lr: 0.001
sub_1:Test (Best Model) - Loss: 17.2680 - Accuracy: 0.7024 - F1: 0.6825
sub_1:Test (Best Model) - Loss: 12.3530 - Accuracy: 0.7143 - F1: 0.6889
sub_1:Test (Best Model) - Loss: 29.9047 - Accuracy: 0.6548 - F1: 0.6080
sub_1:Test (Best Model) - Loss: 15.2733 - Accuracy: 0.7262 - F1: 0.7114
sub_1:Test (Best Model) - Loss: 21.4738 - Accuracy: 0.6429 - F1: 0.5906
sub_1:Test (Best Model) - Loss: 5.3768 - Accuracy: 0.8214 - F1: 0.8214
sub_1:Test (Best Model) - Loss: 1.8937 - Accuracy: 0.9167 - F1: 0.9166
sub_1:Test (Best Model) - Loss: 9.9416 - Accuracy: 0.6667 - F1: 0.6571
sub_1:Test (Best Model) - Loss: 7.2610 - Accuracy: 0.7738 - F1: 0.7699
sub_1:Test (Best Model) - Loss: 7.5677 - Accuracy: 0.8214 - F1: 0.8155
sub_1:Test (Best Model) - Loss: 24.6934 - Accuracy: 0.6310 - F1: 0.5728
sub_1:Test (Best Model) - Loss: 8.5139 - Accuracy: 0.7262 - F1: 0.7079
sub_1:Test (Best Model) - Loss: 6.2395 - Accuracy: 0.6786 - F1: 0.6415
sub_1:Test (Best Model) - Loss: 8.1556 - Accuracy: 0.7619 - F1: 0.7476
sub_1:Test (Best Model) - Loss: 29.4281 - Accuracy: 0.6429 - F1: 0.5906
sub_2:Test (Best Model) - Loss: 10.6348 - Accuracy: 0.7381 - F1: 0.7188
sub_2:Test (Best Model) - Loss: 0.4731 - Accuracy: 0.9167 - F1: 0.9166
sub_2:Test (Best Model) - Loss: 3.1549 - Accuracy: 0.8095 - F1: 0.8041
sub_2:Test (Best Model) - Loss: 3.1874 - Accuracy: 0.8452 - F1: 0.8414
sub_2:Test (Best Model) - Loss: 10.6342 - Accuracy: 0.7262 - F1: 0.7040
sub_2:Test (Best Model) - Loss: 1.1720 - Accuracy: 0.9167 - F1: 0.9166
sub_2:Test (Best Model) - Loss: 1.3406 - Accuracy: 0.9405 - F1: 0.9403
sub_2:Test (Best Model) - Loss: 1.4559 - Accuracy: 0.8929 - F1: 0.8927
sub_2:Test (Best Model) - Loss: 1.8750 - Accuracy: 0.8571 - F1: 0.8542
sub_2:Test (Best Model) - Loss: 0.9345 - Accuracy: 0.9167 - F1: 0.9167
sub_2:Test (Best Model) - Loss: 3.0863 - Accuracy: 0.8571 - F1: 0.8564
sub_2:Test (Best Model) - Loss: 1.9309 - Accuracy: 0.9167 - F1: 0.9167
sub_2:Test (Best Model) - Loss: 2.4715 - Accuracy: 0.8929 - F1: 0.8927
sub_2:Test (Best Model) - Loss: 3.4387 - Accuracy: 0.8810 - F1: 0.8809
sub_2:Test (Best Model) - Loss: 2.5997 - Accuracy: 0.8690 - F1: 0.8681
sub_3:Test (Best Model) - Loss: 10.8325 - Accuracy: 0.6190 - F1: 0.5544
sub_3:Test (Best Model) - Loss: 8.3598 - Accuracy: 0.6071 - F1: 0.5540
sub_3:Test (Best Model) - Loss: 6.1034 - Accuracy: 0.7143 - F1: 0.7005
sub_3:Test (Best Model) - Loss: 3.9516 - Accuracy: 0.6786 - F1: 0.6707
sub_3:Test (Best Model) - Loss: 18.5994 - Accuracy: 0.5238 - F1: 0.3842
