lr: 0.001
sub_1:Test (Best Model) - Loss: 22.0920 - Accuracy: 0.2857 - F1: 0.2141
sub_1:Test (Best Model) - Loss: 14.7514 - Accuracy: 0.3000 - F1: 0.2608
sub_1:Test (Best Model) - Loss: 19.2390 - Accuracy: 0.2571 - F1: 0.2129
sub_1:Test (Best Model) - Loss: 22.0418 - Accuracy: 0.2714 - F1: 0.1934
sub_1:Test (Best Model) - Loss: 21.1997 - Accuracy: 0.2952 - F1: 0.2355
sub_1:Test (Best Model) - Loss: 14.9766 - Accuracy: 0.3190 - F1: 0.2741
sub_1:Test (Best Model) - Loss: 10.2717 - Accuracy: 0.3190 - F1: 0.3132
sub_1:Test (Best Model) - Loss: 11.7128 - Accuracy: 0.2905 - F1: 0.2756
sub_1:Test (Best Model) - Loss: 10.1789 - Accuracy: 0.3619 - F1: 0.3639
sub_1:Test (Best Model) - Loss: 9.3755 - Accuracy: 0.3048 - F1: 0.3055
sub_1:Test (Best Model) - Loss: 8.7171 - Accuracy: 0.3429 - F1: 0.3358
sub_1:Test (Best Model) - Loss: 11.7371 - Accuracy: 0.2714 - F1: 0.2763
sub_1:Test (Best Model) - Loss: 15.1737 - Accuracy: 0.3143 - F1: 0.3058
sub_1:Test (Best Model) - Loss: 12.1447 - Accuracy: 0.2857 - F1: 0.2772
sub_1:Test (Best Model) - Loss: 9.6315 - Accuracy: 0.3095 - F1: 0.3126
sub_2:Test (Best Model) - Loss: 10.2732 - Accuracy: 0.3476 - F1: 0.3217
sub_2:Test (Best Model) - Loss: 7.2946 - Accuracy: 0.4143 - F1: 0.4073
sub_2:Test (Best Model) - Loss: 9.1115 - Accuracy: 0.3333 - F1: 0.2756
sub_2:Test (Best Model) - Loss: 11.0409 - Accuracy: 0.3333 - F1: 0.2578
sub_2:Test (Best Model) - Loss: 12.9661 - Accuracy: 0.3381 - F1: 0.2882
sub_2:Test (Best Model) - Loss: 11.0535 - Accuracy: 0.3667 - F1: 0.3649
sub_2:Test (Best Model) - Loss: 11.5855 - Accuracy: 0.3667 - F1: 0.3705
sub_2:Test (Best Model) - Loss: 13.0991 - Accuracy: 0.3286 - F1: 0.3225
sub_2:Test (Best Model) - Loss: 11.2987 - Accuracy: 0.3857 - F1: 0.3869
sub_2:Test (Best Model) - Loss: 10.0375 - Accuracy: 0.3238 - F1: 0.3291
sub_2:Test (Best Model) - Loss: 8.6560 - Accuracy: 0.3143 - F1: 0.3175
sub_2:Test (Best Model) - Loss: 9.0078 - Accuracy: 0.3667 - F1: 0.3634
sub_2:Test (Best Model) - Loss: 9.2172 - Accuracy: 0.3095 - F1: 0.3177
sub_2:Test (Best Model) - Loss: 13.8166 - Accuracy: 0.3143 - F1: 0.3103
sub_2:Test (Best Model) - Loss: 9.1934 - Accuracy: 0.3619 - F1: 0.3652
sub_3:Test (Best Model) - Loss: 10.1674 - Accuracy: 0.2381 - F1: 0.1808
sub_3:Test (Best Model) - Loss: 11.0694 - Accuracy: 0.2619 - F1: 0.2443
sub_3:Test (Best Model) - Loss: 11.4201 - Accuracy: 0.2857 - F1: 0.2339
sub_3:Test (Best Model) - Loss: 9.4237 - Accuracy: 0.2524 - F1: 0.2299
sub_3:Test (Best Model) - Loss: 25.9324 - Accuracy: 0.2333 - F1: 0.1274
