lr: 0.0001
sub_1:Test (Best Model) - Loss: 6.4504 - Accuracy: 0.3048 - F1: 0.2398
sub_1:Test (Best Model) - Loss: 6.1198 - Accuracy: 0.2905 - F1: 0.2261
sub_1:Test (Best Model) - Loss: 5.6267 - Accuracy: 0.3143 - F1: 0.2594
sub_1:Test (Best Model) - Loss: 4.8557 - Accuracy: 0.2810 - F1: 0.2093
sub_1:Test (Best Model) - Loss: 5.7493 - Accuracy: 0.2810 - F1: 0.2103
sub_1:Test (Best Model) - Loss: 3.7839 - Accuracy: 0.2762 - F1: 0.2861
sub_1:Test (Best Model) - Loss: 3.1197 - Accuracy: 0.2810 - F1: 0.2793
sub_1:Test (Best Model) - Loss: 3.2046 - Accuracy: 0.3000 - F1: 0.3056
sub_1:Test (Best Model) - Loss: 2.8971 - Accuracy: 0.3476 - F1: 0.3525
sub_1:Test (Best Model) - Loss: 3.3360 - Accuracy: 0.2524 - F1: 0.2562
sub_1:Test (Best Model) - Loss: 3.2907 - Accuracy: 0.2762 - F1: 0.2785
sub_1:Test (Best Model) - Loss: 3.4694 - Accuracy: 0.2905 - F1: 0.2932
sub_1:Test (Best Model) - Loss: 2.9885 - Accuracy: 0.2905 - F1: 0.2964
sub_1:Test (Best Model) - Loss: 2.8303 - Accuracy: 0.3238 - F1: 0.3324
sub_1:Test (Best Model) - Loss: 2.8599 - Accuracy: 0.3238 - F1: 0.3246
sub_2:Test (Best Model) - Loss: 3.0899 - Accuracy: 0.3571 - F1: 0.2682
sub_2:Test (Best Model) - Loss: 3.0683 - Accuracy: 0.3524 - F1: 0.2765
sub_2:Test (Best Model) - Loss: 3.2646 - Accuracy: 0.3333 - F1: 0.2456
sub_2:Test (Best Model) - Loss: 3.2176 - Accuracy: 0.3524 - F1: 0.2563
sub_2:Test (Best Model) - Loss: 3.5838 - Accuracy: 0.2905 - F1: 0.2046
sub_2:Test (Best Model) - Loss: 2.7379 - Accuracy: 0.3238 - F1: 0.3446
sub_2:Test (Best Model) - Loss: 2.6860 - Accuracy: 0.3667 - F1: 0.3818
sub_2:Test (Best Model) - Loss: 2.5475 - Accuracy: 0.3762 - F1: 0.3892
sub_2:Test (Best Model) - Loss: 2.8366 - Accuracy: 0.3381 - F1: 0.3429
sub_2:Test (Best Model) - Loss: 2.6757 - Accuracy: 0.3333 - F1: 0.3465
sub_2:Test (Best Model) - Loss: 2.4542 - Accuracy: 0.3143 - F1: 0.3177
sub_2:Test (Best Model) - Loss: 2.7516 - Accuracy: 0.3714 - F1: 0.3805
sub_2:Test (Best Model) - Loss: 2.6970 - Accuracy: 0.2952 - F1: 0.3096
sub_2:Test (Best Model) - Loss: 2.9582 - Accuracy: 0.3143 - F1: 0.3273
sub_2:Test (Best Model) - Loss: 2.5536 - Accuracy: 0.3524 - F1: 0.3656
sub_3:Test (Best Model) - Loss: 3.7894 - Accuracy: 0.2524 - F1: 0.2070
sub_3:Test (Best Model) - Loss: 4.2787 - Accuracy: 0.2524 - F1: 0.1765
sub_3:Test (Best Model) - Loss: 3.6193 - Accuracy: 0.2571 - F1: 0.1888
sub_3:Test (Best Model) - Loss: 4.1369 - Accuracy: 0.2524 - F1: 0.1987
sub_3:Test (Best Model) - Loss: 6.3039 - Accuracy: 0.2190 - F1: 0.1065
