lr: 0.001
sub_1:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.5000 - F1: 0.3713
sub_1:Test (Best Model) - Loss: 0.3468 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.3458 - Accuracy: 0.5000 - F1: 0.4269
sub_1:Test (Best Model) - Loss: 0.3472 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.3522 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.3535 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.3468 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.3470 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.3473 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.3510 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.3320 - Accuracy: 0.5952 - F1: 0.5524
sub_1:Test (Best Model) - Loss: 0.3510 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.3432 - Accuracy: 0.5714 - F1: 0.4987
sub_1:Test (Best Model) - Loss: 0.3470 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.3506 - Accuracy: 0.5000 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 0.3368 - Accuracy: 0.6667 - F1: 0.6370
sub_2:Test (Best Model) - Loss: 0.2343 - Accuracy: 0.7857 - F1: 0.7754
sub_2:Test (Best Model) - Loss: 0.3487 - Accuracy: 0.5000 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 0.2159 - Accuracy: 0.8810 - F1: 0.8792
sub_2:Test (Best Model) - Loss: 0.1013 - Accuracy: 0.9524 - F1: 0.9523
sub_2:Test (Best Model) - Loss: 0.3508 - Accuracy: 0.5000 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 0.3420 - Accuracy: 0.8810 - F1: 0.8803
sub_2:Test (Best Model) - Loss: 0.0988 - Accuracy: 0.9762 - F1: 0.9762
sub_2:Test (Best Model) - Loss: 0.2567 - Accuracy: 0.9524 - F1: 0.9524
sub_2:Test (Best Model) - Loss: 0.1642 - Accuracy: 0.9762 - F1: 0.9762
sub_2:Test (Best Model) - Loss: 0.2233 - Accuracy: 0.8810 - F1: 0.8792
sub_2:Test (Best Model) - Loss: 0.2182 - Accuracy: 0.8571 - F1: 0.8542
sub_2:Test (Best Model) - Loss: 0.2258 - Accuracy: 0.8571 - F1: 0.8542
sub_2:Test (Best Model) - Loss: 0.1890 - Accuracy: 0.8810 - F1: 0.8803
sub_2:Test (Best Model) - Loss: 0.2160 - Accuracy: 0.8571 - F1: 0.8558
sub_3:Test (Best Model) - Loss: 0.3437 - Accuracy: 0.5476 - F1: 0.4312
sub_3:Test (Best Model) - Loss: 0.3492 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.3514 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.3508 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.3501 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.3517 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.3522 - Accuracy: 0.5238 - F1: 0.3842
sub_3:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.5000 - F1: 0.4020
sub_3:Test (Best Model) - Loss: 0.3486 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.3501 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.3472 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.3470 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.3493 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.3520 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.2331 - Accuracy: 0.9286 - F1: 0.9285
sub_4:Test (Best Model) - Loss: 0.3474 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.3007 - Accuracy: 0.7143 - F1: 0.7117
sub_4:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.4762 - F1: 0.3226
sub_4:Test (Best Model) - Loss: 0.3491 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.3200 - Accuracy: 0.7619 - F1: 0.7597
sub_4:Test (Best Model) - Loss: 0.2401 - Accuracy: 0.8095 - F1: 0.8095
sub_4:Test (Best Model) - Loss: 0.3504 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.3491 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.3475 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.3057 - Accuracy: 0.8095 - F1: 0.8056
sub_4:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.3475 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.3477 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.3434 - Accuracy: 0.7857 - F1: 0.7796
sub_5:Test (Best Model) - Loss: 0.3448 - Accuracy: 0.5714 - F1: 0.4987
sub_5:Test (Best Model) - Loss: 0.3511 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.3429 - Accuracy: 0.6667 - F1: 0.6370
sub_5:Test (Best Model) - Loss: 0.3471 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.3045 - Accuracy: 0.7381 - F1: 0.7343
sub_5:Test (Best Model) - Loss: 0.3471 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.3517 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.3493 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.3507 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.3472 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.4762 - F1: 0.3583
