lr: 1e-05
sub_6:Test (Best Model) - Loss: 1.5892 - Accuracy: 0.3000 - F1: 0.2494
sub_8:Test (Best Model) - Loss: 1.5221 - Accuracy: 0.4048 - F1: 0.3648
sub_2:Test (Best Model) - Loss: 1.5682 - Accuracy: 0.2857 - F1: 0.2183
sub_4:Test (Best Model) - Loss: 1.5630 - Accuracy: 0.3905 - F1: 0.3337
sub_1:Test (Best Model) - Loss: 1.5709 - Accuracy: 0.3286 - F1: 0.3051
sub_10:Test (Best Model) - Loss: 1.5585 - Accuracy: 0.3524 - F1: 0.3023
sub_3:Test (Best Model) - Loss: 1.5512 - Accuracy: 0.3714 - F1: 0.3378
sub_12:Test (Best Model) - Loss: 1.5448 - Accuracy: 0.3429 - F1: 0.3378
sub_5:Test (Best Model) - Loss: 1.6004 - Accuracy: 0.2571 - F1: 0.2321
sub_14:Test (Best Model) - Loss: 1.5832 - Accuracy: 0.2571 - F1: 0.2171
sub_11:Test (Best Model) - Loss: 1.5048 - Accuracy: 0.4238 - F1: 0.3966
sub_9:Test (Best Model) - Loss: 1.5037 - Accuracy: 0.4333 - F1: 0.3970
sub_6:Test (Best Model) - Loss: 1.5920 - Accuracy: 0.2524 - F1: 0.2399
sub_7:Test (Best Model) - Loss: 1.5954 - Accuracy: 0.2429 - F1: 0.2238
sub_13:Test (Best Model) - Loss: 1.5693 - Accuracy: 0.3238 - F1: 0.2636
sub_8:Test (Best Model) - Loss: 1.4953 - Accuracy: 0.4524 - F1: 0.4499
sub_1:Test (Best Model) - Loss: 1.5842 - Accuracy: 0.2667 - F1: 0.1976
sub_2:Test (Best Model) - Loss: 1.5556 - Accuracy: 0.3333 - F1: 0.2726
sub_4:Test (Best Model) - Loss: 1.5387 - Accuracy: 0.3762 - F1: 0.3633
sub_11:Test (Best Model) - Loss: 1.5403 - Accuracy: 0.3571 - F1: 0.2969
sub_3:Test (Best Model) - Loss: 1.5620 - Accuracy: 0.3333 - F1: 0.2744
sub_13:Test (Best Model) - Loss: 1.5698 - Accuracy: 0.3429 - F1: 0.3273
sub_7:Test (Best Model) - Loss: 1.6077 - Accuracy: 0.1571 - F1: 0.1567
sub_6:Test (Best Model) - Loss: 1.5873 - Accuracy: 0.2714 - F1: 0.2493
sub_10:Test (Best Model) - Loss: 1.5399 - Accuracy: 0.3238 - F1: 0.2874
sub_12:Test (Best Model) - Loss: 1.5650 - Accuracy: 0.2571 - F1: 0.2712
sub_9:Test (Best Model) - Loss: 1.5268 - Accuracy: 0.4048 - F1: 0.3230
sub_5:Test (Best Model) - Loss: 1.5716 - Accuracy: 0.2857 - F1: 0.2479
sub_8:Test (Best Model) - Loss: 1.5209 - Accuracy: 0.4000 - F1: 0.3625
sub_4:Test (Best Model) - Loss: 1.5959 - Accuracy: 0.2238 - F1: 0.2268
sub_14:Test (Best Model) - Loss: 1.5588 - Accuracy: 0.3190 - F1: 0.2907
sub_2:Test (Best Model) - Loss: 1.5730 - Accuracy: 0.2476 - F1: 0.1851
sub_11:Test (Best Model) - Loss: 1.5631 - Accuracy: 0.3429 - F1: 0.3006
sub_1:Test (Best Model) - Loss: 1.5571 - Accuracy: 0.3667 - F1: 0.2982
sub_3:Test (Best Model) - Loss: 1.5638 - Accuracy: 0.3571 - F1: 0.3550
