lr: 0.001
sub_1:Test (Best Model) - Loss: 0.8914 - Accuracy: 0.8095 - F1: 0.8078
sub_2:Test (Best Model) - Loss: 0.8456 - Accuracy: 0.7976 - F1: 0.7910
sub_9:Test (Best Model) - Loss: 0.6271 - Accuracy: 0.8452 - F1: 0.8414
sub_8:Test (Best Model) - Loss: 0.0633 - Accuracy: 0.9762 - F1: 0.9762
sub_10:Test (Best Model) - Loss: 0.2655 - Accuracy: 0.9167 - F1: 0.9167
sub_3:Test (Best Model) - Loss: 0.1216 - Accuracy: 0.9405 - F1: 0.9405
sub_6:Test (Best Model) - Loss: 0.7236 - Accuracy: 0.7262 - F1: 0.7040
sub_4:Test (Best Model) - Loss: 0.5231 - Accuracy: 0.8571 - F1: 0.8542
sub_5:Test (Best Model) - Loss: 0.8465 - Accuracy: 0.6786 - F1: 0.6415
sub_9:Test (Best Model) - Loss: 0.0714 - Accuracy: 0.9881 - F1: 0.9881
sub_7:Test (Best Model) - Loss: 1.0660 - Accuracy: 0.6190 - F1: 0.5634
sub_6:Test (Best Model) - Loss: 2.1675 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 1.2756 - Accuracy: 0.6786 - F1: 0.6415
sub_10:Test (Best Model) - Loss: 1.0188 - Accuracy: 0.5952 - F1: 0.5361
sub_1:Test (Best Model) - Loss: 0.3770 - Accuracy: 0.9405 - F1: 0.9404
sub_5:Test (Best Model) - Loss: 1.5827 - Accuracy: 0.6548 - F1: 0.6080
sub_2:Test (Best Model) - Loss: 0.6170 - Accuracy: 0.7976 - F1: 0.7910
sub_6:Test (Best Model) - Loss: 0.7862 - Accuracy: 0.5000 - F1: 0.3333
sub_8:Test (Best Model) - Loss: 0.2913 - Accuracy: 0.8571 - F1: 0.8542
sub_3:Test (Best Model) - Loss: 0.5966 - Accuracy: 0.6667 - F1: 0.6250
sub_4:Test (Best Model) - Loss: 1.9112 - Accuracy: 0.5595 - F1: 0.4535
sub_7:Test (Best Model) - Loss: 1.8981 - Accuracy: 0.5119 - F1: 0.3593
sub_9:Test (Best Model) - Loss: 0.8201 - Accuracy: 0.7143 - F1: 0.6889
sub_10:Test (Best Model) - Loss: 0.2739 - Accuracy: 0.9048 - F1: 0.9045
sub_2:Test (Best Model) - Loss: 0.2144 - Accuracy: 0.9286 - F1: 0.9286
sub_6:Test (Best Model) - Loss: 0.7919 - Accuracy: 0.8333 - F1: 0.8286
sub_5:Test (Best Model) - Loss: 2.1560 - Accuracy: 0.5833 - F1: 0.4958
sub_1:Test (Best Model) - Loss: 0.2970 - Accuracy: 0.9048 - F1: 0.9048
sub_3:Test (Best Model) - Loss: 0.2366 - Accuracy: 0.8810 - F1: 0.8792
sub_2:Test (Best Model) - Loss: 0.7536 - Accuracy: 0.7262 - F1: 0.7040
sub_8:Test (Best Model) - Loss: 0.1277 - Accuracy: 0.9286 - F1: 0.9284
sub_9:Test (Best Model) - Loss: 0.4798 - Accuracy: 0.8929 - F1: 0.8916
sub_3:Test (Best Model) - Loss: 1.5104 - Accuracy: 0.5119 - F1: 0.3593
sub_1:Test (Best Model) - Loss: 0.2872 - Accuracy: 0.9167 - F1: 0.9167
sub_4:Test (Best Model) - Loss: 1.6563 - Accuracy: 0.7143 - F1: 0.6889
