lr: 0.001
sub_6:Test (Best Model) - Loss: 1.5872 - Accuracy: 0.2095 - F1: 0.1257
sub_1:Test (Best Model) - Loss: 3.1668 - Accuracy: 0.3429 - F1: 0.2533
sub_13:Test (Best Model) - Loss: 1.9059 - Accuracy: 0.3714 - F1: 0.2524
sub_2:Test (Best Model) - Loss: 1.5072 - Accuracy: 0.3476 - F1: 0.2340
sub_8:Test (Best Model) - Loss: 1.2042 - Accuracy: 0.3810 - F1: 0.2667
sub_12:Test (Best Model) - Loss: 1.3044 - Accuracy: 0.3619 - F1: 0.2492
sub_4:Test (Best Model) - Loss: 1.4846 - Accuracy: 0.3429 - F1: 0.2143
sub_14:Test (Best Model) - Loss: 1.7063 - Accuracy: 0.4048 - F1: 0.3578
sub_3:Test (Best Model) - Loss: 1.2977 - Accuracy: 0.3857 - F1: 0.2661
sub_11:Test (Best Model) - Loss: 1.5310 - Accuracy: 0.4619 - F1: 0.4115
sub_9:Test (Best Model) - Loss: 1.2158 - Accuracy: 0.3905 - F1: 0.2744
sub_5:Test (Best Model) - Loss: 3.1262 - Accuracy: 0.3095 - F1: 0.2237
sub_10:Test (Best Model) - Loss: 1.8270 - Accuracy: 0.3571 - F1: 0.3005
sub_2:Test (Best Model) - Loss: 1.8281 - Accuracy: 0.3429 - F1: 0.2041
sub_6:Test (Best Model) - Loss: 1.5290 - Accuracy: 0.3286 - F1: 0.2575
sub_13:Test (Best Model) - Loss: 2.1189 - Accuracy: 0.3381 - F1: 0.2529
sub_7:Test (Best Model) - Loss: 1.5781 - Accuracy: 0.3190 - F1: 0.2132
sub_11:Test (Best Model) - Loss: 1.5994 - Accuracy: 0.3381 - F1: 0.2238
sub_12:Test (Best Model) - Loss: 1.4407 - Accuracy: 0.3143 - F1: 0.2251
sub_8:Test (Best Model) - Loss: 2.0798 - Accuracy: 0.3714 - F1: 0.2367
sub_3:Test (Best Model) - Loss: 2.0090 - Accuracy: 0.3619 - F1: 0.2225
sub_14:Test (Best Model) - Loss: 1.4669 - Accuracy: 0.4286 - F1: 0.4306
sub_9:Test (Best Model) - Loss: 1.1776 - Accuracy: 0.4190 - F1: 0.3318
sub_1:Test (Best Model) - Loss: 2.4577 - Accuracy: 0.2619 - F1: 0.1707
sub_10:Test (Best Model) - Loss: 1.2635 - Accuracy: 0.4333 - F1: 0.3703
sub_4:Test (Best Model) - Loss: 1.7780 - Accuracy: 0.4095 - F1: 0.3433
sub_7:Test (Best Model) - Loss: 1.6140 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 1.5648 - Accuracy: 0.2667 - F1: 0.1482
sub_8:Test (Best Model) - Loss: 1.1986 - Accuracy: 0.4333 - F1: 0.3558
sub_12:Test (Best Model) - Loss: 1.2989 - Accuracy: 0.3762 - F1: 0.2590
sub_5:Test (Best Model) - Loss: 2.3916 - Accuracy: 0.2238 - F1: 0.1745
sub_9:Test (Best Model) - Loss: 1.8924 - Accuracy: 0.3762 - F1: 0.2188
sub_2:Test (Best Model) - Loss: 1.6082 - Accuracy: 0.3524 - F1: 0.2116
sub_14:Test (Best Model) - Loss: 1.4823 - Accuracy: 0.3714 - F1: 0.3193
sub_10:Test (Best Model) - Loss: 1.5504 - Accuracy: 0.3905 - F1: 0.2489
