lr: 0.001
sub_1:Test (Best Model) - Loss: 9.9257 - Accuracy: 0.2571 - F1: 0.1738
sub_1:Test (Best Model) - Loss: 7.7582 - Accuracy: 0.3143 - F1: 0.2631
sub_1:Test (Best Model) - Loss: 10.0333 - Accuracy: 0.3000 - F1: 0.2388
sub_1:Test (Best Model) - Loss: 8.1391 - Accuracy: 0.2619 - F1: 0.2007
sub_1:Test (Best Model) - Loss: 8.0041 - Accuracy: 0.2714 - F1: 0.2072
sub_1:Test (Best Model) - Loss: 4.6881 - Accuracy: 0.2714 - F1: 0.2714
sub_1:Test (Best Model) - Loss: 4.5168 - Accuracy: 0.3190 - F1: 0.3231
sub_1:Test (Best Model) - Loss: 4.8938 - Accuracy: 0.3333 - F1: 0.3279
sub_1:Test (Best Model) - Loss: 6.0148 - Accuracy: 0.2714 - F1: 0.2806
sub_1:Test (Best Model) - Loss: 4.6580 - Accuracy: 0.3143 - F1: 0.3132
sub_1:Test (Best Model) - Loss: 4.5108 - Accuracy: 0.2810 - F1: 0.2862
sub_1:Test (Best Model) - Loss: 4.8952 - Accuracy: 0.2905 - F1: 0.2925
sub_1:Test (Best Model) - Loss: 5.2495 - Accuracy: 0.2714 - F1: 0.2761
sub_1:Test (Best Model) - Loss: 4.5777 - Accuracy: 0.2476 - F1: 0.2465
sub_1:Test (Best Model) - Loss: 5.0934 - Accuracy: 0.3381 - F1: 0.3382
sub_2:Test (Best Model) - Loss: 4.8289 - Accuracy: 0.3476 - F1: 0.3183
sub_2:Test (Best Model) - Loss: 3.9634 - Accuracy: 0.3476 - F1: 0.3145
sub_2:Test (Best Model) - Loss: 4.8444 - Accuracy: 0.3143 - F1: 0.2616
sub_2:Test (Best Model) - Loss: 4.9259 - Accuracy: 0.3524 - F1: 0.3040
sub_2:Test (Best Model) - Loss: 3.6895 - Accuracy: 0.2905 - F1: 0.2526
sub_2:Test (Best Model) - Loss: 5.2718 - Accuracy: 0.3190 - F1: 0.3246
sub_2:Test (Best Model) - Loss: 5.4434 - Accuracy: 0.3000 - F1: 0.3135
sub_2:Test (Best Model) - Loss: 4.9654 - Accuracy: 0.3238 - F1: 0.3289
sub_2:Test (Best Model) - Loss: 8.0266 - Accuracy: 0.3048 - F1: 0.3160
sub_2:Test (Best Model) - Loss: 5.2183 - Accuracy: 0.3048 - F1: 0.3022
sub_2:Test (Best Model) - Loss: 4.4624 - Accuracy: 0.2810 - F1: 0.2912
sub_2:Test (Best Model) - Loss: 4.1081 - Accuracy: 0.3095 - F1: 0.3153
sub_2:Test (Best Model) - Loss: 4.2245 - Accuracy: 0.3000 - F1: 0.3121
sub_2:Test (Best Model) - Loss: 4.9695 - Accuracy: 0.2238 - F1: 0.2306
sub_2:Test (Best Model) - Loss: 4.9689 - Accuracy: 0.2476 - F1: 0.2567
sub_3:Test (Best Model) - Loss: 5.6942 - Accuracy: 0.2143 - F1: 0.1656
sub_3:Test (Best Model) - Loss: 5.6608 - Accuracy: 0.2571 - F1: 0.1976
sub_3:Test (Best Model) - Loss: 5.5322 - Accuracy: 0.2571 - F1: 0.2033
sub_3:Test (Best Model) - Loss: 5.1303 - Accuracy: 0.2952 - F1: 0.2428
sub_3:Test (Best Model) - Loss: 8.6724 - Accuracy: 0.2286 - F1: 0.1212
