lr: 0.0001
sub_4:Test (Best Model) - Loss: 0.3742 - Accuracy: 0.9524 - F1: 0.9523
sub_10:Test (Best Model) - Loss: 0.2798 - Accuracy: 0.9405 - F1: 0.9405
sub_8:Test (Best Model) - Loss: 0.1690 - Accuracy: 0.9762 - F1: 0.9762
sub_2:Test (Best Model) - Loss: 0.2121 - Accuracy: 0.9286 - F1: 0.9282
sub_3:Test (Best Model) - Loss: 2.7074 - Accuracy: 0.5833 - F1: 0.4958
sub_12:Test (Best Model) - Loss: 0.4769 - Accuracy: 0.9405 - F1: 0.9403
sub_14:Test (Best Model) - Loss: 0.5827 - Accuracy: 0.8929 - F1: 0.8916
sub_13:Test (Best Model) - Loss: 0.2223 - Accuracy: 0.9524 - F1: 0.9524
sub_9:Test (Best Model) - Loss: 0.0867 - Accuracy: 0.9762 - F1: 0.9762
sub_11:Test (Best Model) - Loss: 0.5276 - Accuracy: 0.9405 - F1: 0.9403
sub_1:Test (Best Model) - Loss: 0.8476 - Accuracy: 0.8571 - F1: 0.8542
sub_8:Test (Best Model) - Loss: 0.1686 - Accuracy: 0.9762 - F1: 0.9762
sub_10:Test (Best Model) - Loss: 0.2400 - Accuracy: 0.9643 - F1: 0.9643
sub_7:Test (Best Model) - Loss: 3.8116 - Accuracy: 0.6310 - F1: 0.5728
sub_2:Test (Best Model) - Loss: 0.3521 - Accuracy: 0.9167 - F1: 0.9161
sub_6:Test (Best Model) - Loss: 0.2346 - Accuracy: 0.9524 - F1: 0.9523
sub_12:Test (Best Model) - Loss: 0.0224 - Accuracy: 0.9881 - F1: 0.9881
sub_4:Test (Best Model) - Loss: 0.5537 - Accuracy: 0.9167 - F1: 0.9161
sub_5:Test (Best Model) - Loss: 1.7488 - Accuracy: 0.8095 - F1: 0.8085
sub_14:Test (Best Model) - Loss: 0.2883 - Accuracy: 0.9167 - F1: 0.9161
sub_13:Test (Best Model) - Loss: 0.2341 - Accuracy: 0.9524 - F1: 0.9523
sub_8:Test (Best Model) - Loss: 0.1078 - Accuracy: 0.9881 - F1: 0.9881
sub_11:Test (Best Model) - Loss: 0.8388 - Accuracy: 0.8929 - F1: 0.8916
sub_9:Test (Best Model) - Loss: 0.0080 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.4221 - Accuracy: 0.9286 - F1: 0.9282
sub_12:Test (Best Model) - Loss: 0.0783 - Accuracy: 0.9881 - F1: 0.9881
sub_10:Test (Best Model) - Loss: 0.2910 - Accuracy: 0.9524 - F1: 0.9524
sub_3:Test (Best Model) - Loss: 3.8073 - Accuracy: 0.5238 - F1: 0.3842
sub_1:Test (Best Model) - Loss: 1.6337 - Accuracy: 0.7500 - F1: 0.7333
sub_14:Test (Best Model) - Loss: 0.4205 - Accuracy: 0.9167 - F1: 0.9166
sub_6:Test (Best Model) - Loss: 0.8929 - Accuracy: 0.8690 - F1: 0.8668
sub_5:Test (Best Model) - Loss: 1.5960 - Accuracy: 0.7857 - F1: 0.7776
sub_8:Test (Best Model) - Loss: 0.1287 - Accuracy: 0.9881 - F1: 0.9881
sub_4:Test (Best Model) - Loss: 0.2774 - Accuracy: 0.9286 - F1: 0.9282
sub_13:Test (Best Model) - Loss: 0.6328 - Accuracy: 0.8810 - F1: 0.8799
