lr: 0.001
sub_1:Test (Best Model) - Loss: 2.6027 - Accuracy: 0.7500 - F1: 0.7333
sub_1:Test (Best Model) - Loss: 4.0155 - Accuracy: 0.6250 - F1: 0.6113
sub_1:Test (Best Model) - Loss: 3.4682 - Accuracy: 0.5938 - F1: 0.5733
sub_1:Test (Best Model) - Loss: 1.9430 - Accuracy: 0.7188 - F1: 0.7163
sub_1:Test (Best Model) - Loss: 2.9236 - Accuracy: 0.6875 - F1: 0.6364
sub_1:Test (Best Model) - Loss: 2.5420 - Accuracy: 0.7576 - F1: 0.7519
sub_1:Test (Best Model) - Loss: 2.8750 - Accuracy: 0.6970 - F1: 0.6591
sub_1:Test (Best Model) - Loss: 5.9188 - Accuracy: 0.6364 - F1: 0.6192
sub_1:Test (Best Model) - Loss: 4.9985 - Accuracy: 0.6061 - F1: 0.5460
sub_1:Test (Best Model) - Loss: 2.9387 - Accuracy: 0.7273 - F1: 0.7232
sub_1:Test (Best Model) - Loss: 3.5003 - Accuracy: 0.7188 - F1: 0.6632
sub_1:Test (Best Model) - Loss: 2.4116 - Accuracy: 0.7188 - F1: 0.6946
sub_1:Test (Best Model) - Loss: 2.3457 - Accuracy: 0.7812 - F1: 0.7703
sub_1:Test (Best Model) - Loss: 3.5656 - Accuracy: 0.6875 - F1: 0.6135
sub_1:Test (Best Model) - Loss: 2.4388 - Accuracy: 0.8750 - F1: 0.8667
sub_2:Test (Best Model) - Loss: 4.4174 - Accuracy: 0.6364 - F1: 0.6278
sub_2:Test (Best Model) - Loss: 6.8287 - Accuracy: 0.6667 - F1: 0.6159
sub_2:Test (Best Model) - Loss: 5.2988 - Accuracy: 0.6970 - F1: 0.6726
sub_2:Test (Best Model) - Loss: 5.7932 - Accuracy: 0.6364 - F1: 0.6278
sub_2:Test (Best Model) - Loss: 4.1327 - Accuracy: 0.7273 - F1: 0.7102
sub_2:Test (Best Model) - Loss: 3.6037 - Accuracy: 0.5000 - F1: 0.4818
sub_2:Test (Best Model) - Loss: 3.9528 - Accuracy: 0.5625 - F1: 0.5333
sub_2:Test (Best Model) - Loss: 3.9790 - Accuracy: 0.5938 - F1: 0.5836
sub_2:Test (Best Model) - Loss: 1.9149 - Accuracy: 0.6250 - F1: 0.6113
sub_2:Test (Best Model) - Loss: 4.3754 - Accuracy: 0.5625 - F1: 0.4589
sub_2:Test (Best Model) - Loss: 2.7042 - Accuracy: 0.6970 - F1: 0.6726
sub_2:Test (Best Model) - Loss: 4.1769 - Accuracy: 0.6364 - F1: 0.6360
sub_2:Test (Best Model) - Loss: 2.1561 - Accuracy: 0.6970 - F1: 0.6827
sub_2:Test (Best Model) - Loss: 4.7616 - Accuracy: 0.6667 - F1: 0.6654
sub_2:Test (Best Model) - Loss: 4.6557 - Accuracy: 0.5455 - F1: 0.4995
sub_3:Test (Best Model) - Loss: 6.3769 - Accuracy: 0.4062 - F1: 0.3914
sub_3:Test (Best Model) - Loss: 5.1165 - Accuracy: 0.5312 - F1: 0.5308
sub_3:Test (Best Model) - Loss: 4.1366 - Accuracy: 0.5000 - F1: 0.4459
sub_3:Test (Best Model) - Loss: 4.9192 - Accuracy: 0.5312 - F1: 0.5308
sub_3:Test (Best Model) - Loss: 5.4389 - Accuracy: 0.3750 - F1: 0.3750
sub_3:Test (Best Model) - Loss: 4.3116 - Accuracy: 0.4848 - F1: 0.4328
sub_3:Test (Best Model) - Loss: 3.8528 - Accuracy: 0.5152 - F1: 0.5147
sub_3:Test (Best Model) - Loss: 4.0458 - Accuracy: 0.5455 - F1: 0.4762
sub_3:Test (Best Model) - Loss: 6.0239 - Accuracy: 0.5758 - F1: 0.5658
sub_3:Test (Best Model) - Loss: 5.3647 - Accuracy: 0.5455 - F1: 0.4762
sub_3:Test (Best Model) - Loss: 8.0946 - Accuracy: 0.3333 - F1: 0.3278
sub_3:Test (Best Model) - Loss: 5.0339 - Accuracy: 0.5455 - F1: 0.4995
sub_3:Test (Best Model) - Loss: 6.1180 - Accuracy: 0.4242 - F1: 0.3365
sub_3:Test (Best Model) - Loss: 7.4764 - Accuracy: 0.5152 - F1: 0.4261
sub_3:Test (Best Model) - Loss: 6.6826 - Accuracy: 0.4242 - F1: 0.3365
sub_4:Test (Best Model) - Loss: 5.4704 - Accuracy: 0.4545 - F1: 0.4417
sub_4:Test (Best Model) - Loss: 3.7995 - Accuracy: 0.4848 - F1: 0.4772
sub_4:Test (Best Model) - Loss: 3.9142 - Accuracy: 0.6667 - F1: 0.6159
sub_4:Test (Best Model) - Loss: 3.4973 - Accuracy: 0.6364 - F1: 0.6333
sub_4:Test (Best Model) - Loss: 2.7260 - Accuracy: 0.7879 - F1: 0.7806
sub_4:Test (Best Model) - Loss: 4.3202 - Accuracy: 0.5455 - F1: 0.4995
sub_4:Test (Best Model) - Loss: 6.1961 - Accuracy: 0.4848 - F1: 0.4772
sub_4:Test (Best Model) - Loss: 1.9296 - Accuracy: 0.6364 - F1: 0.6192
sub_4:Test (Best Model) - Loss: 7.6393 - Accuracy: 0.5455 - F1: 0.5171
sub_4:Test (Best Model) - Loss: 4.9911 - Accuracy: 0.6970 - F1: 0.6726
