lr: 0.001
sub_1:Test (Best Model) - Loss: 22.1014 - Accuracy: 0.2857 - F1: 0.2258
sub_1:Test (Best Model) - Loss: 19.0903 - Accuracy: 0.2905 - F1: 0.2317
sub_1:Test (Best Model) - Loss: 23.2871 - Accuracy: 0.2952 - F1: 0.2471
sub_1:Test (Best Model) - Loss: 29.9549 - Accuracy: 0.2857 - F1: 0.2271
sub_1:Test (Best Model) - Loss: 21.1972 - Accuracy: 0.3048 - F1: 0.2415
sub_1:Test (Best Model) - Loss: 12.8065 - Accuracy: 0.2762 - F1: 0.2705
sub_1:Test (Best Model) - Loss: 11.2998 - Accuracy: 0.2952 - F1: 0.2949
sub_1:Test (Best Model) - Loss: 11.3607 - Accuracy: 0.3143 - F1: 0.3100
sub_1:Test (Best Model) - Loss: 10.6261 - Accuracy: 0.3429 - F1: 0.3463
sub_1:Test (Best Model) - Loss: 16.2141 - Accuracy: 0.2524 - F1: 0.2486
sub_1:Test (Best Model) - Loss: 13.1114 - Accuracy: 0.3095 - F1: 0.3006
sub_1:Test (Best Model) - Loss: 13.1762 - Accuracy: 0.2762 - F1: 0.2838
sub_1:Test (Best Model) - Loss: 15.3342 - Accuracy: 0.2429 - F1: 0.2356
sub_1:Test (Best Model) - Loss: 12.1643 - Accuracy: 0.2429 - F1: 0.2342
sub_1:Test (Best Model) - Loss: 13.1702 - Accuracy: 0.2381 - F1: 0.2464
sub_2:Test (Best Model) - Loss: 15.6773 - Accuracy: 0.2952 - F1: 0.2104
sub_2:Test (Best Model) - Loss: 10.4236 - Accuracy: 0.3095 - F1: 0.3017
sub_2:Test (Best Model) - Loss: 13.6456 - Accuracy: 0.3333 - F1: 0.3094
sub_2:Test (Best Model) - Loss: 13.5448 - Accuracy: 0.3095 - F1: 0.2416
sub_2:Test (Best Model) - Loss: 16.2929 - Accuracy: 0.3238 - F1: 0.2710
sub_2:Test (Best Model) - Loss: 12.9157 - Accuracy: 0.3714 - F1: 0.3167
sub_2:Test (Best Model) - Loss: 19.3691 - Accuracy: 0.2238 - F1: 0.1965
sub_2:Test (Best Model) - Loss: 12.0279 - Accuracy: 0.3524 - F1: 0.3560
sub_2:Test (Best Model) - Loss: 16.7536 - Accuracy: 0.3857 - F1: 0.3728
sub_2:Test (Best Model) - Loss: 11.8704 - Accuracy: 0.4000 - F1: 0.3900
sub_2:Test (Best Model) - Loss: 10.2704 - Accuracy: 0.3333 - F1: 0.3291
sub_2:Test (Best Model) - Loss: 11.9374 - Accuracy: 0.3286 - F1: 0.3307
sub_2:Test (Best Model) - Loss: 12.1181 - Accuracy: 0.2619 - F1: 0.2763
sub_2:Test (Best Model) - Loss: 12.5360 - Accuracy: 0.3476 - F1: 0.3247
sub_2:Test (Best Model) - Loss: 14.6686 - Accuracy: 0.3143 - F1: 0.3090
sub_3:Test (Best Model) - Loss: 10.2959 - Accuracy: 0.2619 - F1: 0.2386
sub_3:Test (Best Model) - Loss: 12.3184 - Accuracy: 0.2857 - F1: 0.2409
sub_3:Test (Best Model) - Loss: 13.3542 - Accuracy: 0.2571 - F1: 0.2105
sub_3:Test (Best Model) - Loss: 14.9327 - Accuracy: 0.2571 - F1: 0.2602
sub_3:Test (Best Model) - Loss: 20.9666 - Accuracy: 0.2524 - F1: 0.1685
