lr: 0.0001
sub_2:Test (Best Model) - Loss: 1.8700 - Accuracy: 0.6232 - F1: 0.6259
sub_3:Test (Best Model) - Loss: 10.2653 - Accuracy: 0.4118 - F1: 0.2947
sub_1:Test (Best Model) - Loss: 9.6441 - Accuracy: 0.5441 - F1: 0.5732
sub_2:Test (Best Model) - Loss: 3.6541 - Accuracy: 0.4638 - F1: 0.4419
sub_1:Test (Best Model) - Loss: 9.9231 - Accuracy: 0.5000 - F1: 0.5229
sub_3:Test (Best Model) - Loss: 7.2972 - Accuracy: 0.4706 - F1: 0.4110
sub_2:Test (Best Model) - Loss: 2.5381 - Accuracy: 0.4783 - F1: 0.4727
sub_1:Test (Best Model) - Loss: 12.5157 - Accuracy: 0.5882 - F1: 0.5807
sub_2:Test (Best Model) - Loss: 2.1030 - Accuracy: 0.5942 - F1: 0.5987
sub_1:Test (Best Model) - Loss: 11.9416 - Accuracy: 0.5588 - F1: 0.5851
sub_3:Test (Best Model) - Loss: 8.2410 - Accuracy: 0.5000 - F1: 0.4502
sub_1:Test (Best Model) - Loss: 8.8063 - Accuracy: 0.5147 - F1: 0.5365
sub_2:Test (Best Model) - Loss: 1.6153 - Accuracy: 0.5072 - F1: 0.5046
sub_3:Test (Best Model) - Loss: 4.3812 - Accuracy: 0.4853 - F1: 0.4284
sub_2:Test (Best Model) - Loss: 0.8758 - Accuracy: 0.5735 - F1: 0.5746
sub_1:Test (Best Model) - Loss: 2.3101 - Accuracy: 0.4348 - F1: 0.4144
sub_3:Test (Best Model) - Loss: 5.2243 - Accuracy: 0.5000 - F1: 0.4387
sub_1:Test (Best Model) - Loss: 2.0051 - Accuracy: 0.3913 - F1: 0.3133
sub_2:Test (Best Model) - Loss: 0.8457 - Accuracy: 0.6765 - F1: 0.6586
sub_3:Test (Best Model) - Loss: 1.9273 - Accuracy: 0.5652 - F1: 0.5447
sub_1:Test (Best Model) - Loss: 1.7724 - Accuracy: 0.3913 - F1: 0.3507
sub_2:Test (Best Model) - Loss: 0.7989 - Accuracy: 0.6029 - F1: 0.6134
sub_3:Test (Best Model) - Loss: 1.8035 - Accuracy: 0.5507 - F1: 0.5293
sub_1:Test (Best Model) - Loss: 3.5297 - Accuracy: 0.3768 - F1: 0.3547
sub_2:Test (Best Model) - Loss: 0.8429 - Accuracy: 0.6471 - F1: 0.6558
sub_1:Test (Best Model) - Loss: 3.3894 - Accuracy: 0.3768 - F1: 0.3186
sub_3:Test (Best Model) - Loss: 1.9755 - Accuracy: 0.5507 - F1: 0.5198
sub_3:Test (Best Model) - Loss: 2.2625 - Accuracy: 0.5362 - F1: 0.5153
sub_2:Test (Best Model) - Loss: 1.1739 - Accuracy: 0.6029 - F1: 0.6199
sub_1:Test (Best Model) - Loss: 1.6659 - Accuracy: 0.5735 - F1: 0.5577
sub_3:Test (Best Model) - Loss: 1.9948 - Accuracy: 0.5797 - F1: 0.5576
sub_1:Test (Best Model) - Loss: 1.3953 - Accuracy: 0.6029 - F1: 0.5952
sub_2:Test (Best Model) - Loss: 2.1765 - Accuracy: 0.6232 - F1: 0.6042
sub_1:Test (Best Model) - Loss: 1.0482 - Accuracy: 0.6324 - F1: 0.6012
sub_2:Test (Best Model) - Loss: 1.7597 - Accuracy: 0.5797 - F1: 0.5484
sub_3:Test (Best Model) - Loss: 1.2710 - Accuracy: 0.6522 - F1: 0.6238
sub_2:Test (Best Model) - Loss: 1.2508 - Accuracy: 0.6232 - F1: 0.6306
sub_1:Test (Best Model) - Loss: 1.1011 - Accuracy: 0.7206 - F1: 0.6670
sub_2:Test (Best Model) - Loss: 2.1443 - Accuracy: 0.5797 - F1: 0.5755
sub_3:Test (Best Model) - Loss: 0.9899 - Accuracy: 0.7391 - F1: 0.7282
sub_1:Test (Best Model) - Loss: 0.9422 - Accuracy: 0.6618 - F1: 0.6586
sub_2:Test (Best Model) - Loss: 1.8788 - Accuracy: 0.6087 - F1: 0.5822
sub_3:Test (Best Model) - Loss: 0.9714 - Accuracy: 0.6667 - F1: 0.6460
sub_3:Test (Best Model) - Loss: 0.8369 - Accuracy: 0.7391 - F1: 0.7467
sub_3:Test (Best Model) - Loss: 1.1792 - Accuracy: 0.5362 - F1: 0.5345
sub_6:Test (Best Model) - Loss: 1.6428 - Accuracy: 0.4706 - F1: 0.4225
sub_5:Test (Best Model) - Loss: 29.5646 - Accuracy: 0.6324 - F1: 0.5913
sub_4:Test (Best Model) - Loss: 3.0765 - Accuracy: 0.5797 - F1: 0.5578
sub_6:Test (Best Model) - Loss: 1.7115 - Accuracy: 0.4706 - F1: 0.4184
sub_5:Test (Best Model) - Loss: 18.5762 - Accuracy: 0.6765 - F1: 0.6150
sub_4:Test (Best Model) - Loss: 3.1533 - Accuracy: 0.5652 - F1: 0.5555
sub_6:Test (Best Model) - Loss: 2.2255 - Accuracy: 0.5441 - F1: 0.5039
sub_4:Test (Best Model) - Loss: 1.8255 - Accuracy: 0.6522 - F1: 0.6455
sub_5:Test (Best Model) - Loss: 12.6858 - Accuracy: 0.6471 - F1: 0.5872
sub_6:Test (Best Model) - Loss: 2.9084 - Accuracy: 0.5000 - F1: 0.4459