sub_10:Test (Best Model) - Loss: 0.3178 - Accuracy: 0.9167 - F1: 0.9166
sub_8:Test (Best Model) - Loss: 0.1600 - Accuracy: 0.9405 - F1: 0.9405
sub_9:Test (Best Model) - Loss: 0.2176 - Accuracy: 0.9167 - F1: 0.9161
sub_3:Test (Best Model) - Loss: 0.3684 - Accuracy: 0.8214 - F1: 0.8155
sub_7:Test (Best Model) - Loss: 1.9726 - Accuracy: 0.5000 - F1: 0.3534
sub_5:Test (Best Model) - Loss: 0.5174 - Accuracy: 0.8333 - F1: 0.8318
sub_2:Test (Best Model) - Loss: 4.9197 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.5653 - Accuracy: 0.7976 - F1: 0.7890
sub_8:Test (Best Model) - Loss: 0.0877 - Accuracy: 0.9762 - F1: 0.9762
sub_10:Test (Best Model) - Loss: 0.6616 - Accuracy: 0.8452 - F1: 0.8434
sub_2:Test (Best Model) - Loss: 1.2931 - Accuracy: 0.5833 - F1: 0.4958
sub_4:Test (Best Model) - Loss: 0.7318 - Accuracy: 0.8214 - F1: 0.8155
sub_1:Test (Best Model) - Loss: 0.2570 - Accuracy: 0.9405 - F1: 0.9404
sub_3:Test (Best Model) - Loss: 0.6605 - Accuracy: 0.7143 - F1: 0.7005
sub_9:Test (Best Model) - Loss: 0.0958 - Accuracy: 0.9524 - F1: 0.9523
sub_7:Test (Best Model) - Loss: 3.2552 - Accuracy: 0.5000 - F1: 0.3333
sub_8:Test (Best Model) - Loss: 0.3444 - Accuracy: 0.9405 - F1: 0.9403
sub_5:Test (Best Model) - Loss: 1.5375 - Accuracy: 0.7262 - F1: 0.7079
sub_1:Test (Best Model) - Loss: 0.1939 - Accuracy: 0.9048 - F1: 0.9039
sub_3:Test (Best Model) - Loss: 1.1692 - Accuracy: 0.6548 - F1: 0.6150
sub_2:Test (Best Model) - Loss: 0.1857 - Accuracy: 0.9167 - F1: 0.9161
sub_10:Test (Best Model) - Loss: 0.6527 - Accuracy: 0.7976 - F1: 0.7890
sub_9:Test (Best Model) - Loss: 1.7720 - Accuracy: 0.6905 - F1: 0.6577
sub_6:Test (Best Model) - Loss: 0.7347 - Accuracy: 0.8333 - F1: 0.8332
sub_5:Test (Best Model) - Loss: 0.4711 - Accuracy: 0.8095 - F1: 0.8024
sub_8:Test (Best Model) - Loss: 0.0466 - Accuracy: 0.9762 - F1: 0.9762
sub_7:Test (Best Model) - Loss: 2.8935 - Accuracy: 0.5119 - F1: 0.3593
sub_4:Test (Best Model) - Loss: 0.3025 - Accuracy: 0.8929 - F1: 0.8916
sub_3:Test (Best Model) - Loss: 2.0485 - Accuracy: 0.5714 - F1: 0.4750
sub_1:Test (Best Model) - Loss: 0.1829 - Accuracy: 0.9405 - F1: 0.9403
sub_6:Test (Best Model) - Loss: 0.7189 - Accuracy: 0.5000 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 0.2713 - Accuracy: 0.8810 - F1: 0.8792
sub_3:Test (Best Model) - Loss: 0.6669 - Accuracy: 0.6905 - F1: 0.6630
sub_5:Test (Best Model) - Loss: 0.4762 - Accuracy: 0.8452 - F1: 0.8425
sub_8:Test (Best Model) - Loss: 0.8510 - Accuracy: 0.8214 - F1: 0.8155
