lr: 0.001
sub_1:Test (Best Model) - Loss: 12.3281 - Accuracy: 0.7262 - F1: 0.7114
sub_1:Test (Best Model) - Loss: 17.7823 - Accuracy: 0.7262 - F1: 0.7040
sub_1:Test (Best Model) - Loss: 15.6057 - Accuracy: 0.7262 - F1: 0.7079
sub_1:Test (Best Model) - Loss: 10.8289 - Accuracy: 0.7262 - F1: 0.7114
sub_1:Test (Best Model) - Loss: 16.2766 - Accuracy: 0.6905 - F1: 0.6577
sub_1:Test (Best Model) - Loss: 5.7808 - Accuracy: 0.8095 - F1: 0.8056
sub_1:Test (Best Model) - Loss: 3.3237 - Accuracy: 0.8452 - F1: 0.8452
sub_1:Test (Best Model) - Loss: 4.2762 - Accuracy: 0.8095 - F1: 0.8068
sub_1:Test (Best Model) - Loss: 7.7123 - Accuracy: 0.7857 - F1: 0.7838
sub_1:Test (Best Model) - Loss: 5.5436 - Accuracy: 0.7857 - F1: 0.7846
sub_1:Test (Best Model) - Loss: 8.4458 - Accuracy: 0.6786 - F1: 0.6473
sub_1:Test (Best Model) - Loss: 3.9413 - Accuracy: 0.8929 - F1: 0.8921
sub_1:Test (Best Model) - Loss: 4.5413 - Accuracy: 0.7857 - F1: 0.7754
sub_1:Test (Best Model) - Loss: 7.3295 - Accuracy: 0.7262 - F1: 0.7079
sub_1:Test (Best Model) - Loss: 5.4360 - Accuracy: 0.8214 - F1: 0.8183
sub_2:Test (Best Model) - Loss: 2.1147 - Accuracy: 0.8810 - F1: 0.8807
sub_2:Test (Best Model) - Loss: 1.7052 - Accuracy: 0.8690 - F1: 0.8690
sub_2:Test (Best Model) - Loss: 1.4043 - Accuracy: 0.8571 - F1: 0.8558
sub_2:Test (Best Model) - Loss: 4.0617 - Accuracy: 0.7500 - F1: 0.7333
sub_2:Test (Best Model) - Loss: 10.5046 - Accuracy: 0.5952 - F1: 0.5159
sub_2:Test (Best Model) - Loss: 1.8413 - Accuracy: 0.8810 - F1: 0.8807
sub_2:Test (Best Model) - Loss: 2.5278 - Accuracy: 0.8214 - F1: 0.8170
sub_2:Test (Best Model) - Loss: 3.6342 - Accuracy: 0.8095 - F1: 0.8056
sub_2:Test (Best Model) - Loss: 2.3889 - Accuracy: 0.8810 - F1: 0.8799
sub_2:Test (Best Model) - Loss: 2.6256 - Accuracy: 0.8214 - F1: 0.8202
sub_2:Test (Best Model) - Loss: 2.6167 - Accuracy: 0.8333 - F1: 0.8333
sub_2:Test (Best Model) - Loss: 3.1035 - Accuracy: 0.8333 - F1: 0.8325
sub_2:Test (Best Model) - Loss: 1.6136 - Accuracy: 0.8810 - F1: 0.8810
sub_2:Test (Best Model) - Loss: 1.2334 - Accuracy: 0.8333 - F1: 0.8330
sub_2:Test (Best Model) - Loss: 2.8331 - Accuracy: 0.8452 - F1: 0.8450
sub_3:Test (Best Model) - Loss: 19.3799 - Accuracy: 0.5833 - F1: 0.5073
sub_3:Test (Best Model) - Loss: 13.1549 - Accuracy: 0.5714 - F1: 0.4750
sub_3:Test (Best Model) - Loss: 11.5256 - Accuracy: 0.5952 - F1: 0.5361
sub_3:Test (Best Model) - Loss: 7.4108 - Accuracy: 0.5833 - F1: 0.5073
sub_3:Test (Best Model) - Loss: 20.7491 - Accuracy: 0.5238 - F1: 0.3842
