lr: 0.0001
sub_1:Test (Best Model) - Loss: 0.3449 - Accuracy: 0.5476 - F1: 0.4997
sub_1:Test (Best Model) - Loss: 0.3433 - Accuracy: 0.5238 - F1: 0.5059
sub_1:Test (Best Model) - Loss: 0.3460 - Accuracy: 0.5476 - F1: 0.5143
sub_1:Test (Best Model) - Loss: 0.3449 - Accuracy: 0.5476 - F1: 0.5258
sub_1:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.5238 - F1: 0.4430
sub_1:Test (Best Model) - Loss: 0.3462 - Accuracy: 0.7381 - F1: 0.7188
sub_1:Test (Best Model) - Loss: 0.3319 - Accuracy: 0.7857 - F1: 0.7754
sub_1:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.3445 - Accuracy: 0.6905 - F1: 0.6577
sub_1:Test (Best Model) - Loss: 0.3459 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.3397 - Accuracy: 0.5714 - F1: 0.4987
sub_1:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.3445 - Accuracy: 0.5714 - F1: 0.4750
sub_1:Test (Best Model) - Loss: 0.3427 - Accuracy: 0.5714 - F1: 0.4750
sub_1:Test (Best Model) - Loss: 0.3415 - Accuracy: 0.5714 - F1: 0.4750
sub_2:Test (Best Model) - Loss: 0.1718 - Accuracy: 0.9286 - F1: 0.9285
sub_2:Test (Best Model) - Loss: 0.1765 - Accuracy: 0.9048 - F1: 0.9048
sub_2:Test (Best Model) - Loss: 0.1876 - Accuracy: 0.9286 - F1: 0.9285
sub_2:Test (Best Model) - Loss: 0.2326 - Accuracy: 0.8571 - F1: 0.8558
sub_2:Test (Best Model) - Loss: 0.2796 - Accuracy: 0.9048 - F1: 0.9045
sub_2:Test (Best Model) - Loss: 0.1867 - Accuracy: 0.9286 - F1: 0.9282
sub_2:Test (Best Model) - Loss: 0.2103 - Accuracy: 0.9762 - F1: 0.9762
sub_2:Test (Best Model) - Loss: 0.2830 - Accuracy: 0.8810 - F1: 0.8809
sub_2:Test (Best Model) - Loss: 0.3227 - Accuracy: 0.9286 - F1: 0.9285
sub_2:Test (Best Model) - Loss: 0.0708 - Accuracy: 0.9762 - F1: 0.9762
sub_2:Test (Best Model) - Loss: 0.2712 - Accuracy: 0.9286 - F1: 0.9285
sub_2:Test (Best Model) - Loss: 0.3197 - Accuracy: 0.8333 - F1: 0.8286
sub_2:Test (Best Model) - Loss: 0.2978 - Accuracy: 0.8333 - F1: 0.8309
sub_2:Test (Best Model) - Loss: 0.1978 - Accuracy: 0.8810 - F1: 0.8792
sub_2:Test (Best Model) - Loss: 0.3089 - Accuracy: 0.8571 - F1: 0.8542
sub_3:Test (Best Model) - Loss: 0.3416 - Accuracy: 0.5000 - F1: 0.4632
sub_3:Test (Best Model) - Loss: 0.3255 - Accuracy: 0.6429 - F1: 0.6410
sub_3:Test (Best Model) - Loss: 0.3416 - Accuracy: 0.5476 - F1: 0.5143
sub_3:Test (Best Model) - Loss: 0.3440 - Accuracy: 0.5714 - F1: 0.5675
sub_3:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.5714 - F1: 0.5333
sub_3:Test (Best Model) - Loss: 0.3256 - Accuracy: 0.6429 - F1: 0.6050
sub_3:Test (Best Model) - Loss: 0.2933 - Accuracy: 0.7619 - F1: 0.7569
sub_3:Test (Best Model) - Loss: 0.3357 - Accuracy: 0.6190 - F1: 0.5544
sub_3:Test (Best Model) - Loss: 0.3145 - Accuracy: 0.7381 - F1: 0.7368
sub_3:Test (Best Model) - Loss: 0.3236 - Accuracy: 0.6667 - F1: 0.6466
sub_3:Test (Best Model) - Loss: 0.3355 - Accuracy: 0.6905 - F1: 0.6816
sub_3:Test (Best Model) - Loss: 0.3449 - Accuracy: 0.4762 - F1: 0.3226
