lr: 0.001
sub_1:Test (Best Model) - Loss: 4.1455 - Accuracy: 0.2619 - F1: 0.2091
sub_1:Test (Best Model) - Loss: 4.6643 - Accuracy: 0.2810 - F1: 0.2213
sub_1:Test (Best Model) - Loss: 4.6403 - Accuracy: 0.3048 - F1: 0.2499
sub_1:Test (Best Model) - Loss: 4.3678 - Accuracy: 0.2667 - F1: 0.2171
sub_1:Test (Best Model) - Loss: 4.2389 - Accuracy: 0.2810 - F1: 0.2432
sub_1:Test (Best Model) - Loss: 3.3350 - Accuracy: 0.2952 - F1: 0.2979
sub_1:Test (Best Model) - Loss: 3.7634 - Accuracy: 0.3190 - F1: 0.3182
sub_1:Test (Best Model) - Loss: 3.1179 - Accuracy: 0.3429 - F1: 0.3412
sub_1:Test (Best Model) - Loss: 3.5208 - Accuracy: 0.3000 - F1: 0.3046
sub_1:Test (Best Model) - Loss: 3.5188 - Accuracy: 0.2857 - F1: 0.2848
sub_1:Test (Best Model) - Loss: 3.2035 - Accuracy: 0.3000 - F1: 0.3056
sub_1:Test (Best Model) - Loss: 3.6983 - Accuracy: 0.2762 - F1: 0.2772
sub_1:Test (Best Model) - Loss: 3.0769 - Accuracy: 0.3190 - F1: 0.3267
sub_1:Test (Best Model) - Loss: 3.6493 - Accuracy: 0.2476 - F1: 0.2602
sub_1:Test (Best Model) - Loss: 3.4973 - Accuracy: 0.2810 - F1: 0.2850
sub_2:Test (Best Model) - Loss: 2.9196 - Accuracy: 0.3190 - F1: 0.3010
sub_2:Test (Best Model) - Loss: 3.4940 - Accuracy: 0.3190 - F1: 0.3042
sub_2:Test (Best Model) - Loss: 3.4648 - Accuracy: 0.2571 - F1: 0.2376
sub_2:Test (Best Model) - Loss: 3.1085 - Accuracy: 0.3238 - F1: 0.2863
sub_2:Test (Best Model) - Loss: 3.8571 - Accuracy: 0.2810 - F1: 0.2118
sub_2:Test (Best Model) - Loss: 3.9262 - Accuracy: 0.2905 - F1: 0.2955
sub_2:Test (Best Model) - Loss: 3.3391 - Accuracy: 0.2619 - F1: 0.2682
sub_2:Test (Best Model) - Loss: 4.0360 - Accuracy: 0.2619 - F1: 0.2530
sub_2:Test (Best Model) - Loss: 3.5588 - Accuracy: 0.2714 - F1: 0.2743
sub_2:Test (Best Model) - Loss: 3.2675 - Accuracy: 0.2762 - F1: 0.2811
sub_2:Test (Best Model) - Loss: 3.5074 - Accuracy: 0.2571 - F1: 0.2660
sub_2:Test (Best Model) - Loss: 3.4720 - Accuracy: 0.2714 - F1: 0.2795
sub_2:Test (Best Model) - Loss: 3.5627 - Accuracy: 0.2619 - F1: 0.2632
sub_2:Test (Best Model) - Loss: 3.1979 - Accuracy: 0.2143 - F1: 0.2158
sub_2:Test (Best Model) - Loss: 3.5190 - Accuracy: 0.2571 - F1: 0.2537
sub_3:Test (Best Model) - Loss: 3.9356 - Accuracy: 0.2571 - F1: 0.2231
sub_3:Test (Best Model) - Loss: 3.2533 - Accuracy: 0.2619 - F1: 0.2000
sub_3:Test (Best Model) - Loss: 4.4796 - Accuracy: 0.2857 - F1: 0.2303
sub_3:Test (Best Model) - Loss: 3.2505 - Accuracy: 0.2286 - F1: 0.1884
sub_3:Test (Best Model) - Loss: 3.6221 - Accuracy: 0.2429 - F1: 0.1801