sub_3:Test (Best Model) - Loss: 5.0424 - Accuracy: 0.7381 - F1: 0.7375
sub_3:Test (Best Model) - Loss: 6.8400 - Accuracy: 0.6548 - F1: 0.6508
sub_3:Test (Best Model) - Loss: 4.7726 - Accuracy: 0.6786 - F1: 0.6774
sub_3:Test (Best Model) - Loss: 4.6633 - Accuracy: 0.7143 - F1: 0.7117
sub_3:Test (Best Model) - Loss: 4.2707 - Accuracy: 0.7143 - F1: 0.7035
sub_3:Test (Best Model) - Loss: 14.7016 - Accuracy: 0.5476 - F1: 0.4312
sub_3:Test (Best Model) - Loss: 7.3239 - Accuracy: 0.6548 - F1: 0.6150
sub_3:Test (Best Model) - Loss: 6.6647 - Accuracy: 0.7024 - F1: 0.6735
sub_3:Test (Best Model) - Loss: 3.7696 - Accuracy: 0.7262 - F1: 0.7079
sub_3:Test (Best Model) - Loss: 5.5046 - Accuracy: 0.7143 - F1: 0.6932
sub_4:Test (Best Model) - Loss: 6.0052 - Accuracy: 0.6667 - F1: 0.6506
sub_4:Test (Best Model) - Loss: 4.4960 - Accuracy: 0.7500 - F1: 0.7456
sub_4:Test (Best Model) - Loss: 10.3841 - Accuracy: 0.7262 - F1: 0.7079
sub_4:Test (Best Model) - Loss: 5.1133 - Accuracy: 0.6905 - F1: 0.6898
sub_4:Test (Best Model) - Loss: 2.9898 - Accuracy: 0.8452 - F1: 0.8447
sub_4:Test (Best Model) - Loss: 2.9219 - Accuracy: 0.8095 - F1: 0.8091
sub_4:Test (Best Model) - Loss: 2.6989 - Accuracy: 0.8452 - F1: 0.8452
sub_4:Test (Best Model) - Loss: 4.0918 - Accuracy: 0.7381 - F1: 0.7368
sub_4:Test (Best Model) - Loss: 1.9085 - Accuracy: 0.7976 - F1: 0.7974
sub_4:Test (Best Model) - Loss: 3.6499 - Accuracy: 0.8095 - F1: 0.8078
sub_4:Test (Best Model) - Loss: 1.6801 - Accuracy: 0.7857 - F1: 0.7856
sub_4:Test (Best Model) - Loss: 0.8204 - Accuracy: 0.8810 - F1: 0.8810
sub_4:Test (Best Model) - Loss: 4.0177 - Accuracy: 0.7143 - F1: 0.7102
sub_4:Test (Best Model) - Loss: 2.1618 - Accuracy: 0.7619 - F1: 0.7607
sub_4:Test (Best Model) - Loss: 1.1668 - Accuracy: 0.8929 - F1: 0.8928
sub_5:Test (Best Model) - Loss: 18.7820 - Accuracy: 0.7500 - F1: 0.7333
sub_5:Test (Best Model) - Loss: 2.4226 - Accuracy: 0.8690 - F1: 0.8668
sub_5:Test (Best Model) - Loss: 3.8505 - Accuracy: 0.7024 - F1: 0.6783
sub_5:Test (Best Model) - Loss: 3.2339 - Accuracy: 0.8095 - F1: 0.8068
sub_5:Test (Best Model) - Loss: 3.0501 - Accuracy: 0.8571 - F1: 0.8568
sub_5:Test (Best Model) - Loss: 2.9817 - Accuracy: 0.7976 - F1: 0.7927
sub_5:Test (Best Model) - Loss: 2.3832 - Accuracy: 0.8452 - F1: 0.8447
sub_5:Test (Best Model) - Loss: 2.8250 - Accuracy: 0.8333 - F1: 0.8332
sub_5:Test (Best Model) - Loss: 1.6125 - Accuracy: 0.8452 - F1: 0.8447
sub_5:Test (Best Model) - Loss: 1.9355 - Accuracy: 0.8571 - F1: 0.8564
sub_5:Test (Best Model) - Loss: 2.0202 - Accuracy: 0.8571 - F1: 0.8571
