lr: 1e-05
sub_3:Test (Best Model) - Loss: 1.6004 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.5728 - Accuracy: 0.2286 - F1: 0.1142
sub_2:Test (Best Model) - Loss: 1.5809 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 1.6219 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.5655 - Accuracy: 0.2571 - F1: 0.1656
sub_2:Test (Best Model) - Loss: 1.5876 - Accuracy: 0.2048 - F1: 0.0764
sub_3:Test (Best Model) - Loss: 1.6074 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.5705 - Accuracy: 0.2143 - F1: 0.0983
sub_2:Test (Best Model) - Loss: 1.5841 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 1.6097 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.5601 - Accuracy: 0.2714 - F1: 0.1791
sub_2:Test (Best Model) - Loss: 1.5913 - Accuracy: 0.2000 - F1: 0.0672
sub_3:Test (Best Model) - Loss: 1.6123 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.5536 - Accuracy: 0.2429 - F1: 0.1297
sub_2:Test (Best Model) - Loss: 1.5779 - Accuracy: 0.2143 - F1: 0.0941
sub_1:Test (Best Model) - Loss: 1.5817 - Accuracy: 0.2143 - F1: 0.0956
sub_3:Test (Best Model) - Loss: 1.5815 - Accuracy: 0.2286 - F1: 0.1114
sub_2:Test (Best Model) - Loss: 1.6033 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.5673 - Accuracy: 0.2667 - F1: 0.1437
sub_3:Test (Best Model) - Loss: 1.5916 - Accuracy: 0.2190 - F1: 0.1009
sub_2:Test (Best Model) - Loss: 1.5926 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.5488 - Accuracy: 0.3048 - F1: 0.2170
sub_3:Test (Best Model) - Loss: 1.5873 - Accuracy: 0.2048 - F1: 0.0773
sub_2:Test (Best Model) - Loss: 1.5838 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 1.5851 - Accuracy: 0.2048 - F1: 0.0776
sub_1:Test (Best Model) - Loss: 1.4507 - Accuracy: 0.3667 - F1: 0.3255
sub_3:Test (Best Model) - Loss: 1.5858 - Accuracy: 0.2524 - F1: 0.1510
sub_2:Test (Best Model) - Loss: 1.5701 - Accuracy: 0.2476 - F1: 0.1407
sub_1:Test (Best Model) - Loss: 1.5381 - Accuracy: 0.3143 - F1: 0.2187
sub_3:Test (Best Model) - Loss: 1.5729 - Accuracy: 0.2381 - F1: 0.1325
sub_1:Test (Best Model) - Loss: 1.4917 - Accuracy: 0.3381 - F1: 0.2635
sub_3:Test (Best Model) - Loss: 1.5802 - Accuracy: 0.2333 - F1: 0.1431
sub_2:Test (Best Model) - Loss: 1.6870 - Accuracy: 0.3000 - F1: 0.2780
sub_3:Test (Best Model) - Loss: 1.5900 - Accuracy: 0.2143 - F1: 0.1238
sub_1:Test (Best Model) - Loss: 1.5347 - Accuracy: 0.2810 - F1: 0.1957
sub_2:Test (Best Model) - Loss: 1.6098 - Accuracy: 0.2429 - F1: 0.1456
sub_1:Test (Best Model) - Loss: 1.5670 - Accuracy: 0.2095 - F1: 0.0854
sub_3:Test (Best Model) - Loss: 1.5732 - Accuracy: 0.2238 - F1: 0.1247
sub_2:Test (Best Model) - Loss: 1.5912 - Accuracy: 0.2238 - F1: 0.1034
sub_3:Test (Best Model) - Loss: 1.5974 - Accuracy: 0.2381 - F1: 0.1778
sub_1:Test (Best Model) - Loss: 1.5453 - Accuracy: 0.2619 - F1: 0.1665
sub_2:Test (Best Model) - Loss: 1.5959 - Accuracy: 0.2381 - F1: 0.1416
sub_3:Test (Best Model) - Loss: 1.5920 - Accuracy: 0.2381 - F1: 0.1369
