lr: 0.001
sub_11:Test (Best Model) - Loss: 1.9611 - Accuracy: 0.5797 - F1: 0.5495
sub_7:Test (Best Model) - Loss: 0.1302 - Accuracy: 0.9853 - F1: 0.9842
sub_8:Test (Best Model) - Loss: 2.9796 - Accuracy: 0.5441 - F1: 0.5194
sub_12:Test (Best Model) - Loss: 2.0813 - Accuracy: 0.7059 - F1: 0.7060
sub_14:Test (Best Model) - Loss: 5.1479 - Accuracy: 0.5294 - F1: 0.4779
sub_2:Test (Best Model) - Loss: 2.3734 - Accuracy: 0.6522 - F1: 0.6515
sub_10:Test (Best Model) - Loss: 2.9234 - Accuracy: 0.4265 - F1: 0.4241
sub_5:Test (Best Model) - Loss: 5.3441 - Accuracy: 0.5735 - F1: 0.5285
sub_15:Test (Best Model) - Loss: 1.3483 - Accuracy: 0.7794 - F1: 0.7752
sub_9:Test (Best Model) - Loss: 1.3730 - Accuracy: 0.7500 - F1: 0.7603
sub_6:Test (Best Model) - Loss: 2.9290 - Accuracy: 0.6029 - F1: 0.5249
sub_7:Test (Best Model) - Loss: 0.4551 - Accuracy: 0.9265 - F1: 0.9217
sub_14:Test (Best Model) - Loss: 4.2027 - Accuracy: 0.4706 - F1: 0.3975
sub_2:Test (Best Model) - Loss: 2.5468 - Accuracy: 0.4928 - F1: 0.3240
sub_11:Test (Best Model) - Loss: 1.7993 - Accuracy: 0.6087 - F1: 0.5912
sub_4:Test (Best Model) - Loss: 3.1134 - Accuracy: 0.5652 - F1: 0.5633
sub_12:Test (Best Model) - Loss: 1.6785 - Accuracy: 0.6618 - F1: 0.6022
sub_10:Test (Best Model) - Loss: 2.8909 - Accuracy: 0.5441 - F1: 0.5300
sub_5:Test (Best Model) - Loss: 3.0273 - Accuracy: 0.4412 - F1: 0.3670
sub_3:Test (Best Model) - Loss: 6.1645 - Accuracy: 0.5147 - F1: 0.4635
sub_1:Test (Best Model) - Loss: 1.8141 - Accuracy: 0.5735 - F1: 0.5592
sub_13:Test (Best Model) - Loss: 4.5072 - Accuracy: 0.5735 - F1: 0.5252
sub_8:Test (Best Model) - Loss: 3.8879 - Accuracy: 0.5882 - F1: 0.5170
sub_7:Test (Best Model) - Loss: 1.4720 - Accuracy: 0.6324 - F1: 0.5511
sub_10:Test (Best Model) - Loss: 5.0884 - Accuracy: 0.4265 - F1: 0.4483
sub_9:Test (Best Model) - Loss: 3.7980 - Accuracy: 0.3676 - F1: 0.4246
sub_15:Test (Best Model) - Loss: 1.4855 - Accuracy: 0.7500 - F1: 0.7585
sub_1:Test (Best Model) - Loss: 2.7175 - Accuracy: 0.5000 - F1: 0.4579
sub_3:Test (Best Model) - Loss: 2.8528 - Accuracy: 0.6618 - F1: 0.5871
sub_13:Test (Best Model) - Loss: 1.7600 - Accuracy: 0.6471 - F1: 0.5825
sub_4:Test (Best Model) - Loss: 4.9893 - Accuracy: 0.5072 - F1: 0.4547
sub_14:Test (Best Model) - Loss: 7.2184 - Accuracy: 0.4559 - F1: 0.3657
sub_7:Test (Best Model) - Loss: 1.5011 - Accuracy: 0.7206 - F1: 0.6866
sub_5:Test (Best Model) - Loss: 2.4527 - Accuracy: 0.5735 - F1: 0.5285
sub_6:Test (Best Model) - Loss: 4.1524 - Accuracy: 0.4559 - F1: 0.3926
sub_11:Test (Best Model) - Loss: 2.6024 - Accuracy: 0.6812 - F1: 0.6394
sub_10:Test (Best Model) - Loss: 3.7736 - Accuracy: 0.3235 - F1: 0.3776
sub_9:Test (Best Model) - Loss: 2.1540 - Accuracy: 0.5588 - F1: 0.5404
sub_12:Test (Best Model) - Loss: 2.9280 - Accuracy: 0.5588 - F1: 0.5631
sub_2:Test (Best Model) - Loss: 1.0108 - Accuracy: 0.7971 - F1: 0.7984
sub_8:Test (Best Model) - Loss: 4.1320 - Accuracy: 0.4853 - F1: 0.4675
sub_13:Test (Best Model) - Loss: 2.0158 - Accuracy: 0.5882 - F1: 0.5354
sub_7:Test (Best Model) - Loss: 1.8655 - Accuracy: 0.6176 - F1: 0.5672
sub_5:Test (Best Model) - Loss: 7.9167 - Accuracy: 0.2059 - F1: 0.2500
sub_6:Test (Best Model) - Loss: 3.5983 - Accuracy: 0.4265 - F1: 0.3564
sub_11:Test (Best Model) - Loss: 3.3102 - Accuracy: 0.5942 - F1: 0.5358
sub_12:Test (Best Model) - Loss: 3.0082 - Accuracy: 0.6029 - F1: 0.5812
sub_15:Test (Best Model) - Loss: 3.3228 - Accuracy: 0.5882 - F1: 0.5787
sub_1:Test (Best Model) - Loss: 2.9653 - Accuracy: 0.4853 - F1: 0.4684
sub_14:Test (Best Model) - Loss: 4.9687 - Accuracy: 0.4706 - F1: 0.4085
sub_7:Test (Best Model) - Loss: 1.8522 - Accuracy: 0.6912 - F1: 0.5979
sub_10:Test (Best Model) - Loss: 5.7531 - Accuracy: 0.3529 - F1: 0.3961
sub_9:Test (Best Model) - Loss: 2.4440 - Accuracy: 0.6176 - F1: 0.5809
sub_6:Test (Best Model) - Loss: 3.8708 - Accuracy: 0.5294 - F1: 0.4901
sub_3:Test (Best Model) - Loss: 2.9689 - Accuracy: 0.4853 - F1: 0.4890
