lr: 0.0001
sub_1:Test (Best Model) - Loss: 4.3116 - Accuracy: 0.2857 - F1: 0.2139
sub_1:Test (Best Model) - Loss: 4.7019 - Accuracy: 0.3095 - F1: 0.2452
sub_1:Test (Best Model) - Loss: 4.2776 - Accuracy: 0.3143 - F1: 0.2541
sub_1:Test (Best Model) - Loss: 4.0324 - Accuracy: 0.2857 - F1: 0.2172
sub_1:Test (Best Model) - Loss: 4.2604 - Accuracy: 0.3143 - F1: 0.2618
sub_1:Test (Best Model) - Loss: 2.7502 - Accuracy: 0.3095 - F1: 0.3162
sub_1:Test (Best Model) - Loss: 2.4885 - Accuracy: 0.3095 - F1: 0.3135
sub_1:Test (Best Model) - Loss: 2.5363 - Accuracy: 0.3095 - F1: 0.3153
sub_1:Test (Best Model) - Loss: 2.3532 - Accuracy: 0.3381 - F1: 0.3495
sub_1:Test (Best Model) - Loss: 2.4493 - Accuracy: 0.3286 - F1: 0.3325
sub_1:Test (Best Model) - Loss: 2.6440 - Accuracy: 0.3143 - F1: 0.3255
sub_1:Test (Best Model) - Loss: 2.6680 - Accuracy: 0.3143 - F1: 0.3190
sub_1:Test (Best Model) - Loss: 2.4959 - Accuracy: 0.2619 - F1: 0.2619
sub_1:Test (Best Model) - Loss: 2.5684 - Accuracy: 0.3286 - F1: 0.3291
sub_1:Test (Best Model) - Loss: 2.5376 - Accuracy: 0.2714 - F1: 0.2787
sub_2:Test (Best Model) - Loss: 2.7470 - Accuracy: 0.3048 - F1: 0.2197
sub_2:Test (Best Model) - Loss: 2.5062 - Accuracy: 0.3524 - F1: 0.2757
sub_2:Test (Best Model) - Loss: 2.5023 - Accuracy: 0.3286 - F1: 0.2487
sub_2:Test (Best Model) - Loss: 3.1728 - Accuracy: 0.3190 - F1: 0.2372
sub_2:Test (Best Model) - Loss: 3.0469 - Accuracy: 0.3048 - F1: 0.2101
sub_2:Test (Best Model) - Loss: 2.3819 - Accuracy: 0.3667 - F1: 0.3848
sub_2:Test (Best Model) - Loss: 2.4437 - Accuracy: 0.3429 - F1: 0.3521
sub_2:Test (Best Model) - Loss: 2.1766 - Accuracy: 0.3905 - F1: 0.4024
sub_2:Test (Best Model) - Loss: 2.2580 - Accuracy: 0.3619 - F1: 0.3697
sub_2:Test (Best Model) - Loss: 2.2852 - Accuracy: 0.3333 - F1: 0.3455
sub_2:Test (Best Model) - Loss: 2.3255 - Accuracy: 0.3333 - F1: 0.3375
sub_2:Test (Best Model) - Loss: 2.2887 - Accuracy: 0.3238 - F1: 0.3348
sub_2:Test (Best Model) - Loss: 2.3029 - Accuracy: 0.3095 - F1: 0.3211
sub_2:Test (Best Model) - Loss: 2.3792 - Accuracy: 0.3143 - F1: 0.3095
sub_2:Test (Best Model) - Loss: 2.3549 - Accuracy: 0.3048 - F1: 0.3168
sub_3:Test (Best Model) - Loss: 2.9920 - Accuracy: 0.2476 - F1: 0.1857
sub_3:Test (Best Model) - Loss: 3.5378 - Accuracy: 0.2571 - F1: 0.1776
sub_3:Test (Best Model) - Loss: 2.9265 - Accuracy: 0.2667 - F1: 0.1954
sub_3:Test (Best Model) - Loss: 3.6274 - Accuracy: 0.2524 - F1: 0.1856
sub_3:Test (Best Model) - Loss: 5.2979 - Accuracy: 0.2190 - F1: 0.1040
