lr: 0.001
sub_1:Test (Best Model) - Loss: 3.2675 - Accuracy: 0.7500 - F1: 0.7229
sub_1:Test (Best Model) - Loss: 4.2360 - Accuracy: 0.6250 - F1: 0.6190
sub_1:Test (Best Model) - Loss: 6.1129 - Accuracy: 0.6250 - F1: 0.6113
sub_1:Test (Best Model) - Loss: 5.5903 - Accuracy: 0.6562 - F1: 0.6267
sub_1:Test (Best Model) - Loss: 3.5188 - Accuracy: 0.8438 - F1: 0.8303
sub_1:Test (Best Model) - Loss: 4.5644 - Accuracy: 0.7273 - F1: 0.6857
sub_1:Test (Best Model) - Loss: 1.9219 - Accuracy: 0.9394 - F1: 0.9380
sub_1:Test (Best Model) - Loss: 5.1112 - Accuracy: 0.6667 - F1: 0.5935
sub_1:Test (Best Model) - Loss: 2.1542 - Accuracy: 0.8182 - F1: 0.8096
sub_1:Test (Best Model) - Loss: 1.5160 - Accuracy: 0.8182 - F1: 0.8139
sub_1:Test (Best Model) - Loss: 5.2021 - Accuracy: 0.6250 - F1: 0.6190
sub_1:Test (Best Model) - Loss: 1.9249 - Accuracy: 0.8750 - F1: 0.8704
sub_1:Test (Best Model) - Loss: 3.2211 - Accuracy: 0.8438 - F1: 0.8303
sub_1:Test (Best Model) - Loss: 2.9501 - Accuracy: 0.9062 - F1: 0.9015
sub_1:Test (Best Model) - Loss: 2.8095 - Accuracy: 0.7812 - F1: 0.7519
sub_2:Test (Best Model) - Loss: 6.9338 - Accuracy: 0.6364 - F1: 0.6278
sub_2:Test (Best Model) - Loss: 11.0728 - Accuracy: 0.6667 - F1: 0.5935
sub_2:Test (Best Model) - Loss: 5.7253 - Accuracy: 0.7576 - F1: 0.7381
sub_2:Test (Best Model) - Loss: 4.5878 - Accuracy: 0.6667 - F1: 0.6617
sub_2:Test (Best Model) - Loss: 6.9971 - Accuracy: 0.6667 - F1: 0.5935
sub_2:Test (Best Model) - Loss: 4.6303 - Accuracy: 0.5312 - F1: 0.5077
sub_2:Test (Best Model) - Loss: 3.0743 - Accuracy: 0.6562 - F1: 0.6102
sub_2:Test (Best Model) - Loss: 3.6453 - Accuracy: 0.5938 - F1: 0.5733
sub_2:Test (Best Model) - Loss: 8.1435 - Accuracy: 0.6562 - F1: 0.5883
sub_2:Test (Best Model) - Loss: 3.0279 - Accuracy: 0.6562 - F1: 0.6102
sub_2:Test (Best Model) - Loss: 4.7804 - Accuracy: 0.6667 - F1: 0.6667
sub_2:Test (Best Model) - Loss: 6.8506 - Accuracy: 0.6364 - F1: 0.6333
sub_2:Test (Best Model) - Loss: 3.7447 - Accuracy: 0.7273 - F1: 0.7102
sub_2:Test (Best Model) - Loss: 6.0013 - Accuracy: 0.6970 - F1: 0.6944
sub_2:Test (Best Model) - Loss: 6.0998 - Accuracy: 0.6364 - F1: 0.6278
sub_3:Test (Best Model) - Loss: 10.4704 - Accuracy: 0.4375 - F1: 0.4170
sub_3:Test (Best Model) - Loss: 8.4715 - Accuracy: 0.5625 - F1: 0.5152
sub_3:Test (Best Model) - Loss: 8.8316 - Accuracy: 0.5312 - F1: 0.4684
sub_3:Test (Best Model) - Loss: 7.1970 - Accuracy: 0.4688 - F1: 0.4640
sub_3:Test (Best Model) - Loss: 8.4709 - Accuracy: 0.5312 - F1: 0.4684
sub_3:Test (Best Model) - Loss: 7.7849 - Accuracy: 0.5152 - F1: 0.4762
sub_3:Test (Best Model) - Loss: 9.6664 - Accuracy: 0.5152 - F1: 0.4762
sub_3:Test (Best Model) - Loss: 7.3418 - Accuracy: 0.5455 - F1: 0.4995
sub_3:Test (Best Model) - Loss: 6.4695 - Accuracy: 0.5455 - F1: 0.4457
sub_3:Test (Best Model) - Loss: 8.3538 - Accuracy: 0.4848 - F1: 0.4063
sub_3:Test (Best Model) - Loss: 10.7801 - Accuracy: 0.5455 - F1: 0.5387
sub_3:Test (Best Model) - Loss: 5.4409 - Accuracy: 0.5455 - F1: 0.5387
sub_3:Test (Best Model) - Loss: 8.1546 - Accuracy: 0.4545 - F1: 0.3543
sub_3:Test (Best Model) - Loss: 8.2694 - Accuracy: 0.4545 - F1: 0.3864
sub_3:Test (Best Model) - Loss: 10.8914 - Accuracy: 0.3939 - F1: 0.3452
sub_4:Test (Best Model) - Loss: 4.9595 - Accuracy: 0.7273 - F1: 0.7102
sub_4:Test (Best Model) - Loss: 4.3487 - Accuracy: 0.7273 - F1: 0.6857
sub_4:Test (Best Model) - Loss: 3.7896 - Accuracy: 0.7273 - F1: 0.7273
sub_4:Test (Best Model) - Loss: 2.6380 - Accuracy: 0.7576 - F1: 0.7574
sub_4:Test (Best Model) - Loss: 6.2640 - Accuracy: 0.7576 - F1: 0.7273
sub_4:Test (Best Model) - Loss: 2.9352 - Accuracy: 0.7273 - F1: 0.6997
sub_4:Test (Best Model) - Loss: 4.8491 - Accuracy: 0.5758 - F1: 0.5558
sub_4:Test (Best Model) - Loss: 4.6495 - Accuracy: 0.7576 - F1: 0.7273
sub_4:Test (Best Model) - Loss: 4.6338 - Accuracy: 0.6970 - F1: 0.6898
sub_4:Test (Best Model) - Loss: 5.5680 - Accuracy: 0.6364 - F1: 0.6333