sub_9:Test (Best Model) - Loss: 1.7843 - Accuracy: 0.6786 - F1: 0.6415
sub_6:Test (Best Model) - Loss: 0.9562 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.8419 - Accuracy: 0.5833 - F1: 0.4958
sub_10:Test (Best Model) - Loss: 0.7226 - Accuracy: 0.6786 - F1: 0.6415
sub_7:Test (Best Model) - Loss: 0.2763 - Accuracy: 0.8810 - F1: 0.8799
sub_4:Test (Best Model) - Loss: 0.4381 - Accuracy: 0.8690 - F1: 0.8675
sub_2:Test (Best Model) - Loss: 0.1216 - Accuracy: 0.9524 - F1: 0.9523
sub_6:Test (Best Model) - Loss: 0.7101 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.4385 - Accuracy: 0.8214 - F1: 0.8155
sub_5:Test (Best Model) - Loss: 0.5975 - Accuracy: 0.8452 - F1: 0.8434
sub_9:Test (Best Model) - Loss: 1.2162 - Accuracy: 0.8214 - F1: 0.8155
sub_6:Test (Best Model) - Loss: 0.6357 - Accuracy: 0.7262 - F1: 0.7230
sub_10:Test (Best Model) - Loss: 0.1907 - Accuracy: 0.9286 - F1: 0.9284
sub_4:Test (Best Model) - Loss: 0.4557 - Accuracy: 0.8214 - F1: 0.8183
sub_1:Test (Best Model) - Loss: 0.2803 - Accuracy: 0.9048 - F1: 0.9039
sub_8:Test (Best Model) - Loss: 0.2548 - Accuracy: 0.9048 - F1: 0.9039
sub_6:Test (Best Model) - Loss: 1.7850 - Accuracy: 0.3810 - F1: 0.3753
sub_2:Test (Best Model) - Loss: 0.0314 - Accuracy: 0.9881 - F1: 0.9881
sub_6:Test (Best Model) - Loss: 1.5330 - Accuracy: 0.5833 - F1: 0.5828
sub_7:Test (Best Model) - Loss: 0.3988 - Accuracy: 0.8810 - F1: 0.8803
sub_5:Test (Best Model) - Loss: 0.2474 - Accuracy: 0.9286 - F1: 0.9285
sub_4:Test (Best Model) - Loss: 0.4711 - Accuracy: 0.8810 - F1: 0.8792
sub_1:Test (Best Model) - Loss: 1.0488 - Accuracy: 0.8929 - F1: 0.8916
sub_9:Test (Best Model) - Loss: 1.5755 - Accuracy: 0.8810 - F1: 0.8792
sub_8:Test (Best Model) - Loss: 0.1236 - Accuracy: 0.9643 - F1: 0.9642
sub_6:Test (Best Model) - Loss: 1.6035 - Accuracy: 0.4643 - F1: 0.4466
sub_2:Test (Best Model) - Loss: 0.7577 - Accuracy: 0.7857 - F1: 0.7776
sub_10:Test (Best Model) - Loss: 0.1488 - Accuracy: 0.9524 - F1: 0.9523
sub_3:Test (Best Model) - Loss: 3.5472 - Accuracy: 0.5357 - F1: 0.4081
sub_4:Test (Best Model) - Loss: 0.6130 - Accuracy: 0.7381 - F1: 0.7188
sub_9:Test (Best Model) - Loss: 4.9654 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 1.8446 - Accuracy: 0.5714 - F1: 0.5692
sub_3:Test (Best Model) - Loss: 0.7365 - Accuracy: 0.7381 - F1: 0.7306
sub_1:Test (Best Model) - Loss: 0.1814 - Accuracy: 0.9167 - F1: 0.9161
sub_5:Test (Best Model) - Loss: 0.2125 - Accuracy: 0.9048 - F1: 0.9047
sub_8:Test (Best Model) - Loss: 0.0938 - Accuracy: 0.9643 - F1: 0.9643
