lr: 1e-05
sub_3:Test (Best Model) - Loss: 1.7514 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 1.6132 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.7829 - Accuracy: 0.2095 - F1: 0.0859
sub_3:Test (Best Model) - Loss: 1.7762 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 1.6126 - Accuracy: 0.2000 - F1: 0.0672
sub_3:Test (Best Model) - Loss: 1.7942 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.8635 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 1.6294 - Accuracy: 0.2238 - F1: 0.1161
sub_3:Test (Best Model) - Loss: 1.7949 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.9216 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 1.6907 - Accuracy: 0.2000 - F1: 0.0683
sub_3:Test (Best Model) - Loss: 1.8441 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.7016 - Accuracy: 0.2000 - F1: 0.0669
sub_2:Test (Best Model) - Loss: 1.5934 - Accuracy: 0.2524 - F1: 0.1356
sub_3:Test (Best Model) - Loss: 1.5704 - Accuracy: 0.2286 - F1: 0.1118
sub_2:Test (Best Model) - Loss: 1.6669 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.9229 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 1.5957 - Accuracy: 0.2238 - F1: 0.1067
sub_2:Test (Best Model) - Loss: 1.6451 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.7285 - Accuracy: 0.2048 - F1: 0.0764
sub_3:Test (Best Model) - Loss: 1.5921 - Accuracy: 0.2238 - F1: 0.1076
sub_2:Test (Best Model) - Loss: 1.6240 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.7137 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 1.5919 - Accuracy: 0.2381 - F1: 0.1255
sub_2:Test (Best Model) - Loss: 1.6272 - Accuracy: 0.2048 - F1: 0.0762
sub_1:Test (Best Model) - Loss: 1.7182 - Accuracy: 0.2524 - F1: 0.1459
sub_3:Test (Best Model) - Loss: 1.5700 - Accuracy: 0.2286 - F1: 0.1170
sub_2:Test (Best Model) - Loss: 1.6297 - Accuracy: 0.2000 - F1: 0.0672
sub_2:Test (Best Model) - Loss: 1.6467 - Accuracy: 0.2000 - F1: 0.0983
sub_3:Test (Best Model) - Loss: 1.5726 - Accuracy: 0.2524 - F1: 0.1997
sub_2:Test (Best Model) - Loss: 1.6817 - Accuracy: 0.2429 - F1: 0.1384
sub_1:Test (Best Model) - Loss: 1.6342 - Accuracy: 0.3286 - F1: 0.2518
sub_3:Test (Best Model) - Loss: 1.5650 - Accuracy: 0.2238 - F1: 0.1185
sub_3:Test (Best Model) - Loss: 1.5662 - Accuracy: 0.2190 - F1: 0.1146
sub_2:Test (Best Model) - Loss: 1.5650 - Accuracy: 0.2238 - F1: 0.1202
sub_1:Test (Best Model) - Loss: 1.7261 - Accuracy: 0.2952 - F1: 0.1799
sub_3:Test (Best Model) - Loss: 1.6089 - Accuracy: 0.2095 - F1: 0.1430
sub_2:Test (Best Model) - Loss: 1.7052 - Accuracy: 0.2619 - F1: 0.1830
sub_2:Test (Best Model) - Loss: 1.6118 - Accuracy: 0.2095 - F1: 0.0866
sub_3:Test (Best Model) - Loss: 1.5492 - Accuracy: 0.2333 - F1: 0.1292
sub_1:Test (Best Model) - Loss: 1.5357 - Accuracy: 0.3571 - F1: 0.2627
sub_1:Test (Best Model) - Loss: 1.5874 - Accuracy: 0.2286 - F1: 0.1173
sub_1:Test (Best Model) - Loss: 1.5933 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.6470 - Accuracy: 0.2571 - F1: 0.1601
