lr: 1e-05
sub_3:Test (Best Model) - Loss: 1.6962 - Accuracy: 0.2238 - F1: 0.1043
sub_1:Test (Best Model) - Loss: 1.6023 - Accuracy: 0.2333 - F1: 0.1231
sub_2:Test (Best Model) - Loss: 1.5330 - Accuracy: 0.2381 - F1: 0.1307
sub_3:Test (Best Model) - Loss: 1.7290 - Accuracy: 0.2143 - F1: 0.0925
sub_1:Test (Best Model) - Loss: 1.6694 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 1.5454 - Accuracy: 0.2286 - F1: 0.1178
sub_3:Test (Best Model) - Loss: 1.7649 - Accuracy: 0.2048 - F1: 0.0762
sub_1:Test (Best Model) - Loss: 1.7021 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 1.7672 - Accuracy: 0.2000 - F1: 0.0700
sub_2:Test (Best Model) - Loss: 1.5626 - Accuracy: 0.2286 - F1: 0.1151
sub_1:Test (Best Model) - Loss: 1.6770 - Accuracy: 0.2000 - F1: 0.0669
sub_3:Test (Best Model) - Loss: 1.7361 - Accuracy: 0.2476 - F1: 0.1300
sub_2:Test (Best Model) - Loss: 1.5786 - Accuracy: 0.2286 - F1: 0.1209
sub_3:Test (Best Model) - Loss: 1.5616 - Accuracy: 0.2524 - F1: 0.1483
sub_1:Test (Best Model) - Loss: 1.7490 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 1.5277 - Accuracy: 0.2571 - F1: 0.1675
sub_3:Test (Best Model) - Loss: 1.5783 - Accuracy: 0.2476 - F1: 0.1321
sub_1:Test (Best Model) - Loss: 1.6126 - Accuracy: 0.2810 - F1: 0.2355
sub_3:Test (Best Model) - Loss: 1.5686 - Accuracy: 0.2238 - F1: 0.1128
sub_1:Test (Best Model) - Loss: 1.6205 - Accuracy: 0.3381 - F1: 0.2702
sub_3:Test (Best Model) - Loss: 1.6050 - Accuracy: 0.2571 - F1: 0.1468
sub_2:Test (Best Model) - Loss: 1.4120 - Accuracy: 0.3857 - F1: 0.2811
sub_3:Test (Best Model) - Loss: 1.5559 - Accuracy: 0.2429 - F1: 0.1493
sub_1:Test (Best Model) - Loss: 1.7030 - Accuracy: 0.3238 - F1: 0.2307
sub_2:Test (Best Model) - Loss: 1.5573 - Accuracy: 0.4048 - F1: 0.2987
sub_3:Test (Best Model) - Loss: 1.4890 - Accuracy: 0.2905 - F1: 0.2480
sub_1:Test (Best Model) - Loss: 1.5746 - Accuracy: 0.3333 - F1: 0.2842
sub_2:Test (Best Model) - Loss: 1.4275 - Accuracy: 0.3810 - F1: 0.2691
sub_3:Test (Best Model) - Loss: 1.5410 - Accuracy: 0.2524 - F1: 0.1635
sub_1:Test (Best Model) - Loss: 1.7026 - Accuracy: 0.3000 - F1: 0.2052
sub_2:Test (Best Model) - Loss: 1.4533 - Accuracy: 0.3810 - F1: 0.2753
sub_2:Test (Best Model) - Loss: 1.4777 - Accuracy: 0.3952 - F1: 0.2784
sub_1:Test (Best Model) - Loss: 1.5929 - Accuracy: 0.3238 - F1: 0.2542
sub_3:Test (Best Model) - Loss: 1.5565 - Accuracy: 0.3238 - F1: 0.2750
sub_3:Test (Best Model) - Loss: 1.6202 - Accuracy: 0.2857 - F1: 0.1925
sub_1:Test (Best Model) - Loss: 1.5638 - Accuracy: 0.2667 - F1: 0.1660