sub_11:Test (Best Model) - Loss: 1.5091 - Accuracy: 0.4810 - F1: 0.4222
sub_3:Test (Best Model) - Loss: 3.2407 - Accuracy: 0.3190 - F1: 0.1817
sub_4:Test (Best Model) - Loss: 1.5943 - Accuracy: 0.2476 - F1: 0.1422
sub_8:Test (Best Model) - Loss: 1.3938 - Accuracy: 0.3571 - F1: 0.2361
sub_1:Test (Best Model) - Loss: 2.1061 - Accuracy: 0.3476 - F1: 0.1980
sub_6:Test (Best Model) - Loss: 1.4590 - Accuracy: 0.3143 - F1: 0.2180
sub_12:Test (Best Model) - Loss: 1.3213 - Accuracy: 0.4048 - F1: 0.2946
sub_9:Test (Best Model) - Loss: 1.3223 - Accuracy: 0.4095 - F1: 0.3303
sub_5:Test (Best Model) - Loss: 2.8021 - Accuracy: 0.3476 - F1: 0.3203
sub_13:Test (Best Model) - Loss: 2.8193 - Accuracy: 0.4048 - F1: 0.3081
sub_14:Test (Best Model) - Loss: 1.6110 - Accuracy: 0.4048 - F1: 0.3532
sub_10:Test (Best Model) - Loss: 2.2086 - Accuracy: 0.3048 - F1: 0.2022
sub_2:Test (Best Model) - Loss: 2.0548 - Accuracy: 0.4286 - F1: 0.3327
sub_11:Test (Best Model) - Loss: 1.4762 - Accuracy: 0.4238 - F1: 0.3581
sub_3:Test (Best Model) - Loss: 1.5720 - Accuracy: 0.3095 - F1: 0.2306
sub_7:Test (Best Model) - Loss: 1.5983 - Accuracy: 0.2952 - F1: 0.1926
sub_1:Test (Best Model) - Loss: 1.8380 - Accuracy: 0.3048 - F1: 0.1990
sub_6:Test (Best Model) - Loss: 1.3320 - Accuracy: 0.3667 - F1: 0.2486
sub_8:Test (Best Model) - Loss: 1.6135 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 1.3167 - Accuracy: 0.3810 - F1: 0.2906
sub_13:Test (Best Model) - Loss: 1.9683 - Accuracy: 0.3333 - F1: 0.2393
sub_9:Test (Best Model) - Loss: 1.1417 - Accuracy: 0.3952 - F1: 0.2772
sub_5:Test (Best Model) - Loss: 2.8771 - Accuracy: 0.3000 - F1: 0.2695
sub_10:Test (Best Model) - Loss: 1.5644 - Accuracy: 0.4143 - F1: 0.2975
sub_14:Test (Best Model) - Loss: 1.8036 - Accuracy: 0.3238 - F1: 0.2868
sub_11:Test (Best Model) - Loss: 1.3205 - Accuracy: 0.4429 - F1: 0.3776
sub_3:Test (Best Model) - Loss: 2.9899 - Accuracy: 0.3381 - F1: 0.1972
sub_7:Test (Best Model) - Loss: 1.6033 - Accuracy: 0.2905 - F1: 0.1953
sub_8:Test (Best Model) - Loss: 1.1252 - Accuracy: 0.4000 - F1: 0.2800
sub_12:Test (Best Model) - Loss: 1.7649 - Accuracy: 0.3667 - F1: 0.2777
sub_6:Test (Best Model) - Loss: 1.4571 - Accuracy: 0.3095 - F1: 0.2226
sub_4:Test (Best Model) - Loss: 1.6201 - Accuracy: 0.4857 - F1: 0.4114
sub_13:Test (Best Model) - Loss: 2.0893 - Accuracy: 0.3286 - F1: 0.1858
sub_9:Test (Best Model) - Loss: 2.3299 - Accuracy: 0.3381 - F1: 0.2346
sub_5:Test (Best Model) - Loss: 1.6656 - Accuracy: 0.3286 - F1: 0.2401