sub_3:Test (Best Model) - Loss: 2.8758 - Accuracy: 0.2857 - F1: 0.2857
sub_3:Test (Best Model) - Loss: 2.5870 - Accuracy: 0.2762 - F1: 0.2842
sub_3:Test (Best Model) - Loss: 2.7625 - Accuracy: 0.3048 - F1: 0.3040
sub_3:Test (Best Model) - Loss: 2.6563 - Accuracy: 0.2571 - F1: 0.2584
sub_3:Test (Best Model) - Loss: 2.7792 - Accuracy: 0.3000 - F1: 0.2941
sub_3:Test (Best Model) - Loss: 3.2297 - Accuracy: 0.2905 - F1: 0.2848
sub_3:Test (Best Model) - Loss: 3.0718 - Accuracy: 0.2381 - F1: 0.2230
sub_3:Test (Best Model) - Loss: 3.1706 - Accuracy: 0.3143 - F1: 0.3096
sub_3:Test (Best Model) - Loss: 3.2761 - Accuracy: 0.3095 - F1: 0.3089
sub_3:Test (Best Model) - Loss: 3.1482 - Accuracy: 0.2524 - F1: 0.2403
sub_4:Test (Best Model) - Loss: 2.4972 - Accuracy: 0.3476 - F1: 0.3452
sub_4:Test (Best Model) - Loss: 2.7708 - Accuracy: 0.3000 - F1: 0.2995
sub_4:Test (Best Model) - Loss: 2.5715 - Accuracy: 0.2667 - F1: 0.2642
sub_4:Test (Best Model) - Loss: 2.4062 - Accuracy: 0.3000 - F1: 0.2966
sub_4:Test (Best Model) - Loss: 2.4752 - Accuracy: 0.3000 - F1: 0.2992
sub_4:Test (Best Model) - Loss: 2.7941 - Accuracy: 0.3000 - F1: 0.2997
sub_4:Test (Best Model) - Loss: 2.7690 - Accuracy: 0.3000 - F1: 0.2896
sub_4:Test (Best Model) - Loss: 3.1983 - Accuracy: 0.2667 - F1: 0.2600
sub_4:Test (Best Model) - Loss: 2.6197 - Accuracy: 0.2952 - F1: 0.2927
sub_4:Test (Best Model) - Loss: 2.7133 - Accuracy: 0.2905 - F1: 0.2873
sub_4:Test (Best Model) - Loss: 2.2762 - Accuracy: 0.3619 - F1: 0.3416
sub_4:Test (Best Model) - Loss: 2.3556 - Accuracy: 0.3905 - F1: 0.3545
sub_4:Test (Best Model) - Loss: 2.2594 - Accuracy: 0.3619 - F1: 0.3121
sub_4:Test (Best Model) - Loss: 2.4074 - Accuracy: 0.3476 - F1: 0.3222
sub_4:Test (Best Model) - Loss: 2.1177 - Accuracy: 0.3762 - F1: 0.3510
sub_5:Test (Best Model) - Loss: 3.9103 - Accuracy: 0.3286 - F1: 0.2641
sub_5:Test (Best Model) - Loss: 3.5074 - Accuracy: 0.3571 - F1: 0.2965
sub_5:Test (Best Model) - Loss: 3.4411 - Accuracy: 0.3810 - F1: 0.3083
sub_5:Test (Best Model) - Loss: 3.9513 - Accuracy: 0.3381 - F1: 0.2681
sub_5:Test (Best Model) - Loss: 3.6215 - Accuracy: 0.3619 - F1: 0.2862
sub_5:Test (Best Model) - Loss: 2.2243 - Accuracy: 0.3571 - F1: 0.3662
sub_5:Test (Best Model) - Loss: 2.5766 - Accuracy: 0.3143 - F1: 0.3206
sub_5:Test (Best Model) - Loss: 2.3448 - Accuracy: 0.4000 - F1: 0.4036
sub_5:Test (Best Model) - Loss: 2.0690 - Accuracy: 0.4048 - F1: 0.4136
sub_5:Test (Best Model) - Loss: 2.4108 - Accuracy: 0.3476 - F1: 0.3488
sub_5:Test (Best Model) - Loss: 2.1922 - Accuracy: 0.3238 - F1: 0.3396