sub_5:Test (Best Model) - Loss: 0.4017 - Accuracy: 0.6667 - F1: 0.6636
sub_6:Test (Best Model) - Loss: 0.2846 - Accuracy: 0.6905 - F1: 0.6677
sub_6:Test (Best Model) - Loss: 0.3515 - Accuracy: 0.5238 - F1: 0.3842
sub_6:Test (Best Model) - Loss: 0.3492 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.3475 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.3515 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.3482 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.5000 - F1: 0.4020
sub_6:Test (Best Model) - Loss: 0.3481 - Accuracy: 0.5238 - F1: 0.4430
sub_6:Test (Best Model) - Loss: 0.3454 - Accuracy: 0.5476 - F1: 0.4590
sub_6:Test (Best Model) - Loss: 0.3515 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.3538 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.5238 - F1: 0.3842
sub_6:Test (Best Model) - Loss: 0.3506 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.3461 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.3085 - Accuracy: 0.6905 - F1: 0.6903
sub_7:Test (Best Model) - Loss: 0.3469 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.3467 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.7143 - F1: 0.7117
sub_7:Test (Best Model) - Loss: 0.3514 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.3476 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.3549 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.3471 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.3475 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.3524 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.3317 - Accuracy: 0.5952 - F1: 0.5758
sub_7:Test (Best Model) - Loss: 0.3460 - Accuracy: 0.5714 - F1: 0.5625
sub_7:Test (Best Model) - Loss: 0.3473 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.3473 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.3527 - Accuracy: 0.5000 - F1: 0.3333
sub_8:Test (Best Model) - Loss: 0.3697 - Accuracy: 0.5000 - F1: 0.3333
sub_8:Test (Best Model) - Loss: 0.3503 - Accuracy: 0.5000 - F1: 0.3333
sub_8:Test (Best Model) - Loss: 0.3475 - Accuracy: 0.5000 - F1: 0.3333
sub_8:Test (Best Model) - Loss: 0.3426 - Accuracy: 0.7619 - F1: 0.7597
sub_8:Test (Best Model) - Loss: 0.3526 - Accuracy: 0.5000 - F1: 0.3333
sub_8:Test (Best Model) - Loss: 0.3469 - Accuracy: 0.5714 - F1: 0.4750
sub_8:Test (Best Model) - Loss: 0.3144 - Accuracy: 0.8333 - F1: 0.8325
sub_8:Test (Best Model) - Loss: 0.3461 - Accuracy: 0.5000 - F1: 0.3333
sub_8:Test (Best Model) - Loss: 0.3490 - Accuracy: 0.5000 - F1: 0.3333
sub_8:Test (Best Model) - Loss: 0.2814 - Accuracy: 0.7857 - F1: 0.7826
sub_8:Test (Best Model) - Loss: 0.0669 - Accuracy: 0.9524 - F1: 0.9523
sub_8:Test (Best Model) - Loss: 0.3047 - Accuracy: 0.6429 - F1: 0.6166
sub_8:Test (Best Model) - Loss: 0.1214 - Accuracy: 0.9524 - F1: 0.9523
sub_8:Test (Best Model) - Loss: 0.3519 - Accuracy: 0.6905 - F1: 0.6677
sub_8:Test (Best Model) - Loss: 0.2684 - Accuracy: 0.8333 - F1: 0.8286
sub_9:Test (Best Model) - Loss: 0.3474 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.3477 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.3471 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.3475 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.3507 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.3488 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.3537 - Accuracy: 0.4762 - F1: 0.3583
sub_9:Test (Best Model) - Loss: 0.3475 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.3503 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.3498 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.3477 - Accuracy: 0.5238 - F1: 0.5195
sub_9:Test (Best Model) - Loss: 0.3483 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.3494 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.3523 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.3538 - Accuracy: 0.4762 - F1: 0.4296
sub_10:Test (Best Model) - Loss: 0.3483 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.3413 - Accuracy: 0.5714 - F1: 0.5553
sub_10:Test (Best Model) - Loss: 0.3464 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.3508 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.3781 - Accuracy: 0.6190 - F1: 0.5852
sub_10:Test (Best Model) - Loss: 0.3490 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.3470 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.3424 - Accuracy: 0.5714 - F1: 0.5457
sub_10:Test (Best Model) - Loss: 0.3886 - Accuracy: 0.5238 - F1: 0.4430
