0.5882 - F1: 0.5951
sub_27:Test (Best Model) - Loss: 0.8414 - Accuracy: 0.6377 - F1: 0.6527
sub_19:Test (Best Model) - Loss: 1.3790 - Accuracy: 0.5147 - F1: 0.5466
sub_25:Test (Best Model) - Loss: 1.4588 - Accuracy: 0.3676 - F1: 0.3197
sub_29:Test (Best Model) - Loss: 1.5580 - Accuracy: 0.4118 - F1: 0.4301
sub_21:Test (Best Model) - Loss: 1.7582 - Accuracy: 0.3088 - F1: 0.2386
sub_23:Test (Best Model) - Loss: 3.1035 - Accuracy: 0.2353 - F1: 0.2362
sub_26:Test (Best Model) - Loss: 1.3559 - Accuracy: 0.3971 - F1: 0.3003
sub_22:Test (Best Model) - Loss: 1.0289 - Accuracy: 0.5797 - F1: 0.5639
sub_28:Test (Best Model) - Loss: 1.5192 - Accuracy: 0.3382 - F1: 0.3135
sub_24:Test (Best Model) - Loss: 1.4951 - Accuracy: 0.5000 - F1: 0.4547
sub_25:Test (Best Model) - Loss: 1.6915 - Accuracy: 0.2794 - F1: 0.1714
sub_16:Test (Best Model) - Loss: 1.7732 - Accuracy: 0.2647 - F1: 0.1382
sub_28:Test (Best Model) - Loss: 1.3353 - Accuracy: 0.3088 - F1: 0.2023
sub_22:Test (Best Model) - Loss: 1.4448 - Accuracy: 0.3478 - F1: 0.2568
sub_18:Test (Best Model) - Loss: 0.8876 - Accuracy: 0.5882 - F1: 0.5748
sub_17:Test (Best Model) - Loss: 1.0329 - Accuracy: 0.5362 - F1: 0.5344
sub_27:Test (Best Model) - Loss: 1.0329 - Accuracy: 0.5362 - F1: 0.5344
sub_24:Test (Best Model) - Loss: 1.4291 - Accuracy: 0.3676 - F1: 0.3309
sub_21:Test (Best Model) - Loss: 1.2668 - Accuracy: 0.4118 - F1: 0.3846
sub_23:Test (Best Model) - Loss: 2.5777 - Accuracy: 0.2464 - F1: 0.2119
sub_20:Test (Best Model) - Loss: 1.0198 - Accuracy: 0.4853 - F1: 0.4996
sub_29:Test (Best Model) - Loss: 0.9521 - Accuracy: 0.5147 - F1: 0.4914
sub_19:Test (Best Model) - Loss: 1.0695 - Accuracy: 0.4265 - F1: 0.4496
sub_22:Test (Best Model) - Loss: 1.6611 - Accuracy: 0.3333 - F1: 0.2763
sub_26:Test (Best Model) - Loss: 0.9569 - Accuracy: 0.4706 - F1: 0.4883
sub_25:Test (Best Model) - Loss: 1.1288 - Accuracy: 0.4706 - F1: 0.4359
sub_16:Test (Best Model) - Loss: 1.0243 - Accuracy: 0.5441 - F1: 0.5304
sub_17:Test (Best Model) - Loss: 0.7596 - Accuracy: 0.6232 - F1: 0.6279
sub_27:Test (Best Model) - Loss: 0.7596 - Accuracy: 0.6232 - F1: 0.6279
sub_28:Test (Best Model) - Loss: 1.5408 - Accuracy: 0.3382 - F1: 0.2528
sub_18:Test (Best Model) - Loss: 1.5016 - Accuracy: 0.4559 - F1: 0.4243
sub_19:Test (Best Model) - Loss: 1.1965 - Accuracy: 0.6029 - F1: 0.5985
sub_21:Test (Best Model) - Loss: 2.6333 - Accuracy: 0.3088 - F1: 0.2619
sub_29:Test (Best Model) - Loss: 1.0468 - Accuracy: 0.5000 - F1: 0.5066
