lr: 1e-05
sub_1:Test (Best Model) - Loss: 1.7404 - Accuracy: 0.3143 - F1: 0.2523
sub_1:Test (Best Model) - Loss: 1.7749 - Accuracy: 0.3190 - F1: 0.2558
sub_1:Test (Best Model) - Loss: 1.7320 - Accuracy: 0.3429 - F1: 0.2971
sub_1:Test (Best Model) - Loss: 1.7117 - Accuracy: 0.2857 - F1: 0.2316
sub_1:Test (Best Model) - Loss: 1.7689 - Accuracy: 0.3095 - F1: 0.2636
sub_1:Test (Best Model) - Loss: 1.4865 - Accuracy: 0.3286 - F1: 0.3301
sub_1:Test (Best Model) - Loss: 1.4908 - Accuracy: 0.3429 - F1: 0.3439
sub_1:Test (Best Model) - Loss: 1.4181 - Accuracy: 0.3857 - F1: 0.3810
sub_1:Test (Best Model) - Loss: 1.4120 - Accuracy: 0.3952 - F1: 0.3960
sub_1:Test (Best Model) - Loss: 1.4650 - Accuracy: 0.3762 - F1: 0.3768
sub_1:Test (Best Model) - Loss: 1.5171 - Accuracy: 0.3571 - F1: 0.3616
sub_1:Test (Best Model) - Loss: 1.5214 - Accuracy: 0.3381 - F1: 0.3344
sub_1:Test (Best Model) - Loss: 1.5168 - Accuracy: 0.3333 - F1: 0.3247
sub_1:Test (Best Model) - Loss: 1.5392 - Accuracy: 0.3238 - F1: 0.3280
sub_1:Test (Best Model) - Loss: 1.5200 - Accuracy: 0.2762 - F1: 0.2818
sub_2:Test (Best Model) - Loss: 1.5118 - Accuracy: 0.3429 - F1: 0.2704
sub_2:Test (Best Model) - Loss: 1.5037 - Accuracy: 0.3571 - F1: 0.3075
sub_2:Test (Best Model) - Loss: 1.5250 - Accuracy: 0.3714 - F1: 0.2887
sub_2:Test (Best Model) - Loss: 1.5378 - Accuracy: 0.3571 - F1: 0.2696
sub_2:Test (Best Model) - Loss: 1.5459 - Accuracy: 0.3571 - F1: 0.2718
sub_2:Test (Best Model) - Loss: 1.5300 - Accuracy: 0.3429 - F1: 0.3560
sub_2:Test (Best Model) - Loss: 1.4766 - Accuracy: 0.2905 - F1: 0.3007
sub_2:Test (Best Model) - Loss: 1.4891 - Accuracy: 0.3238 - F1: 0.3347
sub_2:Test (Best Model) - Loss: 1.4613 - Accuracy: 0.3333 - F1: 0.3457
sub_2:Test (Best Model) - Loss: 1.5038 - Accuracy: 0.3381 - F1: 0.3530
sub_2:Test (Best Model) - Loss: 1.5012 - Accuracy: 0.2857 - F1: 0.2826
sub_2:Test (Best Model) - Loss: 1.4908 - Accuracy: 0.3238 - F1: 0.3320
sub_2:Test (Best Model) - Loss: 1.4984 - Accuracy: 0.2952 - F1: 0.3105
sub_2:Test (Best Model) - Loss: 1.4887 - Accuracy: 0.3238 - F1: 0.3285
sub_2:Test (Best Model) - Loss: 1.5517 - Accuracy: 0.2333 - F1: 0.2436
sub_3:Test (Best Model) - Loss: 1.6147 - Accuracy: 0.2429 - F1: 0.1661
sub_3:Test (Best Model) - Loss: 1.6356 - Accuracy: 0.2190 - F1: 0.1231
sub_3:Test (Best Model) - Loss: 1.6675 - Accuracy: 0.2905 - F1: 0.2218
sub_3:Test (Best Model) - Loss: 1.6124 - Accuracy: 0.2714 - F1: 0.2007
sub_3:Test (Best Model) - Loss: 1.9015 - Accuracy: 0.2333 - F1: 0.1281