sub_13:Test (Best Model) - Loss: 1.6160 - Accuracy: 0.6176 - F1: 0.6193
sub_2:Test (Best Model) - Loss: 2.4817 - Accuracy: 0.6232 - F1: 0.5648
sub_8:Test (Best Model) - Loss: 3.1897 - Accuracy: 0.6029 - F1: 0.5622
sub_12:Test (Best Model) - Loss: 1.3892 - Accuracy: 0.6029 - F1: 0.6080
sub_4:Test (Best Model) - Loss: 1.6902 - Accuracy: 0.6812 - F1: 0.6327
sub_11:Test (Best Model) - Loss: 3.4625 - Accuracy: 0.6667 - F1: 0.5810
sub_5:Test (Best Model) - Loss: 4.1749 - Accuracy: 0.5588 - F1: 0.5060
sub_7:Test (Best Model) - Loss: 1.8976 - Accuracy: 0.6912 - F1: 0.6197
sub_14:Test (Best Model) - Loss: 6.2432 - Accuracy: 0.4706 - F1: 0.3952
sub_3:Test (Best Model) - Loss: 2.3782 - Accuracy: 0.5735 - F1: 0.5191
sub_13:Test (Best Model) - Loss: 1.5376 - Accuracy: 0.4559 - F1: 0.4096
sub_2:Test (Best Model) - Loss: 3.6493 - Accuracy: 0.4638 - F1: 0.4288
sub_1:Test (Best Model) - Loss: 3.1213 - Accuracy: 0.4559 - F1: 0.4018
sub_15:Test (Best Model) - Loss: 1.6277 - Accuracy: 0.4853 - F1: 0.5177
sub_11:Test (Best Model) - Loss: 1.0832 - Accuracy: 0.6667 - F1: 0.5889
sub_10:Test (Best Model) - Loss: 2.5266 - Accuracy: 0.6029 - F1: 0.5291
sub_5:Test (Best Model) - Loss: 0.9918 - Accuracy: 0.6324 - F1: 0.5652
sub_14:Test (Best Model) - Loss: 4.3123 - Accuracy: 0.4118 - F1: 0.4124
sub_9:Test (Best Model) - Loss: 1.5019 - Accuracy: 0.6176 - F1: 0.5918
sub_6:Test (Best Model) - Loss: 5.6555 - Accuracy: 0.4853 - F1: 0.4433
sub_8:Test (Best Model) - Loss: 2.7279 - Accuracy: 0.6029 - F1: 0.5372
sub_1:Test (Best Model) - Loss: 2.8216 - Accuracy: 0.4853 - F1: 0.4315
sub_3:Test (Best Model) - Loss: 1.5120 - Accuracy: 0.7059 - F1: 0.6939
sub_4:Test (Best Model) - Loss: 2.0973 - Accuracy: 0.6377 - F1: 0.5774
sub_12:Test (Best Model) - Loss: 1.5103 - Accuracy: 0.7681 - F1: 0.7752
sub_7:Test (Best Model) - Loss: 3.5180 - Accuracy: 0.6324 - F1: 0.5606
sub_11:Test (Best Model) - Loss: 2.3472 - Accuracy: 0.6377 - F1: 0.5842
sub_9:Test (Best Model) - Loss: 2.1682 - Accuracy: 0.5735 - F1: 0.5267
sub_5:Test (Best Model) - Loss: 0.2790 - Accuracy: 0.9412 - F1: 0.9443
sub_13:Test (Best Model) - Loss: 1.5452 - Accuracy: 0.4058 - F1: 0.2690
sub_3:Test (Best Model) - Loss: 3.9005 - Accuracy: 0.6522 - F1: 0.6024
sub_2:Test (Best Model) - Loss: 2.3900 - Accuracy: 0.7206 - F1: 0.6663
sub_4:Test (Best Model) - Loss: 3.9137 - Accuracy: 0.5507 - F1: 0.5293
sub_7:Test (Best Model) - Loss: 2.9539 - Accuracy: 0.5882 - F1: 0.5227
sub_1:Test (Best Model) - Loss: 0.6818 - Accuracy: 0.6957 - F1: 0.7131
sub_10:Test (Best Model) - Loss: 5.5976 - Accuracy: 0.3971 - F1: 0.2748
sub_11:Test (Best Model) - Loss: 1.1880 - Accuracy: 0.7101 - F1: 0.6899
sub_14:Test (Best Model) - Loss: 3.5836 - Accuracy: 0.4118 - F1: 0.3914
sub_9:Test (Best Model) - Loss: 3.4753 - Accuracy: 0.5588 - F1: 0.4696
sub_15:Test (Best Model) - Loss: 1.0332 - Accuracy: 0.8676 - F1: 0.8704
sub_8:Test (Best Model) - Loss: 2.8135 - Accuracy: 0.6912 - F1: 0.6562
sub_6:Test (Best Model) - Loss: 3.0780 - Accuracy: 0.5507 - F1: 0.5556
sub_3:Test (Best Model) - Loss: 2.2276 - Accuracy: 0.6812 - F1: 0.6199
sub_7:Test (Best Model) - Loss: 1.7390 - Accuracy: 0.7206 - F1: 0.6339
sub_1:Test (Best Model) - Loss: 1.3754 - Accuracy: 0.4638 - F1: 0.4008
sub_12:Test (Best Model) - Loss: 1.9571 - Accuracy: 0.7536 - F1: 0.7567
sub_10:Test (Best Model) - Loss: 2.9765 - Accuracy: 0.4706 - F1: 0.3734
sub_1:Test (Best Model) - Loss: 2.1247 - Accuracy: 0.5652 - F1: 0.5225
sub_5:Test (Best Model) - Loss: 1.8303 - Accuracy: 0.7353 - F1: 0.6667
sub_15:Test (Best Model) - Loss: 1.4297 - Accuracy: 0.6029 - F1: 0.5318
sub_7:Test (Best Model) - Loss: 3.1528 - Accuracy: 0.6324 - F1: 0.6200
sub_13:Test (Best Model) - Loss: 4.4644 - Accuracy: 0.4493 - F1: 0.4216
sub_9:Test (Best Model) - Loss: 3.7253 - Accuracy: 0.6618 - F1: 0.6002
sub_8:Test (Best Model) - Loss: 3.1093 - Accuracy: 0.6912 - F1: 0.6275