sub_4:Test (Best Model) - Loss: 1.9900 - Accuracy: 0.7273 - F1: 0.6997
sub_4:Test (Best Model) - Loss: 3.2520 - Accuracy: 0.7879 - F1: 0.7664
sub_4:Test (Best Model) - Loss: 1.6297 - Accuracy: 0.6667 - F1: 0.6617
sub_4:Test (Best Model) - Loss: 8.5453 - Accuracy: 0.5758 - F1: 0.5227
sub_4:Test (Best Model) - Loss: 2.3045 - Accuracy: 0.7576 - F1: 0.7574
sub_5:Test (Best Model) - Loss: 12.5165 - Accuracy: 0.3125 - F1: 0.3098
sub_5:Test (Best Model) - Loss: 11.9339 - Accuracy: 0.5312 - F1: 0.5271
sub_5:Test (Best Model) - Loss: 10.2091 - Accuracy: 0.4688 - F1: 0.4555
sub_5:Test (Best Model) - Loss: 6.0170 - Accuracy: 0.6875 - F1: 0.6863
sub_5:Test (Best Model) - Loss: 4.8048 - Accuracy: 0.5625 - F1: 0.5466
sub_5:Test (Best Model) - Loss: 4.7398 - Accuracy: 0.6250 - F1: 0.6190
sub_5:Test (Best Model) - Loss: 5.2684 - Accuracy: 0.5938 - F1: 0.5901
sub_5:Test (Best Model) - Loss: 4.8006 - Accuracy: 0.4375 - F1: 0.4170
sub_5:Test (Best Model) - Loss: 3.5813 - Accuracy: 0.6875 - F1: 0.6667
sub_5:Test (Best Model) - Loss: 5.4131 - Accuracy: 0.6875 - F1: 0.6667
sub_5:Test (Best Model) - Loss: 5.8147 - Accuracy: 0.5625 - F1: 0.5556
sub_5:Test (Best Model) - Loss: 4.3479 - Accuracy: 0.5938 - F1: 0.5901
sub_5:Test (Best Model) - Loss: 4.8528 - Accuracy: 0.4375 - F1: 0.4353
sub_5:Test (Best Model) - Loss: 11.1445 - Accuracy: 0.4688 - F1: 0.4682
sub_5:Test (Best Model) - Loss: 5.4476 - Accuracy: 0.6250 - F1: 0.6190
sub_6:Test (Best Model) - Loss: 7.0301 - Accuracy: 0.5625 - F1: 0.5466
sub_6:Test (Best Model) - Loss: 13.9390 - Accuracy: 0.5938 - F1: 0.5836
sub_6:Test (Best Model) - Loss: 6.2310 - Accuracy: 0.5000 - F1: 0.4980
sub_6:Test (Best Model) - Loss: 6.3543 - Accuracy: 0.4062 - F1: 0.3764
sub_6:Test (Best Model) - Loss: 3.8628 - Accuracy: 0.6875 - F1: 0.6667
sub_6:Test (Best Model) - Loss: 10.8094 - Accuracy: 0.4242 - F1: 0.4242
sub_6:Test (Best Model) - Loss: 17.7527 - Accuracy: 0.4848 - F1: 0.3265
sub_6:Test (Best Model) - Loss: 10.7605 - Accuracy: 0.5152 - F1: 0.4261
sub_6:Test (Best Model) - Loss: 11.6117 - Accuracy: 0.4242 - F1: 0.3660
sub_6:Test (Best Model) - Loss: 7.1900 - Accuracy: 0.5455 - F1: 0.4995
sub_6:Test (Best Model) - Loss: 3.2163 - Accuracy: 0.5758 - F1: 0.5558
sub_6:Test (Best Model) - Loss: 3.5135 - Accuracy: 0.6667 - F1: 0.6553
sub_6:Test (Best Model) - Loss: 3.6374 - Accuracy: 0.6970 - F1: 0.6827
sub_6:Test (Best Model) - Loss: 5.9812 - Accuracy: 0.6667 - F1: 0.6654
sub_6:Test (Best Model) - Loss: 3.6262 - Accuracy: 0.7576 - F1: 0.7273
sub_7:Test (Best Model) - Loss: 6.4263 - Accuracy: 0.5938 - F1: 0.5135
sub_7:Test (Best Model) - Loss: 4.0267 - Accuracy: 0.5625 - F1: 0.5333
sub_7:Test (Best Model) - Loss: 6.8008 - Accuracy: 0.5625 - F1: 0.5333
sub_7:Test (Best Model) - Loss: 4.0950 - Accuracy: 0.6250 - F1: 0.5636
sub_7:Test (Best Model) - Loss: 7.2146 - Accuracy: 0.6562 - F1: 0.6102
sub_7:Test (Best Model) - Loss: 9.1027 - Accuracy: 0.4375 - F1: 0.4170
sub_7:Test (Best Model) - Loss: 8.1010 - Accuracy: 0.6562 - F1: 0.6102
sub_7:Test (Best Model) - Loss: 5.2087 - Accuracy: 0.6250 - F1: 0.6190
sub_7:Test (Best Model) - Loss: 8.6244 - Accuracy: 0.4688 - F1: 0.4421
sub_7:Test (Best Model) - Loss: 6.8366 - Accuracy: 0.5312 - F1: 0.5308
sub_7:Test (Best Model) - Loss: 4.5812 - Accuracy: 0.5312 - F1: 0.5195
sub_7:Test (Best Model) - Loss: 11.7240 - Accuracy: 0.5000 - F1: 0.4818
sub_7:Test (Best Model) - Loss: 10.0713 - Accuracy: 0.4688 - F1: 0.4555
sub_7:Test (Best Model) - Loss: 3.8470 - Accuracy: 0.6562 - F1: 0.6532
sub_7:Test (Best Model) - Loss: 5.3959 - Accuracy: 0.6250 - F1: 0.6235
sub_8:Test (Best Model) - Loss: 6.5461 - Accuracy: 0.5000 - F1: 0.4921
sub_8:Test (Best Model) - Loss: 10.4130 - Accuracy: 0.5938 - F1: 0.5393
sub_8:Test (Best Model) - Loss: 6.8420 - Accuracy: 0.5312 - F1: 0.5271
sub_8:Test (Best Model) - Loss: 5.1904 - Accuracy: 0.7500 - F1: 0.7229
sub_8:Test (Best Model) - Loss: 7.5811 - Accuracy: 0.6562 - F1: 0.6267
