lr: 0.0001
sub_7:Test (Best Model) - Loss: 0.6933 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.6963 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.6908 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.6940 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.7292 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.6922 - Accuracy: 0.4643 - F1: 0.3353
sub_10:Test (Best Model) - Loss: 0.6949 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.6968 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.2487 - Accuracy: 0.9286 - F1: 0.9285
sub_8:Test (Best Model) - Loss: 0.6616 - Accuracy: 0.8810 - F1: 0.8807
sub_7:Test (Best Model) - Loss: 0.6928 - Accuracy: 0.5119 - F1: 0.3593
sub_4:Test (Best Model) - Loss: 0.3468 - Accuracy: 0.8452 - F1: 0.8450
sub_9:Test (Best Model) - Loss: 0.6944 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.6933 - Accuracy: 0.5000 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 0.6203 - Accuracy: 0.6190 - F1: 0.5634
sub_10:Test (Best Model) - Loss: 0.6963 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.6797 - Accuracy: 0.6310 - F1: 0.6188
sub_4:Test (Best Model) - Loss: 0.6902 - Accuracy: 0.5357 - F1: 0.4510
sub_9:Test (Best Model) - Loss: 0.6880 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.6932 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.6926 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.6893 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.6785 - Accuracy: 0.5119 - F1: 0.3593
sub_1:Test (Best Model) - Loss: 0.4132 - Accuracy: 0.9048 - F1: 0.9047
sub_4:Test (Best Model) - Loss: 0.6933 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.6934 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.6919 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.6942 - Accuracy: 0.5000 - F1: 0.3333
sub_8:Test (Best Model) - Loss: 0.3490 - Accuracy: 0.8214 - F1: 0.8155
sub_2:Test (Best Model) - Loss: 0.7197 - Accuracy: 0.5119 - F1: 0.3593
sub_3:Test (Best Model) - Loss: 0.6932 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.6932 - Accuracy: 0.5357 - F1: 0.4906
sub_1:Test (Best Model) - Loss: 0.6492 - Accuracy: 0.8214 - F1: 0.8170
sub_10:Test (Best Model) - Loss: 0.6976 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.6863 - Accuracy: 0.6667 - F1: 0.6313
sub_5:Test (Best Model) - Loss: 0.6874 - Accuracy: 0.6071 - F1: 0.5619
sub_3:Test (Best Model) - Loss: 0.6918 - Accuracy: 0.6786 - F1: 0.6748
sub_7:Test (Best Model) - Loss: 0.6940 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.6817 - Accuracy: 0.5119 - F1: 0.3593
sub_4:Test (Best Model) - Loss: 0.6937 - Accuracy: 0.4881 - F1: 0.3280
sub_2:Test (Best Model) - Loss: 0.7839 - Accuracy: 0.5119 - F1: 0.3593
sub_10:Test (Best Model) - Loss: 0.6896 - Accuracy: 0.5476 - F1: 0.5143
sub_6:Test (Best Model) - Loss: 0.6227 - Accuracy: 0.6786 - F1: 0.6612
