lr: 1e-06
sub_2:Test (Best Model) - Loss: 1.6254 - Accuracy: 0.1571 - F1: 0.1568
sub_6:Test (Best Model) - Loss: 1.5996 - Accuracy: 0.2190 - F1: 0.1497
sub_12:Test (Best Model) - Loss: 1.6066 - Accuracy: 0.2286 - F1: 0.1996
sub_4:Test (Best Model) - Loss: 1.5980 - Accuracy: 0.2286 - F1: 0.1834
sub_14:Test (Best Model) - Loss: 1.6158 - Accuracy: 0.2143 - F1: 0.2057
sub_11:Test (Best Model) - Loss: 1.6004 - Accuracy: 0.2238 - F1: 0.2097
sub_3:Test (Best Model) - Loss: 1.6068 - Accuracy: 0.2190 - F1: 0.1965
sub_13:Test (Best Model) - Loss: 1.6308 - Accuracy: 0.1667 - F1: 0.0737
sub_9:Test (Best Model) - Loss: 1.5831 - Accuracy: 0.2286 - F1: 0.2038
sub_2:Test (Best Model) - Loss: 1.5799 - Accuracy: 0.2667 - F1: 0.2695
sub_10:Test (Best Model) - Loss: 1.6103 - Accuracy: 0.2429 - F1: 0.2134
sub_12:Test (Best Model) - Loss: 1.6263 - Accuracy: 0.1238 - F1: 0.1190
sub_4:Test (Best Model) - Loss: 1.6072 - Accuracy: 0.1952 - F1: 0.1887
sub_1:Test (Best Model) - Loss: 1.6109 - Accuracy: 0.1905 - F1: 0.1433
sub_7:Test (Best Model) - Loss: 1.6062 - Accuracy: 0.1952 - F1: 0.1831
sub_8:Test (Best Model) - Loss: 1.5704 - Accuracy: 0.3333 - F1: 0.3305
sub_11:Test (Best Model) - Loss: 1.6093 - Accuracy: 0.2143 - F1: 0.1712
sub_2:Test (Best Model) - Loss: 1.6094 - Accuracy: 0.1810 - F1: 0.1759
sub_13:Test (Best Model) - Loss: 1.6127 - Accuracy: 0.1952 - F1: 0.1696
sub_6:Test (Best Model) - Loss: 1.6161 - Accuracy: 0.1190 - F1: 0.1146
sub_9:Test (Best Model) - Loss: 1.6075 - Accuracy: 0.2286 - F1: 0.1390
sub_4:Test (Best Model) - Loss: 1.6217 - Accuracy: 0.2000 - F1: 0.1798
sub_5:Test (Best Model) - Loss: 1.6196 - Accuracy: 0.2429 - F1: 0.1867
sub_10:Test (Best Model) - Loss: 1.6075 - Accuracy: 0.2238 - F1: 0.1966
sub_1:Test (Best Model) - Loss: 1.6202 - Accuracy: 0.1952 - F1: 0.1658
sub_3:Test (Best Model) - Loss: 1.6136 - Accuracy: 0.2095 - F1: 0.1439
sub_14:Test (Best Model) - Loss: 1.6035 - Accuracy: 0.2524 - F1: 0.2281
sub_2:Test (Best Model) - Loss: 1.6196 - Accuracy: 0.1429 - F1: 0.1046
sub_7:Test (Best Model) - Loss: 1.6207 - Accuracy: 0.1952 - F1: 0.1634
sub_6:Test (Best Model) - Loss: 1.6152 - Accuracy: 0.2143 - F1: 0.1727
sub_9:Test (Best Model) - Loss: 1.6245 - Accuracy: 0.2190 - F1: 0.1451
sub_11:Test (Best Model) - Loss: 1.6121 - Accuracy: 0.1762 - F1: 0.1624
sub_4:Test (Best Model) - Loss: 1.6184 - Accuracy: 0.2190 - F1: 0.2171
sub_12:Test (Best Model) - Loss: 1.6077 - Accuracy: 0.1762 - F1: 0.1666
sub_10:Test (Best Model) - Loss: 1.6102 - Accuracy: 0.2190 - F1: 0.1550