sub_2:Test (Best Model) - Loss: 2.0056 - Accuracy: 0.3238 - F1: 0.3000
sub_3:Test (Best Model) - Loss: 1.5504 - Accuracy: 0.2952 - F1: 0.2499
sub_2:Test (Best Model) - Loss: 1.7134 - Accuracy: 0.3857 - F1: 0.3348
sub_1:Test (Best Model) - Loss: 1.5686 - Accuracy: 0.2476 - F1: 0.1697
sub_2:Test (Best Model) - Loss: 1.6657 - Accuracy: 0.3381 - F1: 0.2313
sub_1:Test (Best Model) - Loss: 1.6515 - Accuracy: 0.2810 - F1: 0.2055
sub_2:Test (Best Model) - Loss: 1.8153 - Accuracy: 0.2429 - F1: 0.1683
sub_1:Test (Best Model) - Loss: 1.5506 - Accuracy: 0.3095 - F1: 0.2116
sub_2:Test (Best Model) - Loss: 1.6681 - Accuracy: 0.3238 - F1: 0.2378
sub_4:Test (Best Model) - Loss: 1.6054 - Accuracy: 0.2667 - F1: 0.1924
sub_5:Test (Best Model) - Loss: 1.8396 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 1.6691 - Accuracy: 0.2857 - F1: 0.1870
sub_5:Test (Best Model) - Loss: 1.8079 - Accuracy: 0.2333 - F1: 0.1256
sub_6:Test (Best Model) - Loss: 1.8408 - Accuracy: 0.2952 - F1: 0.1876
sub_4:Test (Best Model) - Loss: 1.5630 - Accuracy: 0.3571 - F1: 0.3379
sub_5:Test (Best Model) - Loss: 1.8302 - Accuracy: 0.2000 - F1: 0.0751
sub_6:Test (Best Model) - Loss: 1.6543 - Accuracy: 0.3048 - F1: 0.1863
sub_5:Test (Best Model) - Loss: 1.8319 - Accuracy: 0.2095 - F1: 0.0848
sub_4:Test (Best Model) - Loss: 1.5865 - Accuracy: 0.3381 - F1: 0.3228
sub_5:Test (Best Model) - Loss: 1.8329 - Accuracy: 0.2429 - F1: 0.1645
sub_6:Test (Best Model) - Loss: 1.7254 - Accuracy: 0.3048 - F1: 0.1866
sub_4:Test (Best Model) - Loss: 1.5742 - Accuracy: 0.3190 - F1: 0.2680
sub_6:Test (Best Model) - Loss: 1.6213 - Accuracy: 0.2810 - F1: 0.1988
sub_5:Test (Best Model) - Loss: 2.1710 - Accuracy: 0.2524 - F1: 0.1394
sub_4:Test (Best Model) - Loss: 1.5988 - Accuracy: 0.3429 - F1: 0.3260
sub_6:Test (Best Model) - Loss: 1.5832 - Accuracy: 0.2429 - F1: 0.2422
sub_5:Test (Best Model) - Loss: 2.5725 - Accuracy: 0.3095 - F1: 0.1804
sub_4:Test (Best Model) - Loss: 1.6443 - Accuracy: 0.3619 - F1: 0.2991
sub_5:Test (Best Model) - Loss: 1.9617 - Accuracy: 0.2762 - F1: 0.1613
sub_6:Test (Best Model) - Loss: 1.5647 - Accuracy: 0.3095 - F1: 0.2596
sub_4:Test (Best Model) - Loss: 1.6102 - Accuracy: 0.3143 - F1: 0.2432
sub_5:Test (Best Model) - Loss: 2.1910 - Accuracy: 0.2810 - F1: 0.1712
sub_6:Test (Best Model) - Loss: 1.6184 - Accuracy: 0.3524 - F1: 0.3085
sub_4:Test (Best Model) - Loss: 1.5828 - Accuracy: 0.3571 - F1: 0.2727
sub_5:Test (Best Model) - Loss: 2.0986 - Accuracy: 0.3048 - F1: 0.1748
