lr: 0.001
sub_1:Test (Best Model) - Loss: 13.9529 - Accuracy: 0.2952 - F1: 0.2386
sub_1:Test (Best Model) - Loss: 9.1082 - Accuracy: 0.3000 - F1: 0.2392
sub_1:Test (Best Model) - Loss: 9.5911 - Accuracy: 0.3095 - F1: 0.2458
sub_1:Test (Best Model) - Loss: 11.4535 - Accuracy: 0.2952 - F1: 0.2389
sub_1:Test (Best Model) - Loss: 8.2752 - Accuracy: 0.2667 - F1: 0.2373
sub_1:Test (Best Model) - Loss: 8.1701 - Accuracy: 0.2810 - F1: 0.2824
sub_1:Test (Best Model) - Loss: 7.2513 - Accuracy: 0.2952 - F1: 0.2889
sub_1:Test (Best Model) - Loss: 6.5180 - Accuracy: 0.3190 - F1: 0.3233
sub_1:Test (Best Model) - Loss: 6.2358 - Accuracy: 0.3238 - F1: 0.3222
sub_1:Test (Best Model) - Loss: 5.8607 - Accuracy: 0.2810 - F1: 0.2871
sub_1:Test (Best Model) - Loss: 6.4546 - Accuracy: 0.3095 - F1: 0.3198
sub_1:Test (Best Model) - Loss: 5.6214 - Accuracy: 0.2810 - F1: 0.2756
sub_1:Test (Best Model) - Loss: 8.6762 - Accuracy: 0.2476 - F1: 0.2386
sub_1:Test (Best Model) - Loss: 7.5783 - Accuracy: 0.2857 - F1: 0.2828
sub_1:Test (Best Model) - Loss: 7.8393 - Accuracy: 0.2619 - F1: 0.2516
sub_2:Test (Best Model) - Loss: 6.2229 - Accuracy: 0.3429 - F1: 0.2933
sub_2:Test (Best Model) - Loss: 5.9489 - Accuracy: 0.3429 - F1: 0.3020
sub_2:Test (Best Model) - Loss: 5.9650 - Accuracy: 0.3524 - F1: 0.3190
sub_2:Test (Best Model) - Loss: 9.5105 - Accuracy: 0.3190 - F1: 0.2544
sub_2:Test (Best Model) - Loss: 5.9097 - Accuracy: 0.3476 - F1: 0.2919
sub_2:Test (Best Model) - Loss: 7.4440 - Accuracy: 0.3238 - F1: 0.3036
sub_2:Test (Best Model) - Loss: 6.3340 - Accuracy: 0.3333 - F1: 0.3437
sub_2:Test (Best Model) - Loss: 6.5418 - Accuracy: 0.3333 - F1: 0.3312
sub_2:Test (Best Model) - Loss: 6.6361 - Accuracy: 0.3476 - F1: 0.3453
sub_2:Test (Best Model) - Loss: 8.0940 - Accuracy: 0.3190 - F1: 0.3346
sub_2:Test (Best Model) - Loss: 4.9998 - Accuracy: 0.3048 - F1: 0.3104
sub_2:Test (Best Model) - Loss: 5.6551 - Accuracy: 0.2762 - F1: 0.2767
sub_2:Test (Best Model) - Loss: 6.6631 - Accuracy: 0.2857 - F1: 0.3019
sub_2:Test (Best Model) - Loss: 6.1845 - Accuracy: 0.2667 - F1: 0.2771
sub_2:Test (Best Model) - Loss: 6.6779 - Accuracy: 0.2857 - F1: 0.2905
sub_3:Test (Best Model) - Loss: 6.9374 - Accuracy: 0.2524 - F1: 0.1899
sub_3:Test (Best Model) - Loss: 6.1982 - Accuracy: 0.2571 - F1: 0.1980
sub_3:Test (Best Model) - Loss: 9.0445 - Accuracy: 0.2333 - F1: 0.1695
sub_3:Test (Best Model) - Loss: 6.4854 - Accuracy: 0.2810 - F1: 0.2530
sub_3:Test (Best Model) - Loss: 11.6698 - Accuracy: 0.2333 - F1: 0.1340
