lr: 0.001
sub_12:Test (Best Model) - Loss: 1.3779 - Accuracy: 0.3524 - F1: 0.2474
sub_3:Test (Best Model) - Loss: 5.0460 - Accuracy: 0.2286 - F1: 0.1118
sub_6:Test (Best Model) - Loss: 1.3195 - Accuracy: 0.3667 - F1: 0.2560
sub_10:Test (Best Model) - Loss: 1.8445 - Accuracy: 0.3476 - F1: 0.2299
sub_4:Test (Best Model) - Loss: 2.0657 - Accuracy: 0.3476 - F1: 0.2541
sub_5:Test (Best Model) - Loss: 2.4410 - Accuracy: 0.2524 - F1: 0.1526
sub_13:Test (Best Model) - Loss: 2.3033 - Accuracy: 0.2524 - F1: 0.1324
sub_8:Test (Best Model) - Loss: 1.2837 - Accuracy: 0.3667 - F1: 0.2545
sub_9:Test (Best Model) - Loss: 1.2112 - Accuracy: 0.4048 - F1: 0.2962
sub_1:Test (Best Model) - Loss: 4.0517 - Accuracy: 0.2810 - F1: 0.1716
sub_10:Test (Best Model) - Loss: 1.5282 - Accuracy: 0.3429 - F1: 0.2426
sub_5:Test (Best Model) - Loss: 3.0009 - Accuracy: 0.3524 - F1: 0.2368
sub_2:Test (Best Model) - Loss: 3.6411 - Accuracy: 0.3524 - F1: 0.2221
sub_3:Test (Best Model) - Loss: 1.7694 - Accuracy: 0.3667 - F1: 0.2247
sub_8:Test (Best Model) - Loss: 1.4888 - Accuracy: 0.3476 - F1: 0.2431
sub_13:Test (Best Model) - Loss: 1.4834 - Accuracy: 0.2762 - F1: 0.1834
sub_14:Test (Best Model) - Loss: 1.6394 - Accuracy: 0.4571 - F1: 0.3800
sub_11:Test (Best Model) - Loss: 1.1657 - Accuracy: 0.4714 - F1: 0.4227
sub_9:Test (Best Model) - Loss: 1.3531 - Accuracy: 0.3952 - F1: 0.2622
sub_6:Test (Best Model) - Loss: 1.2403 - Accuracy: 0.4000 - F1: 0.3430
sub_12:Test (Best Model) - Loss: 1.3555 - Accuracy: 0.3571 - F1: 0.2496
sub_1:Test (Best Model) - Loss: 2.9831 - Accuracy: 0.3667 - F1: 0.2664
sub_7:Test (Best Model) - Loss: 1.4462 - Accuracy: 0.3429 - F1: 0.2300
sub_5:Test (Best Model) - Loss: 3.1704 - Accuracy: 0.3143 - F1: 0.2218
sub_10:Test (Best Model) - Loss: 2.0967 - Accuracy: 0.3857 - F1: 0.2395
sub_3:Test (Best Model) - Loss: 4.7273 - Accuracy: 0.2286 - F1: 0.1105
sub_14:Test (Best Model) - Loss: 1.5122 - Accuracy: 0.3095 - F1: 0.3012
sub_13:Test (Best Model) - Loss: 1.5766 - Accuracy: 0.4000 - F1: 0.2657
sub_8:Test (Best Model) - Loss: 1.6340 - Accuracy: 0.3714 - F1: 0.2464
sub_11:Test (Best Model) - Loss: 1.3021 - Accuracy: 0.4143 - F1: 0.3600
sub_6:Test (Best Model) - Loss: 1.2985 - Accuracy: 0.4048 - F1: 0.2905
sub_2:Test (Best Model) - Loss: 1.6107 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 1.3715 - Accuracy: 0.3476 - F1: 0.2446
sub_9:Test (Best Model) - Loss: 1.4114 - Accuracy: 0.4143 - F1: 0.3111
sub_1:Test (Best Model) - Loss: 4.7036 - Accuracy: 0.2714 - F1: 0.1718