sub_1:Test (Best Model) - Loss: 1.5993 - Accuracy: 0.2857 - F1: 0.2517
sub_14:Test (Best Model) - Loss: 1.6033 - Accuracy: 0.2381 - F1: 0.2300
sub_5:Test (Best Model) - Loss: 1.6071 - Accuracy: 0.2333 - F1: 0.2101
sub_13:Test (Best Model) - Loss: 1.5944 - Accuracy: 0.2286 - F1: 0.1758
sub_7:Test (Best Model) - Loss: 1.6147 - Accuracy: 0.1571 - F1: 0.1310
sub_8:Test (Best Model) - Loss: 1.5839 - Accuracy: 0.2810 - F1: 0.2840
sub_4:Test (Best Model) - Loss: 1.6284 - Accuracy: 0.1762 - F1: 0.1724
sub_11:Test (Best Model) - Loss: 1.6010 - Accuracy: 0.2667 - F1: 0.2226
sub_2:Test (Best Model) - Loss: 1.6063 - Accuracy: 0.2000 - F1: 0.2014
sub_10:Test (Best Model) - Loss: 1.6059 - Accuracy: 0.2381 - F1: 0.1907
sub_3:Test (Best Model) - Loss: 1.6128 - Accuracy: 0.1857 - F1: 0.1629
sub_14:Test (Best Model) - Loss: 1.5887 - Accuracy: 0.2048 - F1: 0.1922
sub_12:Test (Best Model) - Loss: 1.5977 - Accuracy: 0.2619 - F1: 0.2326
sub_1:Test (Best Model) - Loss: 1.6064 - Accuracy: 0.2381 - F1: 0.1923
sub_6:Test (Best Model) - Loss: 1.6173 - Accuracy: 0.2000 - F1: 0.1831
sub_5:Test (Best Model) - Loss: 1.6094 - Accuracy: 0.2048 - F1: 0.1891
sub_8:Test (Best Model) - Loss: 1.5982 - Accuracy: 0.2524 - F1: 0.2381
sub_7:Test (Best Model) - Loss: 1.6070 - Accuracy: 0.2429 - F1: 0.2125
sub_4:Test (Best Model) - Loss: 1.5992 - Accuracy: 0.2286 - F1: 0.2109
sub_2:Test (Best Model) - Loss: 1.6337 - Accuracy: 0.1524 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 1.6287 - Accuracy: 0.2143 - F1: 0.1502
sub_3:Test (Best Model) - Loss: 1.6142 - Accuracy: 0.1476 - F1: 0.1209
sub_13:Test (Best Model) - Loss: 1.6125 - Accuracy: 0.2524 - F1: 0.2243
sub_12:Test (Best Model) - Loss: 1.6064 - Accuracy: 0.1429 - F1: 0.1265
sub_1:Test (Best Model) - Loss: 1.5908 - Accuracy: 0.2810 - F1: 0.2668
sub_14:Test (Best Model) - Loss: 1.5978 - Accuracy: 0.2476 - F1: 0.2220
sub_6:Test (Best Model) - Loss: 1.6117 - Accuracy: 0.2095 - F1: 0.1709
sub_4:Test (Best Model) - Loss: 1.6171 - Accuracy: 0.1905 - F1: 0.1755
sub_11:Test (Best Model) - Loss: 1.6329 - Accuracy: 0.1619 - F1: 0.1541
sub_3:Test (Best Model) - Loss: 1.6385 - Accuracy: 0.0952 - F1: 0.0870
sub_7:Test (Best Model) - Loss: 1.6117 - Accuracy: 0.2429 - F1: 0.1595
sub_10:Test (Best Model) - Loss: 1.6035 - Accuracy: 0.2714 - F1: 0.2517
sub_13:Test (Best Model) - Loss: 1.6170 - Accuracy: 0.1762 - F1: 0.1188
sub_1:Test (Best Model) - Loss: 1.6291 - Accuracy: 0.1143 - F1: 0.1062
sub_14:Test (Best Model) - Loss: 1.6214 - Accuracy: 0.1762 - F1: 0.1360