sub_3:Test (Best Model) - Loss: 4.3880 - Accuracy: 0.2762 - F1: 0.2713
sub_3:Test (Best Model) - Loss: 4.5664 - Accuracy: 0.2476 - F1: 0.2476
sub_3:Test (Best Model) - Loss: 4.6213 - Accuracy: 0.3143 - F1: 0.3176
sub_3:Test (Best Model) - Loss: 4.6049 - Accuracy: 0.3000 - F1: 0.2841
sub_3:Test (Best Model) - Loss: 4.3331 - Accuracy: 0.2714 - F1: 0.2664
sub_3:Test (Best Model) - Loss: 6.6094 - Accuracy: 0.2524 - F1: 0.2422
sub_3:Test (Best Model) - Loss: 5.1822 - Accuracy: 0.2476 - F1: 0.2372
sub_3:Test (Best Model) - Loss: 5.9997 - Accuracy: 0.3000 - F1: 0.2902
sub_3:Test (Best Model) - Loss: 4.8873 - Accuracy: 0.2476 - F1: 0.2492
sub_3:Test (Best Model) - Loss: 5.8947 - Accuracy: 0.2762 - F1: 0.2680
sub_4:Test (Best Model) - Loss: 4.5804 - Accuracy: 0.2857 - F1: 0.2756
sub_4:Test (Best Model) - Loss: 4.9391 - Accuracy: 0.2667 - F1: 0.2669
sub_4:Test (Best Model) - Loss: 4.9304 - Accuracy: 0.2762 - F1: 0.2728
sub_4:Test (Best Model) - Loss: 4.4999 - Accuracy: 0.2857 - F1: 0.2876
sub_4:Test (Best Model) - Loss: 4.4864 - Accuracy: 0.2476 - F1: 0.2536
sub_4:Test (Best Model) - Loss: 6.0396 - Accuracy: 0.2857 - F1: 0.2702
sub_4:Test (Best Model) - Loss: 6.2944 - Accuracy: 0.2524 - F1: 0.2364
sub_4:Test (Best Model) - Loss: 5.9965 - Accuracy: 0.2095 - F1: 0.2016
sub_4:Test (Best Model) - Loss: 5.5873 - Accuracy: 0.2810 - F1: 0.2574
sub_4:Test (Best Model) - Loss: 5.7056 - Accuracy: 0.2857 - F1: 0.2817
sub_4:Test (Best Model) - Loss: 4.4813 - Accuracy: 0.2952 - F1: 0.2933
sub_4:Test (Best Model) - Loss: 4.0870 - Accuracy: 0.3333 - F1: 0.3247
sub_4:Test (Best Model) - Loss: 3.7567 - Accuracy: 0.2810 - F1: 0.2652
sub_4:Test (Best Model) - Loss: 4.5992 - Accuracy: 0.3238 - F1: 0.3057
sub_4:Test (Best Model) - Loss: 5.4225 - Accuracy: 0.3286 - F1: 0.2931
sub_5:Test (Best Model) - Loss: 7.1460 - Accuracy: 0.3429 - F1: 0.2886
sub_5:Test (Best Model) - Loss: 7.9986 - Accuracy: 0.3190 - F1: 0.2539
sub_5:Test (Best Model) - Loss: 5.6311 - Accuracy: 0.3571 - F1: 0.3083
sub_5:Test (Best Model) - Loss: 6.7212 - Accuracy: 0.3095 - F1: 0.2552
sub_5:Test (Best Model) - Loss: 5.4041 - Accuracy: 0.2619 - F1: 0.2174
sub_5:Test (Best Model) - Loss: 4.0501 - Accuracy: 0.3143 - F1: 0.3158
sub_5:Test (Best Model) - Loss: 5.4748 - Accuracy: 0.3048 - F1: 0.3034
sub_5:Test (Best Model) - Loss: 5.1962 - Accuracy: 0.3238 - F1: 0.3308
sub_5:Test (Best Model) - Loss: 4.2228 - Accuracy: 0.3238 - F1: 0.3298
sub_5:Test (Best Model) - Loss: 4.5791 - Accuracy: 0.3190 - F1: 0.3329
sub_5:Test (Best Model) - Loss: 4.7814 - Accuracy: 0.3048 - F1: 0.3201
