lr: 0.001
sub_1:Test (Best Model) - Loss: 0.5055 - Accuracy: 0.9688 - F1: 0.9685
sub_1:Test (Best Model) - Loss: 7.8674 - Accuracy: 0.8125 - F1: 0.7922
sub_1:Test (Best Model) - Loss: 3.4748 - Accuracy: 0.8750 - F1: 0.8704
sub_1:Test (Best Model) - Loss: 6.0753 - Accuracy: 0.8125 - F1: 0.7922
sub_1:Test (Best Model) - Loss: 2.7210 - Accuracy: 0.9688 - F1: 0.9685
sub_1:Test (Best Model) - Loss: 5.6315 - Accuracy: 0.9091 - F1: 0.9060
sub_1:Test (Best Model) - Loss: 0.7820 - Accuracy: 0.9697 - F1: 0.9696
sub_1:Test (Best Model) - Loss: 3.1024 - Accuracy: 0.9091 - F1: 0.9088
sub_1:Test (Best Model) - Loss: 3.9706 - Accuracy: 0.9697 - F1: 0.9692
sub_1:Test (Best Model) - Loss: 7.4310 - Accuracy: 0.9091 - F1: 0.9060
sub_1:Test (Best Model) - Loss: 2.0225 - Accuracy: 0.9375 - F1: 0.9365
sub_1:Test (Best Model) - Loss: 6.1582 - Accuracy: 0.8438 - F1: 0.8436
sub_1:Test (Best Model) - Loss: 4.9124 - Accuracy: 0.8438 - F1: 0.8424
sub_1:Test (Best Model) - Loss: 0.0099 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.6424 - Accuracy: 0.9688 - F1: 0.9685
sub_2:Test (Best Model) - Loss: 3.9371 - Accuracy: 0.7576 - F1: 0.7574
sub_2:Test (Best Model) - Loss: 3.1283 - Accuracy: 0.7879 - F1: 0.7847
sub_2:Test (Best Model) - Loss: 17.9760 - Accuracy: 0.6061 - F1: 0.6046
sub_2:Test (Best Model) - Loss: 7.4090 - Accuracy: 0.6667 - F1: 0.6667
sub_2:Test (Best Model) - Loss: 10.0971 - Accuracy: 0.7273 - F1: 0.7263
sub_2:Test (Best Model) - Loss: 4.8703 - Accuracy: 0.6875 - F1: 0.6667
sub_2:Test (Best Model) - Loss: 21.1834 - Accuracy: 0.6250 - F1: 0.5000
sub_2:Test (Best Model) - Loss: 14.5761 - Accuracy: 0.6250 - F1: 0.6250
sub_2:Test (Best Model) - Loss: 5.4872 - Accuracy: 0.7188 - F1: 0.7046
sub_2:Test (Best Model) - Loss: 4.0719 - Accuracy: 0.6875 - F1: 0.6825
sub_2:Test (Best Model) - Loss: 14.9800 - Accuracy: 0.7576 - F1: 0.7381
sub_2:Test (Best Model) - Loss: 7.6125 - Accuracy: 0.6970 - F1: 0.6944
sub_2:Test (Best Model) - Loss: 6.9543 - Accuracy: 0.7879 - F1: 0.7746
sub_2:Test (Best Model) - Loss: 17.3279 - Accuracy: 0.6364 - F1: 0.6192
sub_2:Test (Best Model) - Loss: 23.4469 - Accuracy: 0.6364 - F1: 0.6333
sub_3:Test (Best Model) - Loss: 14.1876 - Accuracy: 0.4688 - F1: 0.4640
sub_3:Test (Best Model) - Loss: 7.0109 - Accuracy: 0.7188 - F1: 0.7046
sub_3:Test (Best Model) - Loss: 7.7516 - Accuracy: 0.6562 - F1: 0.6476
sub_3:Test (Best Model) - Loss: 7.2873 - Accuracy: 0.6562 - F1: 0.6390
sub_3:Test (Best Model) - Loss: 8.6392 - Accuracy: 0.6250 - F1: 0.6250
sub_3:Test (Best Model) - Loss: 17.9084 - Accuracy: 0.5455 - F1: 0.4762
sub_3:Test (Best Model) - Loss: 12.6377 - Accuracy: 0.5455 - F1: 0.5299
sub_3:Test (Best Model) - Loss: 9.1441 - Accuracy: 0.6667 - F1: 0.6617
sub_3:Test (Best Model) - Loss: 16.6417 - Accuracy: 0.5455 - F1: 0.4058
sub_3:Test (Best Model) - Loss: 23.8049 - Accuracy: 0.6970 - F1: 0.6413
sub_3:Test (Best Model) - Loss: 16.2576 - Accuracy: 0.5152 - F1: 0.4762
sub_3:Test (Best Model) - Loss: 13.6752 - Accuracy: 0.4545 - F1: 0.4107
sub_3:Test (Best Model) - Loss: 21.0693 - Accuracy: 0.5455 - F1: 0.4058
sub_3:Test (Best Model) - Loss: 12.7002 - Accuracy: 0.6061 - F1: 0.5662
sub_3:Test (Best Model) - Loss: 20.8695 - Accuracy: 0.5455 - F1: 0.4995
sub_4:Test (Best Model) - Loss: 9.8171 - Accuracy: 0.7273 - F1: 0.6857
sub_4:Test (Best Model) - Loss: 2.2184 - Accuracy: 0.8485 - F1: 0.8462
sub_4:Test (Best Model) - Loss: 6.5356 - Accuracy: 0.8788 - F1: 0.8731
sub_4:Test (Best Model) - Loss: 2.4291 - Accuracy: 0.9394 - F1: 0.9380
sub_4:Test (Best Model) - Loss: 12.3779 - Accuracy: 0.8485 - F1: 0.8390
sub_4:Test (Best Model) - Loss: 4.5344 - Accuracy: 0.8485 - F1: 0.8390
sub_4:Test (Best Model) - Loss: 19.2812 - Accuracy: 0.8485 - F1: 0.8390
sub_4:Test (Best Model) - Loss: 4.3940 - Accuracy: 0.7879 - F1: 0.7664
sub_4:Test (Best Model) - Loss: 2.9803 - Accuracy: 0.9394 - F1: 0.9380
sub_4:Test (Best Model) - Loss: 3.7755 - Accuracy: 0.9394 - F1: 0.9389