sub_2:Test (Best Model) - Loss: 1.9805 - Accuracy: 0.3905 - F1: 0.2945
sub_3:Test (Best Model) - Loss: 1.2146 - Accuracy: 0.3810 - F1: 0.2685
sub_7:Test (Best Model) - Loss: 1.4886 - Accuracy: 0.3429 - F1: 0.2274
sub_8:Test (Best Model) - Loss: 1.1976 - Accuracy: 0.4095 - F1: 0.2823
sub_12:Test (Best Model) - Loss: 1.6102 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 1.2829 - Accuracy: 0.3619 - F1: 0.2540
sub_4:Test (Best Model) - Loss: 1.5697 - Accuracy: 0.4143 - F1: 0.3076
sub_13:Test (Best Model) - Loss: 1.6824 - Accuracy: 0.3190 - F1: 0.2721
sub_11:Test (Best Model) - Loss: 1.5620 - Accuracy: 0.4095 - F1: 0.3298
sub_9:Test (Best Model) - Loss: 2.9626 - Accuracy: 0.3619 - F1: 0.2309
sub_2:Test (Best Model) - Loss: 1.2177 - Accuracy: 0.4238 - F1: 0.3341
sub_10:Test (Best Model) - Loss: 1.4113 - Accuracy: 0.3667 - F1: 0.2415
sub_3:Test (Best Model) - Loss: 1.2650 - Accuracy: 0.3619 - F1: 0.2560
sub_14:Test (Best Model) - Loss: 1.2557 - Accuracy: 0.4190 - F1: 0.3553
sub_7:Test (Best Model) - Loss: 1.6097 - Accuracy: 0.2000 - F1: 0.0667
sub_8:Test (Best Model) - Loss: 1.1954 - Accuracy: 0.4000 - F1: 0.2780
sub_4:Test (Best Model) - Loss: 1.4120 - Accuracy: 0.3524 - F1: 0.2340
sub_12:Test (Best Model) - Loss: 1.6767 - Accuracy: 0.3619 - F1: 0.2535
sub_5:Test (Best Model) - Loss: 1.5218 - Accuracy: 0.4381 - F1: 0.3464
sub_9:Test (Best Model) - Loss: 1.6106 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 3.7373 - Accuracy: 0.3905 - F1: 0.2619
sub_2:Test (Best Model) - Loss: 1.1677 - Accuracy: 0.4667 - F1: 0.4377
sub_10:Test (Best Model) - Loss: 1.9245 - Accuracy: 0.3619 - F1: 0.2361
sub_11:Test (Best Model) - Loss: 1.3561 - Accuracy: 0.3810 - F1: 0.2575
sub_14:Test (Best Model) - Loss: 1.2711 - Accuracy: 0.5000 - F1: 0.4323
sub_13:Test (Best Model) - Loss: 1.8842 - Accuracy: 0.3381 - F1: 0.2810
sub_9:Test (Best Model) - Loss: 1.3823 - Accuracy: 0.3524 - F1: 0.2333
sub_2:Test (Best Model) - Loss: 1.3725 - Accuracy: 0.3333 - F1: 0.2469
sub_3:Test (Best Model) - Loss: 1.3683 - Accuracy: 0.3524 - F1: 0.2385
sub_7:Test (Best Model) - Loss: 1.6098 - Accuracy: 0.2000 - F1: 0.0667
sub_8:Test (Best Model) - Loss: 1.2891 - Accuracy: 0.4095 - F1: 0.2891
sub_6:Test (Best Model) - Loss: 1.5106 - Accuracy: 0.2905 - F1: 0.2382
sub_14:Test (Best Model) - Loss: 1.2853 - Accuracy: 0.4905 - F1: 0.4246
sub_1:Test (Best Model) - Loss: 1.4861 - Accuracy: 0.3095 - F1: 0.2098
sub_11:Test (Best Model) - Loss: 1.3393 - Accuracy: 0.4952 - F1: 0.4312
sub_8:Test (Best Model) - Loss: 1.1477 - Accuracy: 0.3952 - F1: 0.2761