sub_3:Test (Best Model) - Loss: 11.1536 - Accuracy: 0.2952 - F1: 0.2535
sub_3:Test (Best Model) - Loss: 9.0454 - Accuracy: 0.2667 - F1: 0.2730
sub_3:Test (Best Model) - Loss: 11.8530 - Accuracy: 0.3143 - F1: 0.3173
sub_3:Test (Best Model) - Loss: 11.5194 - Accuracy: 0.2810 - F1: 0.2755
sub_3:Test (Best Model) - Loss: 9.6760 - Accuracy: 0.2381 - F1: 0.2347
sub_3:Test (Best Model) - Loss: 15.9432 - Accuracy: 0.2857 - F1: 0.2725
sub_3:Test (Best Model) - Loss: 11.3276 - Accuracy: 0.2333 - F1: 0.2280
sub_3:Test (Best Model) - Loss: 17.3905 - Accuracy: 0.2286 - F1: 0.1746
sub_3:Test (Best Model) - Loss: 17.4040 - Accuracy: 0.2381 - F1: 0.2231
sub_3:Test (Best Model) - Loss: 16.2243 - Accuracy: 0.2429 - F1: 0.1975
sub_4:Test (Best Model) - Loss: 9.2237 - Accuracy: 0.3476 - F1: 0.3460
sub_4:Test (Best Model) - Loss: 11.1575 - Accuracy: 0.2190 - F1: 0.2016
sub_4:Test (Best Model) - Loss: 9.8572 - Accuracy: 0.2619 - F1: 0.2609
sub_4:Test (Best Model) - Loss: 8.5797 - Accuracy: 0.3238 - F1: 0.3264
sub_4:Test (Best Model) - Loss: 10.5706 - Accuracy: 0.2714 - F1: 0.2643
sub_4:Test (Best Model) - Loss: 16.0778 - Accuracy: 0.2476 - F1: 0.2355
sub_4:Test (Best Model) - Loss: 18.8742 - Accuracy: 0.2810 - F1: 0.2744
sub_4:Test (Best Model) - Loss: 14.7514 - Accuracy: 0.2429 - F1: 0.2333
sub_4:Test (Best Model) - Loss: 10.7008 - Accuracy: 0.3048 - F1: 0.3021
sub_4:Test (Best Model) - Loss: 13.4939 - Accuracy: 0.2810 - F1: 0.2543
sub_4:Test (Best Model) - Loss: 8.7664 - Accuracy: 0.3429 - F1: 0.3258
sub_4:Test (Best Model) - Loss: 10.5290 - Accuracy: 0.3571 - F1: 0.3337
sub_4:Test (Best Model) - Loss: 10.3935 - Accuracy: 0.3571 - F1: 0.2939
sub_4:Test (Best Model) - Loss: 11.2829 - Accuracy: 0.3048 - F1: 0.2832
sub_4:Test (Best Model) - Loss: 8.6641 - Accuracy: 0.3714 - F1: 0.3617
sub_5:Test (Best Model) - Loss: 15.3313 - Accuracy: 0.3667 - F1: 0.3180
sub_5:Test (Best Model) - Loss: 17.2835 - Accuracy: 0.2810 - F1: 0.2213
sub_5:Test (Best Model) - Loss: 14.2614 - Accuracy: 0.3381 - F1: 0.2694
sub_5:Test (Best Model) - Loss: 23.3682 - Accuracy: 0.3429 - F1: 0.2997
sub_5:Test (Best Model) - Loss: 12.4618 - Accuracy: 0.3952 - F1: 0.3445
sub_5:Test (Best Model) - Loss: 12.3301 - Accuracy: 0.3000 - F1: 0.3005
sub_5:Test (Best Model) - Loss: 9.7719 - Accuracy: 0.3333 - F1: 0.3373
sub_5:Test (Best Model) - Loss: 9.7012 - Accuracy: 0.3286 - F1: 0.3299
sub_5:Test (Best Model) - Loss: 9.5474 - Accuracy: 0.3095 - F1: 0.3153
sub_5:Test (Best Model) - Loss: 9.5790 - Accuracy: 0.3762 - F1: 0.3730
sub_5:Test (Best Model) - Loss: 10.6073 - Accuracy: 0.2667 - F1: 0.2827