sub_5:Test (Best Model) - Loss: 1.6165 - Accuracy: 0.1714 - F1: 0.1285
sub_9:Test (Best Model) - Loss: 1.6080 - Accuracy: 0.2095 - F1: 0.1559
sub_6:Test (Best Model) - Loss: 1.6096 - Accuracy: 0.2429 - F1: 0.2053
sub_12:Test (Best Model) - Loss: 1.6034 - Accuracy: 0.1952 - F1: 0.1931
sub_11:Test (Best Model) - Loss: 1.6011 - Accuracy: 0.2143 - F1: 0.1883
sub_3:Test (Best Model) - Loss: 1.5941 - Accuracy: 0.2857 - F1: 0.2368
sub_8:Test (Best Model) - Loss: 1.5907 - Accuracy: 0.3571 - F1: 0.3397
sub_7:Test (Best Model) - Loss: 1.6068 - Accuracy: 0.1952 - F1: 0.1876
sub_10:Test (Best Model) - Loss: 1.6021 - Accuracy: 0.2571 - F1: 0.2519
sub_1:Test (Best Model) - Loss: 1.6016 - Accuracy: 0.2286 - F1: 0.2257
sub_5:Test (Best Model) - Loss: 1.6083 - Accuracy: 0.2048 - F1: 0.1981
sub_6:Test (Best Model) - Loss: 1.6291 - Accuracy: 0.1333 - F1: 0.1038
sub_4:Test (Best Model) - Loss: 1.5961 - Accuracy: 0.2286 - F1: 0.1790
sub_3:Test (Best Model) - Loss: 1.6113 - Accuracy: 0.1857 - F1: 0.1729
sub_13:Test (Best Model) - Loss: 1.6073 - Accuracy: 0.2619 - F1: 0.2525
sub_8:Test (Best Model) - Loss: 1.6343 - Accuracy: 0.1905 - F1: 0.1498
sub_14:Test (Best Model) - Loss: 1.6039 - Accuracy: 0.2476 - F1: 0.2427
sub_2:Test (Best Model) - Loss: 1.5772 - Accuracy: 0.2048 - F1: 0.1819
sub_9:Test (Best Model) - Loss: 1.6220 - Accuracy: 0.2333 - F1: 0.1333
sub_7:Test (Best Model) - Loss: 1.6226 - Accuracy: 0.1857 - F1: 0.1836
sub_10:Test (Best Model) - Loss: 1.5956 - Accuracy: 0.2333 - F1: 0.2016
sub_12:Test (Best Model) - Loss: 1.6002 - Accuracy: 0.2571 - F1: 0.2464
sub_5:Test (Best Model) - Loss: 1.6224 - Accuracy: 0.1905 - F1: 0.1759
sub_11:Test (Best Model) - Loss: 1.5961 - Accuracy: 0.1905 - F1: 0.1975
sub_14:Test (Best Model) - Loss: 1.6185 - Accuracy: 0.2048 - F1: 0.1981
sub_1:Test (Best Model) - Loss: 1.5980 - Accuracy: 0.2190 - F1: 0.1188
sub_3:Test (Best Model) - Loss: 1.6119 - Accuracy: 0.1476 - F1: 0.1354
sub_4:Test (Best Model) - Loss: 1.6191 - Accuracy: 0.1429 - F1: 0.1338
sub_7:Test (Best Model) - Loss: 1.6144 - Accuracy: 0.2143 - F1: 0.2063
sub_9:Test (Best Model) - Loss: 1.5900 - Accuracy: 0.2571 - F1: 0.2320
sub_6:Test (Best Model) - Loss: 1.6073 - Accuracy: 0.2762 - F1: 0.2623
sub_13:Test (Best Model) - Loss: 1.6125 - Accuracy: 0.2571 - F1: 0.2120
sub_2:Test (Best Model) - Loss: 1.5929 - Accuracy: 0.1810 - F1: 0.1369
sub_12:Test (Best Model) - Loss: 1.5982 - Accuracy: 0.2333 - F1: 0.2109
sub_10:Test (Best Model) - Loss: 1.6400 - Accuracy: 0.1286 - F1: 0.1315
sub_8:Test (Best Model) - Loss: 1.5910 - Accuracy: 0.2619 - F1: 0.2588