sub_5:Test (Best Model) - Loss: 2.0334 - Accuracy: 0.9167 - F1: 0.9166
sub_5:Test (Best Model) - Loss: 3.6057 - Accuracy: 0.7500 - F1: 0.7418
sub_5:Test (Best Model) - Loss: 2.3187 - Accuracy: 0.8571 - F1: 0.8551
sub_5:Test (Best Model) - Loss: 6.0632 - Accuracy: 0.7738 - F1: 0.7641
sub_6:Test (Best Model) - Loss: 11.1346 - Accuracy: 0.5238 - F1: 0.4430
sub_6:Test (Best Model) - Loss: 6.8007 - Accuracy: 0.6429 - F1: 0.6396
sub_6:Test (Best Model) - Loss: 7.3980 - Accuracy: 0.4881 - F1: 0.4822
sub_6:Test (Best Model) - Loss: 4.8243 - Accuracy: 0.6786 - F1: 0.6785
sub_6:Test (Best Model) - Loss: 9.2587 - Accuracy: 0.5238 - F1: 0.4887
sub_6:Test (Best Model) - Loss: 5.6183 - Accuracy: 0.7143 - F1: 0.7035
sub_6:Test (Best Model) - Loss: 3.8710 - Accuracy: 0.6429 - F1: 0.6410
sub_6:Test (Best Model) - Loss: 7.8001 - Accuracy: 0.5833 - F1: 0.5785
sub_6:Test (Best Model) - Loss: 7.0285 - Accuracy: 0.5952 - F1: 0.5800
sub_6:Test (Best Model) - Loss: 2.6758 - Accuracy: 0.7381 - F1: 0.7375
sub_6:Test (Best Model) - Loss: 6.1265 - Accuracy: 0.5952 - F1: 0.5837
sub_6:Test (Best Model) - Loss: 2.6161 - Accuracy: 0.7381 - F1: 0.7381
sub_6:Test (Best Model) - Loss: 3.1600 - Accuracy: 0.7738 - F1: 0.7712
sub_6:Test (Best Model) - Loss: 3.2581 - Accuracy: 0.6190 - F1: 0.6082
sub_6:Test (Best Model) - Loss: 6.2889 - Accuracy: 0.7143 - F1: 0.7117
sub_7:Test (Best Model) - Loss: 19.4694 - Accuracy: 0.5952 - F1: 0.5265
sub_7:Test (Best Model) - Loss: 9.0322 - Accuracy: 0.6429 - F1: 0.6396
sub_7:Test (Best Model) - Loss: 5.1222 - Accuracy: 0.7024 - F1: 0.6989
sub_7:Test (Best Model) - Loss: 19.4201 - Accuracy: 0.5952 - F1: 0.5265
sub_7:Test (Best Model) - Loss: 6.3031 - Accuracy: 0.5714 - F1: 0.5508
sub_7:Test (Best Model) - Loss: 6.2240 - Accuracy: 0.6310 - F1: 0.6305
sub_7:Test (Best Model) - Loss: 7.3718 - Accuracy: 0.6548 - F1: 0.6434
sub_7:Test (Best Model) - Loss: 4.2366 - Accuracy: 0.6310 - F1: 0.6245
sub_7:Test (Best Model) - Loss: 6.6391 - Accuracy: 0.5952 - F1: 0.5894
sub_7:Test (Best Model) - Loss: 2.3920 - Accuracy: 0.7500 - F1: 0.7500
sub_7:Test (Best Model) - Loss: 6.2322 - Accuracy: 0.4643 - F1: 0.4354
sub_7:Test (Best Model) - Loss: 8.7686 - Accuracy: 0.5952 - F1: 0.5709
sub_7:Test (Best Model) - Loss: 7.6312 - Accuracy: 0.5833 - F1: 0.5609
sub_7:Test (Best Model) - Loss: 16.5048 - Accuracy: 0.5714 - F1: 0.4750
sub_7:Test (Best Model) - Loss: 4.8483 - Accuracy: 0.5595 - F1: 0.5595
sub_8:Test (Best Model) - Loss: 4.0774 - Accuracy: 0.7976 - F1: 0.7974