sub_2:Test (Best Model) - Loss: 1.5485 - Accuracy: 0.5833 - F1: 0.4958
sub_7:Test (Best Model) - Loss: 0.1413 - Accuracy: 0.9405 - F1: 0.9403
sub_3:Test (Best Model) - Loss: 0.6003 - Accuracy: 0.7619 - F1: 0.7585
sub_5:Test (Best Model) - Loss: 2.4810 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.2135 - Accuracy: 0.9167 - F1: 0.9167
sub_9:Test (Best Model) - Loss: 0.5375 - Accuracy: 0.8333 - F1: 0.8286
sub_6:Test (Best Model) - Loss: 2.8451 - Accuracy: 0.6190 - F1: 0.5787
sub_7:Test (Best Model) - Loss: 1.0361 - Accuracy: 0.7381 - F1: 0.7188
sub_3:Test (Best Model) - Loss: 0.8612 - Accuracy: 0.8214 - F1: 0.8208
sub_8:Test (Best Model) - Loss: 0.2350 - Accuracy: 0.8929 - F1: 0.8921
sub_10:Test (Best Model) - Loss: 1.4305 - Accuracy: 0.6310 - F1: 0.5728
sub_9:Test (Best Model) - Loss: 0.9691 - Accuracy: 0.6786 - F1: 0.6415
sub_5:Test (Best Model) - Loss: 1.2810 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 2.7063 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 1.2044 - Accuracy: 0.7500 - F1: 0.7333
sub_2:Test (Best Model) - Loss: 0.3855 - Accuracy: 0.8810 - F1: 0.8792
sub_10:Test (Best Model) - Loss: 2.9019 - Accuracy: 0.5000 - F1: 0.3333
sub_8:Test (Best Model) - Loss: 0.8974 - Accuracy: 0.8214 - F1: 0.8155
sub_7:Test (Best Model) - Loss: 0.2465 - Accuracy: 0.8571 - F1: 0.8542
sub_5:Test (Best Model) - Loss: 4.3136 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.6764 - Accuracy: 0.7262 - F1: 0.7079
sub_2:Test (Best Model) - Loss: 0.3886 - Accuracy: 0.8690 - F1: 0.8668
sub_4:Test (Best Model) - Loss: 0.5955 - Accuracy: 0.7857 - F1: 0.7776
sub_9:Test (Best Model) - Loss: 1.0852 - Accuracy: 0.4643 - F1: 0.3171
sub_7:Test (Best Model) - Loss: 0.6992 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 3.9678 - Accuracy: 0.5000 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 0.1005 - Accuracy: 0.9524 - F1: 0.9524
sub_5:Test (Best Model) - Loss: 0.9642 - Accuracy: 0.5714 - F1: 0.4750
sub_1:Test (Best Model) - Loss: 1.9658 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.2964 - Accuracy: 0.8571 - F1: 0.8558
sub_4:Test (Best Model) - Loss: 1.0415 - Accuracy: 0.7857 - F1: 0.7754
sub_10:Test (Best Model) - Loss: 1.0407 - Accuracy: 0.7381 - F1: 0.7188
sub_8:Test (Best Model) - Loss: 0.3456 - Accuracy: 0.8690 - F1: 0.8675
sub_4:Test (Best Model) - Loss: 0.9105 - Accuracy: 0.6786 - F1: 0.6525
sub_7:Test (Best Model) - Loss: 0.7507 - Accuracy: 0.7500 - F1: 0.7491
sub_1:Test (Best Model) - Loss: 0.8220 - Accuracy: 0.7024 - F1: 0.6735