sub_12:Test (Best Model) - Loss: 1.5039 - Accuracy: 0.7536 - F1: 0.7297
sub_6:Test (Best Model) - Loss: 1.2204 - Accuracy: 0.5652 - F1: 0.5587
sub_4:Test (Best Model) - Loss: 1.5402 - Accuracy: 0.7681 - F1: 0.7454
sub_14:Test (Best Model) - Loss: 3.2754 - Accuracy: 0.5147 - F1: 0.5519
sub_10:Test (Best Model) - Loss: 4.2056 - Accuracy: 0.5000 - F1: 0.4145
sub_3:Test (Best Model) - Loss: 4.6085 - Accuracy: 0.6087 - F1: 0.5746
sub_11:Test (Best Model) - Loss: 1.6887 - Accuracy: 0.7826 - F1: 0.7614
sub_5:Test (Best Model) - Loss: 0.5144 - Accuracy: 0.7647 - F1: 0.7487
sub_7:Test (Best Model) - Loss: 1.8696 - Accuracy: 0.7941 - F1: 0.8008
sub_2:Test (Best Model) - Loss: 2.2979 - Accuracy: 0.5735 - F1: 0.4900
sub_6:Test (Best Model) - Loss: 2.2531 - Accuracy: 0.4348 - F1: 0.3826
sub_8:Test (Best Model) - Loss: 2.9136 - Accuracy: 0.7206 - F1: 0.6473
sub_1:Test (Best Model) - Loss: 0.9763 - Accuracy: 0.6087 - F1: 0.5195
sub_9:Test (Best Model) - Loss: 4.6092 - Accuracy: 0.5147 - F1: 0.4326
sub_4:Test (Best Model) - Loss: 0.8066 - Accuracy: 0.8986 - F1: 0.8960
sub_10:Test (Best Model) - Loss: 5.0520 - Accuracy: 0.3529 - F1: 0.3181
sub_14:Test (Best Model) - Loss: 3.5945 - Accuracy: 0.4118 - F1: 0.4225
sub_13:Test (Best Model) - Loss: 4.9168 - Accuracy: 0.5072 - F1: 0.4243
sub_12:Test (Best Model) - Loss: 1.0444 - Accuracy: 0.7971 - F1: 0.8051
sub_3:Test (Best Model) - Loss: 3.5041 - Accuracy: 0.7101 - F1: 0.6659
sub_15:Test (Best Model) - Loss: 3.2943 - Accuracy: 0.6471 - F1: 0.6037
sub_7:Test (Best Model) - Loss: 2.6269 - Accuracy: 0.6324 - F1: 0.5670
sub_5:Test (Best Model) - Loss: 2.2264 - Accuracy: 0.7353 - F1: 0.6564
sub_11:Test (Best Model) - Loss: 1.0779 - Accuracy: 0.6667 - F1: 0.6030
sub_14:Test (Best Model) - Loss: 1.1616 - Accuracy: 0.6324 - F1: 0.5674
sub_6:Test (Best Model) - Loss: 2.8056 - Accuracy: 0.6087 - F1: 0.5668
sub_2:Test (Best Model) - Loss: 1.1697 - Accuracy: 0.7794 - F1: 0.7604
sub_8:Test (Best Model) - Loss: 2.5711 - Accuracy: 0.6765 - F1: 0.6015
sub_7:Test (Best Model) - Loss: 1.0212 - Accuracy: 0.8235 - F1: 0.8152
sub_9:Test (Best Model) - Loss: 2.6567 - Accuracy: 0.6324 - F1: 0.6143
sub_4:Test (Best Model) - Loss: 0.3954 - Accuracy: 0.9275 - F1: 0.9292
sub_13:Test (Best Model) - Loss: 4.7732 - Accuracy: 0.5362 - F1: 0.4456
sub_1:Test (Best Model) - Loss: 3.4018 - Accuracy: 0.6522 - F1: 0.6374
sub_14:Test (Best Model) - Loss: 0.3121 - Accuracy: 0.8824 - F1: 0.8831
sub_3:Test (Best Model) - Loss: 3.2775 - Accuracy: 0.7101 - F1: 0.6382
sub_6:Test (Best Model) - Loss: 1.8714 - Accuracy: 0.6087 - F1: 0.5885
sub_15:Test (Best Model) - Loss: 1.5251 - Accuracy: 0.6176 - F1: 0.5485
sub_10:Test (Best Model) - Loss: 3.1451 - Accuracy: 0.6957 - F1: 0.6608
sub_12:Test (Best Model) - Loss: 1.8137 - Accuracy: 0.7101 - F1: 0.6819
sub_9:Test (Best Model) - Loss: 1.5191 - Accuracy: 0.4706 - F1: 0.3909
sub_4:Test (Best Model) - Loss: 0.6392 - Accuracy: 0.7101 - F1: 0.6608
sub_8:Test (Best Model) - Loss: 3.0591 - Accuracy: 0.7059 - F1: 0.6432
sub_5:Test (Best Model) - Loss: 2.1232 - Accuracy: 0.7353 - F1: 0.6532
sub_6:Test (Best Model) - Loss: 2.0457 - Accuracy: 0.7101 - F1: 0.6361
sub_15:Test (Best Model) - Loss: 1.2847 - Accuracy: 0.7059 - F1: 0.6205
sub_11:Test (Best Model) - Loss: 1.4939 - Accuracy: 0.7826 - F1: 0.7895
sub_13:Test (Best Model) - Loss: 2.2679 - Accuracy: 0.5797 - F1: 0.5277
sub_4:Test (Best Model) - Loss: 0.3526 - Accuracy: 0.7681 - F1: 0.7197
sub_2:Test (Best Model) - Loss: 0.9179 - Accuracy: 0.7206 - F1: 0.7086
sub_7:Test (Best Model) - Loss: 3.1574 - Accuracy: 0.7059 - F1: 0.6511
sub_14:Test (Best Model) - Loss: 1.6111 - Accuracy: 0.7647 - F1: 0.7375
sub_10:Test (Best Model) - Loss: 3.6752 - Accuracy: 0.6812 - F1: 0.5912
sub_11:Test (Best Model) - Loss: 2.8522 - Accuracy: 0.5942 - F1: 0.5937
sub_5:Test (Best Model) - Loss: 1.3875 - Accuracy: 0.7206 - F1: 0.6446
sub_1:Test (Best Model) - Loss: 2.5470 - Accuracy: 0.6912 - F1: 0.6242