sub_5:Test (Best Model) - Loss: 9.3323 - Accuracy: 0.2714 - F1: 0.2740
sub_5:Test (Best Model) - Loss: 13.0310 - Accuracy: 0.3048 - F1: 0.3216
sub_5:Test (Best Model) - Loss: 13.7400 - Accuracy: 0.3095 - F1: 0.2810
sub_5:Test (Best Model) - Loss: 8.4658 - Accuracy: 0.3190 - F1: 0.3306
sub_6:Test (Best Model) - Loss: 13.3730 - Accuracy: 0.2286 - F1: 0.2242
sub_6:Test (Best Model) - Loss: 11.1720 - Accuracy: 0.2571 - F1: 0.2601
sub_6:Test (Best Model) - Loss: 9.5702 - Accuracy: 0.2667 - F1: 0.2632
sub_6:Test (Best Model) - Loss: 12.3361 - Accuracy: 0.2333 - F1: 0.2231
sub_6:Test (Best Model) - Loss: 11.6052 - Accuracy: 0.2810 - F1: 0.2823
sub_6:Test (Best Model) - Loss: 12.3806 - Accuracy: 0.2571 - F1: 0.2407
sub_6:Test (Best Model) - Loss: 11.2222 - Accuracy: 0.3048 - F1: 0.2963
sub_6:Test (Best Model) - Loss: 17.1648 - Accuracy: 0.2476 - F1: 0.2475
sub_6:Test (Best Model) - Loss: 12.2415 - Accuracy: 0.2286 - F1: 0.2278
sub_6:Test (Best Model) - Loss: 9.9190 - Accuracy: 0.2714 - F1: 0.2548
sub_6:Test (Best Model) - Loss: 8.0245 - Accuracy: 0.3143 - F1: 0.3127
sub_6:Test (Best Model) - Loss: 16.7615 - Accuracy: 0.2238 - F1: 0.1979
sub_6:Test (Best Model) - Loss: 9.7888 - Accuracy: 0.3143 - F1: 0.3165
sub_6:Test (Best Model) - Loss: 8.4293 - Accuracy: 0.2667 - F1: 0.2532
sub_6:Test (Best Model) - Loss: 10.2977 - Accuracy: 0.2381 - F1: 0.2159
sub_7:Test (Best Model) - Loss: 10.5156 - Accuracy: 0.2524 - F1: 0.2376
sub_7:Test (Best Model) - Loss: 14.6858 - Accuracy: 0.2238 - F1: 0.2060
sub_7:Test (Best Model) - Loss: 12.4318 - Accuracy: 0.2143 - F1: 0.1891
sub_7:Test (Best Model) - Loss: 11.0280 - Accuracy: 0.2143 - F1: 0.2014
sub_7:Test (Best Model) - Loss: 14.2940 - Accuracy: 0.2190 - F1: 0.1957
sub_7:Test (Best Model) - Loss: 13.2723 - Accuracy: 0.2524 - F1: 0.2420
sub_7:Test (Best Model) - Loss: 9.8075 - Accuracy: 0.2381 - F1: 0.2397
sub_7:Test (Best Model) - Loss: 10.6869 - Accuracy: 0.2381 - F1: 0.2359
sub_7:Test (Best Model) - Loss: 10.9363 - Accuracy: 0.1714 - F1: 0.1754
sub_7:Test (Best Model) - Loss: 11.3624 - Accuracy: 0.1810 - F1: 0.1751
sub_7:Test (Best Model) - Loss: 8.3773 - Accuracy: 0.2190 - F1: 0.2125
sub_7:Test (Best Model) - Loss: 10.7104 - Accuracy: 0.2905 - F1: 0.2602
sub_7:Test (Best Model) - Loss: 8.5780 - Accuracy: 0.2286 - F1: 0.2097
sub_7:Test (Best Model) - Loss: 9.5586 - Accuracy: 0.2286 - F1: 0.2309
sub_7:Test (Best Model) - Loss: 9.2827 - Accuracy: 0.2190 - F1: 0.2155
sub_8:Test (Best Model) - Loss: 16.1233 - Accuracy: 0.3857 - F1: 0.3491
