lr: 0.001
sub_2:Test (Best Model) - Loss: 0.2845 - Accuracy: 0.9048 - F1: 0.9047
sub_3:Test (Best Model) - Loss: 1.5284 - Accuracy: 0.7500 - F1: 0.7365
sub_1:Test (Best Model) - Loss: 1.3903 - Accuracy: 0.7976 - F1: 0.7976
sub_2:Test (Best Model) - Loss: 0.3481 - Accuracy: 0.9048 - F1: 0.9047
sub_3:Test (Best Model) - Loss: 1.6708 - Accuracy: 0.8095 - F1: 0.8056
sub_2:Test (Best Model) - Loss: 0.3964 - Accuracy: 0.8214 - F1: 0.8183
sub_1:Test (Best Model) - Loss: 1.7461 - Accuracy: 0.7738 - F1: 0.7738
sub_2:Test (Best Model) - Loss: 0.4106 - Accuracy: 0.8571 - F1: 0.8551
sub_1:Test (Best Model) - Loss: 0.7570 - Accuracy: 0.8095 - F1: 0.8078
sub_3:Test (Best Model) - Loss: 0.7663 - Accuracy: 0.9167 - F1: 0.9164
sub_2:Test (Best Model) - Loss: 0.5832 - Accuracy: 0.8690 - F1: 0.8681
sub_1:Test (Best Model) - Loss: 1.0892 - Accuracy: 0.7500 - F1: 0.7483
sub_2:Test (Best Model) - Loss: 0.4636 - Accuracy: 0.8690 - F1: 0.8689
sub_1:Test (Best Model) - Loss: 1.0894 - Accuracy: 0.6786 - F1: 0.6571
sub_2:Test (Best Model) - Loss: 0.4579 - Accuracy: 0.8929 - F1: 0.8916
sub_3:Test (Best Model) - Loss: 1.6495 - Accuracy: 0.7976 - F1: 0.7910
sub_2:Test (Best Model) - Loss: 0.3457 - Accuracy: 0.8929 - F1: 0.8916
sub_3:Test (Best Model) - Loss: 1.0073 - Accuracy: 0.8571 - F1: 0.8558
sub_2:Test (Best Model) - Loss: 0.6484 - Accuracy: 0.8571 - F1: 0.8542
sub_1:Test (Best Model) - Loss: 0.6821 - Accuracy: 0.8690 - F1: 0.8686
sub_3:Test (Best Model) - Loss: 0.9376 - Accuracy: 0.8333 - F1: 0.8333
sub_2:Test (Best Model) - Loss: 0.8307 - Accuracy: 0.8452 - F1: 0.8414
sub_1:Test (Best Model) - Loss: 0.1107 - Accuracy: 0.9643 - F1: 0.9642
sub_2:Test (Best Model) - Loss: 2.7129 - Accuracy: 0.7381 - F1: 0.7379
sub_3:Test (Best Model) - Loss: 1.2000 - Accuracy: 0.8214 - F1: 0.8208
sub_2:Test (Best Model) - Loss: 3.6545 - Accuracy: 0.6786 - F1: 0.6774
sub_1:Test (Best Model) - Loss: 0.7800 - Accuracy: 0.8929 - F1: 0.8928
sub_3:Test (Best Model) - Loss: 1.7309 - Accuracy: 0.7381 - F1: 0.7326
sub_2:Test (Best Model) - Loss: 1.6469 - Accuracy: 0.7262 - F1: 0.7262
sub_1:Test (Best Model) - Loss: 0.2405 - Accuracy: 0.9524 - F1: 0.9523
sub_3:Test (Best Model) - Loss: 1.0535 - Accuracy: 0.8571 - F1: 0.8571
sub_2:Test (Best Model) - Loss: 3.2176 - Accuracy: 0.6548 - F1: 0.6508
sub_1:Test (Best Model) - Loss: 0.1260 - Accuracy: 0.9524 - F1: 0.9524
sub_2:Test (Best Model) - Loss: 4.6296 - Accuracy: 0.7143 - F1: 0.7143
sub_3:Test (Best Model) - Loss: 1.8281 - Accuracy: 0.6905 - F1: 0.6816