sub_3:Test (Best Model) - Loss: 6.6017 - Accuracy: 0.7262 - F1: 0.7230
sub_3:Test (Best Model) - Loss: 6.9959 - Accuracy: 0.7143 - F1: 0.7136
sub_3:Test (Best Model) - Loss: 20.4563 - Accuracy: 0.5833 - F1: 0.5176
sub_3:Test (Best Model) - Loss: 5.9684 - Accuracy: 0.6786 - F1: 0.6680
sub_3:Test (Best Model) - Loss: 6.0619 - Accuracy: 0.6310 - F1: 0.6309
sub_3:Test (Best Model) - Loss: 18.4487 - Accuracy: 0.6190 - F1: 0.5544
sub_3:Test (Best Model) - Loss: 8.1529 - Accuracy: 0.6071 - F1: 0.5354
sub_3:Test (Best Model) - Loss: 23.2585 - Accuracy: 0.6071 - F1: 0.5354
sub_3:Test (Best Model) - Loss: 4.7139 - Accuracy: 0.7143 - F1: 0.7141
sub_3:Test (Best Model) - Loss: 16.2562 - Accuracy: 0.7024 - F1: 0.6735
sub_4:Test (Best Model) - Loss: 5.4207 - Accuracy: 0.7976 - F1: 0.7962
sub_4:Test (Best Model) - Loss: 6.5485 - Accuracy: 0.7738 - F1: 0.7722
sub_4:Test (Best Model) - Loss: 5.3200 - Accuracy: 0.7381 - F1: 0.7343
sub_4:Test (Best Model) - Loss: 11.6040 - Accuracy: 0.7143 - F1: 0.7128
sub_4:Test (Best Model) - Loss: 5.1830 - Accuracy: 0.7619 - F1: 0.7476
sub_4:Test (Best Model) - Loss: 3.5386 - Accuracy: 0.7976 - F1: 0.7953
sub_4:Test (Best Model) - Loss: 3.7386 - Accuracy: 0.8333 - F1: 0.8299
sub_4:Test (Best Model) - Loss: 1.4274 - Accuracy: 0.8452 - F1: 0.8434
sub_4:Test (Best Model) - Loss: 4.6785 - Accuracy: 0.7381 - F1: 0.7282
sub_4:Test (Best Model) - Loss: 10.3665 - Accuracy: 0.6786 - F1: 0.6612
sub_4:Test (Best Model) - Loss: 2.7129 - Accuracy: 0.8333 - F1: 0.8325
sub_4:Test (Best Model) - Loss: 3.3399 - Accuracy: 0.8452 - F1: 0.8414
sub_4:Test (Best Model) - Loss: 4.8609 - Accuracy: 0.8214 - F1: 0.8212
sub_4:Test (Best Model) - Loss: 2.1854 - Accuracy: 0.8333 - F1: 0.8318
sub_4:Test (Best Model) - Loss: 2.8471 - Accuracy: 0.8571 - F1: 0.8571
sub_5:Test (Best Model) - Loss: 7.5272 - Accuracy: 0.8214 - F1: 0.8170
sub_5:Test (Best Model) - Loss: 1.9982 - Accuracy: 0.9167 - F1: 0.9167
sub_5:Test (Best Model) - Loss: 3.3705 - Accuracy: 0.8929 - F1: 0.8927
sub_5:Test (Best Model) - Loss: 7.5814 - Accuracy: 0.7262 - F1: 0.7114
sub_5:Test (Best Model) - Loss: 10.8361 - Accuracy: 0.7857 - F1: 0.7754
sub_5:Test (Best Model) - Loss: 6.7885 - Accuracy: 0.7024 - F1: 0.6735
sub_5:Test (Best Model) - Loss: 4.5062 - Accuracy: 0.8571 - F1: 0.8571
sub_5:Test (Best Model) - Loss: 2.3706 - Accuracy: 0.8690 - F1: 0.8686
sub_5:Test (Best Model) - Loss: 2.3536 - Accuracy: 0.8690 - F1: 0.8681
sub_5:Test (Best Model) - Loss: 1.5432 - Accuracy: 0.8810 - F1: 0.8799
sub_5:Test (Best Model) - Loss: 6.4151 - Accuracy: 0.6905 - F1: 0.6677