sub_8:Test (Best Model) - Loss: 10.1386 - Accuracy: 0.3619 - F1: 0.3491
sub_8:Test (Best Model) - Loss: 9.7014 - Accuracy: 0.3286 - F1: 0.3156
sub_8:Test (Best Model) - Loss: 13.4529 - Accuracy: 0.3667 - F1: 0.3442
sub_8:Test (Best Model) - Loss: 12.5360 - Accuracy: 0.3381 - F1: 0.3288
sub_8:Test (Best Model) - Loss: 7.8776 - Accuracy: 0.3476 - F1: 0.3576
sub_8:Test (Best Model) - Loss: 10.3624 - Accuracy: 0.3238 - F1: 0.3343
sub_8:Test (Best Model) - Loss: 10.3547 - Accuracy: 0.3190 - F1: 0.3100
sub_8:Test (Best Model) - Loss: 10.7606 - Accuracy: 0.3143 - F1: 0.3288
sub_8:Test (Best Model) - Loss: 8.7604 - Accuracy: 0.2762 - F1: 0.2738
sub_8:Test (Best Model) - Loss: 16.6798 - Accuracy: 0.3190 - F1: 0.3149
sub_8:Test (Best Model) - Loss: 10.4261 - Accuracy: 0.3286 - F1: 0.3370
sub_8:Test (Best Model) - Loss: 10.2929 - Accuracy: 0.3238 - F1: 0.3244
sub_8:Test (Best Model) - Loss: 8.8734 - Accuracy: 0.3476 - F1: 0.3426
sub_8:Test (Best Model) - Loss: 10.8548 - Accuracy: 0.2905 - F1: 0.2966
sub_9:Test (Best Model) - Loss: 9.5345 - Accuracy: 0.3619 - F1: 0.3368
sub_9:Test (Best Model) - Loss: 13.3966 - Accuracy: 0.3000 - F1: 0.2748
sub_9:Test (Best Model) - Loss: 9.3511 - Accuracy: 0.3524 - F1: 0.3316
sub_9:Test (Best Model) - Loss: 11.5047 - Accuracy: 0.3286 - F1: 0.2961
sub_9:Test (Best Model) - Loss: 11.3748 - Accuracy: 0.3000 - F1: 0.2908
sub_9:Test (Best Model) - Loss: 12.6720 - Accuracy: 0.3143 - F1: 0.2921
sub_9:Test (Best Model) - Loss: 13.3069 - Accuracy: 0.3000 - F1: 0.2930
sub_9:Test (Best Model) - Loss: 10.2383 - Accuracy: 0.3381 - F1: 0.3287
sub_9:Test (Best Model) - Loss: 10.0469 - Accuracy: 0.2619 - F1: 0.2793
sub_9:Test (Best Model) - Loss: 9.1902 - Accuracy: 0.3095 - F1: 0.3036
sub_9:Test (Best Model) - Loss: 10.5284 - Accuracy: 0.2476 - F1: 0.2485
sub_9:Test (Best Model) - Loss: 9.4714 - Accuracy: 0.2952 - F1: 0.2964
sub_9:Test (Best Model) - Loss: 9.9553 - Accuracy: 0.3476 - F1: 0.3431
sub_9:Test (Best Model) - Loss: 15.7943 - Accuracy: 0.2810 - F1: 0.2776
sub_9:Test (Best Model) - Loss: 11.3101 - Accuracy: 0.2857 - F1: 0.2915
sub_10:Test (Best Model) - Loss: 11.9570 - Accuracy: 0.2667 - F1: 0.2651
sub_10:Test (Best Model) - Loss: 11.0947 - Accuracy: 0.3095 - F1: 0.3018
sub_10:Test (Best Model) - Loss: 9.8435 - Accuracy: 0.2667 - F1: 0.2546
sub_10:Test (Best Model) - Loss: 9.3925 - Accuracy: 0.3381 - F1: 0.3244
sub_10:Test (Best Model) - Loss: 8.7932 - Accuracy: 0.3095 - F1: 0.3136
sub_10:Test (Best Model) - Loss: 10.2372 - Accuracy: 0.3143 - F1: 0.2999
sub_10:Test (Best Model) - Loss: 9.1566 - Accuracy: 0.2667 - F1: 0.2415