sub_8:Test (Best Model) - Loss: 3.8273 - Accuracy: 0.7812 - F1: 0.7703
sub_8:Test (Best Model) - Loss: 7.9748 - Accuracy: 0.6875 - F1: 0.6537
sub_8:Test (Best Model) - Loss: 9.3998 - Accuracy: 0.7188 - F1: 0.6811
sub_8:Test (Best Model) - Loss: 11.9815 - Accuracy: 0.5312 - F1: 0.5271
sub_8:Test (Best Model) - Loss: 4.1079 - Accuracy: 0.6875 - F1: 0.6761
sub_8:Test (Best Model) - Loss: 6.6891 - Accuracy: 0.5625 - F1: 0.5556
sub_8:Test (Best Model) - Loss: 7.6018 - Accuracy: 0.6250 - F1: 0.5000
sub_8:Test (Best Model) - Loss: 3.7133 - Accuracy: 0.6562 - F1: 0.6476
sub_8:Test (Best Model) - Loss: 2.7135 - Accuracy: 0.7812 - F1: 0.7625
sub_8:Test (Best Model) - Loss: 4.4734 - Accuracy: 0.6250 - F1: 0.6190
sub_9:Test (Best Model) - Loss: 1.5915 - Accuracy: 0.8438 - F1: 0.8359
sub_9:Test (Best Model) - Loss: 5.6403 - Accuracy: 0.8125 - F1: 0.7922
sub_9:Test (Best Model) - Loss: 0.5049 - Accuracy: 0.9375 - F1: 0.9352
sub_9:Test (Best Model) - Loss: 1.6425 - Accuracy: 0.8438 - F1: 0.8359
sub_9:Test (Best Model) - Loss: 3.7734 - Accuracy: 0.8750 - F1: 0.8667
sub_9:Test (Best Model) - Loss: 6.3908 - Accuracy: 0.6875 - F1: 0.6825
sub_9:Test (Best Model) - Loss: 5.9799 - Accuracy: 0.6875 - F1: 0.6825
sub_9:Test (Best Model) - Loss: 6.6246 - Accuracy: 0.7188 - F1: 0.6946
sub_9:Test (Best Model) - Loss: 10.4856 - Accuracy: 0.7188 - F1: 0.7185
sub_9:Test (Best Model) - Loss: 2.0304 - Accuracy: 0.7188 - F1: 0.7163
sub_9:Test (Best Model) - Loss: 3.2499 - Accuracy: 0.7812 - F1: 0.7810
sub_9:Test (Best Model) - Loss: 7.7563 - Accuracy: 0.6875 - F1: 0.6825
sub_9:Test (Best Model) - Loss: 2.8946 - Accuracy: 0.7812 - F1: 0.7519
sub_9:Test (Best Model) - Loss: 1.6694 - Accuracy: 0.9375 - F1: 0.9365
sub_9:Test (Best Model) - Loss: 2.3942 - Accuracy: 0.8438 - F1: 0.8359
sub_10:Test (Best Model) - Loss: 7.3432 - Accuracy: 0.3750 - F1: 0.3651
sub_10:Test (Best Model) - Loss: 5.5293 - Accuracy: 0.7812 - F1: 0.7625
sub_10:Test (Best Model) - Loss: 5.6819 - Accuracy: 0.5000 - F1: 0.4182
sub_10:Test (Best Model) - Loss: 5.9676 - Accuracy: 0.5312 - F1: 0.4910
sub_10:Test (Best Model) - Loss: 7.6391 - Accuracy: 0.5938 - F1: 0.5135
sub_10:Test (Best Model) - Loss: 10.0756 - Accuracy: 0.5312 - F1: 0.5271
sub_10:Test (Best Model) - Loss: 8.5636 - Accuracy: 0.5938 - F1: 0.5393
sub_10:Test (Best Model) - Loss: 7.1543 - Accuracy: 0.5312 - F1: 0.5308
sub_10:Test (Best Model) - Loss: 7.7442 - Accuracy: 0.5625 - F1: 0.4909
sub_10:Test (Best Model) - Loss: 7.8508 - Accuracy: 0.4688 - F1: 0.4640
sub_10:Test (Best Model) - Loss: 4.6004 - Accuracy: 0.6061 - F1: 0.6061
sub_10:Test (Best Model) - Loss: 10.2936 - Accuracy: 0.5152 - F1: 0.5111
sub_10:Test (Best Model) - Loss: 4.6239 - Accuracy: 0.5758 - F1: 0.5558
sub_10:Test (Best Model) - Loss: 5.9451 - Accuracy: 0.6061 - F1: 0.5815
sub_10:Test (Best Model) - Loss: 5.8942 - Accuracy: 0.6364 - F1: 0.6278
sub_11:Test (Best Model) - Loss: 11.4806 - Accuracy: 0.4848 - F1: 0.4672
sub_11:Test (Best Model) - Loss: 10.0542 - Accuracy: 0.3939 - F1: 0.3934
sub_11:Test (Best Model) - Loss: 14.4331 - Accuracy: 0.4242 - F1: 0.3883
sub_11:Test (Best Model) - Loss: 9.6766 - Accuracy: 0.4545 - F1: 0.4417
sub_11:Test (Best Model) - Loss: 11.7931 - Accuracy: 0.4545 - F1: 0.4107
sub_11:Test (Best Model) - Loss: 4.6783 - Accuracy: 0.5758 - F1: 0.4978
sub_11:Test (Best Model) - Loss: 7.1022 - Accuracy: 0.5152 - F1: 0.3400
sub_11:Test (Best Model) - Loss: 6.2609 - Accuracy: 0.5455 - F1: 0.4995
sub_11:Test (Best Model) - Loss: 8.4167 - Accuracy: 0.5455 - F1: 0.4457
sub_11:Test (Best Model) - Loss: 6.7970 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 6.6983 - Accuracy: 0.5758 - F1: 0.5658
sub_11:Test (Best Model) - Loss: 7.3920 - Accuracy: 0.5758 - F1: 0.4653
sub_11:Test (Best Model) - Loss: 6.2651 - Accuracy: 0.5758 - F1: 0.5227
sub_11:Test (Best Model) - Loss: 3.4238 - Accuracy: 0.6061 - F1: 0.6002
sub_11:Test (Best Model) - Loss: 4.8913 - Accuracy: 0.6061 - F1: 0.5196