sub_4:Test (Best Model) - Loss: 1.2159 - Accuracy: 0.9697 - F1: 0.9692
sub_4:Test (Best Model) - Loss: 13.1656 - Accuracy: 0.5455 - F1: 0.4995
sub_4:Test (Best Model) - Loss: 11.0660 - Accuracy: 0.6667 - F1: 0.6617
sub_4:Test (Best Model) - Loss: 29.9385 - Accuracy: 0.6061 - F1: 0.5662
sub_4:Test (Best Model) - Loss: 16.3394 - Accuracy: 0.5758 - F1: 0.5558
sub_5:Test (Best Model) - Loss: 15.5737 - Accuracy: 0.5938 - F1: 0.5836
sub_5:Test (Best Model) - Loss: 31.3432 - Accuracy: 0.6562 - F1: 0.6102
sub_5:Test (Best Model) - Loss: 20.4742 - Accuracy: 0.5312 - F1: 0.5077
sub_5:Test (Best Model) - Loss: 14.2680 - Accuracy: 0.6875 - F1: 0.6825
sub_5:Test (Best Model) - Loss: 14.5829 - Accuracy: 0.7188 - F1: 0.7046
sub_5:Test (Best Model) - Loss: 21.1353 - Accuracy: 0.5625 - F1: 0.5333
sub_5:Test (Best Model) - Loss: 13.8723 - Accuracy: 0.5625 - F1: 0.5466
sub_5:Test (Best Model) - Loss: 44.5584 - Accuracy: 0.4375 - F1: 0.3043
sub_5:Test (Best Model) - Loss: 28.2669 - Accuracy: 0.7812 - F1: 0.7519
sub_5:Test (Best Model) - Loss: 3.3978 - Accuracy: 0.7500 - F1: 0.7460
sub_5:Test (Best Model) - Loss: 7.6271 - Accuracy: 0.6250 - F1: 0.6113
sub_5:Test (Best Model) - Loss: 32.0893 - Accuracy: 0.4375 - F1: 0.3455
sub_5:Test (Best Model) - Loss: 12.1741 - Accuracy: 0.6562 - F1: 0.6532
sub_5:Test (Best Model) - Loss: 8.9354 - Accuracy: 0.7188 - F1: 0.7163
sub_5:Test (Best Model) - Loss: 20.2057 - Accuracy: 0.5312 - F1: 0.4684
sub_6:Test (Best Model) - Loss: 21.8118 - Accuracy: 0.6562 - F1: 0.6102
sub_6:Test (Best Model) - Loss: 21.2690 - Accuracy: 0.5312 - F1: 0.5077
sub_6:Test (Best Model) - Loss: 15.9324 - Accuracy: 0.5938 - F1: 0.5733
sub_6:Test (Best Model) - Loss: 6.8317 - Accuracy: 0.6250 - F1: 0.6250
sub_6:Test (Best Model) - Loss: 4.7797 - Accuracy: 0.6875 - F1: 0.6875
sub_6:Test (Best Model) - Loss: 56.9413 - Accuracy: 0.6364 - F1: 0.5417
sub_6:Test (Best Model) - Loss: 23.9406 - Accuracy: 0.5152 - F1: 0.3889
sub_6:Test (Best Model) - Loss: 13.4715 - Accuracy: 0.6970 - F1: 0.6898
sub_6:Test (Best Model) - Loss: 24.3243 - Accuracy: 0.6061 - F1: 0.5815
sub_6:Test (Best Model) - Loss: 40.4302 - Accuracy: 0.6970 - F1: 0.6413
sub_6:Test (Best Model) - Loss: 11.7354 - Accuracy: 0.6970 - F1: 0.6898
sub_6:Test (Best Model) - Loss: 9.7279 - Accuracy: 0.5758 - F1: 0.5658
sub_6:Test (Best Model) - Loss: 3.9554 - Accuracy: 0.7576 - F1: 0.7574
sub_6:Test (Best Model) - Loss: 9.5743 - Accuracy: 0.7576 - F1: 0.7462
sub_6:Test (Best Model) - Loss: 3.4372 - Accuracy: 0.7273 - F1: 0.7232
sub_7:Test (Best Model) - Loss: 8.8030 - Accuracy: 0.5625 - F1: 0.5333
sub_7:Test (Best Model) - Loss: 10.0983 - Accuracy: 0.7188 - F1: 0.7046
sub_7:Test (Best Model) - Loss: 12.2632 - Accuracy: 0.5312 - F1: 0.5077
sub_7:Test (Best Model) - Loss: 9.0894 - Accuracy: 0.6875 - F1: 0.6761
sub_7:Test (Best Model) - Loss: 13.7778 - Accuracy: 0.6250 - F1: 0.6235
sub_7:Test (Best Model) - Loss: 17.9550 - Accuracy: 0.5625 - F1: 0.5608
sub_7:Test (Best Model) - Loss: 12.9846 - Accuracy: 0.4375 - F1: 0.4286
sub_7:Test (Best Model) - Loss: 18.9004 - Accuracy: 0.5625 - F1: 0.5466
sub_7:Test (Best Model) - Loss: 9.7396 - Accuracy: 0.5938 - F1: 0.5901
sub_7:Test (Best Model) - Loss: 8.5868 - Accuracy: 0.6875 - F1: 0.6135
sub_7:Test (Best Model) - Loss: 11.1093 - Accuracy: 0.5312 - F1: 0.5271
sub_7:Test (Best Model) - Loss: 12.9085 - Accuracy: 0.5312 - F1: 0.5195
sub_7:Test (Best Model) - Loss: 11.6466 - Accuracy: 0.5312 - F1: 0.5077
sub_7:Test (Best Model) - Loss: 5.9686 - Accuracy: 0.8438 - F1: 0.8303
sub_7:Test (Best Model) - Loss: 6.9275 - Accuracy: 0.7812 - F1: 0.7810
sub_8:Test (Best Model) - Loss: 3.1300 - Accuracy: 0.8125 - F1: 0.8000
sub_8:Test (Best Model) - Loss: 7.5909 - Accuracy: 0.8438 - F1: 0.8436
sub_8:Test (Best Model) - Loss: 3.1274 - Accuracy: 0.9062 - F1: 0.9015
sub_8:Test (Best Model) - Loss: 10.8237 - Accuracy: 0.7500 - F1: 0.7409