sub_3:Test (Best Model) - Loss: 3.3526 - Accuracy: 0.2762 - F1: 0.2711
sub_3:Test (Best Model) - Loss: 3.5199 - Accuracy: 0.2762 - F1: 0.2830
sub_3:Test (Best Model) - Loss: 3.7175 - Accuracy: 0.2667 - F1: 0.2560
sub_3:Test (Best Model) - Loss: 3.2521 - Accuracy: 0.3095 - F1: 0.3070
sub_3:Test (Best Model) - Loss: 3.2667 - Accuracy: 0.3095 - F1: 0.3056
sub_3:Test (Best Model) - Loss: 3.7793 - Accuracy: 0.2762 - F1: 0.2800
sub_3:Test (Best Model) - Loss: 3.9027 - Accuracy: 0.2476 - F1: 0.2361
sub_3:Test (Best Model) - Loss: 3.7780 - Accuracy: 0.3095 - F1: 0.3057
sub_3:Test (Best Model) - Loss: 3.5469 - Accuracy: 0.3238 - F1: 0.3356
sub_3:Test (Best Model) - Loss: 4.0074 - Accuracy: 0.2524 - F1: 0.2498
sub_4:Test (Best Model) - Loss: 2.9591 - Accuracy: 0.3190 - F1: 0.3131
sub_4:Test (Best Model) - Loss: 2.9114 - Accuracy: 0.2762 - F1: 0.2764
sub_4:Test (Best Model) - Loss: 3.0424 - Accuracy: 0.3286 - F1: 0.3265
sub_4:Test (Best Model) - Loss: 2.7478 - Accuracy: 0.2952 - F1: 0.2910
sub_4:Test (Best Model) - Loss: 2.7460 - Accuracy: 0.2857 - F1: 0.2872
sub_4:Test (Best Model) - Loss: 3.4238 - Accuracy: 0.3143 - F1: 0.3036
sub_4:Test (Best Model) - Loss: 3.2750 - Accuracy: 0.3333 - F1: 0.3188
sub_4:Test (Best Model) - Loss: 3.6562 - Accuracy: 0.2810 - F1: 0.2666
sub_4:Test (Best Model) - Loss: 3.0439 - Accuracy: 0.2905 - F1: 0.2787
sub_4:Test (Best Model) - Loss: 3.1172 - Accuracy: 0.2905 - F1: 0.2926
sub_4:Test (Best Model) - Loss: 2.7246 - Accuracy: 0.3952 - F1: 0.3575
sub_4:Test (Best Model) - Loss: 2.6527 - Accuracy: 0.4095 - F1: 0.3685
sub_4:Test (Best Model) - Loss: 2.7766 - Accuracy: 0.3667 - F1: 0.3110
sub_4:Test (Best Model) - Loss: 2.5886 - Accuracy: 0.4143 - F1: 0.3974
sub_4:Test (Best Model) - Loss: 2.5487 - Accuracy: 0.4000 - F1: 0.3739
sub_5:Test (Best Model) - Loss: 5.2032 - Accuracy: 0.3381 - F1: 0.2758
sub_5:Test (Best Model) - Loss: 4.5924 - Accuracy: 0.3667 - F1: 0.3020
sub_5:Test (Best Model) - Loss: 4.3440 - Accuracy: 0.3714 - F1: 0.2939
sub_5:Test (Best Model) - Loss: 5.4290 - Accuracy: 0.3381 - F1: 0.2533
sub_5:Test (Best Model) - Loss: 4.9762 - Accuracy: 0.3476 - F1: 0.2727
sub_5:Test (Best Model) - Loss: 2.6129 - Accuracy: 0.3905 - F1: 0.3902
sub_5:Test (Best Model) - Loss: 2.9905 - Accuracy: 0.3810 - F1: 0.3792
sub_5:Test (Best Model) - Loss: 2.7072 - Accuracy: 0.4143 - F1: 0.4175
sub_5:Test (Best Model) - Loss: 2.6262 - Accuracy: 0.4048 - F1: 0.4130
sub_5:Test (Best Model) - Loss: 3.2924 - Accuracy: 0.3381 - F1: 0.3381
sub_5:Test (Best Model) - Loss: 3.1414 - Accuracy: 0.2810 - F1: 0.3008