sub_5:Test (Best Model) - Loss: 5.0049 - Accuracy: 0.2762 - F1: 0.2815
sub_5:Test (Best Model) - Loss: 4.1688 - Accuracy: 0.3190 - F1: 0.3269
sub_5:Test (Best Model) - Loss: 3.7722 - Accuracy: 0.3095 - F1: 0.3269
sub_5:Test (Best Model) - Loss: 3.8283 - Accuracy: 0.3190 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 5.3369 - Accuracy: 0.2238 - F1: 0.2240
sub_6:Test (Best Model) - Loss: 4.5212 - Accuracy: 0.2619 - F1: 0.2600
sub_6:Test (Best Model) - Loss: 5.4215 - Accuracy: 0.2429 - F1: 0.2417
sub_6:Test (Best Model) - Loss: 5.5893 - Accuracy: 0.2333 - F1: 0.2290
sub_6:Test (Best Model) - Loss: 5.2111 - Accuracy: 0.2571 - F1: 0.2608
sub_6:Test (Best Model) - Loss: 6.3518 - Accuracy: 0.2143 - F1: 0.2054
sub_6:Test (Best Model) - Loss: 6.0121 - Accuracy: 0.2476 - F1: 0.2458
sub_6:Test (Best Model) - Loss: 5.2379 - Accuracy: 0.2143 - F1: 0.2062
sub_6:Test (Best Model) - Loss: 5.8721 - Accuracy: 0.2476 - F1: 0.2366
sub_6:Test (Best Model) - Loss: 5.3369 - Accuracy: 0.2905 - F1: 0.2746
sub_6:Test (Best Model) - Loss: 4.2158 - Accuracy: 0.2381 - F1: 0.2337
sub_6:Test (Best Model) - Loss: 4.8072 - Accuracy: 0.2429 - F1: 0.2432
sub_6:Test (Best Model) - Loss: 4.7504 - Accuracy: 0.2619 - F1: 0.2561
sub_6:Test (Best Model) - Loss: 4.4590 - Accuracy: 0.2571 - F1: 0.2537
sub_6:Test (Best Model) - Loss: 4.6837 - Accuracy: 0.2667 - F1: 0.2617
sub_7:Test (Best Model) - Loss: 5.4077 - Accuracy: 0.2095 - F1: 0.1907
sub_7:Test (Best Model) - Loss: 5.2875 - Accuracy: 0.2381 - F1: 0.2390
sub_7:Test (Best Model) - Loss: 5.5969 - Accuracy: 0.2476 - F1: 0.2268
sub_7:Test (Best Model) - Loss: 6.8486 - Accuracy: 0.2095 - F1: 0.1808
sub_7:Test (Best Model) - Loss: 5.7083 - Accuracy: 0.2190 - F1: 0.1989
sub_7:Test (Best Model) - Loss: 5.4399 - Accuracy: 0.2333 - F1: 0.2392
sub_7:Test (Best Model) - Loss: 4.3105 - Accuracy: 0.2571 - F1: 0.2606
sub_7:Test (Best Model) - Loss: 5.6480 - Accuracy: 0.2095 - F1: 0.2104
sub_7:Test (Best Model) - Loss: 5.1693 - Accuracy: 0.2286 - F1: 0.2300
sub_7:Test (Best Model) - Loss: 4.9185 - Accuracy: 0.1952 - F1: 0.1902
sub_7:Test (Best Model) - Loss: 4.8777 - Accuracy: 0.2381 - F1: 0.2315
sub_7:Test (Best Model) - Loss: 4.3243 - Accuracy: 0.2238 - F1: 0.2219
sub_7:Test (Best Model) - Loss: 4.7072 - Accuracy: 0.1714 - F1: 0.1740
sub_7:Test (Best Model) - Loss: 4.5719 - Accuracy: 0.2476 - F1: 0.2456
sub_7:Test (Best Model) - Loss: 4.3430 - Accuracy: 0.2619 - F1: 0.2666
sub_8:Test (Best Model) - Loss: 4.5191 - Accuracy: 0.3810 - F1: 0.3661