sub_4:Test (Best Model) - Loss: 2.2643 - Accuracy: 0.5942 - F1: 0.5680
sub_6:Test (Best Model) - Loss: 1.3666 - Accuracy: 0.5000 - F1: 0.4672
sub_5:Test (Best Model) - Loss: 16.7915 - Accuracy: 0.6029 - F1: 0.5640
sub_4:Test (Best Model) - Loss: 1.7717 - Accuracy: 0.6377 - F1: 0.6397
sub_5:Test (Best Model) - Loss: 11.7078 - Accuracy: 0.5735 - F1: 0.5416
sub_4:Test (Best Model) - Loss: 0.8039 - Accuracy: 0.6667 - F1: 0.6068
sub_5:Test (Best Model) - Loss: 1.1204 - Accuracy: 0.6324 - F1: 0.5511
sub_6:Test (Best Model) - Loss: 2.7290 - Accuracy: 0.6232 - F1: 0.6483
sub_4:Test (Best Model) - Loss: 1.0083 - Accuracy: 0.7246 - F1: 0.7058
sub_6:Test (Best Model) - Loss: 1.3113 - Accuracy: 0.5652 - F1: 0.5684
sub_5:Test (Best Model) - Loss: 0.9513 - Accuracy: 0.6176 - F1: 0.5445
sub_6:Test (Best Model) - Loss: 1.3556 - Accuracy: 0.5217 - F1: 0.5293
sub_4:Test (Best Model) - Loss: 0.5519 - Accuracy: 0.7681 - F1: 0.7661
sub_4:Test (Best Model) - Loss: 0.5549 - Accuracy: 0.7536 - F1: 0.7386
sub_5:Test (Best Model) - Loss: 0.8971 - Accuracy: 0.6324 - F1: 0.5547
sub_6:Test (Best Model) - Loss: 1.5875 - Accuracy: 0.5652 - F1: 0.5644
sub_4:Test (Best Model) - Loss: 0.6093 - Accuracy: 0.7681 - F1: 0.7548
sub_5:Test (Best Model) - Loss: 0.7250 - Accuracy: 0.7794 - F1: 0.7859
sub_6:Test (Best Model) - Loss: 1.2943 - Accuracy: 0.5942 - F1: 0.5970
sub_4:Test (Best Model) - Loss: 0.8159 - Accuracy: 0.6957 - F1: 0.6285
sub_5:Test (Best Model) - Loss: 0.8379 - Accuracy: 0.7941 - F1: 0.8036
sub_6:Test (Best Model) - Loss: 1.4079 - Accuracy: 0.6957 - F1: 0.6639
sub_6:Test (Best Model) - Loss: 0.8535 - Accuracy: 0.6812 - F1: 0.6209
sub_4:Test (Best Model) - Loss: 0.8362 - Accuracy: 0.6522 - F1: 0.6010
sub_5:Test (Best Model) - Loss: 1.7921 - Accuracy: 0.6029 - F1: 0.5251
sub_6:Test (Best Model) - Loss: 0.8889 - Accuracy: 0.6667 - F1: 0.6273
sub_4:Test (Best Model) - Loss: 1.1448 - Accuracy: 0.6522 - F1: 0.6150
sub_5:Test (Best Model) - Loss: 1.1623 - Accuracy: 0.6618 - F1: 0.5818
sub_6:Test (Best Model) - Loss: 0.9472 - Accuracy: 0.6957 - F1: 0.6612
sub_4:Test (Best Model) - Loss: 1.0335 - Accuracy: 0.6377 - F1: 0.5699
sub_5:Test (Best Model) - Loss: 1.0064 - Accuracy: 0.6912 - F1: 0.6108
sub_5:Test (Best Model) - Loss: 1.2223 - Accuracy: 0.6324 - F1: 0.5585
sub_4:Test (Best Model) - Loss: 0.9231 - Accuracy: 0.6667 - F1: 0.6033
sub_6:Test (Best Model) - Loss: 1.1030 - Accuracy: 0.7101 - F1: 0.6657
sub_5:Test (Best Model) - Loss: 1.1875 - Accuracy: 0.6324 - F1: 0.5446
sub_8:Test (Best Model) - Loss: 1.3551 - Accuracy: 0.5147 - F1: 0.5002
sub_7:Test (Best Model) - Loss: 0.4829 - Accuracy: 0.8824 - F1: 0.8828
sub_9:Test (Best Model) - Loss: 1.0725 - Accuracy: 0.5000 - F1: 0.5095
sub_8:Test (Best Model) - Loss: 1.4319 - Accuracy: 0.5000 - F1: 0.4729
sub_9:Test (Best Model) - Loss: 1.8955 - Accuracy: 0.4853 - F1: 0.4873
sub_7:Test (Best Model) - Loss: 0.5057 - Accuracy: 0.8088 - F1: 0.8093
sub_9:Test (Best Model) - Loss: 1.0964 - Accuracy: 0.5441 - F1: 0.5501
sub_8:Test (Best Model) - Loss: 1.6103 - Accuracy: 0.5000 - F1: 0.4633
sub_7:Test (Best Model) - Loss: 0.5947 - Accuracy: 0.7941 - F1: 0.7948
sub_9:Test (Best Model) - Loss: 1.0581 - Accuracy: 0.4853 - F1: 0.4899
sub_9:Test (Best Model) - Loss: 1.3482 - Accuracy: 0.6029 - F1: 0.6039
sub_8:Test (Best Model) - Loss: 0.9035 - Accuracy: 0.6176 - F1: 0.6179
sub_7:Test (Best Model) - Loss: 0.6029 - Accuracy: 0.8088 - F1: 0.7991
sub_9:Test (Best Model) - Loss: 2.7508 - Accuracy: 0.4412 - F1: 0.3652
sub_7:Test (Best Model) - Loss: 0.7311 - Accuracy: 0.7500 - F1: 0.7432
sub_8:Test (Best Model) - Loss: 1.5857 - Accuracy: 0.4706 - F1: 0.4518
sub_8:Test (Best Model) - Loss: 1.2922 - Accuracy: 0.7059 - F1: 0.6885
sub_9:Test (Best Model) - Loss: 2.1533 - Accuracy: 0.4853 - F1: 0.4486
sub_7:Test (Best Model) - Loss: 2.8275 - Accuracy: 0.5000 - F1: 0.4956
sub_7:Test (Best Model) - Loss: 1.2889 - Accuracy: 0.4853 - F1: 0.4807