sub_1:Test (Best Model) - Loss: 1.5241 - Accuracy: 0.3238 - F1: 0.1850
sub_4:Test (Best Model) - Loss: 1.6460 - Accuracy: 0.2429 - F1: 0.1478
sub_6:Test (Best Model) - Loss: 1.6656 - Accuracy: 0.2524 - F1: 0.1780
sub_5:Test (Best Model) - Loss: 2.1453 - Accuracy: 0.2000 - F1: 0.0667
sub_5:Test (Best Model) - Loss: 1.8799 - Accuracy: 0.2048 - F1: 0.0764
sub_4:Test (Best Model) - Loss: 1.6242 - Accuracy: 0.2571 - F1: 0.1524
sub_6:Test (Best Model) - Loss: 1.9529 - Accuracy: 0.3238 - F1: 0.2034
sub_5:Test (Best Model) - Loss: 1.9884 - Accuracy: 0.2000 - F1: 0.0667
sub_4:Test (Best Model) - Loss: 1.6499 - Accuracy: 0.3095 - F1: 0.2504
sub_6:Test (Best Model) - Loss: 1.7827 - Accuracy: 0.2429 - F1: 0.1407
sub_5:Test (Best Model) - Loss: 1.8862 - Accuracy: 0.2000 - F1: 0.0689
sub_6:Test (Best Model) - Loss: 1.7384 - Accuracy: 0.1619 - F1: 0.0807
sub_4:Test (Best Model) - Loss: 1.6726 - Accuracy: 0.3048 - F1: 0.2094
sub_5:Test (Best Model) - Loss: 1.9534 - Accuracy: 0.2000 - F1: 0.0815
sub_4:Test (Best Model) - Loss: 1.6303 - Accuracy: 0.2714 - F1: 0.2089
sub_5:Test (Best Model) - Loss: 2.2771 - Accuracy: 0.2048 - F1: 0.0762
sub_6:Test (Best Model) - Loss: 1.7443 - Accuracy: 0.3238 - F1: 0.2183
sub_5:Test (Best Model) - Loss: 2.3636 - Accuracy: 0.2000 - F1: 0.0667
sub_4:Test (Best Model) - Loss: 1.7023 - Accuracy: 0.2571 - F1: 0.1481
sub_6:Test (Best Model) - Loss: 1.6240 - Accuracy: 0.2048 - F1: 0.1026
sub_5:Test (Best Model) - Loss: 2.0849 - Accuracy: 0.2000 - F1: 0.0667
sub_4:Test (Best Model) - Loss: 1.6390 - Accuracy: 0.2333 - F1: 0.1240
sub_5:Test (Best Model) - Loss: 2.0788 - Accuracy: 0.2000 - F1: 0.0667
sub_5:Test (Best Model) - Loss: 2.2125 - Accuracy: 0.2000 - F1: 0.0667
sub_4:Test (Best Model) - Loss: 1.6300 - Accuracy: 0.2476 - F1: 0.1325
sub_5:Test (Best Model) - Loss: 1.6159 - Accuracy: 0.2000 - F1: 0.0748
sub_6:Test (Best Model) - Loss: 1.7288 - Accuracy: 0.2571 - F1: 0.1720
sub_5:Test (Best Model) - Loss: 1.6204 - Accuracy: 0.1810 - F1: 0.0835
sub_4:Test (Best Model) - Loss: 1.6490 - Accuracy: 0.2714 - F1: 0.1747
sub_6:Test (Best Model) - Loss: 1.6576 - Accuracy: 0.2571 - F1: 0.2267
sub_5:Test (Best Model) - Loss: 1.5989 - Accuracy: 0.2000 - F1: 0.0667
sub_4:Test (Best Model) - Loss: 1.6765 - Accuracy: 0.2524 - F1: 0.1582
sub_5:Test (Best Model) - Loss: 1.6093 - Accuracy: 0.1762 - F1: 0.0671
sub_5:Test (Best Model) - Loss: 1.6142 - Accuracy: 0.2000 - F1: 0.0667
sub_4:Test (Best Model) - Loss: 1.6187 - Accuracy: 0.2619 - F1: 0.1985
sub_6:Test (Best Model) - Loss: 1.8314 - Accuracy: 0.3095 - F1: 0.2653
sub_6:Test (Best Model) - Loss: 1.6936 - Accuracy: 0.2905 - F1: 0.2050
sub_6:Test (Best Model) - Loss: 2.6029 - Accuracy: 0.2000 - F1: 0.0932
sub_4:Test (Best Model) - Loss: 1.5626 - Accuracy: 0.2762 - F1: 0.2441
sub_6:Test (Best Model) - Loss: 5.1451 - Accuracy: 0.2048 - F1: 0.1619
sub_4:Test (Best Model) - Loss: 1.6034 - Accuracy: 0.2476 - F1: 0.2085