sub_8:Test (Best Model) - Loss: 7.9481 - Accuracy: 0.7738 - F1: 0.7738
sub_8:Test (Best Model) - Loss: 8.6588 - Accuracy: 0.8571 - F1: 0.8558
sub_8:Test (Best Model) - Loss: 6.1927 - Accuracy: 0.8214 - F1: 0.8212
sub_8:Test (Best Model) - Loss: 6.0012 - Accuracy: 0.8571 - F1: 0.8568
sub_8:Test (Best Model) - Loss: 3.2347 - Accuracy: 0.8095 - F1: 0.8078
sub_8:Test (Best Model) - Loss: 3.3296 - Accuracy: 0.8571 - F1: 0.8558
sub_8:Test (Best Model) - Loss: 3.6434 - Accuracy: 0.8214 - F1: 0.8208
sub_8:Test (Best Model) - Loss: 1.6478 - Accuracy: 0.9286 - F1: 0.9285
sub_8:Test (Best Model) - Loss: 3.3642 - Accuracy: 0.8690 - F1: 0.8681
sub_8:Test (Best Model) - Loss: 2.8989 - Accuracy: 0.8095 - F1: 0.8056
sub_8:Test (Best Model) - Loss: 1.4240 - Accuracy: 0.8571 - F1: 0.8564
sub_8:Test (Best Model) - Loss: 1.7965 - Accuracy: 0.9048 - F1: 0.9045
sub_8:Test (Best Model) - Loss: 3.5182 - Accuracy: 0.8690 - F1: 0.8686
sub_8:Test (Best Model) - Loss: 4.4055 - Accuracy: 0.7262 - F1: 0.7145
sub_9:Test (Best Model) - Loss: 2.6411 - Accuracy: 0.7857 - F1: 0.7812
sub_9:Test (Best Model) - Loss: 6.9105 - Accuracy: 0.6905 - F1: 0.6756
sub_9:Test (Best Model) - Loss: 9.5493 - Accuracy: 0.6786 - F1: 0.6525
sub_9:Test (Best Model) - Loss: 8.2824 - Accuracy: 0.6429 - F1: 0.6111
sub_9:Test (Best Model) - Loss: 9.8091 - Accuracy: 0.7143 - F1: 0.6932
sub_9:Test (Best Model) - Loss: 2.9936 - Accuracy: 0.8810 - F1: 0.8792
sub_9:Test (Best Model) - Loss: 2.8191 - Accuracy: 0.7857 - F1: 0.7846
sub_9:Test (Best Model) - Loss: 6.2459 - Accuracy: 0.7143 - F1: 0.7005
sub_9:Test (Best Model) - Loss: 4.3758 - Accuracy: 0.7619 - F1: 0.7529
sub_9:Test (Best Model) - Loss: 2.8228 - Accuracy: 0.7857 - F1: 0.7796
sub_9:Test (Best Model) - Loss: 12.5660 - Accuracy: 0.6071 - F1: 0.5452
sub_9:Test (Best Model) - Loss: 20.8925 - Accuracy: 0.6429 - F1: 0.5906
sub_9:Test (Best Model) - Loss: 5.2995 - Accuracy: 0.6905 - F1: 0.6630
sub_9:Test (Best Model) - Loss: 4.5348 - Accuracy: 0.7262 - F1: 0.7079
sub_9:Test (Best Model) - Loss: 6.3054 - Accuracy: 0.7738 - F1: 0.7664
sub_10:Test (Best Model) - Loss: 3.9693 - Accuracy: 0.6548 - F1: 0.6523
sub_10:Test (Best Model) - Loss: 3.5283 - Accuracy: 0.7381 - F1: 0.7381
sub_10:Test (Best Model) - Loss: 3.3926 - Accuracy: 0.7024 - F1: 0.7020
sub_10:Test (Best Model) - Loss: 4.5018 - Accuracy: 0.6310 - F1: 0.6305
sub_10:Test (Best Model) - Loss: 5.4801 - Accuracy: 0.6429 - F1: 0.6410
sub_10:Test (Best Model) - Loss: 4.7682 - Accuracy: 0.6667 - F1: 0.6506