sub_8:Test (Best Model) - Loss: 1.1020 - Accuracy: 0.7353 - F1: 0.7285
sub_9:Test (Best Model) - Loss: 1.5234 - Accuracy: 0.4853 - F1: 0.4432
sub_8:Test (Best Model) - Loss: 1.9804 - Accuracy: 0.6471 - F1: 0.6220
sub_7:Test (Best Model) - Loss: 2.5139 - Accuracy: 0.5294 - F1: 0.5279
sub_9:Test (Best Model) - Loss: 2.3734 - Accuracy: 0.4412 - F1: 0.3629
sub_9:Test (Best Model) - Loss: 3.6138 - Accuracy: 0.4559 - F1: 0.3879
sub_7:Test (Best Model) - Loss: 1.9709 - Accuracy: 0.5588 - F1: 0.5438
sub_8:Test (Best Model) - Loss: 3.4995 - Accuracy: 0.6912 - F1: 0.6739
sub_7:Test (Best Model) - Loss: 1.6492 - Accuracy: 0.5294 - F1: 0.5179
sub_8:Test (Best Model) - Loss: 0.8418 - Accuracy: 0.7794 - F1: 0.7935
sub_7:Test (Best Model) - Loss: 1.7611 - Accuracy: 0.6912 - F1: 0.6913
sub_9:Test (Best Model) - Loss: 2.9813 - Accuracy: 0.3824 - F1: 0.3557
sub_8:Test (Best Model) - Loss: 3.7424 - Accuracy: 0.5294 - F1: 0.5508
sub_7:Test (Best Model) - Loss: 2.0186 - Accuracy: 0.5882 - F1: 0.5580
sub_9:Test (Best Model) - Loss: 1.6918 - Accuracy: 0.4706 - F1: 0.4171
sub_8:Test (Best Model) - Loss: 2.6340 - Accuracy: 0.5588 - F1: 0.5447
sub_9:Test (Best Model) - Loss: 1.1866 - Accuracy: 0.4559 - F1: 0.4136
sub_7:Test (Best Model) - Loss: 2.9181 - Accuracy: 0.8088 - F1: 0.8020
sub_8:Test (Best Model) - Loss: 5.0446 - Accuracy: 0.4706 - F1: 0.4855
sub_7:Test (Best Model) - Loss: 2.3145 - Accuracy: 0.7059 - F1: 0.7009
sub_8:Test (Best Model) - Loss: 3.3625 - Accuracy: 0.5147 - F1: 0.5323
sub_9:Test (Best Model) - Loss: 1.5157 - Accuracy: 0.4559 - F1: 0.4048
sub_7:Test (Best Model) - Loss: 2.5722 - Accuracy: 0.7353 - F1: 0.7259
sub_8:Test (Best Model) - Loss: 3.1224 - Accuracy: 0.4853 - F1: 0.5172
sub_9:Test (Best Model) - Loss: 3.0781 - Accuracy: 0.3971 - F1: 0.3761
sub_10:Test (Best Model) - Loss: 5.8687 - Accuracy: 0.4853 - F1: 0.4855
sub_12:Test (Best Model) - Loss: 2.4663 - Accuracy: 0.6324 - F1: 0.5879
sub_11:Test (Best Model) - Loss: 2.6615 - Accuracy: 0.4638 - F1: 0.4817
sub_10:Test (Best Model) - Loss: 2.1713 - Accuracy: 0.5735 - F1: 0.5785
sub_11:Test (Best Model) - Loss: 1.6405 - Accuracy: 0.5362 - F1: 0.5376
sub_12:Test (Best Model) - Loss: 0.9936 - Accuracy: 0.6912 - F1: 0.6686
sub_12:Test (Best Model) - Loss: 1.1262 - Accuracy: 0.6765 - F1: 0.6441
sub_10:Test (Best Model) - Loss: 2.5675 - Accuracy: 0.5588 - F1: 0.5465
sub_11:Test (Best Model) - Loss: 2.9665 - Accuracy: 0.5072 - F1: 0.4809
sub_12:Test (Best Model) - Loss: 1.1661 - Accuracy: 0.6324 - F1: 0.6149
sub_11:Test (Best Model) - Loss: 2.7818 - Accuracy: 0.5217 - F1: 0.4980
sub_10:Test (Best Model) - Loss: 2.4355 - Accuracy: 0.4559 - F1: 0.4614
sub_11:Test (Best Model) - Loss: 1.5293 - Accuracy: 0.5942 - F1: 0.5788
sub_12:Test (Best Model) - Loss: 1.2590 - Accuracy: 0.6176 - F1: 0.5834
sub_10:Test (Best Model) - Loss: 2.2667 - Accuracy: 0.5147 - F1: 0.5275
sub_12:Test (Best Model) - Loss: 4.6758 - Accuracy: 0.4928 - F1: 0.4813
sub_10:Test (Best Model) - Loss: 10.5306 - Accuracy: 0.6029 - F1: 0.5218
sub_11:Test (Best Model) - Loss: 1.6103 - Accuracy: 0.6232 - F1: 0.5919
sub_12:Test (Best Model) - Loss: 4.0357 - Accuracy: 0.4638 - F1: 0.4543
sub_10:Test (Best Model) - Loss: 4.3281 - Accuracy: 0.5882 - F1: 0.5438
sub_11:Test (Best Model) - Loss: 2.0291 - Accuracy: 0.5797 - F1: 0.5541
sub_12:Test (Best Model) - Loss: 2.6880 - Accuracy: 0.4348 - F1: 0.4446
sub_11:Test (Best Model) - Loss: 1.6559 - Accuracy: 0.5217 - F1: 0.5168
sub_10:Test (Best Model) - Loss: 8.5438 - Accuracy: 0.5882 - F1: 0.5485
sub_11:Test (Best Model) - Loss: 1.5755 - Accuracy: 0.4928 - F1: 0.4916
sub_12:Test (Best Model) - Loss: 2.7691 - Accuracy: 0.4203 - F1: 0.4232
sub_12:Test (Best Model) - Loss: 2.3439 - Accuracy: 0.4638 - F1: 0.4795
sub_10:Test (Best Model) - Loss: 6.7311 - Accuracy: 0.7353 - F1: 0.7181
sub_11:Test (Best Model) - Loss: 1.5030 - Accuracy: 0.5797 - F1: 0.5721
sub_12:Test (Best Model) - Loss: 1.2232 - Accuracy: 0.6618 - F1: 0.6584