sub_12:Test (Best Model) - Loss: 5.9773 - Accuracy: 0.6875 - F1: 0.6537
sub_12:Test (Best Model) - Loss: 4.0804 - Accuracy: 0.6875 - F1: 0.6537
sub_12:Test (Best Model) - Loss: 4.7872 - Accuracy: 0.6875 - F1: 0.6667
sub_12:Test (Best Model) - Loss: 7.7100 - Accuracy: 0.6875 - F1: 0.6135
sub_12:Test (Best Model) - Loss: 8.1682 - Accuracy: 0.7188 - F1: 0.6632
sub_12:Test (Best Model) - Loss: 5.8219 - Accuracy: 0.6970 - F1: 0.6726
sub_12:Test (Best Model) - Loss: 3.1452 - Accuracy: 0.7576 - F1: 0.7273
sub_12:Test (Best Model) - Loss: 2.0729 - Accuracy: 0.7879 - F1: 0.7664
sub_12:Test (Best Model) - Loss: 3.6982 - Accuracy: 0.8485 - F1: 0.8390
sub_12:Test (Best Model) - Loss: 1.3864 - Accuracy: 0.8485 - F1: 0.8433
sub_12:Test (Best Model) - Loss: 5.2129 - Accuracy: 0.7812 - F1: 0.7810
sub_12:Test (Best Model) - Loss: 5.6542 - Accuracy: 0.7188 - F1: 0.7117
sub_12:Test (Best Model) - Loss: 8.6255 - Accuracy: 0.7500 - F1: 0.7229
sub_12:Test (Best Model) - Loss: 9.5522 - Accuracy: 0.5000 - F1: 0.4980
sub_12:Test (Best Model) - Loss: 6.1197 - Accuracy: 0.6250 - F1: 0.6000
sub_13:Test (Best Model) - Loss: 1.3099 - Accuracy: 0.8750 - F1: 0.8667
sub_13:Test (Best Model) - Loss: 2.2054 - Accuracy: 0.8438 - F1: 0.8359
sub_13:Test (Best Model) - Loss: 0.8863 - Accuracy: 0.9375 - F1: 0.9352
sub_13:Test (Best Model) - Loss: 3.0311 - Accuracy: 0.8125 - F1: 0.8000
sub_13:Test (Best Model) - Loss: 0.3703 - Accuracy: 0.9375 - F1: 0.9352
sub_13:Test (Best Model) - Loss: 5.3608 - Accuracy: 0.7273 - F1: 0.6857
sub_13:Test (Best Model) - Loss: 1.5029 - Accuracy: 0.7879 - F1: 0.7746
sub_13:Test (Best Model) - Loss: 0.8495 - Accuracy: 0.9091 - F1: 0.9088
sub_13:Test (Best Model) - Loss: 1.3344 - Accuracy: 0.8182 - F1: 0.8139
sub_13:Test (Best Model) - Loss: 3.8080 - Accuracy: 0.7879 - F1: 0.7746
sub_13:Test (Best Model) - Loss: 0.2961 - Accuracy: 0.9062 - F1: 0.9015
sub_13:Test (Best Model) - Loss: 11.3144 - Accuracy: 0.6250 - F1: 0.6113
sub_13:Test (Best Model) - Loss: 2.4244 - Accuracy: 0.8125 - F1: 0.8125
sub_13:Test (Best Model) - Loss: 3.1031 - Accuracy: 0.7188 - F1: 0.6632
sub_13:Test (Best Model) - Loss: 0.3799 - Accuracy: 0.9375 - F1: 0.9365
sub_14:Test (Best Model) - Loss: 5.9439 - Accuracy: 0.6875 - F1: 0.6537
sub_14:Test (Best Model) - Loss: 1.6522 - Accuracy: 0.8125 - F1: 0.8118
sub_14:Test (Best Model) - Loss: 1.4815 - Accuracy: 0.7188 - F1: 0.7046
sub_14:Test (Best Model) - Loss: 3.7372 - Accuracy: 0.8438 - F1: 0.8359
sub_14:Test (Best Model) - Loss: 3.3063 - Accuracy: 0.6562 - F1: 0.6559
sub_14:Test (Best Model) - Loss: 6.3194 - Accuracy: 0.6562 - F1: 0.5883
sub_14:Test (Best Model) - Loss: 5.8534 - Accuracy: 0.6250 - F1: 0.5000
sub_14:Test (Best Model) - Loss: 8.5153 - Accuracy: 0.5625 - F1: 0.4167
sub_14:Test (Best Model) - Loss: 4.0541 - Accuracy: 0.6562 - F1: 0.5883
sub_14:Test (Best Model) - Loss: 10.2790 - Accuracy: 0.5938 - F1: 0.4340
sub_14:Test (Best Model) - Loss: 7.4567 - Accuracy: 0.6250 - F1: 0.5000
sub_14:Test (Best Model) - Loss: 2.8449 - Accuracy: 0.7500 - F1: 0.7409
sub_14:Test (Best Model) - Loss: 7.1718 - Accuracy: 0.5000 - F1: 0.4980
sub_14:Test (Best Model) - Loss: 6.1413 - Accuracy: 0.5000 - F1: 0.5000
sub_14:Test (Best Model) - Loss: 2.5779 - Accuracy: 0.7812 - F1: 0.7519
sub_15:Test (Best Model) - Loss: 8.8788 - Accuracy: 0.7188 - F1: 0.6811
sub_15:Test (Best Model) - Loss: 6.1507 - Accuracy: 0.5938 - F1: 0.5934
sub_15:Test (Best Model) - Loss: 5.0397 - Accuracy: 0.7188 - F1: 0.7185
sub_15:Test (Best Model) - Loss: 6.3027 - Accuracy: 0.5938 - F1: 0.5934
sub_15:Test (Best Model) - Loss: 7.0218 - Accuracy: 0.7188 - F1: 0.7117
sub_15:Test (Best Model) - Loss: 11.3127 - Accuracy: 0.6875 - F1: 0.6863
sub_15:Test (Best Model) - Loss: 9.9282 - Accuracy: 0.5312 - F1: 0.5271
sub_15:Test (Best Model) - Loss: 10.0841 - Accuracy: 0.6250 - F1: 0.6235
sub_15:Test (Best Model) - Loss: 11.1442 - Accuracy: 0.6250 - F1: 0.6000