sub_10:Test (Best Model) - Loss: 7.0133 - Accuracy: 0.6190 - F1: 0.6156
sub_10:Test (Best Model) - Loss: 9.1470 - Accuracy: 0.6429 - F1: 0.6050
sub_10:Test (Best Model) - Loss: 7.4893 - Accuracy: 0.6071 - F1: 0.6044
sub_10:Test (Best Model) - Loss: 7.4087 - Accuracy: 0.5833 - F1: 0.5556
sub_10:Test (Best Model) - Loss: 4.9060 - Accuracy: 0.5476 - F1: 0.5143
sub_10:Test (Best Model) - Loss: 2.7523 - Accuracy: 0.7381 - F1: 0.7375
sub_10:Test (Best Model) - Loss: 2.8753 - Accuracy: 0.7143 - F1: 0.7143
sub_10:Test (Best Model) - Loss: 4.8164 - Accuracy: 0.7500 - F1: 0.7456
sub_10:Test (Best Model) - Loss: 7.1828 - Accuracy: 0.5595 - F1: 0.5487
sub_11:Test (Best Model) - Loss: 5.3655 - Accuracy: 0.7262 - F1: 0.7243
sub_11:Test (Best Model) - Loss: 4.0547 - Accuracy: 0.7262 - F1: 0.7252
sub_11:Test (Best Model) - Loss: 10.7798 - Accuracy: 0.7500 - F1: 0.7333
sub_11:Test (Best Model) - Loss: 7.3927 - Accuracy: 0.6190 - F1: 0.6136
sub_11:Test (Best Model) - Loss: 9.3716 - Accuracy: 0.7143 - F1: 0.7005
sub_11:Test (Best Model) - Loss: 1.0780 - Accuracy: 0.7976 - F1: 0.7976
sub_11:Test (Best Model) - Loss: 2.4970 - Accuracy: 0.8214 - F1: 0.8183
sub_11:Test (Best Model) - Loss: 1.4618 - Accuracy: 0.8214 - F1: 0.8214
sub_11:Test (Best Model) - Loss: 1.7397 - Accuracy: 0.7500 - F1: 0.7491
sub_11:Test (Best Model) - Loss: 1.4920 - Accuracy: 0.7976 - F1: 0.7974
sub_11:Test (Best Model) - Loss: 2.8823 - Accuracy: 0.7857 - F1: 0.7812
sub_11:Test (Best Model) - Loss: 2.6711 - Accuracy: 0.7619 - F1: 0.7607
sub_11:Test (Best Model) - Loss: 3.0958 - Accuracy: 0.7500 - F1: 0.7491
sub_11:Test (Best Model) - Loss: 2.4602 - Accuracy: 0.7976 - F1: 0.7976
sub_11:Test (Best Model) - Loss: 2.2638 - Accuracy: 0.7500 - F1: 0.7500
sub_12:Test (Best Model) - Loss: 1.0507 - Accuracy: 0.8810 - F1: 0.8809
sub_12:Test (Best Model) - Loss: 1.0943 - Accuracy: 0.8452 - F1: 0.8447
sub_12:Test (Best Model) - Loss: 1.7915 - Accuracy: 0.9048 - F1: 0.9043
sub_12:Test (Best Model) - Loss: 1.3901 - Accuracy: 0.8214 - F1: 0.8208
sub_12:Test (Best Model) - Loss: 1.2641 - Accuracy: 0.8333 - F1: 0.8332
sub_12:Test (Best Model) - Loss: 7.0933 - Accuracy: 0.7262 - F1: 0.7172
sub_12:Test (Best Model) - Loss: 4.2917 - Accuracy: 0.7143 - F1: 0.7143
sub_12:Test (Best Model) - Loss: 8.5414 - Accuracy: 0.7143 - F1: 0.7005
sub_12:Test (Best Model) - Loss: 13.8150 - Accuracy: 0.6905 - F1: 0.6677
sub_12:Test (Best Model) - Loss: 7.9025 - Accuracy: 0.7381 - F1: 0.7306
sub_12:Test (Best Model) - Loss: 3.6757 - Accuracy: 0.7500 - F1: 0.7418