sub_3:Test (Best Model) - Loss: 11.1356 - Accuracy: 0.3190 - F1: 0.3212
sub_3:Test (Best Model) - Loss: 10.6254 - Accuracy: 0.2714 - F1: 0.2791
sub_3:Test (Best Model) - Loss: 12.3071 - Accuracy: 0.3000 - F1: 0.2740
sub_3:Test (Best Model) - Loss: 11.3852 - Accuracy: 0.2571 - F1: 0.2555
sub_3:Test (Best Model) - Loss: 15.9675 - Accuracy: 0.2905 - F1: 0.2812
sub_3:Test (Best Model) - Loss: 14.2274 - Accuracy: 0.3095 - F1: 0.2994
sub_3:Test (Best Model) - Loss: 17.2027 - Accuracy: 0.1905 - F1: 0.1677
sub_3:Test (Best Model) - Loss: 17.6722 - Accuracy: 0.2571 - F1: 0.2426
sub_3:Test (Best Model) - Loss: 13.3941 - Accuracy: 0.2571 - F1: 0.2661
sub_3:Test (Best Model) - Loss: 13.4686 - Accuracy: 0.2667 - F1: 0.2499
sub_4:Test (Best Model) - Loss: 10.2473 - Accuracy: 0.3429 - F1: 0.3431
sub_4:Test (Best Model) - Loss: 16.0079 - Accuracy: 0.2571 - F1: 0.2418
sub_4:Test (Best Model) - Loss: 14.8567 - Accuracy: 0.2810 - F1: 0.2847
sub_4:Test (Best Model) - Loss: 11.0446 - Accuracy: 0.3286 - F1: 0.3275
sub_4:Test (Best Model) - Loss: 11.8167 - Accuracy: 0.3381 - F1: 0.3354
sub_4:Test (Best Model) - Loss: 15.7412 - Accuracy: 0.2476 - F1: 0.2275
sub_4:Test (Best Model) - Loss: 16.0627 - Accuracy: 0.2714 - F1: 0.2600
sub_4:Test (Best Model) - Loss: 13.6872 - Accuracy: 0.3143 - F1: 0.2933
sub_4:Test (Best Model) - Loss: 13.9093 - Accuracy: 0.2571 - F1: 0.2177
sub_4:Test (Best Model) - Loss: 15.2332 - Accuracy: 0.2619 - F1: 0.2411
sub_4:Test (Best Model) - Loss: 10.0803 - Accuracy: 0.3429 - F1: 0.3327
sub_4:Test (Best Model) - Loss: 10.8218 - Accuracy: 0.3095 - F1: 0.2995
sub_4:Test (Best Model) - Loss: 14.5208 - Accuracy: 0.3905 - F1: 0.3670
sub_4:Test (Best Model) - Loss: 13.9036 - Accuracy: 0.3190 - F1: 0.2563
sub_4:Test (Best Model) - Loss: 9.6197 - Accuracy: 0.2952 - F1: 0.2830
sub_5:Test (Best Model) - Loss: 23.2543 - Accuracy: 0.3143 - F1: 0.2586
sub_5:Test (Best Model) - Loss: 11.7709 - Accuracy: 0.3333 - F1: 0.2746
sub_5:Test (Best Model) - Loss: 24.1459 - Accuracy: 0.3667 - F1: 0.3107
sub_5:Test (Best Model) - Loss: 22.3900 - Accuracy: 0.3762 - F1: 0.3021
sub_5:Test (Best Model) - Loss: 13.5440 - Accuracy: 0.3095 - F1: 0.2374
sub_5:Test (Best Model) - Loss: 9.0689 - Accuracy: 0.3476 - F1: 0.3444
sub_5:Test (Best Model) - Loss: 13.9637 - Accuracy: 0.3333 - F1: 0.3330
sub_5:Test (Best Model) - Loss: 12.1345 - Accuracy: 0.3333 - F1: 0.3454
sub_5:Test (Best Model) - Loss: 11.0273 - Accuracy: 0.3762 - F1: 0.3696
sub_5:Test (Best Model) - Loss: 14.8161 - Accuracy: 0.3714 - F1: 0.3692
sub_5:Test (Best Model) - Loss: 15.6611 - Accuracy: 0.2952 - F1: 0.3096
