lr: 0.001
sub_1:Test (Best Model) - Loss: 1.9476 - Accuracy: 0.8214 - F1: 0.8208
sub_2:Test (Best Model) - Loss: 1.6805 - Accuracy: 0.8929 - F1: 0.8927
sub_3:Test (Best Model) - Loss: 4.8056 - Accuracy: 0.7381 - F1: 0.7224
sub_1:Test (Best Model) - Loss: 2.9560 - Accuracy: 0.7619 - F1: 0.7607
sub_2:Test (Best Model) - Loss: 0.2510 - Accuracy: 0.9286 - F1: 0.9285
sub_3:Test (Best Model) - Loss: 4.8129 - Accuracy: 0.5833 - F1: 0.5176
sub_1:Test (Best Model) - Loss: 1.8327 - Accuracy: 0.7857 - F1: 0.7826
sub_2:Test (Best Model) - Loss: 0.1780 - Accuracy: 0.9524 - F1: 0.9524
sub_3:Test (Best Model) - Loss: 4.2769 - Accuracy: 0.7857 - F1: 0.7796
sub_1:Test (Best Model) - Loss: 4.4341 - Accuracy: 0.7738 - F1: 0.7699
sub_2:Test (Best Model) - Loss: 0.5548 - Accuracy: 0.8690 - F1: 0.8690
sub_1:Test (Best Model) - Loss: 3.2199 - Accuracy: 0.6429 - F1: 0.6050
sub_3:Test (Best Model) - Loss: 6.9502 - Accuracy: 0.6786 - F1: 0.6525
sub_1:Test (Best Model) - Loss: 0.5859 - Accuracy: 0.8810 - F1: 0.8807
sub_2:Test (Best Model) - Loss: 1.2439 - Accuracy: 0.8214 - F1: 0.8208
sub_3:Test (Best Model) - Loss: 11.4656 - Accuracy: 0.6667 - F1: 0.6250
sub_2:Test (Best Model) - Loss: 0.4914 - Accuracy: 0.8095 - F1: 0.8091
sub_3:Test (Best Model) - Loss: 1.0705 - Accuracy: 0.7262 - F1: 0.7214
sub_1:Test (Best Model) - Loss: 1.6409 - Accuracy: 0.8333 - F1: 0.8330
sub_2:Test (Best Model) - Loss: 0.5397 - Accuracy: 0.8095 - F1: 0.8085
sub_1:Test (Best Model) - Loss: 0.9660 - Accuracy: 0.8095 - F1: 0.8091
sub_3:Test (Best Model) - Loss: 3.8018 - Accuracy: 0.6071 - F1: 0.5619
sub_2:Test (Best Model) - Loss: 0.2489 - Accuracy: 0.8929 - F1: 0.8916
sub_3:Test (Best Model) - Loss: 2.4892 - Accuracy: 0.7024 - F1: 0.6989
sub_2:Test (Best Model) - Loss: 0.5040 - Accuracy: 0.7619 - F1: 0.7569
sub_3:Test (Best Model) - Loss: 6.8364 - Accuracy: 0.6548 - F1: 0.6317
sub_1:Test (Best Model) - Loss: 1.3335 - Accuracy: 0.8571 - F1: 0.8568
sub_2:Test (Best Model) - Loss: 0.6512 - Accuracy: 0.8095 - F1: 0.8056
sub_1:Test (Best Model) - Loss: 0.4992 - Accuracy: 0.8929 - F1: 0.8928
sub_3:Test (Best Model) - Loss: 3.6736 - Accuracy: 0.6667 - F1: 0.6597
sub_2:Test (Best Model) - Loss: 7.1603 - Accuracy: 0.7143 - F1: 0.7143
sub_3:Test (Best Model) - Loss: 4.2475 - Accuracy: 0.7619 - F1: 0.7569
sub_1:Test (Best Model) - Loss: 6.4592 - Accuracy: 0.7143 - F1: 0.7061
sub_3:Test (Best Model) - Loss: 4.1965 - Accuracy: 0.7143 - F1: 0.7102
sub_2:Test (Best Model) - Loss: 14.6119 - Accuracy: 0.7262 - F1: 0.7243