sub_15:Test (Best Model) - Loss: 9.6795 - Accuracy: 0.6250 - F1: 0.6250
sub_15:Test (Best Model) - Loss: 6.3035 - Accuracy: 0.6250 - F1: 0.6000
sub_15:Test (Best Model) - Loss: 6.8099 - Accuracy: 0.6875 - F1: 0.6537
sub_15:Test (Best Model) - Loss: 5.8063 - Accuracy: 0.5625 - F1: 0.5608
sub_15:Test (Best Model) - Loss: 12.7040 - Accuracy: 0.4375 - F1: 0.3766
sub_15:Test (Best Model) - Loss: 6.1464 - Accuracy: 0.5312 - F1: 0.5308
sub_16:Test (Best Model) - Loss: 7.8952 - Accuracy: 0.5000 - F1: 0.4667
sub_16:Test (Best Model) - Loss: 6.5433 - Accuracy: 0.4688 - F1: 0.3637
sub_16:Test (Best Model) - Loss: 6.1478 - Accuracy: 0.4375 - F1: 0.3766
sub_16:Test (Best Model) - Loss: 6.3083 - Accuracy: 0.5312 - F1: 0.4910
sub_16:Test (Best Model) - Loss: 4.1063 - Accuracy: 0.6250 - F1: 0.6250
sub_16:Test (Best Model) - Loss: 6.1272 - Accuracy: 0.6875 - F1: 0.6863
sub_16:Test (Best Model) - Loss: 6.0911 - Accuracy: 0.6875 - F1: 0.6667
sub_16:Test (Best Model) - Loss: 9.3044 - Accuracy: 0.6562 - F1: 0.6476
sub_16:Test (Best Model) - Loss: 5.8732 - Accuracy: 0.6250 - F1: 0.5636
sub_16:Test (Best Model) - Loss: 7.4771 - Accuracy: 0.6562 - F1: 0.6390
sub_16:Test (Best Model) - Loss: 6.7214 - Accuracy: 0.5000 - F1: 0.4182
sub_16:Test (Best Model) - Loss: 5.9921 - Accuracy: 0.4688 - F1: 0.4640
sub_16:Test (Best Model) - Loss: 11.6044 - Accuracy: 0.5625 - F1: 0.5152
sub_16:Test (Best Model) - Loss: 5.4161 - Accuracy: 0.4062 - F1: 0.4057
sub_16:Test (Best Model) - Loss: 10.2498 - Accuracy: 0.5000 - F1: 0.3816
sub_17:Test (Best Model) - Loss: 10.4673 - Accuracy: 0.6061 - F1: 0.4850
sub_17:Test (Best Model) - Loss: 2.5627 - Accuracy: 0.5455 - F1: 0.5387
sub_17:Test (Best Model) - Loss: 7.7697 - Accuracy: 0.6667 - F1: 0.5935
sub_17:Test (Best Model) - Loss: 3.5967 - Accuracy: 0.6364 - F1: 0.6192
sub_17:Test (Best Model) - Loss: 6.3365 - Accuracy: 0.5455 - F1: 0.4457
sub_17:Test (Best Model) - Loss: 6.8942 - Accuracy: 0.5152 - F1: 0.5147
sub_17:Test (Best Model) - Loss: 7.6158 - Accuracy: 0.6061 - F1: 0.5815
sub_17:Test (Best Model) - Loss: 8.7376 - Accuracy: 0.4242 - F1: 0.3660
sub_17:Test (Best Model) - Loss: 8.4394 - Accuracy: 0.4242 - F1: 0.4046
sub_17:Test (Best Model) - Loss: 4.1062 - Accuracy: 0.6061 - F1: 0.5926
sub_17:Test (Best Model) - Loss: 6.5758 - Accuracy: 0.4688 - F1: 0.4421
sub_17:Test (Best Model) - Loss: 4.3666 - Accuracy: 0.4688 - F1: 0.4555
sub_17:Test (Best Model) - Loss: 11.0875 - Accuracy: 0.6250 - F1: 0.5000
sub_17:Test (Best Model) - Loss: 9.4725 - Accuracy: 0.5938 - F1: 0.5393
sub_17:Test (Best Model) - Loss: 5.1867 - Accuracy: 0.6875 - F1: 0.6537
sub_18:Test (Best Model) - Loss: 3.1457 - Accuracy: 0.7576 - F1: 0.7556
sub_18:Test (Best Model) - Loss: 3.6217 - Accuracy: 0.6970 - F1: 0.6726
sub_18:Test (Best Model) - Loss: 2.4640 - Accuracy: 0.8485 - F1: 0.8462
sub_18:Test (Best Model) - Loss: 3.2038 - Accuracy: 0.6667 - F1: 0.6553
sub_18:Test (Best Model) - Loss: 4.6724 - Accuracy: 0.7273 - F1: 0.7232
sub_18:Test (Best Model) - Loss: 4.2267 - Accuracy: 0.7188 - F1: 0.7185
sub_18:Test (Best Model) - Loss: 4.3309 - Accuracy: 0.6562 - F1: 0.6476
sub_18:Test (Best Model) - Loss: 2.3802 - Accuracy: 0.8125 - F1: 0.8095
sub_18:Test (Best Model) - Loss: 3.9782 - Accuracy: 0.7500 - F1: 0.7409
sub_18:Test (Best Model) - Loss: 5.0158 - Accuracy: 0.7812 - F1: 0.7625
sub_18:Test (Best Model) - Loss: 0.8474 - Accuracy: 0.9062 - F1: 0.9039
sub_18:Test (Best Model) - Loss: 5.3955 - Accuracy: 0.6875 - F1: 0.6537
sub_18:Test (Best Model) - Loss: 3.6289 - Accuracy: 0.6875 - F1: 0.6364
sub_18:Test (Best Model) - Loss: 3.0216 - Accuracy: 0.8750 - F1: 0.8667
sub_18:Test (Best Model) - Loss: 3.6428 - Accuracy: 0.7812 - F1: 0.7810
sub_19:Test (Best Model) - Loss: 14.5125 - Accuracy: 0.3750 - F1: 0.2727
sub_19:Test (Best Model) - Loss: 3.3105 - Accuracy: 0.5000 - F1: 0.4980
sub_19:Test (Best Model) - Loss: 4.0040 - Accuracy: 0.6562 - F1: 0.6102