sub_3:Test (Best Model) - Loss: 1.5461 - Accuracy: 0.3333 - F1: 0.3227
sub_3:Test (Best Model) - Loss: 1.5655 - Accuracy: 0.2667 - F1: 0.2655
sub_3:Test (Best Model) - Loss: 1.5050 - Accuracy: 0.3333 - F1: 0.3260
sub_3:Test (Best Model) - Loss: 1.5247 - Accuracy: 0.3048 - F1: 0.2923
sub_3:Test (Best Model) - Loss: 1.5372 - Accuracy: 0.3190 - F1: 0.3051
sub_3:Test (Best Model) - Loss: 1.6258 - Accuracy: 0.3000 - F1: 0.3025
sub_3:Test (Best Model) - Loss: 1.6529 - Accuracy: 0.2619 - F1: 0.2697
sub_3:Test (Best Model) - Loss: 1.6841 - Accuracy: 0.3000 - F1: 0.3043
sub_3:Test (Best Model) - Loss: 1.5904 - Accuracy: 0.3048 - F1: 0.3144
sub_3:Test (Best Model) - Loss: 1.5879 - Accuracy: 0.3048 - F1: 0.3082
sub_4:Test (Best Model) - Loss: 1.5437 - Accuracy: 0.3095 - F1: 0.2894
sub_4:Test (Best Model) - Loss: 1.5715 - Accuracy: 0.2952 - F1: 0.2825
sub_4:Test (Best Model) - Loss: 1.5695 - Accuracy: 0.3095 - F1: 0.2988
sub_4:Test (Best Model) - Loss: 1.5556 - Accuracy: 0.2952 - F1: 0.2775
sub_4:Test (Best Model) - Loss: 1.5681 - Accuracy: 0.3238 - F1: 0.3010
sub_4:Test (Best Model) - Loss: 1.5827 - Accuracy: 0.2857 - F1: 0.2780
sub_4:Test (Best Model) - Loss: 1.5881 - Accuracy: 0.2619 - F1: 0.2380
sub_4:Test (Best Model) - Loss: 1.5579 - Accuracy: 0.2952 - F1: 0.3046
sub_4:Test (Best Model) - Loss: 1.5432 - Accuracy: 0.3238 - F1: 0.3284
sub_4:Test (Best Model) - Loss: 1.5605 - Accuracy: 0.3333 - F1: 0.3262
sub_4:Test (Best Model) - Loss: 1.4790 - Accuracy: 0.3762 - F1: 0.3432
sub_4:Test (Best Model) - Loss: 1.5183 - Accuracy: 0.3905 - F1: 0.3698
sub_4:Test (Best Model) - Loss: 1.5218 - Accuracy: 0.3524 - F1: 0.3136
sub_4:Test (Best Model) - Loss: 1.5542 - Accuracy: 0.3143 - F1: 0.2876
sub_4:Test (Best Model) - Loss: 1.4725 - Accuracy: 0.3238 - F1: 0.3077
sub_5:Test (Best Model) - Loss: 1.6312 - Accuracy: 0.3762 - F1: 0.3369
sub_5:Test (Best Model) - Loss: 1.6324 - Accuracy: 0.3762 - F1: 0.3185
sub_5:Test (Best Model) - Loss: 1.4966 - Accuracy: 0.3905 - F1: 0.3414
sub_5:Test (Best Model) - Loss: 1.5092 - Accuracy: 0.3857 - F1: 0.3329
sub_5:Test (Best Model) - Loss: 1.5282 - Accuracy: 0.3810 - F1: 0.3361
sub_5:Test (Best Model) - Loss: 1.4718 - Accuracy: 0.3762 - F1: 0.3820
sub_5:Test (Best Model) - Loss: 1.5603 - Accuracy: 0.3476 - F1: 0.3517
sub_5:Test (Best Model) - Loss: 1.4767 - Accuracy: 0.4143 - F1: 0.4232
sub_5:Test (Best Model) - Loss: 1.4516 - Accuracy: 0.3905 - F1: 0.3904
sub_5:Test (Best Model) - Loss: 1.4962 - Accuracy: 0.3714 - F1: 0.3737
sub_5:Test (Best Model) - Loss: 1.4553 - Accuracy: 0.3524 - F1: 0.3637