sub_1:Test (Best Model) - Loss: 1.5194 - Accuracy: 0.2810 - F1: 0.1882
sub_2:Test (Best Model) - Loss: 1.5985 - Accuracy: 0.2333 - F1: 0.1303
sub_6:Test (Best Model) - Loss: 1.6063 - Accuracy: 0.2667 - F1: 0.1486
sub_4:Test (Best Model) - Loss: 1.5858 - Accuracy: 0.2714 - F1: 0.1540
sub_5:Test (Best Model) - Loss: 1.6177 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 1.6047 - Accuracy: 0.2238 - F1: 0.1095
sub_4:Test (Best Model) - Loss: 1.5882 - Accuracy: 0.2619 - F1: 0.1776
sub_5:Test (Best Model) - Loss: 1.5915 - Accuracy: 0.2000 - F1: 0.0677
sub_6:Test (Best Model) - Loss: 1.6118 - Accuracy: 0.3143 - F1: 0.1918
sub_5:Test (Best Model) - Loss: 1.5922 - Accuracy: 0.2000 - F1: 0.0672
sub_4:Test (Best Model) - Loss: 1.6002 - Accuracy: 0.2952 - F1: 0.1750
sub_4:Test (Best Model) - Loss: 1.6003 - Accuracy: 0.2857 - F1: 0.1811
sub_6:Test (Best Model) - Loss: 1.6386 - Accuracy: 0.2476 - F1: 0.1530
sub_5:Test (Best Model) - Loss: 1.6170 - Accuracy: 0.2048 - F1: 0.0774
sub_4:Test (Best Model) - Loss: 1.5944 - Accuracy: 0.3095 - F1: 0.2342
sub_5:Test (Best Model) - Loss: 1.6047 - Accuracy: 0.2000 - F1: 0.0756
sub_6:Test (Best Model) - Loss: 1.5373 - Accuracy: 0.3476 - F1: 0.2080
sub_4:Test (Best Model) - Loss: 1.5842 - Accuracy: 0.2667 - F1: 0.1518
sub_5:Test (Best Model) - Loss: 1.5859 - Accuracy: 0.2000 - F1: 0.0667
sub_4:Test (Best Model) - Loss: 1.5826 - Accuracy: 0.2095 - F1: 0.0850
sub_6:Test (Best Model) - Loss: 1.6107 - Accuracy: 0.3048 - F1: 0.1773
sub_6:Test (Best Model) - Loss: 1.6083 - Accuracy: 0.2286 - F1: 0.1094
sub_5:Test (Best Model) - Loss: 1.5730 - Accuracy: 0.2333 - F1: 0.1212
sub_4:Test (Best Model) - Loss: 1.5743 - Accuracy: 0.2238 - F1: 0.1080
sub_5:Test (Best Model) - Loss: 1.5788 - Accuracy: 0.2429 - F1: 0.1349
sub_5:Test (Best Model) - Loss: 1.5779 - Accuracy: 0.2238 - F1: 0.1094
sub_6:Test (Best Model) - Loss: 1.5887 - Accuracy: 0.2667 - F1: 0.2012
sub_4:Test (Best Model) - Loss: 1.5426 - Accuracy: 0.3190 - F1: 0.2300
sub_5:Test (Best Model) - Loss: 1.5628 - Accuracy: 0.2381 - F1: 0.1246
sub_4:Test (Best Model) - Loss: 1.5692 - Accuracy: 0.2333 - F1: 0.1282
sub_6:Test (Best Model) - Loss: 1.5967 - Accuracy: 0.3238 - F1: 0.2028
sub_5:Test (Best Model) - Loss: 1.6143 - Accuracy: 0.2048 - F1: 0.1560
sub_6:Test (Best Model) - Loss: 1.6251 - Accuracy: 0.2619 - F1: 0.1561
sub_5:Test (Best Model) - Loss: 1.5926 - Accuracy: 0.1810 - F1: 0.1094
sub_4:Test (Best Model) - Loss: 1.5589 - Accuracy: 0.3048 - F1: 0.1828
sub_5:Test (Best Model) - Loss: 1.5930 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 1.6178 - Accuracy: 0.2190 - F1: 0.1236
sub_4:Test (Best Model) - Loss: 1.4961 - Accuracy: 0.3095 - F1: 0.2032
sub_5:Test (Best Model) - Loss: 1.6023 - Accuracy: 0.2000 - F1: 0.1389
sub_4:Test (Best Model) - Loss: 1.5775 - Accuracy: 0.2952 - F1: 0.1793
sub_6:Test (Best Model) - Loss: 1.7383 - Accuracy: 0.2333 - F1: 0.1854
sub_5:Test (Best Model) - Loss: 1.5987 - Accuracy: 0.1714 - F1: 0.0781
sub_6:Test (Best Model) - Loss: 1.6099 - Accuracy: 0.1857 - F1: 0.1058