sub_3:Test (Best Model) - Loss: 0.2992 - Accuracy: 0.7143 - F1: 0.6971
sub_3:Test (Best Model) - Loss: 0.3153 - Accuracy: 0.6667 - F1: 0.6659
sub_3:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.5000 - F1: 0.4759
sub_4:Test (Best Model) - Loss: 0.3276 - Accuracy: 0.6429 - F1: 0.6410
sub_4:Test (Best Model) - Loss: 0.3303 - Accuracy: 0.8810 - F1: 0.8803
sub_4:Test (Best Model) - Loss: 0.2173 - Accuracy: 0.8810 - F1: 0.8809
sub_4:Test (Best Model) - Loss: 0.2711 - Accuracy: 0.7857 - F1: 0.7796
sub_4:Test (Best Model) - Loss: 0.2885 - Accuracy: 0.7143 - F1: 0.7136
sub_4:Test (Best Model) - Loss: 0.2969 - Accuracy: 0.6905 - F1: 0.6860
sub_4:Test (Best Model) - Loss: 0.2787 - Accuracy: 0.8333 - F1: 0.8332
sub_4:Test (Best Model) - Loss: 0.2287 - Accuracy: 0.8571 - F1: 0.8558
sub_4:Test (Best Model) - Loss: 0.2687 - Accuracy: 0.8571 - F1: 0.8568
sub_4:Test (Best Model) - Loss: 0.3002 - Accuracy: 0.6905 - F1: 0.6677
sub_4:Test (Best Model) - Loss: 0.2871 - Accuracy: 0.7143 - F1: 0.7136
sub_4:Test (Best Model) - Loss: 0.3254 - Accuracy: 0.8095 - F1: 0.8056
sub_4:Test (Best Model) - Loss: 0.3228 - Accuracy: 0.6190 - F1: 0.6156
sub_4:Test (Best Model) - Loss: 0.2895 - Accuracy: 0.7381 - F1: 0.7306
sub_4:Test (Best Model) - Loss: 0.3040 - Accuracy: 0.7381 - F1: 0.7368
sub_5:Test (Best Model) - Loss: 0.3331 - Accuracy: 0.5952 - F1: 0.5654
sub_5:Test (Best Model) - Loss: 0.3819 - Accuracy: 0.4524 - F1: 0.3115
sub_5:Test (Best Model) - Loss: 0.3266 - Accuracy: 0.6429 - F1: 0.6410
sub_5:Test (Best Model) - Loss: 0.3449 - Accuracy: 0.5238 - F1: 0.3842
sub_5:Test (Best Model) - Loss: 0.3452 - Accuracy: 0.5714 - F1: 0.5179
sub_5:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.5238 - F1: 0.5238
sub_5:Test (Best Model) - Loss: 0.3460 - Accuracy: 0.4762 - F1: 0.3583
sub_5:Test (Best Model) - Loss: 0.2951 - Accuracy: 0.7381 - F1: 0.7188
sub_5:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.3448 - Accuracy: 0.6429 - F1: 0.5906
sub_5:Test (Best Model) - Loss: 0.3799 - Accuracy: 0.5714 - F1: 0.5333
sub_5:Test (Best Model) - Loss: 0.2930 - Accuracy: 0.6905 - F1: 0.6816
sub_5:Test (Best Model) - Loss: 0.3212 - Accuracy: 0.6429 - F1: 0.6410
sub_5:Test (Best Model) - Loss: 0.4214 - Accuracy: 0.5476 - F1: 0.4312
sub_5:Test (Best Model) - Loss: 0.3950 - Accuracy: 0.5476 - F1: 0.5143
sub_6:Test (Best Model) - Loss: 0.2866 - Accuracy: 0.7619 - F1: 0.7529
sub_6:Test (Best Model) - Loss: 0.3640 - Accuracy: 0.5476 - F1: 0.5453
sub_6:Test (Best Model) - Loss: 0.3571 - Accuracy: 0.5714 - F1: 0.5333
sub_6:Test (Best Model) - Loss: 0.3396 - Accuracy: 0.5952 - F1: 0.5837
sub_6:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.3468 - Accuracy: 0.4762 - F1: 0.3583
sub_6:Test (Best Model) - Loss: 0.3018 - Accuracy: 0.7381 - F1: 0.7343
sub_6:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.4286 - F1: 0.4167
sub_6:Test (Best Model) - Loss: 0.3089 - Accuracy: 0.6905 - F1: 0.6756
sub_6:Test (Best Model) - Loss: 0.3399 - Accuracy: 0.6190 - F1: 0.6182