sub_3:Test (Best Model) - Loss: 3.3259 - Accuracy: 0.2286 - F1: 0.2362
sub_3:Test (Best Model) - Loss: 3.3229 - Accuracy: 0.2524 - F1: 0.2532
sub_3:Test (Best Model) - Loss: 3.3393 - Accuracy: 0.2905 - F1: 0.2802
sub_3:Test (Best Model) - Loss: 3.1173 - Accuracy: 0.3000 - F1: 0.2963
sub_3:Test (Best Model) - Loss: 3.5473 - Accuracy: 0.2476 - F1: 0.2449
sub_3:Test (Best Model) - Loss: 3.8653 - Accuracy: 0.2476 - F1: 0.2457
sub_3:Test (Best Model) - Loss: 3.5128 - Accuracy: 0.2619 - F1: 0.2579
sub_3:Test (Best Model) - Loss: 3.9565 - Accuracy: 0.2524 - F1: 0.2362
sub_3:Test (Best Model) - Loss: 4.3029 - Accuracy: 0.2476 - F1: 0.2453
sub_3:Test (Best Model) - Loss: 3.9606 - Accuracy: 0.2476 - F1: 0.2491
sub_4:Test (Best Model) - Loss: 3.4605 - Accuracy: 0.2143 - F1: 0.2091
sub_4:Test (Best Model) - Loss: 3.9282 - Accuracy: 0.2143 - F1: 0.2116
sub_4:Test (Best Model) - Loss: 4.4156 - Accuracy: 0.1714 - F1: 0.1684
sub_4:Test (Best Model) - Loss: 3.7948 - Accuracy: 0.2810 - F1: 0.2812
sub_4:Test (Best Model) - Loss: 3.6246 - Accuracy: 0.2238 - F1: 0.2222
sub_4:Test (Best Model) - Loss: 3.9456 - Accuracy: 0.2714 - F1: 0.2734
sub_4:Test (Best Model) - Loss: 4.5292 - Accuracy: 0.2810 - F1: 0.2758
sub_4:Test (Best Model) - Loss: 4.3382 - Accuracy: 0.2476 - F1: 0.2425
sub_4:Test (Best Model) - Loss: 4.1674 - Accuracy: 0.2714 - F1: 0.2683
sub_4:Test (Best Model) - Loss: 3.4210 - Accuracy: 0.2952 - F1: 0.2942
sub_4:Test (Best Model) - Loss: 3.5281 - Accuracy: 0.2571 - F1: 0.2584
sub_4:Test (Best Model) - Loss: 4.0839 - Accuracy: 0.2524 - F1: 0.2496
sub_4:Test (Best Model) - Loss: 3.9165 - Accuracy: 0.2714 - F1: 0.2568
sub_4:Test (Best Model) - Loss: 4.4970 - Accuracy: 0.2238 - F1: 0.2080
sub_4:Test (Best Model) - Loss: 3.6740 - Accuracy: 0.2714 - F1: 0.2697
sub_5:Test (Best Model) - Loss: 4.1814 - Accuracy: 0.3143 - F1: 0.2736
sub_5:Test (Best Model) - Loss: 3.7393 - Accuracy: 0.3190 - F1: 0.2833
sub_5:Test (Best Model) - Loss: 3.4464 - Accuracy: 0.3524 - F1: 0.3244
sub_5:Test (Best Model) - Loss: 4.1724 - Accuracy: 0.2714 - F1: 0.2375
sub_5:Test (Best Model) - Loss: 3.7877 - Accuracy: 0.2667 - F1: 0.2351
sub_5:Test (Best Model) - Loss: 3.2357 - Accuracy: 0.2619 - F1: 0.2671
sub_5:Test (Best Model) - Loss: 3.5133 - Accuracy: 0.2238 - F1: 0.2207
sub_5:Test (Best Model) - Loss: 3.3741 - Accuracy: 0.2714 - F1: 0.2783
sub_5:Test (Best Model) - Loss: 3.3453 - Accuracy: 0.3000 - F1: 0.3090
sub_5:Test (Best Model) - Loss: 3.0360 - Accuracy: 0.2619 - F1: 0.2639
sub_5:Test (Best Model) - Loss: 2.8652 - Accuracy: 0.2333 - F1: 0.2410