sub_5:Test (Best Model) - Loss: 4.1516 - Accuracy: 0.8095 - F1: 0.8041
sub_5:Test (Best Model) - Loss: 2.8834 - Accuracy: 0.8810 - F1: 0.8803
sub_5:Test (Best Model) - Loss: 2.0767 - Accuracy: 0.9048 - F1: 0.9047
sub_5:Test (Best Model) - Loss: 4.0416 - Accuracy: 0.7976 - F1: 0.7974
sub_6:Test (Best Model) - Loss: 8.0676 - Accuracy: 0.6905 - F1: 0.6840
sub_6:Test (Best Model) - Loss: 4.2016 - Accuracy: 0.7619 - F1: 0.7619
sub_6:Test (Best Model) - Loss: 5.9611 - Accuracy: 0.6190 - F1: 0.6136
sub_6:Test (Best Model) - Loss: 5.2036 - Accuracy: 0.6429 - F1: 0.6410
sub_6:Test (Best Model) - Loss: 7.5802 - Accuracy: 0.7024 - F1: 0.6989
sub_6:Test (Best Model) - Loss: 5.8924 - Accuracy: 0.6429 - F1: 0.6427
sub_6:Test (Best Model) - Loss: 6.6894 - Accuracy: 0.7738 - F1: 0.7664
sub_6:Test (Best Model) - Loss: 8.8287 - Accuracy: 0.5952 - F1: 0.5758
sub_6:Test (Best Model) - Loss: 11.2820 - Accuracy: 0.6667 - F1: 0.6571
sub_6:Test (Best Model) - Loss: 6.5161 - Accuracy: 0.6548 - F1: 0.6543
sub_6:Test (Best Model) - Loss: 8.1844 - Accuracy: 0.6667 - F1: 0.6597
sub_6:Test (Best Model) - Loss: 3.8323 - Accuracy: 0.7024 - F1: 0.7023
sub_6:Test (Best Model) - Loss: 3.6140 - Accuracy: 0.7262 - F1: 0.7258
sub_6:Test (Best Model) - Loss: 5.0150 - Accuracy: 0.7143 - F1: 0.7136
sub_6:Test (Best Model) - Loss: 4.5616 - Accuracy: 0.6310 - F1: 0.6309
sub_7:Test (Best Model) - Loss: 11.2678 - Accuracy: 0.6190 - F1: 0.5714
sub_7:Test (Best Model) - Loss: 9.9646 - Accuracy: 0.6310 - F1: 0.5951
sub_7:Test (Best Model) - Loss: 8.0184 - Accuracy: 0.6548 - F1: 0.6535
sub_7:Test (Best Model) - Loss: 11.3339 - Accuracy: 0.6071 - F1: 0.5452
sub_7:Test (Best Model) - Loss: 10.2096 - Accuracy: 0.6310 - F1: 0.5951
sub_7:Test (Best Model) - Loss: 3.9384 - Accuracy: 0.7143 - F1: 0.7128
sub_7:Test (Best Model) - Loss: 4.4957 - Accuracy: 0.7619 - F1: 0.7597
sub_7:Test (Best Model) - Loss: 3.1539 - Accuracy: 0.6548 - F1: 0.6535
sub_7:Test (Best Model) - Loss: 5.7055 - Accuracy: 0.6667 - F1: 0.6619
sub_7:Test (Best Model) - Loss: 5.5980 - Accuracy: 0.6667 - F1: 0.6421
sub_7:Test (Best Model) - Loss: 4.5972 - Accuracy: 0.6429 - F1: 0.6429
sub_7:Test (Best Model) - Loss: 5.8597 - Accuracy: 0.6786 - F1: 0.6571
sub_7:Test (Best Model) - Loss: 2.7856 - Accuracy: 0.6905 - F1: 0.6860
sub_7:Test (Best Model) - Loss: 4.5417 - Accuracy: 0.6548 - F1: 0.6543
sub_7:Test (Best Model) - Loss: 6.8061 - Accuracy: 0.6310 - F1: 0.6309
sub_8:Test (Best Model) - Loss: 6.8383 - Accuracy: 0.7143 - F1: 0.7117