sub_10:Test (Best Model) - Loss: 0.3502 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.3526 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.3494 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.3427 - Accuracy: 0.5714 - F1: 0.4750
sub_10:Test (Best Model) - Loss: 0.3492 - Accuracy: 0.5000 - F1: 0.3333
sub_11:Test (Best Model) - Loss: 0.3371 - Accuracy: 0.6190 - F1: 0.5544
sub_11:Test (Best Model) - Loss: 0.3420 - Accuracy: 0.5238 - F1: 0.3842
sub_11:Test (Best Model) - Loss: 0.3478 - Accuracy: 0.5000 - F1: 0.3333
sub_11:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.5000 - F1: 0.3333
sub_11:Test (Best Model) - Loss: 0.3536 - Accuracy: 0.6905 - F1: 0.6903
sub_11:Test (Best Model) - Loss: 0.3265 - Accuracy: 0.6429 - F1: 0.5906
sub_11:Test (Best Model) - Loss: 0.3529 - Accuracy: 0.5000 - F1: 0.3333
sub_11:Test (Best Model) - Loss: 0.3339 - Accuracy: 0.5952 - F1: 0.5894
sub_11:Test (Best Model) - Loss: 0.3518 - Accuracy: 0.5000 - F1: 0.3333
sub_11:Test (Best Model) - Loss: 0.3596 - Accuracy: 0.4762 - F1: 0.4296
sub_11:Test (Best Model) - Loss: 0.3502 - Accuracy: 0.5000 - F1: 0.3333
sub_11:Test (Best Model) - Loss: 0.2547 - Accuracy: 0.8095 - F1: 0.8056
sub_11:Test (Best Model) - Loss: 0.3480 - Accuracy: 0.5000 - F1: 0.3333
sub_11:Test (Best Model) - Loss: 0.3398 - Accuracy: 0.7619 - F1: 0.7569
sub_11:Test (Best Model) - Loss: 0.3515 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.3469 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.3511 - Accuracy: 0.4524 - F1: 0.3115
sub_12:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.3468 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.3511 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.3540 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.3478 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.3450 - Accuracy: 0.5476 - F1: 0.4997
sub_12:Test (Best Model) - Loss: 0.3493 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.3469 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.3616 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.3993 - Accuracy: 0.3333 - F1: 0.3318
sub_12:Test (Best Model) - Loss: 0.3474 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.3510 - Accuracy: 0.5000 - F1: 0.3333
sub_13:Test (Best Model) - Loss: 0.3423 - Accuracy: 0.5714 - F1: 0.4750
sub_13:Test (Best Model) - Loss: 0.3458 - Accuracy: 0.6429 - F1: 0.6050
sub_13:Test (Best Model) - Loss: 0.3489 - Accuracy: 0.5000 - F1: 0.3333
sub_13:Test (Best Model) - Loss: 0.3518 - Accuracy: 0.5000 - F1: 0.3333
sub_13:Test (Best Model) - Loss: 0.3497 - Accuracy: 0.5000 - F1: 0.3333
sub_13:Test (Best Model) - Loss: 0.3489 - Accuracy: 0.5000 - F1: 0.3333
sub_13:Test (Best Model) - Loss: 0.2802 - Accuracy: 0.7619 - F1: 0.7619
sub_13:Test (Best Model) - Loss: 0.2779 - Accuracy: 0.8333 - F1: 0.8309
sub_13:Test (Best Model) - Loss: 0.3417 - Accuracy: 0.7857 - F1: 0.7754
sub_13:Test (Best Model) - Loss: 0.3478 - Accuracy: 0.5000 - F1: 0.3333
sub_13:Test (Best Model) - Loss: 0.3483 - Accuracy: 0.5000 - F1: 0.3333
sub_13:Test (Best Model) - Loss: 0.3482 - Accuracy: 0.5000 - F1: 0.3333
sub_13:Test (Best Model) - Loss: 0.2881 - Accuracy: 0.7619 - F1: 0.7597
sub_13:Test (Best Model) - Loss: 0.3471 - Accuracy: 0.5000 - F1: 0.3333
sub_13:Test (Best Model) - Loss: 0.3456 - Accuracy: 0.5000 - F1: 0.3333
sub_14:Test (Best Model) - Loss: 0.3494 - Accuracy: 0.5000 - F1: 0.3333
sub_14:Test (Best Model) - Loss: 0.3491 - Accuracy: 0.5000 - F1: 0.3333
sub_14:Test (Best Model) - Loss: 0.3278 - Accuracy: 0.7857 - F1: 0.7826
sub_14:Test (Best Model) - Loss: 0.3638 - Accuracy: 0.5476 - F1: 0.4815
sub_14:Test (Best Model) - Loss: 0.3508 - Accuracy: 0.5000 - F1: 0.3333
sub_14:Test (Best Model) - Loss: 0.3504 - Accuracy: 0.5000 - F1: 0.3333
sub_14:Test (Best Model) - Loss: 0.2322 - Accuracy: 0.8095 - F1: 0.8091
sub_14:Test (Best Model) - Loss: 0.3081 - Accuracy: 0.8333 - F1: 0.8325
sub_14:Test (Best Model) - Loss: 0.2042 - Accuracy: 0.9048 - F1: 0.9039
sub_14:Test (Best Model) - Loss: 0.3361 - Accuracy: 0.5714 - F1: 0.5179
sub_14:Test (Best Model) - Loss: 0.3493 - Accuracy: 0.3810 - F1: 0.3576
sub_14:Test (Best Model) - Loss: 0.3520 - Accuracy: 0.5000 - F1: 0.3333
sub_14:Test (Best Model) - Loss: 0.3032 - Accuracy: 0.6667 - F1: 0.6466
sub_14:Test (Best Model) - Loss: 0.3343 - Accuracy: 0.7857 - F1: 0.7846
sub_14:Test (Best Model) - Loss: 0.3151 - Accuracy: 0.7143 - F1: 0.7143

=== Summary Results ===

acc:   57.43 ± 8.69
F1:    46.10 ± 12.11
acc-in:62.22 ± 9.70
F1-in: 50.35 ± 13.45