sub_3:Test (Best Model) - Loss: 2.4513 - Accuracy: 0.6522 - F1: 0.6266
sub_12:Test (Best Model) - Loss: 3.4956 - Accuracy: 0.4118 - F1: 0.4172
sub_9:Test (Best Model) - Loss: 2.8839 - Accuracy: 0.6471 - F1: 0.6236
sub_13:Test (Best Model) - Loss: 5.4542 - Accuracy: 0.4853 - F1: 0.4411
sub_4:Test (Best Model) - Loss: 3.2688 - Accuracy: 0.6087 - F1: 0.5958
sub_2:Test (Best Model) - Loss: 1.7654 - Accuracy: 0.6176 - F1: 0.6313
sub_14:Test (Best Model) - Loss: 2.8536 - Accuracy: 0.5441 - F1: 0.5153
sub_8:Test (Best Model) - Loss: 4.4266 - Accuracy: 0.6176 - F1: 0.5802
sub_10:Test (Best Model) - Loss: 3.2200 - Accuracy: 0.6232 - F1: 0.5731
sub_11:Test (Best Model) - Loss: 2.6273 - Accuracy: 0.6667 - F1: 0.6564
sub_3:Test (Best Model) - Loss: 2.5340 - Accuracy: 0.5652 - F1: 0.5114
sub_12:Test (Best Model) - Loss: 1.5793 - Accuracy: 0.5588 - F1: 0.4847
sub_10:Test (Best Model) - Loss: 1.8565 - Accuracy: 0.6377 - F1: 0.5798
sub_4:Test (Best Model) - Loss: 1.8654 - Accuracy: 0.7391 - F1: 0.6667
sub_6:Test (Best Model) - Loss: 1.3404 - Accuracy: 0.6812 - F1: 0.6134
sub_9:Test (Best Model) - Loss: 5.0769 - Accuracy: 0.5441 - F1: 0.4837
sub_2:Test (Best Model) - Loss: 0.7674 - Accuracy: 0.6087 - F1: 0.5531
sub_11:Test (Best Model) - Loss: 2.6305 - Accuracy: 0.7681 - F1: 0.7449
sub_15:Test (Best Model) - Loss: 0.5975 - Accuracy: 0.8824 - F1: 0.8808
sub_8:Test (Best Model) - Loss: 3.2155 - Accuracy: 0.4559 - F1: 0.5000
sub_14:Test (Best Model) - Loss: 4.1434 - Accuracy: 0.4118 - F1: 0.3920
sub_5:Test (Best Model) - Loss: 3.6040 - Accuracy: 0.5000 - F1: 0.4390
sub_3:Test (Best Model) - Loss: 2.6245 - Accuracy: 0.7391 - F1: 0.7343
sub_11:Test (Best Model) - Loss: 1.6107 - Accuracy: 0.6812 - F1: 0.6852
sub_1:Test (Best Model) - Loss: 1.9135 - Accuracy: 0.7059 - F1: 0.6286
sub_15:Test (Best Model) - Loss: 3.4560 - Accuracy: 0.5588 - F1: 0.4810
sub_13:Test (Best Model) - Loss: 5.9117 - Accuracy: 0.4412 - F1: 0.3463
sub_4:Test (Best Model) - Loss: 0.8753 - Accuracy: 0.7391 - F1: 0.6877
sub_12:Test (Best Model) - Loss: 1.2208 - Accuracy: 0.8088 - F1: 0.8001
sub_3:Test (Best Model) - Loss: 2.6909 - Accuracy: 0.6087 - F1: 0.5908
sub_9:Test (Best Model) - Loss: 3.2679 - Accuracy: 0.6176 - F1: 0.5977
sub_8:Test (Best Model) - Loss: 3.4036 - Accuracy: 0.4265 - F1: 0.4819
sub_1:Test (Best Model) - Loss: 2.5403 - Accuracy: 0.7206 - F1: 0.6528
sub_14:Test (Best Model) - Loss: 0.6591 - Accuracy: 0.7353 - F1: 0.7279
sub_10:Test (Best Model) - Loss: 4.1368 - Accuracy: 0.4493 - F1: 0.4442
sub_6:Test (Best Model) - Loss: 1.9666 - Accuracy: 0.6377 - F1: 0.5590
sub_12:Test (Best Model) - Loss: 1.1068 - Accuracy: 0.6029 - F1: 0.5595
sub_2:Test (Best Model) - Loss: 5.2933 - Accuracy: 0.4638 - F1: 0.3170
sub_13:Test (Best Model) - Loss: 1.7561 - Accuracy: 0.5000 - F1: 0.4472
sub_3:Test (Best Model) - Loss: 2.5136 - Accuracy: 0.6522 - F1: 0.5972
sub_9:Test (Best Model) - Loss: 3.3727 - Accuracy: 0.4706 - F1: 0.4265
sub_5:Test (Best Model) - Loss: 3.0457 - Accuracy: 0.6324 - F1: 0.5590
sub_8:Test (Best Model) - Loss: 1.0973 - Accuracy: 0.6618 - F1: 0.6317
sub_6:Test (Best Model) - Loss: 2.6663 - Accuracy: 0.6812 - F1: 0.6168
sub_15:Test (Best Model) - Loss: 4.2827 - Accuracy: 0.5441 - F1: 0.4572
sub_4:Test (Best Model) - Loss: 1.4757 - Accuracy: 0.7391 - F1: 0.6667
sub_12:Test (Best Model) - Loss: 3.0629 - Accuracy: 0.6618 - F1: 0.5921
sub_6:Test (Best Model) - Loss: 2.4156 - Accuracy: 0.5652 - F1: 0.4792
sub_8:Test (Best Model) - Loss: 5.7219 - Accuracy: 0.3676 - F1: 0.4385
sub_2:Test (Best Model) - Loss: 3.8672 - Accuracy: 0.6667 - F1: 0.6122
sub_4:Test (Best Model) - Loss: 0.3645 - Accuracy: 0.7246 - F1: 0.7309
sub_13:Test (Best Model) - Loss: 2.1961 - Accuracy: 0.3088 - F1: 0.2594
sub_5:Test (Best Model) - Loss: 2.5039 - Accuracy: 0.7353 - F1: 0.6631
sub_15:Test (Best Model) - Loss: 5.6332 - Accuracy: 0.5000 - F1: 0.3929
sub_1:Test (Best Model) - Loss: 2.1548 - Accuracy: 0.7500 - F1: 0.6896