sub_8:Test (Best Model) - Loss: 4.9082 - Accuracy: 0.8452 - F1: 0.8447
sub_8:Test (Best Model) - Loss: 13.3557 - Accuracy: 0.8571 - F1: 0.8558
sub_8:Test (Best Model) - Loss: 14.2099 - Accuracy: 0.8333 - F1: 0.8318
sub_8:Test (Best Model) - Loss: 11.3980 - Accuracy: 0.8214 - F1: 0.8212
sub_8:Test (Best Model) - Loss: 2.6821 - Accuracy: 0.8929 - F1: 0.8925
sub_8:Test (Best Model) - Loss: 3.6131 - Accuracy: 0.8452 - F1: 0.8434
sub_8:Test (Best Model) - Loss: 1.1826 - Accuracy: 0.9524 - F1: 0.9524
sub_8:Test (Best Model) - Loss: 3.2683 - Accuracy: 0.9048 - F1: 0.9047
sub_8:Test (Best Model) - Loss: 3.2258 - Accuracy: 0.8810 - F1: 0.8810
sub_8:Test (Best Model) - Loss: 0.7917 - Accuracy: 0.9167 - F1: 0.9166
sub_8:Test (Best Model) - Loss: 3.3062 - Accuracy: 0.7738 - F1: 0.7641
sub_8:Test (Best Model) - Loss: 3.9370 - Accuracy: 0.8333 - F1: 0.8299
sub_8:Test (Best Model) - Loss: 1.5783 - Accuracy: 0.9286 - F1: 0.9284
sub_8:Test (Best Model) - Loss: 1.8214 - Accuracy: 0.9286 - F1: 0.9285
sub_9:Test (Best Model) - Loss: 14.8904 - Accuracy: 0.7143 - F1: 0.6889
sub_9:Test (Best Model) - Loss: 9.7749 - Accuracy: 0.6905 - F1: 0.6905
sub_9:Test (Best Model) - Loss: 2.2917 - Accuracy: 0.8333 - F1: 0.8332
sub_9:Test (Best Model) - Loss: 8.9323 - Accuracy: 0.6310 - F1: 0.5810
sub_9:Test (Best Model) - Loss: 4.1389 - Accuracy: 0.7024 - F1: 0.6825
sub_9:Test (Best Model) - Loss: 2.1175 - Accuracy: 0.8929 - F1: 0.8928
sub_9:Test (Best Model) - Loss: 9.0589 - Accuracy: 0.7619 - F1: 0.7476
sub_9:Test (Best Model) - Loss: 2.9317 - Accuracy: 0.8571 - F1: 0.8564
sub_9:Test (Best Model) - Loss: 2.5956 - Accuracy: 0.7976 - F1: 0.7927
sub_9:Test (Best Model) - Loss: 1.3594 - Accuracy: 0.8929 - F1: 0.8925
sub_9:Test (Best Model) - Loss: 13.5321 - Accuracy: 0.6905 - F1: 0.6577
sub_9:Test (Best Model) - Loss: 7.7333 - Accuracy: 0.7738 - F1: 0.7616
sub_9:Test (Best Model) - Loss: 14.9036 - Accuracy: 0.6310 - F1: 0.5728
sub_9:Test (Best Model) - Loss: 9.2422 - Accuracy: 0.7381 - F1: 0.7224
sub_9:Test (Best Model) - Loss: 7.9417 - Accuracy: 0.8095 - F1: 0.8056
sub_10:Test (Best Model) - Loss: 5.8940 - Accuracy: 0.6548 - F1: 0.6543
sub_10:Test (Best Model) - Loss: 6.9382 - Accuracy: 0.6667 - F1: 0.6597
sub_10:Test (Best Model) - Loss: 4.7619 - Accuracy: 0.7262 - F1: 0.7195
sub_10:Test (Best Model) - Loss: 4.7017 - Accuracy: 0.6905 - F1: 0.6905
sub_10:Test (Best Model) - Loss: 5.9619 - Accuracy: 0.6905 - F1: 0.6719
sub_10:Test (Best Model) - Loss: 6.4371 - Accuracy: 0.6548 - F1: 0.6547