sub_6:Test (Best Model) - Loss: 0.3199 - Accuracy: 0.6667 - F1: 0.6659
sub_6:Test (Best Model) - Loss: 0.3451 - Accuracy: 0.5476 - F1: 0.4815
sub_6:Test (Best Model) - Loss: 0.3362 - Accuracy: 0.5952 - F1: 0.5932
sub_6:Test (Best Model) - Loss: 0.2842 - Accuracy: 0.7619 - F1: 0.7619
sub_6:Test (Best Model) - Loss: 0.3461 - Accuracy: 0.6190 - F1: 0.6111
sub_7:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.6667 - F1: 0.6667
sub_7:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.5476 - F1: 0.4312
sub_7:Test (Best Model) - Loss: 0.3392 - Accuracy: 0.6190 - F1: 0.5852
sub_7:Test (Best Model) - Loss: 0.3278 - Accuracy: 0.5952 - F1: 0.5758
sub_7:Test (Best Model) - Loss: 0.3358 - Accuracy: 0.5952 - F1: 0.5932
sub_7:Test (Best Model) - Loss: 0.3229 - Accuracy: 0.6429 - F1: 0.6427
sub_7:Test (Best Model) - Loss: 0.3272 - Accuracy: 0.7143 - F1: 0.7083
sub_7:Test (Best Model) - Loss: 0.3221 - Accuracy: 0.6905 - F1: 0.6756
sub_7:Test (Best Model) - Loss: 0.3386 - Accuracy: 0.5476 - F1: 0.5143
sub_7:Test (Best Model) - Loss: 0.3337 - Accuracy: 0.6190 - F1: 0.6182
sub_7:Test (Best Model) - Loss: 0.2789 - Accuracy: 0.7381 - F1: 0.7379
sub_7:Test (Best Model) - Loss: 0.3040 - Accuracy: 0.6429 - F1: 0.6427
sub_7:Test (Best Model) - Loss: 0.3435 - Accuracy: 0.5952 - F1: 0.5361
sub_7:Test (Best Model) - Loss: 0.3459 - Accuracy: 0.5238 - F1: 0.4815
sub_7:Test (Best Model) - Loss: 0.3442 - Accuracy: 0.5952 - F1: 0.5932
sub_8:Test (Best Model) - Loss: 0.3041 - Accuracy: 0.8571 - F1: 0.8542
sub_8:Test (Best Model) - Loss: 0.2900 - Accuracy: 0.7143 - F1: 0.6889
sub_8:Test (Best Model) - Loss: 0.2526 - Accuracy: 0.8810 - F1: 0.8803
sub_8:Test (Best Model) - Loss: 0.3371 - Accuracy: 0.8095 - F1: 0.8056
sub_8:Test (Best Model) - Loss: 0.2120 - Accuracy: 0.9048 - F1: 0.9045
sub_8:Test (Best Model) - Loss: 0.2459 - Accuracy: 0.8095 - F1: 0.8056
sub_8:Test (Best Model) - Loss: 0.2624 - Accuracy: 0.8095 - F1: 0.8024
sub_8:Test (Best Model) - Loss: 0.2640 - Accuracy: 0.7619 - F1: 0.7614
sub_8:Test (Best Model) - Loss: 0.3165 - Accuracy: 0.8571 - F1: 0.8542
sub_8:Test (Best Model) - Loss: 0.2824 - Accuracy: 0.8095 - F1: 0.8095
sub_8:Test (Best Model) - Loss: 0.3416 - Accuracy: 0.8571 - F1: 0.8542
sub_8:Test (Best Model) - Loss: 0.2105 - Accuracy: 0.9048 - F1: 0.9039
sub_8:Test (Best Model) - Loss: 0.2814 - Accuracy: 0.8095 - F1: 0.8056
sub_8:Test (Best Model) - Loss: 0.2472 - Accuracy: 0.8571 - F1: 0.8542
sub_8:Test (Best Model) - Loss: 0.3447 - Accuracy: 0.9762 - F1: 0.9762
sub_9:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.5476 - F1: 0.4312
sub_9:Test (Best Model) - Loss: 0.3372 - Accuracy: 0.5952 - F1: 0.5159
sub_9:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.6190 - F1: 0.6047
sub_9:Test (Best Model) - Loss: 0.3451 - 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: 0.3369 - Accuracy: 0.6429 - F1: 0.6427
sub_9:Test (Best Model) - Loss: 0.3432 - Accuracy: 0.5238 - F1: 0.5139