sub_4:Test (Best Model) - Loss: 3.0079 - Accuracy: 0.5455 - F1: 0.5387
sub_4:Test (Best Model) - Loss: 4.0830 - Accuracy: 0.6667 - F1: 0.6553
sub_4:Test (Best Model) - Loss: 1.0053 - Accuracy: 0.8182 - F1: 0.8167
sub_4:Test (Best Model) - Loss: 2.4716 - Accuracy: 0.7576 - F1: 0.7462
sub_4:Test (Best Model) - Loss: 4.6983 - Accuracy: 0.6364 - F1: 0.5696
sub_5:Test (Best Model) - Loss: 7.5575 - Accuracy: 0.3438 - F1: 0.3379
sub_5:Test (Best Model) - Loss: 4.6509 - Accuracy: 0.4688 - F1: 0.4421
sub_5:Test (Best Model) - Loss: 9.4345 - Accuracy: 0.5312 - F1: 0.5195
sub_5:Test (Best Model) - Loss: 9.7414 - Accuracy: 0.5625 - F1: 0.5625
sub_5:Test (Best Model) - Loss: 11.9537 - Accuracy: 0.4062 - F1: 0.4057
sub_5:Test (Best Model) - Loss: 3.8450 - Accuracy: 0.5625 - F1: 0.5466
sub_5:Test (Best Model) - Loss: 5.4854 - Accuracy: 0.7812 - F1: 0.7519
sub_5:Test (Best Model) - Loss: 2.4648 - Accuracy: 0.5000 - F1: 0.4921
sub_5:Test (Best Model) - Loss: 3.5926 - Accuracy: 0.6562 - F1: 0.6102
sub_5:Test (Best Model) - Loss: 5.3015 - Accuracy: 0.7812 - F1: 0.7625
sub_5:Test (Best Model) - Loss: 4.5691 - Accuracy: 0.6562 - F1: 0.6267
sub_5:Test (Best Model) - Loss: 2.4815 - Accuracy: 0.5938 - F1: 0.5901
sub_5:Test (Best Model) - Loss: 5.9382 - Accuracy: 0.5000 - F1: 0.4818
sub_5:Test (Best Model) - Loss: 5.0410 - Accuracy: 0.5625 - F1: 0.5556
sub_5:Test (Best Model) - Loss: 3.7902 - Accuracy: 0.5000 - F1: 0.4921
sub_6:Test (Best Model) - Loss: 5.2868 - Accuracy: 0.5625 - F1: 0.5333
sub_6:Test (Best Model) - Loss: 4.5715 - Accuracy: 0.4688 - F1: 0.4682
sub_6:Test (Best Model) - Loss: 4.5101 - Accuracy: 0.4062 - F1: 0.4010
sub_6:Test (Best Model) - Loss: 6.2909 - Accuracy: 0.4062 - F1: 0.4010
sub_6:Test (Best Model) - Loss: 2.9663 - Accuracy: 0.4062 - F1: 0.4057
sub_6:Test (Best Model) - Loss: 7.6542 - Accuracy: 0.5152 - F1: 0.4923
sub_6:Test (Best Model) - Loss: 6.7360 - Accuracy: 0.5758 - F1: 0.5558
sub_6:Test (Best Model) - Loss: 8.1512 - Accuracy: 0.4848 - F1: 0.4527
sub_6:Test (Best Model) - Loss: 8.2111 - Accuracy: 0.4545 - F1: 0.4107
sub_6:Test (Best Model) - Loss: 7.2521 - Accuracy: 0.5758 - F1: 0.4653
sub_6:Test (Best Model) - Loss: 2.8845 - Accuracy: 0.6364 - F1: 0.6071
sub_6:Test (Best Model) - Loss: 6.2838 - Accuracy: 0.5758 - F1: 0.4653
sub_6:Test (Best Model) - Loss: 4.9000 - Accuracy: 0.5455 - F1: 0.4995
sub_6:Test (Best Model) - Loss: 3.4023 - Accuracy: 0.5758 - F1: 0.5558
sub_6:Test (Best Model) - Loss: 2.9493 - Accuracy: 0.7273 - F1: 0.6997
sub_7:Test (Best Model) - Loss: 2.7207 - Accuracy: 0.5625 - F1: 0.5152
sub_7:Test (Best Model) - Loss: 4.2061 - Accuracy: 0.5000 - F1: 0.4980
sub_7:Test (Best Model) - Loss: 4.5981 - Accuracy: 0.5312 - F1: 0.5308
sub_7:Test (Best Model) - Loss: 5.3516 - Accuracy: 0.5625 - F1: 0.4589
sub_7:Test (Best Model) - Loss: 5.9295 - Accuracy: 0.5938 - F1: 0.5393
sub_7:Test (Best Model) - Loss: 8.8151 - Accuracy: 0.2812 - F1: 0.2749
sub_7:Test (Best Model) - Loss: 4.5514 - Accuracy: 0.5312 - F1: 0.4910
sub_7:Test (Best Model) - Loss: 3.4979 - Accuracy: 0.4375 - F1: 0.4286
sub_7:Test (Best Model) - Loss: 7.2980 - Accuracy: 0.4375 - F1: 0.3766
sub_7:Test (Best Model) - Loss: 6.6772 - Accuracy: 0.4688 - F1: 0.4555
sub_7:Test (Best Model) - Loss: 4.5406 - Accuracy: 0.5938 - F1: 0.5934
sub_7:Test (Best Model) - Loss: 5.9054 - Accuracy: 0.5312 - F1: 0.4910
sub_7:Test (Best Model) - Loss: 8.7574 - Accuracy: 0.4375 - F1: 0.4000
sub_7:Test (Best Model) - Loss: 5.4780 - Accuracy: 0.5625 - F1: 0.5556
sub_7:Test (Best Model) - Loss: 5.1551 - Accuracy: 0.5938 - F1: 0.5934
sub_8:Test (Best Model) - Loss: 5.0776 - Accuracy: 0.5000 - F1: 0.4667
sub_8:Test (Best Model) - Loss: 6.1691 - Accuracy: 0.5312 - F1: 0.4910
sub_8:Test (Best Model) - Loss: 4.2798 - Accuracy: 0.4688 - F1: 0.4682
sub_8:Test (Best Model) - Loss: 4.0571 - Accuracy: 0.5938 - F1: 0.5836
sub_8:Test (Best Model) - Loss: 6.5172 - Accuracy: 0.5938 - F1: 0.5589