sub_5:Test (Best Model) - Loss: 3.2365 - Accuracy: 0.2952 - F1: 0.3024
sub_5:Test (Best Model) - Loss: 3.2050 - Accuracy: 0.2857 - F1: 0.2922
sub_5:Test (Best Model) - Loss: 2.6702 - Accuracy: 0.2476 - F1: 0.2593
sub_5:Test (Best Model) - Loss: 3.0760 - Accuracy: 0.2571 - F1: 0.2721
sub_6:Test (Best Model) - Loss: 4.2073 - Accuracy: 0.2000 - F1: 0.1920
sub_6:Test (Best Model) - Loss: 3.3875 - Accuracy: 0.2143 - F1: 0.2113
sub_6:Test (Best Model) - Loss: 3.9694 - Accuracy: 0.1810 - F1: 0.1815
sub_6:Test (Best Model) - Loss: 3.6125 - Accuracy: 0.2000 - F1: 0.1987
sub_6:Test (Best Model) - Loss: 3.7895 - Accuracy: 0.2429 - F1: 0.2350
sub_6:Test (Best Model) - Loss: 4.1413 - Accuracy: 0.1952 - F1: 0.1922
sub_6:Test (Best Model) - Loss: 4.4706 - Accuracy: 0.1857 - F1: 0.1852
sub_6:Test (Best Model) - Loss: 3.6738 - Accuracy: 0.2048 - F1: 0.2003
sub_6:Test (Best Model) - Loss: 4.2877 - Accuracy: 0.2000 - F1: 0.1989
sub_6:Test (Best Model) - Loss: 3.8957 - Accuracy: 0.2381 - F1: 0.2385
sub_6:Test (Best Model) - Loss: 3.4038 - Accuracy: 0.2524 - F1: 0.2514
sub_6:Test (Best Model) - Loss: 3.8999 - Accuracy: 0.2095 - F1: 0.2098
sub_6:Test (Best Model) - Loss: 3.5201 - Accuracy: 0.2810 - F1: 0.2764
sub_6:Test (Best Model) - Loss: 3.8375 - Accuracy: 0.2143 - F1: 0.2073
sub_6:Test (Best Model) - Loss: 3.4495 - Accuracy: 0.2667 - F1: 0.2669
sub_7:Test (Best Model) - Loss: 3.9458 - Accuracy: 0.2095 - F1: 0.2081
sub_7:Test (Best Model) - Loss: 4.5344 - Accuracy: 0.2286 - F1: 0.2238
sub_7:Test (Best Model) - Loss: 3.2732 - Accuracy: 0.2429 - F1: 0.2422
sub_7:Test (Best Model) - Loss: 3.5102 - Accuracy: 0.2381 - F1: 0.2349
sub_7:Test (Best Model) - Loss: 3.6850 - Accuracy: 0.2333 - F1: 0.2236
sub_7:Test (Best Model) - Loss: 3.4850 - Accuracy: 0.2571 - F1: 0.2547
sub_7:Test (Best Model) - Loss: 3.4298 - Accuracy: 0.2286 - F1: 0.2258
sub_7:Test (Best Model) - Loss: 4.1856 - Accuracy: 0.2333 - F1: 0.2343
sub_7:Test (Best Model) - Loss: 3.5501 - Accuracy: 0.2333 - F1: 0.2272
sub_7:Test (Best Model) - Loss: 3.3818 - Accuracy: 0.2286 - F1: 0.2274
sub_7:Test (Best Model) - Loss: 2.6661 - Accuracy: 0.2095 - F1: 0.2120
sub_7:Test (Best Model) - Loss: 3.4265 - Accuracy: 0.2476 - F1: 0.2441
sub_7:Test (Best Model) - Loss: 3.0368 - Accuracy: 0.2381 - F1: 0.2341
sub_7:Test (Best Model) - Loss: 3.0872 - Accuracy: 0.2381 - F1: 0.2324
sub_7:Test (Best Model) - Loss: 2.9846 - Accuracy: 0.1762 - F1: 0.1727
sub_8:Test (Best Model) - Loss: 3.6874 - Accuracy: 0.3429 - F1: 0.3403