sub_7:Test (Best Model) - Loss: 1.6027 - Accuracy: 0.2333 - F1: 0.2084
sub_13:Test (Best Model) - Loss: 1.5679 - Accuracy: 0.3238 - F1: 0.2814
sub_12:Test (Best Model) - Loss: 1.5787 - Accuracy: 0.3000 - F1: 0.2873
sub_8:Test (Best Model) - Loss: 1.5424 - Accuracy: 0.4143 - F1: 0.3848
sub_6:Test (Best Model) - Loss: 1.5800 - Accuracy: 0.3095 - F1: 0.2913
sub_9:Test (Best Model) - Loss: 1.5499 - Accuracy: 0.4095 - F1: 0.3104
sub_7:Test (Best Model) - Loss: 1.6078 - Accuracy: 0.2190 - F1: 0.1867
sub_5:Test (Best Model) - Loss: 1.5974 - Accuracy: 0.2190 - F1: 0.1996
sub_14:Test (Best Model) - Loss: 1.5820 - Accuracy: 0.2762 - F1: 0.2482
sub_2:Test (Best Model) - Loss: 1.5688 - Accuracy: 0.2762 - F1: 0.2076
sub_3:Test (Best Model) - Loss: 1.5849 - Accuracy: 0.2762 - F1: 0.2401
sub_4:Test (Best Model) - Loss: 1.5646 - Accuracy: 0.3619 - F1: 0.3209
sub_11:Test (Best Model) - Loss: 1.5464 - Accuracy: 0.3714 - F1: 0.3243
sub_10:Test (Best Model) - Loss: 1.5787 - Accuracy: 0.2762 - F1: 0.2093
sub_1:Test (Best Model) - Loss: 1.5785 - Accuracy: 0.2667 - F1: 0.2059
sub_2:Test (Best Model) - Loss: 1.5886 - Accuracy: 0.2333 - F1: 0.1500
sub_13:Test (Best Model) - Loss: 1.5913 - Accuracy: 0.2857 - F1: 0.2247
sub_8:Test (Best Model) - Loss: 1.5213 - Accuracy: 0.4143 - F1: 0.3712
sub_6:Test (Best Model) - Loss: 1.5771 - Accuracy: 0.2952 - F1: 0.2661
sub_12:Test (Best Model) - Loss: 1.5419 - Accuracy: 0.3952 - F1: 0.3600
sub_9:Test (Best Model) - Loss: 1.5738 - Accuracy: 0.3286 - F1: 0.2700
sub_7:Test (Best Model) - Loss: 1.6011 - Accuracy: 0.2857 - F1: 0.2375
sub_5:Test (Best Model) - Loss: 1.6046 - Accuracy: 0.2048 - F1: 0.1735
sub_11:Test (Best Model) - Loss: 1.5740 - Accuracy: 0.3429 - F1: 0.2830
sub_14:Test (Best Model) - Loss: 1.5545 - Accuracy: 0.3810 - F1: 0.3856
sub_10:Test (Best Model) - Loss: 1.5819 - Accuracy: 0.2667 - F1: 0.2096
sub_6:Test (Best Model) - Loss: 1.5981 - Accuracy: 0.2810 - F1: 0.2163
sub_4:Test (Best Model) - Loss: 1.5525 - Accuracy: 0.3571 - F1: 0.3261
sub_5:Test (Best Model) - Loss: 1.5891 - Accuracy: 0.2667 - F1: 0.2476
sub_3:Test (Best Model) - Loss: 1.5636 - Accuracy: 0.2810 - F1: 0.2045
sub_7:Test (Best Model) - Loss: 1.5895 - Accuracy: 0.2714 - F1: 0.2583
sub_2:Test (Best Model) - Loss: 1.5701 - Accuracy: 0.2667 - F1: 0.2608
sub_9:Test (Best Model) - Loss: 1.5150 - Accuracy: 0.4905 - F1: 0.4693
sub_8:Test (Best Model) - Loss: 1.5048 - Accuracy: 0.4381 - F1: 0.4149
sub_12:Test (Best Model) - Loss: 1.5423 - Accuracy: 0.3619 - F1: 0.3549
