lr: 0.0001
sub_6:Test (Best Model) - Loss: 1.5934 - Accuracy: 0.2190 - F1: 0.1481
sub_7:Test (Best Model) - Loss: 1.6088 - Accuracy: 0.1952 - F1: 0.0739
sub_10:Test (Best Model) - Loss: 1.6078 - Accuracy: 0.2048 - F1: 0.0831
sub_4:Test (Best Model) - Loss: 1.6093 - Accuracy: 0.2000 - F1: 0.0672
sub_9:Test (Best Model) - Loss: 1.5677 - Accuracy: 0.2857 - F1: 0.2158
sub_6:Test (Best Model) - Loss: 1.6098 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.6096 - Accuracy: 0.1762 - F1: 0.1217
sub_5:Test (Best Model) - Loss: 1.6211 - Accuracy: 0.2190 - F1: 0.1016
sub_8:Test (Best Model) - Loss: 1.1564 - Accuracy: 0.4000 - F1: 0.2978
sub_3:Test (Best Model) - Loss: 1.2873 - Accuracy: 0.3476 - F1: 0.2788
sub_2:Test (Best Model) - Loss: 1.4501 - Accuracy: 0.3714 - F1: 0.3006
sub_6:Test (Best Model) - Loss: 1.6096 - Accuracy: 0.2048 - F1: 0.0770
sub_7:Test (Best Model) - Loss: 1.6096 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.4920 - Accuracy: 0.2952 - F1: 0.2227
sub_3:Test (Best Model) - Loss: 1.6070 - Accuracy: 0.1952 - F1: 0.0992
sub_5:Test (Best Model) - Loss: 1.6145 - Accuracy: 0.2000 - F1: 0.0754
sub_1:Test (Best Model) - Loss: 1.6455 - Accuracy: 0.3952 - F1: 0.3100
sub_6:Test (Best Model) - Loss: 1.6095 - Accuracy: 0.2000 - F1: 0.0667
sub_4:Test (Best Model) - Loss: 2.4527 - Accuracy: 0.2333 - F1: 0.1262
sub_9:Test (Best Model) - Loss: 1.1963 - Accuracy: 0.4381 - F1: 0.4149
sub_3:Test (Best Model) - Loss: 1.5364 - Accuracy: 0.3238 - F1: 0.2365
sub_6:Test (Best Model) - Loss: 1.6100 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 2.0702 - Accuracy: 0.3095 - F1: 0.2264
sub_4:Test (Best Model) - Loss: 1.6088 - Accuracy: 0.2095 - F1: 0.0857
sub_5:Test (Best Model) - Loss: 1.4947 - Accuracy: 0.2905 - F1: 0.2173
sub_3:Test (Best Model) - Loss: 1.4510 - Accuracy: 0.3238 - F1: 0.2768
sub_9:Test (Best Model) - Loss: 1.6260 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.3621 - Accuracy: 0.3762 - F1: 0.2831
sub_5:Test (Best Model) - Loss: 1.5958 - Accuracy: 0.3095 - F1: 0.2293
sub_8:Test (Best Model) - Loss: 1.1601 - Accuracy: 0.4048 - F1: 0.3440
sub_7:Test (Best Model) - Loss: 1.8840 - Accuracy: 0.2190 - F1: 0.1242
sub_3:Test (Best Model) - Loss: 1.6070 - Accuracy: 0.2381 - F1: 0.1429
sub_6:Test (Best Model) - Loss: 1.6366 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.3680 - Accuracy: 0.3571 - F1: 0.3063
sub_4:Test (Best Model) - Loss: 1.6092 - Accuracy: 0.2048 - F1: 0.1402