sub_3:Test (Best Model) - Loss: 6.0570 - Accuracy: 0.2286 - F1: 0.2340
sub_3:Test (Best Model) - Loss: 6.7935 - Accuracy: 0.2143 - F1: 0.2222
sub_3:Test (Best Model) - Loss: 4.6897 - Accuracy: 0.3190 - F1: 0.3244
sub_3:Test (Best Model) - Loss: 6.4981 - Accuracy: 0.2905 - F1: 0.2839
sub_3:Test (Best Model) - Loss: 6.0254 - Accuracy: 0.2857 - F1: 0.2812
sub_3:Test (Best Model) - Loss: 9.8026 - Accuracy: 0.2524 - F1: 0.2054
sub_3:Test (Best Model) - Loss: 7.4245 - Accuracy: 0.2524 - F1: 0.2465
sub_3:Test (Best Model) - Loss: 10.9841 - Accuracy: 0.2524 - F1: 0.2394
sub_3:Test (Best Model) - Loss: 9.8374 - Accuracy: 0.2714 - F1: 0.2623
sub_3:Test (Best Model) - Loss: 8.1213 - Accuracy: 0.2333 - F1: 0.2194
sub_4:Test (Best Model) - Loss: 6.8944 - Accuracy: 0.2762 - F1: 0.2725
sub_4:Test (Best Model) - Loss: 5.9208 - Accuracy: 0.2476 - F1: 0.2513
sub_4:Test (Best Model) - Loss: 6.2373 - Accuracy: 0.2524 - F1: 0.2532
sub_4:Test (Best Model) - Loss: 6.3350 - Accuracy: 0.3238 - F1: 0.3228
sub_4:Test (Best Model) - Loss: 6.2537 - Accuracy: 0.2952 - F1: 0.2904
sub_4:Test (Best Model) - Loss: 9.1552 - Accuracy: 0.2667 - F1: 0.2554
sub_4:Test (Best Model) - Loss: 7.9585 - Accuracy: 0.2524 - F1: 0.2448
sub_4:Test (Best Model) - Loss: 10.3440 - Accuracy: 0.2476 - F1: 0.2465
sub_4:Test (Best Model) - Loss: 7.1933 - Accuracy: 0.2762 - F1: 0.2734
sub_4:Test (Best Model) - Loss: 8.3483 - Accuracy: 0.2429 - F1: 0.2208
sub_4:Test (Best Model) - Loss: 5.2213 - Accuracy: 0.3286 - F1: 0.3262
sub_4:Test (Best Model) - Loss: 5.5797 - Accuracy: 0.3952 - F1: 0.3673
sub_4:Test (Best Model) - Loss: 5.0929 - Accuracy: 0.3619 - F1: 0.3325
sub_4:Test (Best Model) - Loss: 6.3510 - Accuracy: 0.3238 - F1: 0.3176
sub_4:Test (Best Model) - Loss: 4.8339 - Accuracy: 0.2905 - F1: 0.2857
sub_5:Test (Best Model) - Loss: 10.4393 - Accuracy: 0.3048 - F1: 0.2462
sub_5:Test (Best Model) - Loss: 8.2305 - Accuracy: 0.3429 - F1: 0.2981
sub_5:Test (Best Model) - Loss: 9.9287 - Accuracy: 0.3571 - F1: 0.2975
sub_5:Test (Best Model) - Loss: 11.7407 - Accuracy: 0.3476 - F1: 0.2797
sub_5:Test (Best Model) - Loss: 8.3913 - Accuracy: 0.3571 - F1: 0.2877
sub_5:Test (Best Model) - Loss: 6.7862 - Accuracy: 0.3095 - F1: 0.3139
sub_5:Test (Best Model) - Loss: 6.6350 - Accuracy: 0.3000 - F1: 0.3128
sub_5:Test (Best Model) - Loss: 5.8196 - Accuracy: 0.3667 - F1: 0.3685
sub_5:Test (Best Model) - Loss: 5.4823 - Accuracy: 0.3095 - F1: 0.3170
sub_5:Test (Best Model) - Loss: 7.3157 - Accuracy: 0.3000 - F1: 0.3129
sub_5:Test (Best Model) - Loss: 5.7350 - Accuracy: 0.3286 - F1: 0.3435