sub_8:Test (Best Model) - Loss: 3.6437 - Accuracy: 0.8750 - F1: 0.8704
sub_8:Test (Best Model) - Loss: 3.8288 - Accuracy: 0.9062 - F1: 0.9015
sub_8:Test (Best Model) - Loss: 8.6365 - Accuracy: 0.8750 - F1: 0.8667
sub_8:Test (Best Model) - Loss: 3.9438 - Accuracy: 0.9062 - F1: 0.9015
sub_8:Test (Best Model) - Loss: 4.8034 - Accuracy: 0.9062 - F1: 0.9039
sub_8:Test (Best Model) - Loss: 4.2264 - Accuracy: 0.8125 - F1: 0.7922
sub_8:Test (Best Model) - Loss: 10.1475 - Accuracy: 0.7500 - F1: 0.7490
sub_8:Test (Best Model) - Loss: 0.2174 - Accuracy: 0.9375 - F1: 0.9352
sub_8:Test (Best Model) - Loss: 2.5512 - Accuracy: 0.9062 - F1: 0.9015
sub_8:Test (Best Model) - Loss: 0.9513 - Accuracy: 0.9062 - F1: 0.9015
sub_8:Test (Best Model) - Loss: 5.7602 - Accuracy: 0.8438 - F1: 0.8303
sub_9:Test (Best Model) - Loss: 3.3402 - Accuracy: 0.7812 - F1: 0.7519
sub_9:Test (Best Model) - Loss: 0.0375 - Accuracy: 0.9688 - F1: 0.9680
sub_9:Test (Best Model) - Loss: 3.7617 - Accuracy: 0.8750 - F1: 0.8667
sub_9:Test (Best Model) - Loss: 28.9927 - Accuracy: 0.7812 - F1: 0.7519
sub_9:Test (Best Model) - Loss: 22.3977 - Accuracy: 0.7812 - F1: 0.7519
sub_9:Test (Best Model) - Loss: 17.6295 - Accuracy: 0.5625 - F1: 0.5152
sub_9:Test (Best Model) - Loss: 29.3250 - Accuracy: 0.5312 - F1: 0.4910
sub_9:Test (Best Model) - Loss: 36.2208 - Accuracy: 0.6250 - F1: 0.6190
sub_9:Test (Best Model) - Loss: 42.3513 - Accuracy: 0.5938 - F1: 0.5836
sub_9:Test (Best Model) - Loss: 19.2716 - Accuracy: 0.7188 - F1: 0.7185
sub_9:Test (Best Model) - Loss: 14.3421 - Accuracy: 0.7500 - F1: 0.7229
sub_9:Test (Best Model) - Loss: 6.6409 - Accuracy: 0.9688 - F1: 0.9685
sub_9:Test (Best Model) - Loss: 12.3454 - Accuracy: 0.8125 - F1: 0.7922
sub_9:Test (Best Model) - Loss: 22.2324 - Accuracy: 0.8125 - F1: 0.8000
sub_9:Test (Best Model) - Loss: 14.1646 - Accuracy: 0.8438 - F1: 0.8359
sub_10:Test (Best Model) - Loss: 11.2483 - Accuracy: 0.6250 - F1: 0.5000
sub_10:Test (Best Model) - Loss: 2.4477 - Accuracy: 0.9062 - F1: 0.9054
sub_10:Test (Best Model) - Loss: 2.5218 - Accuracy: 0.7500 - F1: 0.7229
sub_10:Test (Best Model) - Loss: 4.4152 - Accuracy: 0.8125 - F1: 0.7922
sub_10:Test (Best Model) - Loss: 1.7719 - Accuracy: 0.9375 - F1: 0.9352
sub_10:Test (Best Model) - Loss: 13.0891 - Accuracy: 0.7500 - F1: 0.7490
sub_10:Test (Best Model) - Loss: 9.1900 - Accuracy: 0.6250 - F1: 0.6113
sub_10:Test (Best Model) - Loss: 9.0642 - Accuracy: 0.6562 - F1: 0.6102
sub_10:Test (Best Model) - Loss: 5.8499 - Accuracy: 0.8125 - F1: 0.8125
sub_10:Test (Best Model) - Loss: 12.4928 - Accuracy: 0.7812 - F1: 0.7758
sub_10:Test (Best Model) - Loss: 19.0975 - Accuracy: 0.6364 - F1: 0.5696
sub_10:Test (Best Model) - Loss: 11.2617 - Accuracy: 0.5758 - F1: 0.5754
sub_10:Test (Best Model) - Loss: 14.9231 - Accuracy: 0.6364 - F1: 0.6278
sub_10:Test (Best Model) - Loss: 9.3537 - Accuracy: 0.6667 - F1: 0.6330
sub_10:Test (Best Model) - Loss: 10.5081 - Accuracy: 0.7576 - F1: 0.7574
sub_11:Test (Best Model) - Loss: 20.3877 - Accuracy: 0.3333 - F1: 0.3327
sub_11:Test (Best Model) - Loss: 26.9351 - Accuracy: 0.3636 - F1: 0.3239
sub_11:Test (Best Model) - Loss: 17.7009 - Accuracy: 0.3939 - F1: 0.3889
sub_11:Test (Best Model) - Loss: 42.7763 - Accuracy: 0.4848 - F1: 0.3718
sub_11:Test (Best Model) - Loss: 20.6848 - Accuracy: 0.4242 - F1: 0.4242
sub_11:Test (Best Model) - Loss: 9.6778 - Accuracy: 0.5758 - F1: 0.4225
sub_11:Test (Best Model) - Loss: 12.6307 - Accuracy: 0.6061 - F1: 0.4850
sub_11:Test (Best Model) - Loss: 39.6730 - Accuracy: 0.5455 - F1: 0.4058
sub_11:Test (Best Model) - Loss: 37.8980 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 14.6889 - Accuracy: 0.5758 - F1: 0.4225
sub_11:Test (Best Model) - Loss: 26.8776 - Accuracy: 0.4242 - F1: 0.4046
sub_11:Test (Best Model) - Loss: 11.7662 - Accuracy: 0.6364 - F1: 0.5696
sub_11:Test (Best Model) - Loss: 6.8462 - Accuracy: 0.5758 - F1: 0.4653
sub_11:Test (Best Model) - Loss: 12.7498 - Accuracy: 0.6364 - F1: 0.6071