sub_8:Test (Best Model) - Loss: 3.4317 - Accuracy: 0.3048 - F1: 0.2954
sub_8:Test (Best Model) - Loss: 3.3980 - Accuracy: 0.3048 - F1: 0.2952
sub_8:Test (Best Model) - Loss: 3.0347 - Accuracy: 0.2952 - F1: 0.2859
sub_8:Test (Best Model) - Loss: 3.2277 - Accuracy: 0.3048 - F1: 0.2958
sub_8:Test (Best Model) - Loss: 3.5283 - Accuracy: 0.3190 - F1: 0.3307
sub_8:Test (Best Model) - Loss: 3.4091 - Accuracy: 0.2857 - F1: 0.2977
sub_8:Test (Best Model) - Loss: 3.8171 - Accuracy: 0.3238 - F1: 0.3266
sub_8:Test (Best Model) - Loss: 3.2198 - Accuracy: 0.3333 - F1: 0.3435
sub_8:Test (Best Model) - Loss: 3.1296 - Accuracy: 0.2762 - F1: 0.2892
sub_8:Test (Best Model) - Loss: 3.9937 - Accuracy: 0.2857 - F1: 0.2994
sub_8:Test (Best Model) - Loss: 3.6516 - Accuracy: 0.2905 - F1: 0.3042
sub_8:Test (Best Model) - Loss: 3.7012 - Accuracy: 0.2952 - F1: 0.3107
sub_8:Test (Best Model) - Loss: 3.5755 - Accuracy: 0.3048 - F1: 0.3125
sub_8:Test (Best Model) - Loss: 3.9413 - Accuracy: 0.3048 - F1: 0.3110
sub_9:Test (Best Model) - Loss: 4.4570 - Accuracy: 0.1857 - F1: 0.1797
sub_9:Test (Best Model) - Loss: 4.3383 - Accuracy: 0.2095 - F1: 0.2085
sub_9:Test (Best Model) - Loss: 3.9952 - Accuracy: 0.2619 - F1: 0.2543
sub_9:Test (Best Model) - Loss: 4.0525 - Accuracy: 0.1952 - F1: 0.1863
sub_9:Test (Best Model) - Loss: 3.9744 - Accuracy: 0.2095 - F1: 0.2045
sub_9:Test (Best Model) - Loss: 3.6847 - Accuracy: 0.2048 - F1: 0.2037
sub_9:Test (Best Model) - Loss: 4.4200 - Accuracy: 0.2333 - F1: 0.2302
sub_9:Test (Best Model) - Loss: 4.1072 - Accuracy: 0.1667 - F1: 0.1700
sub_9:Test (Best Model) - Loss: 4.0180 - Accuracy: 0.2095 - F1: 0.2119
sub_9:Test (Best Model) - Loss: 3.6622 - Accuracy: 0.2333 - F1: 0.2228
sub_9:Test (Best Model) - Loss: 3.5843 - Accuracy: 0.2238 - F1: 0.2282
sub_9:Test (Best Model) - Loss: 3.5575 - Accuracy: 0.2810 - F1: 0.2831
sub_9:Test (Best Model) - Loss: 4.1445 - Accuracy: 0.2714 - F1: 0.2751
sub_9:Test (Best Model) - Loss: 3.3550 - Accuracy: 0.2762 - F1: 0.2840
sub_9:Test (Best Model) - Loss: 3.9597 - Accuracy: 0.2571 - F1: 0.2593
sub_10:Test (Best Model) - Loss: 3.7529 - Accuracy: 0.2143 - F1: 0.2092
sub_10:Test (Best Model) - Loss: 3.2912 - Accuracy: 0.2286 - F1: 0.2250
sub_10:Test (Best Model) - Loss: 3.7071 - Accuracy: 0.2143 - F1: 0.2087
sub_10:Test (Best Model) - Loss: 3.3307 - Accuracy: 0.1952 - F1: 0.1911
sub_10:Test (Best Model) - Loss: 3.3142 - Accuracy: 0.2333 - F1: 0.2177
sub_10:Test (Best Model) - Loss: 3.3822 - Accuracy: 0.2476 - F1: 0.2398
sub_10:Test (Best Model) - Loss: 3.2517 - Accuracy: 0.2429 - F1: 0.2413