sub_4:Test (Best Model) - Loss: 1.5747 - Accuracy: 0.3190 - F1: 0.2591
sub_4:Test (Best Model) - Loss: 1.5804 - Accuracy: 0.3143 - F1: 0.2001
sub_6:Test (Best Model) - Loss: 1.6648 - Accuracy: 0.2667 - F1: 0.1778
sub_6:Test (Best Model) - Loss: 1.6165 - Accuracy: 0.2143 - F1: 0.1208
sub_7:Test (Best Model) - Loss: 1.6017 - Accuracy: 0.2524 - F1: 0.1836
sub_9:Test (Best Model) - Loss: 1.5371 - Accuracy: 0.2000 - F1: 0.0667
sub_8:Test (Best Model) - Loss: 1.5453 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.6048 - Accuracy: 0.1952 - F1: 0.0661
sub_8:Test (Best Model) - Loss: 1.4827 - Accuracy: 0.3095 - F1: 0.1747
sub_9:Test (Best Model) - Loss: 1.5338 - Accuracy: 0.2000 - F1: 0.0667
sub_8:Test (Best Model) - Loss: 1.5189 - Accuracy: 0.2905 - F1: 0.1668
sub_7:Test (Best Model) - Loss: 1.5832 - Accuracy: 0.2714 - F1: 0.1899
sub_9:Test (Best Model) - Loss: 1.5194 - Accuracy: 0.2000 - F1: 0.0667
sub_9:Test (Best Model) - Loss: 1.5252 - Accuracy: 0.2000 - F1: 0.0667
sub_8:Test (Best Model) - Loss: 1.5086 - Accuracy: 0.3190 - F1: 0.1818
sub_7:Test (Best Model) - Loss: 1.5770 - Accuracy: 0.2857 - F1: 0.2503
sub_9:Test (Best Model) - Loss: 1.5115 - Accuracy: 0.2000 - F1: 0.0667
sub_8:Test (Best Model) - Loss: 1.5066 - Accuracy: 0.3095 - F1: 0.1819
sub_7:Test (Best Model) - Loss: 1.6007 - Accuracy: 0.2476 - F1: 0.2047
sub_8:Test (Best Model) - Loss: 1.5339 - Accuracy: 0.2000 - F1: 0.0667
sub_9:Test (Best Model) - Loss: 1.5595 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.6073 - Accuracy: 0.2286 - F1: 0.1394
sub_8:Test (Best Model) - Loss: 1.5032 - Accuracy: 0.2190 - F1: 0.1012
sub_9:Test (Best Model) - Loss: 1.5545 - Accuracy: 0.2000 - F1: 0.0667
sub_8:Test (Best Model) - Loss: 1.4785 - Accuracy: 0.2476 - F1: 0.1417
sub_9:Test (Best Model) - Loss: 1.5544 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.6015 - Accuracy: 0.2143 - F1: 0.1190
sub_8:Test (Best Model) - Loss: 1.5029 - Accuracy: 0.2524 - F1: 0.1464
sub_9:Test (Best Model) - Loss: 1.5311 - Accuracy: 0.1952 - F1: 0.0656
sub_8:Test (Best Model) - Loss: 1.4709 - Accuracy: 0.2238 - F1: 0.1094
sub_7:Test (Best Model) - Loss: 1.6052 - Accuracy: 0.2048 - F1: 0.1178
sub_9:Test (Best Model) - Loss: 1.5412 - Accuracy: 0.2000 - F1: 0.0672
sub_7:Test (Best Model) - Loss: 1.6012 - Accuracy: 0.2048 - F1: 0.1251
sub_9:Test (Best Model) - Loss: 1.6588 - Accuracy: 0.2000 - F1: 0.0667
sub_8:Test (Best Model) - Loss: 1.4436 - Accuracy: 0.3857 - F1: 0.3024
sub_7:Test (Best Model) - Loss: 1.6036 - Accuracy: 0.2000 - F1: 0.0767
sub_9:Test (Best Model) - Loss: 1.6683 - Accuracy: 0.2000 - F1: 0.0677
sub_8:Test (Best Model) - Loss: 1.5517 - Accuracy: 0.2095 - F1: 0.0862
sub_9:Test (Best Model) - Loss: 1.6485 - Accuracy: 0.1952 - F1: 0.0656
sub_8:Test (Best Model) - Loss: 1.5826 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.6081 - Accuracy: 0.2143 - F1: 0.1269
sub_9:Test (Best Model) - Loss: 1.6329 - Accuracy: 0.1524 - F1: 0.0684