sub_4:Test (Best Model) - Loss: 1.9091 - Accuracy: 0.4381 - F1: 0.3633
sub_7:Test (Best Model) - Loss: 1.6263 - Accuracy: 0.3238 - F1: 0.2300
sub_3:Test (Best Model) - Loss: 1.7231 - Accuracy: 0.2048 - F1: 0.0762
sub_13:Test (Best Model) - Loss: 2.0628 - Accuracy: 0.3238 - F1: 0.1837
sub_8:Test (Best Model) - Loss: 2.2772 - Accuracy: 0.3619 - F1: 0.2247
sub_11:Test (Best Model) - Loss: 1.4241 - Accuracy: 0.3381 - F1: 0.2067
sub_2:Test (Best Model) - Loss: 3.0998 - Accuracy: 0.3619 - F1: 0.2452
sub_6:Test (Best Model) - Loss: 2.0019 - Accuracy: 0.3095 - F1: 0.1897
sub_10:Test (Best Model) - Loss: 2.1470 - Accuracy: 0.3048 - F1: 0.1708
sub_12:Test (Best Model) - Loss: 1.3839 - Accuracy: 0.3619 - F1: 0.2728
sub_1:Test (Best Model) - Loss: 2.1164 - Accuracy: 0.2905 - F1: 0.1650
sub_9:Test (Best Model) - Loss: 1.6296 - Accuracy: 0.2952 - F1: 0.1683
sub_5:Test (Best Model) - Loss: 3.0370 - Accuracy: 0.3286 - F1: 0.2573
sub_7:Test (Best Model) - Loss: 2.8913 - Accuracy: 0.2762 - F1: 0.1554
sub_13:Test (Best Model) - Loss: 5.0768 - Accuracy: 0.2952 - F1: 0.1659
sub_8:Test (Best Model) - Loss: 1.2158 - Accuracy: 0.3762 - F1: 0.2655
sub_11:Test (Best Model) - Loss: 1.5767 - Accuracy: 0.4143 - F1: 0.3328
sub_10:Test (Best Model) - Loss: 1.3944 - Accuracy: 0.3905 - F1: 0.2494
sub_4:Test (Best Model) - Loss: 1.4916 - Accuracy: 0.4143 - F1: 0.3315
sub_6:Test (Best Model) - Loss: 1.4487 - Accuracy: 0.3810 - F1: 0.2559
sub_7:Test (Best Model) - Loss: 1.3347 - Accuracy: 0.3429 - F1: 0.2428
sub_13:Test (Best Model) - Loss: 1.6065 - Accuracy: 0.3000 - F1: 0.1941
sub_3:Test (Best Model) - Loss: 1.3196 - Accuracy: 0.3810 - F1: 0.2571
sub_14:Test (Best Model) - Loss: 1.6239 - Accuracy: 0.4000 - F1: 0.3456
sub_11:Test (Best Model) - Loss: 1.2920 - Accuracy: 0.4238 - F1: 0.3351
sub_1:Test (Best Model) - Loss: 1.5159 - Accuracy: 0.3286 - F1: 0.2032
sub_8:Test (Best Model) - Loss: 1.1517 - Accuracy: 0.3952 - F1: 0.2723
sub_10:Test (Best Model) - Loss: 1.5766 - Accuracy: 0.2571 - F1: 0.1588
sub_5:Test (Best Model) - Loss: 4.1387 - Accuracy: 0.2905 - F1: 0.2051
sub_6:Test (Best Model) - Loss: 1.4131 - Accuracy: 0.3667 - F1: 0.2467
sub_12:Test (Best Model) - Loss: 1.3260 - Accuracy: 0.3524 - F1: 0.2497
sub_7:Test (Best Model) - Loss: 1.5230 - Accuracy: 0.3000 - F1: 0.2066
sub_4:Test (Best Model) - Loss: 1.4651 - Accuracy: 0.3857 - F1: 0.3174
sub_13:Test (Best Model) - Loss: 1.3283 - Accuracy: 0.4048 - F1: 0.2726
sub_14:Test (Best Model) - Loss: 1.7085 - Accuracy: 0.3571 - F1: 0.2849