sub_7:Test (Best Model) - Loss: 1.6095 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 1.6101 - Accuracy: 0.2048 - F1: 0.0770
sub_5:Test (Best Model) - Loss: 1.5145 - Accuracy: 0.3048 - F1: 0.1974
sub_6:Test (Best Model) - Loss: 1.6065 - Accuracy: 0.2143 - F1: 0.1217
sub_2:Test (Best Model) - Loss: 1.6281 - Accuracy: 0.2095 - F1: 0.0877
sub_4:Test (Best Model) - Loss: 1.6098 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.6096 - Accuracy: 0.1952 - F1: 0.0659
sub_6:Test (Best Model) - Loss: 1.6114 - Accuracy: 0.2000 - F1: 0.0667
sub_9:Test (Best Model) - Loss: 1.1532 - Accuracy: 0.4190 - F1: 0.3876
sub_5:Test (Best Model) - Loss: 1.6207 - Accuracy: 0.2048 - F1: 0.0847
sub_1:Test (Best Model) - Loss: 1.4496 - Accuracy: 0.4143 - F1: 0.3334
sub_7:Test (Best Model) - Loss: 1.6067 - Accuracy: 0.2333 - F1: 0.1382
sub_8:Test (Best Model) - Loss: 1.2797 - Accuracy: 0.4381 - F1: 0.3768
sub_3:Test (Best Model) - Loss: 1.3883 - Accuracy: 0.3238 - F1: 0.2279
sub_6:Test (Best Model) - Loss: 1.6097 - Accuracy: 0.2000 - F1: 0.0667
sub_5:Test (Best Model) - Loss: 1.5785 - Accuracy: 0.2762 - F1: 0.1787
sub_10:Test (Best Model) - Loss: 1.5585 - Accuracy: 0.2381 - F1: 0.1281
sub_7:Test (Best Model) - Loss: 1.6106 - Accuracy: 0.2000 - F1: 0.0832
sub_4:Test (Best Model) - Loss: 1.4265 - Accuracy: 0.3048 - F1: 0.2073
sub_6:Test (Best Model) - Loss: 1.6096 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 2.1282 - Accuracy: 0.2381 - F1: 0.1246
sub_7:Test (Best Model) - Loss: 1.6092 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 1.6413 - Accuracy: 0.2476 - F1: 0.2019
sub_6:Test (Best Model) - Loss: 1.6634 - Accuracy: 0.1571 - F1: 0.0733
sub_4:Test (Best Model) - Loss: 1.6072 - Accuracy: 0.2714 - F1: 0.2241
sub_10:Test (Best Model) - Loss: 1.6229 - Accuracy: 0.1952 - F1: 0.0748
sub_1:Test (Best Model) - Loss: 1.5456 - Accuracy: 0.3667 - F1: 0.3215
sub_5:Test (Best Model) - Loss: 1.6314 - Accuracy: 0.3000 - F1: 0.2291
sub_7:Test (Best Model) - Loss: 1.6125 - Accuracy: 0.2048 - F1: 0.0764
sub_2:Test (Best Model) - Loss: 1.6242 - Accuracy: 0.2095 - F1: 0.0874
sub_9:Test (Best Model) - Loss: 2.7851 - Accuracy: 0.2048 - F1: 0.0809
sub_1:Test (Best Model) - Loss: 1.5994 - Accuracy: 0.2286 - F1: 0.1198
sub_3:Test (Best Model) - Loss: 1.3227 - Accuracy: 0.3810 - F1: 0.3259
sub_5:Test (Best Model) - Loss: 1.6070 - Accuracy: 0.2286 - F1: 0.1196
sub_7:Test (Best Model) - Loss: 1.6106 - Accuracy: 0.1905 - F1: 0.1140
sub_10:Test (Best Model) - Loss: 1.7030 - Accuracy: 0.2476 - F1: 0.1531
sub_8:Test (Best Model) - Loss: 1.1401 - Accuracy: 0.4476 - F1: 0.3981