sub_6:Test (Best Model) - Loss: 1.5967 - Accuracy: 0.2667 - F1: 0.2514
sub_4:Test (Best Model) - Loss: 1.6325 - Accuracy: 0.3286 - F1: 0.2716
sub_6:Test (Best Model) - Loss: 1.6184 - Accuracy: 0.2381 - F1: 0.1804
sub_5:Test (Best Model) - Loss: 1.5270 - Accuracy: 0.3381 - F1: 0.2437
sub_6:Test (Best Model) - Loss: 3.0632 - Accuracy: 0.1905 - F1: 0.0929
sub_5:Test (Best Model) - Loss: 1.5627 - Accuracy: 0.3048 - F1: 0.1951
sub_4:Test (Best Model) - Loss: 1.6052 - Accuracy: 0.3667 - F1: 0.2881
sub_5:Test (Best Model) - Loss: 1.5438 - Accuracy: 0.3095 - F1: 0.1936
sub_6:Test (Best Model) - Loss: 10.0577 - Accuracy: 0.1905 - F1: 0.1152
sub_4:Test (Best Model) - Loss: 1.5527 - Accuracy: 0.3571 - F1: 0.3022
sub_5:Test (Best Model) - Loss: 1.5497 - Accuracy: 0.3286 - F1: 0.1968
sub_6:Test (Best Model) - Loss: 2.1184 - Accuracy: 0.1905 - F1: 0.1061
sub_5:Test (Best Model) - Loss: 1.5797 - Accuracy: 0.2286 - F1: 0.1195
sub_4:Test (Best Model) - Loss: 1.5477 - Accuracy: 0.3810 - F1: 0.3621
sub_6:Test (Best Model) - Loss: 1.6790 - Accuracy: 0.1857 - F1: 0.1176
sub_4:Test (Best Model) - Loss: 1.5990 - Accuracy: 0.3238 - F1: 0.2726
sub_4:Test (Best Model) - Loss: 1.6123 - Accuracy: 0.2048 - F1: 0.1379
sub_6:Test (Best Model) - Loss: 2.5911 - Accuracy: 0.1905 - F1: 0.0880
sub_4:Test (Best Model) - Loss: 1.5678 - Accuracy: 0.3714 - F1: 0.3505
sub_8:Test (Best Model) - Loss: 1.4524 - Accuracy: 0.3714 - F1: 0.2378
sub_7:Test (Best Model) - Loss: 1.5982 - Accuracy: 0.2238 - F1: 0.1540
sub_9:Test (Best Model) - Loss: 1.6405 - Accuracy: 0.3286 - F1: 0.2499
sub_8:Test (Best Model) - Loss: 1.3950 - Accuracy: 0.3810 - F1: 0.2449
sub_8:Test (Best Model) - Loss: 1.4517 - Accuracy: 0.3667 - F1: 0.2268
sub_9:Test (Best Model) - Loss: 1.4694 - Accuracy: 0.3048 - F1: 0.1700
sub_7:Test (Best Model) - Loss: 1.5736 - Accuracy: 0.2619 - F1: 0.2075
sub_9:Test (Best Model) - Loss: 1.5598 - Accuracy: 0.2048 - F1: 0.0765
sub_8:Test (Best Model) - Loss: 1.3927 - Accuracy: 0.3762 - F1: 0.2436
sub_7:Test (Best Model) - Loss: 1.6028 - Accuracy: 0.2714 - F1: 0.1973
sub_9:Test (Best Model) - Loss: 1.5736 - Accuracy: 0.2000 - F1: 0.0669
sub_8:Test (Best Model) - Loss: 1.3956 - Accuracy: 0.3857 - F1: 0.2498
sub_7:Test (Best Model) - Loss: 1.5854 - Accuracy: 0.2619 - F1: 0.2020
sub_8:Test (Best Model) - Loss: 1.4956 - Accuracy: 0.3667 - F1: 0.2514
sub_9:Test (Best Model) - Loss: 1.7903 - Accuracy: 0.2952 - F1: 0.1667
sub_7:Test (Best Model) - Loss: 1.5695 - Accuracy: 0.2952 - F1: 0.2560
sub_8:Test (Best Model) - Loss: 1.4025 - Accuracy: 0.3476 - F1: 0.1976