sub_8:Test (Best Model) - Loss: 5.1867 - Accuracy: 0.3714 - F1: 0.3442
sub_8:Test (Best Model) - Loss: 4.0899 - Accuracy: 0.3619 - F1: 0.3384
sub_8:Test (Best Model) - Loss: 5.5409 - Accuracy: 0.3095 - F1: 0.3089
sub_8:Test (Best Model) - Loss: 4.4837 - Accuracy: 0.3190 - F1: 0.3110
sub_8:Test (Best Model) - Loss: 5.8271 - Accuracy: 0.2905 - F1: 0.3088
sub_8:Test (Best Model) - Loss: 5.0755 - Accuracy: 0.3286 - F1: 0.3460
sub_8:Test (Best Model) - Loss: 4.7440 - Accuracy: 0.3190 - F1: 0.3277
sub_8:Test (Best Model) - Loss: 5.6667 - Accuracy: 0.2762 - F1: 0.2907
sub_8:Test (Best Model) - Loss: 4.6176 - Accuracy: 0.3190 - F1: 0.3267
sub_8:Test (Best Model) - Loss: 4.5668 - Accuracy: 0.3048 - F1: 0.3187
sub_8:Test (Best Model) - Loss: 4.6635 - Accuracy: 0.3095 - F1: 0.3203
sub_8:Test (Best Model) - Loss: 4.6609 - Accuracy: 0.3095 - F1: 0.3175
sub_8:Test (Best Model) - Loss: 4.6414 - Accuracy: 0.3381 - F1: 0.3416
sub_8:Test (Best Model) - Loss: 5.5635 - Accuracy: 0.3429 - F1: 0.3430
sub_9:Test (Best Model) - Loss: 5.7149 - Accuracy: 0.2286 - F1: 0.2015
sub_9:Test (Best Model) - Loss: 5.2914 - Accuracy: 0.2619 - F1: 0.2526
sub_9:Test (Best Model) - Loss: 5.1283 - Accuracy: 0.2571 - F1: 0.2378
sub_9:Test (Best Model) - Loss: 6.5057 - Accuracy: 0.2714 - F1: 0.2384
sub_9:Test (Best Model) - Loss: 5.8235 - Accuracy: 0.2714 - F1: 0.2494
sub_9:Test (Best Model) - Loss: 5.0313 - Accuracy: 0.2810 - F1: 0.2760
sub_9:Test (Best Model) - Loss: 5.3197 - Accuracy: 0.2286 - F1: 0.2309
sub_9:Test (Best Model) - Loss: 5.3708 - Accuracy: 0.1905 - F1: 0.1881
sub_9:Test (Best Model) - Loss: 4.7215 - Accuracy: 0.3000 - F1: 0.2959
sub_9:Test (Best Model) - Loss: 4.6097 - Accuracy: 0.2619 - F1: 0.2537
sub_9:Test (Best Model) - Loss: 5.6546 - Accuracy: 0.2524 - F1: 0.2523
sub_9:Test (Best Model) - Loss: 4.6384 - Accuracy: 0.2952 - F1: 0.2960
sub_9:Test (Best Model) - Loss: 4.5128 - Accuracy: 0.3190 - F1: 0.3237
sub_9:Test (Best Model) - Loss: 3.9524 - Accuracy: 0.2952 - F1: 0.2984
sub_9:Test (Best Model) - Loss: 4.3745 - Accuracy: 0.3333 - F1: 0.3389
sub_10:Test (Best Model) - Loss: 4.8174 - Accuracy: 0.2190 - F1: 0.2164
sub_10:Test (Best Model) - Loss: 4.7574 - Accuracy: 0.2429 - F1: 0.2365
sub_10:Test (Best Model) - Loss: 5.4119 - Accuracy: 0.2810 - F1: 0.2585
sub_10:Test (Best Model) - Loss: 4.7944 - Accuracy: 0.2619 - F1: 0.2415
sub_10:Test (Best Model) - Loss: 4.3540 - Accuracy: 0.2667 - F1: 0.2623
sub_10:Test (Best Model) - Loss: 4.7311 - Accuracy: 0.2857 - F1: 0.2827