sub_11:Test (Best Model) - Loss: 12.6109 - Accuracy: 0.4545 - F1: 0.4417
sub_12:Test (Best Model) - Loss: 4.6685 - Accuracy: 0.8438 - F1: 0.8359
sub_12:Test (Best Model) - Loss: 3.6597 - Accuracy: 0.9375 - F1: 0.9352
sub_12:Test (Best Model) - Loss: 3.8513 - Accuracy: 0.7812 - F1: 0.7703
sub_12:Test (Best Model) - Loss: 6.1966 - Accuracy: 0.8125 - F1: 0.8095
sub_12:Test (Best Model) - Loss: 13.9306 - Accuracy: 0.7188 - F1: 0.6632
sub_12:Test (Best Model) - Loss: 4.7645 - Accuracy: 0.8182 - F1: 0.8036
sub_12:Test (Best Model) - Loss: 8.7275 - Accuracy: 0.5758 - F1: 0.5417
sub_12:Test (Best Model) - Loss: 1.8525 - Accuracy: 0.9394 - F1: 0.9389
sub_12:Test (Best Model) - Loss: 14.2345 - Accuracy: 0.6667 - F1: 0.5935
sub_12:Test (Best Model) - Loss: 13.3483 - Accuracy: 0.8485 - F1: 0.8390
sub_12:Test (Best Model) - Loss: 15.0350 - Accuracy: 0.5938 - F1: 0.5934
sub_12:Test (Best Model) - Loss: 15.6800 - Accuracy: 0.7188 - F1: 0.7046
sub_12:Test (Best Model) - Loss: 16.5457 - Accuracy: 0.7500 - F1: 0.7229
sub_12:Test (Best Model) - Loss: 19.5128 - Accuracy: 0.7812 - F1: 0.7625
sub_12:Test (Best Model) - Loss: 26.4043 - Accuracy: 0.7812 - F1: 0.7519
sub_13:Test (Best Model) - Loss: 1.2752 - Accuracy: 0.9688 - F1: 0.9685
sub_13:Test (Best Model) - Loss: 6.3088 - Accuracy: 0.8438 - F1: 0.8303
sub_13:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.6320 - Accuracy: 0.9375 - F1: 0.9365
sub_13:Test (Best Model) - Loss: 6.0796 - Accuracy: 0.9394 - F1: 0.9393
sub_13:Test (Best Model) - Loss: 4.3808 - Accuracy: 0.7879 - F1: 0.7871
sub_13:Test (Best Model) - Loss: 0.8821 - Accuracy: 0.9697 - F1: 0.9692
sub_13:Test (Best Model) - Loss: 2.4088 - Accuracy: 0.9091 - F1: 0.9060
sub_13:Test (Best Model) - Loss: 1.1613 - Accuracy: 0.9091 - F1: 0.9060
sub_13:Test (Best Model) - Loss: 16.1727 - Accuracy: 0.8438 - F1: 0.8436
sub_13:Test (Best Model) - Loss: 4.9947 - Accuracy: 0.8125 - F1: 0.8000
sub_13:Test (Best Model) - Loss: 1.4474 - Accuracy: 0.8750 - F1: 0.8730
sub_13:Test (Best Model) - Loss: 5.6072 - Accuracy: 0.8750 - F1: 0.8704
sub_13:Test (Best Model) - Loss: 1.6147 - Accuracy: 0.9062 - F1: 0.9015
sub_14:Test (Best Model) - Loss: 5.9363 - Accuracy: 0.8750 - F1: 0.8730
sub_14:Test (Best Model) - Loss: 7.2681 - Accuracy: 0.7188 - F1: 0.7117
sub_14:Test (Best Model) - Loss: 2.0390 - Accuracy: 0.8750 - F1: 0.8730
sub_14:Test (Best Model) - Loss: 12.3784 - Accuracy: 0.7188 - F1: 0.7163
sub_14:Test (Best Model) - Loss: 12.2769 - Accuracy: 0.5625 - F1: 0.3600
sub_14:Test (Best Model) - Loss: 0.7831 - Accuracy: 0.9688 - F1: 0.9685
sub_14:Test (Best Model) - Loss: 2.4309 - Accuracy: 0.9062 - F1: 0.9062
sub_14:Test (Best Model) - Loss: 5.6751 - Accuracy: 0.8125 - F1: 0.8118
sub_14:Test (Best Model) - Loss: 2.3587 - Accuracy: 0.8750 - F1: 0.8667
sub_14:Test (Best Model) - Loss: 1.2851 - Accuracy: 0.9062 - F1: 0.9015
sub_14:Test (Best Model) - Loss: 1.0634 - Accuracy: 0.9375 - F1: 0.9365
sub_14:Test (Best Model) - Loss: 4.6551 - Accuracy: 0.7812 - F1: 0.7758
sub_14:Test (Best Model) - Loss: 1.9523 - Accuracy: 0.9062 - F1: 0.9054
sub_14:Test (Best Model) - Loss: 8.0034 - Accuracy: 0.8438 - F1: 0.8424
sub_14:Test (Best Model) - Loss: 1.9034 - Accuracy: 0.8750 - F1: 0.8667
sub_15:Test (Best Model) - Loss: 10.3083 - Accuracy: 0.8125 - F1: 0.7922
sub_15:Test (Best Model) - Loss: 11.4768 - Accuracy: 0.8750 - F1: 0.8667
sub_15:Test (Best Model) - Loss: 15.8678 - Accuracy: 0.7812 - F1: 0.7519
sub_15:Test (Best Model) - Loss: 12.4308 - Accuracy: 0.7500 - F1: 0.7409
sub_15:Test (Best Model) - Loss: 5.8434 - Accuracy: 0.8750 - F1: 0.8667
sub_15:Test (Best Model) - Loss: 0.4887 - Accuracy: 0.9688 - F1: 0.9685
sub_15:Test (Best Model) - Loss: 10.8644 - Accuracy: 0.7188 - F1: 0.6632
sub_15:Test (Best Model) - Loss: 10.2932 - Accuracy: 0.6562 - F1: 0.6390
sub_15:Test (Best Model) - Loss: 13.4704 - Accuracy: 0.7188 - F1: 0.6632