sub_9:Test (Best Model) - Loss: 0.3448 - Accuracy: 0.5952 - F1: 0.5654
sub_9:Test (Best Model) - Loss: 0.3559 - Accuracy: 0.5714 - F1: 0.5457
sub_9:Test (Best Model) - Loss: 0.3468 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.6190 - F1: 0.6047
sub_9:Test (Best Model) - Loss: 0.4082 - Accuracy: 0.5952 - F1: 0.5524
sub_9:Test (Best Model) - Loss: 0.2341 - Accuracy: 0.8333 - F1: 0.8286
sub_9:Test (Best Model) - Loss: 0.3448 - Accuracy: 0.7143 - F1: 0.7117
sub_9:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.3458 - Accuracy: 0.6667 - F1: 0.6636
sub_10:Test (Best Model) - Loss: 0.3389 - Accuracy: 0.7381 - F1: 0.7255
sub_10:Test (Best Model) - Loss: 0.2363 - Accuracy: 0.8095 - F1: 0.8095
sub_10:Test (Best Model) - Loss: 0.4113 - Accuracy: 0.5952 - F1: 0.5159
sub_10:Test (Best Model) - Loss: 0.3254 - Accuracy: 0.6429 - F1: 0.6050
sub_10:Test (Best Model) - Loss: 0.3466 - Accuracy: 0.6190 - F1: 0.6182
sub_10:Test (Best Model) - Loss: 0.3459 - Accuracy: 0.5238 - F1: 0.4952
sub_10:Test (Best Model) - Loss: 0.3487 - Accuracy: 0.4762 - F1: 0.3583
sub_10:Test (Best Model) - Loss: 0.2887 - Accuracy: 0.7143 - F1: 0.7035
sub_10:Test (Best Model) - Loss: 0.3242 - Accuracy: 0.6429 - F1: 0.6410
sub_10:Test (Best Model) - Loss: 0.3200 - Accuracy: 0.6190 - F1: 0.6047
sub_10:Test (Best Model) - Loss: 0.3147 - Accuracy: 0.6905 - F1: 0.6677
sub_10:Test (Best Model) - Loss: 0.3430 - Accuracy: 0.5476 - F1: 0.4312
sub_10:Test (Best Model) - Loss: 0.2653 - Accuracy: 0.7619 - F1: 0.7569
sub_10:Test (Best Model) - Loss: 0.3140 - Accuracy: 0.6667 - F1: 0.6466
sub_11:Test (Best Model) - Loss: 0.2724 - Accuracy: 0.7381 - F1: 0.7343
sub_11:Test (Best Model) - Loss: 0.1784 - Accuracy: 0.8810 - F1: 0.8809
sub_11:Test (Best Model) - Loss: 0.2444 - Accuracy: 0.8095 - F1: 0.8056
sub_11:Test (Best Model) - Loss: 0.3241 - Accuracy: 0.7619 - F1: 0.7569
sub_11:Test (Best Model) - Loss: 0.3063 - Accuracy: 0.6905 - F1: 0.6860
sub_11:Test (Best Model) - Loss: 0.3405 - Accuracy: 0.7143 - F1: 0.6971
sub_11:Test (Best Model) - Loss: 0.3171 - Accuracy: 0.6667 - F1: 0.6636
sub_11:Test (Best Model) - Loss: 0.3461 - Accuracy: 0.5714 - F1: 0.5714
sub_11:Test (Best Model) - Loss: 0.3704 - Accuracy: 0.5238 - F1: 0.4815
sub_11:Test (Best Model) - Loss: 0.3363 - Accuracy: 0.6190 - F1: 0.6190
sub_11:Test (Best Model) - Loss: 0.2470 - Accuracy: 0.8571 - F1: 0.8558
sub_11:Test (Best Model) - Loss: 0.2913 - Accuracy: 0.9048 - F1: 0.9039
sub_11:Test (Best Model) - Loss: 0.2494 - Accuracy: 0.8333 - F1: 0.8325
sub_11:Test (Best Model) - Loss: 0.2899 - Accuracy: 0.7619 - F1: 0.7476
sub_11:Test (Best Model) - Loss: 0.3464 - 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: 0.3485 - Accuracy: 0.4524 - F1: 0.3115
sub_12:Test (Best Model) - Loss: 0.3436 - Accuracy: 0.5476 - F1: 0.5347
sub_12:Test (Best Model) - Loss: 0.3594 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.3504 - Accuracy: 0.5238 - F1: 0.4430