sub_8:Test (Best Model) - Loss: 2.4935 - Accuracy: 0.6250 - F1: 0.6190
sub_8:Test (Best Model) - Loss: 7.7800 - Accuracy: 0.6562 - F1: 0.5883
sub_8:Test (Best Model) - Loss: 4.6060 - Accuracy: 0.5312 - F1: 0.4910
sub_8:Test (Best Model) - Loss: 11.4238 - Accuracy: 0.5625 - F1: 0.5466
sub_8:Test (Best Model) - Loss: 6.5727 - Accuracy: 0.5000 - F1: 0.4980
sub_8:Test (Best Model) - Loss: 5.6867 - Accuracy: 0.4688 - F1: 0.4555
sub_8:Test (Best Model) - Loss: 4.3412 - Accuracy: 0.5312 - F1: 0.5195
sub_8:Test (Best Model) - Loss: 3.4610 - Accuracy: 0.6250 - F1: 0.6190
sub_8:Test (Best Model) - Loss: 5.3675 - Accuracy: 0.5312 - F1: 0.5077
sub_8:Test (Best Model) - Loss: 2.8726 - Accuracy: 0.6250 - F1: 0.6190
sub_9:Test (Best Model) - Loss: 1.5429 - Accuracy: 0.8750 - F1: 0.8667
sub_9:Test (Best Model) - Loss: 3.0032 - Accuracy: 0.7500 - F1: 0.7333
sub_9:Test (Best Model) - Loss: 1.7082 - Accuracy: 0.8438 - F1: 0.8303
sub_9:Test (Best Model) - Loss: 3.5294 - Accuracy: 0.7188 - F1: 0.6811
sub_9:Test (Best Model) - Loss: 2.5142 - Accuracy: 0.7188 - F1: 0.6946
sub_9:Test (Best Model) - Loss: 1.9092 - Accuracy: 0.8438 - F1: 0.8303
sub_9:Test (Best Model) - Loss: 3.8568 - Accuracy: 0.7812 - F1: 0.7625
sub_9:Test (Best Model) - Loss: 4.4124 - Accuracy: 0.7188 - F1: 0.7046
sub_9:Test (Best Model) - Loss: 5.6765 - Accuracy: 0.4375 - F1: 0.4353
sub_9:Test (Best Model) - Loss: 3.4282 - Accuracy: 0.7500 - F1: 0.7229
sub_9:Test (Best Model) - Loss: 4.3200 - Accuracy: 0.5625 - F1: 0.5556
sub_9:Test (Best Model) - Loss: 5.1704 - Accuracy: 0.7188 - F1: 0.7163
sub_9:Test (Best Model) - Loss: 3.4658 - Accuracy: 0.6875 - F1: 0.6863
sub_9:Test (Best Model) - Loss: 6.7155 - Accuracy: 0.5312 - F1: 0.5271
sub_9:Test (Best Model) - Loss: 2.7466 - Accuracy: 0.8750 - F1: 0.8750
sub_10:Test (Best Model) - Loss: 4.4796 - Accuracy: 0.3750 - F1: 0.3522
sub_10:Test (Best Model) - Loss: 4.3634 - Accuracy: 0.5000 - F1: 0.4980
sub_10:Test (Best Model) - Loss: 2.7498 - Accuracy: 0.6250 - F1: 0.6235
sub_10:Test (Best Model) - Loss: 3.4333 - Accuracy: 0.6250 - F1: 0.6000
sub_10:Test (Best Model) - Loss: 5.6778 - Accuracy: 0.4062 - F1: 0.4010
sub_10:Test (Best Model) - Loss: 6.0776 - Accuracy: 0.5000 - F1: 0.4182
sub_10:Test (Best Model) - Loss: 4.6814 - Accuracy: 0.5000 - F1: 0.5000
sub_10:Test (Best Model) - Loss: 5.8101 - Accuracy: 0.5938 - F1: 0.5589
sub_10:Test (Best Model) - Loss: 6.2373 - Accuracy: 0.3750 - F1: 0.3522
sub_10:Test (Best Model) - Loss: 5.0392 - Accuracy: 0.4688 - F1: 0.4640
sub_10:Test (Best Model) - Loss: 5.1316 - Accuracy: 0.5152 - F1: 0.5111
sub_10:Test (Best Model) - Loss: 5.8281 - Accuracy: 0.4848 - F1: 0.4672
sub_10:Test (Best Model) - Loss: 4.5443 - Accuracy: 0.6667 - F1: 0.6553
sub_10:Test (Best Model) - Loss: 4.8986 - Accuracy: 0.5758 - F1: 0.5658
sub_10:Test (Best Model) - Loss: 4.7480 - Accuracy: 0.5455 - F1: 0.5171
sub_11:Test (Best Model) - Loss: 6.3841 - Accuracy: 0.4545 - F1: 0.4288
sub_11:Test (Best Model) - Loss: 4.8183 - Accuracy: 0.5152 - F1: 0.5038
sub_11:Test (Best Model) - Loss: 5.1131 - Accuracy: 0.4545 - F1: 0.4417
sub_11:Test (Best Model) - Loss: 3.9515 - Accuracy: 0.4848 - F1: 0.4829
sub_11:Test (Best Model) - Loss: 5.7631 - Accuracy: 0.5152 - F1: 0.4923
sub_11:Test (Best Model) - Loss: 6.6808 - Accuracy: 0.5455 - F1: 0.4058
sub_11:Test (Best Model) - Loss: 8.1514 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 4.2958 - Accuracy: 0.5152 - F1: 0.4923
sub_11:Test (Best Model) - Loss: 5.4161 - Accuracy: 0.4545 - F1: 0.4107
sub_11:Test (Best Model) - Loss: 7.6874 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 6.4748 - Accuracy: 0.6061 - F1: 0.4850
sub_11:Test (Best Model) - Loss: 3.8391 - Accuracy: 0.6364 - F1: 0.5909
sub_11:Test (Best Model) - Loss: 6.3930 - Accuracy: 0.5455 - F1: 0.4457
sub_11:Test (Best Model) - Loss: 3.8141 - Accuracy: 0.6667 - F1: 0.6330
sub_11:Test (Best Model) - Loss: 5.1495 - Accuracy: 0.6061 - F1: 0.4850