sub_3:Test (Best Model) - Loss: 1.2277 - Accuracy: 0.3810 - F1: 0.2669
sub_1:Test (Best Model) - Loss: 1.6342 - Accuracy: 0.4143 - F1: 0.3891
sub_8:Test (Best Model) - Loss: 1.1558 - Accuracy: 0.4000 - F1: 0.2780
sub_10:Test (Best Model) - Loss: 1.4671 - Accuracy: 0.3714 - F1: 0.2451
sub_2:Test (Best Model) - Loss: 1.4792 - Accuracy: 0.5476 - F1: 0.4925
sub_6:Test (Best Model) - Loss: 1.5114 - Accuracy: 0.3190 - F1: 0.2514
sub_9:Test (Best Model) - Loss: 1.5188 - Accuracy: 0.3714 - F1: 0.2460
sub_12:Test (Best Model) - Loss: 3.8413 - Accuracy: 0.3048 - F1: 0.1785
sub_13:Test (Best Model) - Loss: 1.4310 - Accuracy: 0.3429 - F1: 0.2336
sub_3:Test (Best Model) - Loss: 1.3929 - Accuracy: 0.3190 - F1: 0.2233
sub_11:Test (Best Model) - Loss: 1.5846 - Accuracy: 0.3762 - F1: 0.2970
sub_14:Test (Best Model) - Loss: 1.5311 - Accuracy: 0.3905 - F1: 0.3913
sub_7:Test (Best Model) - Loss: 1.3851 - Accuracy: 0.3667 - F1: 0.2512
sub_2:Test (Best Model) - Loss: 5.5826 - Accuracy: 0.3333 - F1: 0.2135
sub_5:Test (Best Model) - Loss: 1.3785 - Accuracy: 0.3857 - F1: 0.2782
sub_9:Test (Best Model) - Loss: 2.2439 - Accuracy: 0.3095 - F1: 0.1736
sub_4:Test (Best Model) - Loss: 1.4134 - Accuracy: 0.4190 - F1: 0.3272
sub_10:Test (Best Model) - Loss: 1.4171 - Accuracy: 0.4095 - F1: 0.3111
sub_1:Test (Best Model) - Loss: 1.4751 - Accuracy: 0.3952 - F1: 0.3355
sub_6:Test (Best Model) - Loss: 1.3178 - Accuracy: 0.3524 - F1: 0.2500
sub_8:Test (Best Model) - Loss: 1.1909 - Accuracy: 0.3905 - F1: 0.2744
sub_12:Test (Best Model) - Loss: 1.7159 - Accuracy: 0.2905 - F1: 0.1613
sub_2:Test (Best Model) - Loss: 1.6235 - Accuracy: 0.2000 - F1: 0.0667
sub_11:Test (Best Model) - Loss: 1.3528 - Accuracy: 0.3571 - F1: 0.2472
sub_9:Test (Best Model) - Loss: 3.3998 - Accuracy: 0.3095 - F1: 0.1759
sub_10:Test (Best Model) - Loss: 1.2582 - Accuracy: 0.3762 - F1: 0.2620
sub_7:Test (Best Model) - Loss: 1.5015 - Accuracy: 0.3429 - F1: 0.2104
sub_8:Test (Best Model) - Loss: 1.7828 - Accuracy: 0.3333 - F1: 0.1993
sub_13:Test (Best Model) - Loss: 1.4804 - Accuracy: 0.3476 - F1: 0.2711
sub_6:Test (Best Model) - Loss: 1.3693 - Accuracy: 0.3286 - F1: 0.2312
sub_12:Test (Best Model) - Loss: 2.0013 - Accuracy: 0.2905 - F1: 0.1639
sub_3:Test (Best Model) - Loss: 1.2033 - Accuracy: 0.3810 - F1: 0.2685
sub_4:Test (Best Model) - Loss: 1.3204 - Accuracy: 0.4571 - F1: 0.4158
sub_1:Test (Best Model) - Loss: 1.2905 - Accuracy: 0.4000 - F1: 0.2963
sub_14:Test (Best Model) - Loss: 1.1643 - Accuracy: 0.4762 - F1: 0.4145
sub_9:Test (Best Model) - Loss: 7.0520 - Accuracy: 0.2762 - F1: 0.1499