sub_5:Test (Best Model) - Loss: 5.6613 - Accuracy: 0.3190 - F1: 0.3274
sub_5:Test (Best Model) - Loss: 9.8261 - Accuracy: 0.2667 - F1: 0.2771
sub_5:Test (Best Model) - Loss: 6.8116 - Accuracy: 0.2476 - F1: 0.2443
sub_5:Test (Best Model) - Loss: 5.7107 - Accuracy: 0.2905 - F1: 0.2944
sub_6:Test (Best Model) - Loss: 7.6259 - Accuracy: 0.2476 - F1: 0.2394
sub_6:Test (Best Model) - Loss: 7.3964 - Accuracy: 0.2429 - F1: 0.2378
sub_6:Test (Best Model) - Loss: 7.7226 - Accuracy: 0.1905 - F1: 0.1858
sub_6:Test (Best Model) - Loss: 7.8144 - Accuracy: 0.2381 - F1: 0.2325
sub_6:Test (Best Model) - Loss: 6.3593 - Accuracy: 0.2952 - F1: 0.2916
sub_6:Test (Best Model) - Loss: 8.6001 - Accuracy: 0.2714 - F1: 0.2600
sub_6:Test (Best Model) - Loss: 8.1627 - Accuracy: 0.2810 - F1: 0.2738
sub_6:Test (Best Model) - Loss: 6.4981 - Accuracy: 0.2762 - F1: 0.2717
sub_6:Test (Best Model) - Loss: 7.1653 - Accuracy: 0.2190 - F1: 0.2098
sub_6:Test (Best Model) - Loss: 7.4099 - Accuracy: 0.2905 - F1: 0.2833
sub_6:Test (Best Model) - Loss: 5.8733 - Accuracy: 0.2762 - F1: 0.2692
sub_6:Test (Best Model) - Loss: 6.3377 - Accuracy: 0.2429 - F1: 0.2426
sub_6:Test (Best Model) - Loss: 5.4725 - Accuracy: 0.3048 - F1: 0.3068
sub_6:Test (Best Model) - Loss: 5.2688 - Accuracy: 0.2810 - F1: 0.2698
sub_6:Test (Best Model) - Loss: 6.0845 - Accuracy: 0.2952 - F1: 0.2837
sub_7:Test (Best Model) - Loss: 6.9103 - Accuracy: 0.2190 - F1: 0.2064
sub_7:Test (Best Model) - Loss: 8.1537 - Accuracy: 0.2571 - F1: 0.2435
sub_7:Test (Best Model) - Loss: 8.3020 - Accuracy: 0.2238 - F1: 0.2076
sub_7:Test (Best Model) - Loss: 7.3960 - Accuracy: 0.2381 - F1: 0.2240
sub_7:Test (Best Model) - Loss: 7.8839 - Accuracy: 0.2286 - F1: 0.2044
sub_7:Test (Best Model) - Loss: 6.3182 - Accuracy: 0.2048 - F1: 0.1984
sub_7:Test (Best Model) - Loss: 5.9082 - Accuracy: 0.2857 - F1: 0.2908
sub_7:Test (Best Model) - Loss: 6.5256 - Accuracy: 0.2286 - F1: 0.2265
sub_7:Test (Best Model) - Loss: 5.8488 - Accuracy: 0.2476 - F1: 0.2466
sub_7:Test (Best Model) - Loss: 6.4094 - Accuracy: 0.2095 - F1: 0.2063
sub_7:Test (Best Model) - Loss: 5.3101 - Accuracy: 0.2143 - F1: 0.2135
sub_7:Test (Best Model) - Loss: 6.5752 - Accuracy: 0.1952 - F1: 0.1918
sub_7:Test (Best Model) - Loss: 8.1422 - Accuracy: 0.1810 - F1: 0.1689
sub_7:Test (Best Model) - Loss: 7.3752 - Accuracy: 0.2000 - F1: 0.1909
sub_7:Test (Best Model) - Loss: 5.7060 - Accuracy: 0.2095 - F1: 0.2055
sub_8:Test (Best Model) - Loss: 5.2402 - Accuracy: 0.3381 - F1: 0.3234