sub_10:Test (Best Model) - Loss: 5.7060 - Accuracy: 0.4559 - F1: 0.3816
sub_11:Test (Best Model) - Loss: 1.1928 - Accuracy: 0.5942 - F1: 0.5774
sub_12:Test (Best Model) - Loss: 1.0022 - Accuracy: 0.5588 - F1: 0.5250
sub_10:Test (Best Model) - Loss: 1.1021 - Accuracy: 0.6957 - F1: 0.6585
sub_11:Test (Best Model) - Loss: 1.2478 - Accuracy: 0.4638 - F1: 0.4297
sub_10:Test (Best Model) - Loss: 0.9745 - Accuracy: 0.7101 - F1: 0.6582
sub_12:Test (Best Model) - Loss: 1.3334 - Accuracy: 0.5441 - F1: 0.5193
sub_11:Test (Best Model) - Loss: 1.0992 - Accuracy: 0.5362 - F1: 0.5056
sub_10:Test (Best Model) - Loss: 1.3101 - Accuracy: 0.6812 - F1: 0.6331
sub_11:Test (Best Model) - Loss: 1.3548 - Accuracy: 0.5072 - F1: 0.4936
sub_12:Test (Best Model) - Loss: 1.0883 - Accuracy: 0.6176 - F1: 0.6130
sub_11:Test (Best Model) - Loss: 1.3879 - Accuracy: 0.4783 - F1: 0.4614
sub_10:Test (Best Model) - Loss: 1.3003 - Accuracy: 0.6957 - F1: 0.6666
sub_12:Test (Best Model) - Loss: 0.9206 - Accuracy: 0.6618 - F1: 0.5988
sub_10:Test (Best Model) - Loss: 1.2739 - Accuracy: 0.6522 - F1: 0.6037
sub_13:Test (Best Model) - Loss: 1.6313 - Accuracy: 0.4706 - F1: 0.3879
sub_14:Test (Best Model) - Loss: 9.3598 - Accuracy: 0.2941 - F1: 0.2355
sub_15:Test (Best Model) - Loss: 4.3059 - Accuracy: 0.7353 - F1: 0.7450
sub_13:Test (Best Model) - Loss: 2.4197 - Accuracy: 0.3824 - F1: 0.4022
sub_15:Test (Best Model) - Loss: 4.8723 - Accuracy: 0.6912 - F1: 0.6945
sub_14:Test (Best Model) - Loss: 7.0079 - Accuracy: 0.3088 - F1: 0.2503
sub_13:Test (Best Model) - Loss: 2.4931 - Accuracy: 0.4412 - F1: 0.4444
sub_15:Test (Best Model) - Loss: 7.6747 - Accuracy: 0.6765 - F1: 0.6928
sub_14:Test (Best Model) - Loss: 9.3552 - Accuracy: 0.2059 - F1: 0.1708
sub_13:Test (Best Model) - Loss: 1.3600 - Accuracy: 0.5294 - F1: 0.4744
sub_15:Test (Best Model) - Loss: 5.4377 - Accuracy: 0.7059 - F1: 0.7099
sub_14:Test (Best Model) - Loss: 8.4943 - Accuracy: 0.2500 - F1: 0.1960
sub_13:Test (Best Model) - Loss: 1.4249 - Accuracy: 0.4118 - F1: 0.3818
sub_13:Test (Best Model) - Loss: 1.9502 - Accuracy: 0.5362 - F1: 0.5053
sub_14:Test (Best Model) - Loss: 6.0227 - Accuracy: 0.2647 - F1: 0.2091
sub_15:Test (Best Model) - Loss: 2.5901 - Accuracy: 0.6765 - F1: 0.6935
sub_13:Test (Best Model) - Loss: 1.5046 - Accuracy: 0.4638 - F1: 0.4622
sub_15:Test (Best Model) - Loss: 0.8500 - Accuracy: 0.6471 - F1: 0.6341
sub_14:Test (Best Model) - Loss: 4.7696 - Accuracy: 0.6765 - F1: 0.6291
sub_13:Test (Best Model) - Loss: 1.5944 - Accuracy: 0.4493 - F1: 0.4400
sub_14:Test (Best Model) - Loss: 1.2051 - Accuracy: 0.5441 - F1: 0.4587
sub_15:Test (Best Model) - Loss: 0.7542 - Accuracy: 0.6176 - F1: 0.6112
sub_14:Test (Best Model) - Loss: 1.8802 - Accuracy: 0.6176 - F1: 0.6077
sub_13:Test (Best Model) - Loss: 4.9938 - Accuracy: 0.5362 - F1: 0.5636
sub_15:Test (Best Model) - Loss: 0.6750 - Accuracy: 0.6912 - F1: 0.6924
sub_14:Test (Best Model) - Loss: 1.2740 - Accuracy: 0.6471 - F1: 0.6188
sub_15:Test (Best Model) - Loss: 0.7064 - Accuracy: 0.7353 - F1: 0.7364
sub_13:Test (Best Model) - Loss: 2.3407 - Accuracy: 0.5217 - F1: 0.5563
sub_14:Test (Best Model) - Loss: 2.1403 - Accuracy: 0.6912 - F1: 0.6427
sub_13:Test (Best Model) - Loss: 17.4368 - Accuracy: 0.3824 - F1: 0.3286
sub_14:Test (Best Model) - Loss: 1.0526 - Accuracy: 0.6029 - F1: 0.6133
sub_15:Test (Best Model) - Loss: 0.7092 - Accuracy: 0.6618 - F1: 0.6644
sub_13:Test (Best Model) - Loss: 31.7915 - Accuracy: 0.4118 - F1: 0.3707
sub_14:Test (Best Model) - Loss: 1.3869 - Accuracy: 0.5147 - F1: 0.5387
sub_15:Test (Best Model) - Loss: 1.9030 - Accuracy: 0.7206 - F1: 0.6709
sub_15:Test (Best Model) - Loss: 1.4197 - Accuracy: 0.6765 - F1: 0.6484
sub_13:Test (Best Model) - Loss: 30.4517 - Accuracy: 0.4706 - F1: 0.4197
sub_14:Test (Best Model) - Loss: 1.7167 - Accuracy: 0.5588 - F1: 0.5471
sub_14:Test (Best Model) - Loss: 1.4974 - Accuracy: 0.6176 - F1: 0.6044