sub_10:Test (Best Model) - Loss: 4.8459 - Accuracy: 0.2476 - F1: 0.2388
sub_10:Test (Best Model) - Loss: 4.9259 - Accuracy: 0.2667 - F1: 0.2615
sub_10:Test (Best Model) - Loss: 4.3471 - Accuracy: 0.2381 - F1: 0.2306
sub_10:Test (Best Model) - Loss: 4.1555 - Accuracy: 0.2905 - F1: 0.2830
sub_10:Test (Best Model) - Loss: 4.8794 - Accuracy: 0.2333 - F1: 0.2300
sub_10:Test (Best Model) - Loss: 5.0271 - Accuracy: 0.2333 - F1: 0.2320
sub_10:Test (Best Model) - Loss: 5.2743 - Accuracy: 0.2857 - F1: 0.2887
sub_10:Test (Best Model) - Loss: 5.1354 - Accuracy: 0.2143 - F1: 0.2105
sub_10:Test (Best Model) - Loss: 5.4379 - Accuracy: 0.2381 - F1: 0.2374
sub_11:Test (Best Model) - Loss: 5.1513 - Accuracy: 0.2143 - F1: 0.2076
sub_11:Test (Best Model) - Loss: 4.8982 - Accuracy: 0.2143 - F1: 0.2123
sub_11:Test (Best Model) - Loss: 5.3274 - Accuracy: 0.2381 - F1: 0.2265
sub_11:Test (Best Model) - Loss: 5.9692 - Accuracy: 0.2333 - F1: 0.2094
sub_11:Test (Best Model) - Loss: 5.9163 - Accuracy: 0.2762 - F1: 0.2645
sub_11:Test (Best Model) - Loss: 4.7656 - Accuracy: 0.2524 - F1: 0.2556
sub_11:Test (Best Model) - Loss: 3.9950 - Accuracy: 0.3000 - F1: 0.3030
sub_11:Test (Best Model) - Loss: 3.2359 - Accuracy: 0.2571 - F1: 0.2678
sub_11:Test (Best Model) - Loss: 5.0612 - Accuracy: 0.2714 - F1: 0.2762
sub_11:Test (Best Model) - Loss: 4.7245 - Accuracy: 0.2905 - F1: 0.2973
sub_11:Test (Best Model) - Loss: 4.8965 - Accuracy: 0.2857 - F1: 0.2875
sub_11:Test (Best Model) - Loss: 4.0803 - Accuracy: 0.3190 - F1: 0.3175
sub_11:Test (Best Model) - Loss: 4.8001 - Accuracy: 0.3048 - F1: 0.3098
sub_11:Test (Best Model) - Loss: 4.5316 - Accuracy: 0.2810 - F1: 0.2799
sub_11:Test (Best Model) - Loss: 4.0224 - Accuracy: 0.3095 - F1: 0.3134
sub_12:Test (Best Model) - Loss: 4.6085 - Accuracy: 0.2476 - F1: 0.2611
sub_12:Test (Best Model) - Loss: 4.3893 - Accuracy: 0.2476 - F1: 0.2562
sub_12:Test (Best Model) - Loss: 4.3127 - Accuracy: 0.3286 - F1: 0.3223
sub_12:Test (Best Model) - Loss: 3.9713 - Accuracy: 0.3286 - F1: 0.3359
sub_12:Test (Best Model) - Loss: 5.3892 - Accuracy: 0.2619 - F1: 0.2715
sub_12:Test (Best Model) - Loss: 9.7217 - Accuracy: 0.2952 - F1: 0.2292
sub_12:Test (Best Model) - Loss: 7.0667 - Accuracy: 0.3048 - F1: 0.2650
sub_12:Test (Best Model) - Loss: 6.4294 - Accuracy: 0.3000 - F1: 0.2442
sub_12:Test (Best Model) - Loss: 9.1145 - Accuracy: 0.3000 - F1: 0.2328
sub_12:Test (Best Model) - Loss: 7.0470 - Accuracy: 0.3286 - F1: 0.2730
sub_12:Test (Best Model) - Loss: 6.5641 - Accuracy: 0.2476 - F1: 0.2539