sub_8:Test (Best Model) - Loss: 6.6610 - Accuracy: 0.3857 - F1: 0.3563
sub_8:Test (Best Model) - Loss: 6.3786 - Accuracy: 0.3286 - F1: 0.3145
sub_8:Test (Best Model) - Loss: 7.2460 - Accuracy: 0.3524 - F1: 0.3399
sub_8:Test (Best Model) - Loss: 5.0006 - Accuracy: 0.3476 - F1: 0.3297
sub_8:Test (Best Model) - Loss: 5.5461 - Accuracy: 0.3381 - F1: 0.3556
sub_8:Test (Best Model) - Loss: 6.0286 - Accuracy: 0.3000 - F1: 0.3191
sub_8:Test (Best Model) - Loss: 6.7411 - Accuracy: 0.3524 - F1: 0.3640
sub_8:Test (Best Model) - Loss: 5.9543 - Accuracy: 0.3667 - F1: 0.3682
sub_8:Test (Best Model) - Loss: 5.3264 - Accuracy: 0.3190 - F1: 0.3315
sub_8:Test (Best Model) - Loss: 5.6820 - Accuracy: 0.3619 - F1: 0.3578
sub_8:Test (Best Model) - Loss: 7.5945 - Accuracy: 0.2571 - F1: 0.2722
sub_8:Test (Best Model) - Loss: 6.3740 - Accuracy: 0.3048 - F1: 0.3083
sub_8:Test (Best Model) - Loss: 6.6669 - Accuracy: 0.2952 - F1: 0.3052
sub_8:Test (Best Model) - Loss: 7.9476 - Accuracy: 0.3333 - F1: 0.3319
sub_9:Test (Best Model) - Loss: 6.8242 - Accuracy: 0.3095 - F1: 0.2829
sub_9:Test (Best Model) - Loss: 6.9293 - Accuracy: 0.2524 - F1: 0.2341
sub_9:Test (Best Model) - Loss: 5.5947 - Accuracy: 0.2905 - F1: 0.2672
sub_9:Test (Best Model) - Loss: 8.1043 - Accuracy: 0.2667 - F1: 0.2398
sub_9:Test (Best Model) - Loss: 7.8486 - Accuracy: 0.2857 - F1: 0.2557
sub_9:Test (Best Model) - Loss: 5.5878 - Accuracy: 0.3333 - F1: 0.3348
sub_9:Test (Best Model) - Loss: 5.8604 - Accuracy: 0.3143 - F1: 0.3126
sub_9:Test (Best Model) - Loss: 7.1816 - Accuracy: 0.2476 - F1: 0.2383
sub_9:Test (Best Model) - Loss: 4.9738 - Accuracy: 0.3238 - F1: 0.3259
sub_9:Test (Best Model) - Loss: 6.7031 - Accuracy: 0.2762 - F1: 0.2677
sub_9:Test (Best Model) - Loss: 5.5925 - Accuracy: 0.2333 - F1: 0.2470
sub_9:Test (Best Model) - Loss: 6.3070 - Accuracy: 0.3190 - F1: 0.3226
sub_9:Test (Best Model) - Loss: 6.5759 - Accuracy: 0.2762 - F1: 0.2796
sub_9:Test (Best Model) - Loss: 7.7743 - Accuracy: 0.2714 - F1: 0.2864
sub_9:Test (Best Model) - Loss: 6.2350 - Accuracy: 0.2762 - F1: 0.2669
sub_10:Test (Best Model) - Loss: 5.5592 - Accuracy: 0.2952 - F1: 0.2817
sub_10:Test (Best Model) - Loss: 6.3002 - Accuracy: 0.2810 - F1: 0.2707
sub_10:Test (Best Model) - Loss: 6.5304 - Accuracy: 0.3048 - F1: 0.2864
sub_10:Test (Best Model) - Loss: 6.2341 - Accuracy: 0.2571 - F1: 0.2516
sub_10:Test (Best Model) - Loss: 7.1433 - Accuracy: 0.2667 - F1: 0.2545
sub_10:Test (Best Model) - Loss: 5.5997 - Accuracy: 0.2857 - F1: 0.2814
sub_10:Test (Best Model) - Loss: 6.2011 - Accuracy: 0.2619 - F1: 0.2624