sub_15:Test (Best Model) - Loss: 1.5459 - Accuracy: 0.9375 - F1: 0.9373
sub_15:Test (Best Model) - Loss: 35.6526 - Accuracy: 0.6250 - F1: 0.6235
sub_15:Test (Best Model) - Loss: 21.9856 - Accuracy: 0.5000 - F1: 0.4459
sub_15:Test (Best Model) - Loss: 14.1277 - Accuracy: 0.6562 - F1: 0.6532
sub_15:Test (Best Model) - Loss: 8.4911 - Accuracy: 0.6562 - F1: 0.6559
sub_15:Test (Best Model) - Loss: 35.4502 - Accuracy: 0.5000 - F1: 0.4921
sub_16:Test (Best Model) - Loss: 9.9597 - Accuracy: 0.5312 - F1: 0.5077
sub_16:Test (Best Model) - Loss: 10.8152 - Accuracy: 0.5312 - F1: 0.4910
sub_16:Test (Best Model) - Loss: 17.9214 - Accuracy: 0.5938 - F1: 0.5934
sub_16:Test (Best Model) - Loss: 6.5400 - Accuracy: 0.6562 - F1: 0.6532
sub_16:Test (Best Model) - Loss: 4.6651 - Accuracy: 0.6562 - F1: 0.6559
sub_16:Test (Best Model) - Loss: 14.0420 - Accuracy: 0.6562 - F1: 0.6559
sub_16:Test (Best Model) - Loss: 12.2748 - Accuracy: 0.6250 - F1: 0.6190
sub_16:Test (Best Model) - Loss: 16.8563 - Accuracy: 0.6250 - F1: 0.6113
sub_16:Test (Best Model) - Loss: 12.4512 - Accuracy: 0.6562 - F1: 0.6267
sub_16:Test (Best Model) - Loss: 12.6436 - Accuracy: 0.6875 - F1: 0.6537
sub_16:Test (Best Model) - Loss: 18.3963 - Accuracy: 0.5938 - F1: 0.4340
sub_16:Test (Best Model) - Loss: 17.9279 - Accuracy: 0.4688 - F1: 0.4231
sub_16:Test (Best Model) - Loss: 33.1459 - Accuracy: 0.5625 - F1: 0.4167
sub_16:Test (Best Model) - Loss: 16.1607 - Accuracy: 0.5938 - F1: 0.5393
sub_16:Test (Best Model) - Loss: 8.5176 - Accuracy: 0.3750 - F1: 0.3750
sub_17:Test (Best Model) - Loss: 16.3096 - Accuracy: 0.6061 - F1: 0.5662
sub_17:Test (Best Model) - Loss: 17.4459 - Accuracy: 0.5455 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 16.0021 - Accuracy: 0.5758 - F1: 0.4225
sub_17:Test (Best Model) - Loss: 15.6314 - Accuracy: 0.5455 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 8.4456 - Accuracy: 0.7879 - F1: 0.7746
sub_17:Test (Best Model) - Loss: 12.2808 - Accuracy: 0.4545 - F1: 0.4500
sub_17:Test (Best Model) - Loss: 39.0457 - Accuracy: 0.3939 - F1: 0.3182
sub_17:Test (Best Model) - Loss: 11.7374 - Accuracy: 0.6364 - F1: 0.6192
sub_17:Test (Best Model) - Loss: 6.5393 - Accuracy: 0.7879 - F1: 0.7746
sub_17:Test (Best Model) - Loss: 9.9609 - Accuracy: 0.5152 - F1: 0.4545
sub_17:Test (Best Model) - Loss: 7.0134 - Accuracy: 0.7188 - F1: 0.6946
sub_17:Test (Best Model) - Loss: 13.7196 - Accuracy: 0.5938 - F1: 0.5934
sub_17:Test (Best Model) - Loss: 30.2048 - Accuracy: 0.4062 - F1: 0.3552
sub_17:Test (Best Model) - Loss: 19.8993 - Accuracy: 0.4375 - F1: 0.4353
sub_17:Test (Best Model) - Loss: 20.6607 - Accuracy: 0.4688 - F1: 0.4231
sub_18:Test (Best Model) - Loss: 1.2289 - Accuracy: 0.9091 - F1: 0.9060
sub_18:Test (Best Model) - Loss: 7.8615 - Accuracy: 0.6364 - F1: 0.6278
sub_18:Test (Best Model) - Loss: 3.3806 - Accuracy: 0.8485 - F1: 0.8485
sub_18:Test (Best Model) - Loss: 1.1519 - Accuracy: 0.8788 - F1: 0.8778
sub_18:Test (Best Model) - Loss: 6.4752 - Accuracy: 0.8788 - F1: 0.8731
sub_18:Test (Best Model) - Loss: 0.3528 - Accuracy: 0.9375 - F1: 0.9373
sub_18:Test (Best Model) - Loss: 0.6102 - Accuracy: 0.9375 - F1: 0.9373
sub_18:Test (Best Model) - Loss: 0.8545 - Accuracy: 0.9375 - F1: 0.9365
sub_18:Test (Best Model) - Loss: 9.3062 - Accuracy: 0.7812 - F1: 0.7519
sub_18:Test (Best Model) - Loss: 1.8686 - Accuracy: 0.8750 - F1: 0.8745
sub_18:Test (Best Model) - Loss: 6.1225 - Accuracy: 0.8125 - F1: 0.8118
sub_18:Test (Best Model) - Loss: 1.4295 - Accuracy: 0.9688 - F1: 0.9680
sub_18:Test (Best Model) - Loss: 1.2861 - Accuracy: 0.9375 - F1: 0.9352
sub_18:Test (Best Model) - Loss: 3.2725 - Accuracy: 0.9375 - F1: 0.9352
sub_18:Test (Best Model) - Loss: 0.9752 - Accuracy: 0.9688 - F1: 0.9680
sub_19:Test (Best Model) - Loss: 17.1304 - Accuracy: 0.6250 - F1: 0.5362
sub_19:Test (Best Model) - Loss: 5.0010 - Accuracy: 0.8125 - F1: 0.7922
sub_19:Test (Best Model) - Loss: 5.1227 - Accuracy: 0.7188 - F1: 0.6946