sub_6:Test (Best Model) - Loss: 1.7861 - Accuracy: 0.1571 - F1: 0.1325
sub_3:Test (Best Model) - Loss: 1.6082 - Accuracy: 0.2333 - F1: 0.1260
sub_7:Test (Best Model) - Loss: 1.6088 - Accuracy: 0.2000 - F1: 0.0669
sub_8:Test (Best Model) - Loss: 1.4309 - Accuracy: 0.3429 - F1: 0.2397
sub_4:Test (Best Model) - Loss: 1.5959 - Accuracy: 0.2524 - F1: 0.1682
sub_1:Test (Best Model) - Loss: 1.5771 - Accuracy: 0.2476 - F1: 0.1659
sub_10:Test (Best Model) - Loss: 1.5708 - Accuracy: 0.2571 - F1: 0.1667
sub_7:Test (Best Model) - Loss: 1.6096 - Accuracy: 0.2048 - F1: 0.0835
sub_5:Test (Best Model) - Loss: 1.5565 - Accuracy: 0.3143 - F1: 0.2258
sub_2:Test (Best Model) - Loss: 1.3619 - Accuracy: 0.4190 - F1: 0.3068
sub_9:Test (Best Model) - Loss: 2.8987 - Accuracy: 0.1810 - F1: 0.1042
sub_4:Test (Best Model) - Loss: 1.6091 - Accuracy: 0.2048 - F1: 0.0834
sub_6:Test (Best Model) - Loss: 1.9440 - Accuracy: 0.1857 - F1: 0.1132
sub_7:Test (Best Model) - Loss: 1.6097 - Accuracy: 0.2000 - F1: 0.0672
sub_5:Test (Best Model) - Loss: 1.8091 - Accuracy: 0.2000 - F1: 0.0667
sub_8:Test (Best Model) - Loss: 1.4649 - Accuracy: 0.3048 - F1: 0.2234
sub_10:Test (Best Model) - Loss: 1.4535 - Accuracy: 0.3571 - F1: 0.2587
sub_3:Test (Best Model) - Loss: 1.6984 - Accuracy: 0.2524 - F1: 0.2188
sub_4:Test (Best Model) - Loss: 1.4627 - Accuracy: 0.3048 - F1: 0.2069
sub_5:Test (Best Model) - Loss: 1.6131 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 1.2486 - Accuracy: 0.4143 - F1: 0.3191
sub_1:Test (Best Model) - Loss: 1.3705 - Accuracy: 0.3381 - F1: 0.2876
sub_7:Test (Best Model) - Loss: 1.6109 - Accuracy: 0.1810 - F1: 0.1045
sub_9:Test (Best Model) - Loss: 1.5958 - Accuracy: 0.3429 - F1: 0.2922
sub_4:Test (Best Model) - Loss: 1.6119 - Accuracy: 0.2095 - F1: 0.0986
sub_10:Test (Best Model) - Loss: 1.4367 - Accuracy: 0.3190 - F1: 0.2498
sub_5:Test (Best Model) - Loss: 1.7861 - Accuracy: 0.2000 - F1: 0.0667
sub_8:Test (Best Model) - Loss: 1.5342 - Accuracy: 0.3048 - F1: 0.2258
sub_9:Test (Best Model) - Loss: 1.6735 - Accuracy: 0.3476 - F1: 0.2758
sub_10:Test (Best Model) - Loss: 1.5992 - Accuracy: 0.2571 - F1: 0.2176
sub_1:Test (Best Model) - Loss: 1.4734 - Accuracy: 0.3000 - F1: 0.2342
sub_6:Test (Best Model) - Loss: 1.6302 - Accuracy: 0.1905 - F1: 0.1262
sub_3:Test (Best Model) - Loss: 1.3244 - Accuracy: 0.3571 - F1: 0.3135
sub_2:Test (Best Model) - Loss: 1.2351 - Accuracy: 0.3905 - F1: 0.3138
sub_10:Test (Best Model) - Loss: 1.6062 - Accuracy: 0.2048 - F1: 0.0836