sub_12:Test (Best Model) - Loss: 6.4532 - Accuracy: 0.2143 - F1: 0.2225
sub_12:Test (Best Model) - Loss: 6.5729 - Accuracy: 0.2381 - F1: 0.2508
sub_12:Test (Best Model) - Loss: 5.5619 - Accuracy: 0.2571 - F1: 0.2688
sub_12:Test (Best Model) - Loss: 7.4245 - Accuracy: 0.2476 - F1: 0.2502
sub_13:Test (Best Model) - Loss: 3.8397 - Accuracy: 0.3143 - F1: 0.3040
sub_13:Test (Best Model) - Loss: 4.1648 - Accuracy: 0.2143 - F1: 0.2091
sub_13:Test (Best Model) - Loss: 5.7692 - Accuracy: 0.2762 - F1: 0.2565
sub_13:Test (Best Model) - Loss: 5.8395 - Accuracy: 0.2667 - F1: 0.2406
sub_13:Test (Best Model) - Loss: 3.5199 - Accuracy: 0.3286 - F1: 0.3101
sub_13:Test (Best Model) - Loss: 6.8634 - Accuracy: 0.2238 - F1: 0.2222
sub_13:Test (Best Model) - Loss: 4.9620 - Accuracy: 0.2429 - F1: 0.2363
sub_13:Test (Best Model) - Loss: 5.6777 - Accuracy: 0.2429 - F1: 0.2438
sub_13:Test (Best Model) - Loss: 5.8933 - Accuracy: 0.2381 - F1: 0.2369
sub_13:Test (Best Model) - Loss: 4.8358 - Accuracy: 0.2810 - F1: 0.2669
sub_13:Test (Best Model) - Loss: 5.9030 - Accuracy: 0.2286 - F1: 0.2176
sub_13:Test (Best Model) - Loss: 4.6222 - Accuracy: 0.2571 - F1: 0.2397
sub_13:Test (Best Model) - Loss: 5.3613 - Accuracy: 0.2238 - F1: 0.2186
sub_13:Test (Best Model) - Loss: 5.2638 - Accuracy: 0.2476 - F1: 0.2321
sub_13:Test (Best Model) - Loss: 5.0169 - Accuracy: 0.2571 - F1: 0.2522
sub_14:Test (Best Model) - Loss: 5.5041 - Accuracy: 0.3238 - F1: 0.3450
sub_14:Test (Best Model) - Loss: 5.7768 - Accuracy: 0.2524 - F1: 0.2620
sub_14:Test (Best Model) - Loss: 5.7542 - Accuracy: 0.3619 - F1: 0.3794
sub_14:Test (Best Model) - Loss: 6.3692 - Accuracy: 0.3048 - F1: 0.3135
sub_14:Test (Best Model) - Loss: 6.9210 - Accuracy: 0.2571 - F1: 0.2511
sub_14:Test (Best Model) - Loss: 4.4412 - Accuracy: 0.3429 - F1: 0.3324
sub_14:Test (Best Model) - Loss: 4.0102 - Accuracy: 0.3619 - F1: 0.3486
sub_14:Test (Best Model) - Loss: 4.6320 - Accuracy: 0.3476 - F1: 0.3391
sub_14:Test (Best Model) - Loss: 4.8731 - Accuracy: 0.3286 - F1: 0.3183
sub_14:Test (Best Model) - Loss: 5.3798 - Accuracy: 0.2952 - F1: 0.2763
sub_14:Test (Best Model) - Loss: 5.3254 - Accuracy: 0.3000 - F1: 0.2749
sub_14:Test (Best Model) - Loss: 4.4900 - Accuracy: 0.3333 - F1: 0.3118
sub_14:Test (Best Model) - Loss: 4.7860 - Accuracy: 0.3381 - F1: 0.2862
sub_14:Test (Best Model) - Loss: 3.9746 - Accuracy: 0.3143 - F1: 0.2802
sub_14:Test (Best Model) - Loss: 5.8161 - Accuracy: 0.2381 - F1: 0.2353

=== Summary Results ===

acc: 27.81 ± 2.76
F1: 26.85 ± 2.86
acc-in: 34.22 ± 3.75
F1-in: 32.96 ± 3.90