sub_12:Test (Best Model) - Loss: 3.9586 - Accuracy: 0.6875 - F1: 0.6761
sub_12:Test (Best Model) - Loss: 3.1749 - Accuracy: 0.6250 - F1: 0.5844
sub_12:Test (Best Model) - Loss: 5.1948 - Accuracy: 0.6562 - F1: 0.5883
sub_12:Test (Best Model) - Loss: 7.0125 - Accuracy: 0.6250 - F1: 0.6113
sub_12:Test (Best Model) - Loss: 4.5221 - Accuracy: 0.6250 - F1: 0.6000
sub_12:Test (Best Model) - Loss: 3.8712 - Accuracy: 0.6364 - F1: 0.6192
sub_12:Test (Best Model) - Loss: 3.3269 - Accuracy: 0.5758 - F1: 0.5722
sub_12:Test (Best Model) - Loss: 3.2297 - Accuracy: 0.5758 - F1: 0.5227
sub_12:Test (Best Model) - Loss: 6.5362 - Accuracy: 0.6061 - F1: 0.5196
sub_12:Test (Best Model) - Loss: 2.8856 - Accuracy: 0.6364 - F1: 0.6071
sub_12:Test (Best Model) - Loss: 4.2486 - Accuracy: 0.6875 - F1: 0.6761
sub_12:Test (Best Model) - Loss: 6.5485 - Accuracy: 0.5312 - F1: 0.4386
sub_12:Test (Best Model) - Loss: 4.1802 - Accuracy: 0.6250 - F1: 0.5844
sub_12:Test (Best Model) - Loss: 7.2773 - Accuracy: 0.4688 - F1: 0.3976
sub_12:Test (Best Model) - Loss: 4.3930 - Accuracy: 0.6250 - F1: 0.5844
sub_13:Test (Best Model) - Loss: 1.0641 - Accuracy: 0.7812 - F1: 0.7625
sub_13:Test (Best Model) - Loss: 2.6587 - Accuracy: 0.7500 - F1: 0.7333
sub_13:Test (Best Model) - Loss: 1.7217 - Accuracy: 0.8125 - F1: 0.8000
sub_13:Test (Best Model) - Loss: 4.2807 - Accuracy: 0.5938 - F1: 0.5836
sub_13:Test (Best Model) - Loss: 1.7704 - Accuracy: 0.6875 - F1: 0.6364
sub_13:Test (Best Model) - Loss: 2.7043 - Accuracy: 0.6667 - F1: 0.6330
sub_13:Test (Best Model) - Loss: 1.7275 - Accuracy: 0.6970 - F1: 0.6827
sub_13:Test (Best Model) - Loss: 3.1785 - Accuracy: 0.6970 - F1: 0.6591
sub_13:Test (Best Model) - Loss: 4.8203 - Accuracy: 0.6061 - F1: 0.5460
sub_13:Test (Best Model) - Loss: 3.8632 - Accuracy: 0.6667 - F1: 0.6459
sub_13:Test (Best Model) - Loss: 2.2245 - Accuracy: 0.7500 - F1: 0.7091
sub_13:Test (Best Model) - Loss: 3.1694 - Accuracy: 0.7500 - F1: 0.7091
sub_13:Test (Best Model) - Loss: 1.1619 - Accuracy: 0.7812 - F1: 0.7625
sub_13:Test (Best Model) - Loss: 2.4954 - Accuracy: 0.7500 - F1: 0.7229
sub_13:Test (Best Model) - Loss: 3.9567 - Accuracy: 0.5938 - F1: 0.4340
sub_14:Test (Best Model) - Loss: 5.5262 - Accuracy: 0.5312 - F1: 0.3992
sub_14:Test (Best Model) - Loss: 2.6994 - Accuracy: 0.5625 - F1: 0.4167
sub_14:Test (Best Model) - Loss: 3.7055 - Accuracy: 0.5000 - F1: 0.4980
sub_14:Test (Best Model) - Loss: 5.2122 - Accuracy: 0.5312 - F1: 0.5308
sub_14:Test (Best Model) - Loss: 1.2384 - Accuracy: 0.7188 - F1: 0.7163
sub_14:Test (Best Model) - Loss: 4.8323 - Accuracy: 0.5625 - F1: 0.4167
sub_14:Test (Best Model) - Loss: 3.5536 - Accuracy: 0.6562 - F1: 0.6476
sub_14:Test (Best Model) - Loss: 4.6910 - Accuracy: 0.6250 - F1: 0.6250
sub_14:Test (Best Model) - Loss: 5.8974 - Accuracy: 0.5000 - F1: 0.4459
sub_14:Test (Best Model) - Loss: 7.7629 - Accuracy: 0.5312 - F1: 0.3469
sub_14:Test (Best Model) - Loss: 5.3572 - Accuracy: 0.6250 - F1: 0.5000
sub_14:Test (Best Model) - Loss: 4.3556 - Accuracy: 0.5625 - F1: 0.5152
sub_14:Test (Best Model) - Loss: 6.6570 - Accuracy: 0.5938 - F1: 0.4793
sub_14:Test (Best Model) - Loss: 7.5815 - Accuracy: 0.4375 - F1: 0.4000
sub_14:Test (Best Model) - Loss: 4.3631 - Accuracy: 0.6250 - F1: 0.5362
sub_15:Test (Best Model) - Loss: 5.4499 - Accuracy: 0.7500 - F1: 0.7091
sub_15:Test (Best Model) - Loss: 5.9530 - Accuracy: 0.5000 - F1: 0.4980
sub_15:Test (Best Model) - Loss: 3.3747 - Accuracy: 0.6250 - F1: 0.6250
sub_15:Test (Best Model) - Loss: 5.3789 - Accuracy: 0.5625 - F1: 0.5556
sub_15:Test (Best Model) - Loss: 8.7462 - Accuracy: 0.5625 - F1: 0.5152
sub_15:Test (Best Model) - Loss: 6.1967 - Accuracy: 0.5938 - F1: 0.5901
sub_15:Test (Best Model) - Loss: 14.1557 - Accuracy: 0.4375 - F1: 0.4375
sub_15:Test (Best Model) - Loss: 5.5816 - Accuracy: 0.5000 - F1: 0.4980
sub_15:Test (Best Model) - Loss: 8.5851 - Accuracy: 0.5000 - F1: 0.4818