sub_12:Test (Best Model) - Loss: 1.9933 - Accuracy: 0.4095 - F1: 0.3279
sub_9:Test (Best Model) - Loss: 2.4726 - Accuracy: 0.3333 - F1: 0.2080
sub_13:Test (Best Model) - Loss: 1.5254 - Accuracy: 0.4143 - F1: 0.3498
sub_6:Test (Best Model) - Loss: 1.4608 - Accuracy: 0.3238 - F1: 0.2125
sub_4:Test (Best Model) - Loss: 1.3657 - Accuracy: 0.3762 - F1: 0.3183
sub_14:Test (Best Model) - Loss: 1.3571 - Accuracy: 0.4857 - F1: 0.3886
sub_10:Test (Best Model) - Loss: 1.5687 - Accuracy: 0.3714 - F1: 0.3101
sub_5:Test (Best Model) - Loss: 2.3782 - Accuracy: 0.4905 - F1: 0.4605
sub_11:Test (Best Model) - Loss: 1.2529 - Accuracy: 0.4381 - F1: 0.3832
sub_3:Test (Best Model) - Loss: 1.3177 - Accuracy: 0.3619 - F1: 0.2471
sub_8:Test (Best Model) - Loss: 1.9813 - Accuracy: 0.3667 - F1: 0.2408
sub_9:Test (Best Model) - Loss: 1.5245 - Accuracy: 0.3048 - F1: 0.2102
sub_12:Test (Best Model) - Loss: 1.6979 - Accuracy: 0.3333 - F1: 0.2172
sub_6:Test (Best Model) - Loss: 1.4474 - Accuracy: 0.3286 - F1: 0.2250
sub_7:Test (Best Model) - Loss: 1.3346 - Accuracy: 0.3857 - F1: 0.2588
sub_4:Test (Best Model) - Loss: 1.4032 - Accuracy: 0.3905 - F1: 0.3423
sub_14:Test (Best Model) - Loss: 1.4225 - Accuracy: 0.2952 - F1: 0.2121
sub_10:Test (Best Model) - Loss: 1.3798 - Accuracy: 0.3667 - F1: 0.2498
sub_1:Test (Best Model) - Loss: 1.6271 - Accuracy: 0.3810 - F1: 0.3141
sub_3:Test (Best Model) - Loss: 1.2800 - Accuracy: 0.3905 - F1: 0.3235
sub_11:Test (Best Model) - Loss: 1.3088 - Accuracy: 0.3619 - F1: 0.2554
sub_13:Test (Best Model) - Loss: 1.4973 - Accuracy: 0.4524 - F1: 0.3804
sub_8:Test (Best Model) - Loss: 1.6100 - Accuracy: 0.2000 - F1: 0.0667
sub_9:Test (Best Model) - Loss: 1.5641 - Accuracy: 0.2905 - F1: 0.1953
sub_2:Test (Best Model) - Loss: 1.5455 - Accuracy: 0.4190 - F1: 0.4115
sub_6:Test (Best Model) - Loss: 1.2968 - Accuracy: 0.3619 - F1: 0.2493
sub_10:Test (Best Model) - Loss: 1.2157 - Accuracy: 0.4476 - F1: 0.3860
sub_14:Test (Best Model) - Loss: 2.0977 - Accuracy: 0.2952 - F1: 0.2331
sub_8:Test (Best Model) - Loss: 1.4570 - Accuracy: 0.3524 - F1: 0.2873
sub_9:Test (Best Model) - Loss: 1.4985 - Accuracy: 0.3143 - F1: 0.2196
sub_11:Test (Best Model) - Loss: 1.2920 - Accuracy: 0.4381 - F1: 0.4070
sub_6:Test (Best Model) - Loss: 1.3581 - Accuracy: 0.3952 - F1: 0.3470
sub_5:Test (Best Model) - Loss: 1.9135 - Accuracy: 0.4810 - F1: 0.4637
sub_12:Test (Best Model) - Loss: 1.5205 - Accuracy: 0.3000 - F1: 0.2043
sub_4:Test (Best Model) - Loss: 1.5088 - Accuracy: 0.2619 - F1: 0.1648