sub_5:Test (Best Model) - Loss: 12.6702 - Accuracy: 0.2905 - F1: 0.2936
sub_5:Test (Best Model) - Loss: 12.8586 - Accuracy: 0.2714 - F1: 0.2869
sub_5:Test (Best Model) - Loss: 11.1978 - Accuracy: 0.3190 - F1: 0.3283
sub_5:Test (Best Model) - Loss: 12.7443 - Accuracy: 0.2952 - F1: 0.3130
sub_6:Test (Best Model) - Loss: 11.8568 - Accuracy: 0.2952 - F1: 0.2797
sub_6:Test (Best Model) - Loss: 14.7312 - Accuracy: 0.2238 - F1: 0.2212
sub_6:Test (Best Model) - Loss: 17.6367 - Accuracy: 0.2095 - F1: 0.2015
sub_6:Test (Best Model) - Loss: 20.7618 - Accuracy: 0.2714 - F1: 0.2722
sub_6:Test (Best Model) - Loss: 14.4156 - Accuracy: 0.2667 - F1: 0.2633
sub_6:Test (Best Model) - Loss: 15.7968 - Accuracy: 0.2524 - F1: 0.2458
sub_6:Test (Best Model) - Loss: 17.8719 - Accuracy: 0.2619 - F1: 0.2455
sub_6:Test (Best Model) - Loss: 11.3907 - Accuracy: 0.3095 - F1: 0.2997
sub_6:Test (Best Model) - Loss: 16.2032 - Accuracy: 0.2762 - F1: 0.2594
sub_6:Test (Best Model) - Loss: 17.0273 - Accuracy: 0.3095 - F1: 0.3088
sub_6:Test (Best Model) - Loss: 14.2026 - Accuracy: 0.2381 - F1: 0.1959
sub_6:Test (Best Model) - Loss: 14.6462 - Accuracy: 0.2476 - F1: 0.2387
sub_6:Test (Best Model) - Loss: 10.1474 - Accuracy: 0.2714 - F1: 0.2714
sub_6:Test (Best Model) - Loss: 7.7672 - Accuracy: 0.2571 - F1: 0.2557
sub_6:Test (Best Model) - Loss: 12.8957 - Accuracy: 0.2571 - F1: 0.2403
sub_7:Test (Best Model) - Loss: 12.7110 - Accuracy: 0.2476 - F1: 0.2372
sub_7:Test (Best Model) - Loss: 12.3815 - Accuracy: 0.2333 - F1: 0.2061
sub_7:Test (Best Model) - Loss: 14.4638 - Accuracy: 0.2476 - F1: 0.2322
sub_7:Test (Best Model) - Loss: 14.3528 - Accuracy: 0.2381 - F1: 0.2305
sub_7:Test (Best Model) - Loss: 16.0650 - Accuracy: 0.2381 - F1: 0.2188
sub_7:Test (Best Model) - Loss: 14.5921 - Accuracy: 0.2286 - F1: 0.2238
sub_7:Test (Best Model) - Loss: 9.7042 - Accuracy: 0.2667 - F1: 0.2702
sub_7:Test (Best Model) - Loss: 14.0134 - Accuracy: 0.2619 - F1: 0.2553
sub_7:Test (Best Model) - Loss: 10.2992 - Accuracy: 0.2333 - F1: 0.2263
sub_7:Test (Best Model) - Loss: 13.7932 - Accuracy: 0.1762 - F1: 0.1651
sub_7:Test (Best Model) - Loss: 12.6595 - Accuracy: 0.2143 - F1: 0.2128
sub_7:Test (Best Model) - Loss: 15.4835 - Accuracy: 0.2333 - F1: 0.2226
sub_7:Test (Best Model) - Loss: 13.8419 - Accuracy: 0.2286 - F1: 0.2035
sub_7:Test (Best Model) - Loss: 12.1161 - Accuracy: 0.2571 - F1: 0.2562
sub_7:Test (Best Model) - Loss: 13.4424 - Accuracy: 0.2476 - F1: 0.2511
sub_8:Test (Best Model) - Loss: 16.7229 - Accuracy: 0.3952 - F1: 0.3332