sub_12:Test (Best Model) - Loss: 0.0714 - Accuracy: 0.9762 - F1: 0.9762
sub_2:Test (Best Model) - Loss: 0.2434 - Accuracy: 0.9643 - F1: 0.9642
sub_11:Test (Best Model) - Loss: 0.2369 - Accuracy: 0.9405 - F1: 0.9403
sub_14:Test (Best Model) - Loss: 0.5205 - Accuracy: 0.8929 - F1: 0.8925
sub_1:Test (Best Model) - Loss: 0.7410 - Accuracy: 0.8333 - F1: 0.8286
sub_10:Test (Best Model) - Loss: 0.2692 - Accuracy: 0.9762 - F1: 0.9762
sub_8:Test (Best Model) - Loss: 0.2503 - Accuracy: 0.9643 - F1: 0.9642
sub_12:Test (Best Model) - Loss: 0.2555 - Accuracy: 0.9167 - F1: 0.9161
sub_9:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 1.4873 - Accuracy: 0.8333 - F1: 0.8299
sub_6:Test (Best Model) - Loss: 0.7261 - Accuracy: 0.8810 - F1: 0.8792
sub_14:Test (Best Model) - Loss: 0.6489 - Accuracy: 0.9048 - F1: 0.9043
sub_4:Test (Best Model) - Loss: 0.6225 - Accuracy: 0.9167 - F1: 0.9161
sub_7:Test (Best Model) - Loss: 0.2511 - Accuracy: 0.9286 - F1: 0.9285
sub_13:Test (Best Model) - Loss: 0.2985 - Accuracy: 0.9405 - F1: 0.9403
sub_2:Test (Best Model) - Loss: 1.1144 - Accuracy: 0.8571 - F1: 0.8542
sub_11:Test (Best Model) - Loss: 0.5567 - Accuracy: 0.9286 - F1: 0.9282
sub_10:Test (Best Model) - Loss: 0.9844 - Accuracy: 0.8690 - F1: 0.8681
sub_8:Test (Best Model) - Loss: 0.0614 - Accuracy: 0.9881 - F1: 0.9881
sub_3:Test (Best Model) - Loss: 3.7856 - Accuracy: 0.6071 - F1: 0.5354
sub_12:Test (Best Model) - Loss: 0.5697 - Accuracy: 0.9167 - F1: 0.9161
sub_6:Test (Best Model) - Loss: 0.2556 - Accuracy: 0.9405 - F1: 0.9403
sub_1:Test (Best Model) - Loss: 0.4491 - Accuracy: 0.9286 - F1: 0.9284
sub_13:Test (Best Model) - Loss: 0.5007 - Accuracy: 0.9286 - F1: 0.9284
sub_14:Test (Best Model) - Loss: 0.2553 - Accuracy: 0.9762 - F1: 0.9762
sub_8:Test (Best Model) - Loss: 0.0065 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.7816 - Accuracy: 0.9048 - F1: 0.9039
sub_2:Test (Best Model) - Loss: 0.4253 - Accuracy: 0.9524 - F1: 0.9523
sub_7:Test (Best Model) - Loss: 0.6732 - Accuracy: 0.8571 - F1: 0.8551
sub_11:Test (Best Model) - Loss: 0.8523 - Accuracy: 0.8929 - F1: 0.8916
sub_5:Test (Best Model) - Loss: 1.5604 - Accuracy: 0.8333 - F1: 0.8299
sub_12:Test (Best Model) - Loss: 0.0922 - Accuracy: 0.9881 - F1: 0.9881
sub_10:Test (Best Model) - Loss: 0.1838 - Accuracy: 0.9762 - F1: 0.9762
sub_9:Test (Best Model) - Loss: 0.3512 - Accuracy: 0.9048 - F1: 0.9039
sub_8:Test (Best Model) - Loss: 0.3151 - Accuracy: 0.9524 - F1: 0.9523
sub_2:Test (Best Model) - Loss: 0.6386 - Accuracy: 0.9167 - F1: 0.9161