sub_11:Test (Best Model) - Loss: 1.5415 - Accuracy: 0.3952 - F1: 0.3608
sub_7:Test (Best Model) - Loss: 1.6204 - Accuracy: 0.1762 - F1: 0.1740
sub_14:Test (Best Model) - Loss: 1.5741 - Accuracy: 0.2619 - F1: 0.2416
sub_1:Test (Best Model) - Loss: 1.5392 - Accuracy: 0.3619 - F1: 0.3146
sub_10:Test (Best Model) - Loss: 1.5817 - Accuracy: 0.2619 - F1: 0.1967
sub_13:Test (Best Model) - Loss: 1.5601 - Accuracy: 0.3524 - F1: 0.2347
sub_4:Test (Best Model) - Loss: 1.5727 - Accuracy: 0.3143 - F1: 0.3087
sub_2:Test (Best Model) - Loss: 1.5559 - Accuracy: 0.2952 - F1: 0.2920
sub_5:Test (Best Model) - Loss: 1.5731 - Accuracy: 0.3000 - F1: 0.3056
sub_9:Test (Best Model) - Loss: 1.5592 - Accuracy: 0.3476 - F1: 0.3141
sub_14:Test (Best Model) - Loss: 1.5897 - Accuracy: 0.3143 - F1: 0.2818
sub_6:Test (Best Model) - Loss: 1.5866 - Accuracy: 0.2714 - F1: 0.2392
sub_3:Test (Best Model) - Loss: 1.5471 - Accuracy: 0.4048 - F1: 0.3769
sub_12:Test (Best Model) - Loss: 1.5737 - Accuracy: 0.3048 - F1: 0.2635
sub_8:Test (Best Model) - Loss: 1.5200 - Accuracy: 0.4381 - F1: 0.4077
sub_13:Test (Best Model) - Loss: 1.5902 - Accuracy: 0.2762 - F1: 0.2680
sub_11:Test (Best Model) - Loss: 1.5216 - Accuracy: 0.3810 - F1: 0.3607
sub_1:Test (Best Model) - Loss: 1.5697 - Accuracy: 0.3524 - F1: 0.3444
sub_6:Test (Best Model) - Loss: 1.6009 - Accuracy: 0.2571 - F1: 0.2303
sub_10:Test (Best Model) - Loss: 1.5635 - Accuracy: 0.4238 - F1: 0.4056
sub_4:Test (Best Model) - Loss: 1.5804 - Accuracy: 0.2524 - F1: 0.2528
sub_7:Test (Best Model) - Loss: 1.5963 - Accuracy: 0.2857 - F1: 0.2857
sub_3:Test (Best Model) - Loss: 1.5956 - Accuracy: 0.2571 - F1: 0.2369
sub_5:Test (Best Model) - Loss: 1.5645 - Accuracy: 0.2905 - F1: 0.2809
sub_8:Test (Best Model) - Loss: 1.5258 - Accuracy: 0.4381 - F1: 0.4112
sub_11:Test (Best Model) - Loss: 1.5296 - Accuracy: 0.3905 - F1: 0.3767
sub_12:Test (Best Model) - Loss: 1.5870 - Accuracy: 0.2714 - F1: 0.2333
sub_10:Test (Best Model) - Loss: 1.5665 - Accuracy: 0.2762 - F1: 0.2656
sub_2:Test (Best Model) - Loss: 1.5113 - Accuracy: 0.3714 - F1: 0.3683
sub_14:Test (Best Model) - Loss: 1.5385 - Accuracy: 0.4095 - F1: 0.3677
sub_1:Test (Best Model) - Loss: 1.5573 - Accuracy: 0.2905 - F1: 0.2984
sub_4:Test (Best Model) - Loss: 1.5601 - Accuracy: 0.3238 - F1: 0.2938
sub_13:Test (Best Model) - Loss: 1.5477 - Accuracy: 0.3333 - F1: 0.3001
sub_9:Test (Best Model) - Loss: 1.5404 - Accuracy: 0.3190 - F1: 0.3013
sub_3:Test (Best Model) - Loss: 1.5587 - Accuracy: 0.2857 - F1: 0.2739
sub_5:Test (Best Model) - Loss: 1.5542 - Accuracy: 0.3381 - F1: 0.3459