sub_9:Test (Best Model) - Loss: 0.2579 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.6931 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.6865 - Accuracy: 0.5595 - F1: 0.4535
sub_5:Test (Best Model) - Loss: 0.6122 - Accuracy: 0.7024 - F1: 0.7013
sub_2:Test (Best Model) - Loss: 0.6616 - Accuracy: 0.5357 - F1: 0.4081
sub_7:Test (Best Model) - Loss: 0.6908 - Accuracy: 0.5000 - F1: 0.3333
sub_8:Test (Best Model) - Loss: 0.1355 - Accuracy: 0.9643 - F1: 0.9642
sub_6:Test (Best Model) - Loss: 0.6471 - Accuracy: 0.5595 - F1: 0.4901
sub_3:Test (Best Model) - Loss: 0.6889 - Accuracy: 0.8571 - F1: 0.8542
sub_10:Test (Best Model) - Loss: 0.6882 - Accuracy: 0.5476 - F1: 0.4458
sub_9:Test (Best Model) - Loss: 0.6072 - Accuracy: 0.8571 - F1: 0.8558
sub_5:Test (Best Model) - Loss: 0.6927 - Accuracy: 0.4881 - F1: 0.4383
sub_7:Test (Best Model) - Loss: 0.6923 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.6934 - Accuracy: 0.5000 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 0.6684 - Accuracy: 0.5357 - F1: 0.4081
sub_1:Test (Best Model) - Loss: 0.2788 - Accuracy: 0.8810 - F1: 0.8807
sub_10:Test (Best Model) - Loss: 0.6922 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.6935 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.6930 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.6901 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.5633 - Accuracy: 0.7738 - F1: 0.7641
sub_7:Test (Best Model) - Loss: 0.6931 - Accuracy: 0.4881 - F1: 0.4874
sub_2:Test (Best Model) - Loss: 0.4145 - Accuracy: 0.8810 - F1: 0.8792
sub_3:Test (Best Model) - Loss: 0.6445 - Accuracy: 0.6071 - F1: 0.5354
sub_8:Test (Best Model) - Loss: 0.5922 - Accuracy: 0.8810 - F1: 0.8799
sub_6:Test (Best Model) - Loss: 0.6937 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.4056 - Accuracy: 0.8095 - F1: 0.8056
sub_10:Test (Best Model) - Loss: 0.6351 - Accuracy: 0.6548 - F1: 0.6080
sub_9:Test (Best Model) - Loss: 0.7980 - Accuracy: 0.7381 - F1: 0.7188
sub_7:Test (Best Model) - Loss: 0.6934 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.6875 - Accuracy: 0.5000 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 0.6361 - Accuracy: 0.9286 - F1: 0.9284
sub_5:Test (Best Model) - Loss: 0.6940 - Accuracy: 0.5000 - F1: 0.3534
sub_9:Test (Best Model) - Loss: 0.7371 - Accuracy: 0.4881 - F1: 0.4466
sub_1:Test (Best Model) - Loss: 0.2441 - Accuracy: 0.8929 - F1: 0.8927
sub_6:Test (Best Model) - Loss: 0.6900 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.6932 - Accuracy: 0.5000 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 0.6847 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.6322 - Accuracy: 0.7500 - F1: 0.7418
sub_10:Test (Best Model) - Loss: 1.0701 - Accuracy: 0.5238 - F1: 0.3842
sub_6:Test (Best Model) - Loss: 0.7400 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.6933 - Accuracy: 0.5000 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 0.6552 - Accuracy: 0.7976 - F1: 0.7890
sub_4:Test (Best Model) - Loss: 0.6935 - Accuracy: 0.5000 - F1: 0.3534