sub_5:Test (Best Model) - Loss: 2.6923 - Accuracy: 0.3429 - F1: 0.3513
sub_5:Test (Best Model) - Loss: 2.8598 - Accuracy: 0.3619 - F1: 0.3704
sub_5:Test (Best Model) - Loss: 3.0500 - Accuracy: 0.3143 - F1: 0.3298
sub_5:Test (Best Model) - Loss: 2.5691 - Accuracy: 0.3429 - F1: 0.3546
sub_6:Test (Best Model) - Loss: 3.6570 - Accuracy: 0.2619 - F1: 0.2567
sub_6:Test (Best Model) - Loss: 3.4294 - Accuracy: 0.2524 - F1: 0.2571
sub_6:Test (Best Model) - Loss: 3.4080 - Accuracy: 0.1810 - F1: 0.1826
sub_6:Test (Best Model) - Loss: 3.4167 - Accuracy: 0.2857 - F1: 0.2784
sub_6:Test (Best Model) - Loss: 3.1482 - Accuracy: 0.2619 - F1: 0.2390
sub_6:Test (Best Model) - Loss: 3.1845 - Accuracy: 0.2762 - F1: 0.2714
sub_6:Test (Best Model) - Loss: 2.7620 - Accuracy: 0.3143 - F1: 0.3078
sub_6:Test (Best Model) - Loss: 2.5990 - Accuracy: 0.3238 - F1: 0.3017
sub_6:Test (Best Model) - Loss: 2.8444 - Accuracy: 0.2714 - F1: 0.2541
sub_6:Test (Best Model) - Loss: 2.8125 - Accuracy: 0.2810 - F1: 0.2688
sub_6:Test (Best Model) - Loss: 2.8434 - Accuracy: 0.2905 - F1: 0.2746
sub_6:Test (Best Model) - Loss: 2.8387 - Accuracy: 0.2667 - F1: 0.2627
sub_6:Test (Best Model) - Loss: 2.5078 - Accuracy: 0.3476 - F1: 0.3382
sub_6:Test (Best Model) - Loss: 2.6336 - Accuracy: 0.2952 - F1: 0.2915
sub_6:Test (Best Model) - Loss: 2.7407 - Accuracy: 0.3190 - F1: 0.3203
sub_7:Test (Best Model) - Loss: 4.2176 - Accuracy: 0.2333 - F1: 0.2135
sub_7:Test (Best Model) - Loss: 3.9026 - Accuracy: 0.2714 - F1: 0.2352
sub_7:Test (Best Model) - Loss: 3.7064 - Accuracy: 0.2619 - F1: 0.2301
sub_7:Test (Best Model) - Loss: 3.7836 - Accuracy: 0.2810 - F1: 0.2475
sub_7:Test (Best Model) - Loss: 3.7172 - Accuracy: 0.2571 - F1: 0.2190
sub_7:Test (Best Model) - Loss: 3.5482 - Accuracy: 0.2333 - F1: 0.2397
sub_7:Test (Best Model) - Loss: 3.3648 - Accuracy: 0.2333 - F1: 0.2321
sub_7:Test (Best Model) - Loss: 3.5090 - Accuracy: 0.2095 - F1: 0.2084
sub_7:Test (Best Model) - Loss: 3.7700 - Accuracy: 0.2333 - F1: 0.2460
sub_7:Test (Best Model) - Loss: 3.0208 - Accuracy: 0.2095 - F1: 0.2051
sub_7:Test (Best Model) - Loss: 3.4077 - Accuracy: 0.2238 - F1: 0.2233
sub_7:Test (Best Model) - Loss: 3.0901 - Accuracy: 0.2238 - F1: 0.2198
sub_7:Test (Best Model) - Loss: 3.2028 - Accuracy: 0.2524 - F1: 0.2490
sub_7:Test (Best Model) - Loss: 3.3796 - Accuracy: 0.2143 - F1: 0.2108
sub_7:Test (Best Model) - Loss: 2.8629 - Accuracy: 0.2476 - F1: 0.2489
sub_8:Test (Best Model) - Loss: 3.5752 - Accuracy: 0.3571 - F1: 0.3259