sub_4:Test (Best Model) - Loss: 0.8888 - Accuracy: 0.8690 - F1: 0.8690
sub_6:Test (Best Model) - Loss: 1.0119 - Accuracy: 0.8571 - F1: 0.8542
sub_3:Test (Best Model) - Loss: 2.2629 - Accuracy: 0.6310 - F1: 0.5728
sub_1:Test (Best Model) - Loss: 1.3002 - Accuracy: 0.7857 - F1: 0.7754
sub_12:Test (Best Model) - Loss: 0.7856 - Accuracy: 0.8929 - F1: 0.8916
sub_14:Test (Best Model) - Loss: 0.0509 - Accuracy: 0.9881 - F1: 0.9881
sub_5:Test (Best Model) - Loss: 1.5322 - Accuracy: 0.8214 - F1: 0.8155
sub_11:Test (Best Model) - Loss: 0.5417 - Accuracy: 0.9524 - F1: 0.9523
sub_8:Test (Best Model) - Loss: 0.0112 - Accuracy: 0.9881 - F1: 0.9881
sub_10:Test (Best Model) - Loss: 0.1031 - Accuracy: 0.9881 - F1: 0.9881
sub_13:Test (Best Model) - Loss: 0.2419 - Accuracy: 0.9643 - F1: 0.9642
sub_7:Test (Best Model) - Loss: 0.2823 - Accuracy: 0.9167 - F1: 0.9161
sub_12:Test (Best Model) - Loss: 0.5885 - Accuracy: 0.8929 - F1: 0.8916
sub_2:Test (Best Model) - Loss: 0.7724 - Accuracy: 0.9048 - F1: 0.9039
sub_6:Test (Best Model) - Loss: 0.1136 - Accuracy: 0.9524 - F1: 0.9524
sub_3:Test (Best Model) - Loss: 3.0042 - Accuracy: 0.5357 - F1: 0.4081
sub_8:Test (Best Model) - Loss: 0.0000 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.0614 - Accuracy: 0.9881 - F1: 0.9881
sub_14:Test (Best Model) - Loss: 0.1413 - Accuracy: 0.9762 - F1: 0.9762
sub_11:Test (Best Model) - Loss: 0.3191 - Accuracy: 0.9643 - F1: 0.9642
sub_10:Test (Best Model) - Loss: 0.0055 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.0820 - Accuracy: 0.9405 - F1: 0.9403
sub_1:Test (Best Model) - Loss: 0.4893 - Accuracy: 0.9405 - F1: 0.9403
sub_4:Test (Best Model) - Loss: 0.3537 - Accuracy: 0.9643 - F1: 0.9642
sub_12:Test (Best Model) - Loss: 1.0255 - Accuracy: 0.8571 - F1: 0.8542
sub_13:Test (Best Model) - Loss: 0.0839 - Accuracy: 0.9762 - F1: 0.9762
sub_2:Test (Best Model) - Loss: 0.9528 - Accuracy: 0.8929 - F1: 0.8916
sub_3:Test (Best Model) - Loss: 0.1828 - Accuracy: 0.9643 - F1: 0.9642
sub_8:Test (Best Model) - Loss: 0.1904 - Accuracy: 0.9643 - F1: 0.9642
sub_9:Test (Best Model) - Loss: 0.6358 - Accuracy: 0.8810 - F1: 0.8792
sub_7:Test (Best Model) - Loss: 1.0137 - Accuracy: 0.8333 - F1: 0.8286
sub_11:Test (Best Model) - Loss: 0.2739 - Accuracy: 0.9524 - F1: 0.9523
sub_1:Test (Best Model) - Loss: 0.3449 - Accuracy: 0.9643 - F1: 0.9642
sub_14:Test (Best Model) - Loss: 0.2949 - Accuracy: 0.9643 - F1: 0.9642
sub_12:Test (Best Model) - Loss: 0.9356 - Accuracy: 0.8810 - F1: 0.8807