sub_5:Test (Best Model) - Loss: 1.4475 - Accuracy: 0.3714 - F1: 0.3918
sub_5:Test (Best Model) - Loss: 1.4865 - Accuracy: 0.3381 - F1: 0.3596
sub_5:Test (Best Model) - Loss: 1.4817 - Accuracy: 0.2905 - F1: 0.3084
sub_5:Test (Best Model) - Loss: 1.4588 - Accuracy: 0.3857 - F1: 0.4030
sub_6:Test (Best Model) - Loss: 1.6663 - Accuracy: 0.2381 - F1: 0.2363
sub_6:Test (Best Model) - Loss: 1.6434 - Accuracy: 0.2667 - F1: 0.2681
sub_6:Test (Best Model) - Loss: 1.6788 - Accuracy: 0.2476 - F1: 0.2459
sub_6:Test (Best Model) - Loss: 1.6472 - Accuracy: 0.2762 - F1: 0.2561
sub_6:Test (Best Model) - Loss: 1.5891 - Accuracy: 0.3429 - F1: 0.3296
sub_6:Test (Best Model) - Loss: 1.7302 - Accuracy: 0.2571 - F1: 0.2564
sub_6:Test (Best Model) - Loss: 1.6468 - Accuracy: 0.2762 - F1: 0.2702
sub_6:Test (Best Model) - Loss: 1.6399 - Accuracy: 0.2857 - F1: 0.2813
sub_6:Test (Best Model) - Loss: 1.6263 - Accuracy: 0.2810 - F1: 0.2643
sub_6:Test (Best Model) - Loss: 1.5394 - Accuracy: 0.3238 - F1: 0.3205
sub_6:Test (Best Model) - Loss: 1.6248 - Accuracy: 0.2714 - F1: 0.2657
sub_6:Test (Best Model) - Loss: 1.6405 - Accuracy: 0.2381 - F1: 0.2372
sub_6:Test (Best Model) - Loss: 1.5699 - Accuracy: 0.2952 - F1: 0.2854
sub_6:Test (Best Model) - Loss: 1.6186 - Accuracy: 0.2667 - F1: 0.2509
sub_6:Test (Best Model) - Loss: 1.6262 - Accuracy: 0.2905 - F1: 0.2905
sub_7:Test (Best Model) - Loss: 1.7149 - Accuracy: 0.2381 - F1: 0.2271
sub_7:Test (Best Model) - Loss: 1.7221 - Accuracy: 0.2476 - F1: 0.2378
sub_7:Test (Best Model) - Loss: 1.7224 - Accuracy: 0.2619 - F1: 0.2484
sub_7:Test (Best Model) - Loss: 1.7101 - Accuracy: 0.2429 - F1: 0.2257
sub_7:Test (Best Model) - Loss: 1.7120 - Accuracy: 0.2286 - F1: 0.2137
sub_7:Test (Best Model) - Loss: 1.6913 - Accuracy: 0.2238 - F1: 0.2202
sub_7:Test (Best Model) - Loss: 1.6214 - Accuracy: 0.2190 - F1: 0.2132
sub_7:Test (Best Model) - Loss: 1.6590 - Accuracy: 0.2286 - F1: 0.2360
sub_7:Test (Best Model) - Loss: 1.7143 - Accuracy: 0.1952 - F1: 0.1922
sub_7:Test (Best Model) - Loss: 1.6571 - Accuracy: 0.2048 - F1: 0.2044
sub_7:Test (Best Model) - Loss: 1.6428 - Accuracy: 0.2381 - F1: 0.2402
sub_7:Test (Best Model) - Loss: 1.6762 - Accuracy: 0.2714 - F1: 0.2591
sub_7:Test (Best Model) - Loss: 1.6455 - Accuracy: 0.2524 - F1: 0.2500
sub_7:Test (Best Model) - Loss: 1.6521 - Accuracy: 0.2429 - F1: 0.2490
sub_7:Test (Best Model) - Loss: 1.6304 - Accuracy: 0.2524 - F1: 0.2549
sub_8:Test (Best Model) - Loss: 1.4635 - Accuracy: 0.4143 - F1: 0.3832