sub_2:Test (Best Model) - Loss: 1.8408 - Accuracy: 0.6522 - F1: 0.6280
sub_13:Test (Best Model) - Loss: 3.0400 - Accuracy: 0.4706 - F1: 0.3270
sub_15:Test (Best Model) - Loss: 5.7916 - Accuracy: 0.4706 - F1: 0.3750
sub_1:Test (Best Model) - Loss: 1.6367 - Accuracy: 0.7500 - F1: 0.6961
sub_2:Test (Best Model) - Loss: 2.9222 - Accuracy: 0.5217 - F1: 0.4643
sub_15:Test (Best Model) - Loss: 3.1486 - Accuracy: 0.6176 - F1: 0.5675
sub_29:Test (Best Model) - Loss: 2.1846 - Accuracy: 0.6176 - F1: 0.5922
sub_22:Test (Best Model) - Loss: 2.5650 - Accuracy: 0.5441 - F1: 0.5163
sub_17:Test (Best Model) - Loss: 0.6023 - Accuracy: 0.7246 - F1: 0.6503
sub_25:Test (Best Model) - Loss: 0.0946 - Accuracy: 0.9855 - F1: 0.9846
sub_27:Test (Best Model) - Loss: 0.6023 - Accuracy: 0.7246 - F1: 0.6503
sub_24:Test (Best Model) - Loss: 3.8898 - Accuracy: 0.6029 - F1: 0.5534
sub_18:Test (Best Model) - Loss: 2.0026 - Accuracy: 0.5217 - F1: 0.4745
sub_19:Test (Best Model) - Loss: 8.8208 - Accuracy: 0.3382 - F1: 0.2786
sub_26:Test (Best Model) - Loss: 2.2044 - Accuracy: 0.6957 - F1: 0.7026
sub_23:Test (Best Model) - Loss: 2.4332 - Accuracy: 0.6957 - F1: 0.6503
sub_29:Test (Best Model) - Loss: 2.4457 - Accuracy: 0.5735 - F1: 0.5503
sub_28:Test (Best Model) - Loss: 5.0549 - Accuracy: 0.5294 - F1: 0.4242
sub_21:Test (Best Model) - Loss: 0.3848 - Accuracy: 0.9412 - F1: 0.9398
sub_22:Test (Best Model) - Loss: 4.2947 - Accuracy: 0.5000 - F1: 0.4317
sub_16:Test (Best Model) - Loss: 2.8271 - Accuracy: 0.5882 - F1: 0.5249
sub_20:Test (Best Model) - Loss: 2.2555 - Accuracy: 0.5147 - F1: 0.4723
sub_24:Test (Best Model) - Loss: 4.8141 - Accuracy: 0.4706 - F1: 0.4458
sub_18:Test (Best Model) - Loss: 3.9204 - Accuracy: 0.5072 - F1: 0.4329
sub_17:Test (Best Model) - Loss: 1.8673 - Accuracy: 0.6957 - F1: 0.6864
sub_28:Test (Best Model) - Loss: 2.2039 - Accuracy: 0.4706 - F1: 0.3344
sub_23:Test (Best Model) - Loss: 0.9484 - Accuracy: 0.5942 - F1: 0.5532
sub_27:Test (Best Model) - Loss: 1.8673 - Accuracy: 0.6957 - F1: 0.6864
sub_25:Test (Best Model) - Loss: 0.5924 - Accuracy: 0.9275 - F1: 0.9296
sub_16:Test (Best Model) - Loss: 4.4158 - Accuracy: 0.5147 - F1: 0.4362
sub_20:Test (Best Model) - Loss: 1.8982 - Accuracy: 0.6618 - F1: 0.6331
sub_19:Test (Best Model) - Loss: 8.9258 - Accuracy: 0.2353 - F1: 0.2603
sub_24:Test (Best Model) - Loss: 3.4373 - Accuracy: 0.5735 - F1: 0.5546
sub_26:Test (Best Model) - Loss: 2.5366 - Accuracy: 0.7246 - F1: 0.7048
sub_18:Test (Best Model) - Loss: 1.5099 - Accuracy: 0.7536 - F1: 0.7622
sub_29:Test (Best Model) - Loss: 3.4946 - Accuracy: 0.6176 - F1: 0.5879
sub_25:Test (Best Model) - Loss: 0.7558 - Accuracy: 0.8696 - F1: 0.8700
sub_21:Test (Best Model) - Loss: 1.3023 - Accuracy: 0.8235 - F1: 0.8099
sub_16:Test (Best Model) - Loss: 1.2475 - Accuracy: 0.8088 - F1: 0.8161
sub_22:Test (Best Model) - Loss: 3.1154 - Accuracy: 0.5441 - F1: 0.4702
sub_19:Test (Best Model) - Loss: 6.7221 - Accuracy: 0.4265 - F1: 0.3400
sub_28:Test (Best Model) - Loss: 1.4655 - Accuracy: 0.5882 - F1: 0.5010
sub_17:Test (Best Model) - Loss: 2.5371 - Accuracy: 0.6377 - F1: 0.6408
sub_23:Test (Best Model) - Loss: 1.6912 - Accuracy: 0.7971 - F1: 0.7665
sub_16:Test (Best Model) - Loss: 4.5331 - Accuracy: 0.5588 - F1: 0.5217
sub_27:Test (Best Model) - Loss: 2.5371 - Accuracy: 0.6377 - F1: 0.6408
sub_20:Test (Best Model) - Loss: 2.2531 - Accuracy: 0.7059 - F1: 0.6555
sub_29:Test (Best Model) - Loss: 0.6691 - Accuracy: 0.6765 - F1: 0.6204
sub_24:Test (Best Model) - Loss: 3.6909 - Accuracy: 0.5735 - F1: 0.5811
sub_25:Test (Best Model) - Loss: 0.4434 - Accuracy: 0.9130 - F1: 0.9152
sub_18:Test (Best Model) - Loss: 2.5279 - Accuracy: 0.6087 - F1: 0.5854
sub_28:Test (Best Model) - Loss: 1.8414 - Accuracy: 0.4559 - F1: 0.3915
sub_26:Test (Best Model) - Loss: 1.6783 - Accuracy: 0.6667 - F1: 0.6914
sub_17:Test (Best Model) - Loss: 1.1008 - Accuracy: 0.6957 - F1: 0.6690