sub_6:Test (Best Model) - Loss: 1.9748 - Accuracy: 0.1714 - F1: 0.1441
sub_4:Test (Best Model) - Loss: 1.5938 - Accuracy: 0.2905 - F1: 0.2514
sub_6:Test (Best Model) - Loss: 4.5449 - Accuracy: 0.2762 - F1: 0.2243
sub_4:Test (Best Model) - Loss: 1.5990 - Accuracy: 0.3190 - F1: 0.2685
sub_6:Test (Best Model) - Loss: 3.6831 - Accuracy: 0.1952 - F1: 0.0659
sub_8:Test (Best Model) - Loss: 1.5950 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.6064 - Accuracy: 0.2190 - F1: 0.1610
sub_9:Test (Best Model) - Loss: 1.5949 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.6165 - Accuracy: 0.2333 - F1: 0.1352
sub_9:Test (Best Model) - Loss: 1.5389 - Accuracy: 0.2000 - F1: 0.0675
sub_8:Test (Best Model) - Loss: 1.5668 - Accuracy: 0.2619 - F1: 0.1436
sub_7:Test (Best Model) - Loss: 1.5871 - Accuracy: 0.2524 - F1: 0.1732
sub_8:Test (Best Model) - Loss: 1.5875 - Accuracy: 0.2190 - F1: 0.1005
sub_9:Test (Best Model) - Loss: 1.6120 - Accuracy: 0.2048 - F1: 0.0763
sub_8:Test (Best Model) - Loss: 1.5846 - Accuracy: 0.2238 - F1: 0.1089
sub_9:Test (Best Model) - Loss: 1.7133 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.5945 - Accuracy: 0.2667 - F1: 0.2527
sub_8:Test (Best Model) - Loss: 1.5846 - Accuracy: 0.2286 - F1: 0.1144
sub_7:Test (Best Model) - Loss: 1.5981 - Accuracy: 0.2333 - F1: 0.1875
sub_9:Test (Best Model) - Loss: 1.5859 - Accuracy: 0.1952 - F1: 0.0653
sub_8:Test (Best Model) - Loss: 1.5688 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.6076 - Accuracy: 0.2095 - F1: 0.1316
sub_8:Test (Best Model) - Loss: 1.5366 - Accuracy: 0.2048 - F1: 0.0764
sub_7:Test (Best Model) - Loss: 1.6229 - Accuracy: 0.1905 - F1: 0.1000
sub_9:Test (Best Model) - Loss: 1.7425 - Accuracy: 0.2095 - F1: 0.0867
sub_8:Test (Best Model) - Loss: 1.5323 - Accuracy: 0.2048 - F1: 0.0764
sub_9:Test (Best Model) - Loss: 1.6130 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.6120 - Accuracy: 0.2000 - F1: 0.1148
sub_8:Test (Best Model) - Loss: 1.5497 - Accuracy: 0.2238 - F1: 0.1091
sub_9:Test (Best Model) - Loss: 1.6669 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.6108 - Accuracy: 0.2095 - F1: 0.1342
sub_8:Test (Best Model) - Loss: 1.5374 - Accuracy: 0.2000 - F1: 0.0667
sub_9:Test (Best Model) - Loss: 1.6129 - Accuracy: 0.2000 - F1: 0.0669
sub_8:Test (Best Model) - Loss: 1.7279 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.6285 - Accuracy: 0.2048 - F1: 0.1438
sub_9:Test (Best Model) - Loss: 1.7505 - Accuracy: 0.1952 - F1: 0.0756
sub_8:Test (Best Model) - Loss: 1.7300 - Accuracy: 0.2000 - F1: 0.0667
sub_9:Test (Best Model) - Loss: 2.8614 - Accuracy: 0.1952 - F1: 0.0653
sub_8:Test (Best Model) - Loss: 1.8428 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.7105 - Accuracy: 0.2143 - F1: 0.1000
sub_9:Test (Best Model) - Loss: 2.7880 - Accuracy: 0.1857 - F1: 0.0627
sub_8:Test (Best Model) - Loss: 1.6950 - Accuracy: 0.2000 - F1: 0.0667
sub_9:Test (Best Model) - Loss: 2.7363 - Accuracy: 0.1667 - F1: 0.0574