sub_24:Test (Best Model) - Loss: 1.4259 - Accuracy: 0.5735 - F1: 0.5186
sub_25:Test (Best Model) - Loss: 2.4038 - Accuracy: 0.2647 - F1: 0.1047
sub_17:Test (Best Model) - Loss: 1.5939 - Accuracy: 0.3333 - F1: 0.2787
sub_20:Test (Best Model) - Loss: 1.1398 - Accuracy: 0.5441 - F1: 0.5407
sub_27:Test (Best Model) - Loss: 1.5939 - Accuracy: 0.3333 - F1: 0.2787
sub_23:Test (Best Model) - Loss: 5.2008 - Accuracy: 0.2609 - F1: 0.2287
sub_16:Test (Best Model) - Loss: 1.6341 - Accuracy: 0.4118 - F1: 0.3942
sub_22:Test (Best Model) - Loss: 1.4400 - Accuracy: 0.5294 - F1: 0.5048
sub_28:Test (Best Model) - Loss: 3.7597 - Accuracy: 0.2500 - F1: 0.1819
sub_26:Test (Best Model) - Loss: 1.4865 - Accuracy: 0.5882 - F1: 0.5651
sub_27:Test (Best Model) - Loss: 1.3924 - Accuracy: 0.4203 - F1: 0.3638
sub_17:Test (Best Model) - Loss: 1.3924 - Accuracy: 0.4203 - F1: 0.3638
sub_25:Test (Best Model) - Loss: 1.9434 - Accuracy: 0.2647 - F1: 0.1784
sub_21:Test (Best Model) - Loss: 1.1307 - Accuracy: 0.4559 - F1: 0.5037
sub_20:Test (Best Model) - Loss: 1.7226 - Accuracy: 0.3478 - F1: 0.3169
sub_16:Test (Best Model) - Loss: 1.3691 - Accuracy: 0.2500 - F1: 0.1344
sub_19:Test (Best Model) - Loss: 1.3885 - Accuracy: 0.2941 - F1: 0.2950
sub_29:Test (Best Model) - Loss: 0.8558 - Accuracy: 0.5942 - F1: 0.5923
sub_28:Test (Best Model) - Loss: 2.0478 - Accuracy: 0.2794 - F1: 0.2192
sub_18:Test (Best Model) - Loss: 1.6484 - Accuracy: 0.4706 - F1: 0.4118
sub_21:Test (Best Model) - Loss: 1.3279 - Accuracy: 0.3824 - F1: 0.3074
sub_25:Test (Best Model) - Loss: 2.6173 - Accuracy: 0.2794 - F1: 0.1433
sub_24:Test (Best Model) - Loss: 0.8426 - Accuracy: 0.6176 - F1: 0.6099
sub_22:Test (Best Model) - Loss: 1.3001 - Accuracy: 0.3676 - F1: 0.3677
sub_26:Test (Best Model) - Loss: 1.5851 - Accuracy: 0.2647 - F1: 0.1059
sub_16:Test (Best Model) - Loss: 1.3659 - Accuracy: 0.3824 - F1: 0.4008
sub_27:Test (Best Model) - Loss: 0.9517 - Accuracy: 0.5882 - F1: 0.5914
sub_17:Test (Best Model) - Loss: 0.9517 - Accuracy: 0.5882 - F1: 0.5914
sub_20:Test (Best Model) - Loss: 2.2092 - Accuracy: 0.2754 - F1: 0.1990
sub_18:Test (Best Model) - Loss: 0.8228 - Accuracy: 0.5441 - F1: 0.5017
sub_23:Test (Best Model) - Loss: 1.8196 - Accuracy: 0.3333 - F1: 0.2577
sub_29:Test (Best Model) - Loss: 1.0356 - Accuracy: 0.5072 - F1: 0.4785
sub_25:Test (Best Model) - Loss: 1.4251 - Accuracy: 0.2500 - F1: 0.1062
sub_19:Test (Best Model) - Loss: 1.0542 - Accuracy: 0.4265 - F1: 0.4680