sub_5:Test (Best Model) - Loss: 2.2489 - Accuracy: 0.3429 - F1: 0.3562
sub_5:Test (Best Model) - Loss: 2.4694 - Accuracy: 0.3190 - F1: 0.3297
sub_5:Test (Best Model) - Loss: 2.2052 - Accuracy: 0.3381 - F1: 0.3575
sub_5:Test (Best Model) - Loss: 2.0633 - Accuracy: 0.3429 - F1: 0.3588
sub_6:Test (Best Model) - Loss: 2.8619 - Accuracy: 0.2667 - F1: 0.2631
sub_6:Test (Best Model) - Loss: 2.7962 - Accuracy: 0.2667 - F1: 0.2696
sub_6:Test (Best Model) - Loss: 2.9214 - Accuracy: 0.1905 - F1: 0.1882
sub_6:Test (Best Model) - Loss: 2.8360 - Accuracy: 0.2619 - F1: 0.2449
sub_6:Test (Best Model) - Loss: 2.5981 - Accuracy: 0.2810 - F1: 0.2703
sub_6:Test (Best Model) - Loss: 2.8569 - Accuracy: 0.2714 - F1: 0.2661
sub_6:Test (Best Model) - Loss: 2.7217 - Accuracy: 0.2810 - F1: 0.2757
sub_6:Test (Best Model) - Loss: 2.4510 - Accuracy: 0.3000 - F1: 0.2833
sub_6:Test (Best Model) - Loss: 2.5097 - Accuracy: 0.2619 - F1: 0.2488
sub_6:Test (Best Model) - Loss: 2.5250 - Accuracy: 0.2905 - F1: 0.2775
sub_6:Test (Best Model) - Loss: 2.1885 - Accuracy: 0.2905 - F1: 0.2840
sub_6:Test (Best Model) - Loss: 2.3761 - Accuracy: 0.2905 - F1: 0.2862
sub_6:Test (Best Model) - Loss: 2.2316 - Accuracy: 0.3143 - F1: 0.3137
sub_6:Test (Best Model) - Loss: 2.4197 - Accuracy: 0.2667 - F1: 0.2527
sub_6:Test (Best Model) - Loss: 2.4564 - Accuracy: 0.2952 - F1: 0.2884
sub_7:Test (Best Model) - Loss: 3.3073 - Accuracy: 0.2524 - F1: 0.2292
sub_7:Test (Best Model) - Loss: 3.8574 - Accuracy: 0.2333 - F1: 0.2028
sub_7:Test (Best Model) - Loss: 3.0655 - Accuracy: 0.2762 - F1: 0.2509
sub_7:Test (Best Model) - Loss: 3.2215 - Accuracy: 0.2476 - F1: 0.2205
sub_7:Test (Best Model) - Loss: 3.2875 - Accuracy: 0.2429 - F1: 0.2001
sub_7:Test (Best Model) - Loss: 2.9206 - Accuracy: 0.2000 - F1: 0.2071
sub_7:Test (Best Model) - Loss: 2.6856 - Accuracy: 0.2095 - F1: 0.2126
sub_7:Test (Best Model) - Loss: 2.8997 - Accuracy: 0.2333 - F1: 0.2333
sub_7:Test (Best Model) - Loss: 2.6716 - Accuracy: 0.2286 - F1: 0.2280
sub_7:Test (Best Model) - Loss: 2.7953 - Accuracy: 0.2238 - F1: 0.2161
sub_7:Test (Best Model) - Loss: 2.6419 - Accuracy: 0.1952 - F1: 0.1942
sub_7:Test (Best Model) - Loss: 2.6631 - Accuracy: 0.2000 - F1: 0.1957
sub_7:Test (Best Model) - Loss: 2.6857 - Accuracy: 0.2333 - F1: 0.2268
sub_7:Test (Best Model) - Loss: 2.5802 - Accuracy: 0.2429 - F1: 0.2473
sub_7:Test (Best Model) - Loss: 2.5390 - Accuracy: 0.2190 - F1: 0.2183
sub_8:Test (Best Model) - Loss: 2.5548 - Accuracy: 0.3762 - F1: 0.3467