sub_10:Test (Best Model) - Loss: 17.2894 - Accuracy: 0.6071 - F1: 0.6057
sub_10:Test (Best Model) - Loss: 7.4585 - Accuracy: 0.6905 - F1: 0.6756
sub_10:Test (Best Model) - Loss: 10.1658 - Accuracy: 0.6548 - F1: 0.6547
sub_10:Test (Best Model) - Loss: 10.1244 - Accuracy: 0.6429 - F1: 0.6327
sub_10:Test (Best Model) - Loss: 3.2095 - Accuracy: 0.7500 - F1: 0.7497
sub_10:Test (Best Model) - Loss: 2.7535 - Accuracy: 0.6548 - F1: 0.6543
sub_10:Test (Best Model) - Loss: 5.5777 - Accuracy: 0.7500 - F1: 0.7500
sub_10:Test (Best Model) - Loss: 1.7105 - Accuracy: 0.7976 - F1: 0.7976
sub_10:Test (Best Model) - Loss: 5.1546 - Accuracy: 0.6190 - F1: 0.6171
sub_11:Test (Best Model) - Loss: 9.2433 - Accuracy: 0.7143 - F1: 0.7102
sub_11:Test (Best Model) - Loss: 5.7169 - Accuracy: 0.7024 - F1: 0.7023
sub_11:Test (Best Model) - Loss: 19.5582 - Accuracy: 0.5833 - F1: 0.5353
sub_11:Test (Best Model) - Loss: 8.0136 - Accuracy: 0.6548 - F1: 0.6463
sub_11:Test (Best Model) - Loss: 9.0694 - Accuracy: 0.6905 - F1: 0.6719
sub_11:Test (Best Model) - Loss: 1.0652 - Accuracy: 0.8452 - F1: 0.8452
sub_11:Test (Best Model) - Loss: 4.2295 - Accuracy: 0.6905 - F1: 0.6788
sub_11:Test (Best Model) - Loss: 3.9023 - Accuracy: 0.7857 - F1: 0.7856
sub_11:Test (Best Model) - Loss: 5.7057 - Accuracy: 0.8452 - F1: 0.8425
sub_11:Test (Best Model) - Loss: 1.5476 - Accuracy: 0.8214 - F1: 0.8212
sub_11:Test (Best Model) - Loss: 4.1221 - Accuracy: 0.7381 - F1: 0.7375
sub_11:Test (Best Model) - Loss: 3.9306 - Accuracy: 0.7619 - F1: 0.7618
sub_11:Test (Best Model) - Loss: 2.9628 - Accuracy: 0.8214 - F1: 0.8170
sub_11:Test (Best Model) - Loss: 1.6659 - Accuracy: 0.8929 - F1: 0.8927
sub_11:Test (Best Model) - Loss: 3.8249 - Accuracy: 0.7738 - F1: 0.7735
sub_12:Test (Best Model) - Loss: 1.9667 - Accuracy: 0.9048 - F1: 0.9045
sub_12:Test (Best Model) - Loss: 5.2493 - Accuracy: 0.7738 - F1: 0.7616
sub_12:Test (Best Model) - Loss: 2.6946 - Accuracy: 0.8929 - F1: 0.8916
sub_12:Test (Best Model) - Loss: 4.1555 - Accuracy: 0.7857 - F1: 0.7754
sub_12:Test (Best Model) - Loss: 4.2106 - Accuracy: 0.7381 - F1: 0.7379
sub_12:Test (Best Model) - Loss: 28.3056 - Accuracy: 0.6667 - F1: 0.6506
sub_12:Test (Best Model) - Loss: 16.1287 - Accuracy: 0.7262 - F1: 0.7079
sub_12:Test (Best Model) - Loss: 16.0134 - Accuracy: 0.7262 - F1: 0.7079
sub_12:Test (Best Model) - Loss: 9.8415 - Accuracy: 0.7381 - F1: 0.7326
sub_12:Test (Best Model) - Loss: 11.7753 - Accuracy: 0.7381 - F1: 0.7224
sub_12:Test (Best Model) - Loss: 5.6425 - Accuracy: 0.7738 - F1: 0.7641