sub_15:Test (Best Model) - Loss: 8.1868 - Accuracy: 0.5312 - F1: 0.5195
sub_15:Test (Best Model) - Loss: 4.2896 - Accuracy: 0.6562 - F1: 0.6267
sub_15:Test (Best Model) - Loss: 5.2830 - Accuracy: 0.6562 - F1: 0.6390
sub_15:Test (Best Model) - Loss: 3.8521 - Accuracy: 0.6250 - F1: 0.6000
sub_15:Test (Best Model) - Loss: 4.4320 - Accuracy: 0.6250 - F1: 0.6113
sub_15:Test (Best Model) - Loss: 5.2800 - Accuracy: 0.5312 - F1: 0.5077
sub_16:Test (Best Model) - Loss: 3.9489 - Accuracy: 0.5312 - F1: 0.4910
sub_16:Test (Best Model) - Loss: 2.9501 - Accuracy: 0.5625 - F1: 0.5152
sub_16:Test (Best Model) - Loss: 2.5787 - Accuracy: 0.5000 - F1: 0.4921
sub_16:Test (Best Model) - Loss: 4.4298 - Accuracy: 0.5625 - F1: 0.5466
sub_16:Test (Best Model) - Loss: 2.4751 - Accuracy: 0.5000 - F1: 0.4667
sub_16:Test (Best Model) - Loss: 4.6841 - Accuracy: 0.6562 - F1: 0.6559
sub_16:Test (Best Model) - Loss: 3.6475 - Accuracy: 0.6875 - F1: 0.6667
sub_16:Test (Best Model) - Loss: 5.4584 - Accuracy: 0.6875 - F1: 0.6863
sub_16:Test (Best Model) - Loss: 5.9406 - Accuracy: 0.6250 - F1: 0.6235
sub_16:Test (Best Model) - Loss: 6.4642 - Accuracy: 0.7188 - F1: 0.7117
sub_16:Test (Best Model) - Loss: 12.3257 - Accuracy: 0.5625 - F1: 0.4589
sub_16:Test (Best Model) - Loss: 8.8738 - Accuracy: 0.5625 - F1: 0.4167
sub_16:Test (Best Model) - Loss: 5.4529 - Accuracy: 0.5625 - F1: 0.4589
sub_16:Test (Best Model) - Loss: 7.1114 - Accuracy: 0.5312 - F1: 0.5077
sub_16:Test (Best Model) - Loss: 6.1551 - Accuracy: 0.4688 - F1: 0.3976
sub_17:Test (Best Model) - Loss: 4.6831 - Accuracy: 0.6061 - F1: 0.5815
sub_17:Test (Best Model) - Loss: 1.9524 - Accuracy: 0.5758 - F1: 0.5722
sub_17:Test (Best Model) - Loss: 3.0585 - Accuracy: 0.4545 - F1: 0.4288
sub_17:Test (Best Model) - Loss: 5.8354 - Accuracy: 0.5152 - F1: 0.3400
sub_17:Test (Best Model) - Loss: 5.6277 - Accuracy: 0.5455 - F1: 0.4058
sub_17:Test (Best Model) - Loss: 7.3576 - Accuracy: 0.4848 - F1: 0.3718
sub_17:Test (Best Model) - Loss: 6.4699 - Accuracy: 0.4545 - F1: 0.4288
sub_17:Test (Best Model) - Loss: 4.9333 - Accuracy: 0.4545 - F1: 0.4500
sub_17:Test (Best Model) - Loss: 6.7048 - Accuracy: 0.5152 - F1: 0.4545
sub_17:Test (Best Model) - Loss: 4.9735 - Accuracy: 0.4848 - F1: 0.4328
sub_17:Test (Best Model) - Loss: 3.3062 - Accuracy: 0.6250 - F1: 0.5636
sub_17:Test (Best Model) - Loss: 3.7129 - Accuracy: 0.5625 - F1: 0.5466
sub_17:Test (Best Model) - Loss: 11.3164 - Accuracy: 0.5312 - F1: 0.4910
sub_17:Test (Best Model) - Loss: 5.8647 - Accuracy: 0.5000 - F1: 0.4980
sub_17:Test (Best Model) - Loss: 3.8317 - Accuracy: 0.5625 - F1: 0.5466
sub_18:Test (Best Model) - Loss: 3.2237 - Accuracy: 0.5455 - F1: 0.5455
sub_18:Test (Best Model) - Loss: 2.8593 - Accuracy: 0.7273 - F1: 0.7232
sub_18:Test (Best Model) - Loss: 5.1089 - Accuracy: 0.5758 - F1: 0.5722
sub_18:Test (Best Model) - Loss: 1.8830 - Accuracy: 0.7576 - F1: 0.7574
sub_18:Test (Best Model) - Loss: 1.7994 - Accuracy: 0.7273 - F1: 0.7179
sub_18:Test (Best Model) - Loss: 2.6745 - Accuracy: 0.7812 - F1: 0.7758
sub_18:Test (Best Model) - Loss: 3.8809 - Accuracy: 0.6562 - F1: 0.6532
sub_18:Test (Best Model) - Loss: 3.9392 - Accuracy: 0.5938 - F1: 0.5901
sub_18:Test (Best Model) - Loss: 4.1688 - Accuracy: 0.7188 - F1: 0.6946
sub_18:Test (Best Model) - Loss: 5.5263 - Accuracy: 0.5938 - F1: 0.5733
sub_18:Test (Best Model) - Loss: 1.5869 - Accuracy: 0.7500 - F1: 0.7490
sub_18:Test (Best Model) - Loss: 5.3754 - Accuracy: 0.5000 - F1: 0.4921
sub_18:Test (Best Model) - Loss: 4.5096 - Accuracy: 0.6875 - F1: 0.6537
sub_18:Test (Best Model) - Loss: 3.5883 - Accuracy: 0.6875 - F1: 0.6825
sub_18:Test (Best Model) - Loss: 3.6108 - Accuracy: 0.7188 - F1: 0.7117
sub_19:Test (Best Model) - Loss: 10.4403 - Accuracy: 0.5312 - F1: 0.3469
sub_19:Test (Best Model) - Loss: 3.7104 - Accuracy: 0.5625 - F1: 0.5152
sub_19:Test (Best Model) - Loss: 8.3424 - Accuracy: 0.4688 - F1: 0.3637