sub_19:Test (Best Model) - Loss: 12.7217 - Accuracy: 0.5000 - F1: 0.3816
sub_19:Test (Best Model) - Loss: 4.1927 - Accuracy: 0.5625 - F1: 0.5556
sub_19:Test (Best Model) - Loss: 7.0584 - Accuracy: 0.5938 - F1: 0.5589
sub_19:Test (Best Model) - Loss: 10.9730 - Accuracy: 0.3438 - F1: 0.2558
sub_19:Test (Best Model) - Loss: 7.1456 - Accuracy: 0.5938 - F1: 0.4793
sub_19:Test (Best Model) - Loss: 12.2188 - Accuracy: 0.5625 - F1: 0.4167
sub_19:Test (Best Model) - Loss: 9.2141 - Accuracy: 0.5938 - F1: 0.4340
sub_19:Test (Best Model) - Loss: 7.6430 - Accuracy: 0.5938 - F1: 0.5836
sub_19:Test (Best Model) - Loss: 6.6970 - Accuracy: 0.6562 - F1: 0.6476
sub_19:Test (Best Model) - Loss: 10.9589 - Accuracy: 0.4062 - F1: 0.3552
sub_19:Test (Best Model) - Loss: 2.5682 - Accuracy: 0.7188 - F1: 0.7163
sub_19:Test (Best Model) - Loss: 8.6991 - Accuracy: 0.4688 - F1: 0.4231
sub_20:Test (Best Model) - Loss: 5.1012 - Accuracy: 0.6875 - F1: 0.6761
sub_20:Test (Best Model) - Loss: 8.4486 - Accuracy: 0.5312 - F1: 0.5308
sub_20:Test (Best Model) - Loss: 7.7545 - Accuracy: 0.4375 - F1: 0.4170
sub_20:Test (Best Model) - Loss: 6.7975 - Accuracy: 0.6250 - F1: 0.6113
sub_20:Test (Best Model) - Loss: 8.8480 - Accuracy: 0.5938 - F1: 0.5901
sub_20:Test (Best Model) - Loss: 13.2762 - Accuracy: 0.5625 - F1: 0.5333
sub_20:Test (Best Model) - Loss: 5.9003 - Accuracy: 0.6562 - F1: 0.6532
sub_20:Test (Best Model) - Loss: 12.6006 - Accuracy: 0.6562 - F1: 0.6559
sub_20:Test (Best Model) - Loss: 7.0435 - Accuracy: 0.6875 - F1: 0.6537
sub_20:Test (Best Model) - Loss: 1.8069 - Accuracy: 0.8125 - F1: 0.8095
sub_20:Test (Best Model) - Loss: 12.4648 - Accuracy: 0.5455 - F1: 0.5387
sub_20:Test (Best Model) - Loss: 12.6539 - Accuracy: 0.5152 - F1: 0.4923
sub_20:Test (Best Model) - Loss: 10.7815 - Accuracy: 0.4242 - F1: 0.4221
sub_20:Test (Best Model) - Loss: 15.8637 - Accuracy: 0.3939 - F1: 0.3934
sub_20:Test (Best Model) - Loss: 7.7693 - Accuracy: 0.6364 - F1: 0.6192
sub_21:Test (Best Model) - Loss: 10.3726 - Accuracy: 0.4375 - F1: 0.4353
sub_21:Test (Best Model) - Loss: 14.3206 - Accuracy: 0.2812 - F1: 0.2633
sub_21:Test (Best Model) - Loss: 8.8240 - Accuracy: 0.4375 - F1: 0.4286
sub_21:Test (Best Model) - Loss: 12.9335 - Accuracy: 0.4688 - F1: 0.4421
sub_21:Test (Best Model) - Loss: 11.2712 - Accuracy: 0.5000 - F1: 0.4818
sub_21:Test (Best Model) - Loss: 4.1694 - Accuracy: 0.5000 - F1: 0.4667
sub_21:Test (Best Model) - Loss: 7.4558 - Accuracy: 0.3750 - F1: 0.3651
sub_21:Test (Best Model) - Loss: 6.8221 - Accuracy: 0.4062 - F1: 0.4057
sub_21:Test (Best Model) - Loss: 9.2559 - Accuracy: 0.5312 - F1: 0.3469
sub_21:Test (Best Model) - Loss: 8.2820 - Accuracy: 0.5625 - F1: 0.4167
sub_21:Test (Best Model) - Loss: 5.3507 - Accuracy: 0.5000 - F1: 0.4921
sub_21:Test (Best Model) - Loss: 13.8383 - Accuracy: 0.4688 - F1: 0.3637
sub_21:Test (Best Model) - Loss: 7.7906 - Accuracy: 0.4062 - F1: 0.3552
sub_21:Test (Best Model) - Loss: 14.5304 - Accuracy: 0.4062 - F1: 0.3764
sub_21:Test (Best Model) - Loss: 8.3020 - Accuracy: 0.5000 - F1: 0.3816
sub_22:Test (Best Model) - Loss: 10.4681 - Accuracy: 0.6562 - F1: 0.5883
sub_22:Test (Best Model) - Loss: 6.7226 - Accuracy: 0.6562 - F1: 0.6559
sub_22:Test (Best Model) - Loss: 8.2465 - Accuracy: 0.6250 - F1: 0.6250
sub_22:Test (Best Model) - Loss: 6.6238 - Accuracy: 0.6250 - F1: 0.5636
sub_22:Test (Best Model) - Loss: 12.7380 - Accuracy: 0.6250 - F1: 0.5000
sub_22:Test (Best Model) - Loss: 5.8895 - Accuracy: 0.6061 - F1: 0.4850
sub_22:Test (Best Model) - Loss: 8.1677 - Accuracy: 0.6970 - F1: 0.6413
sub_22:Test (Best Model) - Loss: 7.9014 - Accuracy: 0.6667 - F1: 0.5935
sub_22:Test (Best Model) - Loss: 6.5268 - Accuracy: 0.6061 - F1: 0.4850
sub_22:Test (Best Model) - Loss: 8.8983 - Accuracy: 0.5455 - F1: 0.4058
sub_22:Test (Best Model) - Loss: 4.7807 - Accuracy: 0.6250 - F1: 0.6235
sub_22:Test (Best Model) - Loss: 10.4310 - Accuracy: 0.4688 - F1: 0.4640