sub_12:Test (Best Model) - Loss: 10.1235 - Accuracy: 0.7143 - F1: 0.6889
sub_12:Test (Best Model) - Loss: 2.3527 - Accuracy: 0.8690 - F1: 0.8686
sub_12:Test (Best Model) - Loss: 7.5414 - Accuracy: 0.6905 - F1: 0.6577
sub_12:Test (Best Model) - Loss: 4.1024 - Accuracy: 0.8571 - F1: 0.8558
sub_13:Test (Best Model) - Loss: 3.5162 - Accuracy: 0.7143 - F1: 0.7136
sub_13:Test (Best Model) - Loss: 5.2581 - Accuracy: 0.7024 - F1: 0.7003
sub_13:Test (Best Model) - Loss: 5.6246 - Accuracy: 0.7143 - F1: 0.7061
sub_13:Test (Best Model) - Loss: 3.2036 - Accuracy: 0.7619 - F1: 0.7607
sub_13:Test (Best Model) - Loss: 5.9434 - Accuracy: 0.7143 - F1: 0.7141
sub_13:Test (Best Model) - Loss: 9.7926 - Accuracy: 0.6905 - F1: 0.6876
sub_13:Test (Best Model) - Loss: 10.8038 - Accuracy: 0.7500 - F1: 0.7471
sub_13:Test (Best Model) - Loss: 7.5636 - Accuracy: 0.7143 - F1: 0.7141
sub_13:Test (Best Model) - Loss: 9.3856 - Accuracy: 0.7500 - F1: 0.7471
sub_13:Test (Best Model) - Loss: 12.2814 - Accuracy: 0.7619 - F1: 0.7618
sub_13:Test (Best Model) - Loss: 3.2701 - Accuracy: 0.7381 - F1: 0.7188
sub_13:Test (Best Model) - Loss: 1.3677 - Accuracy: 0.8333 - F1: 0.8333
sub_13:Test (Best Model) - Loss: 4.7260 - Accuracy: 0.7024 - F1: 0.6972
sub_13:Test (Best Model) - Loss: 1.3837 - Accuracy: 0.8333 - F1: 0.8325
sub_13:Test (Best Model) - Loss: 6.7256 - Accuracy: 0.7619 - F1: 0.7529
sub_14:Test (Best Model) - Loss: 3.3438 - Accuracy: 0.8333 - F1: 0.8299
sub_14:Test (Best Model) - Loss: 4.4478 - Accuracy: 0.7381 - F1: 0.7255
sub_14:Test (Best Model) - Loss: 4.2964 - Accuracy: 0.7857 - F1: 0.7776
sub_14:Test (Best Model) - Loss: 5.7605 - Accuracy: 0.8095 - F1: 0.8094
sub_14:Test (Best Model) - Loss: 4.9353 - Accuracy: 0.8214 - F1: 0.8155
sub_14:Test (Best Model) - Loss: 1.0686 - Accuracy: 0.9405 - F1: 0.9404
sub_14:Test (Best Model) - Loss: 1.6278 - Accuracy: 0.8810 - F1: 0.8803
sub_14:Test (Best Model) - Loss: 0.9498 - Accuracy: 0.9405 - F1: 0.9405
sub_14:Test (Best Model) - Loss: 2.1796 - Accuracy: 0.9048 - F1: 0.9045
sub_14:Test (Best Model) - Loss: 3.7932 - Accuracy: 0.8095 - F1: 0.8091
sub_14:Test (Best Model) - Loss: 7.1293 - Accuracy: 0.8333 - F1: 0.8286
sub_14:Test (Best Model) - Loss: 3.5668 - Accuracy: 0.7976 - F1: 0.7890
sub_14:Test (Best Model) - Loss: 2.9194 - Accuracy: 0.8095 - F1: 0.8095
sub_14:Test (Best Model) - Loss: 3.2433 - Accuracy: 0.7976 - F1: 0.7976
sub_14:Test (Best Model) - Loss: 5.1055 - Accuracy: 0.7857 - F1: 0.7796

=== Summary Results ===

acc: 75.76 ± 7.00
F1: 74.73 ± 7.63
acc-in: 84.90 ± 7.61
F1-in: 84.58 ± 7.92