sub_8:Test (Best Model) - Loss: 3.0073 - Accuracy: 0.3714 - F1: 0.3348
sub_8:Test (Best Model) - Loss: 2.8969 - Accuracy: 0.3429 - F1: 0.3154
sub_8:Test (Best Model) - Loss: 2.9696 - Accuracy: 0.3524 - F1: 0.3248
sub_8:Test (Best Model) - Loss: 3.2154 - Accuracy: 0.3571 - F1: 0.3241
sub_8:Test (Best Model) - Loss: 2.4383 - Accuracy: 0.3714 - F1: 0.3833
sub_8:Test (Best Model) - Loss: 2.5706 - Accuracy: 0.3333 - F1: 0.3406
sub_8:Test (Best Model) - Loss: 2.3591 - Accuracy: 0.3619 - F1: 0.3716
sub_8:Test (Best Model) - Loss: 2.4793 - Accuracy: 0.3524 - F1: 0.3503
sub_8:Test (Best Model) - Loss: 2.3434 - Accuracy: 0.3571 - F1: 0.3711
sub_8:Test (Best Model) - Loss: 2.7028 - Accuracy: 0.3524 - F1: 0.3519
sub_8:Test (Best Model) - Loss: 2.5611 - Accuracy: 0.3286 - F1: 0.3274
sub_8:Test (Best Model) - Loss: 2.5318 - Accuracy: 0.3667 - F1: 0.3591
sub_8:Test (Best Model) - Loss: 2.6877 - Accuracy: 0.3810 - F1: 0.3643
sub_8:Test (Best Model) - Loss: 2.8001 - Accuracy: 0.3476 - F1: 0.3463
sub_9:Test (Best Model) - Loss: 2.8417 - Accuracy: 0.2381 - F1: 0.2105
sub_9:Test (Best Model) - Loss: 2.6440 - Accuracy: 0.2952 - F1: 0.2827
sub_9:Test (Best Model) - Loss: 2.5184 - Accuracy: 0.3190 - F1: 0.2866
sub_9:Test (Best Model) - Loss: 3.4369 - Accuracy: 0.2429 - F1: 0.1988
sub_9:Test (Best Model) - Loss: 2.8187 - Accuracy: 0.2857 - F1: 0.2578
sub_9:Test (Best Model) - Loss: 2.4391 - Accuracy: 0.3000 - F1: 0.2930
sub_9:Test (Best Model) - Loss: 2.5892 - Accuracy: 0.2857 - F1: 0.2765
sub_9:Test (Best Model) - Loss: 2.7620 - Accuracy: 0.2667 - F1: 0.2593
sub_9:Test (Best Model) - Loss: 2.5802 - Accuracy: 0.2952 - F1: 0.2842
sub_9:Test (Best Model) - Loss: 2.5692 - Accuracy: 0.3048 - F1: 0.2830
sub_9:Test (Best Model) - Loss: 2.7436 - Accuracy: 0.2286 - F1: 0.2324
sub_9:Test (Best Model) - Loss: 2.4649 - Accuracy: 0.3286 - F1: 0.3267
sub_9:Test (Best Model) - Loss: 2.4862 - Accuracy: 0.3143 - F1: 0.3198
sub_9:Test (Best Model) - Loss: 2.4995 - Accuracy: 0.2905 - F1: 0.3002
sub_9:Test (Best Model) - Loss: 2.5064 - Accuracy: 0.3000 - F1: 0.3074
sub_10:Test (Best Model) - Loss: 2.4202 - Accuracy: 0.3429 - F1: 0.3328
sub_10:Test (Best Model) - Loss: 2.3531 - Accuracy: 0.3619 - F1: 0.3461
sub_10:Test (Best Model) - Loss: 2.5374 - Accuracy: 0.3095 - F1: 0.3015
sub_10:Test (Best Model) - Loss: 2.4517 - Accuracy: 0.3000 - F1: 0.2757
sub_10:Test (Best Model) - Loss: 2.5290 - Accuracy: 0.3381 - F1: 0.3306
sub_10:Test (Best Model) - Loss: 2.5876 - Accuracy: 0.2857 - F1: 0.2744
sub_10:Test (Best Model) - Loss: 2.3549 - Accuracy: 0.2952 - F1: 0.2766