sub_10:Test (Best Model) - Loss: 10.0145 - Accuracy: 0.2810 - F1: 0.2759
sub_10:Test (Best Model) - Loss: 9.5357 - Accuracy: 0.2333 - F1: 0.2326
sub_10:Test (Best Model) - Loss: 7.9839 - Accuracy: 0.2524 - F1: 0.2495
sub_10:Test (Best Model) - Loss: 8.6098 - Accuracy: 0.2905 - F1: 0.2932
sub_10:Test (Best Model) - Loss: 8.9051 - Accuracy: 0.2667 - F1: 0.2550
sub_10:Test (Best Model) - Loss: 8.7354 - Accuracy: 0.2524 - F1: 0.2114
sub_10:Test (Best Model) - Loss: 11.6597 - Accuracy: 0.2238 - F1: 0.2243
sub_10:Test (Best Model) - Loss: 12.4980 - Accuracy: 0.2381 - F1: 0.2372
sub_11:Test (Best Model) - Loss: 11.8375 - Accuracy: 0.2476 - F1: 0.2438
sub_11:Test (Best Model) - Loss: 10.8475 - Accuracy: 0.2524 - F1: 0.2362
sub_11:Test (Best Model) - Loss: 17.4485 - Accuracy: 0.2333 - F1: 0.1731
sub_11:Test (Best Model) - Loss: 12.3474 - Accuracy: 0.2571 - F1: 0.2240
sub_11:Test (Best Model) - Loss: 10.5264 - Accuracy: 0.2762 - F1: 0.2615
sub_11:Test (Best Model) - Loss: 9.6712 - Accuracy: 0.2952 - F1: 0.2807
sub_11:Test (Best Model) - Loss: 10.3482 - Accuracy: 0.2810 - F1: 0.2753
sub_11:Test (Best Model) - Loss: 9.8754 - Accuracy: 0.3286 - F1: 0.3147
sub_11:Test (Best Model) - Loss: 8.0690 - Accuracy: 0.2952 - F1: 0.3023
sub_11:Test (Best Model) - Loss: 10.9446 - Accuracy: 0.2952 - F1: 0.3029
sub_11:Test (Best Model) - Loss: 17.3684 - Accuracy: 0.3095 - F1: 0.3085
sub_11:Test (Best Model) - Loss: 10.3539 - Accuracy: 0.2286 - F1: 0.2420
sub_11:Test (Best Model) - Loss: 12.5257 - Accuracy: 0.3143 - F1: 0.3172
sub_11:Test (Best Model) - Loss: 11.0708 - Accuracy: 0.3619 - F1: 0.3516
sub_11:Test (Best Model) - Loss: 9.3888 - Accuracy: 0.3381 - F1: 0.3448
sub_12:Test (Best Model) - Loss: 10.1596 - Accuracy: 0.3143 - F1: 0.3268
sub_12:Test (Best Model) - Loss: 12.3140 - Accuracy: 0.3000 - F1: 0.2661
sub_12:Test (Best Model) - Loss: 7.0221 - Accuracy: 0.3190 - F1: 0.3107
sub_12:Test (Best Model) - Loss: 7.8543 - Accuracy: 0.3238 - F1: 0.3277
sub_12:Test (Best Model) - Loss: 8.5965 - Accuracy: 0.3048 - F1: 0.2915
sub_12:Test (Best Model) - Loss: 12.1847 - Accuracy: 0.3048 - F1: 0.2546
sub_12:Test (Best Model) - Loss: 13.9037 - Accuracy: 0.2952 - F1: 0.2342
sub_12:Test (Best Model) - Loss: 18.7407 - Accuracy: 0.3000 - F1: 0.2303
sub_12:Test (Best Model) - Loss: 13.1491 - Accuracy: 0.2905 - F1: 0.2367
sub_12:Test (Best Model) - Loss: 12.5657 - Accuracy: 0.2952 - F1: 0.2341
sub_12:Test (Best Model) - Loss: 11.4469 - Accuracy: 0.2619 - F1: 0.2680
sub_12:Test (Best Model) - Loss: 13.0466 - Accuracy: 0.2810 - F1: 0.2977