sub_9:Test (Best Model) - Loss: 1.5066 - Accuracy: 0.3381 - F1: 0.2101
sub_8:Test (Best Model) - Loss: 1.3973 - Accuracy: 0.3524 - F1: 0.2198
sub_9:Test (Best Model) - Loss: 1.5609 - Accuracy: 0.2952 - F1: 0.1670
sub_8:Test (Best Model) - Loss: 1.3986 - Accuracy: 0.3524 - F1: 0.2349
sub_7:Test (Best Model) - Loss: 1.5973 - Accuracy: 0.2857 - F1: 0.2453
sub_9:Test (Best Model) - Loss: 1.5208 - Accuracy: 0.2952 - F1: 0.1656
sub_8:Test (Best Model) - Loss: 1.3692 - Accuracy: 0.3524 - F1: 0.2512
sub_7:Test (Best Model) - Loss: 1.6254 - Accuracy: 0.2286 - F1: 0.1354
sub_9:Test (Best Model) - Loss: 1.6825 - Accuracy: 0.2762 - F1: 0.1964
sub_7:Test (Best Model) - Loss: 1.5931 - Accuracy: 0.2190 - F1: 0.1598
sub_9:Test (Best Model) - Loss: 1.5177 - Accuracy: 0.2952 - F1: 0.1651
sub_7:Test (Best Model) - Loss: 1.6042 - Accuracy: 0.2476 - F1: 0.1643
sub_8:Test (Best Model) - Loss: 1.9188 - Accuracy: 0.3810 - F1: 0.3126
sub_8:Test (Best Model) - Loss: 1.4676 - Accuracy: 0.3857 - F1: 0.2366
sub_9:Test (Best Model) - Loss: 1.7114 - Accuracy: 0.3714 - F1: 0.2996
sub_7:Test (Best Model) - Loss: 1.6499 - Accuracy: 0.2571 - F1: 0.1940
sub_8:Test (Best Model) - Loss: 1.6174 - Accuracy: 0.3714 - F1: 0.2132
sub_7:Test (Best Model) - Loss: 1.6420 - Accuracy: 0.2286 - F1: 0.1685
sub_9:Test (Best Model) - Loss: 1.6301 - Accuracy: 0.3905 - F1: 0.3174
sub_8:Test (Best Model) - Loss: 1.6181 - Accuracy: 0.3714 - F1: 0.2380
sub_9:Test (Best Model) - Loss: 2.2290 - Accuracy: 0.2095 - F1: 0.1106
sub_7:Test (Best Model) - Loss: 1.7276 - Accuracy: 0.2524 - F1: 0.1951
sub_8:Test (Best Model) - Loss: 1.4074 - Accuracy: 0.3952 - F1: 0.2570
sub_9:Test (Best Model) - Loss: 1.7917 - Accuracy: 0.3143 - F1: 0.2169
sub_7:Test (Best Model) - Loss: 1.6500 - Accuracy: 0.1952 - F1: 0.1009
sub_9:Test (Best Model) - Loss: 1.9403 - Accuracy: 0.2667 - F1: 0.1806
sub_7:Test (Best Model) - Loss: 1.6995 - Accuracy: 0.2238 - F1: 0.1682
sub_7:Test (Best Model) - Loss: 1.6687 - Accuracy: 0.1952 - F1: 0.1191
sub_11:Test (Best Model) - Loss: 1.5072 - Accuracy: 0.3429 - F1: 0.2271
sub_10:Test (Best Model) - Loss: 1.7137 - Accuracy: 0.2619 - F1: 0.1618
sub_12:Test (Best Model) - Loss: 1.5048 - Accuracy: 0.3048 - F1: 0.2426
sub_10:Test (Best Model) - Loss: 1.8362 - Accuracy: 0.2667 - F1: 0.1680
sub_11:Test (Best Model) - Loss: 1.5285 - Accuracy: 0.3286 - F1: 0.1984
sub_10:Test (Best Model) - Loss: 1.9696 - Accuracy: 0.2619 - F1: 0.1466
sub_12:Test (Best Model) - Loss: 1.5620 - Accuracy: 0.2952 - F1: 0.2451