sub_10:Test (Best Model) - Loss: 1.2870 - Accuracy: 0.3762 - F1: 0.2593
sub_13:Test (Best Model) - Loss: 1.3819 - Accuracy: 0.3619 - F1: 0.2414
sub_7:Test (Best Model) - Loss: 1.5486 - Accuracy: 0.3000 - F1: 0.1966
sub_6:Test (Best Model) - Loss: 1.4880 - Accuracy: 0.2810 - F1: 0.2133
sub_11:Test (Best Model) - Loss: 1.4778 - Accuracy: 0.4524 - F1: 0.3826
sub_12:Test (Best Model) - Loss: 3.3333 - Accuracy: 0.3000 - F1: 0.1973
sub_8:Test (Best Model) - Loss: 1.5242 - Accuracy: 0.3762 - F1: 0.2497
sub_2:Test (Best Model) - Loss: 1.4214 - Accuracy: 0.3857 - F1: 0.2588
sub_4:Test (Best Model) - Loss: 1.4415 - Accuracy: 0.4095 - F1: 0.3402
sub_10:Test (Best Model) - Loss: 1.3997 - Accuracy: 0.3524 - F1: 0.2448
sub_13:Test (Best Model) - Loss: 1.2964 - Accuracy: 0.3524 - F1: 0.2477
sub_3:Test (Best Model) - Loss: 1.4090 - Accuracy: 0.3571 - F1: 0.2386
sub_11:Test (Best Model) - Loss: 1.4185 - Accuracy: 0.4714 - F1: 0.3887
sub_9:Test (Best Model) - Loss: 2.9483 - Accuracy: 0.3714 - F1: 0.2277
sub_8:Test (Best Model) - Loss: 1.6999 - Accuracy: 0.3810 - F1: 0.2832
sub_2:Test (Best Model) - Loss: 1.3764 - Accuracy: 0.3238 - F1: 0.2273
sub_14:Test (Best Model) - Loss: 1.1316 - Accuracy: 0.4810 - F1: 0.3847
sub_12:Test (Best Model) - Loss: 2.9259 - Accuracy: 0.3810 - F1: 0.2779
sub_6:Test (Best Model) - Loss: 1.4192 - Accuracy: 0.3810 - F1: 0.2882
sub_5:Test (Best Model) - Loss: 2.0604 - Accuracy: 0.4810 - F1: 0.4388
sub_7:Test (Best Model) - Loss: 1.2732 - Accuracy: 0.3810 - F1: 0.3059
sub_11:Test (Best Model) - Loss: 1.2258 - Accuracy: 0.3905 - F1: 0.2690
sub_10:Test (Best Model) - Loss: 1.3779 - Accuracy: 0.3333 - F1: 0.2316
sub_8:Test (Best Model) - Loss: 1.2619 - Accuracy: 0.3714 - F1: 0.3065
sub_3:Test (Best Model) - Loss: 1.2648 - Accuracy: 0.3714 - F1: 0.2608
sub_9:Test (Best Model) - Loss: 1.8784 - Accuracy: 0.3762 - F1: 0.2271
sub_1:Test (Best Model) - Loss: 1.7482 - Accuracy: 0.3714 - F1: 0.3210
sub_13:Test (Best Model) - Loss: 1.5337 - Accuracy: 0.3000 - F1: 0.2064
sub_6:Test (Best Model) - Loss: 1.3125 - Accuracy: 0.3667 - F1: 0.2503
sub_12:Test (Best Model) - Loss: 1.4184 - Accuracy: 0.3762 - F1: 0.2700
sub_14:Test (Best Model) - Loss: 1.3375 - Accuracy: 0.3762 - F1: 0.2513
sub_8:Test (Best Model) - Loss: 1.3083 - Accuracy: 0.4476 - F1: 0.3555
sub_11:Test (Best Model) - Loss: 1.2861 - Accuracy: 0.3905 - F1: 0.2660
sub_3:Test (Best Model) - Loss: 1.4673 - Accuracy: 0.3190 - F1: 0.2209
sub_10:Test (Best Model) - Loss: 1.5847 - Accuracy: 0.3000 - F1: 0.2163