sub_12:Test (Best Model) - Loss: 10.8362 - Accuracy: 0.2476 - F1: 0.2589
sub_12:Test (Best Model) - Loss: 15.2919 - Accuracy: 0.2476 - F1: 0.2611
sub_12:Test (Best Model) - Loss: 15.8879 - Accuracy: 0.2333 - F1: 0.2393
sub_13:Test (Best Model) - Loss: 9.2988 - Accuracy: 0.3095 - F1: 0.2957
sub_13:Test (Best Model) - Loss: 10.2790 - Accuracy: 0.2667 - F1: 0.2721
sub_13:Test (Best Model) - Loss: 10.7358 - Accuracy: 0.2571 - F1: 0.2260
sub_13:Test (Best Model) - Loss: 11.0287 - Accuracy: 0.2143 - F1: 0.1944
sub_13:Test (Best Model) - Loss: 10.9476 - Accuracy: 0.2238 - F1: 0.2354
sub_13:Test (Best Model) - Loss: 11.4076 - Accuracy: 0.2238 - F1: 0.2272
sub_13:Test (Best Model) - Loss: 11.6000 - Accuracy: 0.3095 - F1: 0.2788
sub_13:Test (Best Model) - Loss: 11.3115 - Accuracy: 0.2667 - F1: 0.2437
sub_13:Test (Best Model) - Loss: 10.8738 - Accuracy: 0.2476 - F1: 0.2357
sub_13:Test (Best Model) - Loss: 11.6502 - Accuracy: 0.2905 - F1: 0.2882
sub_13:Test (Best Model) - Loss: 10.3379 - Accuracy: 0.3190 - F1: 0.2994
sub_13:Test (Best Model) - Loss: 8.6016 - Accuracy: 0.3000 - F1: 0.2871
sub_13:Test (Best Model) - Loss: 11.6472 - Accuracy: 0.2524 - F1: 0.2230
sub_13:Test (Best Model) - Loss: 11.0711 - Accuracy: 0.2762 - F1: 0.2683
sub_13:Test (Best Model) - Loss: 8.8436 - Accuracy: 0.2476 - F1: 0.2437
sub_14:Test (Best Model) - Loss: 13.2450 - Accuracy: 0.3095 - F1: 0.3274
sub_14:Test (Best Model) - Loss: 13.1564 - Accuracy: 0.2952 - F1: 0.3106
sub_14:Test (Best Model) - Loss: 9.0293 - Accuracy: 0.3286 - F1: 0.3493
sub_14:Test (Best Model) - Loss: 13.5754 - Accuracy: 0.3048 - F1: 0.3183
sub_14:Test (Best Model) - Loss: 16.3359 - Accuracy: 0.2667 - F1: 0.2598
sub_14:Test (Best Model) - Loss: 12.8830 - Accuracy: 0.3619 - F1: 0.3424
sub_14:Test (Best Model) - Loss: 9.9333 - Accuracy: 0.3381 - F1: 0.3165
sub_14:Test (Best Model) - Loss: 12.6204 - Accuracy: 0.3619 - F1: 0.3422
sub_14:Test (Best Model) - Loss: 12.2116 - Accuracy: 0.3333 - F1: 0.3191
sub_14:Test (Best Model) - Loss: 9.8024 - Accuracy: 0.2810 - F1: 0.2752
sub_14:Test (Best Model) - Loss: 11.5071 - Accuracy: 0.3667 - F1: 0.3368
sub_14:Test (Best Model) - Loss: 9.3448 - Accuracy: 0.2762 - F1: 0.2534
sub_14:Test (Best Model) - Loss: 10.0284 - Accuracy: 0.3143 - F1: 0.3020
sub_14:Test (Best Model) - Loss: 12.2867 - Accuracy: 0.3571 - F1: 0.3375
sub_14:Test (Best Model) - Loss: 13.3754 - Accuracy: 0.3143 - F1: 0.2883

=== Summary Results ===

acc: 29.27 ± 3.17
F1: 27.93 ± 3.32
acc-in: 36.16 ± 3.73
F1-in: 33.57 ± 3.83