sub_6:Test (Best Model) - Loss: 0.1214 - Accuracy: 0.9643 - F1: 0.9643
sub_13:Test (Best Model) - Loss: 0.1562 - Accuracy: 0.9643 - F1: 0.9642
sub_2:Test (Best Model) - Loss: 0.4862 - Accuracy: 0.9286 - F1: 0.9282
sub_4:Test (Best Model) - Loss: 0.4863 - Accuracy: 0.9405 - F1: 0.9403
sub_10:Test (Best Model) - Loss: 0.2999 - Accuracy: 0.9405 - F1: 0.9403
sub_8:Test (Best Model) - Loss: 0.3640 - Accuracy: 0.9524 - F1: 0.9523
sub_5:Test (Best Model) - Loss: 0.0451 - Accuracy: 0.9881 - F1: 0.9881
sub_3:Test (Best Model) - Loss: 0.3816 - Accuracy: 0.9524 - F1: 0.9524
sub_14:Test (Best Model) - Loss: 0.1564 - Accuracy: 0.9762 - F1: 0.9762
sub_11:Test (Best Model) - Loss: 0.3733 - Accuracy: 0.9524 - F1: 0.9523
sub_1:Test (Best Model) - Loss: 0.3559 - Accuracy: 0.9524 - F1: 0.9523
sub_12:Test (Best Model) - Loss: 0.6660 - Accuracy: 0.9167 - F1: 0.9166
sub_9:Test (Best Model) - Loss: 0.8591 - Accuracy: 0.8929 - F1: 0.8921
sub_7:Test (Best Model) - Loss: 0.2940 - Accuracy: 0.9524 - F1: 0.9523
sub_13:Test (Best Model) - Loss: 0.2064 - Accuracy: 0.9524 - F1: 0.9523
sub_4:Test (Best Model) - Loss: 0.5666 - Accuracy: 0.9048 - F1: 0.9047
sub_10:Test (Best Model) - Loss: 0.1551 - Accuracy: 0.9762 - F1: 0.9762
sub_8:Test (Best Model) - Loss: 0.1547 - Accuracy: 0.9643 - F1: 0.9642
sub_6:Test (Best Model) - Loss: 0.3343 - Accuracy: 0.9048 - F1: 0.9039
sub_11:Test (Best Model) - Loss: 0.3452 - Accuracy: 0.9524 - F1: 0.9523
sub_14:Test (Best Model) - Loss: 3.3680 - Accuracy: 0.5952 - F1: 0.5159
sub_12:Test (Best Model) - Loss: 0.5577 - Accuracy: 0.9405 - F1: 0.9405
sub_2:Test (Best Model) - Loss: 0.0008 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.3877 - Accuracy: 0.9405 - F1: 0.9403
sub_9:Test (Best Model) - Loss: 0.1690 - Accuracy: 0.9405 - F1: 0.9405
sub_13:Test (Best Model) - Loss: 0.0528 - Accuracy: 0.9881 - F1: 0.9881
sub_3:Test (Best Model) - Loss: 0.6481 - Accuracy: 0.9048 - F1: 0.9039
sub_4:Test (Best Model) - Loss: 0.7081 - Accuracy: 0.8571 - F1: 0.8571
sub_5:Test (Best Model) - Loss: 0.0821 - Accuracy: 0.9762 - F1: 0.9762
sub_8:Test (Best Model) - Loss: 0.2646 - Accuracy: 0.9405 - F1: 0.9403
sub_10:Test (Best Model) - Loss: 0.4297 - Accuracy: 0.8571 - F1: 0.8571
sub_2:Test (Best Model) - Loss: 0.0897 - Accuracy: 0.9762 - F1: 0.9762
sub_7:Test (Best Model) - Loss: 0.1624 - Accuracy: 0.9643 - F1: 0.9642
sub_6:Test (Best Model) - Loss: 1.0405 - Accuracy: 0.8571 - F1: 0.8542
sub_9:Test (Best Model) - Loss: 0.6625 - Accuracy: 0.8690 - F1: 0.8675