sub_10:Test (Best Model) - Loss: 5.7759 - Accuracy: 0.2667 - F1: 0.2569
sub_10:Test (Best Model) - Loss: 6.9435 - Accuracy: 0.2286 - F1: 0.2144
sub_10:Test (Best Model) - Loss: 5.8402 - Accuracy: 0.2619 - F1: 0.2451
sub_10:Test (Best Model) - Loss: 6.4289 - Accuracy: 0.2571 - F1: 0.2533
sub_10:Test (Best Model) - Loss: 4.6762 - Accuracy: 0.3095 - F1: 0.3094
sub_10:Test (Best Model) - Loss: 5.9526 - Accuracy: 0.3381 - F1: 0.3336
sub_10:Test (Best Model) - Loss: 7.1849 - Accuracy: 0.2095 - F1: 0.2070
sub_10:Test (Best Model) - Loss: 7.2272 - Accuracy: 0.3000 - F1: 0.2923
sub_11:Test (Best Model) - Loss: 7.6599 - Accuracy: 0.2429 - F1: 0.2329
sub_11:Test (Best Model) - Loss: 7.6451 - Accuracy: 0.2333 - F1: 0.2271
sub_11:Test (Best Model) - Loss: 7.3446 - Accuracy: 0.2524 - F1: 0.2387
sub_11:Test (Best Model) - Loss: 8.4944 - Accuracy: 0.2667 - F1: 0.2246
sub_11:Test (Best Model) - Loss: 7.3973 - Accuracy: 0.2714 - F1: 0.2484
sub_11:Test (Best Model) - Loss: 5.5038 - Accuracy: 0.3000 - F1: 0.3020
sub_11:Test (Best Model) - Loss: 6.0514 - Accuracy: 0.2667 - F1: 0.2644
sub_11:Test (Best Model) - Loss: 5.7837 - Accuracy: 0.3000 - F1: 0.3088
sub_11:Test (Best Model) - Loss: 6.0783 - Accuracy: 0.2952 - F1: 0.2926
sub_11:Test (Best Model) - Loss: 7.9156 - Accuracy: 0.2476 - F1: 0.2515
sub_11:Test (Best Model) - Loss: 6.2581 - Accuracy: 0.3190 - F1: 0.3318
sub_11:Test (Best Model) - Loss: 6.4836 - Accuracy: 0.3238 - F1: 0.3122
sub_11:Test (Best Model) - Loss: 6.2076 - Accuracy: 0.3476 - F1: 0.3539
sub_11:Test (Best Model) - Loss: 6.5807 - Accuracy: 0.3000 - F1: 0.3033
sub_11:Test (Best Model) - Loss: 7.4893 - Accuracy: 0.2905 - F1: 0.2985
sub_12:Test (Best Model) - Loss: 5.4237 - Accuracy: 0.2762 - F1: 0.2875
sub_12:Test (Best Model) - Loss: 6.2918 - Accuracy: 0.3000 - F1: 0.2823
sub_12:Test (Best Model) - Loss: 6.5448 - Accuracy: 0.3095 - F1: 0.2706
sub_12:Test (Best Model) - Loss: 5.0910 - Accuracy: 0.3810 - F1: 0.3865
sub_12:Test (Best Model) - Loss: 4.8187 - Accuracy: 0.3143 - F1: 0.3270
sub_12:Test (Best Model) - Loss: 8.3707 - Accuracy: 0.2810 - F1: 0.2249
sub_12:Test (Best Model) - Loss: 8.7108 - Accuracy: 0.3000 - F1: 0.2339
sub_12:Test (Best Model) - Loss: 7.6335 - Accuracy: 0.3000 - F1: 0.2697
sub_12:Test (Best Model) - Loss: 8.4238 - Accuracy: 0.3000 - F1: 0.2404
sub_12:Test (Best Model) - Loss: 8.6272 - Accuracy: 0.3238 - F1: 0.2635
sub_12:Test (Best Model) - Loss: 8.7709 - Accuracy: 0.2381 - F1: 0.2410