sub_11:Test (Best Model) - Loss: 1.5270 - Accuracy: 0.3286 - F1: 0.1966
sub_12:Test (Best Model) - Loss: 1.5859 - Accuracy: 0.2857 - F1: 0.1897
sub_10:Test (Best Model) - Loss: 1.8206 - Accuracy: 0.2524 - F1: 0.1448
sub_11:Test (Best Model) - Loss: 1.5279 - Accuracy: 0.3333 - F1: 0.1927
sub_12:Test (Best Model) - Loss: 1.5706 - Accuracy: 0.2762 - F1: 0.1654
sub_10:Test (Best Model) - Loss: 1.7995 - Accuracy: 0.2857 - F1: 0.1657
sub_11:Test (Best Model) - Loss: 1.5069 - Accuracy: 0.3143 - F1: 0.2062
sub_12:Test (Best Model) - Loss: 1.5510 - Accuracy: 0.3429 - F1: 0.2718
sub_10:Test (Best Model) - Loss: 1.5604 - Accuracy: 0.3762 - F1: 0.2768
sub_11:Test (Best Model) - Loss: 1.5719 - Accuracy: 0.2190 - F1: 0.1041
sub_12:Test (Best Model) - Loss: 1.5651 - Accuracy: 0.2048 - F1: 0.1162
sub_10:Test (Best Model) - Loss: 1.4848 - Accuracy: 0.3143 - F1: 0.2003
sub_11:Test (Best Model) - Loss: 1.4901 - Accuracy: 0.3810 - F1: 0.2176
sub_11:Test (Best Model) - Loss: 1.4468 - Accuracy: 0.3952 - F1: 0.2355
sub_10:Test (Best Model) - Loss: 1.5207 - Accuracy: 0.3000 - F1: 0.2035
sub_12:Test (Best Model) - Loss: 1.6598 - Accuracy: 0.2143 - F1: 0.1281
sub_11:Test (Best Model) - Loss: 1.5287 - Accuracy: 0.3333 - F1: 0.2304
sub_10:Test (Best Model) - Loss: 1.5262 - Accuracy: 0.3143 - F1: 0.2411
sub_12:Test (Best Model) - Loss: 1.6128 - Accuracy: 0.1857 - F1: 0.1057
sub_11:Test (Best Model) - Loss: 1.5042 - Accuracy: 0.3476 - F1: 0.2298
sub_10:Test (Best Model) - Loss: 1.5247 - Accuracy: 0.2952 - F1: 0.1709
sub_12:Test (Best Model) - Loss: 1.6536 - Accuracy: 0.1857 - F1: 0.0964
sub_10:Test (Best Model) - Loss: 1.6418 - Accuracy: 0.3048 - F1: 0.2117
sub_12:Test (Best Model) - Loss: 1.6382 - Accuracy: 0.1571 - F1: 0.0723
sub_11:Test (Best Model) - Loss: 1.4831 - Accuracy: 0.4190 - F1: 0.3937
sub_10:Test (Best Model) - Loss: 1.8215 - Accuracy: 0.2619 - F1: 0.1713
sub_11:Test (Best Model) - Loss: 1.5036 - Accuracy: 0.3190 - F1: 0.1833
sub_12:Test (Best Model) - Loss: 1.6949 - Accuracy: 0.3571 - F1: 0.2610
sub_10:Test (Best Model) - Loss: 1.7343 - Accuracy: 0.2905 - F1: 0.1828
sub_11:Test (Best Model) - Loss: 1.4988 - Accuracy: 0.3143 - F1: 0.1804
sub_12:Test (Best Model) - Loss: 2.1670 - Accuracy: 0.2476 - F1: 0.1326
sub_12:Test (Best Model) - Loss: 1.9566 - Accuracy: 0.2000 - F1: 0.0667
sub_11:Test (Best Model) - Loss: 1.4690 - Accuracy: 0.3429 - F1: 0.2055
sub_12:Test (Best Model) - Loss: 1.9486 - Accuracy: 0.2238 - F1: 0.1057
sub_10:Test (Best Model) - Loss: 1.8229 - Accuracy: 0.3000 - F1: 0.2235