sub_3:Test (Best Model) - Loss: 1.9072 - Accuracy: 0.7619 - F1: 0.7597
sub_1:Test (Best Model) - Loss: 1.9365 - Accuracy: 0.7381 - F1: 0.7255
sub_1:Test (Best Model) - Loss: 0.7849 - Accuracy: 0.7381 - F1: 0.7282
sub_3:Test (Best Model) - Loss: 2.1819 - Accuracy: 0.7500 - F1: 0.7497
sub_1:Test (Best Model) - Loss: 0.4390 - Accuracy: 0.8214 - F1: 0.8194
sub_3:Test (Best Model) - Loss: 3.1052 - Accuracy: 0.7262 - F1: 0.7258
sub_3:Test (Best Model) - Loss: 2.7487 - Accuracy: 0.7738 - F1: 0.7712
sub_1:Test (Best Model) - Loss: 3.3499 - Accuracy: 0.5595 - F1: 0.4791
sub_3:Test (Best Model) - Loss: 1.2283 - Accuracy: 0.8095 - F1: 0.8091
sub_1:Test (Best Model) - Loss: 1.0529 - Accuracy: 0.8095 - F1: 0.8041
sub_5:Test (Best Model) - Loss: 4.8347 - Accuracy: 0.6310 - F1: 0.6219
sub_4:Test (Best Model) - Loss: 3.3405 - Accuracy: 0.8095 - F1: 0.8094
sub_6:Test (Best Model) - Loss: 0.6060 - Accuracy: 0.8810 - F1: 0.8803
sub_5:Test (Best Model) - Loss: 6.6181 - Accuracy: 0.6548 - F1: 0.6508
sub_4:Test (Best Model) - Loss: 3.2190 - Accuracy: 0.8214 - F1: 0.8212
sub_6:Test (Best Model) - Loss: 0.3929 - Accuracy: 0.9048 - F1: 0.9048
sub_5:Test (Best Model) - Loss: 5.8653 - Accuracy: 0.5595 - F1: 0.5580
sub_6:Test (Best Model) - Loss: 0.8131 - Accuracy: 0.8214 - F1: 0.8208
sub_5:Test (Best Model) - Loss: 10.5831 - Accuracy: 0.5238 - F1: 0.5214
sub_4:Test (Best Model) - Loss: 1.9291 - Accuracy: 0.8214 - F1: 0.8208
sub_6:Test (Best Model) - Loss: 0.4851 - Accuracy: 0.8452 - F1: 0.8442
sub_4:Test (Best Model) - Loss: 7.3537 - Accuracy: 0.8333 - F1: 0.8330
sub_5:Test (Best Model) - Loss: 5.2795 - Accuracy: 0.6310 - F1: 0.6219
sub_6:Test (Best Model) - Loss: 0.3118 - Accuracy: 0.9405 - F1: 0.9405
sub_4:Test (Best Model) - Loss: 3.6956 - Accuracy: 0.8214 - F1: 0.8212
sub_5:Test (Best Model) - Loss: 0.4552 - Accuracy: 0.8333 - F1: 0.8299
sub_6:Test (Best Model) - Loss: 1.9346 - Accuracy: 0.7976 - F1: 0.7974
sub_5:Test (Best Model) - Loss: 0.3373 - Accuracy: 0.8571 - F1: 0.8542
sub_4:Test (Best Model) - Loss: 1.5254 - Accuracy: 0.7976 - F1: 0.7974
sub_6:Test (Best Model) - Loss: 1.4336 - Accuracy: 0.8452 - F1: 0.8442
sub_5:Test (Best Model) - Loss: 0.4373 - Accuracy: 0.8810 - F1: 0.8792
sub_4:Test (Best Model) - Loss: 0.7800 - Accuracy: 0.8571 - F1: 0.8568
sub_6:Test (Best Model) - Loss: 1.5442 - Accuracy: 0.8214 - F1: 0.8212
sub_4:Test (Best Model) - Loss: 1.3064 - Accuracy: 0.8214 - F1: 0.8214
sub_5:Test (Best Model) - Loss: 0.2654 - Accuracy: 0.8810 - F1: 0.8807
sub_6:Test (Best Model) - Loss: 1.2284 - Accuracy: 0.8214 - F1: 0.8202