sub_19:Test (Best Model) - Loss: 11.1028 - Accuracy: 0.5938 - F1: 0.5589
sub_19:Test (Best Model) - Loss: 8.6040 - Accuracy: 0.7500 - F1: 0.7229
sub_19:Test (Best Model) - Loss: 8.7406 - Accuracy: 0.7812 - F1: 0.7519
sub_19:Test (Best Model) - Loss: 23.6552 - Accuracy: 0.5625 - F1: 0.4167
sub_19:Test (Best Model) - Loss: 20.1804 - Accuracy: 0.6250 - F1: 0.5362
sub_19:Test (Best Model) - Loss: 23.0432 - Accuracy: 0.7500 - F1: 0.7091
sub_19:Test (Best Model) - Loss: 4.1430 - Accuracy: 0.7188 - F1: 0.7046
sub_19:Test (Best Model) - Loss: 93.5996 - Accuracy: 0.4062 - F1: 0.3267
sub_19:Test (Best Model) - Loss: 25.2947 - Accuracy: 0.4375 - F1: 0.3455
sub_19:Test (Best Model) - Loss: 40.4530 - Accuracy: 0.4375 - F1: 0.3043
sub_19:Test (Best Model) - Loss: 51.3638 - Accuracy: 0.4688 - F1: 0.3637
sub_19:Test (Best Model) - Loss: 3.2791 - Accuracy: 0.7500 - F1: 0.7490
sub_20:Test (Best Model) - Loss: 10.4295 - Accuracy: 0.8438 - F1: 0.8303
sub_20:Test (Best Model) - Loss: 9.6760 - Accuracy: 0.7812 - F1: 0.7793
sub_20:Test (Best Model) - Loss: 8.2232 - Accuracy: 0.7188 - F1: 0.7046
sub_20:Test (Best Model) - Loss: 12.9979 - Accuracy: 0.7812 - F1: 0.7625
sub_20:Test (Best Model) - Loss: 16.9898 - Accuracy: 0.5312 - F1: 0.5195
sub_20:Test (Best Model) - Loss: 11.5419 - Accuracy: 0.6562 - F1: 0.6559
sub_20:Test (Best Model) - Loss: 9.9436 - Accuracy: 0.6875 - F1: 0.6863
sub_20:Test (Best Model) - Loss: 11.4608 - Accuracy: 0.6562 - F1: 0.6390
sub_20:Test (Best Model) - Loss: 17.4886 - Accuracy: 0.7188 - F1: 0.7117
sub_20:Test (Best Model) - Loss: 12.0027 - Accuracy: 0.7812 - F1: 0.7625
sub_20:Test (Best Model) - Loss: 11.6093 - Accuracy: 0.6970 - F1: 0.6944
sub_20:Test (Best Model) - Loss: 16.9691 - Accuracy: 0.6061 - F1: 0.5926
sub_20:Test (Best Model) - Loss: 17.0053 - Accuracy: 0.6364 - F1: 0.6360
sub_20:Test (Best Model) - Loss: 29.6499 - Accuracy: 0.6667 - F1: 0.6617
sub_20:Test (Best Model) - Loss: 12.0221 - Accuracy: 0.8788 - F1: 0.8731
sub_21:Test (Best Model) - Loss: 18.9945 - Accuracy: 0.3125 - F1: 0.2667
sub_21:Test (Best Model) - Loss: 20.2302 - Accuracy: 0.4375 - F1: 0.4170
sub_21:Test (Best Model) - Loss: 30.1720 - Accuracy: 0.3750 - F1: 0.3651
sub_21:Test (Best Model) - Loss: 22.2358 - Accuracy: 0.3125 - F1: 0.3098
sub_21:Test (Best Model) - Loss: 18.7885 - Accuracy: 0.5625 - F1: 0.4589
sub_21:Test (Best Model) - Loss: 15.1183 - Accuracy: 0.5625 - F1: 0.4167
sub_21:Test (Best Model) - Loss: 12.9186 - Accuracy: 0.6250 - F1: 0.5362
sub_21:Test (Best Model) - Loss: 20.7775 - Accuracy: 0.4688 - F1: 0.4421
sub_21:Test (Best Model) - Loss: 20.2610 - Accuracy: 0.5938 - F1: 0.5135
sub_21:Test (Best Model) - Loss: 12.2954 - Accuracy: 0.4688 - F1: 0.4640
sub_21:Test (Best Model) - Loss: 13.7694 - Accuracy: 0.4062 - F1: 0.3914
sub_21:Test (Best Model) - Loss: 10.7980 - Accuracy: 0.4688 - F1: 0.4640
sub_21:Test (Best Model) - Loss: 17.0330 - Accuracy: 0.2188 - F1: 0.2180
sub_21:Test (Best Model) - Loss: 20.3329 - Accuracy: 0.4062 - F1: 0.3914
sub_21:Test (Best Model) - Loss: 9.7824 - Accuracy: 0.5625 - F1: 0.5556
sub_22:Test (Best Model) - Loss: 10.0865 - Accuracy: 0.7188 - F1: 0.7185
sub_22:Test (Best Model) - Loss: 13.0811 - Accuracy: 0.7812 - F1: 0.7810
sub_22:Test (Best Model) - Loss: 5.5659 - Accuracy: 0.7500 - F1: 0.7091
sub_22:Test (Best Model) - Loss: 3.4708 - Accuracy: 0.8750 - F1: 0.8667
sub_22:Test (Best Model) - Loss: 24.4439 - Accuracy: 0.8750 - F1: 0.8667
sub_22:Test (Best Model) - Loss: 9.9593 - Accuracy: 0.7273 - F1: 0.6857
sub_22:Test (Best Model) - Loss: 1.4438 - Accuracy: 0.9091 - F1: 0.9077
sub_22:Test (Best Model) - Loss: 8.9227 - Accuracy: 0.7879 - F1: 0.7664
sub_22:Test (Best Model) - Loss: 9.8515 - Accuracy: 0.7273 - F1: 0.6857
sub_22:Test (Best Model) - Loss: 2.8560 - Accuracy: 0.8788 - F1: 0.8787
sub_22:Test (Best Model) - Loss: 9.3267 - Accuracy: 0.8125 - F1: 0.8057