sub_9:Test (Best Model) - Loss: 1.4859 - Accuracy: 0.3000 - F1: 0.2067
sub_5:Test (Best Model) - Loss: 1.8505 - Accuracy: 0.4095 - F1: 0.3399
sub_4:Test (Best Model) - Loss: 1.3142 - Accuracy: 0.4571 - F1: 0.4343
sub_6:Test (Best Model) - Loss: 1.7797 - Accuracy: 0.2810 - F1: 0.1864
sub_13:Test (Best Model) - Loss: 1.3531 - Accuracy: 0.3571 - F1: 0.2490
sub_12:Test (Best Model) - Loss: 1.2543 - Accuracy: 0.3524 - F1: 0.2744
sub_7:Test (Best Model) - Loss: 1.5686 - Accuracy: 0.3714 - F1: 0.2308
sub_1:Test (Best Model) - Loss: 1.4849 - Accuracy: 0.2762 - F1: 0.1819
sub_3:Test (Best Model) - Loss: 1.6177 - Accuracy: 0.2286 - F1: 0.1248
sub_10:Test (Best Model) - Loss: 1.5841 - Accuracy: 0.2619 - F1: 0.1651
sub_9:Test (Best Model) - Loss: 1.2669 - Accuracy: 0.3619 - F1: 0.2560
sub_5:Test (Best Model) - Loss: 1.3433 - Accuracy: 0.4667 - F1: 0.4018
sub_14:Test (Best Model) - Loss: 1.0133 - Accuracy: 0.5429 - F1: 0.4417
sub_6:Test (Best Model) - Loss: 1.6273 - Accuracy: 0.2476 - F1: 0.1504
sub_12:Test (Best Model) - Loss: 1.4641 - Accuracy: 0.3429 - F1: 0.2318
sub_11:Test (Best Model) - Loss: 1.4706 - Accuracy: 0.3381 - F1: 0.2574
sub_13:Test (Best Model) - Loss: 1.3555 - Accuracy: 0.3619 - F1: 0.2496
sub_1:Test (Best Model) - Loss: 1.8984 - Accuracy: 0.2476 - F1: 0.2087
sub_7:Test (Best Model) - Loss: 1.6170 - Accuracy: 0.2667 - F1: 0.1678
sub_4:Test (Best Model) - Loss: 1.4623 - Accuracy: 0.4048 - F1: 0.3107
sub_3:Test (Best Model) - Loss: 1.5656 - Accuracy: 0.2619 - F1: 0.2216
sub_9:Test (Best Model) - Loss: 1.7813 - Accuracy: 0.2286 - F1: 0.1194
sub_2:Test (Best Model) - Loss: 1.4277 - Accuracy: 0.4857 - F1: 0.4556
sub_12:Test (Best Model) - Loss: 1.8349 - Accuracy: 0.2190 - F1: 0.1083
sub_11:Test (Best Model) - Loss: 1.3484 - Accuracy: 0.3857 - F1: 0.2668
sub_13:Test (Best Model) - Loss: 1.4533 - Accuracy: 0.3381 - F1: 0.2284
sub_6:Test (Best Model) - Loss: 1.5613 - Accuracy: 0.2762 - F1: 0.1988
sub_5:Test (Best Model) - Loss: 1.7183 - Accuracy: 0.4238 - F1: 0.3472
sub_7:Test (Best Model) - Loss: 1.4228 - Accuracy: 0.3429 - F1: 0.2349
sub_1:Test (Best Model) - Loss: 1.2446 - Accuracy: 0.3810 - F1: 0.2657
sub_3:Test (Best Model) - Loss: 1.5936 - Accuracy: 0.2810 - F1: 0.1881
sub_9:Test (Best Model) - Loss: 1.4906 - Accuracy: 0.3095 - F1: 0.2149
sub_14:Test (Best Model) - Loss: 1.1884 - Accuracy: 0.4619 - F1: 0.4170
sub_2:Test (Best Model) - Loss: 1.2633 - Accuracy: 0.3810 - F1: 0.2732
sub_10:Test (Best Model) - Loss: 1.5193 - Accuracy: 0.3619 - F1: 0.2675