sub_8:Test (Best Model) - Loss: 0.6270 - Accuracy: 0.7262 - F1: 0.7079
sub_7:Test (Best Model) - Loss: 0.6951 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.6828 - Accuracy: 0.5357 - F1: 0.4906
sub_6:Test (Best Model) - Loss: 0.8239 - Accuracy: 0.4048 - F1: 0.3177
sub_1:Test (Best Model) - Loss: 0.6901 - Accuracy: 0.5119 - F1: 0.3593
sub_2:Test (Best Model) - Loss: 0.4712 - Accuracy: 0.9048 - F1: 0.9039
sub_9:Test (Best Model) - Loss: 0.8393 - Accuracy: 0.6667 - F1: 0.6659
sub_7:Test (Best Model) - Loss: 0.6970 - Accuracy: 0.4881 - F1: 0.4605
sub_5:Test (Best Model) - Loss: 0.6919 - Accuracy: 0.5714 - F1: 0.4987
sub_10:Test (Best Model) - Loss: 0.5347 - Accuracy: 0.7262 - F1: 0.7079
sub_3:Test (Best Model) - Loss: 0.6676 - Accuracy: 0.6548 - F1: 0.6080
sub_2:Test (Best Model) - Loss: 0.6898 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.6905 - Accuracy: 0.6071 - F1: 0.6026
sub_7:Test (Best Model) - Loss: 0.6937 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.6950 - Accuracy: 0.4881 - F1: 0.3280
sub_6:Test (Best Model) - Loss: 0.8420 - Accuracy: 0.4643 - F1: 0.4511
sub_3:Test (Best Model) - Loss: 0.6894 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.7958 - Accuracy: 0.6548 - F1: 0.6523
sub_8:Test (Best Model) - Loss: 0.0948 - Accuracy: 0.9881 - F1: 0.9881
sub_4:Test (Best Model) - Loss: 0.6925 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.5984 - Accuracy: 0.7619 - F1: 0.7551
sub_5:Test (Best Model) - Loss: 0.6961 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.6921 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.6968 - Accuracy: 0.4881 - F1: 0.3280
sub_10:Test (Best Model) - Loss: 0.6891 - Accuracy: 0.5119 - F1: 0.3593
sub_8:Test (Best Model) - Loss: 0.5745 - Accuracy: 0.8333 - F1: 0.8330
sub_6:Test (Best Model) - Loss: 1.1084 - Accuracy: 0.4524 - F1: 0.4445
sub_4:Test (Best Model) - Loss: 0.6938 - Accuracy: 0.5000 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 0.7751 - Accuracy: 0.5000 - F1: 0.3534
sub_9:Test (Best Model) - Loss: 0.6815 - Accuracy: 0.6071 - F1: 0.5354
sub_8:Test (Best Model) - Loss: 0.6723 - Accuracy: 0.5952 - F1: 0.5265
sub_5:Test (Best Model) - Loss: 0.7019 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.8525 - Accuracy: 0.5357 - F1: 0.4382
sub_9:Test (Best Model) - Loss: 0.6924 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.6266 - Accuracy: 0.6310 - F1: 0.5951
sub_6:Test (Best Model) - Loss: 0.7051 - Accuracy: 0.5000 - F1: 0.3333
sub_8:Test (Best Model) - Loss: 0.6077 - Accuracy: 0.7262 - F1: 0.7172
sub_5:Test (Best Model) - Loss: 0.6770 - Accuracy: 0.6667 - F1: 0.6636
sub_2:Test (Best Model) - Loss: 0.6332 - Accuracy: 0.6429 - F1: 0.5906
sub_9:Test (Best Model) - Loss: 0.6932 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.6934 - Accuracy: 0.5119 - F1: 0.3593
sub_4:Test (Best Model) - Loss: 0.6106 - Accuracy: 0.6667 - F1: 0.6250