sub_7:Test (Best Model) - Loss: 1.5950 - Accuracy: 0.2476 - F1: 0.2191
sub_12:Test (Best Model) - Loss: 1.5846 - Accuracy: 0.2667 - F1: 0.2256
sub_10:Test (Best Model) - Loss: 1.5693 - Accuracy: 0.3286 - F1: 0.2886
sub_14:Test (Best Model) - Loss: 1.5615 - Accuracy: 0.3333 - F1: 0.3436
sub_8:Test (Best Model) - Loss: 1.5156 - Accuracy: 0.4000 - F1: 0.3418
sub_2:Test (Best Model) - Loss: 1.5440 - Accuracy: 0.3143 - F1: 0.2790
sub_11:Test (Best Model) - Loss: 1.5054 - Accuracy: 0.3571 - F1: 0.3474
sub_6:Test (Best Model) - Loss: 1.5621 - Accuracy: 0.3190 - F1: 0.3030
sub_13:Test (Best Model) - Loss: 1.5760 - Accuracy: 0.2762 - F1: 0.2567
sub_7:Test (Best Model) - Loss: 1.5891 - Accuracy: 0.2810 - F1: 0.2492
sub_1:Test (Best Model) - Loss: 1.5431 - Accuracy: 0.3524 - F1: 0.3509
sub_14:Test (Best Model) - Loss: 1.5819 - Accuracy: 0.3000 - F1: 0.2660
sub_4:Test (Best Model) - Loss: 1.5535 - Accuracy: 0.3333 - F1: 0.3071
sub_8:Test (Best Model) - Loss: 1.4920 - Accuracy: 0.3810 - F1: 0.3375
sub_2:Test (Best Model) - Loss: 1.5346 - Accuracy: 0.3667 - F1: 0.3388
sub_9:Test (Best Model) - Loss: 1.5482 - Accuracy: 0.3619 - F1: 0.3076
sub_12:Test (Best Model) - Loss: 1.5769 - Accuracy: 0.2810 - F1: 0.2127
sub_10:Test (Best Model) - Loss: 1.5412 - Accuracy: 0.3429 - F1: 0.3315
sub_6:Test (Best Model) - Loss: 1.5824 - Accuracy: 0.2857 - F1: 0.2678
sub_7:Test (Best Model) - Loss: 1.6080 - Accuracy: 0.1905 - F1: 0.1932
sub_5:Test (Best Model) - Loss: 1.5411 - Accuracy: 0.4048 - F1: 0.3835
sub_11:Test (Best Model) - Loss: 1.5088 - Accuracy: 0.3857 - F1: 0.3191
sub_14:Test (Best Model) - Loss: 1.5381 - Accuracy: 0.3810 - F1: 0.3571
sub_1:Test (Best Model) - Loss: 1.5684 - Accuracy: 0.3190 - F1: 0.3134
sub_6:Test (Best Model) - Loss: 1.6118 - Accuracy: 0.1905 - F1: 0.1636
sub_3:Test (Best Model) - Loss: 1.5539 - Accuracy: 0.3667 - F1: 0.3531
sub_8:Test (Best Model) - Loss: 1.5589 - Accuracy: 0.3762 - F1: 0.3661
sub_13:Test (Best Model) - Loss: 1.5414 - Accuracy: 0.3381 - F1: 0.3019
sub_9:Test (Best Model) - Loss: 1.5659 - Accuracy: 0.3571 - F1: 0.3136
sub_7:Test (Best Model) - Loss: 1.5984 - Accuracy: 0.2714 - F1: 0.2653
sub_2:Test (Best Model) - Loss: 1.5676 - Accuracy: 0.3190 - F1: 0.3118
sub_4:Test (Best Model) - Loss: 1.5232 - Accuracy: 0.3524 - F1: 0.2999
sub_10:Test (Best Model) - Loss: 1.5294 - Accuracy: 0.3238 - F1: 0.2887
sub_7:Test (Best Model) - Loss: 1.6209 - Accuracy: 0.2286 - F1: 0.1979
sub_1:Test (Best Model) - Loss: 1.5834 - Accuracy: 0.3048 - F1: 0.2793