sub_5:Test (Best Model) - Loss: 1.6489 - Accuracy: 0.2000 - F1: 0.1274
sub_4:Test (Best Model) - Loss: 1.3856 - Accuracy: 0.3667 - F1: 0.3081
sub_1:Test (Best Model) - Loss: 1.5150 - Accuracy: 0.3810 - F1: 0.2888
sub_2:Test (Best Model) - Loss: 1.6072 - Accuracy: 0.2048 - F1: 0.0762
sub_9:Test (Best Model) - Loss: 1.7946 - Accuracy: 0.3714 - F1: 0.3050
sub_4:Test (Best Model) - Loss: 1.6069 - Accuracy: 0.2381 - F1: 0.1349
sub_6:Test (Best Model) - Loss: 1.7857 - Accuracy: 0.1857 - F1: 0.1289
sub_8:Test (Best Model) - Loss: 1.4269 - Accuracy: 0.3190 - F1: 0.2466
sub_2:Test (Best Model) - Loss: 1.5063 - Accuracy: 0.4190 - F1: 0.3078
sub_3:Test (Best Model) - Loss: 1.3822 - Accuracy: 0.3238 - F1: 0.2548
sub_5:Test (Best Model) - Loss: 1.6483 - Accuracy: 0.2286 - F1: 0.1989
sub_9:Test (Best Model) - Loss: 1.6257 - Accuracy: 0.2952 - F1: 0.2249
sub_4:Test (Best Model) - Loss: 1.6026 - Accuracy: 0.1905 - F1: 0.0814
sub_10:Test (Best Model) - Loss: 1.5318 - Accuracy: 0.2762 - F1: 0.1743
sub_8:Test (Best Model) - Loss: 1.5661 - Accuracy: 0.2762 - F1: 0.1832
sub_4:Test (Best Model) - Loss: 1.6024 - Accuracy: 0.2571 - F1: 0.1658
sub_2:Test (Best Model) - Loss: 2.7902 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.3718 - Accuracy: 0.3476 - F1: 0.2665
sub_3:Test (Best Model) - Loss: 1.4570 - Accuracy: 0.2952 - F1: 0.2325
sub_3:Test (Best Model) - Loss: 1.6056 - Accuracy: 0.1905 - F1: 0.0725
sub_10:Test (Best Model) - Loss: 2.0402 - Accuracy: 0.2095 - F1: 0.1157
sub_9:Test (Best Model) - Loss: 1.9365 - Accuracy: 0.2238 - F1: 0.1111
sub_10:Test (Best Model) - Loss: 1.5960 - Accuracy: 0.2810 - F1: 0.1863
sub_1:Test (Best Model) - Loss: 2.1895 - Accuracy: 0.2000 - F1: 0.0715
sub_2:Test (Best Model) - Loss: 1.9298 - Accuracy: 0.2429 - F1: 0.1317
sub_8:Test (Best Model) - Loss: 1.4026 - Accuracy: 0.3571 - F1: 0.3023
sub_1:Test (Best Model) - Loss: 1.7511 - Accuracy: 0.1952 - F1: 0.0680
sub_10:Test (Best Model) - Loss: 1.5135 - Accuracy: 0.2857 - F1: 0.2100
sub_9:Test (Best Model) - Loss: 1.5847 - Accuracy: 0.2000 - F1: 0.1141
sub_2:Test (Best Model) - Loss: 1.7854 - Accuracy: 0.2667 - F1: 0.1749
sub_8:Test (Best Model) - Loss: 1.3038 - Accuracy: 0.3952 - F1: 0.3195
sub_9:Test (Best Model) - Loss: 1.5872 - Accuracy: 0.2667 - F1: 0.1667
sub_1:Test (Best Model) - Loss: 2.0577 - Accuracy: 0.2048 - F1: 0.0822
sub_2:Test (Best Model) - Loss: 1.6417 - Accuracy: 0.2714 - F1: 0.1643
sub_1:Test (Best Model) - Loss: 1.5616 - Accuracy: 0.2524 - F1: 0.1637