sub_7:Test (Best Model) - Loss: 1.6673 - Accuracy: 0.2429 - F1: 0.1536
sub_8:Test (Best Model) - Loss: 1.7700 - Accuracy: 0.2000 - F1: 0.0667
sub_9:Test (Best Model) - Loss: 2.5504 - Accuracy: 0.1333 - F1: 0.0555
sub_7:Test (Best Model) - Loss: 1.6938 - Accuracy: 0.2000 - F1: 0.0667
sub_9:Test (Best Model) - Loss: 2.9943 - Accuracy: 0.1143 - F1: 0.0585
sub_7:Test (Best Model) - Loss: 1.6952 - Accuracy: 0.2476 - F1: 0.1616
sub_7:Test (Best Model) - Loss: 1.6809 - Accuracy: 0.2000 - F1: 0.0667
sub_11:Test (Best Model) - Loss: 1.6062 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 1.5887 - Accuracy: 0.2000 - F1: 0.0752
sub_10:Test (Best Model) - Loss: 1.7097 - Accuracy: 0.2143 - F1: 0.1160
sub_11:Test (Best Model) - Loss: 1.6168 - Accuracy: 0.2190 - F1: 0.1088
sub_12:Test (Best Model) - Loss: 1.6079 - Accuracy: 0.2048 - F1: 0.0904
sub_11:Test (Best Model) - Loss: 1.6291 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 2.1558 - Accuracy: 0.2429 - F1: 0.1456
sub_12:Test (Best Model) - Loss: 1.6067 - Accuracy: 0.2048 - F1: 0.0911
sub_11:Test (Best Model) - Loss: 1.6164 - Accuracy: 0.2238 - F1: 0.1128
sub_12:Test (Best Model) - Loss: 1.5950 - Accuracy: 0.2048 - F1: 0.1003
sub_10:Test (Best Model) - Loss: 1.7009 - Accuracy: 0.2333 - F1: 0.1339
sub_11:Test (Best Model) - Loss: 1.6185 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 1.5944 - Accuracy: 0.2429 - F1: 0.1337
sub_10:Test (Best Model) - Loss: 1.9855 - Accuracy: 0.2524 - F1: 0.1440
sub_11:Test (Best Model) - Loss: 1.6551 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 1.5895 - Accuracy: 0.2667 - F1: 0.1835
sub_11:Test (Best Model) - Loss: 1.6058 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.6407 - Accuracy: 0.2619 - F1: 0.1508
sub_12:Test (Best Model) - Loss: 1.5855 - Accuracy: 0.1952 - F1: 0.1000
sub_11:Test (Best Model) - Loss: 1.6109 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.5799 - Accuracy: 0.2524 - F1: 0.1494
sub_11:Test (Best Model) - Loss: 1.6813 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 1.5880 - Accuracy: 0.2000 - F1: 0.0957
sub_10:Test (Best Model) - Loss: 1.5875 - Accuracy: 0.2810 - F1: 0.1583
sub_11:Test (Best Model) - Loss: 1.6752 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 1.6074 - Accuracy: 0.1524 - F1: 0.0785
sub_12:Test (Best Model) - Loss: 1.5991 - Accuracy: 0.2000 - F1: 0.0940
sub_10:Test (Best Model) - Loss: 1.5631 - Accuracy: 0.2619 - F1: 0.1768
sub_11:Test (Best Model) - Loss: 1.6417 - Accuracy: 0.2286 - F1: 0.1265
sub_12:Test (Best Model) - Loss: 2.0892 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.5686 - Accuracy: 0.2619 - F1: 0.1561
sub_11:Test (Best Model) - Loss: 1.5972 - Accuracy: 0.2143 - F1: 0.1209
sub_12:Test (Best Model) - Loss: 2.4220 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.5851 - Accuracy: 0.2476 - F1: 0.1458