sub_21:Test (Best Model) - Loss: 2.4758 - Accuracy: 0.8235 - F1: 0.8254
sub_16:Test (Best Model) - Loss: 1.7145 - Accuracy: 0.8235 - F1: 0.8146
sub_22:Test (Best Model) - Loss: 4.0351 - Accuracy: 0.5441 - F1: 0.5008
sub_27:Test (Best Model) - Loss: 1.1008 - Accuracy: 0.6957 - F1: 0.6690
sub_20:Test (Best Model) - Loss: 1.9581 - Accuracy: 0.5441 - F1: 0.5110
sub_19:Test (Best Model) - Loss: 6.4221 - Accuracy: 0.4706 - F1: 0.3750
sub_23:Test (Best Model) - Loss: 0.8551 - Accuracy: 0.8986 - F1: 0.8990
sub_17:Test (Best Model) - Loss: 0.7111 - Accuracy: 0.8116 - F1: 0.8171
sub_24:Test (Best Model) - Loss: 2.3435 - Accuracy: 0.7206 - F1: 0.7165
sub_25:Test (Best Model) - Loss: 0.3381 - Accuracy: 0.9710 - F1: 0.9711
sub_27:Test (Best Model) - Loss: 0.7111 - Accuracy: 0.8116 - F1: 0.8171
sub_16:Test (Best Model) - Loss: 3.6840 - Accuracy: 0.6324 - F1: 0.6312
sub_22:Test (Best Model) - Loss: 3.4059 - Accuracy: 0.4853 - F1: 0.4288
sub_28:Test (Best Model) - Loss: 1.4350 - Accuracy: 0.4559 - F1: 0.3657
sub_19:Test (Best Model) - Loss: 6.6055 - Accuracy: 0.3235 - F1: 0.2900
sub_29:Test (Best Model) - Loss: 4.1755 - Accuracy: 0.5735 - F1: 0.5527
sub_18:Test (Best Model) - Loss: 1.2002 - Accuracy: 0.7681 - F1: 0.7652
sub_21:Test (Best Model) - Loss: 1.6922 - Accuracy: 0.7647 - F1: 0.7552
sub_26:Test (Best Model) - Loss: 2.4692 - Accuracy: 0.4928 - F1: 0.5024
sub_24:Test (Best Model) - Loss: 2.0106 - Accuracy: 0.6765 - F1: 0.5996
sub_20:Test (Best Model) - Loss: 1.6458 - Accuracy: 0.5441 - F1: 0.5206
sub_16:Test (Best Model) - Loss: 2.1074 - Accuracy: 0.6176 - F1: 0.5198
sub_17:Test (Best Model) - Loss: 2.8874 - Accuracy: 0.4638 - F1: 0.4715
sub_28:Test (Best Model) - Loss: 6.1431 - Accuracy: 0.3676 - F1: 0.2924
sub_27:Test (Best Model) - Loss: 2.8874 - Accuracy: 0.4638 - F1: 0.4715
sub_29:Test (Best Model) - Loss: 0.3779 - Accuracy: 0.7206 - F1: 0.6604
sub_18:Test (Best Model) - Loss: 2.8598 - Accuracy: 0.4265 - F1: 0.4067
sub_23:Test (Best Model) - Loss: 1.5343 - Accuracy: 0.7681 - F1: 0.7231
sub_19:Test (Best Model) - Loss: 3.2042 - Accuracy: 0.5882 - F1: 0.5386
sub_25:Test (Best Model) - Loss: 3.2699 - Accuracy: 0.6618 - F1: 0.5885
sub_21:Test (Best Model) - Loss: 1.7126 - Accuracy: 0.7206 - F1: 0.7125
sub_22:Test (Best Model) - Loss: 3.7097 - Accuracy: 0.5652 - F1: 0.5254
sub_29:Test (Best Model) - Loss: 0.5582 - Accuracy: 0.7206 - F1: 0.6509
sub_26:Test (Best Model) - Loss: 1.0476 - Accuracy: 0.5217 - F1: 0.4471
sub_23:Test (Best Model) - Loss: 3.6502 - Accuracy: 0.4559 - F1: 0.3093
sub_18:Test (Best Model) - Loss: 4.6524 - Accuracy: 0.6176 - F1: 0.5945
sub_25:Test (Best Model) - Loss: 0.6441 - Accuracy: 0.8824 - F1: 0.8868
sub_28:Test (Best Model) - Loss: 4.7905 - Accuracy: 0.4559 - F1: 0.3537
sub_29:Test (Best Model) - Loss: 0.6216 - Accuracy: 0.7500 - F1: 0.7143
sub_16:Test (Best Model) - Loss: 2.7810 - Accuracy: 0.6912 - F1: 0.6370
sub_21:Test (Best Model) - Loss: 0.4366 - Accuracy: 0.9118 - F1: 0.9100
sub_24:Test (Best Model) - Loss: 2.3690 - Accuracy: 0.7353 - F1: 0.6521
sub_20:Test (Best Model) - Loss: 1.8369 - Accuracy: 0.6765 - F1: 0.6244
sub_17:Test (Best Model) - Loss: 3.7367 - Accuracy: 0.5362 - F1: 0.5027
sub_27:Test (Best Model) - Loss: 3.7367 - Accuracy: 0.5362 - F1: 0.5027
sub_18:Test (Best Model) - Loss: 4.7964 - Accuracy: 0.4559 - F1: 0.4682
sub_22:Test (Best Model) - Loss: 3.8093 - Accuracy: 0.5797 - F1: 0.5496
sub_26:Test (Best Model) - Loss: 3.6527 - Accuracy: 0.5441 - F1: 0.5065
sub_19:Test (Best Model) - Loss: 3.0546 - Accuracy: 0.6176 - F1: 0.5880
sub_25:Test (Best Model) - Loss: 2.2687 - Accuracy: 0.6618 - F1: 0.6597
sub_23:Test (Best Model) - Loss: 8.1294 - Accuracy: 0.2500 - F1: 0.1619
sub_29:Test (Best Model) - Loss: 0.4404 - Accuracy: 0.7353 - F1: 0.6667
sub_24:Test (Best Model) - Loss: 3.2770 - Accuracy: 0.6471 - F1: 0.5743
sub_28:Test (Best Model) - Loss: 6.6393 - Accuracy: 0.3676 - F1: 0.2906
sub_26:Test (Best Model) - Loss: 3.3833 - Accuracy: 0.4412 - F1: 0.3899