sub_13:Test (Best Model) - Loss: 25.5168 - Accuracy: 0.4559 - F1: 0.4047
sub_14:Test (Best Model) - Loss: 1.1175 - Accuracy: 0.5735 - F1: 0.5544
sub_15:Test (Best Model) - Loss: 1.9979 - Accuracy: 0.6471 - F1: 0.5662
sub_13:Test (Best Model) - Loss: 50.4678 - Accuracy: 0.4706 - F1: 0.4167
sub_15:Test (Best Model) - Loss: 1.5340 - Accuracy: 0.6912 - F1: 0.6135
sub_15:Test (Best Model) - Loss: 1.3058 - Accuracy: 0.6912 - F1: 0.6124
sub_17:Test (Best Model) - Loss: 0.8039 - Accuracy: 0.6522 - F1: 0.6263
sub_16:Test (Best Model) - Loss: 0.9241 - Accuracy: 0.6912 - F1: 0.6861
sub_18:Test (Best Model) - Loss: 1.4815 - Accuracy: 0.7391 - F1: 0.7419
sub_17:Test (Best Model) - Loss: 0.7602 - Accuracy: 0.7101 - F1: 0.7115
sub_18:Test (Best Model) - Loss: 0.8139 - Accuracy: 0.7826 - F1: 0.7904
sub_16:Test (Best Model) - Loss: 0.9541 - Accuracy: 0.6618 - F1: 0.6612
sub_17:Test (Best Model) - Loss: 0.8147 - Accuracy: 0.6377 - F1: 0.6167
sub_16:Test (Best Model) - Loss: 0.9241 - Accuracy: 0.5882 - F1: 0.5860
sub_17:Test (Best Model) - Loss: 1.1180 - Accuracy: 0.6667 - F1: 0.6389
sub_18:Test (Best Model) - Loss: 1.1057 - Accuracy: 0.6957 - F1: 0.6910
sub_17:Test (Best Model) - Loss: 0.8870 - Accuracy: 0.6377 - F1: 0.6268
sub_16:Test (Best Model) - Loss: 0.8351 - Accuracy: 0.5882 - F1: 0.5838
sub_17:Test (Best Model) - Loss: 1.7474 - Accuracy: 0.5942 - F1: 0.6024
sub_16:Test (Best Model) - Loss: 0.7786 - Accuracy: 0.5882 - F1: 0.5788
sub_18:Test (Best Model) - Loss: 2.9674 - Accuracy: 0.5942 - F1: 0.5685
sub_17:Test (Best Model) - Loss: 1.3276 - Accuracy: 0.4638 - F1: 0.4848
sub_16:Test (Best Model) - Loss: 3.9951 - Accuracy: 0.4853 - F1: 0.4515
sub_18:Test (Best Model) - Loss: 1.2030 - Accuracy: 0.7101 - F1: 0.7124
sub_17:Test (Best Model) - Loss: 1.9889 - Accuracy: 0.5797 - F1: 0.5851
sub_16:Test (Best Model) - Loss: 3.6750 - Accuracy: 0.4412 - F1: 0.3880
sub_17:Test (Best Model) - Loss: 1.3539 - Accuracy: 0.5217 - F1: 0.5368
sub_18:Test (Best Model) - Loss: 1.6164 - Accuracy: 0.6618 - F1: 0.6515
sub_17:Test (Best Model) - Loss: 1.5049 - Accuracy: 0.5072 - F1: 0.5177
sub_16:Test (Best Model) - Loss: 4.5996 - Accuracy: 0.3676 - F1: 0.3711
sub_18:Test (Best Model) - Loss: 1.4988 - Accuracy: 0.7059 - F1: 0.7153
sub_17:Test (Best Model) - Loss: 1.7910 - Accuracy: 0.5588 - F1: 0.5338
sub_16:Test (Best Model) - Loss: 3.8249 - Accuracy: 0.3382 - F1: 0.3290
sub_18:Test (Best Model) - Loss: 1.0785 - Accuracy: 0.5882 - F1: 0.5880
sub_16:Test (Best Model) - Loss: 3.1999 - Accuracy: 0.3529 - F1: 0.3607
sub_17:Test (Best Model) - Loss: 2.4936 - Accuracy: 0.6029 - F1: 0.6128
sub_16:Test (Best Model) - Loss: 4.9562 - Accuracy: 0.4265 - F1: 0.4252
sub_18:Test (Best Model) - Loss: 1.5640 - Accuracy: 0.6471 - F1: 0.6451
sub_17:Test (Best Model) - Loss: 2.2857 - Accuracy: 0.5000 - F1: 0.5084
sub_18:Test (Best Model) - Loss: 1.3894 - Accuracy: 0.5588 - F1: 0.5040
sub_16:Test (Best Model) - Loss: 3.9690 - Accuracy: 0.2647 - F1: 0.2465
sub_17:Test (Best Model) - Loss: 1.8035 - Accuracy: 0.4265 - F1: 0.4127
sub_17:Test (Best Model) - Loss: 1.5947 - Accuracy: 0.4706 - F1: 0.4696
sub_18:Test (Best Model) - Loss: 3.1885 - Accuracy: 0.4412 - F1: 0.4296
sub_16:Test (Best Model) - Loss: 5.1205 - Accuracy: 0.3676 - F1: 0.3509
sub_18:Test (Best Model) - Loss: 3.3393 - Accuracy: 0.5000 - F1: 0.4790
sub_16:Test (Best Model) - Loss: 3.6381 - Accuracy: 0.3971 - F1: 0.3968
sub_16:Test (Best Model) - Loss: 2.8777 - Accuracy: 0.4706 - F1: 0.4479
sub_18:Test (Best Model) - Loss: 3.4351 - Accuracy: 0.4706 - F1: 0.4605
sub_18:Test (Best Model) - Loss: 3.3152 - Accuracy: 0.4412 - F1: 0.3962
sub_18:Test (Best Model) - Loss: 5.2732 - Accuracy: 0.4706 - F1: 0.4075
sub_19:Test (Best Model) - Loss: 3.1810 - Accuracy: 0.3824 - F1: 0.3426
sub_21:Test (Best Model) - Loss: 6.6251 - Accuracy: 0.3971 - F1: 0.4100
sub_20:Test (Best Model) - Loss: 1.0659 - Accuracy: 0.5588 - F1: 0.5428
sub_21:Test (Best Model) - Loss: 10.3121 - Accuracy: 0.5735 - F1: 0.5812