sub_4:Test (Best Model) - Loss: 1.0139 - Accuracy: 0.7619 - F1: 0.7607
sub_5:Test (Best Model) - Loss: 0.4104 - Accuracy: 0.9048 - F1: 0.9039
sub_6:Test (Best Model) - Loss: 1.2013 - Accuracy: 0.8690 - F1: 0.8690
sub_4:Test (Best Model) - Loss: 0.8915 - Accuracy: 0.7857 - F1: 0.7846
sub_5:Test (Best Model) - Loss: 1.7533 - Accuracy: 0.6786 - F1: 0.6680
sub_6:Test (Best Model) - Loss: 4.1428 - Accuracy: 0.7738 - F1: 0.7722
sub_4:Test (Best Model) - Loss: 0.7237 - Accuracy: 0.8571 - F1: 0.8558
sub_4:Test (Best Model) - Loss: 0.8600 - Accuracy: 0.8810 - F1: 0.8803
sub_5:Test (Best Model) - Loss: 1.4972 - Accuracy: 0.6429 - F1: 0.6294
sub_6:Test (Best Model) - Loss: 4.8042 - Accuracy: 0.6905 - F1: 0.6889
sub_4:Test (Best Model) - Loss: 1.4619 - Accuracy: 0.7857 - F1: 0.7796
sub_6:Test (Best Model) - Loss: 3.4968 - Accuracy: 0.7262 - F1: 0.7243
sub_5:Test (Best Model) - Loss: 0.7431 - Accuracy: 0.7500 - F1: 0.7333
sub_4:Test (Best Model) - Loss: 1.1563 - Accuracy: 0.7738 - F1: 0.7664
sub_6:Test (Best Model) - Loss: 4.2839 - Accuracy: 0.7262 - F1: 0.7252
sub_5:Test (Best Model) - Loss: 1.9369 - Accuracy: 0.7143 - F1: 0.6889
sub_4:Test (Best Model) - Loss: 0.8957 - Accuracy: 0.8333 - F1: 0.8325
sub_6:Test (Best Model) - Loss: 2.6153 - Accuracy: 0.7857 - F1: 0.7856
sub_5:Test (Best Model) - Loss: 1.6875 - Accuracy: 0.6667 - F1: 0.6619
sub_7:Test (Best Model) - Loss: 1.5380 - Accuracy: 0.7381 - F1: 0.7255
sub_8:Test (Best Model) - Loss: 0.3732 - Accuracy: 0.9405 - F1: 0.9404
sub_9:Test (Best Model) - Loss: 5.8971 - Accuracy: 0.6548 - F1: 0.6150
sub_8:Test (Best Model) - Loss: 0.3548 - Accuracy: 0.9524 - F1: 0.9524
sub_9:Test (Best Model) - Loss: 0.6195 - Accuracy: 0.8452 - F1: 0.8425
sub_7:Test (Best Model) - Loss: 3.0206 - Accuracy: 0.7500 - F1: 0.7393
sub_8:Test (Best Model) - Loss: 0.2590 - Accuracy: 0.9643 - F1: 0.9643
sub_7:Test (Best Model) - Loss: 1.6710 - Accuracy: 0.7500 - F1: 0.7418
sub_9:Test (Best Model) - Loss: 1.1257 - Accuracy: 0.7738 - F1: 0.7616
sub_8:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.9524 - F1: 0.9524
sub_8:Test (Best Model) - Loss: 0.1687 - Accuracy: 0.9524 - F1: 0.9524
sub_7:Test (Best Model) - Loss: 1.8676 - Accuracy: 0.7738 - F1: 0.7683
sub_9:Test (Best Model) - Loss: 1.0118 - Accuracy: 0.7738 - F1: 0.7616
sub_8:Test (Best Model) - Loss: 0.0708 - Accuracy: 0.9643 - F1: 0.9643
sub_7:Test (Best Model) - Loss: 3.1207 - Accuracy: 0.6905 - F1: 0.6677
sub_9:Test (Best Model) - Loss: 0.5577 - Accuracy: 0.8810 - F1: 0.8792