sub_1:Test (Best Model) - Loss: 11.7550 - Accuracy: 0.8333 - F1: 0.8325
sub_3:Test (Best Model) - Loss: 1.3771 - Accuracy: 0.7976 - F1: 0.7976
sub_2:Test (Best Model) - Loss: 7.7485 - Accuracy: 0.7381 - F1: 0.7379
sub_1:Test (Best Model) - Loss: 1.4284 - Accuracy: 0.8214 - F1: 0.8208
sub_3:Test (Best Model) - Loss: 2.8621 - Accuracy: 0.7024 - F1: 0.7003
sub_1:Test (Best Model) - Loss: 4.1033 - Accuracy: 0.7738 - F1: 0.7712
sub_3:Test (Best Model) - Loss: 3.2098 - Accuracy: 0.7857 - F1: 0.7838
sub_2:Test (Best Model) - Loss: 5.3239 - Accuracy: 0.7262 - F1: 0.7195
sub_1:Test (Best Model) - Loss: 1.1239 - Accuracy: 0.8214 - F1: 0.8212
sub_2:Test (Best Model) - Loss: 17.5056 - Accuracy: 0.7619 - F1: 0.7618
sub_5:Test (Best Model) - Loss: 6.0667 - Accuracy: 0.5952 - F1: 0.5868
sub_6:Test (Best Model) - Loss: 1.0710 - Accuracy: 0.8214 - F1: 0.8214
sub_4:Test (Best Model) - Loss: 7.2697 - Accuracy: 0.6905 - F1: 0.6860
sub_5:Test (Best Model) - Loss: 5.0832 - Accuracy: 0.6548 - F1: 0.6487
sub_6:Test (Best Model) - Loss: 0.5090 - Accuracy: 0.8810 - F1: 0.8807
sub_4:Test (Best Model) - Loss: 5.6374 - Accuracy: 0.7143 - F1: 0.7141
sub_4:Test (Best Model) - Loss: 3.4434 - Accuracy: 0.7262 - F1: 0.7252
sub_5:Test (Best Model) - Loss: 3.1289 - Accuracy: 0.6548 - F1: 0.6487
sub_6:Test (Best Model) - Loss: 1.5206 - Accuracy: 0.8214 - F1: 0.8202
sub_4:Test (Best Model) - Loss: 9.2807 - Accuracy: 0.7619 - F1: 0.7618
sub_4:Test (Best Model) - Loss: 3.7847 - Accuracy: 0.7500 - F1: 0.7483
sub_5:Test (Best Model) - Loss: 4.8435 - Accuracy: 0.6667 - F1: 0.6571
sub_6:Test (Best Model) - Loss: 1.5866 - Accuracy: 0.8095 - F1: 0.8091
sub_4:Test (Best Model) - Loss: 1.3731 - Accuracy: 0.7262 - F1: 0.7252
sub_6:Test (Best Model) - Loss: 1.5907 - Accuracy: 0.8095 - F1: 0.8056
sub_5:Test (Best Model) - Loss: 5.5728 - Accuracy: 0.7143 - F1: 0.7061
sub_4:Test (Best Model) - Loss: 1.5456 - Accuracy: 0.7500 - F1: 0.7491
sub_5:Test (Best Model) - Loss: 1.3908 - Accuracy: 0.6905 - F1: 0.6840
sub_6:Test (Best Model) - Loss: 9.4163 - Accuracy: 0.7024 - F1: 0.6863
sub_4:Test (Best Model) - Loss: 2.9585 - Accuracy: 0.7262 - F1: 0.7258
sub_5:Test (Best Model) - Loss: 2.2821 - Accuracy: 0.6905 - F1: 0.6860
sub_6:Test (Best Model) - Loss: 4.9157 - Accuracy: 0.6667 - F1: 0.6597
sub_4:Test (Best Model) - Loss: 1.0859 - Accuracy: 0.7500 - F1: 0.7500
sub_6:Test (Best Model) - Loss: 5.9318 - Accuracy: 0.6905 - F1: 0.6876
sub_4:Test (Best Model) - Loss: 1.2468 - Accuracy: 0.7381 - F1: 0.7379
sub_5:Test (Best Model) - Loss: 1.8530 - Accuracy: 0.6905 - F1: 0.6840