sub_8:Test (Best Model) - Loss: 3.4538 - Accuracy: 0.3667 - F1: 0.3442
sub_8:Test (Best Model) - Loss: 3.3139 - Accuracy: 0.3952 - F1: 0.3643
sub_8:Test (Best Model) - Loss: 3.7279 - Accuracy: 0.3524 - F1: 0.3283
sub_8:Test (Best Model) - Loss: 3.7395 - Accuracy: 0.3667 - F1: 0.3353
sub_8:Test (Best Model) - Loss: 2.8457 - Accuracy: 0.4190 - F1: 0.4294
sub_8:Test (Best Model) - Loss: 3.4332 - Accuracy: 0.3238 - F1: 0.3356
sub_8:Test (Best Model) - Loss: 2.6870 - Accuracy: 0.3619 - F1: 0.3710
sub_8:Test (Best Model) - Loss: 2.9593 - Accuracy: 0.3333 - F1: 0.3465
sub_8:Test (Best Model) - Loss: 3.0867 - Accuracy: 0.3571 - F1: 0.3645
sub_8:Test (Best Model) - Loss: 3.2632 - Accuracy: 0.3810 - F1: 0.3836
sub_8:Test (Best Model) - Loss: 3.2504 - Accuracy: 0.3143 - F1: 0.3102
sub_8:Test (Best Model) - Loss: 3.2938 - Accuracy: 0.3810 - F1: 0.3668
sub_8:Test (Best Model) - Loss: 3.2217 - Accuracy: 0.3571 - F1: 0.3390
sub_8:Test (Best Model) - Loss: 3.4478 - Accuracy: 0.3238 - F1: 0.3225
sub_9:Test (Best Model) - Loss: 3.1332 - Accuracy: 0.2619 - F1: 0.2444
sub_9:Test (Best Model) - Loss: 3.2510 - Accuracy: 0.2810 - F1: 0.2641
sub_9:Test (Best Model) - Loss: 2.8102 - Accuracy: 0.2952 - F1: 0.2589
sub_9:Test (Best Model) - Loss: 3.6161 - Accuracy: 0.2476 - F1: 0.2099
sub_9:Test (Best Model) - Loss: 3.6854 - Accuracy: 0.3000 - F1: 0.2743
sub_9:Test (Best Model) - Loss: 3.0861 - Accuracy: 0.3333 - F1: 0.3251
sub_9:Test (Best Model) - Loss: 3.1265 - Accuracy: 0.2905 - F1: 0.2785
sub_9:Test (Best Model) - Loss: 3.2103 - Accuracy: 0.2810 - F1: 0.2774
sub_9:Test (Best Model) - Loss: 2.8265 - Accuracy: 0.3286 - F1: 0.3274
sub_9:Test (Best Model) - Loss: 3.0101 - Accuracy: 0.3381 - F1: 0.3168
sub_9:Test (Best Model) - Loss: 3.3196 - Accuracy: 0.2286 - F1: 0.2369
sub_9:Test (Best Model) - Loss: 3.0010 - Accuracy: 0.3381 - F1: 0.3386
sub_9:Test (Best Model) - Loss: 3.0861 - Accuracy: 0.3333 - F1: 0.3396
sub_9:Test (Best Model) - Loss: 2.9066 - Accuracy: 0.2857 - F1: 0.3010
sub_9:Test (Best Model) - Loss: 3.0053 - Accuracy: 0.3000 - F1: 0.2968
sub_10:Test (Best Model) - Loss: 2.8112 - Accuracy: 0.2905 - F1: 0.2881
sub_10:Test (Best Model) - Loss: 2.6141 - Accuracy: 0.3524 - F1: 0.3374
sub_10:Test (Best Model) - Loss: 3.2460 - Accuracy: 0.3000 - F1: 0.2882
sub_10:Test (Best Model) - Loss: 2.8191 - Accuracy: 0.3381 - F1: 0.3189
sub_10:Test (Best Model) - Loss: 2.8192 - Accuracy: 0.3190 - F1: 0.3092
sub_10:Test (Best Model) - Loss: 2.9255 - Accuracy: 0.2905 - F1: 0.2823
sub_10:Test (Best Model) - Loss: 2.8184 - Accuracy: 0.2905 - F1: 0.2842