sub_8:Test (Best Model) - Loss: 1.4762 - Accuracy: 0.4000 - F1: 0.3736
sub_8:Test (Best Model) - Loss: 1.5048 - Accuracy: 0.4000 - F1: 0.3752
sub_8:Test (Best Model) - Loss: 1.4989 - Accuracy: 0.3714 - F1: 0.3480
sub_8:Test (Best Model) - Loss: 1.5298 - Accuracy: 0.4048 - F1: 0.3744
sub_8:Test (Best Model) - Loss: 1.4306 - Accuracy: 0.3762 - F1: 0.3877
sub_8:Test (Best Model) - Loss: 1.4719 - Accuracy: 0.3476 - F1: 0.3604
sub_8:Test (Best Model) - Loss: 1.4007 - Accuracy: 0.4048 - F1: 0.4083
sub_8:Test (Best Model) - Loss: 1.4098 - Accuracy: 0.3476 - F1: 0.3565
sub_8:Test (Best Model) - Loss: 1.4571 - Accuracy: 0.3571 - F1: 0.3712
sub_8:Test (Best Model) - Loss: 1.5537 - Accuracy: 0.3762 - F1: 0.3902
sub_8:Test (Best Model) - Loss: 1.5849 - Accuracy: 0.3381 - F1: 0.3523
sub_8:Test (Best Model) - Loss: 1.5218 - Accuracy: 0.3857 - F1: 0.3885
sub_8:Test (Best Model) - Loss: 1.4926 - Accuracy: 0.3524 - F1: 0.3583
sub_8:Test (Best Model) - Loss: 1.5769 - Accuracy: 0.3238 - F1: 0.3382
sub_9:Test (Best Model) - Loss: 1.5250 - Accuracy: 0.3476 - F1: 0.3067
sub_9:Test (Best Model) - Loss: 1.5727 - Accuracy: 0.2857 - F1: 0.2487
sub_9:Test (Best Model) - Loss: 1.5045 - Accuracy: 0.3476 - F1: 0.3063
sub_9:Test (Best Model) - Loss: 1.5722 - Accuracy: 0.3000 - F1: 0.2447
sub_9:Test (Best Model) - Loss: 1.5754 - Accuracy: 0.3095 - F1: 0.2622
sub_9:Test (Best Model) - Loss: 1.5325 - Accuracy: 0.3429 - F1: 0.3341
sub_9:Test (Best Model) - Loss: 1.5548 - Accuracy: 0.3333 - F1: 0.3222
sub_9:Test (Best Model) - Loss: 1.5552 - Accuracy: 0.3286 - F1: 0.3139
sub_9:Test (Best Model) - Loss: 1.5512 - Accuracy: 0.3619 - F1: 0.3457
sub_9:Test (Best Model) - Loss: 1.5222 - Accuracy: 0.3333 - F1: 0.3088
sub_9:Test (Best Model) - Loss: 1.6863 - Accuracy: 0.2048 - F1: 0.2086
sub_9:Test (Best Model) - Loss: 1.6126 - Accuracy: 0.2667 - F1: 0.2738
sub_9:Test (Best Model) - Loss: 1.6516 - Accuracy: 0.2905 - F1: 0.2963
sub_9:Test (Best Model) - Loss: 1.6043 - Accuracy: 0.2476 - F1: 0.2550
sub_9:Test (Best Model) - Loss: 1.5746 - Accuracy: 0.2619 - F1: 0.2687
sub_10:Test (Best Model) - Loss: 1.6420 - Accuracy: 0.2905 - F1: 0.2799
sub_10:Test (Best Model) - Loss: 1.6325 - Accuracy: 0.2714 - F1: 0.2676
sub_10:Test (Best Model) - Loss: 1.6549 - Accuracy: 0.2524 - F1: 0.2540
sub_10:Test (Best Model) - Loss: 1.6411 - Accuracy: 0.2905 - F1: 0.2847
sub_10:Test (Best Model) - Loss: 1.6444 - Accuracy: 0.3000 - F1: 0.2983
sub_10:Test (Best Model) - Loss: 1.6441 - Accuracy: 0.2667 - F1: 0.2586
sub_10:Test (Best Model) - Loss: 1.6120 - Accuracy: 0.2952 - F1: 0.2889