sub_8:Test (Best Model) - Loss: 1.3219 - Accuracy: 0.4095 - F1: 0.4051
sub_9:Test (Best Model) - Loss: 1.3936 - Accuracy: 0.3143 - F1: 0.2355
sub_9:Test (Best Model) - Loss: 1.5828 - Accuracy: 0.2524 - F1: 0.1549
sub_2:Test (Best Model) - Loss: 1.6511 - Accuracy: 0.2381 - F1: 0.1447
sub_1:Test (Best Model) - Loss: 2.4669 - Accuracy: 0.2095 - F1: 0.0864
sub_8:Test (Best Model) - Loss: 1.3897 - Accuracy: 0.3524 - F1: 0.2756
sub_8:Test (Best Model) - Loss: 1.4541 - Accuracy: 0.3429 - F1: 0.3272
sub_8:Test (Best Model) - Loss: 1.4932 - Accuracy: 0.3000 - F1: 0.2313
sub_14:Test (Best Model) - Loss: 1.6033 - Accuracy: 0.2524 - F1: 0.1818
sub_12:Test (Best Model) - Loss: 1.7876 - Accuracy: 0.2571 - F1: 0.1688
sub_13:Test (Best Model) - Loss: 1.6542 - Accuracy: 0.2048 - F1: 0.0777
sub_11:Test (Best Model) - Loss: 1.5637 - Accuracy: 0.2857 - F1: 0.2104
sub_14:Test (Best Model) - Loss: 1.5973 - Accuracy: 0.2333 - F1: 0.1349
sub_14:Test (Best Model) - Loss: 1.5998 - Accuracy: 0.2667 - F1: 0.1658
sub_12:Test (Best Model) - Loss: 1.5166 - Accuracy: 0.3095 - F1: 0.2314
sub_11:Test (Best Model) - Loss: 1.5917 - Accuracy: 0.3238 - F1: 0.2892
sub_13:Test (Best Model) - Loss: 1.6920 - Accuracy: 0.2000 - F1: 0.0675
sub_14:Test (Best Model) - Loss: 1.6476 - Accuracy: 0.2762 - F1: 0.2226
sub_11:Test (Best Model) - Loss: 2.2797 - Accuracy: 0.2143 - F1: 0.1219
sub_12:Test (Best Model) - Loss: 1.3278 - Accuracy: 0.4095 - F1: 0.3716
sub_13:Test (Best Model) - Loss: 1.7384 - Accuracy: 0.2476 - F1: 0.1510
sub_14:Test (Best Model) - Loss: 1.5978 - Accuracy: 0.3238 - F1: 0.2889
sub_12:Test (Best Model) - Loss: 1.3908 - Accuracy: 0.3381 - F1: 0.2735
sub_11:Test (Best Model) - Loss: 1.4540 - Accuracy: 0.3952 - F1: 0.3526
sub_13:Test (Best Model) - Loss: 1.4836 - Accuracy: 0.3238 - F1: 0.2720
sub_14:Test (Best Model) - Loss: 1.4788 - Accuracy: 0.3762 - F1: 0.2561
sub_12:Test (Best Model) - Loss: 1.6661 - Accuracy: 0.2000 - F1: 0.0667
sub_13:Test (Best Model) - Loss: 1.6005 - Accuracy: 0.2000 - F1: 0.0689
sub_14:Test (Best Model) - Loss: 1.5872 - Accuracy: 0.2333 - F1: 0.1317
sub_12:Test (Best Model) - Loss: 1.1847 - Accuracy: 0.4095 - F1: 0.3283
sub_11:Test (Best Model) - Loss: 1.7519 - Accuracy: 0.2048 - F1: 0.0782
sub_13:Test (Best Model) - Loss: 2.9869 - Accuracy: 0.2143 - F1: 0.0989
sub_12:Test (Best Model) - Loss: 1.3673 - Accuracy: 0.3905 - F1: 0.2984
sub_11:Test (Best Model) - Loss: 1.3236 - Accuracy: 0.4095 - F1: 0.2579
sub_14:Test (Best Model) - Loss: 1.8057 - Accuracy: 0.2429 - F1: 0.1553