sub_24:Test (Best Model) - Loss: 1.0968 - Accuracy: 0.4853 - F1: 0.4938
sub_22:Test (Best Model) - Loss: 1.0727 - Accuracy: 0.5147 - F1: 0.5209
sub_21:Test (Best Model) - Loss: 1.1967 - Accuracy: 0.4265 - F1: 0.4268
sub_20:Test (Best Model) - Loss: 1.7671 - Accuracy: 0.2754 - F1: 0.2204
sub_16:Test (Best Model) - Loss: 1.2384 - Accuracy: 0.4559 - F1: 0.4660
sub_17:Test (Best Model) - Loss: 1.7722 - Accuracy: 0.3529 - F1: 0.2816
sub_26:Test (Best Model) - Loss: 1.2108 - Accuracy: 0.5147 - F1: 0.5185
sub_27:Test (Best Model) - Loss: 1.7722 - Accuracy: 0.3529 - F1: 0.2816
sub_19:Test (Best Model) - Loss: 1.1344 - Accuracy: 0.5000 - F1: 0.4843
sub_18:Test (Best Model) - Loss: 1.8558 - Accuracy: 0.3529 - F1: 0.2487
sub_16:Test (Best Model) - Loss: 1.0857 - Accuracy: 0.4412 - F1: 0.3757
sub_23:Test (Best Model) - Loss: 2.3665 - Accuracy: 0.2899 - F1: 0.2467
sub_26:Test (Best Model) - Loss: 1.7025 - Accuracy: 0.3088 - F1: 0.1857
sub_29:Test (Best Model) - Loss: 1.2758 - Accuracy: 0.5217 - F1: 0.5510
sub_24:Test (Best Model) - Loss: 0.7939 - Accuracy: 0.6912 - F1: 0.6952
sub_20:Test (Best Model) - Loss: 1.6489 - Accuracy: 0.3043 - F1: 0.2214
sub_22:Test (Best Model) - Loss: 1.0289 - Accuracy: 0.4559 - F1: 0.4804
sub_26:Test (Best Model) - Loss: 1.5179 - Accuracy: 0.3529 - F1: 0.2441
sub_17:Test (Best Model) - Loss: 1.6785 - Accuracy: 0.3529 - F1: 0.2859
sub_27:Test (Best Model) - Loss: 1.6785 - Accuracy: 0.3529 - F1: 0.2859
sub_18:Test (Best Model) - Loss: 1.4467 - Accuracy: 0.4559 - F1: 0.4443
sub_19:Test (Best Model) - Loss: 1.1291 - Accuracy: 0.5588 - F1: 0.5630
sub_17:Test (Best Model) - Loss: 1.3751 - Accuracy: 0.3235 - F1: 0.2220
sub_27:Test (Best Model) - Loss: 1.3751 - Accuracy: 0.3235 - F1: 0.2220
sub_24:Test (Best Model) - Loss: 1.1029 - Accuracy: 0.4853 - F1: 0.4661
sub_17:Test (Best Model) - Loss: 1.2539 - Accuracy: 0.4559 - F1: 0.3406
sub_29:Test (Best Model) - Loss: 1.0444 - Accuracy: 0.4203 - F1: 0.4425
sub_27:Test (Best Model) - Loss: 1.2539 - Accuracy: 0.4559 - F1: 0.3406
sub_22:Test (Best Model) - Loss: 1.0301 - Accuracy: 0.4559 - F1: 0.4205
sub_20:Test (Best Model) - Loss: 1.0440 - Accuracy: 0.5362 - F1: 0.5472
sub_23:Test (Best Model) - Loss: 3.5845 - Accuracy: 0.4638 - F1: 0.4153
sub_24:Test (Best Model) - Loss: 1.2362 - Accuracy: 0.5735 - F1: 0.5522
sub_29:Test (Best Model) - Loss: 0.9566 - Accuracy: 0.5362 - F1: 0.5434

=== Summary Results ===

acc: 43.23 ± 7.47
F1: 39.58 ± 8.64
acc-in: 56.50 ± 7.67
F1-in: 51.98 ± 9.43
runing time: 1915.69 seconds