sub_19:Test (Best Model) - Loss: 2.5454 - Accuracy: 0.3971 - F1: 0.3814
sub_20:Test (Best Model) - Loss: 0.9919 - Accuracy: 0.5441 - F1: 0.5132
sub_20:Test (Best Model) - Loss: 1.1051 - Accuracy: 0.5588 - F1: 0.5328
sub_21:Test (Best Model) - Loss: 9.6087 - Accuracy: 0.5147 - F1: 0.5414
sub_19:Test (Best Model) - Loss: 3.2274 - Accuracy: 0.4412 - F1: 0.4423
sub_21:Test (Best Model) - Loss: 7.0101 - Accuracy: 0.4853 - F1: 0.4840
sub_19:Test (Best Model) - Loss: 1.9404 - Accuracy: 0.3676 - F1: 0.3004
sub_20:Test (Best Model) - Loss: 1.1092 - Accuracy: 0.5735 - F1: 0.5518
sub_19:Test (Best Model) - Loss: 2.4358 - Accuracy: 0.3529 - F1: 0.3188
sub_21:Test (Best Model) - Loss: 9.4628 - Accuracy: 0.5294 - F1: 0.5129
sub_20:Test (Best Model) - Loss: 1.0180 - Accuracy: 0.5000 - F1: 0.4709
sub_20:Test (Best Model) - Loss: 0.7283 - Accuracy: 0.7647 - F1: 0.7666
sub_19:Test (Best Model) - Loss: 2.5277 - Accuracy: 0.6029 - F1: 0.5782
sub_21:Test (Best Model) - Loss: 1.3367 - Accuracy: 0.6324 - F1: 0.6038
sub_21:Test (Best Model) - Loss: 2.2711 - Accuracy: 0.6471 - F1: 0.6129
sub_20:Test (Best Model) - Loss: 0.8058 - Accuracy: 0.7206 - F1: 0.7375
sub_19:Test (Best Model) - Loss: 1.1375 - Accuracy: 0.5588 - F1: 0.5510
sub_20:Test (Best Model) - Loss: 0.6821 - Accuracy: 0.7794 - F1: 0.7862
sub_19:Test (Best Model) - Loss: 1.0037 - Accuracy: 0.6324 - F1: 0.6145
sub_21:Test (Best Model) - Loss: 2.7511 - Accuracy: 0.6324 - F1: 0.6166
sub_19:Test (Best Model) - Loss: 1.0277 - Accuracy: 0.6618 - F1: 0.6345
sub_21:Test (Best Model) - Loss: 1.6218 - Accuracy: 0.6029 - F1: 0.5592
sub_20:Test (Best Model) - Loss: 1.0267 - Accuracy: 0.7059 - F1: 0.7209
sub_19:Test (Best Model) - Loss: 1.1272 - Accuracy: 0.6471 - F1: 0.6380
sub_20:Test (Best Model) - Loss: 0.8316 - Accuracy: 0.7647 - F1: 0.7751
sub_21:Test (Best Model) - Loss: 1.2877 - Accuracy: 0.7059 - F1: 0.7025
sub_19:Test (Best Model) - Loss: 2.8955 - Accuracy: 0.6176 - F1: 0.5973
sub_21:Test (Best Model) - Loss: 1.3401 - Accuracy: 0.4706 - F1: 0.4138
sub_19:Test (Best Model) - Loss: 1.9564 - Accuracy: 0.5882 - F1: 0.5768
sub_20:Test (Best Model) - Loss: 1.0707 - Accuracy: 0.6522 - F1: 0.6254
sub_19:Test (Best Model) - Loss: 2.4361 - Accuracy: 0.5294 - F1: 0.5066
sub_21:Test (Best Model) - Loss: 1.1829 - Accuracy: 0.5882 - F1: 0.5605
sub_20:Test (Best Model) - Loss: 0.8267 - Accuracy: 0.7101 - F1: 0.7102
sub_19:Test (Best Model) - Loss: 2.5509 - Accuracy: 0.6029 - F1: 0.5893
sub_21:Test (Best Model) - Loss: 1.2348 - Accuracy: 0.6324 - F1: 0.6040
sub_20:Test (Best Model) - Loss: 0.7369 - Accuracy: 0.6812 - F1: 0.6708
sub_19:Test (Best Model) - Loss: 3.8839 - Accuracy: 0.5000 - F1: 0.5313
sub_21:Test (Best Model) - Loss: 1.3607 - Accuracy: 0.5441 - F1: 0.4844
sub_20:Test (Best Model) - Loss: 0.9731 - Accuracy: 0.7391 - F1: 0.7446
sub_21:Test (Best Model) - Loss: 1.6431 - Accuracy: 0.5882 - F1: 0.5635
sub_20:Test (Best Model) - Loss: 1.0457 - Accuracy: 0.6232 - F1: 0.5861
sub_23:Test (Best Model) - Loss: 1.5583 - Accuracy: 0.5362 - F1: 0.5403
sub_22:Test (Best Model) - Loss: 2.0091 - Accuracy: 0.4559 - F1: 0.3857
sub_24:Test (Best Model) - Loss: 1.3500 - Accuracy: 0.5441 - F1: 0.5361
sub_23:Test (Best Model) - Loss: 1.0392 - Accuracy: 0.6377 - F1: 0.6521
sub_24:Test (Best Model) - Loss: 1.2786 - Accuracy: 0.5000 - F1: 0.4818
sub_23:Test (Best Model) - Loss: 1.0764 - Accuracy: 0.6087 - F1: 0.6222
sub_22:Test (Best Model) - Loss: 4.9830 - Accuracy: 0.4559 - F1: 0.3792
sub_23:Test (Best Model) - Loss: 1.1503 - Accuracy: 0.5362 - F1: 0.5469
sub_23:Test (Best Model) - Loss: 1.4521 - Accuracy: 0.6087 - F1: 0.6215
sub_24:Test (Best Model) - Loss: 2.7217 - Accuracy: 0.4559 - F1: 0.4573
sub_22:Test (Best Model) - Loss: 4.3748 - Accuracy: 0.4706 - F1: 0.4031
sub_22:Test (Best Model) - Loss: 2.2246 - Accuracy: 0.3971 - F1: 0.3224
sub_23:Test (Best Model) - Loss: 4.3213 - Accuracy: 0.3971 - F1: 0.3523