sub_22:Test (Best Model) - Loss: 5.1056 - Accuracy: 0.8750 - F1: 0.8745
sub_22:Test (Best Model) - Loss: 13.2494 - Accuracy: 0.7188 - F1: 0.7163
sub_22:Test (Best Model) - Loss: 17.9154 - Accuracy: 0.7812 - F1: 0.7519
sub_22:Test (Best Model) - Loss: 7.6354 - Accuracy: 0.8438 - F1: 0.8359
sub_23:Test (Best Model) - Loss: 18.2145 - Accuracy: 0.6970 - F1: 0.6726
sub_23:Test (Best Model) - Loss: 1.4232 - Accuracy: 0.9091 - F1: 0.9077
sub_23:Test (Best Model) - Loss: 0.9628 - Accuracy: 0.9697 - F1: 0.9692
sub_23:Test (Best Model) - Loss: 10.0941 - Accuracy: 0.7879 - F1: 0.7664
sub_23:Test (Best Model) - Loss: 0.8185 - Accuracy: 0.9697 - F1: 0.9692
sub_23:Test (Best Model) - Loss: 24.4619 - Accuracy: 0.5000 - F1: 0.4182
sub_23:Test (Best Model) - Loss: 33.3587 - Accuracy: 0.6250 - F1: 0.6000
sub_23:Test (Best Model) - Loss: 14.9250 - Accuracy: 0.5938 - F1: 0.5589
sub_23:Test (Best Model) - Loss: 7.9927 - Accuracy: 0.7812 - F1: 0.7810
sub_23:Test (Best Model) - Loss: 14.6227 - Accuracy: 0.7500 - F1: 0.7490
sub_23:Test (Best Model) - Loss: 4.0887 - Accuracy: 0.9091 - F1: 0.9060
sub_23:Test (Best Model) - Loss: 18.4893 - Accuracy: 0.7273 - F1: 0.6857
sub_23:Test (Best Model) - Loss: 9.3202 - Accuracy: 0.7879 - F1: 0.7664
sub_23:Test (Best Model) - Loss: 34.6483 - Accuracy: 0.7576 - F1: 0.7273
sub_23:Test (Best Model) - Loss: 35.8775 - Accuracy: 0.7576 - F1: 0.7273
sub_24:Test (Best Model) - Loss: 7.6941 - Accuracy: 0.5938 - F1: 0.5836
sub_24:Test (Best Model) - Loss: 6.9110 - Accuracy: 0.5312 - F1: 0.5308
sub_24:Test (Best Model) - Loss: 15.5667 - Accuracy: 0.4688 - F1: 0.3976
sub_24:Test (Best Model) - Loss: 11.4574 - Accuracy: 0.5625 - F1: 0.5466
sub_24:Test (Best Model) - Loss: 7.8337 - Accuracy: 0.5312 - F1: 0.5077
sub_24:Test (Best Model) - Loss: 9.2130 - Accuracy: 0.6562 - F1: 0.6267
sub_24:Test (Best Model) - Loss: 4.0454 - Accuracy: 0.7188 - F1: 0.7046
sub_24:Test (Best Model) - Loss: 4.1281 - Accuracy: 0.6250 - F1: 0.6000
sub_24:Test (Best Model) - Loss: 4.7172 - Accuracy: 0.7500 - F1: 0.7229
sub_24:Test (Best Model) - Loss: 9.3874 - Accuracy: 0.5938 - F1: 0.5135
sub_24:Test (Best Model) - Loss: 9.9789 - Accuracy: 0.6250 - F1: 0.5636
sub_24:Test (Best Model) - Loss: 8.4658 - Accuracy: 0.5938 - F1: 0.5393
sub_24:Test (Best Model) - Loss: 8.3164 - Accuracy: 0.5625 - F1: 0.5466
sub_24:Test (Best Model) - Loss: 18.8663 - Accuracy: 0.5312 - F1: 0.5271
sub_24:Test (Best Model) - Loss: 8.2333 - Accuracy: 0.4688 - F1: 0.4640
sub_25:Test (Best Model) - Loss: 22.4192 - Accuracy: 0.5758 - F1: 0.4225
sub_25:Test (Best Model) - Loss: 17.3063 - Accuracy: 0.4848 - F1: 0.4672
sub_25:Test (Best Model) - Loss: 7.2090 - Accuracy: 0.6667 - F1: 0.6654
sub_25:Test (Best Model) - Loss: 20.3359 - Accuracy: 0.5758 - F1: 0.4653
sub_25:Test (Best Model) - Loss: 14.0955 - Accuracy: 0.6061 - F1: 0.6002
sub_25:Test (Best Model) - Loss: 10.4265 - Accuracy: 0.6875 - F1: 0.6761
sub_25:Test (Best Model) - Loss: 4.1318 - Accuracy: 0.7188 - F1: 0.7046
sub_25:Test (Best Model) - Loss: 9.3804 - Accuracy: 0.6562 - F1: 0.6102
sub_25:Test (Best Model) - Loss: 5.3773 - Accuracy: 0.5312 - F1: 0.5271
sub_25:Test (Best Model) - Loss: 7.3738 - Accuracy: 0.7812 - F1: 0.7625
sub_25:Test (Best Model) - Loss: 10.8269 - Accuracy: 0.7812 - F1: 0.7625
sub_25:Test (Best Model) - Loss: 12.2182 - Accuracy: 0.5000 - F1: 0.4980
sub_25:Test (Best Model) - Loss: 10.6067 - Accuracy: 0.6250 - F1: 0.5636
sub_25:Test (Best Model) - Loss: 7.9077 - Accuracy: 0.6875 - F1: 0.6364
sub_25:Test (Best Model) - Loss: 13.8637 - Accuracy: 0.5625 - F1: 0.4909
sub_26:Test (Best Model) - Loss: 1.3765 - Accuracy: 0.9091 - F1: 0.9091
sub_26:Test (Best Model) - Loss: 11.5742 - Accuracy: 0.8182 - F1: 0.8180
sub_26:Test (Best Model) - Loss: 0.3738 - Accuracy: 0.9697 - F1: 0.9692
sub_26:Test (Best Model) - Loss: 2.1512 - Accuracy: 0.9394 - F1: 0.9380
sub_26:Test (Best Model) - Loss: 3.1412 - Accuracy: 0.9697 - F1: 0.9692