sub_8:Test (Best Model) - Loss: 0.6371 - Accuracy: 0.6071 - F1: 0.5619
sub_3:Test (Best Model) - Loss: 0.8089 - Accuracy: 0.4881 - F1: 0.4074
sub_2:Test (Best Model) - Loss: 0.6678 - Accuracy: 0.5833 - F1: 0.5176
sub_4:Test (Best Model) - Loss: 0.6926 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.7076 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.7008 - Accuracy: 0.3929 - F1: 0.2821
sub_3:Test (Best Model) - Loss: 0.8429 - Accuracy: 0.4762 - F1: 0.3226
sub_2:Test (Best Model) - Loss: 0.6397 - Accuracy: 0.7024 - F1: 0.6951
sub_1:Test (Best Model) - Loss: 0.6958 - Accuracy: 0.4881 - F1: 0.3280
sub_8:Test (Best Model) - Loss: 0.1322 - Accuracy: 0.9405 - F1: 0.9403
sub_3:Test (Best Model) - Loss: 0.6865 - Accuracy: 0.5952 - F1: 0.5446
sub_4:Test (Best Model) - Loss: 0.6909 - Accuracy: 0.5238 - F1: 0.3842
sub_9:Test (Best Model) - Loss: 0.6775 - Accuracy: 0.6548 - F1: 0.6150
sub_4:Test (Best Model) - Loss: 0.6973 - Accuracy: 0.4881 - F1: 0.3280
sub_8:Test (Best Model) - Loss: 0.2424 - Accuracy: 0.9286 - F1: 0.9284
sub_1:Test (Best Model) - Loss: 0.6737 - Accuracy: 0.6071 - F1: 0.5354
sub_1:Test (Best Model) - Loss: 1.4351 - Accuracy: 0.4881 - F1: 0.3280
sub_8:Test (Best Model) - Loss: 0.5984 - Accuracy: 0.7738 - F1: 0.7712
sub_8:Test (Best Model) - Loss: 0.5650 - Accuracy: 0.7500 - F1: 0.7471
sub_1:Test (Best Model) - Loss: 0.5027 - Accuracy: 0.7738 - F1: 0.7616
sub_8:Test (Best Model) - Loss: 0.3848 - Accuracy: 0.7857 - F1: 0.7852
sub_11:Test (Best Model) - Loss: 0.6436 - Accuracy: 0.7262 - F1: 0.7040
sub_13:Test (Best Model) - Loss: 0.6898 - Accuracy: 0.5000 - F1: 0.3333
sub_14:Test (Best Model) - Loss: 0.4314 - Accuracy: 0.9167 - F1: 0.9167
sub_13:Test (Best Model) - Loss: 0.6899 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.7043 - Accuracy: 0.5476 - F1: 0.4312
sub_13:Test (Best Model) - Loss: 0.6856 - Accuracy: 0.5000 - F1: 0.3333
sub_11:Test (Best Model) - Loss: 0.7682 - Accuracy: 0.5119 - F1: 0.3593
sub_13:Test (Best Model) - Loss: 0.6914 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.8235 - Accuracy: 0.5000 - F1: 0.3333
sub_14:Test (Best Model) - Loss: 0.6868 - Accuracy: 0.5595 - F1: 0.4535
sub_12:Test (Best Model) - Loss: 0.7000 - Accuracy: 0.5000 - F1: 0.3333
sub_13:Test (Best Model) - Loss: 0.6837 - Accuracy: 0.5119 - F1: 0.3593
sub_11:Test (Best Model) - Loss: 0.5374 - Accuracy: 0.7619 - F1: 0.7476
sub_14:Test (Best Model) - Loss: 0.4527 - Accuracy: 0.8571 - F1: 0.8571
sub_13:Test (Best Model) - Loss: 0.6544 - Accuracy: 0.8333 - F1: 0.8318
sub_12:Test (Best Model) - Loss: 0.6905 - Accuracy: 0.5000 - F1: 0.3333
sub_11:Test (Best Model) - Loss: 0.2315 - Accuracy: 0.9524 - F1: 0.9523
sub_14:Test (Best Model) - Loss: 0.5839 - Accuracy: 0.8690 - F1: 0.8686
sub_13:Test (Best Model) - Loss: 0.6855 - Accuracy: 0.5595 - F1: 0.5088
sub_14:Test (Best Model) - Loss: 0.5262 - Accuracy: 0.8333 - F1: 0.8330
sub_13:Test (Best Model) - Loss: 0.6784 - Accuracy: 0.5357 - F1: 0.4510