sub_19:Test (Best Model) - Loss: 5.5582 - Accuracy: 0.4688 - F1: 0.4421
sub_19:Test (Best Model) - Loss: 8.4261 - Accuracy: 0.5312 - F1: 0.3992
sub_19:Test (Best Model) - Loss: 5.5172 - Accuracy: 0.4688 - F1: 0.4421
sub_19:Test (Best Model) - Loss: 4.7133 - Accuracy: 0.5000 - F1: 0.4459
sub_19:Test (Best Model) - Loss: 6.7802 - Accuracy: 0.5312 - F1: 0.4684
sub_19:Test (Best Model) - Loss: 8.5935 - Accuracy: 0.4062 - F1: 0.3552
sub_19:Test (Best Model) - Loss: 8.1088 - Accuracy: 0.4375 - F1: 0.3455
sub_19:Test (Best Model) - Loss: 3.9004 - Accuracy: 0.6250 - F1: 0.5844
sub_19:Test (Best Model) - Loss: 4.0730 - Accuracy: 0.7500 - F1: 0.7091
sub_19:Test (Best Model) - Loss: 2.4181 - Accuracy: 0.6875 - F1: 0.6537
sub_19:Test (Best Model) - Loss: 1.4613 - Accuracy: 0.7500 - F1: 0.7091
sub_19:Test (Best Model) - Loss: 3.7400 - Accuracy: 0.6875 - F1: 0.6667
sub_20:Test (Best Model) - Loss: 2.8652 - Accuracy: 0.5938 - F1: 0.5589
sub_20:Test (Best Model) - Loss: 2.5585 - Accuracy: 0.7188 - F1: 0.6946
sub_20:Test (Best Model) - Loss: 7.1068 - Accuracy: 0.5938 - F1: 0.5589
sub_20:Test (Best Model) - Loss: 3.8053 - Accuracy: 0.5938 - F1: 0.5836
sub_20:Test (Best Model) - Loss: 7.1048 - Accuracy: 0.5938 - F1: 0.4793
sub_20:Test (Best Model) - Loss: 6.3016 - Accuracy: 0.5938 - F1: 0.5589
sub_20:Test (Best Model) - Loss: 7.1869 - Accuracy: 0.5938 - F1: 0.5733
sub_20:Test (Best Model) - Loss: 4.8701 - Accuracy: 0.6250 - F1: 0.6113
sub_20:Test (Best Model) - Loss: 9.2434 - Accuracy: 0.6562 - F1: 0.6267
sub_20:Test (Best Model) - Loss: 3.9590 - Accuracy: 0.7188 - F1: 0.7163
sub_20:Test (Best Model) - Loss: 10.4889 - Accuracy: 0.4545 - F1: 0.4540
sub_20:Test (Best Model) - Loss: 10.3249 - Accuracy: 0.5455 - F1: 0.5299
sub_20:Test (Best Model) - Loss: 7.4056 - Accuracy: 0.5758 - F1: 0.5558
sub_20:Test (Best Model) - Loss: 11.5167 - Accuracy: 0.5758 - F1: 0.5722
sub_20:Test (Best Model) - Loss: 7.6389 - Accuracy: 0.6667 - F1: 0.6330
sub_21:Test (Best Model) - Loss: 6.3997 - Accuracy: 0.4688 - F1: 0.4682
sub_21:Test (Best Model) - Loss: 7.5561 - Accuracy: 0.3125 - F1: 0.3016
sub_21:Test (Best Model) - Loss: 5.5128 - Accuracy: 0.3750 - F1: 0.3333
sub_21:Test (Best Model) - Loss: 5.8341 - Accuracy: 0.5000 - F1: 0.5000
sub_21:Test (Best Model) - Loss: 6.8099 - Accuracy: 0.4375 - F1: 0.4286
sub_21:Test (Best Model) - Loss: 7.1548 - Accuracy: 0.5625 - F1: 0.4909
sub_21:Test (Best Model) - Loss: 5.6241 - Accuracy: 0.5625 - F1: 0.4167
sub_21:Test (Best Model) - Loss: 6.1442 - Accuracy: 0.5312 - F1: 0.4386
sub_21:Test (Best Model) - Loss: 7.3850 - Accuracy: 0.5312 - F1: 0.4386
sub_21:Test (Best Model) - Loss: 5.1086 - Accuracy: 0.3750 - F1: 0.2727
sub_21:Test (Best Model) - Loss: 4.1941 - Accuracy: 0.5312 - F1: 0.5308
sub_21:Test (Best Model) - Loss: 4.3704 - Accuracy: 0.5000 - F1: 0.4818
sub_21:Test (Best Model) - Loss: 8.7427 - Accuracy: 0.4688 - F1: 0.3976
sub_21:Test (Best Model) - Loss: 11.4822 - Accuracy: 0.2812 - F1: 0.2749
sub_21:Test (Best Model) - Loss: 4.6371 - Accuracy: 0.5312 - F1: 0.5195
sub_22:Test (Best Model) - Loss: 5.0277 - Accuracy: 0.4688 - F1: 0.4640
sub_22:Test (Best Model) - Loss: 4.6817 - Accuracy: 0.6250 - F1: 0.5362
sub_22:Test (Best Model) - Loss: 3.5310 - Accuracy: 0.5938 - F1: 0.4793
sub_22:Test (Best Model) - Loss: 4.4750 - Accuracy: 0.5938 - F1: 0.5393
sub_22:Test (Best Model) - Loss: 3.8634 - Accuracy: 0.6562 - F1: 0.5594
sub_22:Test (Best Model) - Loss: 5.6379 - Accuracy: 0.5152 - F1: 0.4261
sub_22:Test (Best Model) - Loss: 6.2998 - Accuracy: 0.5455 - F1: 0.4457
sub_22:Test (Best Model) - Loss: 5.6536 - Accuracy: 0.5758 - F1: 0.5558
sub_22:Test (Best Model) - Loss: 8.4010 - Accuracy: 0.6364 - F1: 0.5417
sub_22:Test (Best Model) - Loss: 8.2188 - Accuracy: 0.5758 - F1: 0.4653
sub_22:Test (Best Model) - Loss: 4.0061 - Accuracy: 0.5938 - F1: 0.5589
sub_22:Test (Best Model) - Loss: 4.1178 - Accuracy: 0.5312 - F1: 0.5077
sub_22:Test (Best Model) - Loss: 6.6400 - Accuracy: 0.3750 - F1: 0.3725