sub_10:Test (Best Model) - Loss: 3.4949 - Accuracy: 0.2238 - F1: 0.2173
sub_10:Test (Best Model) - Loss: 2.9907 - Accuracy: 0.2476 - F1: 0.2494
sub_10:Test (Best Model) - Loss: 3.5375 - Accuracy: 0.1952 - F1: 0.1919
sub_10:Test (Best Model) - Loss: 3.5267 - Accuracy: 0.2714 - F1: 0.2641
sub_10:Test (Best Model) - Loss: 3.7342 - Accuracy: 0.2381 - F1: 0.2376
sub_10:Test (Best Model) - Loss: 4.1898 - Accuracy: 0.2000 - F1: 0.1925
sub_10:Test (Best Model) - Loss: 4.0722 - Accuracy: 0.2524 - F1: 0.2504
sub_10:Test (Best Model) - Loss: 4.0903 - Accuracy: 0.2238 - F1: 0.2241
sub_11:Test (Best Model) - Loss: 4.1037 - Accuracy: 0.2000 - F1: 0.1943
sub_11:Test (Best Model) - Loss: 4.1342 - Accuracy: 0.2333 - F1: 0.2280
sub_11:Test (Best Model) - Loss: 4.1726 - Accuracy: 0.1905 - F1: 0.1880
sub_11:Test (Best Model) - Loss: 4.6194 - Accuracy: 0.1952 - F1: 0.1908
sub_11:Test (Best Model) - Loss: 4.2491 - Accuracy: 0.2429 - F1: 0.2339
sub_11:Test (Best Model) - Loss: 3.5060 - Accuracy: 0.2571 - F1: 0.2558
sub_11:Test (Best Model) - Loss: 3.8503 - Accuracy: 0.2429 - F1: 0.2439
sub_11:Test (Best Model) - Loss: 3.7865 - Accuracy: 0.2571 - F1: 0.2608
sub_11:Test (Best Model) - Loss: 3.6439 - Accuracy: 0.2952 - F1: 0.2963
sub_11:Test (Best Model) - Loss: 4.3337 - Accuracy: 0.2762 - F1: 0.2772
sub_11:Test (Best Model) - Loss: 3.4938 - Accuracy: 0.3048 - F1: 0.3048
sub_11:Test (Best Model) - Loss: 3.5615 - Accuracy: 0.3190 - F1: 0.3154
sub_11:Test (Best Model) - Loss: 3.2657 - Accuracy: 0.3000 - F1: 0.3029
sub_11:Test (Best Model) - Loss: 3.2077 - Accuracy: 0.2810 - F1: 0.2802
sub_11:Test (Best Model) - Loss: 3.4512 - Accuracy: 0.2667 - F1: 0.2620
sub_12:Test (Best Model) - Loss: 3.3549 - Accuracy: 0.2333 - F1: 0.2445
sub_12:Test (Best Model) - Loss: 3.1813 - Accuracy: 0.2524 - F1: 0.2618
sub_12:Test (Best Model) - Loss: 2.9217 - Accuracy: 0.3143 - F1: 0.3136
sub_12:Test (Best Model) - Loss: 2.9193 - Accuracy: 0.2952 - F1: 0.3043
sub_12:Test (Best Model) - Loss: 3.5838 - Accuracy: 0.2143 - F1: 0.2193
sub_12:Test (Best Model) - Loss: 4.3549 - Accuracy: 0.3095 - F1: 0.2686
sub_12:Test (Best Model) - Loss: 4.1861 - Accuracy: 0.2667 - F1: 0.2179
sub_12:Test (Best Model) - Loss: 4.4814 - Accuracy: 0.2667 - F1: 0.2180
sub_12:Test (Best Model) - Loss: 4.4885 - Accuracy: 0.2857 - F1: 0.2266
sub_12:Test (Best Model) - Loss: 4.1175 - Accuracy: 0.2571 - F1: 0.2042
sub_12:Test (Best Model) - Loss: 4.3931 - Accuracy: 0.2286 - F1: 0.2345