sub_10:Test (Best Model) - Loss: 1.5860 - Accuracy: 0.3238 - F1: 0.3187
sub_10:Test (Best Model) - Loss: 1.5662 - Accuracy: 0.2857 - F1: 0.2838
sub_10:Test (Best Model) - Loss: 1.6272 - Accuracy: 0.2333 - F1: 0.2318
sub_10:Test (Best Model) - Loss: 1.6979 - Accuracy: 0.2762 - F1: 0.2716
sub_10:Test (Best Model) - Loss: 1.5929 - Accuracy: 0.2905 - F1: 0.2888
sub_10:Test (Best Model) - Loss: 1.6115 - Accuracy: 0.3238 - F1: 0.3214
sub_10:Test (Best Model) - Loss: 1.6125 - Accuracy: 0.2524 - F1: 0.2497
sub_10:Test (Best Model) - Loss: 1.6767 - Accuracy: 0.2476 - F1: 0.2513
sub_11:Test (Best Model) - Loss: 1.6506 - Accuracy: 0.2476 - F1: 0.2400
sub_11:Test (Best Model) - Loss: 1.6689 - Accuracy: 0.2476 - F1: 0.2453
sub_11:Test (Best Model) - Loss: 1.7116 - Accuracy: 0.2571 - F1: 0.2451
sub_11:Test (Best Model) - Loss: 1.6826 - Accuracy: 0.2143 - F1: 0.2022
sub_11:Test (Best Model) - Loss: 1.6314 - Accuracy: 0.3238 - F1: 0.3001
sub_11:Test (Best Model) - Loss: 1.5590 - Accuracy: 0.2762 - F1: 0.2827
sub_11:Test (Best Model) - Loss: 1.5636 - Accuracy: 0.2857 - F1: 0.2952
sub_11:Test (Best Model) - Loss: 1.5254 - Accuracy: 0.3143 - F1: 0.3187
sub_11:Test (Best Model) - Loss: 1.5550 - Accuracy: 0.3286 - F1: 0.3372
sub_11:Test (Best Model) - Loss: 1.5770 - Accuracy: 0.3048 - F1: 0.3100
sub_11:Test (Best Model) - Loss: 1.5807 - Accuracy: 0.3095 - F1: 0.3096
sub_11:Test (Best Model) - Loss: 1.5421 - Accuracy: 0.3619 - F1: 0.3528
sub_11:Test (Best Model) - Loss: 1.5794 - Accuracy: 0.3095 - F1: 0.3093
sub_11:Test (Best Model) - Loss: 1.5965 - Accuracy: 0.2810 - F1: 0.2824
sub_11:Test (Best Model) - Loss: 1.5745 - Accuracy: 0.3524 - F1: 0.3566
sub_12:Test (Best Model) - Loss: 1.4910 - Accuracy: 0.3190 - F1: 0.3191
sub_12:Test (Best Model) - Loss: 1.4821 - Accuracy: 0.3429 - F1: 0.3468
sub_12:Test (Best Model) - Loss: 1.4580 - Accuracy: 0.3810 - F1: 0.3792
sub_12:Test (Best Model) - Loss: 1.4465 - Accuracy: 0.3619 - F1: 0.3600
sub_12:Test (Best Model) - Loss: 1.4799 - Accuracy: 0.2762 - F1: 0.2865
sub_12:Test (Best Model) - Loss: 1.6192 - Accuracy: 0.3000 - F1: 0.2400
sub_12:Test (Best Model) - Loss: 1.5976 - Accuracy: 0.3048 - F1: 0.2510
sub_12:Test (Best Model) - Loss: 1.6289 - Accuracy: 0.3000 - F1: 0.2450
sub_12:Test (Best Model) - Loss: 1.5797 - Accuracy: 0.3048 - F1: 0.2478
sub_12:Test (Best Model) - Loss: 1.5673 - Accuracy: 0.3095 - F1: 0.2573
sub_12:Test (Best Model) - Loss: 1.6992 - Accuracy: 0.2429 - F1: 0.2624