sub_12:Test (Best Model) - Loss: 0.2112 - Accuracy: 0.9048 - F1: 0.9039
sub_11:Test (Best Model) - Loss: 0.5791 - Accuracy: 0.7381 - F1: 0.7188
sub_13:Test (Best Model) - Loss: 0.6827 - Accuracy: 0.5476 - F1: 0.4815
sub_14:Test (Best Model) - Loss: 0.5595 - Accuracy: 0.9286 - F1: 0.9285
sub_11:Test (Best Model) - Loss: 0.6892 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.5510 - Accuracy: 0.8690 - F1: 0.8675
sub_14:Test (Best Model) - Loss: 0.6865 - Accuracy: 0.6190 - F1: 0.5634
sub_13:Test (Best Model) - Loss: 0.6800 - Accuracy: 0.5595 - F1: 0.5167
sub_14:Test (Best Model) - Loss: 0.6915 - Accuracy: 0.5000 - F1: 0.3333
sub_11:Test (Best Model) - Loss: 0.5637 - Accuracy: 0.7381 - F1: 0.7224
sub_12:Test (Best Model) - Loss: 0.6760 - Accuracy: 0.5119 - F1: 0.4228
sub_13:Test (Best Model) - Loss: 0.6542 - Accuracy: 0.6429 - F1: 0.6354
sub_13:Test (Best Model) - Loss: 0.6799 - Accuracy: 0.6548 - F1: 0.6508
sub_11:Test (Best Model) - Loss: 0.4755 - Accuracy: 0.7619 - F1: 0.7476
sub_12:Test (Best Model) - Loss: 0.6824 - Accuracy: 0.5238 - F1: 0.4167
sub_13:Test (Best Model) - Loss: 0.6802 - Accuracy: 0.5119 - F1: 0.3944
sub_14:Test (Best Model) - Loss: 0.4731 - Accuracy: 0.9048 - F1: 0.9043
sub_14:Test (Best Model) - Loss: 0.6829 - Accuracy: 0.5952 - F1: 0.5265
sub_12:Test (Best Model) - Loss: 0.6333 - Accuracy: 0.7143 - F1: 0.7141
sub_13:Test (Best Model) - Loss: 0.6994 - Accuracy: 0.4881 - F1: 0.3280
sub_11:Test (Best Model) - Loss: 0.5848 - Accuracy: 0.6548 - F1: 0.6080
sub_14:Test (Best Model) - Loss: 0.6934 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.6169 - Accuracy: 0.7143 - F1: 0.7128
sub_14:Test (Best Model) - Loss: 0.7001 - Accuracy: 0.4286 - F1: 0.3166
sub_13:Test (Best Model) - Loss: 0.6843 - Accuracy: 0.5238 - F1: 0.4430
sub_11:Test (Best Model) - Loss: 0.4870 - Accuracy: 0.8214 - F1: 0.8155
sub_12:Test (Best Model) - Loss: 0.7455 - Accuracy: 0.6667 - F1: 0.6370
sub_11:Test (Best Model) - Loss: 0.7218 - Accuracy: 0.5357 - F1: 0.4081
sub_14:Test (Best Model) - Loss: 0.9403 - Accuracy: 0.4762 - F1: 0.3226
sub_12:Test (Best Model) - Loss: 0.5136 - Accuracy: 0.7500 - F1: 0.7418
sub_11:Test (Best Model) - Loss: 0.7452 - Accuracy: 0.5238 - F1: 0.3842
sub_14:Test (Best Model) - Loss: 0.7240 - Accuracy: 0.4643 - F1: 0.3171
sub_14:Test (Best Model) - Loss: 0.7011 - Accuracy: 0.4643 - F1: 0.3171
sub_12:Test (Best Model) - Loss: 0.3387 - Accuracy: 0.8333 - F1: 0.8332
sub_11:Test (Best Model) - Loss: 0.6960 - Accuracy: 0.5000 - F1: 0.3333
sub_11:Test (Best Model) - Loss: 0.6631 - Accuracy: 0.6310 - F1: 0.5728
sub_12:Test (Best Model) - Loss: 0.4632 - Accuracy: 0.7738 - F1: 0.7683
sub_11:Test (Best Model) - Loss: 0.4289 - Accuracy: 0.8095 - F1: 0.8085
sub_12:Test (Best Model) - Loss: 1.1096 - Accuracy: 0.6548 - F1: 0.6535

=== Summary Results ===

acc: 61.15 ± 8.18
F1: 52.37 ± 11.25
acc-in: 72.05 ± 9.59
F1-in: 66.86 ± 12.67
runing time: 1736.76 seconds