sub_12:Test (Best Model) - Loss: 5.3348 - Accuracy: 0.2333 - F1: 0.2434
sub_12:Test (Best Model) - Loss: 4.5813 - Accuracy: 0.2190 - F1: 0.2271
sub_12:Test (Best Model) - Loss: 4.4663 - Accuracy: 0.2333 - F1: 0.2373
sub_12:Test (Best Model) - Loss: 5.6367 - Accuracy: 0.2190 - F1: 0.2290
sub_13:Test (Best Model) - Loss: 3.6205 - Accuracy: 0.2476 - F1: 0.2392
sub_13:Test (Best Model) - Loss: 2.9782 - Accuracy: 0.2476 - F1: 0.2426
sub_13:Test (Best Model) - Loss: 3.4467 - Accuracy: 0.2571 - F1: 0.2523
sub_13:Test (Best Model) - Loss: 3.1938 - Accuracy: 0.2143 - F1: 0.2212
sub_13:Test (Best Model) - Loss: 3.6423 - Accuracy: 0.2667 - F1: 0.2615
sub_13:Test (Best Model) - Loss: 3.8397 - Accuracy: 0.2095 - F1: 0.2102
sub_13:Test (Best Model) - Loss: 3.8527 - Accuracy: 0.2476 - F1: 0.2476
sub_13:Test (Best Model) - Loss: 4.3627 - Accuracy: 0.2571 - F1: 0.2602
sub_13:Test (Best Model) - Loss: 3.6771 - Accuracy: 0.2000 - F1: 0.2043
sub_13:Test (Best Model) - Loss: 3.7814 - Accuracy: 0.2476 - F1: 0.2496
sub_13:Test (Best Model) - Loss: 3.4459 - Accuracy: 0.2143 - F1: 0.2100
sub_13:Test (Best Model) - Loss: 3.5755 - Accuracy: 0.2810 - F1: 0.2785
sub_13:Test (Best Model) - Loss: 4.1230 - Accuracy: 0.2381 - F1: 0.2218
sub_13:Test (Best Model) - Loss: 3.4099 - Accuracy: 0.2762 - F1: 0.2617
sub_13:Test (Best Model) - Loss: 3.7486 - Accuracy: 0.2429 - F1: 0.2267
sub_14:Test (Best Model) - Loss: 4.2409 - Accuracy: 0.2429 - F1: 0.2563
sub_14:Test (Best Model) - Loss: 4.2985 - Accuracy: 0.2524 - F1: 0.2643
sub_14:Test (Best Model) - Loss: 3.8786 - Accuracy: 0.2952 - F1: 0.3026
sub_14:Test (Best Model) - Loss: 4.4913 - Accuracy: 0.3000 - F1: 0.3031
sub_14:Test (Best Model) - Loss: 3.6879 - Accuracy: 0.2571 - F1: 0.2626
sub_14:Test (Best Model) - Loss: 3.8000 - Accuracy: 0.3381 - F1: 0.3309
sub_14:Test (Best Model) - Loss: 4.0756 - Accuracy: 0.2952 - F1: 0.2860
sub_14:Test (Best Model) - Loss: 2.8807 - Accuracy: 0.3095 - F1: 0.3012
sub_14:Test (Best Model) - Loss: 3.1993 - Accuracy: 0.2952 - F1: 0.2914
sub_14:Test (Best Model) - Loss: 3.1400 - Accuracy: 0.2524 - F1: 0.2522
sub_14:Test (Best Model) - Loss: 3.1292 - Accuracy: 0.2952 - F1: 0.2871
sub_14:Test (Best Model) - Loss: 2.9716 - Accuracy: 0.2762 - F1: 0.2664
sub_14:Test (Best Model) - Loss: 3.7217 - Accuracy: 0.2667 - F1: 0.2527
sub_14:Test (Best Model) - Loss: 3.2986 - Accuracy: 0.2524 - F1: 0.2468
sub_14:Test (Best Model) - Loss: 3.6243 - Accuracy: 0.2810 - F1: 0.2675

=== Summary Results ===

acc: 25.69 ± 2.51
F1: 25.11 ± 2.52
acc-in: 30.26 ± 3.21
F1-in: 29.82 ± 3.18