sub_5:Test (Best Model) - Loss: 1.5992 - Accuracy: 0.2095 - F1: 0.1973
sub_14:Test (Best Model) - Loss: 1.6319 - Accuracy: 0.1381 - F1: 0.1281
sub_4:Test (Best Model) - Loss: 1.5799 - Accuracy: 0.2810 - F1: 0.2675
sub_3:Test (Best Model) - Loss: 1.6430 - Accuracy: 0.1476 - F1: 0.1439
sub_7:Test (Best Model) - Loss: 1.6305 - Accuracy: 0.1476 - F1: 0.1366
sub_6:Test (Best Model) - Loss: 1.6230 - Accuracy: 0.1619 - F1: 0.1434
sub_11:Test (Best Model) - Loss: 1.5977 - Accuracy: 0.2619 - F1: 0.2491
sub_1:Test (Best Model) - Loss: 1.6197 - Accuracy: 0.1476 - F1: 0.1224
sub_13:Test (Best Model) - Loss: 1.6239 - Accuracy: 0.1571 - F1: 0.1340
sub_10:Test (Best Model) - Loss: 1.6225 - Accuracy: 0.1619 - F1: 0.1415
sub_14:Test (Best Model) - Loss: 1.5771 - Accuracy: 0.2810 - F1: 0.2629
sub_2:Test (Best Model) - Loss: 1.6274 - Accuracy: 0.1667 - F1: 0.1139
sub_4:Test (Best Model) - Loss: 1.6024 - Accuracy: 0.2095 - F1: 0.2059
sub_3:Test (Best Model) - Loss: 1.6026 - Accuracy: 0.2143 - F1: 0.1927
sub_12:Test (Best Model) - Loss: 1.6141 - Accuracy: 0.1762 - F1: 0.1758
sub_6:Test (Best Model) - Loss: 1.5978 - Accuracy: 0.2286 - F1: 0.2214
sub_7:Test (Best Model) - Loss: 1.6005 - Accuracy: 0.2429 - F1: 0.2184
sub_9:Test (Best Model) - Loss: 1.5992 - Accuracy: 0.2238 - F1: 0.2091
sub_13:Test (Best Model) - Loss: 1.6126 - Accuracy: 0.1857 - F1: 0.1781
sub_1:Test (Best Model) - Loss: 1.6210 - Accuracy: 0.2333 - F1: 0.1629
sub_8:Test (Best Model) - Loss: 1.6030 - Accuracy: 0.2048 - F1: 0.2066
sub_12:Test (Best Model) - Loss: 1.6087 - Accuracy: 0.1810 - F1: 0.1744
sub_14:Test (Best Model) - Loss: 1.6117 - Accuracy: 0.2095 - F1: 0.2047
sub_3:Test (Best Model) - Loss: 1.6104 - Accuracy: 0.2143 - F1: 0.1621
sub_4:Test (Best Model) - Loss: 1.6225 - Accuracy: 0.1619 - F1: 0.1498
sub_11:Test (Best Model) - Loss: 1.6348 - Accuracy: 0.1524 - F1: 0.1055
sub_6:Test (Best Model) - Loss: 1.6157 - Accuracy: 0.1714 - F1: 0.1463
sub_7:Test (Best Model) - Loss: 1.6150 - Accuracy: 0.1857 - F1: 0.1705
sub_2:Test (Best Model) - Loss: 1.5955 - Accuracy: 0.2571 - F1: 0.2221
sub_10:Test (Best Model) - Loss: 1.6060 - Accuracy: 0.2381 - F1: 0.2321
sub_5:Test (Best Model) - Loss: 1.5904 - Accuracy: 0.2381 - F1: 0.2167
sub_13:Test (Best Model) - Loss: 1.6006 - Accuracy: 0.2286 - F1: 0.2048
sub_8:Test (Best Model) - Loss: 1.5912 - Accuracy: 0.2286 - F1: 0.2112
sub_12:Test (Best Model) - Loss: 1.6223 - Accuracy: 0.1762 - F1: 0.1500
sub_14:Test (Best Model) - Loss: 1.6102 - Accuracy: 0.2048 - F1: 0.1900