sub_3:Test (Best Model) - Loss: 1.5901 - Accuracy: 0.2905 - F1: 0.1947
sub_2:Test (Best Model) - Loss: 1.3229 - Accuracy: 0.3571 - F1: 0.2611
sub_7:Test (Best Model) - Loss: 1.6574 - Accuracy: 0.3810 - F1: 0.2583
sub_10:Test (Best Model) - Loss: 1.6947 - Accuracy: 0.2333 - F1: 0.1263
sub_14:Test (Best Model) - Loss: 4.7149 - Accuracy: 0.2952 - F1: 0.2074
sub_13:Test (Best Model) - Loss: 1.4566 - Accuracy: 0.3619 - F1: 0.2153
sub_8:Test (Best Model) - Loss: 1.3047 - Accuracy: 0.3667 - F1: 0.2580
sub_9:Test (Best Model) - Loss: 1.6092 - Accuracy: 0.2667 - F1: 0.1727
sub_11:Test (Best Model) - Loss: 1.4416 - Accuracy: 0.4333 - F1: 0.3940
sub_6:Test (Best Model) - Loss: 1.6856 - Accuracy: 0.2429 - F1: 0.1482
sub_2:Test (Best Model) - Loss: 1.3957 - Accuracy: 0.4381 - F1: 0.4072
sub_5:Test (Best Model) - Loss: 1.5139 - Accuracy: 0.4714 - F1: 0.4019
sub_4:Test (Best Model) - Loss: 1.6165 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.6848 - Accuracy: 0.3048 - F1: 0.2005
sub_12:Test (Best Model) - Loss: 1.2890 - Accuracy: 0.3762 - F1: 0.2742
sub_14:Test (Best Model) - Loss: 2.7352 - Accuracy: 0.3429 - F1: 0.2419
sub_1:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.3952 - F1: 0.3271
sub_8:Test (Best Model) - Loss: 1.4627 - Accuracy: 0.3714 - F1: 0.2485
sub_3:Test (Best Model) - Loss: 1.4357 - Accuracy: 0.3286 - F1: 0.2274
sub_7:Test (Best Model) - Loss: 1.6105 - Accuracy: 0.2000 - F1: 0.0667
sub_9:Test (Best Model) - Loss: 1.5903 - Accuracy: 0.3000 - F1: 0.2010
sub_11:Test (Best Model) - Loss: 1.4064 - Accuracy: 0.4333 - F1: 0.3366
sub_2:Test (Best Model) - Loss: 1.4243 - Accuracy: 0.3524 - F1: 0.2493
sub_12:Test (Best Model) - Loss: 1.4345 - Accuracy: 0.3476 - F1: 0.2431
sub_14:Test (Best Model) - Loss: 1.8629 - Accuracy: 0.3905 - F1: 0.3236
sub_1:Test (Best Model) - Loss: 1.3294 - Accuracy: 0.3571 - F1: 0.2522
sub_3:Test (Best Model) - Loss: 1.6072 - Accuracy: 0.2095 - F1: 0.0854
sub_7:Test (Best Model) - Loss: 1.4660 - Accuracy: 0.3190 - F1: 0.2174
sub_4:Test (Best Model) - Loss: 1.9109 - Accuracy: 0.3857 - F1: 0.3090
sub_10:Test (Best Model) - Loss: 1.7812 - Accuracy: 0.2524 - F1: 0.1684
sub_6:Test (Best Model) - Loss: 1.6485 - Accuracy: 0.3190 - F1: 0.2419
sub_12:Test (Best Model) - Loss: 1.4098 - Accuracy: 0.4048 - F1: 0.3291
sub_14:Test (Best Model) - Loss: 2.2056 - Accuracy: 0.3333 - F1: 0.2357
sub_5:Test (Best Model) - Loss: 1.7897 - Accuracy: 0.4476 - F1: 0.3926
sub_3:Test (Best Model) - Loss: 1.8090 - Accuracy: 0.3000 - F1: 0.1909