sub_12:Test (Best Model) - Loss: 8.2901 - Accuracy: 0.2667 - F1: 0.2797
sub_12:Test (Best Model) - Loss: 10.0964 - Accuracy: 0.2476 - F1: 0.2312
sub_12:Test (Best Model) - Loss: 7.7229 - Accuracy: 0.2524 - F1: 0.2687
sub_12:Test (Best Model) - Loss: 9.5107 - Accuracy: 0.2810 - F1: 0.2974
sub_13:Test (Best Model) - Loss: 6.4011 - Accuracy: 0.2905 - F1: 0.2872
sub_13:Test (Best Model) - Loss: 5.2197 - Accuracy: 0.2619 - F1: 0.2592
sub_13:Test (Best Model) - Loss: 9.5197 - Accuracy: 0.2333 - F1: 0.2162
sub_13:Test (Best Model) - Loss: 5.7706 - Accuracy: 0.2476 - F1: 0.2166
sub_13:Test (Best Model) - Loss: 7.1397 - Accuracy: 0.2810 - F1: 0.2739
sub_13:Test (Best Model) - Loss: 8.2232 - Accuracy: 0.2286 - F1: 0.2197
sub_13:Test (Best Model) - Loss: 8.2421 - Accuracy: 0.1762 - F1: 0.1684
sub_13:Test (Best Model) - Loss: 10.2204 - Accuracy: 0.1905 - F1: 0.1763
sub_13:Test (Best Model) - Loss: 6.1851 - Accuracy: 0.2429 - F1: 0.2381
sub_13:Test (Best Model) - Loss: 9.4019 - Accuracy: 0.2476 - F1: 0.2199
sub_13:Test (Best Model) - Loss: 7.0782 - Accuracy: 0.2667 - F1: 0.2537
sub_13:Test (Best Model) - Loss: 6.1526 - Accuracy: 0.2762 - F1: 0.2651
sub_13:Test (Best Model) - Loss: 7.2716 - Accuracy: 0.2952 - F1: 0.2877
sub_13:Test (Best Model) - Loss: 7.9177 - Accuracy: 0.2476 - F1: 0.2445
sub_13:Test (Best Model) - Loss: 6.8517 - Accuracy: 0.3429 - F1: 0.3397
sub_14:Test (Best Model) - Loss: 9.7888 - Accuracy: 0.2524 - F1: 0.2572
sub_14:Test (Best Model) - Loss: 9.2986 - Accuracy: 0.3048 - F1: 0.3030
sub_14:Test (Best Model) - Loss: 7.7339 - Accuracy: 0.3095 - F1: 0.3329
sub_14:Test (Best Model) - Loss: 10.4253 - Accuracy: 0.2524 - F1: 0.2499
sub_14:Test (Best Model) - Loss: 10.5475 - Accuracy: 0.2381 - F1: 0.2512
sub_14:Test (Best Model) - Loss: 6.4859 - Accuracy: 0.3619 - F1: 0.3532
sub_14:Test (Best Model) - Loss: 7.1771 - Accuracy: 0.3095 - F1: 0.2772
sub_14:Test (Best Model) - Loss: 8.5763 - Accuracy: 0.3238 - F1: 0.2989
sub_14:Test (Best Model) - Loss: 7.2215 - Accuracy: 0.3238 - F1: 0.3109
sub_14:Test (Best Model) - Loss: 6.6537 - Accuracy: 0.3048 - F1: 0.3096
sub_14:Test (Best Model) - Loss: 5.6044 - Accuracy: 0.3381 - F1: 0.3081
sub_14:Test (Best Model) - Loss: 6.0660 - Accuracy: 0.3238 - F1: 0.3223
sub_14:Test (Best Model) - Loss: 7.3955 - Accuracy: 0.3048 - F1: 0.2995
sub_14:Test (Best Model) - Loss: 7.6966 - Accuracy: 0.2905 - F1: 0.2577
sub_14:Test (Best Model) - Loss: 6.5432 - Accuracy: 0.3190 - F1: 0.3039

=== Summary Results ===

acc: 28.48 ± 2.79
F1: 27.39 ± 2.96
acc-in: 34.89 ± 3.64
F1-in: 33.20 ± 3.78