sub_8:Test (Best Model) - Loss: 20.2290 - Accuracy: 0.3571 - F1: 0.3143
sub_8:Test (Best Model) - Loss: 13.9824 - Accuracy: 0.3524 - F1: 0.3121
sub_8:Test (Best Model) - Loss: 14.0842 - Accuracy: 0.3524 - F1: 0.3518
sub_8:Test (Best Model) - Loss: 16.1066 - Accuracy: 0.3000 - F1: 0.2984
sub_8:Test (Best Model) - Loss: 12.2650 - Accuracy: 0.3286 - F1: 0.3470
sub_8:Test (Best Model) - Loss: 12.7013 - Accuracy: 0.3333 - F1: 0.3350
sub_8:Test (Best Model) - Loss: 13.7083 - Accuracy: 0.3143 - F1: 0.3238
sub_8:Test (Best Model) - Loss: 12.7848 - Accuracy: 0.3429 - F1: 0.3211
sub_8:Test (Best Model) - Loss: 10.7228 - Accuracy: 0.3524 - F1: 0.3635
sub_8:Test (Best Model) - Loss: 12.5662 - Accuracy: 0.3095 - F1: 0.3069
sub_8:Test (Best Model) - Loss: 17.9343 - Accuracy: 0.3095 - F1: 0.3167
sub_8:Test (Best Model) - Loss: 15.0223 - Accuracy: 0.3238 - F1: 0.3295
sub_8:Test (Best Model) - Loss: 13.6138 - Accuracy: 0.3333 - F1: 0.3324
sub_8:Test (Best Model) - Loss: 15.6091 - Accuracy: 0.2762 - F1: 0.2937
sub_9:Test (Best Model) - Loss: 18.5680 - Accuracy: 0.3333 - F1: 0.3052
sub_9:Test (Best Model) - Loss: 12.0282 - Accuracy: 0.3524 - F1: 0.3284
sub_9:Test (Best Model) - Loss: 11.2115 - Accuracy: 0.3524 - F1: 0.3274
sub_9:Test (Best Model) - Loss: 15.1525 - Accuracy: 0.3190 - F1: 0.2901
sub_9:Test (Best Model) - Loss: 11.9281 - Accuracy: 0.2714 - F1: 0.2630
sub_9:Test (Best Model) - Loss: 13.2249 - Accuracy: 0.3571 - F1: 0.3533
sub_9:Test (Best Model) - Loss: 11.5282 - Accuracy: 0.2905 - F1: 0.2807
sub_9:Test (Best Model) - Loss: 13.2761 - Accuracy: 0.2810 - F1: 0.2453
sub_9:Test (Best Model) - Loss: 12.5414 - Accuracy: 0.3143 - F1: 0.3044
sub_9:Test (Best Model) - Loss: 11.3864 - Accuracy: 0.3429 - F1: 0.3277
sub_9:Test (Best Model) - Loss: 11.7902 - Accuracy: 0.2524 - F1: 0.2617
sub_9:Test (Best Model) - Loss: 12.5659 - Accuracy: 0.3190 - F1: 0.3294
sub_9:Test (Best Model) - Loss: 13.8829 - Accuracy: 0.2857 - F1: 0.2810
sub_9:Test (Best Model) - Loss: 14.2810 - Accuracy: 0.2381 - F1: 0.2381
sub_9:Test (Best Model) - Loss: 11.2839 - Accuracy: 0.2429 - F1: 0.2343
sub_10:Test (Best Model) - Loss: 13.8042 - Accuracy: 0.2333 - F1: 0.2230
sub_10:Test (Best Model) - Loss: 11.7737 - Accuracy: 0.2810 - F1: 0.2532
sub_10:Test (Best Model) - Loss: 15.4304 - Accuracy: 0.2238 - F1: 0.2225
sub_10:Test (Best Model) - Loss: 9.8178 - Accuracy: 0.3095 - F1: 0.3067
sub_10:Test (Best Model) - Loss: 12.0822 - Accuracy: 0.2762 - F1: 0.2669
sub_10:Test (Best Model) - Loss: 13.6558 - Accuracy: 0.2857 - F1: 0.2762