sub_8:Test (Best Model) - Loss: 0.1015 - Accuracy: 0.9405 - F1: 0.9403
sub_7:Test (Best Model) - Loss: 0.6896 - Accuracy: 0.8810 - F1: 0.8807
sub_9:Test (Best Model) - Loss: 0.5011 - Accuracy: 0.8452 - F1: 0.8442
sub_8:Test (Best Model) - Loss: 0.0852 - Accuracy: 0.9881 - F1: 0.9881
sub_9:Test (Best Model) - Loss: 0.7414 - Accuracy: 0.7619 - F1: 0.7607
sub_8:Test (Best Model) - Loss: 0.1881 - Accuracy: 0.9405 - F1: 0.9403
sub_7:Test (Best Model) - Loss: 0.5134 - Accuracy: 0.8333 - F1: 0.8332
sub_8:Test (Best Model) - Loss: 0.0477 - Accuracy: 0.9762 - F1: 0.9762
sub_9:Test (Best Model) - Loss: 0.5032 - Accuracy: 0.8095 - F1: 0.8068
sub_7:Test (Best Model) - Loss: 0.5576 - Accuracy: 0.8810 - F1: 0.8807
sub_8:Test (Best Model) - Loss: 3.0641 - Accuracy: 0.8690 - F1: 0.8675
sub_7:Test (Best Model) - Loss: 0.5483 - Accuracy: 0.8810 - F1: 0.8807
sub_9:Test (Best Model) - Loss: 1.2230 - Accuracy: 0.6905 - F1: 0.6889
sub_8:Test (Best Model) - Loss: 3.0070 - Accuracy: 0.8810 - F1: 0.8792
sub_9:Test (Best Model) - Loss: 4.5623 - Accuracy: 0.7024 - F1: 0.6951
sub_7:Test (Best Model) - Loss: 0.4892 - Accuracy: 0.8810 - F1: 0.8810
sub_7:Test (Best Model) - Loss: 2.2012 - Accuracy: 0.6429 - F1: 0.6354
sub_8:Test (Best Model) - Loss: 2.0775 - Accuracy: 0.8929 - F1: 0.8921
sub_9:Test (Best Model) - Loss: 2.1161 - Accuracy: 0.6310 - F1: 0.6152
sub_7:Test (Best Model) - Loss: 2.0179 - Accuracy: 0.6667 - F1: 0.6636
sub_8:Test (Best Model) - Loss: 4.9326 - Accuracy: 0.8929 - F1: 0.8916
sub_7:Test (Best Model) - Loss: 1.0661 - Accuracy: 0.6905 - F1: 0.6756
sub_8:Test (Best Model) - Loss: 4.0106 - Accuracy: 0.8929 - F1: 0.8925
sub_9:Test (Best Model) - Loss: 1.6975 - Accuracy: 0.7262 - F1: 0.7172
sub_7:Test (Best Model) - Loss: 1.3885 - Accuracy: 0.7143 - F1: 0.7128
sub_9:Test (Best Model) - Loss: 1.5023 - Accuracy: 0.6429 - F1: 0.6327
sub_7:Test (Best Model) - Loss: 0.9966 - Accuracy: 0.7143 - F1: 0.7061
sub_9:Test (Best Model) - Loss: 1.0603 - Accuracy: 0.8333 - F1: 0.8309
sub_9:Test (Best Model) - Loss: 1.9604 - Accuracy: 0.7857 - F1: 0.7796
sub_12:Test (Best Model) - Loss: 1.0899 - Accuracy: 0.8452 - F1: 0.8450
sub_10:Test (Best Model) - Loss: 0.5487 - Accuracy: 0.9405 - F1: 0.9404
sub_11:Test (Best Model) - Loss: 1.3778 - Accuracy: 0.8929 - F1: 0.8928
sub_12:Test (Best Model) - Loss: 0.3471 - Accuracy: 0.8810 - F1: 0.8803
sub_10:Test (Best Model) - Loss: 0.7833 - Accuracy: 0.9524 - F1: 0.9524
sub_11:Test (Best Model) - Loss: 1.6629 - Accuracy: 0.8810 - F1: 0.8809
sub_12:Test (Best Model) - Loss: 0.7393 - Accuracy: 0.7976 - F1: 0.7910