sub_11:Test (Best Model) - Loss: 1.5318 - Accuracy: 0.3381 - F1: 0.2003
sub_12:Test (Best Model) - Loss: 2.0632 - Accuracy: 0.2381 - F1: 0.1192
sub_10:Test (Best Model) - Loss: 1.6705 - Accuracy: 0.2905 - F1: 0.1801
sub_13:Test (Best Model) - Loss: 1.5237 - Accuracy: 0.3333 - F1: 0.2007
sub_14:Test (Best Model) - Loss: 1.5264 - Accuracy: 0.3429 - F1: 0.2712
sub_13:Test (Best Model) - Loss: 1.5495 - Accuracy: 0.2762 - F1: 0.1570
sub_14:Test (Best Model) - Loss: 1.5393 - Accuracy: 0.3143 - F1: 0.2537
sub_13:Test (Best Model) - Loss: 1.5519 - Accuracy: 0.2524 - F1: 0.1397
sub_14:Test (Best Model) - Loss: 1.5571 - Accuracy: 0.3476 - F1: 0.2435
sub_13:Test (Best Model) - Loss: 1.5716 - Accuracy: 0.2333 - F1: 0.1233
sub_14:Test (Best Model) - Loss: 1.5431 - Accuracy: 0.3429 - F1: 0.2607
sub_13:Test (Best Model) - Loss: 1.4583 - Accuracy: 0.3571 - F1: 0.2852
sub_14:Test (Best Model) - Loss: 1.6836 - Accuracy: 0.2952 - F1: 0.2058
sub_13:Test (Best Model) - Loss: 1.5985 - Accuracy: 0.3000 - F1: 0.1938
sub_14:Test (Best Model) - Loss: 1.5425 - Accuracy: 0.4619 - F1: 0.4136
sub_14:Test (Best Model) - Loss: 1.5566 - Accuracy: 0.3571 - F1: 0.3040
sub_13:Test (Best Model) - Loss: 1.6029 - Accuracy: 0.2952 - F1: 0.2150
sub_14:Test (Best Model) - Loss: 1.5178 - Accuracy: 0.4238 - F1: 0.3282
sub_13:Test (Best Model) - Loss: 1.5566 - Accuracy: 0.3333 - F1: 0.2384
sub_14:Test (Best Model) - Loss: 1.5524 - Accuracy: 0.4095 - F1: 0.3067
sub_14:Test (Best Model) - Loss: 1.4802 - Accuracy: 0.4190 - F1: 0.2989
sub_13:Test (Best Model) - Loss: 1.5835 - Accuracy: 0.3143 - F1: 0.2242
sub_13:Test (Best Model) - Loss: 1.5615 - Accuracy: 0.3238 - F1: 0.2488
sub_14:Test (Best Model) - Loss: 2.2350 - Accuracy: 0.2286 - F1: 0.1352
sub_14:Test (Best Model) - Loss: 1.7735 - Accuracy: 0.2238 - F1: 0.1241
sub_13:Test (Best Model) - Loss: 1.4556 - Accuracy: 0.3381 - F1: 0.1934
sub_13:Test (Best Model) - Loss: 1.5166 - Accuracy: 0.3476 - F1: 0.2166
sub_14:Test (Best Model) - Loss: 1.7263 - Accuracy: 0.2190 - F1: 0.1172
sub_13:Test (Best Model) - Loss: 1.5411 - Accuracy: 0.3381 - F1: 0.1938
sub_13:Test (Best Model) - Loss: 1.5517 - Accuracy: 0.3333 - F1: 0.2104
sub_14:Test (Best Model) - Loss: 1.5897 - Accuracy: 0.2429 - F1: 0.1508
sub_13:Test (Best Model) - Loss: 1.5602 - Accuracy: 0.2476 - F1: 0.1470
sub_14:Test (Best Model) - Loss: 1.8964 - Accuracy: 0.2143 - F1: 0.1163

=== Summary Results ===

acc: 29.33 ± 3.79
F1: 19.72 ± 3.66
acc-in: 34.43 ± 3.36
F1-in: 26.03 ± 3.49
runing time: 1864.51 seconds