sub_8:Test (Best Model) - Loss: 1.5031 - Accuracy: 0.4143 - F1: 0.3495
sub_12:Test (Best Model) - Loss: 1.5319 - Accuracy: 0.3190 - F1: 0.2189
sub_11:Test (Best Model) - Loss: 1.2695 - Accuracy: 0.3429 - F1: 0.2835
sub_1:Test (Best Model) - Loss: 1.4340 - Accuracy: 0.3143 - F1: 0.2138
sub_3:Test (Best Model) - Loss: 1.5392 - Accuracy: 0.2810 - F1: 0.1884
sub_9:Test (Best Model) - Loss: 1.6232 - Accuracy: 0.2048 - F1: 0.0765
sub_4:Test (Best Model) - Loss: 1.4251 - Accuracy: 0.4286 - F1: 0.3380
sub_2:Test (Best Model) - Loss: 1.3554 - Accuracy: 0.3333 - F1: 0.2478
sub_8:Test (Best Model) - Loss: 1.2024 - Accuracy: 0.3810 - F1: 0.2685
sub_5:Test (Best Model) - Loss: 1.4661 - Accuracy: 0.3810 - F1: 0.3223
sub_14:Test (Best Model) - Loss: 3.3579 - Accuracy: 0.3524 - F1: 0.2686
sub_11:Test (Best Model) - Loss: 1.4559 - Accuracy: 0.3810 - F1: 0.3306
sub_7:Test (Best Model) - Loss: 1.6425 - Accuracy: 0.2857 - F1: 0.2001
sub_1:Test (Best Model) - Loss: 1.2456 - Accuracy: 0.4429 - F1: 0.3801
sub_2:Test (Best Model) - Loss: 1.7819 - Accuracy: 0.3000 - F1: 0.2384
sub_4:Test (Best Model) - Loss: 1.9032 - Accuracy: 0.4476 - F1: 0.3701
sub_1:Test (Best Model) - Loss: 1.2592 - Accuracy: 0.4095 - F1: 0.2998
sub_14:Test (Best Model) - Loss: 1.6501 - Accuracy: 0.2286 - F1: 0.1191
sub_7:Test (Best Model) - Loss: 1.5650 - Accuracy: 0.3000 - F1: 0.1923
sub_2:Test (Best Model) - Loss: 1.3075 - Accuracy: 0.4286 - F1: 0.3706
sub_4:Test (Best Model) - Loss: 1.3570 - Accuracy: 0.3429 - F1: 0.2518
sub_5:Test (Best Model) - Loss: 1.8630 - Accuracy: 0.4238 - F1: 0.4154
sub_7:Test (Best Model) - Loss: 1.6472 - Accuracy: 0.2667 - F1: 0.1709
sub_14:Test (Best Model) - Loss: 5.5864 - Accuracy: 0.2381 - F1: 0.1291
sub_4:Test (Best Model) - Loss: 1.3921 - Accuracy: 0.3333 - F1: 0.2393
sub_2:Test (Best Model) - Loss: 1.4954 - Accuracy: 0.3286 - F1: 0.2166
sub_5:Test (Best Model) - Loss: 1.2510 - Accuracy: 0.3857 - F1: 0.3554
sub_4:Test (Best Model) - Loss: 1.4492 - Accuracy: 0.3238 - F1: 0.2261
sub_5:Test (Best Model) - Loss: 1.4042 - Accuracy: 0.4143 - F1: 0.3501
sub_14:Test (Best Model) - Loss: 3.5966 - Accuracy: 0.2762 - F1: 0.1872
sub_4:Test (Best Model) - Loss: 1.5776 - Accuracy: 0.2238 - F1: 0.1126
sub_5:Test (Best Model) - Loss: 2.1926 - Accuracy: 0.2905 - F1: 0.2400
sub_2:Test (Best Model) - Loss: 1.4286 - Accuracy: 0.4857 - F1: 0.4052
sub_14:Test (Best Model) - Loss: 8.0170 - Accuracy: 0.2524 - F1: 0.1546

=== Summary Results ===

acc: 35.17 ± 2.67
F1: 25.40 ± 3.82
acc-in: 45.39 ± 4.54
F1-in: 36.39 ± 5.76