sub_11:Test (Best Model) - Loss: 0.1499 - Accuracy: 0.9881 - F1: 0.9881
sub_13:Test (Best Model) - Loss: 0.1762 - Accuracy: 0.9762 - F1: 0.9762
sub_12:Test (Best Model) - Loss: 1.3553 - Accuracy: 0.8571 - F1: 0.8564
sub_14:Test (Best Model) - Loss: 3.1122 - Accuracy: 0.7381 - F1: 0.7188
sub_1:Test (Best Model) - Loss: 0.3702 - Accuracy: 0.9643 - F1: 0.9642
sub_4:Test (Best Model) - Loss: 1.2247 - Accuracy: 0.8571 - F1: 0.8542
sub_8:Test (Best Model) - Loss: 0.0968 - Accuracy: 0.9643 - F1: 0.9642
sub_3:Test (Best Model) - Loss: 0.2559 - Accuracy: 0.9643 - F1: 0.9642
sub_2:Test (Best Model) - Loss: 0.0267 - Accuracy: 0.9881 - F1: 0.9881
sub_9:Test (Best Model) - Loss: 0.4612 - Accuracy: 0.8929 - F1: 0.8927
sub_11:Test (Best Model) - Loss: 0.1356 - Accuracy: 0.9881 - F1: 0.9881
sub_5:Test (Best Model) - Loss: 0.1446 - Accuracy: 0.9881 - F1: 0.9881
sub_13:Test (Best Model) - Loss: 0.0935 - Accuracy: 0.9762 - F1: 0.9762
sub_12:Test (Best Model) - Loss: 0.7369 - Accuracy: 0.8810 - F1: 0.8799
sub_14:Test (Best Model) - Loss: 4.3508 - Accuracy: 0.5833 - F1: 0.4958
sub_6:Test (Best Model) - Loss: 0.0799 - Accuracy: 0.9762 - F1: 0.9762
sub_10:Test (Best Model) - Loss: 1.0357 - Accuracy: 0.7738 - F1: 0.7664
sub_7:Test (Best Model) - Loss: 0.2828 - Accuracy: 0.9643 - F1: 0.9642
sub_2:Test (Best Model) - Loss: 0.0371 - Accuracy: 0.9881 - F1: 0.9881
sub_5:Test (Best Model) - Loss: 0.1093 - Accuracy: 0.9762 - F1: 0.9762
sub_1:Test (Best Model) - Loss: 0.0001 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.2619 - Accuracy: 0.9524 - F1: 0.9523
sub_14:Test (Best Model) - Loss: 4.8533 - Accuracy: 0.5833 - F1: 0.4958
sub_9:Test (Best Model) - Loss: 0.5656 - Accuracy: 0.9048 - F1: 0.9039
sub_13:Test (Best Model) - Loss: 0.0403 - Accuracy: 0.9762 - F1: 0.9762
sub_4:Test (Best Model) - Loss: 1.2714 - Accuracy: 0.8690 - F1: 0.8668
sub_10:Test (Best Model) - Loss: 0.6469 - Accuracy: 0.8571 - F1: 0.8542
sub_7:Test (Best Model) - Loss: 0.3369 - Accuracy: 0.9524 - F1: 0.9523
sub_11:Test (Best Model) - Loss: 0.1473 - Accuracy: 0.9881 - F1: 0.9881
sub_2:Test (Best Model) - Loss: 0.2078 - Accuracy: 0.9524 - F1: 0.9523
sub_6:Test (Best Model) - Loss: 1.1332 - Accuracy: 0.8214 - F1: 0.8155
sub_14:Test (Best Model) - Loss: 5.6784 - Accuracy: 0.5238 - F1: 0.3842
sub_5:Test (Best Model) - Loss: 1.0033 - Accuracy: 0.8452 - F1: 0.8450
sub_3:Test (Best Model) - Loss: 1.2121 - Accuracy: 0.7976 - F1: 0.7890
sub_9:Test (Best Model) - Loss: 0.2910 - Accuracy: 0.9286 - F1: 0.9282