sub_6:Test (Best Model) - Loss: 1.6141 - Accuracy: 0.1810 - F1: 0.1672
sub_1:Test (Best Model) - Loss: 1.5941 - Accuracy: 0.2762 - F1: 0.2157
sub_2:Test (Best Model) - Loss: 1.6126 - Accuracy: 0.2048 - F1: 0.2000
sub_4:Test (Best Model) - Loss: 1.6129 - Accuracy: 0.1905 - F1: 0.1601
sub_13:Test (Best Model) - Loss: 1.6215 - Accuracy: 0.1333 - F1: 0.0976
sub_7:Test (Best Model) - Loss: 1.6171 - Accuracy: 0.1952 - F1: 0.1952
sub_11:Test (Best Model) - Loss: 1.6263 - Accuracy: 0.1714 - F1: 0.1464
sub_9:Test (Best Model) - Loss: 1.5867 - Accuracy: 0.3571 - F1: 0.3161
sub_12:Test (Best Model) - Loss: 1.5926 - Accuracy: 0.3476 - F1: 0.3175
sub_14:Test (Best Model) - Loss: 1.5990 - Accuracy: 0.2619 - F1: 0.2109
sub_6:Test (Best Model) - Loss: 1.6062 - Accuracy: 0.2857 - F1: 0.2752
sub_3:Test (Best Model) - Loss: 1.5893 - Accuracy: 0.2762 - F1: 0.2745
sub_8:Test (Best Model) - Loss: 1.6317 - Accuracy: 0.1238 - F1: 0.1082
sub_10:Test (Best Model) - Loss: 1.6087 - Accuracy: 0.2286 - F1: 0.1773
sub_1:Test (Best Model) - Loss: 1.6021 - Accuracy: 0.2381 - F1: 0.2135
sub_5:Test (Best Model) - Loss: 1.6142 - Accuracy: 0.2190 - F1: 0.1997
sub_13:Test (Best Model) - Loss: 1.6158 - Accuracy: 0.1905 - F1: 0.1731
sub_12:Test (Best Model) - Loss: 1.6192 - Accuracy: 0.1857 - F1: 0.1680
sub_11:Test (Best Model) - Loss: 1.6057 - Accuracy: 0.2286 - F1: 0.2165
sub_7:Test (Best Model) - Loss: 1.6236 - Accuracy: 0.1905 - F1: 0.1623
sub_9:Test (Best Model) - Loss: 1.6356 - Accuracy: 0.1238 - F1: 0.1087
sub_14:Test (Best Model) - Loss: 1.6181 - Accuracy: 0.2143 - F1: 0.1851
sub_4:Test (Best Model) - Loss: 1.6029 - Accuracy: 0.1810 - F1: 0.1416
sub_10:Test (Best Model) - Loss: 1.6078 - Accuracy: 0.2667 - F1: 0.2096
sub_8:Test (Best Model) - Loss: 1.5757 - Accuracy: 0.2905 - F1: 0.2844
sub_3:Test (Best Model) - Loss: 1.6241 - Accuracy: 0.1762 - F1: 0.1467
sub_13:Test (Best Model) - Loss: 1.6030 - Accuracy: 0.1905 - F1: 0.1608
sub_11:Test (Best Model) - Loss: 1.6040 - Accuracy: 0.2381 - F1: 0.2435
sub_4:Test (Best Model) - Loss: 1.6126 - Accuracy: 0.1714 - F1: 0.1658
sub_14:Test (Best Model) - Loss: 1.6089 - Accuracy: 0.2333 - F1: 0.2265
sub_9:Test (Best Model) - Loss: 1.5981 - Accuracy: 0.2000 - F1: 0.1735
sub_12:Test (Best Model) - Loss: 1.6130 - Accuracy: 0.2381 - F1: 0.1752
sub_1:Test (Best Model) - Loss: 1.6006 - Accuracy: 0.2571 - F1: 0.2306
sub_3:Test (Best Model) - Loss: 1.6286 - Accuracy: 0.1619 - F1: 0.1369
sub_2:Test (Best Model) - Loss: 1.6103 - Accuracy: 0.1762 - F1: 0.1655