sub_10:Test (Best Model) - Loss: 2.7028 - Accuracy: 0.3333 - F1: 0.3299
sub_10:Test (Best Model) - Loss: 2.7406 - Accuracy: 0.3286 - F1: 0.3157
sub_10:Test (Best Model) - Loss: 2.9635 - Accuracy: 0.3190 - F1: 0.3101
sub_10:Test (Best Model) - Loss: 3.0446 - Accuracy: 0.2857 - F1: 0.2731
sub_10:Test (Best Model) - Loss: 3.0955 - Accuracy: 0.3048 - F1: 0.2952
sub_10:Test (Best Model) - Loss: 2.9564 - Accuracy: 0.3095 - F1: 0.3059
sub_10:Test (Best Model) - Loss: 2.9282 - Accuracy: 0.2714 - F1: 0.2663
sub_10:Test (Best Model) - Loss: 2.8123 - Accuracy: 0.2762 - F1: 0.2750
sub_11:Test (Best Model) - Loss: 3.1884 - Accuracy: 0.2762 - F1: 0.2510
sub_11:Test (Best Model) - Loss: 3.3802 - Accuracy: 0.2619 - F1: 0.2397
sub_11:Test (Best Model) - Loss: 3.6468 - Accuracy: 0.2048 - F1: 0.1716
sub_11:Test (Best Model) - Loss: 3.6695 - Accuracy: 0.2571 - F1: 0.2312
sub_11:Test (Best Model) - Loss: 3.5502 - Accuracy: 0.2810 - F1: 0.2505
sub_11:Test (Best Model) - Loss: 2.6524 - Accuracy: 0.3095 - F1: 0.3111
sub_11:Test (Best Model) - Loss: 2.7849 - Accuracy: 0.2762 - F1: 0.2797
sub_11:Test (Best Model) - Loss: 2.3752 - Accuracy: 0.3048 - F1: 0.3075
sub_11:Test (Best Model) - Loss: 2.7387 - Accuracy: 0.3190 - F1: 0.3157
sub_11:Test (Best Model) - Loss: 3.1095 - Accuracy: 0.2810 - F1: 0.2870
sub_11:Test (Best Model) - Loss: 3.2487 - Accuracy: 0.3143 - F1: 0.3248
sub_11:Test (Best Model) - Loss: 3.3225 - Accuracy: 0.2810 - F1: 0.2840
sub_11:Test (Best Model) - Loss: 3.2534 - Accuracy: 0.2952 - F1: 0.3024
sub_11:Test (Best Model) - Loss: 3.1967 - Accuracy: 0.2857 - F1: 0.2970
sub_11:Test (Best Model) - Loss: 2.9304 - Accuracy: 0.3000 - F1: 0.2999
sub_12:Test (Best Model) - Loss: 2.2844 - Accuracy: 0.3571 - F1: 0.3730
sub_12:Test (Best Model) - Loss: 2.3333 - Accuracy: 0.3524 - F1: 0.3620
sub_12:Test (Best Model) - Loss: 2.3255 - Accuracy: 0.3524 - F1: 0.3497
sub_12:Test (Best Model) - Loss: 2.2200 - Accuracy: 0.3810 - F1: 0.3687
sub_12:Test (Best Model) - Loss: 2.2358 - Accuracy: 0.3571 - F1: 0.3677
sub_12:Test (Best Model) - Loss: 3.8598 - Accuracy: 0.3190 - F1: 0.2596
sub_12:Test (Best Model) - Loss: 4.1454 - Accuracy: 0.3190 - F1: 0.2606
sub_12:Test (Best Model) - Loss: 4.2766 - Accuracy: 0.3286 - F1: 0.2706
sub_12:Test (Best Model) - Loss: 4.8023 - Accuracy: 0.3095 - F1: 0.2484
sub_12:Test (Best Model) - Loss: 4.1409 - Accuracy: 0.3048 - F1: 0.2424
sub_12:Test (Best Model) - Loss: 3.7272 - Accuracy: 0.2857 - F1: 0.3005