sub_12:Test (Best Model) - Loss: 4.4074 - Accuracy: 0.7857 - F1: 0.7838
sub_12:Test (Best Model) - Loss: 1.9620 - Accuracy: 0.7976 - F1: 0.7941
sub_12:Test (Best Model) - Loss: 5.6732 - Accuracy: 0.7262 - F1: 0.7079
sub_12:Test (Best Model) - Loss: 4.8663 - Accuracy: 0.8452 - F1: 0.8447
sub_13:Test (Best Model) - Loss: 3.9754 - Accuracy: 0.6667 - F1: 0.6541
sub_13:Test (Best Model) - Loss: 4.0000 - Accuracy: 0.7262 - F1: 0.7214
sub_13:Test (Best Model) - Loss: 3.1394 - Accuracy: 0.6429 - F1: 0.6166
sub_13:Test (Best Model) - Loss: 15.6656 - Accuracy: 0.6786 - F1: 0.6648
sub_13:Test (Best Model) - Loss: 3.6459 - Accuracy: 0.7500 - F1: 0.7483
sub_13:Test (Best Model) - Loss: 7.1052 - Accuracy: 0.6905 - F1: 0.6876
sub_13:Test (Best Model) - Loss: 5.2965 - Accuracy: 0.7143 - F1: 0.7061
sub_13:Test (Best Model) - Loss: 6.8999 - Accuracy: 0.7381 - F1: 0.7379
sub_13:Test (Best Model) - Loss: 4.2763 - Accuracy: 0.7500 - F1: 0.7418
sub_13:Test (Best Model) - Loss: 5.0803 - Accuracy: 0.7738 - F1: 0.7664
sub_13:Test (Best Model) - Loss: 2.2310 - Accuracy: 0.7619 - F1: 0.7618
sub_13:Test (Best Model) - Loss: 4.4931 - Accuracy: 0.7381 - F1: 0.7357
sub_13:Test (Best Model) - Loss: 1.7326 - Accuracy: 0.8452 - F1: 0.8447
sub_13:Test (Best Model) - Loss: 3.3037 - Accuracy: 0.7381 - F1: 0.7224
sub_13:Test (Best Model) - Loss: 3.9186 - Accuracy: 0.8333 - F1: 0.8286
sub_14:Test (Best Model) - Loss: 2.5252 - Accuracy: 0.8333 - F1: 0.8325
sub_14:Test (Best Model) - Loss: 2.3805 - Accuracy: 0.8214 - F1: 0.8183
sub_14:Test (Best Model) - Loss: 2.0932 - Accuracy: 0.8571 - F1: 0.8571
sub_14:Test (Best Model) - Loss: 4.8991 - Accuracy: 0.7738 - F1: 0.7699
sub_14:Test (Best Model) - Loss: 2.7959 - Accuracy: 0.8214 - F1: 0.8212
sub_14:Test (Best Model) - Loss: 3.7641 - Accuracy: 0.8095 - F1: 0.8041
sub_14:Test (Best Model) - Loss: 2.9565 - Accuracy: 0.8929 - F1: 0.8925
sub_14:Test (Best Model) - Loss: 1.1102 - Accuracy: 0.9167 - F1: 0.9164
sub_14:Test (Best Model) - Loss: 1.8437 - Accuracy: 0.9286 - F1: 0.9285
sub_14:Test (Best Model) - Loss: 0.4421 - Accuracy: 0.9405 - F1: 0.9404
sub_14:Test (Best Model) - Loss: 1.5781 - Accuracy: 0.8929 - F1: 0.8927
sub_14:Test (Best Model) - Loss: 3.3321 - Accuracy: 0.8452 - F1: 0.8442
sub_14:Test (Best Model) - Loss: 6.4253 - Accuracy: 0.7500 - F1: 0.7365
sub_14:Test (Best Model) - Loss: 7.6457 - Accuracy: 0.7738 - F1: 0.7641
sub_14:Test (Best Model) - Loss: 3.2516 - Accuracy: 0.7857 - F1: 0.7776

=== Summary Results ===

acc: 74.50 ± 7.68
F1: 73.36 ± 8.49
acc-in: 83.62 ± 7.42
F1-in: 83.22 ± 7.71