sub_24:Test (Best Model) - Loss: 1.6546 - Accuracy: 0.5000 - F1: 0.4780
sub_22:Test (Best Model) - Loss: 6.6646 - Accuracy: 0.4412 - F1: 0.3779
sub_24:Test (Best Model) - Loss: 1.1642 - Accuracy: 0.4706 - F1: 0.3919
sub_23:Test (Best Model) - Loss: 3.0203 - Accuracy: 0.2500 - F1: 0.1981
sub_23:Test (Best Model) - Loss: 1.7115 - Accuracy: 0.2647 - F1: 0.1923
sub_22:Test (Best Model) - Loss: 1.4981 - Accuracy: 0.4928 - F1: 0.4825
sub_24:Test (Best Model) - Loss: 2.7059 - Accuracy: 0.5294 - F1: 0.5436
sub_23:Test (Best Model) - Loss: 1.9093 - Accuracy: 0.3971 - F1: 0.3469
sub_22:Test (Best Model) - Loss: 1.2708 - Accuracy: 0.4203 - F1: 0.3703
sub_24:Test (Best Model) - Loss: 1.4493 - Accuracy: 0.4706 - F1: 0.4203
sub_24:Test (Best Model) - Loss: 1.3570 - Accuracy: 0.5147 - F1: 0.5068
sub_23:Test (Best Model) - Loss: 2.2280 - Accuracy: 0.4118 - F1: 0.3611
sub_22:Test (Best Model) - Loss: 1.2879 - Accuracy: 0.4058 - F1: 0.3472
sub_22:Test (Best Model) - Loss: 1.2584 - Accuracy: 0.3913 - F1: 0.3186
sub_23:Test (Best Model) - Loss: 5.7108 - Accuracy: 0.3768 - F1: 0.3248
sub_22:Test (Best Model) - Loss: 1.3116 - Accuracy: 0.4348 - F1: 0.3898
sub_24:Test (Best Model) - Loss: 2.4996 - Accuracy: 0.5441 - F1: 0.5714
sub_23:Test (Best Model) - Loss: 2.8612 - Accuracy: 0.4203 - F1: 0.3805
sub_24:Test (Best Model) - Loss: 1.4320 - Accuracy: 0.4706 - F1: 0.4532
sub_23:Test (Best Model) - Loss: 2.6102 - Accuracy: 0.4348 - F1: 0.3924
sub_22:Test (Best Model) - Loss: 8.7920 - Accuracy: 0.4853 - F1: 0.4980
sub_24:Test (Best Model) - Loss: 0.9049 - Accuracy: 0.7206 - F1: 0.7132
sub_23:Test (Best Model) - Loss: 2.2994 - Accuracy: 0.4493 - F1: 0.3964
sub_24:Test (Best Model) - Loss: 0.8745 - Accuracy: 0.6618 - F1: 0.6574
sub_22:Test (Best Model) - Loss: 2.9839 - Accuracy: 0.4412 - F1: 0.4492
sub_23:Test (Best Model) - Loss: 4.9411 - Accuracy: 0.4493 - F1: 0.3925
sub_24:Test (Best Model) - Loss: 1.0991 - Accuracy: 0.7500 - F1: 0.7553
sub_22:Test (Best Model) - Loss: 2.5135 - Accuracy: 0.5147 - F1: 0.5331
sub_24:Test (Best Model) - Loss: 0.7888 - Accuracy: 0.7941 - F1: 0.7955
sub_24:Test (Best Model) - Loss: 0.9217 - Accuracy: 0.6765 - F1: 0.6266
sub_22:Test (Best Model) - Loss: 2.8755 - Accuracy: 0.4706 - F1: 0.4858
sub_22:Test (Best Model) - Loss: 2.0470 - Accuracy: 0.5441 - F1: 0.5549
sub_26:Test (Best Model) - Loss: 1.4318 - Accuracy: 0.6667 - F1: 0.6512
sub_27:Test (Best Model) - Loss: 0.8039 - Accuracy: 0.6522 - F1: 0.6263
sub_25:Test (Best Model) - Loss: 2.2622 - Accuracy: 0.8116 - F1: 0.8132
sub_26:Test (Best Model) - Loss: 0.8922 - Accuracy: 0.6957 - F1: 0.6990
sub_25:Test (Best Model) - Loss: 1.3210 - Accuracy: 0.8116 - F1: 0.8023
sub_27:Test (Best Model) - Loss: 0.7602 - Accuracy: 0.7101 - F1: 0.7115
sub_26:Test (Best Model) - Loss: 0.9373 - Accuracy: 0.6667 - F1: 0.6657
sub_27:Test (Best Model) - Loss: 0.8147 - Accuracy: 0.6377 - F1: 0.6167
sub_25:Test (Best Model) - Loss: 1.2299 - Accuracy: 0.7681 - F1: 0.7554
sub_26:Test (Best Model) - Loss: 0.9862 - Accuracy: 0.6522 - F1: 0.6419
sub_25:Test (Best Model) - Loss: 0.8961 - Accuracy: 0.7391 - F1: 0.7221
sub_26:Test (Best Model) - Loss: 0.9212 - Accuracy: 0.6232 - F1: 0.6127
sub_27:Test (Best Model) - Loss: 1.1180 - Accuracy: 0.6667 - F1: 0.6389
sub_27:Test (Best Model) - Loss: 0.8870 - Accuracy: 0.6377 - F1: 0.6268
sub_25:Test (Best Model) - Loss: 2.4228 - Accuracy: 0.7391 - F1: 0.7284
sub_26:Test (Best Model) - Loss: 0.8201 - Accuracy: 0.6765 - F1: 0.6303
sub_25:Test (Best Model) - Loss: 0.5335 - Accuracy: 0.8088 - F1: 0.8083
sub_26:Test (Best Model) - Loss: 0.8485 - Accuracy: 0.6471 - F1: 0.6212
sub_27:Test (Best Model) - Loss: 1.7474 - Accuracy: 0.5942 - F1: 0.6024
sub_25:Test (Best Model) - Loss: 0.6001 - Accuracy: 0.8088 - F1: 0.8042
sub_26:Test (Best Model) - Loss: 0.8022 - Accuracy: 0.6471 - F1: 0.6342
sub_27:Test (Best Model) - Loss: 1.3276 - Accuracy: 0.4638 - F1: 0.4848