sub_10:Test (Best Model) - Loss: 0.8440 - Accuracy: 0.9405 - F1: 0.9404
sub_12:Test (Best Model) - Loss: 0.5843 - Accuracy: 0.8214 - F1: 0.8194
sub_10:Test (Best Model) - Loss: 0.5045 - Accuracy: 0.9405 - F1: 0.9404
sub_11:Test (Best Model) - Loss: 1.1711 - Accuracy: 0.8810 - F1: 0.8799
sub_12:Test (Best Model) - Loss: 0.5128 - Accuracy: 0.8452 - F1: 0.8434
sub_10:Test (Best Model) - Loss: 0.4877 - Accuracy: 0.9405 - F1: 0.9404
sub_12:Test (Best Model) - Loss: 0.0736 - Accuracy: 0.9405 - F1: 0.9404
sub_11:Test (Best Model) - Loss: 0.7760 - Accuracy: 0.8929 - F1: 0.8925
sub_11:Test (Best Model) - Loss: 1.9067 - Accuracy: 0.8095 - F1: 0.8068
sub_10:Test (Best Model) - Loss: 2.9976 - Accuracy: 0.8214 - F1: 0.8155
sub_12:Test (Best Model) - Loss: 0.2873 - Accuracy: 0.9405 - F1: 0.9403
sub_10:Test (Best Model) - Loss: 0.4248 - Accuracy: 0.8690 - F1: 0.8681
sub_11:Test (Best Model) - Loss: 0.6556 - Accuracy: 0.8810 - F1: 0.8799
sub_10:Test (Best Model) - Loss: 0.2773 - Accuracy: 0.9286 - F1: 0.9285
sub_12:Test (Best Model) - Loss: 0.0748 - Accuracy: 0.9524 - F1: 0.9524
sub_10:Test (Best Model) - Loss: 0.9937 - Accuracy: 0.8214 - F1: 0.8170
sub_11:Test (Best Model) - Loss: 0.3655 - Accuracy: 0.9167 - F1: 0.9164
sub_10:Test (Best Model) - Loss: 0.6183 - Accuracy: 0.8333 - F1: 0.8299
sub_12:Test (Best Model) - Loss: 0.3055 - Accuracy: 0.9524 - F1: 0.9523
sub_11:Test (Best Model) - Loss: 1.7017 - Accuracy: 0.8333 - F1: 0.8286
sub_10:Test (Best Model) - Loss: 1.9419 - Accuracy: 0.6429 - F1: 0.5906
sub_12:Test (Best Model) - Loss: 0.1470 - Accuracy: 0.9286 - F1: 0.9282
sub_11:Test (Best Model) - Loss: 0.3928 - Accuracy: 0.9405 - F1: 0.9405
sub_10:Test (Best Model) - Loss: 0.7208 - Accuracy: 0.7143 - F1: 0.7143
sub_11:Test (Best Model) - Loss: 0.3304 - Accuracy: 0.9286 - F1: 0.9284
sub_12:Test (Best Model) - Loss: 4.3441 - Accuracy: 0.7143 - F1: 0.7083
sub_10:Test (Best Model) - Loss: 3.0249 - Accuracy: 0.6548 - F1: 0.6361
sub_12:Test (Best Model) - Loss: 2.3646 - Accuracy: 0.7857 - F1: 0.7826
sub_10:Test (Best Model) - Loss: 0.7095 - Accuracy: 0.6310 - F1: 0.6305
sub_11:Test (Best Model) - Loss: 0.3427 - Accuracy: 0.9048 - F1: 0.9045
sub_10:Test (Best Model) - Loss: 1.7118 - Accuracy: 0.6667 - F1: 0.6506
sub_12:Test (Best Model) - Loss: 5.9219 - Accuracy: 0.6667 - F1: 0.6541
sub_11:Test (Best Model) - Loss: 0.4860 - Accuracy: 0.8690 - F1: 0.8690
sub_11:Test (Best Model) - Loss: 0.3363 - Accuracy: 0.8929 - F1: 0.8927
sub_12:Test (Best Model) - Loss: 1.6603 - Accuracy: 0.7738 - F1: 0.7664