sub_10:Test (Best Model) - Loss: 14.5516 - Accuracy: 0.3048 - F1: 0.2930
sub_10:Test (Best Model) - Loss: 10.3678 - Accuracy: 0.2905 - F1: 0.2819
sub_10:Test (Best Model) - Loss: 9.2842 - Accuracy: 0.3238 - F1: 0.3073
sub_10:Test (Best Model) - Loss: 12.0671 - Accuracy: 0.2667 - F1: 0.2706
sub_10:Test (Best Model) - Loss: 15.1870 - Accuracy: 0.2810 - F1: 0.2672
sub_10:Test (Best Model) - Loss: 11.3668 - Accuracy: 0.3095 - F1: 0.2969
sub_10:Test (Best Model) - Loss: 13.3735 - Accuracy: 0.2952 - F1: 0.2619
sub_10:Test (Best Model) - Loss: 11.6365 - Accuracy: 0.3048 - F1: 0.2987
sub_10:Test (Best Model) - Loss: 16.8959 - Accuracy: 0.2667 - F1: 0.2558
sub_11:Test (Best Model) - Loss: 21.2094 - Accuracy: 0.2381 - F1: 0.1782
sub_11:Test (Best Model) - Loss: 18.6376 - Accuracy: 0.2238 - F1: 0.1886
sub_11:Test (Best Model) - Loss: 14.5922 - Accuracy: 0.2238 - F1: 0.1939
sub_11:Test (Best Model) - Loss: 14.5446 - Accuracy: 0.2667 - F1: 0.2439
sub_11:Test (Best Model) - Loss: 15.5497 - Accuracy: 0.2857 - F1: 0.2385
sub_11:Test (Best Model) - Loss: 20.8822 - Accuracy: 0.2857 - F1: 0.2833
sub_11:Test (Best Model) - Loss: 10.7157 - Accuracy: 0.3143 - F1: 0.3132
sub_11:Test (Best Model) - Loss: 8.8193 - Accuracy: 0.3190 - F1: 0.3107
sub_11:Test (Best Model) - Loss: 13.6254 - Accuracy: 0.3238 - F1: 0.3175
sub_11:Test (Best Model) - Loss: 13.9645 - Accuracy: 0.2714 - F1: 0.2754
sub_11:Test (Best Model) - Loss: 13.9484 - Accuracy: 0.2952 - F1: 0.2957
sub_11:Test (Best Model) - Loss: 11.9225 - Accuracy: 0.2476 - F1: 0.2607
sub_11:Test (Best Model) - Loss: 13.6910 - Accuracy: 0.2857 - F1: 0.2853
sub_11:Test (Best Model) - Loss: 12.9767 - Accuracy: 0.2857 - F1: 0.2979
sub_11:Test (Best Model) - Loss: 13.8032 - Accuracy: 0.2810 - F1: 0.2863
sub_12:Test (Best Model) - Loss: 10.1759 - Accuracy: 0.2952 - F1: 0.2816
sub_12:Test (Best Model) - Loss: 16.4401 - Accuracy: 0.1952 - F1: 0.1725
sub_12:Test (Best Model) - Loss: 12.8394 - Accuracy: 0.3429 - F1: 0.3408
sub_12:Test (Best Model) - Loss: 19.7773 - Accuracy: 0.2571 - F1: 0.1903
sub_12:Test (Best Model) - Loss: 9.0027 - Accuracy: 0.3000 - F1: 0.3059
sub_12:Test (Best Model) - Loss: 19.7371 - Accuracy: 0.2905 - F1: 0.2239
sub_12:Test (Best Model) - Loss: 10.9856 - Accuracy: 0.3000 - F1: 0.2521
sub_12:Test (Best Model) - Loss: 15.5433 - Accuracy: 0.3333 - F1: 0.2709
sub_12:Test (Best Model) - Loss: 14.2971 - Accuracy: 0.3381 - F1: 0.2943
sub_12:Test (Best Model) - Loss: 14.9799 - Accuracy: 0.2810 - F1: 0.1953
sub_12:Test (Best Model) - Loss: 24.9081 - Accuracy: 0.2286 - F1: 0.2294