sub_25:Test (Best Model) - Loss: 0.4541 - Accuracy: 0.8824 - F1: 0.8829
sub_26:Test (Best Model) - Loss: 0.9702 - Accuracy: 0.5735 - F1: 0.5275
sub_27:Test (Best Model) - Loss: 1.9889 - Accuracy: 0.5797 - F1: 0.5851
sub_26:Test (Best Model) - Loss: 0.9234 - Accuracy: 0.6029 - F1: 0.5482
sub_25:Test (Best Model) - Loss: 0.6912 - Accuracy: 0.8676 - F1: 0.8674
sub_27:Test (Best Model) - Loss: 1.3539 - Accuracy: 0.5217 - F1: 0.5368
sub_26:Test (Best Model) - Loss: 1.8187 - Accuracy: 0.4853 - F1: 0.4568
sub_27:Test (Best Model) - Loss: 1.5049 - Accuracy: 0.5072 - F1: 0.5177
sub_25:Test (Best Model) - Loss: 0.5030 - Accuracy: 0.8235 - F1: 0.8246
sub_26:Test (Best Model) - Loss: 1.4188 - Accuracy: 0.6324 - F1: 0.6331
sub_27:Test (Best Model) - Loss: 1.7910 - Accuracy: 0.5588 - F1: 0.5338
sub_25:Test (Best Model) - Loss: 1.7424 - Accuracy: 0.6912 - F1: 0.6946
sub_25:Test (Best Model) - Loss: 1.0693 - Accuracy: 0.6912 - F1: 0.7007
sub_26:Test (Best Model) - Loss: 3.7486 - Accuracy: 0.5147 - F1: 0.4852
sub_27:Test (Best Model) - Loss: 2.4936 - Accuracy: 0.6029 - F1: 0.6128
sub_25:Test (Best Model) - Loss: 1.4628 - Accuracy: 0.6471 - F1: 0.6546
sub_26:Test (Best Model) - Loss: 1.1623 - Accuracy: 0.6912 - F1: 0.7005
sub_27:Test (Best Model) - Loss: 2.2857 - Accuracy: 0.5000 - F1: 0.5084
sub_27:Test (Best Model) - Loss: 1.8035 - Accuracy: 0.4265 - F1: 0.4127
sub_26:Test (Best Model) - Loss: 1.4642 - Accuracy: 0.6029 - F1: 0.6074
sub_25:Test (Best Model) - Loss: 2.5165 - Accuracy: 0.6765 - F1: 0.6740
sub_27:Test (Best Model) - Loss: 1.5947 - Accuracy: 0.4706 - F1: 0.4696
sub_25:Test (Best Model) - Loss: 1.8413 - Accuracy: 0.6912 - F1: 0.6935
sub_28:Test (Best Model) - Loss: 1.2613 - Accuracy: 0.2059 - F1: 0.1882
sub_29:Test (Best Model) - Loss: 13.1543 - Accuracy: 0.4412 - F1: 0.4590
sub_28:Test (Best Model) - Loss: 1.4038 - Accuracy: 0.2353 - F1: 0.2309
sub_29:Test (Best Model) - Loss: 17.0378 - Accuracy: 0.4853 - F1: 0.4821
sub_28:Test (Best Model) - Loss: 1.7583 - Accuracy: 0.4412 - F1: 0.3883
sub_28:Test (Best Model) - Loss: 1.3054 - Accuracy: 0.2794 - F1: 0.2824
sub_29:Test (Best Model) - Loss: 14.3580 - Accuracy: 0.5294 - F1: 0.5312
sub_28:Test (Best Model) - Loss: 1.7162 - Accuracy: 0.3676 - F1: 0.3515
sub_29:Test (Best Model) - Loss: 6.0287 - Accuracy: 0.4706 - F1: 0.4533
sub_29:Test (Best Model) - Loss: 6.6933 - Accuracy: 0.4559 - F1: 0.4270
sub_28:Test (Best Model) - Loss: 10.0062 - Accuracy: 0.2941 - F1: 0.2089
sub_29:Test (Best Model) - Loss: 0.7545 - Accuracy: 0.7353 - F1: 0.6849
sub_28:Test (Best Model) - Loss: 6.0481 - Accuracy: 0.3235 - F1: 0.2233
sub_29:Test (Best Model) - Loss: 0.6588 - Accuracy: 0.6912 - F1: 0.7063
sub_29:Test (Best Model) - Loss: 0.6734 - Accuracy: 0.7059 - F1: 0.7064
sub_28:Test (Best Model) - Loss: 4.4723 - Accuracy: 0.2941 - F1: 0.1856
sub_29:Test (Best Model) - Loss: 0.5511 - Accuracy: 0.7206 - F1: 0.6894
sub_28:Test (Best Model) - Loss: 8.4248 - Accuracy: 0.2941 - F1: 0.2121
sub_29:Test (Best Model) - Loss: 0.8493 - Accuracy: 0.7059 - F1: 0.6827
sub_28:Test (Best Model) - Loss: 6.8212 - Accuracy: 0.2500 - F1: 0.1822
sub_29:Test (Best Model) - Loss: 0.9655 - Accuracy: 0.5507 - F1: 0.5523
sub_29:Test (Best Model) - Loss: 0.7568 - Accuracy: 0.6232 - F1: 0.6050
sub_28:Test (Best Model) - Loss: 13.6591 - Accuracy: 0.3676 - F1: 0.2404
sub_28:Test (Best Model) - Loss: 3.6667 - Accuracy: 0.3382 - F1: 0.2164
sub_29:Test (Best Model) - Loss: 1.6563 - Accuracy: 0.5942 - F1: 0.5932
sub_28:Test (Best Model) - Loss: 6.9546 - Accuracy: 0.3824 - F1: 0.2563
sub_29:Test (Best Model) - Loss: 1.0763 - Accuracy: 0.6522 - F1: 0.5766
sub_29:Test (Best Model) - Loss: 1.0522 - Accuracy: 0.5942 - F1: 0.6097
sub_28:Test (Best Model) - Loss: 23.6102 - Accuracy: 0.3824 - F1: 0.2698
sub_28:Test (Best Model) - Loss: 7.8353 - Accuracy: 0.3824 - F1: 0.2911

=== Summary Results ===

acc: 56.58 ± 8.79
F1: 54.44 ± 9.67
acc-in: 71.89 ± 6.07
F1-in: 69.63 ± 6.98
runing time: 2293.95 seconds