sub_4:Test (Best Model) - Loss: 0.5759 - Accuracy: 0.8095 - F1: 0.8095
sub_5:Test (Best Model) - Loss: 1.6270 - Accuracy: 0.8214 - F1: 0.8214
sub_6:Test (Best Model) - Loss: 7.7550 - Accuracy: 0.6667 - F1: 0.6466
sub_4:Test (Best Model) - Loss: 0.9748 - Accuracy: 0.7262 - F1: 0.7230
sub_5:Test (Best Model) - Loss: 0.6354 - Accuracy: 0.8690 - F1: 0.8686
sub_6:Test (Best Model) - Loss: 5.6339 - Accuracy: 0.8214 - F1: 0.8212
sub_4:Test (Best Model) - Loss: 0.7076 - Accuracy: 0.7976 - F1: 0.7962
sub_5:Test (Best Model) - Loss: 4.5759 - Accuracy: 0.6190 - F1: 0.6188
sub_6:Test (Best Model) - Loss: 2.3830 - Accuracy: 0.8333 - F1: 0.8318
sub_5:Test (Best Model) - Loss: 4.1325 - Accuracy: 0.5714 - F1: 0.5260
sub_4:Test (Best Model) - Loss: 1.8348 - Accuracy: 0.7619 - F1: 0.7597
sub_6:Test (Best Model) - Loss: 72.6944 - Accuracy: 0.6667 - F1: 0.6665
sub_6:Test (Best Model) - Loss: 5.8341 - Accuracy: 0.7500 - F1: 0.7483
sub_4:Test (Best Model) - Loss: 1.6229 - Accuracy: 0.7619 - F1: 0.7607
sub_5:Test (Best Model) - Loss: 4.2843 - Accuracy: 0.6310 - F1: 0.6152
sub_5:Test (Best Model) - Loss: 2.2421 - Accuracy: 0.7857 - F1: 0.7796
sub_6:Test (Best Model) - Loss: 85.9844 - Accuracy: 0.7143 - F1: 0.7117
sub_5:Test (Best Model) - Loss: 4.1697 - Accuracy: 0.6310 - F1: 0.6305
sub_6:Test (Best Model) - Loss: 6.8329 - Accuracy: 0.7857 - F1: 0.7812
sub_7:Test (Best Model) - Loss: 5.8633 - Accuracy: 0.6190 - F1: 0.5714
sub_8:Test (Best Model) - Loss: 0.2862 - Accuracy: 0.9405 - F1: 0.9405
sub_9:Test (Best Model) - Loss: 2.5802 - Accuracy: 0.7976 - F1: 0.7910
sub_7:Test (Best Model) - Loss: 6.7550 - Accuracy: 0.6310 - F1: 0.5951
sub_9:Test (Best Model) - Loss: 4.6902 - Accuracy: 0.9048 - F1: 0.9043
sub_8:Test (Best Model) - Loss: 0.1068 - Accuracy: 0.9524 - F1: 0.9524
sub_7:Test (Best Model) - Loss: 3.3367 - Accuracy: 0.6310 - F1: 0.5884
sub_8:Test (Best Model) - Loss: 0.2572 - Accuracy: 0.9643 - F1: 0.9643
sub_9:Test (Best Model) - Loss: 1.8679 - Accuracy: 0.8214 - F1: 0.8170
sub_7:Test (Best Model) - Loss: 1.7191 - Accuracy: 0.6786 - F1: 0.6525
sub_8:Test (Best Model) - Loss: 2.0852 - Accuracy: 0.9524 - F1: 0.9524
sub_9:Test (Best Model) - Loss: 0.2995 - Accuracy: 0.9405 - F1: 0.9403
sub_8:Test (Best Model) - Loss: 0.4703 - Accuracy: 0.9286 - F1: 0.9286
sub_7:Test (Best Model) - Loss: 7.7686 - Accuracy: 0.6071 - F1: 0.5540
sub_8:Test (Best Model) - Loss: 0.2211 - Accuracy: 0.9524 - F1: 0.9524
sub_9:Test (Best Model) - Loss: 10.3011 - Accuracy: 0.6667 - F1: 0.6250