sub_12:Test (Best Model) - Loss: 17.2734 - Accuracy: 0.2000 - F1: 0.1914
sub_12:Test (Best Model) - Loss: 19.0484 - Accuracy: 0.2476 - F1: 0.2449
sub_12:Test (Best Model) - Loss: 17.9357 - Accuracy: 0.2667 - F1: 0.2831
sub_12:Test (Best Model) - Loss: 16.4455 - Accuracy: 0.2619 - F1: 0.2692
sub_13:Test (Best Model) - Loss: 9.0197 - Accuracy: 0.2905 - F1: 0.2785
sub_13:Test (Best Model) - Loss: 10.7212 - Accuracy: 0.2333 - F1: 0.2252
sub_13:Test (Best Model) - Loss: 14.1186 - Accuracy: 0.2333 - F1: 0.2216
sub_13:Test (Best Model) - Loss: 13.8508 - Accuracy: 0.2238 - F1: 0.2087
sub_13:Test (Best Model) - Loss: 11.5086 - Accuracy: 0.2619 - F1: 0.2318
sub_13:Test (Best Model) - Loss: 16.8859 - Accuracy: 0.2381 - F1: 0.2068
sub_13:Test (Best Model) - Loss: 15.4731 - Accuracy: 0.2286 - F1: 0.2222
sub_13:Test (Best Model) - Loss: 12.8948 - Accuracy: 0.2381 - F1: 0.2111
sub_13:Test (Best Model) - Loss: 10.3661 - Accuracy: 0.2619 - F1: 0.2667
sub_13:Test (Best Model) - Loss: 19.0103 - Accuracy: 0.2381 - F1: 0.2262
sub_13:Test (Best Model) - Loss: 13.4612 - Accuracy: 0.2619 - F1: 0.2438
sub_13:Test (Best Model) - Loss: 9.6845 - Accuracy: 0.2762 - F1: 0.2616
sub_13:Test (Best Model) - Loss: 9.8691 - Accuracy: 0.2905 - F1: 0.2680
sub_13:Test (Best Model) - Loss: 10.5993 - Accuracy: 0.2667 - F1: 0.2662
sub_13:Test (Best Model) - Loss: 12.1997 - Accuracy: 0.2762 - F1: 0.2653
sub_14:Test (Best Model) - Loss: 25.3613 - Accuracy: 0.3000 - F1: 0.3148
sub_14:Test (Best Model) - Loss: 21.3032 - Accuracy: 0.3190 - F1: 0.3172
sub_14:Test (Best Model) - Loss: 15.3332 - Accuracy: 0.3714 - F1: 0.3712
sub_14:Test (Best Model) - Loss: 17.0473 - Accuracy: 0.3286 - F1: 0.3225
sub_14:Test (Best Model) - Loss: 16.8965 - Accuracy: 0.2619 - F1: 0.2600
sub_14:Test (Best Model) - Loss: 14.4619 - Accuracy: 0.3286 - F1: 0.3019
sub_14:Test (Best Model) - Loss: 11.4975 - Accuracy: 0.3429 - F1: 0.3276
sub_14:Test (Best Model) - Loss: 11.8349 - Accuracy: 0.2952 - F1: 0.2893
sub_14:Test (Best Model) - Loss: 15.5679 - Accuracy: 0.3524 - F1: 0.3341
sub_14:Test (Best Model) - Loss: 9.9261 - Accuracy: 0.3952 - F1: 0.3916
sub_14:Test (Best Model) - Loss: 15.9725 - Accuracy: 0.3286 - F1: 0.2844
sub_14:Test (Best Model) - Loss: 14.2058 - Accuracy: 0.3048 - F1: 0.2913
sub_14:Test (Best Model) - Loss: 13.3271 - Accuracy: 0.3238 - F1: 0.2966
sub_14:Test (Best Model) - Loss: 12.1951 - Accuracy: 0.3381 - F1: 0.3175
sub_14:Test (Best Model) - Loss: 15.1722 - Accuracy: 0.2857 - F1: 0.2991

=== Summary Results ===

acc: 29.02 ± 2.91
F1: 27.52 ± 2.94
acc-in: 36.83 ± 4.05
F1-in: 34.25 ± 4.21