sub_12:Test (Best Model) - Loss: 1.8093 - Accuracy: 0.7976 - F1: 0.7941
sub_11:Test (Best Model) - Loss: 0.3423 - Accuracy: 0.8810 - F1: 0.8807
sub_11:Test (Best Model) - Loss: 0.3020 - Accuracy: 0.9048 - F1: 0.9047
sub_13:Test (Best Model) - Loss: 0.2007 - Accuracy: 0.9286 - F1: 0.9286
sub_14:Test (Best Model) - Loss: 3.3053 - Accuracy: 0.7857 - F1: 0.7856
sub_13:Test (Best Model) - Loss: 0.4840 - Accuracy: 0.8810 - F1: 0.8792
sub_14:Test (Best Model) - Loss: 2.7962 - Accuracy: 0.8333 - F1: 0.8330
sub_13:Test (Best Model) - Loss: 1.0209 - Accuracy: 0.7857 - F1: 0.7754
sub_13:Test (Best Model) - Loss: 0.6801 - Accuracy: 0.7857 - F1: 0.7754
sub_14:Test (Best Model) - Loss: 0.8028 - Accuracy: 0.8452 - F1: 0.8450
sub_13:Test (Best Model) - Loss: 0.1072 - Accuracy: 0.9643 - F1: 0.9643
sub_14:Test (Best Model) - Loss: 1.4493 - Accuracy: 0.8333 - F1: 0.8330
sub_13:Test (Best Model) - Loss: 0.4509 - Accuracy: 0.9167 - F1: 0.9164
sub_14:Test (Best Model) - Loss: 1.6029 - Accuracy: 0.7857 - F1: 0.7812
sub_13:Test (Best Model) - Loss: 0.1892 - Accuracy: 0.9405 - F1: 0.9405
sub_13:Test (Best Model) - Loss: 0.9162 - Accuracy: 0.8810 - F1: 0.8807
sub_14:Test (Best Model) - Loss: 0.2717 - Accuracy: 0.9048 - F1: 0.9039
sub_13:Test (Best Model) - Loss: 0.2287 - Accuracy: 0.9286 - F1: 0.9284
sub_13:Test (Best Model) - Loss: 0.2890 - Accuracy: 0.9286 - F1: 0.9284
sub_14:Test (Best Model) - Loss: 0.1754 - Accuracy: 0.9286 - F1: 0.9282
sub_13:Test (Best Model) - Loss: 2.0140 - Accuracy: 0.8929 - F1: 0.8925
sub_14:Test (Best Model) - Loss: 0.1743 - Accuracy: 0.9167 - F1: 0.9161
sub_13:Test (Best Model) - Loss: 2.5176 - Accuracy: 0.8452 - F1: 0.8434
sub_14:Test (Best Model) - Loss: 0.2066 - Accuracy: 0.8690 - F1: 0.8686
sub_13:Test (Best Model) - Loss: 1.2316 - Accuracy: 0.8571 - F1: 0.8558
sub_13:Test (Best Model) - Loss: 2.0145 - Accuracy: 0.8452 - F1: 0.8434
sub_14:Test (Best Model) - Loss: 0.1694 - Accuracy: 0.9524 - F1: 0.9523
sub_13:Test (Best Model) - Loss: 1.6452 - Accuracy: 0.8810 - F1: 0.8807
sub_14:Test (Best Model) - Loss: 2.5333 - Accuracy: 0.5952 - F1: 0.5361
sub_14:Test (Best Model) - Loss: 2.1743 - Accuracy: 0.5952 - F1: 0.5265
sub_14:Test (Best Model) - Loss: 1.8037 - Accuracy: 0.6190 - F1: 0.5634
sub_14:Test (Best Model) - Loss: 1.3734 - Accuracy: 0.6190 - F1: 0.5634
sub_14:Test (Best Model) - Loss: 2.4784 - Accuracy: 0.5952 - F1: 0.5361

=== Summary Results ===

acc: 81.71 ± 5.43
F1: 81.20 ± 5.73
acc-in: 94.63 ± 2.57
F1-in: 94.54 ± 2.75
runing time: 1256.69 seconds