sub_7:Test (Best Model) - Loss: 0.4141 - Accuracy: 0.8690 - F1: 0.8689
sub_7:Test (Best Model) - Loss: 0.3522 - Accuracy: 0.8452 - F1: 0.8447
sub_8:Test (Best Model) - Loss: 0.4810 - Accuracy: 0.9405 - F1: 0.9405
sub_9:Test (Best Model) - Loss: 4.0072 - Accuracy: 0.8214 - F1: 0.8208
sub_8:Test (Best Model) - Loss: 1.0360 - Accuracy: 0.9405 - F1: 0.9405
sub_7:Test (Best Model) - Loss: 0.7631 - Accuracy: 0.8095 - F1: 0.8094
sub_9:Test (Best Model) - Loss: 4.6615 - Accuracy: 0.7738 - F1: 0.7722
sub_7:Test (Best Model) - Loss: 1.9163 - Accuracy: 0.7738 - F1: 0.7738
sub_8:Test (Best Model) - Loss: 0.5227 - Accuracy: 0.9405 - F1: 0.9404
sub_9:Test (Best Model) - Loss: 9.3134 - Accuracy: 0.6548 - F1: 0.6463
sub_7:Test (Best Model) - Loss: 0.8404 - Accuracy: 0.8095 - F1: 0.8094
sub_8:Test (Best Model) - Loss: 0.5770 - Accuracy: 0.9405 - F1: 0.9405
sub_7:Test (Best Model) - Loss: 1.5236 - Accuracy: 0.7262 - F1: 0.7195
sub_8:Test (Best Model) - Loss: 1.2939 - Accuracy: 0.8333 - F1: 0.8330
sub_9:Test (Best Model) - Loss: 9.9096 - Accuracy: 0.7143 - F1: 0.7061
sub_7:Test (Best Model) - Loss: 0.9163 - Accuracy: 0.6905 - F1: 0.6816
sub_8:Test (Best Model) - Loss: 3.2283 - Accuracy: 0.8333 - F1: 0.8309
sub_7:Test (Best Model) - Loss: 1.9759 - Accuracy: 0.6905 - F1: 0.6840
sub_9:Test (Best Model) - Loss: 7.8433 - Accuracy: 0.7619 - F1: 0.7619
sub_8:Test (Best Model) - Loss: 5.1921 - Accuracy: 0.7262 - F1: 0.7040
sub_7:Test (Best Model) - Loss: 0.9590 - Accuracy: 0.7500 - F1: 0.7483
sub_9:Test (Best Model) - Loss: 16.3002 - Accuracy: 0.6071 - F1: 0.6071
sub_8:Test (Best Model) - Loss: 2.2114 - Accuracy: 0.7500 - F1: 0.7483
sub_8:Test (Best Model) - Loss: 1.9854 - Accuracy: 0.7857 - F1: 0.7812
sub_9:Test (Best Model) - Loss: 18.5589 - Accuracy: 0.4167 - F1: 0.4146
sub_7:Test (Best Model) - Loss: 2.0983 - Accuracy: 0.7619 - F1: 0.7569
sub_9:Test (Best Model) - Loss: 8.4172 - Accuracy: 0.6786 - F1: 0.6763
sub_9:Test (Best Model) - Loss: 20.6398 - Accuracy: 0.5595 - F1: 0.5450
sub_9:Test (Best Model) - Loss: 10.8570 - Accuracy: 0.6905 - F1: 0.6860
sub_10:Test (Best Model) - Loss: 1.1366 - Accuracy: 0.9048 - F1: 0.9039
sub_12:Test (Best Model) - Loss: 1.6501 - Accuracy: 0.7381 - F1: 0.7282
sub_11:Test (Best Model) - Loss: 0.5647 - Accuracy: 0.9405 - F1: 0.9404
sub_10:Test (Best Model) - Loss: 5.7825 - Accuracy: 0.8214 - F1: 0.8155
sub_11:Test (Best Model) - Loss: 1.6284 - Accuracy: 0.8095 - F1: 0.8094
sub_12:Test (Best Model) - Loss: 1.1990 - Accuracy: 0.8095 - F1: 0.8068
sub_10:Test (Best Model) - Loss: 1.8741 - Accuracy: 0.7857 - F1: 0.7754