sub_10:Test (Best Model) - Loss: 1.0958 - Accuracy: 0.8333 - F1: 0.8309
sub_1:Test (Best Model) - Loss: 0.0895 - Accuracy: 0.9881 - F1: 0.9881
sub_13:Test (Best Model) - Loss: 0.0394 - Accuracy: 0.9881 - F1: 0.9881
sub_4:Test (Best Model) - Loss: 2.1904 - Accuracy: 0.7262 - F1: 0.7040
sub_11:Test (Best Model) - Loss: 0.1150 - Accuracy: 0.9881 - F1: 0.9881
sub_3:Test (Best Model) - Loss: 0.9719 - Accuracy: 0.8690 - F1: 0.8668
sub_9:Test (Best Model) - Loss: 0.7103 - Accuracy: 0.9048 - F1: 0.9039
sub_6:Test (Best Model) - Loss: 0.8586 - Accuracy: 0.8452 - F1: 0.8414
sub_10:Test (Best Model) - Loss: 0.6331 - Accuracy: 0.8452 - F1: 0.8450
sub_7:Test (Best Model) - Loss: 0.4856 - Accuracy: 0.9167 - F1: 0.9161
sub_13:Test (Best Model) - Loss: 0.0003 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.1514 - Accuracy: 0.9762 - F1: 0.9762
sub_1:Test (Best Model) - Loss: 0.0017 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.9142 - Accuracy: 0.8571 - F1: 0.8571
sub_4:Test (Best Model) - Loss: 1.7427 - Accuracy: 0.7976 - F1: 0.7890
sub_9:Test (Best Model) - Loss: 0.2550 - Accuracy: 0.9524 - F1: 0.9523
sub_7:Test (Best Model) - Loss: 0.3143 - Accuracy: 0.8929 - F1: 0.8925
sub_3:Test (Best Model) - Loss: 1.5387 - Accuracy: 0.7857 - F1: 0.7754
sub_6:Test (Best Model) - Loss: 1.3979 - Accuracy: 0.7976 - F1: 0.7890
sub_4:Test (Best Model) - Loss: 1.2967 - Accuracy: 0.8214 - F1: 0.8155
sub_9:Test (Best Model) - Loss: 0.2157 - Accuracy: 0.9524 - F1: 0.9523
sub_5:Test (Best Model) - Loss: 0.5213 - Accuracy: 0.8690 - F1: 0.8686
sub_1:Test (Best Model) - Loss: 0.5909 - Accuracy: 0.8810 - F1: 0.8792
sub_3:Test (Best Model) - Loss: 1.7099 - Accuracy: 0.7857 - F1: 0.7754
sub_6:Test (Best Model) - Loss: 0.9312 - Accuracy: 0.8214 - F1: 0.8155
sub_7:Test (Best Model) - Loss: 1.4997 - Accuracy: 0.8214 - F1: 0.8155
sub_6:Test (Best Model) - Loss: 0.5837 - Accuracy: 0.8810 - F1: 0.8799
sub_3:Test (Best Model) - Loss: 1.1335 - Accuracy: 0.7976 - F1: 0.7890
sub_1:Test (Best Model) - Loss: 0.0798 - Accuracy: 0.9881 - F1: 0.9881
sub_5:Test (Best Model) - Loss: 0.8709 - Accuracy: 0.8452 - F1: 0.8434
sub_5:Test (Best Model) - Loss: 1.0707 - Accuracy: 0.8095 - F1: 0.8024
sub_7:Test (Best Model) - Loss: 0.4972 - Accuracy: 0.9286 - F1: 0.9285
sub_7:Test (Best Model) - Loss: 0.5333 - Accuracy: 0.9048 - F1: 0.9039
sub_7:Test (Best Model) - Loss: 0.1826 - Accuracy: 0.9167 - F1: 0.9164

=== Summary Results ===

acc: 90.45 ± 5.12
F1: 89.88 ± 6.07
acc-in: 98.33 ± 1.07
F1-in: 98.32 ± 1.09