sub_22:Test (Best Model) - Loss: 2.6068 - Accuracy: 0.5312 - F1: 0.5195
sub_22:Test (Best Model) - Loss: 5.1467 - Accuracy: 0.5625 - F1: 0.4909
sub_23:Test (Best Model) - Loss: 3.7351 - Accuracy: 0.6970 - F1: 0.6726
sub_23:Test (Best Model) - Loss: 4.9957 - Accuracy: 0.6364 - F1: 0.5417
sub_23:Test (Best Model) - Loss: 2.7121 - Accuracy: 0.6364 - F1: 0.6071
sub_23:Test (Best Model) - Loss: 2.2488 - Accuracy: 0.6364 - F1: 0.5696
sub_23:Test (Best Model) - Loss: 3.8343 - Accuracy: 0.6061 - F1: 0.5815
sub_23:Test (Best Model) - Loss: 3.0639 - Accuracy: 0.6250 - F1: 0.6000
sub_23:Test (Best Model) - Loss: 3.8657 - Accuracy: 0.7188 - F1: 0.6946
sub_23:Test (Best Model) - Loss: 2.2175 - Accuracy: 0.7188 - F1: 0.6946
sub_23:Test (Best Model) - Loss: 1.8020 - Accuracy: 0.8125 - F1: 0.8095
sub_23:Test (Best Model) - Loss: 1.4075 - Accuracy: 0.7500 - F1: 0.7409
sub_23:Test (Best Model) - Loss: 6.3194 - Accuracy: 0.5758 - F1: 0.5227
sub_23:Test (Best Model) - Loss: 3.6954 - Accuracy: 0.6364 - F1: 0.5696
sub_23:Test (Best Model) - Loss: 3.5530 - Accuracy: 0.7576 - F1: 0.7381
sub_23:Test (Best Model) - Loss: 3.8972 - Accuracy: 0.5455 - F1: 0.4058
sub_23:Test (Best Model) - Loss: 7.3737 - Accuracy: 0.5152 - F1: 0.4923
sub_24:Test (Best Model) - Loss: 3.5067 - Accuracy: 0.3750 - F1: 0.3074
sub_24:Test (Best Model) - Loss: 3.4993 - Accuracy: 0.4375 - F1: 0.4286
sub_24:Test (Best Model) - Loss: 4.4734 - Accuracy: 0.5312 - F1: 0.5077
sub_24:Test (Best Model) - Loss: 3.9627 - Accuracy: 0.4688 - F1: 0.4555
sub_24:Test (Best Model) - Loss: 2.2032 - Accuracy: 0.5000 - F1: 0.4459
sub_24:Test (Best Model) - Loss: 2.7332 - Accuracy: 0.6250 - F1: 0.6190
sub_24:Test (Best Model) - Loss: 3.2166 - Accuracy: 0.5625 - F1: 0.5556
sub_24:Test (Best Model) - Loss: 2.4569 - Accuracy: 0.6562 - F1: 0.6102
sub_24:Test (Best Model) - Loss: 2.5443 - Accuracy: 0.5938 - F1: 0.5901
sub_24:Test (Best Model) - Loss: 2.6752 - Accuracy: 0.6562 - F1: 0.6559
sub_24:Test (Best Model) - Loss: 5.9997 - Accuracy: 0.5312 - F1: 0.4684
sub_24:Test (Best Model) - Loss: 5.3063 - Accuracy: 0.5312 - F1: 0.4910
sub_24:Test (Best Model) - Loss: 7.4872 - Accuracy: 0.3750 - F1: 0.3333
sub_24:Test (Best Model) - Loss: 6.5509 - Accuracy: 0.5312 - F1: 0.4910
sub_24:Test (Best Model) - Loss: 6.3540 - Accuracy: 0.5000 - F1: 0.4459
sub_25:Test (Best Model) - Loss: 5.7342 - Accuracy: 0.4242 - F1: 0.2979
sub_25:Test (Best Model) - Loss: 4.9091 - Accuracy: 0.4848 - F1: 0.4672
sub_25:Test (Best Model) - Loss: 4.9886 - Accuracy: 0.5455 - F1: 0.5455
sub_25:Test (Best Model) - Loss: 5.1580 - Accuracy: 0.5152 - F1: 0.4545
sub_25:Test (Best Model) - Loss: 6.1004 - Accuracy: 0.4545 - F1: 0.4107
sub_25:Test (Best Model) - Loss: 4.1738 - Accuracy: 0.6562 - F1: 0.6102
sub_25:Test (Best Model) - Loss: 4.0586 - Accuracy: 0.5312 - F1: 0.4910
sub_25:Test (Best Model) - Loss: 3.5463 - Accuracy: 0.5625 - F1: 0.5556
sub_25:Test (Best Model) - Loss: 3.1424 - Accuracy: 0.6562 - F1: 0.6102
sub_25:Test (Best Model) - Loss: 4.6738 - Accuracy: 0.6562 - F1: 0.5594
sub_25:Test (Best Model) - Loss: 4.6069 - Accuracy: 0.5000 - F1: 0.4818
sub_25:Test (Best Model) - Loss: 3.6109 - Accuracy: 0.5938 - F1: 0.5733
sub_25:Test (Best Model) - Loss: 6.0476 - Accuracy: 0.5938 - F1: 0.5393
sub_25:Test (Best Model) - Loss: 6.5697 - Accuracy: 0.5938 - F1: 0.5393
sub_25:Test (Best Model) - Loss: 6.5886 - Accuracy: 0.5625 - F1: 0.5333
sub_26:Test (Best Model) - Loss: 4.4896 - Accuracy: 0.5758 - F1: 0.5658
sub_26:Test (Best Model) - Loss: 4.8197 - Accuracy: 0.5152 - F1: 0.4261
sub_26:Test (Best Model) - Loss: 4.3520 - Accuracy: 0.5758 - F1: 0.5558
sub_26:Test (Best Model) - Loss: 3.2101 - Accuracy: 0.7273 - F1: 0.7263
sub_26:Test (Best Model) - Loss: 3.5328 - Accuracy: 0.7273 - F1: 0.7232
sub_26:Test (Best Model) - Loss: 6.8719 - Accuracy: 0.6562 - F1: 0.6476
sub_26:Test (Best Model) - Loss: 4.3787 - Accuracy: 0.5938 - F1: 0.5733