sub_11:Test (Best Model) - Loss: 1.6823 - Accuracy: 0.4190 - F1: 0.3492
sub_12:Test (Best Model) - Loss: 1.3705 - Accuracy: 0.3571 - F1: 0.2488
sub_7:Test (Best Model) - Loss: 1.5023 - Accuracy: 0.3000 - F1: 0.2036
sub_2:Test (Best Model) - Loss: 1.5825 - Accuracy: 0.3714 - F1: 0.2441
sub_6:Test (Best Model) - Loss: 1.6393 - Accuracy: 0.2619 - F1: 0.1663
sub_13:Test (Best Model) - Loss: 1.7872 - Accuracy: 0.3952 - F1: 0.2890
sub_3:Test (Best Model) - Loss: 1.5782 - Accuracy: 0.3048 - F1: 0.2046
sub_5:Test (Best Model) - Loss: 1.8211 - Accuracy: 0.2905 - F1: 0.2269
sub_10:Test (Best Model) - Loss: 2.0387 - Accuracy: 0.2524 - F1: 0.1600
sub_1:Test (Best Model) - Loss: 1.4801 - Accuracy: 0.4190 - F1: 0.3897
sub_11:Test (Best Model) - Loss: 1.4118 - Accuracy: 0.3714 - F1: 0.2486
sub_13:Test (Best Model) - Loss: 1.4199 - Accuracy: 0.3571 - F1: 0.2542
sub_4:Test (Best Model) - Loss: 1.8936 - Accuracy: 0.4286 - F1: 0.3821
sub_10:Test (Best Model) - Loss: 1.7048 - Accuracy: 0.2524 - F1: 0.1530
sub_2:Test (Best Model) - Loss: 1.2861 - Accuracy: 0.3905 - F1: 0.3322
sub_5:Test (Best Model) - Loss: 2.0834 - Accuracy: 0.3905 - F1: 0.3289
sub_7:Test (Best Model) - Loss: 1.4328 - Accuracy: 0.3524 - F1: 0.2403
sub_13:Test (Best Model) - Loss: 1.6071 - Accuracy: 0.3190 - F1: 0.2146
sub_4:Test (Best Model) - Loss: 1.4727 - Accuracy: 0.3381 - F1: 0.2851
sub_1:Test (Best Model) - Loss: 1.3962 - Accuracy: 0.4333 - F1: 0.3850
sub_5:Test (Best Model) - Loss: 1.5243 - Accuracy: 0.4381 - F1: 0.4134
sub_2:Test (Best Model) - Loss: 1.7014 - Accuracy: 0.3857 - F1: 0.3666
sub_7:Test (Best Model) - Loss: 1.5870 - Accuracy: 0.3714 - F1: 0.2436
sub_5:Test (Best Model) - Loss: 1.7980 - Accuracy: 0.4000 - F1: 0.3697
sub_1:Test (Best Model) - Loss: 1.4889 - Accuracy: 0.3143 - F1: 0.2305
sub_4:Test (Best Model) - Loss: 1.6094 - Accuracy: 0.4190 - F1: 0.3788
sub_13:Test (Best Model) - Loss: 1.5633 - Accuracy: 0.4143 - F1: 0.3469
sub_5:Test (Best Model) - Loss: 1.6845 - Accuracy: 0.3429 - F1: 0.2750
sub_1:Test (Best Model) - Loss: 1.4072 - Accuracy: 0.3714 - F1: 0.3049
sub_7:Test (Best Model) - Loss: 1.4505 - Accuracy: 0.3095 - F1: 0.1926
sub_4:Test (Best Model) - Loss: 1.4637 - Accuracy: 0.3952 - F1: 0.3595
sub_13:Test (Best Model) - Loss: 1.3707 - Accuracy: 0.3333 - F1: 0.2232
sub_1:Test (Best Model) - Loss: 1.3470 - Accuracy: 0.3952 - F1: 0.3379
sub_1:Test (Best Model) - Loss: 1.4784 - Accuracy: 0.4286 - F1: 0.3892

=== Summary Results ===

acc: 35.72 ± 3.09
F1: 26.59 ± 4.56
acc-in: 45.08 ± 3.97
F1-in: 36.37 ± 5.61