sub_21:Test (Best Model) - Loss: 0.4701 - Accuracy: 0.9412 - F1: 0.9437
sub_25:Test (Best Model) - Loss: 5.4935 - Accuracy: 0.5735 - F1: 0.4862
sub_18:Test (Best Model) - Loss: 3.2499 - Accuracy: 0.5441 - F1: 0.5300
sub_20:Test (Best Model) - Loss: 3.2295 - Accuracy: 0.6324 - F1: 0.5852
sub_17:Test (Best Model) - Loss: 3.3077 - Accuracy: 0.5507 - F1: 0.5208
sub_16:Test (Best Model) - Loss: 4.1668 - Accuracy: 0.5882 - F1: 0.5574
sub_27:Test (Best Model) - Loss: 3.3077 - Accuracy: 0.5507 - F1: 0.5208
sub_21:Test (Best Model) - Loss: 0.8277 - Accuracy: 0.8824 - F1: 0.8831
sub_23:Test (Best Model) - Loss: 5.9993 - Accuracy: 0.3088 - F1: 0.2558
sub_19:Test (Best Model) - Loss: 2.6598 - Accuracy: 0.7206 - F1: 0.7101
sub_28:Test (Best Model) - Loss: 2.6909 - Accuracy: 0.3971 - F1: 0.3356
sub_25:Test (Best Model) - Loss: 4.0687 - Accuracy: 0.6029 - F1: 0.5921
sub_22:Test (Best Model) - Loss: 3.7183 - Accuracy: 0.4638 - F1: 0.3777
sub_18:Test (Best Model) - Loss: 2.4114 - Accuracy: 0.6765 - F1: 0.6188
sub_24:Test (Best Model) - Loss: 2.9976 - Accuracy: 0.6912 - F1: 0.6269
sub_26:Test (Best Model) - Loss: 3.6170 - Accuracy: 0.4118 - F1: 0.3617
sub_16:Test (Best Model) - Loss: 4.9720 - Accuracy: 0.5735 - F1: 0.5327
sub_29:Test (Best Model) - Loss: 1.8307 - Accuracy: 0.7059 - F1: 0.7174
sub_20:Test (Best Model) - Loss: 1.5251 - Accuracy: 0.5882 - F1: 0.5386
sub_25:Test (Best Model) - Loss: 2.6872 - Accuracy: 0.6471 - F1: 0.6167
sub_21:Test (Best Model) - Loss: 0.4408 - Accuracy: 0.8088 - F1: 0.7998
sub_22:Test (Best Model) - Loss: 2.5902 - Accuracy: 0.3913 - F1: 0.3166
sub_23:Test (Best Model) - Loss: 7.6245 - Accuracy: 0.3824 - F1: 0.3555
sub_19:Test (Best Model) - Loss: 1.0871 - Accuracy: 0.6765 - F1: 0.6157
sub_16:Test (Best Model) - Loss: 3.0755 - Accuracy: 0.6324 - F1: 0.5896
sub_29:Test (Best Model) - Loss: 2.7254 - Accuracy: 0.6812 - F1: 0.6239
sub_28:Test (Best Model) - Loss: 5.3987 - Accuracy: 0.4265 - F1: 0.3488
sub_17:Test (Best Model) - Loss: 2.5020 - Accuracy: 0.5652 - F1: 0.5403
sub_27:Test (Best Model) - Loss: 2.5020 - Accuracy: 0.5652 - F1: 0.5403
sub_20:Test (Best Model) - Loss: 0.7695 - Accuracy: 0.6618 - F1: 0.5889
sub_24:Test (Best Model) - Loss: 1.8922 - Accuracy: 0.7059 - F1: 0.6273
sub_25:Test (Best Model) - Loss: 3.6122 - Accuracy: 0.4853 - F1: 0.4658
sub_19:Test (Best Model) - Loss: 0.7385 - Accuracy: 0.6765 - F1: 0.6128
sub_26:Test (Best Model) - Loss: 2.3116 - Accuracy: 0.6471 - F1: 0.6196
sub_22:Test (Best Model) - Loss: 5.2254 - Accuracy: 0.4058 - F1: 0.3858
sub_18:Test (Best Model) - Loss: 3.3221 - Accuracy: 0.6471 - F1: 0.6187
sub_16:Test (Best Model) - Loss: 2.5674 - Accuracy: 0.5882 - F1: 0.5555
sub_23:Test (Best Model) - Loss: 2.6773 - Accuracy: 0.6471 - F1: 0.5736
sub_25:Test (Best Model) - Loss: 4.7077 - Accuracy: 0.6471 - F1: 0.6018
sub_19:Test (Best Model) - Loss: 3.8916 - Accuracy: 0.5000 - F1: 0.4127
sub_29:Test (Best Model) - Loss: 2.9837 - Accuracy: 0.6377 - F1: 0.6098
sub_21:Test (Best Model) - Loss: 1.7693 - Accuracy: 0.8382 - F1: 0.8154
sub_18:Test (Best Model) - Loss: 3.6802 - Accuracy: 0.6618 - F1: 0.6001
sub_22:Test (Best Model) - Loss: 3.3582 - Accuracy: 0.6176 - F1: 0.5650
sub_24:Test (Best Model) - Loss: 1.0129 - Accuracy: 0.8235 - F1: 0.8352
sub_20:Test (Best Model) - Loss: 2.2756 - Accuracy: 0.7059 - F1: 0.6223
sub_17:Test (Best Model) - Loss: 4.2110 - Accuracy: 0.4493 - F1: 0.4142
sub_28:Test (Best Model) - Loss: 6.5954 - Accuracy: 0.3382 - F1: 0.2529
sub_16:Test (Best Model) - Loss: 3.3732 - Accuracy: 0.6618 - F1: 0.6199
sub_23:Test (Best Model) - Loss: 3.6092 - Accuracy: 0.4638 - F1: 0.3681
sub_27:Test (Best Model) - Loss: 4.2110 - Accuracy: 0.4493 - F1: 0.4142
sub_19:Test (Best Model) - Loss: 2.9164 - Accuracy: 0.5882 - F1: 0.5088
sub_26:Test (Best Model) - Loss: 7.0578 - Accuracy: 0.2647 - F1: 0.2380
sub_21:Test (Best Model) - Loss: 1.2835 - Accuracy: 0.7941 - F1: 0.7926