sub_26:Test (Best Model) - Loss: 44.8821 - Accuracy: 0.4688 - F1: 0.3637
sub_26:Test (Best Model) - Loss: 2.3260 - Accuracy: 0.9375 - F1: 0.9352
sub_26:Test (Best Model) - Loss: 86.6787 - Accuracy: 0.4688 - F1: 0.3637
sub_26:Test (Best Model) - Loss: 45.8646 - Accuracy: 0.5000 - F1: 0.4182
sub_26:Test (Best Model) - Loss: 2.3474 - Accuracy: 0.9062 - F1: 0.9015
sub_26:Test (Best Model) - Loss: 4.3950 - Accuracy: 0.9375 - F1: 0.9352
sub_26:Test (Best Model) - Loss: 9.5997 - Accuracy: 0.8750 - F1: 0.8667
sub_26:Test (Best Model) - Loss: 1.6092 - Accuracy: 0.9688 - F1: 0.9680
sub_26:Test (Best Model) - Loss: 12.5500 - Accuracy: 0.7812 - F1: 0.7519
sub_26:Test (Best Model) - Loss: 6.7447 - Accuracy: 0.9375 - F1: 0.9352
sub_27:Test (Best Model) - Loss: 16.3096 - Accuracy: 0.6061 - F1: 0.5662
sub_27:Test (Best Model) - Loss: 17.4459 - Accuracy: 0.5455 - F1: 0.3529
sub_27:Test (Best Model) - Loss: 16.0021 - Accuracy: 0.5758 - F1: 0.4225
sub_27:Test (Best Model) - Loss: 15.6314 - Accuracy: 0.5455 - F1: 0.3529
sub_27:Test (Best Model) - Loss: 8.4456 - Accuracy: 0.7879 - F1: 0.7746
sub_27:Test (Best Model) - Loss: 12.2808 - Accuracy: 0.4545 - F1: 0.4500
sub_27:Test (Best Model) - Loss: 39.0457 - Accuracy: 0.3939 - F1: 0.3182
sub_27:Test (Best Model) - Loss: 11.7374 - Accuracy: 0.6364 - F1: 0.6192
sub_27:Test (Best Model) - Loss: 6.5393 - Accuracy: 0.7879 - F1: 0.7746
sub_27:Test (Best Model) - Loss: 9.9609 - Accuracy: 0.5152 - F1: 0.4545
sub_27:Test (Best Model) - Loss: 7.0134 - Accuracy: 0.7188 - F1: 0.6946
sub_27:Test (Best Model) - Loss: 13.7196 - Accuracy: 0.5938 - F1: 0.5934
sub_27:Test (Best Model) - Loss: 30.2048 - Accuracy: 0.4062 - F1: 0.3552
sub_27:Test (Best Model) - Loss: 19.8993 - Accuracy: 0.4375 - F1: 0.4353
sub_27:Test (Best Model) - Loss: 20.6607 - Accuracy: 0.4688 - F1: 0.4231
sub_28:Test (Best Model) - Loss: 6.8885 - Accuracy: 0.6562 - F1: 0.5883
sub_28:Test (Best Model) - Loss: 3.6235 - Accuracy: 0.7500 - F1: 0.7333
sub_28:Test (Best Model) - Loss: 7.3432 - Accuracy: 0.5625 - F1: 0.5608
sub_28:Test (Best Model) - Loss: 15.0256 - Accuracy: 0.6250 - F1: 0.6000
sub_28:Test (Best Model) - Loss: 11.4288 - Accuracy: 0.4375 - F1: 0.4170
sub_28:Test (Best Model) - Loss: 34.1290 - Accuracy: 0.3750 - F1: 0.3522
sub_28:Test (Best Model) - Loss: 74.2790 - Accuracy: 0.4688 - F1: 0.4231
sub_28:Test (Best Model) - Loss: 36.6349 - Accuracy: 0.3750 - F1: 0.3651
sub_28:Test (Best Model) - Loss: 36.0166 - Accuracy: 0.5312 - F1: 0.5077
sub_28:Test (Best Model) - Loss: 29.0206 - Accuracy: 0.5312 - F1: 0.5195
sub_28:Test (Best Model) - Loss: 21.4477 - Accuracy: 0.4375 - F1: 0.4170
sub_28:Test (Best Model) - Loss: 29.3344 - Accuracy: 0.4062 - F1: 0.3914
sub_28:Test (Best Model) - Loss: 53.2508 - Accuracy: 0.4062 - F1: 0.2889
sub_28:Test (Best Model) - Loss: 29.7914 - Accuracy: 0.4062 - F1: 0.3552
sub_28:Test (Best Model) - Loss: 51.8821 - Accuracy: 0.4062 - F1: 0.2889
sub_29:Test (Best Model) - Loss: 14.6922 - Accuracy: 0.8438 - F1: 0.8303
sub_29:Test (Best Model) - Loss: 14.3073 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 4.9758 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 41.2105 - Accuracy: 0.8438 - F1: 0.8303
sub_29:Test (Best Model) - Loss: 15.9986 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 0.2046 - Accuracy: 0.9688 - F1: 0.9685
sub_29:Test (Best Model) - Loss: 1.6915 - Accuracy: 0.9062 - F1: 0.9062
sub_29:Test (Best Model) - Loss: 0.5144 - Accuracy: 0.9688 - F1: 0.9680
sub_29:Test (Best Model) - Loss: 7.3325 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 6.8612 - Accuracy: 0.9375 - F1: 0.9352
sub_29:Test (Best Model) - Loss: 2.1667 - Accuracy: 0.9697 - F1: 0.9696
sub_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.6435 - Accuracy: 0.9091 - F1: 0.9088
sub_29:Test (Best Model) - Loss: 2.0255 - Accuracy: 0.9697 - F1: 0.9696

=== Summary Results ===

acc: 70.36 ± 13.34
F1: 67.71 ± 14.91
acc-in: 84.62 ± 9.30
F1-in: 82.58 ± 11.01