sub_5:Test (Best Model) - Loss: 0.6002 - Accuracy: 0.7381 - F1: 0.7368
sub_4:Test (Best Model) - Loss: 0.7060 - Accuracy: 0.7857 - F1: 0.7812
sub_8:Test (Best Model) - Loss: 0.2453 - Accuracy: 0.9167 - F1: 0.9164
sub_7:Test (Best Model) - Loss: 0.4562 - Accuracy: 0.7857 - F1: 0.7846
sub_10:Test (Best Model) - Loss: 0.6085 - Accuracy: 0.7143 - F1: 0.6889
sub_7:Test (Best Model) - Loss: 0.3146 - Accuracy: 0.8929 - F1: 0.8928
sub_10:Test (Best Model) - Loss: 0.3370 - Accuracy: 0.8333 - F1: 0.8330
sub_7:Test (Best Model) - Loss: 0.5150 - Accuracy: 0.7857 - F1: 0.7826
sub_13:Test (Best Model) - Loss: 0.2644 - Accuracy: 0.8929 - F1: 0.8928
sub_11:Test (Best Model) - Loss: 0.0609 - Accuracy: 0.9762 - F1: 0.9762
sub_14:Test (Best Model) - Loss: 1.4882 - Accuracy: 0.6786 - F1: 0.6415
sub_12:Test (Best Model) - Loss: 0.4626 - Accuracy: 0.8333 - F1: 0.8286
sub_13:Test (Best Model) - Loss: 2.1769 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.2991 - Accuracy: 0.8571 - F1: 0.8542
sub_11:Test (Best Model) - Loss: 0.6573 - Accuracy: 0.8690 - F1: 0.8675
sub_14:Test (Best Model) - Loss: 0.7482 - Accuracy: 0.7619 - F1: 0.7597
sub_13:Test (Best Model) - Loss: 0.3093 - Accuracy: 0.8810 - F1: 0.8799
sub_11:Test (Best Model) - Loss: 0.4618 - Accuracy: 0.7857 - F1: 0.7754
sub_13:Test (Best Model) - Loss: 1.5556 - Accuracy: 0.6786 - F1: 0.6415
sub_12:Test (Best Model) - Loss: 0.1195 - Accuracy: 0.9524 - F1: 0.9523
sub_11:Test (Best Model) - Loss: 0.6303 - Accuracy: 0.8452 - F1: 0.8414
sub_14:Test (Best Model) - Loss: 1.9512 - Accuracy: 0.6310 - F1: 0.5728
sub_13:Test (Best Model) - Loss: 2.2765 - Accuracy: 0.5000 - F1: 0.3333
sub_11:Test (Best Model) - Loss: 0.3384 - Accuracy: 0.8690 - F1: 0.8689
sub_12:Test (Best Model) - Loss: 0.4605 - Accuracy: 0.8095 - F1: 0.8024
sub_13:Test (Best Model) - Loss: 0.5770 - Accuracy: 0.7976 - F1: 0.7890
sub_14:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.8452 - F1: 0.8425
sub_12:Test (Best Model) - Loss: 0.0307 - Accuracy: 0.9881 - F1: 0.9881
sub_11:Test (Best Model) - Loss: 0.1533 - Accuracy: 0.9286 - F1: 0.9282
sub_13:Test (Best Model) - Loss: 0.1159 - Accuracy: 0.9286 - F1: 0.9282
sub_14:Test (Best Model) - Loss: 0.6995 - Accuracy: 0.8095 - F1: 0.8056
sub_11:Test (Best Model) - Loss: 0.0623 - Accuracy: 0.9643 - F1: 0.9642
sub_13:Test (Best Model) - Loss: 2.3469 - Accuracy: 0.5714 - F1: 0.4750
sub_12:Test (Best Model) - Loss: 0.2870 - Accuracy: 0.9286 - F1: 0.9282
sub_14:Test (Best Model) - Loss: 0.7923 - Accuracy: 0.7381 - F1: 0.7188