sub_12:Test (Best Model) - Loss: 3.5104 - Accuracy: 0.2810 - F1: 0.3013
sub_12:Test (Best Model) - Loss: 3.1957 - Accuracy: 0.2524 - F1: 0.2732
sub_12:Test (Best Model) - Loss: 3.2888 - Accuracy: 0.2762 - F1: 0.2959
sub_12:Test (Best Model) - Loss: 3.3510 - Accuracy: 0.3238 - F1: 0.3398
sub_13:Test (Best Model) - Loss: 2.4257 - Accuracy: 0.3286 - F1: 0.3205
sub_13:Test (Best Model) - Loss: 2.7256 - Accuracy: 0.2619 - F1: 0.2236
sub_13:Test (Best Model) - Loss: 2.5872 - Accuracy: 0.2810 - F1: 0.2632
sub_13:Test (Best Model) - Loss: 2.3242 - Accuracy: 0.2905 - F1: 0.2821
sub_13:Test (Best Model) - Loss: 2.5975 - Accuracy: 0.2857 - F1: 0.2794
sub_13:Test (Best Model) - Loss: 2.9178 - Accuracy: 0.2429 - F1: 0.2414
sub_13:Test (Best Model) - Loss: 2.7852 - Accuracy: 0.2762 - F1: 0.2637
sub_13:Test (Best Model) - Loss: 2.7607 - Accuracy: 0.2667 - F1: 0.2591
sub_13:Test (Best Model) - Loss: 2.4162 - Accuracy: 0.2810 - F1: 0.2810
sub_13:Test (Best Model) - Loss: 2.8340 - Accuracy: 0.2905 - F1: 0.2831
sub_13:Test (Best Model) - Loss: 2.6734 - Accuracy: 0.2714 - F1: 0.2551
sub_13:Test (Best Model) - Loss: 2.9145 - Accuracy: 0.2905 - F1: 0.2479
sub_13:Test (Best Model) - Loss: 2.7117 - Accuracy: 0.3048 - F1: 0.2799
sub_13:Test (Best Model) - Loss: 2.4323 - Accuracy: 0.2952 - F1: 0.2605
sub_13:Test (Best Model) - Loss: 2.8254 - Accuracy: 0.2857 - F1: 0.2653
sub_14:Test (Best Model) - Loss: 3.2817 - Accuracy: 0.3619 - F1: 0.3846
sub_14:Test (Best Model) - Loss: 3.4786 - Accuracy: 0.3333 - F1: 0.3540
sub_14:Test (Best Model) - Loss: 3.7515 - Accuracy: 0.3429 - F1: 0.3674
sub_14:Test (Best Model) - Loss: 3.5715 - Accuracy: 0.3429 - F1: 0.3471
sub_14:Test (Best Model) - Loss: 4.4788 - Accuracy: 0.3048 - F1: 0.3185
sub_14:Test (Best Model) - Loss: 2.8556 - Accuracy: 0.4238 - F1: 0.3871
sub_14:Test (Best Model) - Loss: 3.0291 - Accuracy: 0.3714 - F1: 0.3453
sub_14:Test (Best Model) - Loss: 2.6717 - Accuracy: 0.3905 - F1: 0.3639
sub_14:Test (Best Model) - Loss: 2.9801 - Accuracy: 0.4000 - F1: 0.3707
sub_14:Test (Best Model) - Loss: 2.9375 - Accuracy: 0.4095 - F1: 0.4007
sub_14:Test (Best Model) - Loss: 3.4316 - Accuracy: 0.3238 - F1: 0.2868
sub_14:Test (Best Model) - Loss: 3.1988 - Accuracy: 0.3571 - F1: 0.3131
sub_14:Test (Best Model) - Loss: 3.3097 - Accuracy: 0.3286 - F1: 0.2746
sub_14:Test (Best Model) - Loss: 3.6681 - Accuracy: 0.3810 - F1: 0.3387
sub_14:Test (Best Model) - Loss: 3.2105 - Accuracy: 0.3571 - F1: 0.3117

=== Summary Results ===

acc: 30.91 ± 3.56
F1: 29.49 ± 3.50
acc-in: 36.73 ± 3.75
F1-in: 35.00 ± 3.78