sub_10:Test (Best Model) - Loss: 2.2354 - Accuracy: 0.7976 - F1: 0.7890
sub_11:Test (Best Model) - Loss: 0.2858 - Accuracy: 0.9048 - F1: 0.9047
sub_10:Test (Best Model) - Loss: 2.3429 - Accuracy: 0.8333 - F1: 0.8286
sub_12:Test (Best Model) - Loss: 1.1424 - Accuracy: 0.7857 - F1: 0.7754
sub_11:Test (Best Model) - Loss: 0.8246 - Accuracy: 0.8929 - F1: 0.8927
sub_10:Test (Best Model) - Loss: 0.4456 - Accuracy: 0.8571 - F1: 0.8558
sub_12:Test (Best Model) - Loss: 0.6325 - Accuracy: 0.7857 - F1: 0.7826
sub_11:Test (Best Model) - Loss: 0.6496 - Accuracy: 0.9286 - F1: 0.9286
sub_10:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.8929 - F1: 0.8928
sub_12:Test (Best Model) - Loss: 0.3809 - Accuracy: 0.8214 - F1: 0.8214
sub_12:Test (Best Model) - Loss: 1.0331 - Accuracy: 0.9167 - F1: 0.9167
sub_11:Test (Best Model) - Loss: 0.9187 - Accuracy: 0.8452 - F1: 0.8452
sub_10:Test (Best Model) - Loss: 0.2420 - Accuracy: 0.9405 - F1: 0.9404
sub_11:Test (Best Model) - Loss: 0.7796 - Accuracy: 0.8929 - F1: 0.8921
sub_10:Test (Best Model) - Loss: 1.4710 - Accuracy: 0.7500 - F1: 0.7439
sub_12:Test (Best Model) - Loss: 0.9795 - Accuracy: 0.8452 - F1: 0.8450
sub_10:Test (Best Model) - Loss: 0.2278 - Accuracy: 0.8810 - F1: 0.8803
sub_11:Test (Best Model) - Loss: 1.0949 - Accuracy: 0.8690 - F1: 0.8690
sub_12:Test (Best Model) - Loss: 1.0810 - Accuracy: 0.8571 - F1: 0.8568
sub_10:Test (Best Model) - Loss: 5.3740 - Accuracy: 0.5833 - F1: 0.5353
sub_12:Test (Best Model) - Loss: 0.8215 - Accuracy: 0.8690 - F1: 0.8681
sub_11:Test (Best Model) - Loss: 1.4738 - Accuracy: 0.8571 - F1: 0.8571
sub_10:Test (Best Model) - Loss: 1.4320 - Accuracy: 0.6310 - F1: 0.6188
sub_12:Test (Best Model) - Loss: 0.7255 - Accuracy: 0.8452 - F1: 0.8434
sub_11:Test (Best Model) - Loss: 0.8133 - Accuracy: 0.8810 - F1: 0.8807
sub_10:Test (Best Model) - Loss: 6.2417 - Accuracy: 0.5714 - F1: 0.5675
sub_11:Test (Best Model) - Loss: 0.1546 - Accuracy: 0.9286 - F1: 0.9285
sub_12:Test (Best Model) - Loss: 19.1640 - Accuracy: 0.6310 - F1: 0.6219
sub_10:Test (Best Model) - Loss: 8.9185 - Accuracy: 0.5833 - F1: 0.5496
sub_10:Test (Best Model) - Loss: 0.9164 - Accuracy: 0.6548 - F1: 0.6212
sub_11:Test (Best Model) - Loss: 0.8785 - Accuracy: 0.8095 - F1: 0.8091
sub_12:Test (Best Model) - Loss: 13.0151 - Accuracy: 0.6071 - F1: 0.5942
sub_11:Test (Best Model) - Loss: 0.3311 - Accuracy: 0.8690 - F1: 0.8689
sub_12:Test (Best Model) - Loss: 14.1981 - Accuracy: 0.6429 - F1: 0.6396
sub_11:Test (Best Model) - Loss: 0.1567 - Accuracy: 0.9405 - F1: 0.9404