sub_25:Test (Best Model) - Loss: 3.1566 - Accuracy: 0.6471 - F1: 0.6003
sub_20:Test (Best Model) - Loss: 2.2448 - Accuracy: 0.7101 - F1: 0.7085
sub_18:Test (Best Model) - Loss: 4.3729 - Accuracy: 0.4853 - F1: 0.4624
sub_23:Test (Best Model) - Loss: 4.6171 - Accuracy: 0.5652 - F1: 0.5253
sub_29:Test (Best Model) - Loss: 1.4576 - Accuracy: 0.6957 - F1: 0.6331
sub_21:Test (Best Model) - Loss: 1.0734 - Accuracy: 0.7500 - F1: 0.7093
sub_19:Test (Best Model) - Loss: 5.4105 - Accuracy: 0.4118 - F1: 0.3182
sub_22:Test (Best Model) - Loss: 3.8111 - Accuracy: 0.6029 - F1: 0.5907
sub_16:Test (Best Model) - Loss: 4.5060 - Accuracy: 0.5147 - F1: 0.4551
sub_17:Test (Best Model) - Loss: 2.6207 - Accuracy: 0.7059 - F1: 0.6832
sub_25:Test (Best Model) - Loss: 1.8018 - Accuracy: 0.6176 - F1: 0.6099
sub_27:Test (Best Model) - Loss: 2.6207 - Accuracy: 0.7059 - F1: 0.6832
sub_28:Test (Best Model) - Loss: 3.7307 - Accuracy: 0.3382 - F1: 0.2905
sub_24:Test (Best Model) - Loss: 2.1504 - Accuracy: 0.7059 - F1: 0.6948
sub_26:Test (Best Model) - Loss: 2.3628 - Accuracy: 0.5882 - F1: 0.5567
sub_20:Test (Best Model) - Loss: 1.3055 - Accuracy: 0.8261 - F1: 0.8323
sub_21:Test (Best Model) - Loss: 1.7478 - Accuracy: 0.7500 - F1: 0.7159
sub_19:Test (Best Model) - Loss: 5.5588 - Accuracy: 0.4118 - F1: 0.2952
sub_16:Test (Best Model) - Loss: 3.8937 - Accuracy: 0.5294 - F1: 0.5065
sub_17:Test (Best Model) - Loss: 1.4038 - Accuracy: 0.7353 - F1: 0.7221
sub_23:Test (Best Model) - Loss: 5.0110 - Accuracy: 0.4638 - F1: 0.3709
sub_27:Test (Best Model) - Loss: 1.4038 - Accuracy: 0.7353 - F1: 0.7221
sub_18:Test (Best Model) - Loss: 2.3086 - Accuracy: 0.6618 - F1: 0.5985
sub_22:Test (Best Model) - Loss: 3.7138 - Accuracy: 0.6176 - F1: 0.6107
sub_20:Test (Best Model) - Loss: 0.8336 - Accuracy: 0.7391 - F1: 0.7251
sub_17:Test (Best Model) - Loss: 2.1204 - Accuracy: 0.6029 - F1: 0.5591
sub_29:Test (Best Model) - Loss: 1.6186 - Accuracy: 0.5942 - F1: 0.5455
sub_28:Test (Best Model) - Loss: 4.5561 - Accuracy: 0.4265 - F1: 0.3793
sub_27:Test (Best Model) - Loss: 2.1204 - Accuracy: 0.6029 - F1: 0.5591
sub_24:Test (Best Model) - Loss: 2.6422 - Accuracy: 0.7353 - F1: 0.6868
sub_21:Test (Best Model) - Loss: 1.5748 - Accuracy: 0.7794 - F1: 0.7397
sub_26:Test (Best Model) - Loss: 2.1095 - Accuracy: 0.5294 - F1: 0.5106
sub_20:Test (Best Model) - Loss: 1.2153 - Accuracy: 0.7246 - F1: 0.7115
sub_23:Test (Best Model) - Loss: 3.3255 - Accuracy: 0.6232 - F1: 0.5561
sub_19:Test (Best Model) - Loss: 5.7423 - Accuracy: 0.3676 - F1: 0.3068
sub_18:Test (Best Model) - Loss: 4.3423 - Accuracy: 0.5441 - F1: 0.5063
sub_22:Test (Best Model) - Loss: 1.3249 - Accuracy: 0.7794 - F1: 0.7823
sub_26:Test (Best Model) - Loss: 2.0215 - Accuracy: 0.5294 - F1: 0.4959
sub_20:Test (Best Model) - Loss: 0.9343 - Accuracy: 0.5942 - F1: 0.5522
sub_29:Test (Best Model) - Loss: 2.1734 - Accuracy: 0.6667 - F1: 0.6009
sub_17:Test (Best Model) - Loss: 4.9075 - Accuracy: 0.4265 - F1: 0.3878
sub_23:Test (Best Model) - Loss: 4.0380 - Accuracy: 0.5217 - F1: 0.4755
sub_27:Test (Best Model) - Loss: 4.9075 - Accuracy: 0.4265 - F1: 0.3878
sub_24:Test (Best Model) - Loss: 2.5242 - Accuracy: 0.6765 - F1: 0.5967
sub_28:Test (Best Model) - Loss: 6.2546 - Accuracy: 0.4118 - F1: 0.3217
sub_21:Test (Best Model) - Loss: 1.1221 - Accuracy: 0.8824 - F1: 0.8842
sub_17:Test (Best Model) - Loss: 3.6089 - Accuracy: 0.5735 - F1: 0.5561
sub_22:Test (Best Model) - Loss: 4.8936 - Accuracy: 0.5441 - F1: 0.5362
sub_27:Test (Best Model) - Loss: 3.6089 - Accuracy: 0.5735 - F1: 0.5561
sub_28:Test (Best Model) - Loss: 2.8140 - Accuracy: 0.5000 - F1: 0.4006
sub_24:Test (Best Model) - Loss: 1.5330 - Accuracy: 0.7059 - F1: 0.7130
sub_26:Test (Best Model) - Loss: 2.1530 - Accuracy: 0.5147 - F1: 0.5322
sub_26:Test (Best Model) - Loss: 2.0513 - Accuracy: 0.3529 - F1: 0.3378

=== Summary Results ===

acc: 61.14 ± 8.15
F1: 57.18 ± 9.11
acc-in: 95.72 ± 2.49
F1-in: 95.36 ± 2.95