sub_12:Test (Best Model) - Loss: 1.7467 - Accuracy: 0.2190 - F1: 0.2354
sub_12:Test (Best Model) - Loss: 1.6808 - Accuracy: 0.2667 - F1: 0.2881
sub_12:Test (Best Model) - Loss: 1.6222 - Accuracy: 0.2857 - F1: 0.3044
sub_12:Test (Best Model) - Loss: 1.7000 - Accuracy: 0.2619 - F1: 0.2824
sub_13:Test (Best Model) - Loss: 1.5638 - Accuracy: 0.2905 - F1: 0.2808
sub_13:Test (Best Model) - Loss: 1.5780 - Accuracy: 0.2524 - F1: 0.2452
sub_13:Test (Best Model) - Loss: 1.5688 - Accuracy: 0.2429 - F1: 0.2290
sub_13:Test (Best Model) - Loss: 1.5832 - Accuracy: 0.2619 - F1: 0.2543
sub_13:Test (Best Model) - Loss: 1.5854 - Accuracy: 0.2667 - F1: 0.2548
sub_13:Test (Best Model) - Loss: 1.6403 - Accuracy: 0.2619 - F1: 0.2589
sub_13:Test (Best Model) - Loss: 1.6169 - Accuracy: 0.3000 - F1: 0.2722
sub_13:Test (Best Model) - Loss: 1.6018 - Accuracy: 0.2571 - F1: 0.2436
sub_13:Test (Best Model) - Loss: 1.5227 - Accuracy: 0.3095 - F1: 0.3005
sub_13:Test (Best Model) - Loss: 1.5559 - Accuracy: 0.2905 - F1: 0.2713
sub_13:Test (Best Model) - Loss: 1.5403 - Accuracy: 0.2714 - F1: 0.2598
sub_13:Test (Best Model) - Loss: 1.5296 - Accuracy: 0.3286 - F1: 0.3146
sub_13:Test (Best Model) - Loss: 1.5719 - Accuracy: 0.3000 - F1: 0.2799
sub_13:Test (Best Model) - Loss: 1.5420 - Accuracy: 0.3190 - F1: 0.2968
sub_13:Test (Best Model) - Loss: 1.6031 - Accuracy: 0.2714 - F1: 0.2521
sub_14:Test (Best Model) - Loss: 1.6900 - Accuracy: 0.3095 - F1: 0.3235
sub_14:Test (Best Model) - Loss: 1.6329 - Accuracy: 0.3381 - F1: 0.3584
sub_14:Test (Best Model) - Loss: 1.5373 - Accuracy: 0.3905 - F1: 0.4128
sub_14:Test (Best Model) - Loss: 1.5687 - Accuracy: 0.3524 - F1: 0.3590
sub_14:Test (Best Model) - Loss: 1.6411 - Accuracy: 0.2667 - F1: 0.2748
sub_14:Test (Best Model) - Loss: 1.4490 - Accuracy: 0.4048 - F1: 0.3572
sub_14:Test (Best Model) - Loss: 1.5017 - Accuracy: 0.3810 - F1: 0.3317
sub_14:Test (Best Model) - Loss: 1.5325 - Accuracy: 0.4095 - F1: 0.3657
sub_14:Test (Best Model) - Loss: 1.4738 - Accuracy: 0.4190 - F1: 0.3851
sub_14:Test (Best Model) - Loss: 1.4956 - Accuracy: 0.3762 - F1: 0.3342
sub_14:Test (Best Model) - Loss: 1.5545 - Accuracy: 0.3810 - F1: 0.3543
sub_14:Test (Best Model) - Loss: 1.5390 - Accuracy: 0.3667 - F1: 0.3108
sub_14:Test (Best Model) - Loss: 1.5480 - Accuracy: 0.3381 - F1: 0.2980
sub_14:Test (Best Model) - Loss: 1.5354 - Accuracy: 0.3524 - F1: 0.3057
sub_14:Test (Best Model) - Loss: 1.6140 - Accuracy: 0.3619 - F1: 0.3134

=== Summary Results ===

acc: 31.03 ± 3.83
F1: 29.76 ± 3.78
acc-in: 35.85 ± 4.15
F1-in: 35.04 ± 4.19