sub_12:Test (Best Model) - Loss: 32.1651 - Accuracy: 0.5595 - F1: 0.5302
sub_11:Test (Best Model) - Loss: 0.3451 - Accuracy: 0.8929 - F1: 0.8927
sub_12:Test (Best Model) - Loss: 40.2238 - Accuracy: 0.5833 - F1: 0.5496
sub_13:Test (Best Model) - Loss: 1.0405 - Accuracy: 0.9048 - F1: 0.9045
sub_14:Test (Best Model) - Loss: 7.4179 - Accuracy: 0.7619 - F1: 0.7619
sub_13:Test (Best Model) - Loss: 0.8812 - Accuracy: 0.7857 - F1: 0.7754
sub_13:Test (Best Model) - Loss: 0.7532 - Accuracy: 0.8214 - F1: 0.8194
sub_14:Test (Best Model) - Loss: 18.5835 - Accuracy: 0.7619 - F1: 0.7619
sub_14:Test (Best Model) - Loss: 6.0156 - Accuracy: 0.7619 - F1: 0.7618
sub_13:Test (Best Model) - Loss: 0.7344 - Accuracy: 0.7738 - F1: 0.7683
sub_13:Test (Best Model) - Loss: 1.3787 - Accuracy: 0.7381 - F1: 0.7282
sub_14:Test (Best Model) - Loss: 10.9681 - Accuracy: 0.7976 - F1: 0.7976
sub_14:Test (Best Model) - Loss: 2.9426 - Accuracy: 0.8214 - F1: 0.8214
sub_13:Test (Best Model) - Loss: 0.5956 - Accuracy: 0.9048 - F1: 0.9048
sub_13:Test (Best Model) - Loss: 0.9036 - Accuracy: 0.8929 - F1: 0.8928
sub_14:Test (Best Model) - Loss: 0.7380 - Accuracy: 0.8333 - F1: 0.8318
sub_13:Test (Best Model) - Loss: 1.2873 - Accuracy: 0.8810 - F1: 0.8807
sub_14:Test (Best Model) - Loss: 0.8049 - Accuracy: 0.7976 - F1: 0.7976
sub_13:Test (Best Model) - Loss: 1.0430 - Accuracy: 0.8571 - F1: 0.8558
sub_14:Test (Best Model) - Loss: 1.8451 - Accuracy: 0.8214 - F1: 0.8208
sub_13:Test (Best Model) - Loss: 1.1122 - Accuracy: 0.8810 - F1: 0.8803
sub_13:Test (Best Model) - Loss: 18.2268 - Accuracy: 0.8214 - F1: 0.8155
sub_14:Test (Best Model) - Loss: 2.5900 - Accuracy: 0.8333 - F1: 0.8330
sub_13:Test (Best Model) - Loss: 4.7999 - Accuracy: 0.8571 - F1: 0.8558
sub_14:Test (Best Model) - Loss: 1.0607 - Accuracy: 0.8214 - F1: 0.8183
sub_13:Test (Best Model) - Loss: 6.6036 - Accuracy: 0.9048 - F1: 0.9043
sub_14:Test (Best Model) - Loss: 1.2428 - Accuracy: 0.6548 - F1: 0.6212
sub_14:Test (Best Model) - Loss: 1.4645 - Accuracy: 0.6190 - F1: 0.5634
sub_13:Test (Best Model) - Loss: 7.4369 - Accuracy: 0.8452 - F1: 0.8425
sub_13:Test (Best Model) - Loss: 2.2312 - Accuracy: 0.9286 - F1: 0.9285
sub_14:Test (Best Model) - Loss: 1.9023 - Accuracy: 0.6429 - F1: 0.5982
sub_14:Test (Best Model) - Loss: 1.3600 - Accuracy: 0.6310 - F1: 0.5810
sub_14:Test (Best Model) - Loss: 2.1080 - Accuracy: 0.7024 - F1: 0.6825

=== Summary Results ===

acc: 77.58 ± 6.23
F1: 76.89 ± 6.61
acc-in: 91.18 ± 4.22
F1-in: 91.08 ± 4.29
runing time: 1174.14 seconds