sub_8:Test (Best Model) - Loss: 1.5552 - Accuracy: 0.3000 - F1: 0.1745
sub_9:Test (Best Model) - Loss: 1.6889 - Accuracy: 0.1381 - F1: 0.0883
sub_7:Test (Best Model) - Loss: 1.5841 - Accuracy: 0.2286 - F1: 0.1241
sub_8:Test (Best Model) - Loss: 1.5480 - Accuracy: 0.2000 - F1: 0.0669
sub_7:Test (Best Model) - Loss: 1.6092 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.5970 - Accuracy: 0.2000 - F1: 0.0669
sub_7:Test (Best Model) - Loss: 1.6072 - Accuracy: 0.2000 - F1: 0.0667
sub_11:Test (Best Model) - Loss: 1.5859 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 1.5780 - Accuracy: 0.2143 - F1: 0.0982
sub_10:Test (Best Model) - Loss: 1.5474 - Accuracy: 0.2095 - F1: 0.0849
sub_12:Test (Best Model) - Loss: 1.5688 - Accuracy: 0.2143 - F1: 0.1098
sub_11:Test (Best Model) - Loss: 1.5781 - Accuracy: 0.2286 - F1: 0.1151
sub_10:Test (Best Model) - Loss: 1.5702 - Accuracy: 0.2333 - F1: 0.1231
sub_12:Test (Best Model) - Loss: 1.5877 - Accuracy: 0.2238 - F1: 0.1128
sub_11:Test (Best Model) - Loss: 1.5821 - Accuracy: 0.2190 - F1: 0.1021
sub_10:Test (Best Model) - Loss: 1.6171 - Accuracy: 0.2429 - F1: 0.1407
sub_12:Test (Best Model) - Loss: 1.5852 - Accuracy: 0.2190 - F1: 0.1214
sub_11:Test (Best Model) - Loss: 1.5720 - Accuracy: 0.2429 - F1: 0.1290
sub_12:Test (Best Model) - Loss: 1.5642 - Accuracy: 0.2619 - F1: 0.1564
sub_10:Test (Best Model) - Loss: 1.5550 - Accuracy: 0.2238 - F1: 0.1081
sub_11:Test (Best Model) - Loss: 1.5701 - Accuracy: 0.2238 - F1: 0.1079
sub_10:Test (Best Model) - Loss: 1.5315 - Accuracy: 0.2333 - F1: 0.1170
sub_12:Test (Best Model) - Loss: 1.5623 - Accuracy: 0.2000 - F1: 0.0680
sub_11:Test (Best Model) - Loss: 1.5985 - Accuracy: 0.2000 - F1: 0.0667
sub_11:Test (Best Model) - Loss: 1.5601 - Accuracy: 0.2000 - F1: 0.0669
sub_12:Test (Best Model) - Loss: 1.5495 - Accuracy: 0.2238 - F1: 0.1099
sub_11:Test (Best Model) - Loss: 1.5620 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.5175 - Accuracy: 0.2381 - F1: 0.1352
sub_12:Test (Best Model) - Loss: 1.5520 - Accuracy: 0.2190 - F1: 0.1122
sub_11:Test (Best Model) - Loss: 1.5919 - Accuracy: 0.2048 - F1: 0.0765
sub_10:Test (Best Model) - Loss: 1.5484 - Accuracy: 0.2429 - F1: 0.1332
sub_12:Test (Best Model) - Loss: 1.5636 - Accuracy: 0.2048 - F1: 0.0860
sub_11:Test (Best Model) - Loss: 1.5884 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 1.5694 - Accuracy: 0.2000 - F1: 0.0766
sub_10:Test (Best Model) - Loss: 1.5039 - Accuracy: 0.2667 - F1: 0.1622
sub_10:Test (Best Model) - Loss: 1.5147 - Accuracy: 0.2619 - F1: 0.1459
sub_12:Test (Best Model) - Loss: 1.6204 - Accuracy: 0.3429 - F1: 0.2395
sub_11:Test (Best Model) - Loss: 1.6705 - Accuracy: 0.2000 - F1: 0.1225
sub_10:Test (Best Model) - Loss: 1.5388 - Accuracy: 0.2619 - F1: 0.1448
sub_11:Test (Best Model) - Loss: 1.5953 - Accuracy: 0.1762 - F1: 0.1003
sub_12:Test (Best Model) - Loss: 1.5457 - Accuracy: 0.3524 - F1: 0.2093
sub_11:Test (Best Model) - Loss: 1.5869 - Accuracy: 0.2095 - F1: 0.0851