sub_11:Test (Best Model) - Loss: 1.5375 - Accuracy: 0.2810 - F1: 0.2028
sub_14:Test (Best Model) - Loss: 1.6091 - Accuracy: 0.1905 - F1: 0.0792
sub_12:Test (Best Model) - Loss: 1.3492 - Accuracy: 0.3857 - F1: 0.3030
sub_13:Test (Best Model) - Loss: 1.5125 - Accuracy: 0.3476 - F1: 0.2849
sub_14:Test (Best Model) - Loss: 1.5896 - Accuracy: 0.3667 - F1: 0.3157
sub_11:Test (Best Model) - Loss: 1.4423 - Accuracy: 0.3381 - F1: 0.2607
sub_13:Test (Best Model) - Loss: 1.6143 - Accuracy: 0.3143 - F1: 0.2853
sub_12:Test (Best Model) - Loss: 1.2300 - Accuracy: 0.3905 - F1: 0.3313
sub_11:Test (Best Model) - Loss: 1.3801 - Accuracy: 0.3952 - F1: 0.3418
sub_12:Test (Best Model) - Loss: 1.5675 - Accuracy: 0.2524 - F1: 0.1733
sub_14:Test (Best Model) - Loss: 2.4437 - Accuracy: 0.2143 - F1: 0.1043
sub_14:Test (Best Model) - Loss: 1.6196 - Accuracy: 0.1762 - F1: 0.0757
sub_12:Test (Best Model) - Loss: 1.5499 - Accuracy: 0.2619 - F1: 0.2125
sub_11:Test (Best Model) - Loss: 1.3895 - Accuracy: 0.4476 - F1: 0.4192
sub_14:Test (Best Model) - Loss: 1.6403 - Accuracy: 0.1857 - F1: 0.0650
sub_13:Test (Best Model) - Loss: 1.5060 - Accuracy: 0.3476 - F1: 0.3189
sub_12:Test (Best Model) - Loss: 1.4186 - Accuracy: 0.3333 - F1: 0.2269
sub_14:Test (Best Model) - Loss: 1.6153 - Accuracy: 0.1952 - F1: 0.0741
sub_11:Test (Best Model) - Loss: 1.8225 - Accuracy: 0.2238 - F1: 0.1048
sub_12:Test (Best Model) - Loss: 1.3098 - Accuracy: 0.3619 - F1: 0.3076
sub_14:Test (Best Model) - Loss: 1.6188 - Accuracy: 0.1905 - F1: 0.0640
sub_13:Test (Best Model) - Loss: 1.5624 - Accuracy: 0.2905 - F1: 0.1913
sub_11:Test (Best Model) - Loss: 1.8836 - Accuracy: 0.2000 - F1: 0.0667
sub_13:Test (Best Model) - Loss: 1.5771 - Accuracy: 0.3238 - F1: 0.2738
sub_12:Test (Best Model) - Loss: 1.5595 - Accuracy: 0.3571 - F1: 0.2839
sub_13:Test (Best Model) - Loss: 1.4535 - Accuracy: 0.4190 - F1: 0.3609
sub_11:Test (Best Model) - Loss: 1.6985 - Accuracy: 0.2571 - F1: 0.1788
sub_12:Test (Best Model) - Loss: 1.4618 - Accuracy: 0.3619 - F1: 0.2279
sub_13:Test (Best Model) - Loss: 1.6059 - Accuracy: 0.3429 - F1: 0.2823
sub_11:Test (Best Model) - Loss: 1.5200 - Accuracy: 0.2952 - F1: 0.2818
sub_13:Test (Best Model) - Loss: 1.5592 - Accuracy: 0.3524 - F1: 0.3421
sub_13:Test (Best Model) - Loss: 1.6132 - Accuracy: 0.2143 - F1: 0.1242
sub_11:Test (Best Model) - Loss: 2.0035 - Accuracy: 0.2381 - F1: 0.1332

=== Summary Results ===

acc: 27.46 ± 4.44
F1: 18.50 ± 5.49
acc-in: 34.64 ± 7.29
F1-in: 26.52 ± 8.72
runing time: 4880.43 seconds