sub_10:Test (Best Model) - Loss: 2.4441 - Accuracy: 0.3000 - F1: 0.2930
sub_10:Test (Best Model) - Loss: 2.4102 - Accuracy: 0.2810 - F1: 0.2810
sub_10:Test (Best Model) - Loss: 2.4505 - Accuracy: 0.2857 - F1: 0.2734
sub_10:Test (Best Model) - Loss: 2.5281 - Accuracy: 0.2476 - F1: 0.2447
sub_10:Test (Best Model) - Loss: 2.5600 - Accuracy: 0.2571 - F1: 0.2565
sub_10:Test (Best Model) - Loss: 2.4364 - Accuracy: 0.3143 - F1: 0.3046
sub_10:Test (Best Model) - Loss: 2.5234 - Accuracy: 0.2857 - F1: 0.2776
sub_10:Test (Best Model) - Loss: 2.6648 - Accuracy: 0.2524 - F1: 0.2522
sub_11:Test (Best Model) - Loss: 2.9433 - Accuracy: 0.2571 - F1: 0.2354
sub_11:Test (Best Model) - Loss: 2.8782 - Accuracy: 0.2571 - F1: 0.2429
sub_11:Test (Best Model) - Loss: 2.9290 - Accuracy: 0.2143 - F1: 0.1886
sub_11:Test (Best Model) - Loss: 3.0964 - Accuracy: 0.2429 - F1: 0.2166
sub_11:Test (Best Model) - Loss: 2.9061 - Accuracy: 0.2905 - F1: 0.2651
sub_11:Test (Best Model) - Loss: 2.4980 - Accuracy: 0.2667 - F1: 0.2734
sub_11:Test (Best Model) - Loss: 2.3625 - Accuracy: 0.2952 - F1: 0.3011
sub_11:Test (Best Model) - Loss: 2.2307 - Accuracy: 0.3524 - F1: 0.3584
sub_11:Test (Best Model) - Loss: 2.4467 - Accuracy: 0.3095 - F1: 0.3161
sub_11:Test (Best Model) - Loss: 2.5805 - Accuracy: 0.2714 - F1: 0.2754
sub_11:Test (Best Model) - Loss: 2.4394 - Accuracy: 0.3048 - F1: 0.3095
sub_11:Test (Best Model) - Loss: 2.3602 - Accuracy: 0.3095 - F1: 0.3052
sub_11:Test (Best Model) - Loss: 2.5933 - Accuracy: 0.2571 - F1: 0.2651
sub_11:Test (Best Model) - Loss: 2.5872 - Accuracy: 0.3238 - F1: 0.3209
sub_11:Test (Best Model) - Loss: 2.4700 - Accuracy: 0.3143 - F1: 0.3220
sub_12:Test (Best Model) - Loss: 1.9708 - Accuracy: 0.3286 - F1: 0.3448
sub_12:Test (Best Model) - Loss: 2.0893 - Accuracy: 0.3524 - F1: 0.3604
sub_12:Test (Best Model) - Loss: 2.1089 - Accuracy: 0.3286 - F1: 0.3234
sub_12:Test (Best Model) - Loss: 1.8980 - Accuracy: 0.4048 - F1: 0.4037
sub_12:Test (Best Model) - Loss: 2.0642 - Accuracy: 0.3429 - F1: 0.3562
sub_12:Test (Best Model) - Loss: 3.5305 - Accuracy: 0.3000 - F1: 0.2339
sub_12:Test (Best Model) - Loss: 3.3933 - Accuracy: 0.3143 - F1: 0.2549
sub_12:Test (Best Model) - Loss: 3.7471 - Accuracy: 0.3381 - F1: 0.2866
sub_12:Test (Best Model) - Loss: 3.5646 - Accuracy: 0.3143 - F1: 0.2545
sub_12:Test (Best Model) - Loss: 3.3572 - Accuracy: 0.2952 - F1: 0.2307
sub_12:Test (Best Model) - Loss: 3.0881 - Accuracy: 0.2762 - F1: 0.2936