sub_14:Test (Best Model) - Loss: 1.6049 - Accuracy: 0.2571 - F1: 0.1826
sub_11:Test (Best Model) - Loss: 1.5382 - Accuracy: 0.4048 - F1: 0.4103
sub_8:Test (Best Model) - Loss: 1.5544 - Accuracy: 0.3571 - F1: 0.3473
sub_5:Test (Best Model) - Loss: 1.5375 - Accuracy: 0.4429 - F1: 0.4008
sub_9:Test (Best Model) - Loss: 1.5370 - Accuracy: 0.3667 - F1: 0.3077
sub_12:Test (Best Model) - Loss: 1.5599 - Accuracy: 0.3000 - F1: 0.2382
sub_6:Test (Best Model) - Loss: 1.5895 - Accuracy: 0.2857 - F1: 0.2582
sub_2:Test (Best Model) - Loss: 1.5683 - Accuracy: 0.3286 - F1: 0.3310
sub_3:Test (Best Model) - Loss: 1.5249 - Accuracy: 0.3714 - F1: 0.3795
sub_13:Test (Best Model) - Loss: 1.5481 - Accuracy: 0.4000 - F1: 0.3545
sub_4:Test (Best Model) - Loss: 1.5805 - Accuracy: 0.3048 - F1: 0.2844
sub_7:Test (Best Model) - Loss: 1.6058 - Accuracy: 0.2143 - F1: 0.1893
sub_10:Test (Best Model) - Loss: 1.5872 - Accuracy: 0.3143 - F1: 0.2997
sub_8:Test (Best Model) - Loss: 1.5488 - Accuracy: 0.3714 - F1: 0.3691
sub_1:Test (Best Model) - Loss: 1.5614 - Accuracy: 0.3667 - F1: 0.3748
sub_2:Test (Best Model) - Loss: 1.5611 - Accuracy: 0.3524 - F1: 0.3059
sub_11:Test (Best Model) - Loss: 1.5195 - Accuracy: 0.4619 - F1: 0.4528
sub_12:Test (Best Model) - Loss: 1.5897 - Accuracy: 0.3238 - F1: 0.2920
sub_3:Test (Best Model) - Loss: 1.5847 - Accuracy: 0.2952 - F1: 0.2710
sub_5:Test (Best Model) - Loss: 1.5757 - Accuracy: 0.2810 - F1: 0.2653
sub_14:Test (Best Model) - Loss: 1.5972 - Accuracy: 0.2619 - F1: 0.1823
sub_7:Test (Best Model) - Loss: 1.5990 - Accuracy: 0.2476 - F1: 0.2226
sub_9:Test (Best Model) - Loss: 1.5847 - Accuracy: 0.2571 - F1: 0.2651
sub_13:Test (Best Model) - Loss: 1.5781 - Accuracy: 0.3429 - F1: 0.2915
sub_6:Test (Best Model) - Loss: 1.5859 - Accuracy: 0.3286 - F1: 0.2655
sub_8:Test (Best Model) - Loss: 1.5435 - Accuracy: 0.4143 - F1: 0.3647
sub_1:Test (Best Model) - Loss: 1.5652 - Accuracy: 0.3476 - F1: 0.3200
sub_4:Test (Best Model) - Loss: 1.5684 - Accuracy: 0.3000 - F1: 0.2961
sub_3:Test (Best Model) - Loss: 1.5949 - Accuracy: 0.2619 - F1: 0.2565
sub_5:Test (Best Model) - Loss: 1.6038 - Accuracy: 0.2143 - F1: 0.1939
sub_14:Test (Best Model) - Loss: 1.5976 - Accuracy: 0.2381 - F1: 0.1619
sub_1:Test (Best Model) - Loss: 1.5831 - Accuracy: 0.2905 - F1: 0.2738
sub_9:Test (Best Model) - Loss: 1.5618 - Accuracy: 0.3333 - F1: 0.3423
sub_3:Test (Best Model) - Loss: 1.6108 - Accuracy: 0.2381 - F1: 0.2085
sub_2:Test (Best Model) - Loss: 1.5330 - Accuracy: 0.3857 - F1: 0.3474