sub_26:Test (Best Model) - Loss: 5.2631 - Accuracy: 0.6875 - F1: 0.6537
sub_26:Test (Best Model) - Loss: 2.5544 - Accuracy: 0.6250 - F1: 0.6113
sub_26:Test (Best Model) - Loss: 4.3823 - Accuracy: 0.6562 - F1: 0.6267
sub_26:Test (Best Model) - Loss: 2.8460 - Accuracy: 0.6875 - F1: 0.6537
sub_26:Test (Best Model) - Loss: 2.3174 - Accuracy: 0.7500 - F1: 0.7333
sub_26:Test (Best Model) - Loss: 5.0044 - Accuracy: 0.7188 - F1: 0.6946
sub_26:Test (Best Model) - Loss: 4.0251 - Accuracy: 0.7188 - F1: 0.6811
sub_26:Test (Best Model) - Loss: 1.9107 - Accuracy: 0.7500 - F1: 0.7333
sub_27:Test (Best Model) - Loss: 4.6831 - Accuracy: 0.6061 - F1: 0.5815
sub_27:Test (Best Model) - Loss: 1.9524 - Accuracy: 0.5758 - F1: 0.5722
sub_27:Test (Best Model) - Loss: 3.0585 - Accuracy: 0.4545 - F1: 0.4288
sub_27:Test (Best Model) - Loss: 5.8354 - Accuracy: 0.5152 - F1: 0.3400
sub_27:Test (Best Model) - Loss: 5.6277 - Accuracy: 0.5455 - F1: 0.4058
sub_27:Test (Best Model) - Loss: 7.3576 - Accuracy: 0.4848 - F1: 0.3718
sub_27:Test (Best Model) - Loss: 6.4699 - Accuracy: 0.4545 - F1: 0.4288
sub_27:Test (Best Model) - Loss: 4.9333 - Accuracy: 0.4545 - F1: 0.4500
sub_27:Test (Best Model) - Loss: 6.7048 - Accuracy: 0.5152 - F1: 0.4545
sub_27:Test (Best Model) - Loss: 4.9735 - Accuracy: 0.4848 - F1: 0.4328
sub_27:Test (Best Model) - Loss: 3.3062 - Accuracy: 0.6250 - F1: 0.5636
sub_27:Test (Best Model) - Loss: 3.7129 - Accuracy: 0.5625 - F1: 0.5466
sub_27:Test (Best Model) - Loss: 11.3164 - Accuracy: 0.5312 - F1: 0.4910
sub_27:Test (Best Model) - Loss: 5.8647 - Accuracy: 0.5000 - F1: 0.4980
sub_27:Test (Best Model) - Loss: 3.8317 - Accuracy: 0.5625 - F1: 0.5466
sub_28:Test (Best Model) - Loss: 1.3993 - Accuracy: 0.6562 - F1: 0.6390
sub_28:Test (Best Model) - Loss: 4.1571 - Accuracy: 0.5000 - F1: 0.4980
sub_28:Test (Best Model) - Loss: 2.2221 - Accuracy: 0.5312 - F1: 0.5195
sub_28:Test (Best Model) - Loss: 5.8784 - Accuracy: 0.4062 - F1: 0.3914
sub_28:Test (Best Model) - Loss: 4.5343 - Accuracy: 0.5000 - F1: 0.4980
sub_28:Test (Best Model) - Loss: 9.8189 - Accuracy: 0.5625 - F1: 0.5466
sub_28:Test (Best Model) - Loss: 13.8093 - Accuracy: 0.5312 - F1: 0.5195
sub_28:Test (Best Model) - Loss: 8.9700 - Accuracy: 0.5000 - F1: 0.4921
sub_28:Test (Best Model) - Loss: 7.0326 - Accuracy: 0.6250 - F1: 0.5636
sub_28:Test (Best Model) - Loss: 8.3533 - Accuracy: 0.6250 - F1: 0.5844
sub_28:Test (Best Model) - Loss: 6.5568 - Accuracy: 0.5312 - F1: 0.4910
sub_28:Test (Best Model) - Loss: 3.5196 - Accuracy: 0.4062 - F1: 0.3914
sub_28:Test (Best Model) - Loss: 3.3709 - Accuracy: 0.6250 - F1: 0.6190
sub_28:Test (Best Model) - Loss: 3.0864 - Accuracy: 0.6250 - F1: 0.6000
sub_28:Test (Best Model) - Loss: 2.8167 - Accuracy: 0.4688 - F1: 0.4421
sub_29:Test (Best Model) - Loss: 2.0007 - Accuracy: 0.7812 - F1: 0.7703
sub_29:Test (Best Model) - Loss: 4.4415 - Accuracy: 0.6875 - F1: 0.6667
sub_29:Test (Best Model) - Loss: 6.3855 - Accuracy: 0.6875 - F1: 0.6875
sub_29:Test (Best Model) - Loss: 1.7371 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 9.7271 - Accuracy: 0.6875 - F1: 0.6135
sub_29:Test (Best Model) - Loss: 3.1431 - Accuracy: 0.8125 - F1: 0.8057
sub_29:Test (Best Model) - Loss: 2.9293 - Accuracy: 0.5938 - F1: 0.5901
sub_29:Test (Best Model) - Loss: 1.0687 - Accuracy: 0.7500 - F1: 0.7490
sub_29:Test (Best Model) - Loss: 3.1398 - Accuracy: 0.7812 - F1: 0.7625
sub_29:Test (Best Model) - Loss: 0.9517 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 1.8546 - Accuracy: 0.8182 - F1: 0.8180
sub_29:Test (Best Model) - Loss: 2.2643 - Accuracy: 0.8485 - F1: 0.8479
sub_29:Test (Best Model) - Loss: 0.9897 - Accuracy: 0.9091 - F1: 0.9091
sub_29:Test (Best Model) - Loss: 3.3884 - Accuracy: 0.8485 - F1: 0.8479
sub_29:Test (Best Model) - Loss: 3.3735 - Accuracy: 0.9091 - F1: 0.9077

=== Summary Results ===

acc: 58.85 ± 7.72
F1: 55.42 ± 8.61
acc-in: 66.05 ± 5.92
F1-in: 62.89 ± 6.92