sub_12:Test (Best Model) - Loss: 3.3084 - Accuracy: 0.2667 - F1: 0.2809
sub_12:Test (Best Model) - Loss: 2.9875 - Accuracy: 0.2381 - F1: 0.2569
sub_12:Test (Best Model) - Loss: 2.7498 - Accuracy: 0.2571 - F1: 0.2736
sub_12:Test (Best Model) - Loss: 3.1118 - Accuracy: 0.2714 - F1: 0.2904
sub_13:Test (Best Model) - Loss: 2.1165 - Accuracy: 0.3048 - F1: 0.2983
sub_13:Test (Best Model) - Loss: 2.2084 - Accuracy: 0.2619 - F1: 0.2510
sub_13:Test (Best Model) - Loss: 2.3155 - Accuracy: 0.2810 - F1: 0.2583
sub_13:Test (Best Model) - Loss: 2.1546 - Accuracy: 0.2952 - F1: 0.2837
sub_13:Test (Best Model) - Loss: 2.1453 - Accuracy: 0.2762 - F1: 0.2667
sub_13:Test (Best Model) - Loss: 2.4849 - Accuracy: 0.2952 - F1: 0.2927
sub_13:Test (Best Model) - Loss: 2.6193 - Accuracy: 0.2286 - F1: 0.2209
sub_13:Test (Best Model) - Loss: 2.5033 - Accuracy: 0.2333 - F1: 0.2173
sub_13:Test (Best Model) - Loss: 2.0962 - Accuracy: 0.2714 - F1: 0.2694
sub_13:Test (Best Model) - Loss: 2.3804 - Accuracy: 0.2857 - F1: 0.2734
sub_13:Test (Best Model) - Loss: 2.2672 - Accuracy: 0.2952 - F1: 0.2783
sub_13:Test (Best Model) - Loss: 2.1911 - Accuracy: 0.2857 - F1: 0.2694
sub_13:Test (Best Model) - Loss: 2.1409 - Accuracy: 0.3333 - F1: 0.3082
sub_13:Test (Best Model) - Loss: 2.0173 - Accuracy: 0.2952 - F1: 0.2835
sub_13:Test (Best Model) - Loss: 2.4575 - Accuracy: 0.3048 - F1: 0.2873
sub_14:Test (Best Model) - Loss: 2.7561 - Accuracy: 0.3476 - F1: 0.3696
sub_14:Test (Best Model) - Loss: 2.7373 - Accuracy: 0.3190 - F1: 0.3407
sub_14:Test (Best Model) - Loss: 2.6100 - Accuracy: 0.3571 - F1: 0.3799
sub_14:Test (Best Model) - Loss: 3.0303 - Accuracy: 0.3429 - F1: 0.3496
sub_14:Test (Best Model) - Loss: 3.4135 - Accuracy: 0.2524 - F1: 0.2715
sub_14:Test (Best Model) - Loss: 2.4746 - Accuracy: 0.3905 - F1: 0.3612
sub_14:Test (Best Model) - Loss: 2.3388 - Accuracy: 0.3857 - F1: 0.3586
sub_14:Test (Best Model) - Loss: 2.4918 - Accuracy: 0.3762 - F1: 0.3500
sub_14:Test (Best Model) - Loss: 2.3209 - Accuracy: 0.3857 - F1: 0.3527
sub_14:Test (Best Model) - Loss: 2.5888 - Accuracy: 0.3286 - F1: 0.3132
sub_14:Test (Best Model) - Loss: 2.5663 - Accuracy: 0.3571 - F1: 0.3138
sub_14:Test (Best Model) - Loss: 2.4872 - Accuracy: 0.3476 - F1: 0.2977
sub_14:Test (Best Model) - Loss: 2.5207 - Accuracy: 0.3476 - F1: 0.3058
sub_14:Test (Best Model) - Loss: 2.6994 - Accuracy: 0.3619 - F1: 0.3027
sub_14:Test (Best Model) - Loss: 2.9033 - Accuracy: 0.3429 - F1: 0.2879

=== Summary Results ===

acc: 30.37 ± 3.46
F1: 28.99 ± 3.40
acc-in: 36.18 ± 3.81
F1-in: 35.07 ± 3.78