sub_13:Test (Best Model) - Loss: 1.5895 - Accuracy: 0.2905 - F1: 0.2333
sub_8:Test (Best Model) - Loss: 1.6038 - Accuracy: 0.2000 - F1: 0.1603
sub_6:Test (Best Model) - Loss: 1.6066 - Accuracy: 0.2571 - F1: 0.2073
sub_5:Test (Best Model) - Loss: 1.6036 - Accuracy: 0.2619 - F1: 0.2077
sub_7:Test (Best Model) - Loss: 1.6321 - Accuracy: 0.1571 - F1: 0.1325
sub_11:Test (Best Model) - Loss: 1.6244 - Accuracy: 0.2000 - F1: 0.1560
sub_12:Test (Best Model) - Loss: 1.6138 - Accuracy: 0.1714 - F1: 0.1041
sub_10:Test (Best Model) - Loss: 1.6162 - Accuracy: 0.2381 - F1: 0.1414
sub_2:Test (Best Model) - Loss: 1.5980 - Accuracy: 0.2524 - F1: 0.2248
sub_1:Test (Best Model) - Loss: 1.6090 - Accuracy: 0.2095 - F1: 0.1928
sub_9:Test (Best Model) - Loss: 1.6275 - Accuracy: 0.1048 - F1: 0.1000
sub_3:Test (Best Model) - Loss: 1.6145 - Accuracy: 0.1762 - F1: 0.1418
sub_13:Test (Best Model) - Loss: 1.5924 - Accuracy: 0.3000 - F1: 0.2651
sub_6:Test (Best Model) - Loss: 1.6072 - Accuracy: 0.2476 - F1: 0.2275
sub_7:Test (Best Model) - Loss: 1.6103 - Accuracy: 0.2095 - F1: 0.1637
sub_10:Test (Best Model) - Loss: 1.6006 - Accuracy: 0.2190 - F1: 0.2036
sub_11:Test (Best Model) - Loss: 1.6161 - Accuracy: 0.2095 - F1: 0.2091
sub_1:Test (Best Model) - Loss: 1.6099 - Accuracy: 0.2190 - F1: 0.1977
sub_5:Test (Best Model) - Loss: 1.6120 - Accuracy: 0.2000 - F1: 0.1840
sub_8:Test (Best Model) - Loss: 1.5879 - Accuracy: 0.2524 - F1: 0.2389
sub_11:Test (Best Model) - Loss: 1.5937 - Accuracy: 0.2714 - F1: 0.2432
sub_5:Test (Best Model) - Loss: 1.6174 - Accuracy: 0.1810 - F1: 0.1520
sub_2:Test (Best Model) - Loss: 1.5946 - Accuracy: 0.2667 - F1: 0.2292
sub_9:Test (Best Model) - Loss: 1.5869 - Accuracy: 0.3095 - F1: 0.3027
sub_8:Test (Best Model) - Loss: 1.5807 - Accuracy: 0.2810 - F1: 0.2741
sub_5:Test (Best Model) - Loss: 1.6039 - Accuracy: 0.2429 - F1: 0.2264
sub_2:Test (Best Model) - Loss: 1.6148 - Accuracy: 0.2143 - F1: 0.1844
sub_9:Test (Best Model) - Loss: 1.6231 - Accuracy: 0.1619 - F1: 0.1446
sub_5:Test (Best Model) - Loss: 1.6057 - Accuracy: 0.2238 - F1: 0.2291
sub_9:Test (Best Model) - Loss: 1.6085 - Accuracy: 0.2143 - F1: 0.1805
sub_8:Test (Best Model) - Loss: 1.5854 - Accuracy: 0.3476 - F1: 0.3232
sub_5:Test (Best Model) - Loss: 1.6125 - Accuracy: 0.2095 - F1: 0.1908
sub_9:Test (Best Model) - Loss: 1.6020 - Accuracy: 0.2286 - F1: 0.2086
sub_8:Test (Best Model) - Loss: 1.5970 - Accuracy: 0.2714 - F1: 0.2130

=== Summary Results ===

acc: 21.39 ± 1.60
F1: 18.82 ± 1.74
acc-in: 22.36 ± 2.21
F1-in: 21.30 ± 2.40