sub_13:Test (Best Model) - Loss: 3.7275 - Accuracy: 0.5357 - F1: 0.4081
sub_12:Test (Best Model) - Loss: 0.5308 - Accuracy: 0.8571 - F1: 0.8542
sub_11:Test (Best Model) - Loss: 0.5777 - Accuracy: 0.8571 - F1: 0.8542
sub_12:Test (Best Model) - Loss: 0.2812 - Accuracy: 0.9048 - F1: 0.9045
sub_14:Test (Best Model) - Loss: 0.1886 - Accuracy: 0.9643 - F1: 0.9643
sub_13:Test (Best Model) - Loss: 0.4486 - Accuracy: 0.9048 - F1: 0.9047
sub_11:Test (Best Model) - Loss: 0.5272 - Accuracy: 0.8690 - F1: 0.8668
sub_11:Test (Best Model) - Loss: 1.8973 - Accuracy: 0.8452 - F1: 0.8414
sub_12:Test (Best Model) - Loss: 1.0894 - Accuracy: 0.7619 - F1: 0.7476
sub_14:Test (Best Model) - Loss: 0.5184 - Accuracy: 0.7619 - F1: 0.7476
sub_13:Test (Best Model) - Loss: 0.3255 - Accuracy: 0.9048 - F1: 0.9039
sub_11:Test (Best Model) - Loss: 1.4989 - Accuracy: 0.5833 - F1: 0.4958
sub_12:Test (Best Model) - Loss: 0.4663 - Accuracy: 0.9286 - F1: 0.9282
sub_14:Test (Best Model) - Loss: 0.2210 - Accuracy: 0.9167 - F1: 0.9161
sub_11:Test (Best Model) - Loss: 2.4057 - Accuracy: 0.5119 - F1: 0.3593
sub_13:Test (Best Model) - Loss: 0.3667 - Accuracy: 0.8571 - F1: 0.8564
sub_12:Test (Best Model) - Loss: 0.7918 - Accuracy: 0.8333 - F1: 0.8299
sub_11:Test (Best Model) - Loss: 0.0950 - Accuracy: 0.9643 - F1: 0.9643
sub_14:Test (Best Model) - Loss: 0.2784 - Accuracy: 0.9167 - F1: 0.9161
sub_12:Test (Best Model) - Loss: 0.5097 - Accuracy: 0.8333 - F1: 0.8286
sub_13:Test (Best Model) - Loss: 0.3787 - Accuracy: 0.8333 - F1: 0.8309
sub_12:Test (Best Model) - Loss: 0.9847 - Accuracy: 0.8810 - F1: 0.8792
sub_14:Test (Best Model) - Loss: 0.8358 - Accuracy: 0.6667 - F1: 0.6313
sub_13:Test (Best Model) - Loss: 0.6552 - Accuracy: 0.8690 - F1: 0.8686
sub_11:Test (Best Model) - Loss: 0.7600 - Accuracy: 0.7500 - F1: 0.7333
sub_12:Test (Best Model) - Loss: 0.9043 - Accuracy: 0.8571 - F1: 0.8564
sub_14:Test (Best Model) - Loss: 1.2858 - Accuracy: 0.6190 - F1: 0.5544
sub_11:Test (Best Model) - Loss: 0.5218 - Accuracy: 0.7976 - F1: 0.7890
sub_13:Test (Best Model) - Loss: 0.1150 - Accuracy: 0.9405 - F1: 0.9404
sub_12:Test (Best Model) - Loss: 1.9178 - Accuracy: 0.5476 - F1: 0.5074
sub_14:Test (Best Model) - Loss: 2.6022 - Accuracy: 0.5476 - F1: 0.4312
sub_14:Test (Best Model) - Loss: 1.3958 - Accuracy: 0.6190 - F1: 0.5544
sub_14:Test (Best Model) - Loss: 2.9882 - Accuracy: 0.5238 - F1: 0.3842

=== Summary Results ===

acc: 77.10 ± 7.28
F1: 73.84 ± 8.92
acc-in: 92.65 ± 5.53
F1-in: 91.90 ± 6.97
runing time: 1915.04 seconds