sub_11:Test (Best Model) - Loss: 1.5891 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 2.0567 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.6764 - Accuracy: 0.2714 - F1: 0.1672
sub_11:Test (Best Model) - Loss: 1.5994 - Accuracy: 0.2333 - F1: 0.1422
sub_12:Test (Best Model) - Loss: 2.0711 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.7633 - Accuracy: 0.2190 - F1: 0.1025
sub_11:Test (Best Model) - Loss: 1.5911 - Accuracy: 0.2095 - F1: 0.0852
sub_12:Test (Best Model) - Loss: 2.1469 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.7027 - Accuracy: 0.2762 - F1: 0.1743
sub_10:Test (Best Model) - Loss: 1.8059 - Accuracy: 0.2143 - F1: 0.0967
sub_10:Test (Best Model) - Loss: 1.6725 - Accuracy: 0.2095 - F1: 0.1507
sub_14:Test (Best Model) - Loss: 1.6424 - Accuracy: 0.2143 - F1: 0.1145
sub_13:Test (Best Model) - Loss: 1.5556 - Accuracy: 0.3143 - F1: 0.1831
sub_14:Test (Best Model) - Loss: 1.6291 - Accuracy: 0.1762 - F1: 0.0945
sub_14:Test (Best Model) - Loss: 1.6893 - Accuracy: 0.2095 - F1: 0.1011
sub_13:Test (Best Model) - Loss: 1.5429 - Accuracy: 0.3476 - F1: 0.2057
sub_14:Test (Best Model) - Loss: 1.6359 - Accuracy: 0.2143 - F1: 0.1032
sub_13:Test (Best Model) - Loss: 1.5647 - Accuracy: 0.3714 - F1: 0.2123
sub_14:Test (Best Model) - Loss: 1.6755 - Accuracy: 0.2381 - F1: 0.1670
sub_13:Test (Best Model) - Loss: 1.5600 - Accuracy: 0.3714 - F1: 0.2127
sub_14:Test (Best Model) - Loss: 1.6066 - Accuracy: 0.2333 - F1: 0.1572
sub_14:Test (Best Model) - Loss: 1.6030 - Accuracy: 0.2286 - F1: 0.1560
sub_13:Test (Best Model) - Loss: 1.5467 - Accuracy: 0.3524 - F1: 0.2082
sub_14:Test (Best Model) - Loss: 1.6015 - Accuracy: 0.3190 - F1: 0.2878
sub_14:Test (Best Model) - Loss: 1.6186 - Accuracy: 0.3143 - F1: 0.2353
sub_13:Test (Best Model) - Loss: 1.5757 - Accuracy: 0.3095 - F1: 0.1820
sub_14:Test (Best Model) - Loss: 1.5996 - Accuracy: 0.2952 - F1: 0.1832
sub_13:Test (Best Model) - Loss: 1.5881 - Accuracy: 0.3143 - F1: 0.1854
sub_13:Test (Best Model) - Loss: 1.5641 - Accuracy: 0.3190 - F1: 0.1916
sub_14:Test (Best Model) - Loss: 1.7274 - Accuracy: 0.2286 - F1: 0.1534
sub_13:Test (Best Model) - Loss: 1.6207 - Accuracy: 0.3238 - F1: 0.1891
sub_13:Test (Best Model) - Loss: 1.5940 - Accuracy: 0.3190 - F1: 0.1935
sub_14:Test (Best Model) - Loss: 1.6545 - Accuracy: 0.2381 - F1: 0.1822
sub_14:Test (Best Model) - Loss: 1.6094 - Accuracy: 0.1857 - F1: 0.0923
sub_13:Test (Best Model) - Loss: 1.5537 - Accuracy: 0.3619 - F1: 0.2067
sub_13:Test (Best Model) - Loss: 1.5276 - Accuracy: 0.3667 - F1: 0.2207
sub_14:Test (Best Model) - Loss: 1.6236 - Accuracy: 0.2286 - F1: 0.1601
sub_13:Test (Best Model) - Loss: 1.5347 - Accuracy: 0.3571 - F1: 0.2083
sub_14:Test (Best Model) - Loss: 1.6176 - Accuracy: 0.2286 - F1: 0.1530
sub_13:Test (Best Model) - Loss: 1.5404 - Accuracy: 0.3286 - F1: 0.1992
sub_13:Test (Best Model) - Loss: 1.5607 - Accuracy: 0.3095 - F1: 0.2006

=== Summary Results ===

acc: 23.17 ± 3.65
F1: 12.31 ± 4.23
acc-in: 28.92 ± 2.47
F1-in: 19.60 ± 2.10
runing time: 2074.57 seconds