sub_12:Test (Best Model) - Loss: 1.5950 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.6209 - Accuracy: 0.2714 - F1: 0.1802
sub_12:Test (Best Model) - Loss: 1.5880 - Accuracy: 0.3333 - F1: 0.1921
sub_10:Test (Best Model) - Loss: 1.5779 - Accuracy: 0.2714 - F1: 0.1914
sub_11:Test (Best Model) - Loss: 1.6057 - Accuracy: 0.2000 - F1: 0.1416
sub_12:Test (Best Model) - Loss: 1.5736 - Accuracy: 0.2000 - F1: 0.0675
sub_10:Test (Best Model) - Loss: 1.5762 - Accuracy: 0.3381 - F1: 0.2282
sub_11:Test (Best Model) - Loss: 1.5870 - Accuracy: 0.2238 - F1: 0.1049
sub_10:Test (Best Model) - Loss: 1.6382 - Accuracy: 0.2381 - F1: 0.1329
sub_10:Test (Best Model) - Loss: 1.5705 - Accuracy: 0.2476 - F1: 0.2351
sub_13:Test (Best Model) - Loss: 1.5538 - Accuracy: 0.3857 - F1: 0.2204
sub_14:Test (Best Model) - Loss: 1.6062 - Accuracy: 0.2143 - F1: 0.1182
sub_13:Test (Best Model) - Loss: 1.4476 - Accuracy: 0.3714 - F1: 0.2304
sub_14:Test (Best Model) - Loss: 1.6151 - Accuracy: 0.2095 - F1: 0.1682
sub_13:Test (Best Model) - Loss: 1.5419 - Accuracy: 0.3714 - F1: 0.2130
sub_14:Test (Best Model) - Loss: 1.6018 - Accuracy: 0.2095 - F1: 0.1113
sub_13:Test (Best Model) - Loss: 1.5089 - Accuracy: 0.3952 - F1: 0.2262
sub_14:Test (Best Model) - Loss: 1.5972 - Accuracy: 0.2238 - F1: 0.1222
sub_13:Test (Best Model) - Loss: 1.4735 - Accuracy: 0.3905 - F1: 0.2279
sub_14:Test (Best Model) - Loss: 1.5864 - Accuracy: 0.3333 - F1: 0.2615
sub_13:Test (Best Model) - Loss: 1.5521 - Accuracy: 0.3238 - F1: 0.1932
sub_13:Test (Best Model) - Loss: 1.5433 - Accuracy: 0.3190 - F1: 0.1885
sub_14:Test (Best Model) - Loss: 1.5880 - Accuracy: 0.3238 - F1: 0.2348
sub_13:Test (Best Model) - Loss: 1.4918 - Accuracy: 0.3476 - F1: 0.2218
sub_14:Test (Best Model) - Loss: 1.5888 - Accuracy: 0.2524 - F1: 0.1631
sub_13:Test (Best Model) - Loss: 1.4405 - Accuracy: 0.3429 - F1: 0.2628
sub_13:Test (Best Model) - Loss: 1.5390 - Accuracy: 0.3238 - F1: 0.2018
sub_14:Test (Best Model) - Loss: 1.3677 - Accuracy: 0.3857 - F1: 0.3400
sub_13:Test (Best Model) - Loss: 1.4489 - Accuracy: 0.3524 - F1: 0.2277
sub_13:Test (Best Model) - Loss: 1.4234 - Accuracy: 0.3429 - F1: 0.2218
sub_14:Test (Best Model) - Loss: 1.5373 - Accuracy: 0.3429 - F1: 0.2311
sub_14:Test (Best Model) - Loss: 1.5683 - Accuracy: 0.3333 - F1: 0.1997
sub_13:Test (Best Model) - Loss: 1.4779 - Accuracy: 0.3143 - F1: 0.1863
sub_13:Test (Best Model) - Loss: 1.4409 - Accuracy: 0.3429 - F1: 0.2031
sub_13:Test (Best Model) - Loss: 1.5014 - Accuracy: 0.3095 - F1: 0.2104
sub_14:Test (Best Model) - Loss: 1.9562 - Accuracy: 0.2619 - F1: 0.1827
sub_14:Test (Best Model) - Loss: 1.6376 - Accuracy: 0.2095 - F1: 0.0901
sub_14:Test (Best Model) - Loss: 1.6015 - Accuracy: 0.2000 - F1: 0.0777
sub_14:Test (Best Model) - Loss: 1.6038 - Accuracy: 0.2333 - F1: 0.1277
sub_14:Test (Best Model) - Loss: 1.6013 - Accuracy: 0.2143 - F1: 0.1011

=== Summary Results ===

acc: 24.61 ± 3.86
F1: 13.58 ± 3.86
acc-in: 31.75 ± 3.03
F1-in: 22.00 ± 3.17
runing time: 1942.22 seconds