sub_12:Test (Best Model) - Loss: 0.3577 - Accuracy: 0.5238 - F1: 0.4952
sub_12:Test (Best Model) - Loss: 0.3391 - Accuracy: 0.5952 - F1: 0.5837
sub_12:Test (Best Model) - Loss: 0.3539 - Accuracy: 0.4524 - F1: 0.3944
sub_12:Test (Best Model) - Loss: 0.3340 - Accuracy: 0.5952 - F1: 0.5950
sub_12:Test (Best Model) - Loss: 0.3467 - 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: 0.3220 - Accuracy: 0.7381 - F1: 0.7343
sub_12:Test (Best Model) - Loss: 0.3337 - Accuracy: 0.6429 - F1: 0.5906
sub_12:Test (Best Model) - Loss: 0.3426 - Accuracy: 0.5714 - F1: 0.5457
sub_12:Test (Best Model) - Loss: 0.3476 - Accuracy: 0.5476 - F1: 0.4312
sub_13:Test (Best Model) - Loss: 0.3421 - Accuracy: 0.5952 - F1: 0.5159
sub_13:Test (Best Model) - Loss: 0.3463 - Accuracy: 0.6667 - F1: 0.6541
sub_13:Test (Best Model) - Loss: 0.3449 - Accuracy: 0.5714 - F1: 0.5333
sub_13:Test (Best Model) - Loss: 0.2946 - Accuracy: 0.7381 - F1: 0.7379
sub_13:Test (Best Model) - Loss: 0.2704 - Accuracy: 0.8095 - F1: 0.8091
sub_13:Test (Best Model) - Loss: 0.3324 - Accuracy: 0.7619 - F1: 0.7529
sub_13:Test (Best Model) - Loss: 0.3455 - Accuracy: 0.7857 - F1: 0.7846
sub_13:Test (Best Model) - Loss: 0.3015 - Accuracy: 0.7143 - F1: 0.6889
sub_13:Test (Best Model) - Loss: 0.2980 - Accuracy: 0.8095 - F1: 0.8091
sub_13:Test (Best Model) - Loss: 0.3443 - Accuracy: 0.7143 - F1: 0.6889
sub_13:Test (Best Model) - Loss: 0.3453 - Accuracy: 0.7857 - F1: 0.7826
sub_13:Test (Best Model) - Loss: 0.2833 - Accuracy: 0.7619 - F1: 0.7569
sub_13:Test (Best Model) - Loss: 0.3401 - Accuracy: 0.7619 - F1: 0.7569
sub_13:Test (Best Model) - Loss: 0.3231 - Accuracy: 0.7619 - F1: 0.7597
sub_13:Test (Best Model) - Loss: 0.3420 - Accuracy: 0.7381 - F1: 0.7188
sub_14:Test (Best Model) - Loss: 0.4018 - Accuracy: 0.5476 - F1: 0.5258
sub_14:Test (Best Model) - Loss: 0.3440 - Accuracy: 0.6190 - F1: 0.6156
sub_14:Test (Best Model) - Loss: 0.2897 - Accuracy: 0.8333 - F1: 0.8309
sub_14:Test (Best Model) - Loss: 0.3159 - Accuracy: 0.7143 - F1: 0.7083
sub_14:Test (Best Model) - Loss: 0.3159 - Accuracy: 0.7857 - F1: 0.7796
sub_14:Test (Best Model) - Loss: 0.3356 - Accuracy: 0.8095 - F1: 0.8024
sub_14:Test (Best Model) - Loss: 0.3126 - Accuracy: 0.7143 - F1: 0.6971
sub_14:Test (Best Model) - Loss: 0.3046 - Accuracy: 0.7857 - F1: 0.7826
sub_14:Test (Best Model) - Loss: 0.2078 - Accuracy: 0.9048 - F1: 0.9045
sub_14:Test (Best Model) - Loss: 0.2419 - Accuracy: 0.8095 - F1: 0.8024
sub_14:Test (Best Model) - Loss: 0.3390 - Accuracy: 0.6667 - F1: 0.6636
sub_14:Test (Best Model) - Loss: 0.3267 - Accuracy: 0.8333 - F1: 0.8309
sub_14:Test (Best Model) - Loss: 0.3381 - Accuracy: 0.7381 - F1: 0.7306
sub_14:Test (Best Model) - Loss: 0.2187 - Accuracy: 0.8333 - F1: 0.8309
sub_14:Test (Best Model) - Loss: 0.2697 - Accuracy: 0.8571 - F1: 0.8558

=== Summary Results ===

acc:   67.98 ± 10.48
F1:    64.81 ± 12.84
acc-in:76.74 ± 9.58
F1-in: 74.46 ± 11.44