sub_22:Test (Best Model) - Loss: 5.9171 - Accuracy: 0.4688 - F1: 0.4231
sub_22:Test (Best Model) - Loss: 5.5401 - Accuracy: 0.6250 - F1: 0.6235
sub_22:Test (Best Model) - Loss: 7.8621 - Accuracy: 0.5938 - F1: 0.5135
sub_23:Test (Best Model) - Loss: 4.6424 - Accuracy: 0.7273 - F1: 0.7102
sub_23:Test (Best Model) - Loss: 2.2754 - Accuracy: 0.7879 - F1: 0.7806
sub_23:Test (Best Model) - Loss: 3.7807 - Accuracy: 0.7273 - F1: 0.6857
sub_23:Test (Best Model) - Loss: 2.8311 - Accuracy: 0.8182 - F1: 0.8036
sub_23:Test (Best Model) - Loss: 3.6940 - Accuracy: 0.7273 - F1: 0.6857
sub_23:Test (Best Model) - Loss: 4.3914 - Accuracy: 0.6250 - F1: 0.6190
sub_23:Test (Best Model) - Loss: 5.1250 - Accuracy: 0.7188 - F1: 0.7046
sub_23:Test (Best Model) - Loss: 4.6413 - Accuracy: 0.4688 - F1: 0.4421
sub_23:Test (Best Model) - Loss: 4.9068 - Accuracy: 0.6250 - F1: 0.6113
sub_23:Test (Best Model) - Loss: 3.5312 - Accuracy: 0.7812 - F1: 0.7810
sub_23:Test (Best Model) - Loss: 6.4105 - Accuracy: 0.6667 - F1: 0.6159
sub_23:Test (Best Model) - Loss: 8.7578 - Accuracy: 0.7273 - F1: 0.6997
sub_23:Test (Best Model) - Loss: 4.4789 - Accuracy: 0.7273 - F1: 0.6857
sub_23:Test (Best Model) - Loss: 4.3995 - Accuracy: 0.7273 - F1: 0.6997
sub_23:Test (Best Model) - Loss: 3.4040 - Accuracy: 0.8485 - F1: 0.8390
sub_24:Test (Best Model) - Loss: 5.0547 - Accuracy: 0.5938 - F1: 0.5589
sub_24:Test (Best Model) - Loss: 5.6361 - Accuracy: 0.4375 - F1: 0.4375
sub_24:Test (Best Model) - Loss: 9.1686 - Accuracy: 0.5312 - F1: 0.4386
sub_24:Test (Best Model) - Loss: 4.9831 - Accuracy: 0.5938 - F1: 0.5901
sub_24:Test (Best Model) - Loss: 5.7204 - Accuracy: 0.5312 - F1: 0.5077
sub_24:Test (Best Model) - Loss: 2.9794 - Accuracy: 0.5938 - F1: 0.5135
sub_24:Test (Best Model) - Loss: 2.6055 - Accuracy: 0.5938 - F1: 0.5836
sub_24:Test (Best Model) - Loss: 5.0181 - Accuracy: 0.5312 - F1: 0.4684
sub_24:Test (Best Model) - Loss: 3.8815 - Accuracy: 0.5625 - F1: 0.5333
sub_24:Test (Best Model) - Loss: 2.4935 - Accuracy: 0.5625 - F1: 0.5556
sub_24:Test (Best Model) - Loss: 6.4872 - Accuracy: 0.6562 - F1: 0.6102
sub_24:Test (Best Model) - Loss: 4.7498 - Accuracy: 0.5000 - F1: 0.4667
sub_24:Test (Best Model) - Loss: 8.1892 - Accuracy: 0.4375 - F1: 0.4353
sub_24:Test (Best Model) - Loss: 6.9857 - Accuracy: 0.4375 - F1: 0.4353
sub_24:Test (Best Model) - Loss: 5.7750 - Accuracy: 0.5000 - F1: 0.4667
sub_25:Test (Best Model) - Loss: 7.2867 - Accuracy: 0.5455 - F1: 0.5171
sub_25:Test (Best Model) - Loss: 7.8574 - Accuracy: 0.5455 - F1: 0.4762
sub_25:Test (Best Model) - Loss: 8.8073 - Accuracy: 0.5455 - F1: 0.5299
sub_25:Test (Best Model) - Loss: 8.6211 - Accuracy: 0.5152 - F1: 0.3889
sub_25:Test (Best Model) - Loss: 8.4946 - Accuracy: 0.4848 - F1: 0.4328
sub_25:Test (Best Model) - Loss: 3.3521 - Accuracy: 0.6562 - F1: 0.6390
sub_25:Test (Best Model) - Loss: 8.4664 - Accuracy: 0.5625 - F1: 0.5556
sub_25:Test (Best Model) - Loss: 6.0988 - Accuracy: 0.5312 - F1: 0.5271
sub_25:Test (Best Model) - Loss: 8.4944 - Accuracy: 0.5938 - F1: 0.4340
sub_25:Test (Best Model) - Loss: 3.7224 - Accuracy: 0.6250 - F1: 0.6190
sub_25:Test (Best Model) - Loss: 5.3061 - Accuracy: 0.5938 - F1: 0.5733
sub_25:Test (Best Model) - Loss: 6.4324 - Accuracy: 0.5312 - F1: 0.5195
sub_25:Test (Best Model) - Loss: 5.6406 - Accuracy: 0.7188 - F1: 0.7046
sub_25:Test (Best Model) - Loss: 9.0772 - Accuracy: 0.5938 - F1: 0.5733
sub_25:Test (Best Model) - Loss: 8.2131 - Accuracy: 0.6562 - F1: 0.6267
sub_26:Test (Best Model) - Loss: 5.4054 - Accuracy: 0.6667 - F1: 0.6654
sub_26:Test (Best Model) - Loss: 5.4334 - Accuracy: 0.6364 - F1: 0.6192
sub_26:Test (Best Model) - Loss: 5.5180 - Accuracy: 0.6970 - F1: 0.6591
sub_26:Test (Best Model) - Loss: 1.0552 - Accuracy: 0.9394 - F1: 0.9380
sub_26:Test (Best Model) - Loss: 3.0547 - Accuracy: 0.6364 - F1: 0.6192
sub_26:Test (Best Model) - Loss: 3.3978 - Accuracy: 0.8125 - F1: 0.8095
sub_26:Test (Best Model) - Loss: 3.9951 - Accuracy: 0.7500 - F1: 0.7490