sub_10:Test (Best Model) - Loss: 1.5831 - Accuracy: 0.2762 - F1: 0.2599
sub_11:Test (Best Model) - Loss: 1.5240 - Accuracy: 0.3857 - F1: 0.3767
sub_13:Test (Best Model) - Loss: 1.5608 - Accuracy: 0.3810 - F1: 0.3241
sub_8:Test (Best Model) - Loss: 1.5711 - Accuracy: 0.3619 - F1: 0.3163
sub_12:Test (Best Model) - Loss: 1.5443 - Accuracy: 0.3143 - F1: 0.2771
sub_6:Test (Best Model) - Loss: 1.5830 - Accuracy: 0.3000 - F1: 0.2395
sub_1:Test (Best Model) - Loss: 1.5780 - Accuracy: 0.3000 - F1: 0.2768
sub_3:Test (Best Model) - Loss: 1.5985 - Accuracy: 0.2429 - F1: 0.2359
sub_5:Test (Best Model) - Loss: 1.5868 - Accuracy: 0.2762 - F1: 0.2810
sub_10:Test (Best Model) - Loss: 1.5890 - Accuracy: 0.3000 - F1: 0.2754
sub_9:Test (Best Model) - Loss: 1.5728 - Accuracy: 0.2810 - F1: 0.2571
sub_4:Test (Best Model) - Loss: 1.5508 - Accuracy: 0.3619 - F1: 0.3505
sub_14:Test (Best Model) - Loss: 1.5895 - Accuracy: 0.2476 - F1: 0.1674
sub_13:Test (Best Model) - Loss: 1.5640 - Accuracy: 0.3524 - F1: 0.3362
sub_3:Test (Best Model) - Loss: 1.6049 - Accuracy: 0.2381 - F1: 0.2260
sub_2:Test (Best Model) - Loss: 1.5517 - Accuracy: 0.3143 - F1: 0.3028
sub_11:Test (Best Model) - Loss: 1.5307 - Accuracy: 0.4190 - F1: 0.3959
sub_1:Test (Best Model) - Loss: 1.5817 - Accuracy: 0.2762 - F1: 0.2704
sub_12:Test (Best Model) - Loss: 1.5722 - Accuracy: 0.3095 - F1: 0.2560
sub_9:Test (Best Model) - Loss: 1.5687 - Accuracy: 0.3143 - F1: 0.2949
sub_10:Test (Best Model) - Loss: 1.5980 - Accuracy: 0.2429 - F1: 0.1475
sub_6:Test (Best Model) - Loss: 1.5768 - Accuracy: 0.3143 - F1: 0.2474
sub_5:Test (Best Model) - Loss: 1.5938 - Accuracy: 0.2619 - F1: 0.2657
sub_11:Test (Best Model) - Loss: 1.5297 - Accuracy: 0.4524 - F1: 0.4099
sub_4:Test (Best Model) - Loss: 1.5489 - Accuracy: 0.3524 - F1: 0.3273
sub_13:Test (Best Model) - Loss: 1.5219 - Accuracy: 0.3762 - F1: 0.3076
sub_14:Test (Best Model) - Loss: 1.5962 - Accuracy: 0.2333 - F1: 0.1659
sub_9:Test (Best Model) - Loss: 1.5586 - Accuracy: 0.3524 - F1: 0.3374
sub_12:Test (Best Model) - Loss: 1.5606 - Accuracy: 0.3333 - F1: 0.2529
sub_5:Test (Best Model) - Loss: 1.5863 - Accuracy: 0.2619 - F1: 0.2461
sub_10:Test (Best Model) - Loss: 1.5886 - Accuracy: 0.2524 - F1: 0.1949
sub_4:Test (Best Model) - Loss: 1.5742 - Accuracy: 0.3333 - F1: 0.3266
sub_13:Test (Best Model) - Loss: 1.5675 - Accuracy: 0.4048 - F1: 0.3784
sub_12:Test (Best Model) - Loss: 1.5546 - Accuracy: 0.3000 - F1: 0.2772

=== Summary Results ===

acc: 32.01 ± 4.18
F1: 28.93 ± 4.04
acc-in: 36.50 ± 3.86
F1-in: 34.48 ± 3.71