sub_26:Test (Best Model) - Loss: 5.3822 - Accuracy: 0.5625 - F1: 0.5556
sub_26:Test (Best Model) - Loss: 5.8665 - Accuracy: 0.6875 - F1: 0.6364
sub_26:Test (Best Model) - Loss: 1.6879 - Accuracy: 0.8438 - F1: 0.8424
sub_26:Test (Best Model) - Loss: 3.6614 - Accuracy: 0.7812 - F1: 0.7519
sub_26:Test (Best Model) - Loss: 1.5736 - Accuracy: 0.8750 - F1: 0.8667
sub_26:Test (Best Model) - Loss: 1.9301 - Accuracy: 0.8438 - F1: 0.8398
sub_26:Test (Best Model) - Loss: 4.6742 - Accuracy: 0.7812 - F1: 0.7519
sub_26:Test (Best Model) - Loss: 11.5819 - Accuracy: 0.6875 - F1: 0.6135
sub_27:Test (Best Model) - Loss: 10.4673 - Accuracy: 0.6061 - F1: 0.4850
sub_27:Test (Best Model) - Loss: 2.5627 - Accuracy: 0.5455 - F1: 0.5387
sub_27:Test (Best Model) - Loss: 7.7697 - Accuracy: 0.6667 - F1: 0.5935
sub_27:Test (Best Model) - Loss: 3.5967 - Accuracy: 0.6364 - F1: 0.6192
sub_27:Test (Best Model) - Loss: 6.3365 - Accuracy: 0.5455 - F1: 0.4457
sub_27:Test (Best Model) - Loss: 6.8942 - Accuracy: 0.5152 - F1: 0.5147
sub_27:Test (Best Model) - Loss: 7.6158 - Accuracy: 0.6061 - F1: 0.5815
sub_27:Test (Best Model) - Loss: 8.7376 - Accuracy: 0.4242 - F1: 0.3660
sub_27:Test (Best Model) - Loss: 8.4394 - Accuracy: 0.4242 - F1: 0.4046
sub_27:Test (Best Model) - Loss: 4.1062 - Accuracy: 0.6061 - F1: 0.5926
sub_27:Test (Best Model) - Loss: 6.5758 - Accuracy: 0.4688 - F1: 0.4421
sub_27:Test (Best Model) - Loss: 4.3666 - Accuracy: 0.4688 - F1: 0.4555
sub_27:Test (Best Model) - Loss: 11.0875 - Accuracy: 0.6250 - F1: 0.5000
sub_27:Test (Best Model) - Loss: 9.4725 - Accuracy: 0.5938 - F1: 0.5393
sub_27:Test (Best Model) - Loss: 5.1867 - Accuracy: 0.6875 - F1: 0.6537
sub_28:Test (Best Model) - Loss: 3.2744 - Accuracy: 0.6250 - F1: 0.6000
sub_28:Test (Best Model) - Loss: 3.7173 - Accuracy: 0.5312 - F1: 0.5308
sub_28:Test (Best Model) - Loss: 4.0369 - Accuracy: 0.5625 - F1: 0.5608
sub_28:Test (Best Model) - Loss: 9.2547 - Accuracy: 0.4688 - F1: 0.4231
sub_28:Test (Best Model) - Loss: 9.3982 - Accuracy: 0.5625 - F1: 0.5152
sub_28:Test (Best Model) - Loss: 25.7791 - Accuracy: 0.3750 - F1: 0.3725
sub_28:Test (Best Model) - Loss: 25.2903 - Accuracy: 0.4062 - F1: 0.3914
sub_28:Test (Best Model) - Loss: 12.8199 - Accuracy: 0.5312 - F1: 0.5271
sub_28:Test (Best Model) - Loss: 10.7867 - Accuracy: 0.4688 - F1: 0.4640
sub_28:Test (Best Model) - Loss: 22.6670 - Accuracy: 0.5312 - F1: 0.5195
sub_28:Test (Best Model) - Loss: 5.7077 - Accuracy: 0.4688 - F1: 0.4640
sub_28:Test (Best Model) - Loss: 9.9365 - Accuracy: 0.3438 - F1: 0.3273
sub_28:Test (Best Model) - Loss: 6.2219 - Accuracy: 0.5312 - F1: 0.4684
sub_28:Test (Best Model) - Loss: 4.6896 - Accuracy: 0.6250 - F1: 0.6190
sub_28:Test (Best Model) - Loss: 5.6458 - Accuracy: 0.4688 - F1: 0.3976
sub_29:Test (Best Model) - Loss: 0.6459 - Accuracy: 0.9688 - F1: 0.9680
sub_29:Test (Best Model) - Loss: 8.7757 - Accuracy: 0.8125 - F1: 0.8000
sub_29:Test (Best Model) - Loss: 1.0426 - Accuracy: 0.8438 - F1: 0.8436
sub_29:Test (Best Model) - Loss: 2.5566 - Accuracy: 0.8750 - F1: 0.8667
sub_29:Test (Best Model) - Loss: 5.4351 - Accuracy: 0.8750 - F1: 0.8667
sub_29:Test (Best Model) - Loss: 2.4340 - Accuracy: 0.7500 - F1: 0.7333
sub_29:Test (Best Model) - Loss: 1.5956 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 2.3406 - Accuracy: 0.8438 - F1: 0.8436
sub_29:Test (Best Model) - Loss: 1.3331 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 0.5366 - Accuracy: 0.9688 - F1: 0.9680
sub_29:Test (Best Model) - Loss: 1.1925 - Accuracy: 0.9697 - F1: 0.9692
sub_29:Test (Best Model) - Loss: 3.7237 - Accuracy: 0.8182 - F1: 0.8167
sub_29:Test (Best Model) - Loss: 0.9022 - Accuracy: 0.9697 - F1: 0.9692
sub_29:Test (Best Model) - Loss: 2.3126 - Accuracy: 0.9394 - F1: 0.9380
sub_29:Test (Best Model) - Loss: 4.1887 - Accuracy: 0.9091 - F1: 0.9060

=== Summary Results ===

acc: 62.97 ± 10.79
F1: 59.95 ± 11.92
acc-in: 72.04 ± 8.07
F1-in: 69.23 ± 9.20
