lr: 0.001
sub_1:Test (Best Model) - Loss: 1.6455 - Accuracy: 0.1810 - F1: 0.1401
sub_1:Test (Best Model) - Loss: 1.6166 - Accuracy: 0.2000 - F1: 0.1140
sub_1:Test (Best Model) - Loss: 1.6269 - Accuracy: 0.2095 - F1: 0.1564
sub_1:Test (Best Model) - Loss: 1.6261 - Accuracy: 0.1810 - F1: 0.1040
sub_1:Test (Best Model) - Loss: 1.6204 - Accuracy: 0.1905 - F1: 0.1568
sub_1:Test (Best Model) - Loss: 1.6083 - Accuracy: 0.2286 - F1: 0.1682
sub_1:Test (Best Model) - Loss: 1.6392 - Accuracy: 0.1952 - F1: 0.1542
sub_1:Test (Best Model) - Loss: 1.6735 - Accuracy: 0.1905 - F1: 0.1410
sub_1:Test (Best Model) - Loss: 1.6810 - Accuracy: 0.2000 - F1: 0.1773
sub_1:Test (Best Model) - Loss: 1.6026 - Accuracy: 0.2000 - F1: 0.1300
sub_1:Test (Best Model) - Loss: 1.5914 - Accuracy: 0.2476 - F1: 0.1803
sub_1:Test (Best Model) - Loss: 1.6052 - Accuracy: 0.1952 - F1: 0.0945
sub_1:Test (Best Model) - Loss: 1.6024 - Accuracy: 0.2238 - F1: 0.1279
sub_1:Test (Best Model) - Loss: 1.6051 - Accuracy: 0.2524 - F1: 0.1824
sub_1:Test (Best Model) - Loss: 1.6037 - Accuracy: 0.2238 - F1: 0.1568
sub_2:Test (Best Model) - Loss: 1.4538 - Accuracy: 0.3714 - F1: 0.3105
sub_2:Test (Best Model) - Loss: 1.4709 - Accuracy: 0.3810 - F1: 0.3095
sub_2:Test (Best Model) - Loss: 1.4459 - Accuracy: 0.3952 - F1: 0.3399
sub_2:Test (Best Model) - Loss: 1.4719 - Accuracy: 0.3571 - F1: 0.3099
sub_2:Test (Best Model) - Loss: 1.4530 - Accuracy: 0.3762 - F1: 0.3015
sub_2:Test (Best Model) - Loss: 1.4894 - Accuracy: 0.3476 - F1: 0.3014
sub_2:Test (Best Model) - Loss: 1.4526 - Accuracy: 0.3905 - F1: 0.2838
sub_2:Test (Best Model) - Loss: 1.4504 - Accuracy: 0.4190 - F1: 0.3839
sub_2:Test (Best Model) - Loss: 1.4347 - Accuracy: 0.3810 - F1: 0.3448
sub_2:Test (Best Model) - Loss: 1.4549 - Accuracy: 0.3333 - F1: 0.2836
sub_2:Test (Best Model) - Loss: 1.5075 - Accuracy: 0.2667 - F1: 0.2229
sub_2:Test (Best Model) - Loss: 1.4938 - Accuracy: 0.2810 - F1: 0.2337
sub_2:Test (Best Model) - Loss: 1.5314 - Accuracy: 0.2762 - F1: 0.2205
sub_2:Test (Best Model) - Loss: 1.4726 - Accuracy: 0.3095 - F1: 0.2553
sub_2:Test (Best Model) - Loss: 1.4790 - Accuracy: 0.3238 - F1: 0.2870
sub_3:Test (Best Model) - Loss: 1.5835 - Accuracy: 0.2714 - F1: 0.2345
sub_3:Test (Best Model) - Loss: 1.5872 - Accuracy: 0.2524 - F1: 0.2351
sub_3:Test (Best Model) - Loss: 1.6065 - Accuracy: 0.2571 - F1: 0.2356
sub_3:Test (Best Model) - Loss: 1.6086 - Accuracy: 0.1857 - F1: 0.1380
sub_3:Test (Best Model) - Loss: 1.6069 - Accuracy: 0.2143 - F1: 0.1225
sub_3:Test (Best Model) - Loss: 1.5915 - Accuracy: 0.2619 - F1: 0.1835
sub_3:Test (Best Model) - Loss: 1.6098 - Accuracy: 0.1810 - F1: 0.1181
sub_3:Test (Best Model) - Loss: 1.6109 - Accuracy: 0.2095 - F1: 0.1405
sub_3:Test (Best Model) - Loss: 1.6148 - Accuracy: 0.2000 - F1: 0.1768
sub_3:Test (Best Model) - Loss: 1.6138 - Accuracy: 0.2143 - F1: 0.1571
sub_3:Test (Best Model) - Loss: 1.6311 - Accuracy: 0.2381 - F1: 0.1923
sub_3:Test (Best Model) - Loss: 1.6147 - Accuracy: 0.2238 - F1: 0.1811
sub_3:Test (Best Model) - Loss: 1.6267 - Accuracy: 0.2048 - F1: 0.1645
sub_3:Test (Best Model) - Loss: 1.6232 - Accuracy: 0.2429 - F1: 0.1955
sub_3:Test (Best Model) - Loss: 1.6286 - Accuracy: 0.2000 - F1: 0.1819
sub_4:Test (Best Model) - Loss: 1.5949 - Accuracy: 0.2524 - F1: 0.2245
sub_4:Test (Best Model) - Loss: 1.5985 - Accuracy: 0.2524 - F1: 0.2396
sub_4:Test (Best Model) - Loss: 1.5870 - Accuracy: 0.3000 - F1: 0.2499
sub_4:Test (Best Model) - Loss: 1.5918 - Accuracy: 0.2333 - F1: 0.1724
sub_4:Test (Best Model) - Loss: 1.5854 - Accuracy: 0.2857 - F1: 0.2407
sub_4:Test (Best Model) - Loss: 1.6019 - Accuracy: 0.2381 - F1: 0.2221
sub_4:Test (Best Model) - Loss: 1.5638 - Accuracy: 0.3048 - F1: 0.2957
sub_4:Test (Best Model) - Loss: 1.4983 - Accuracy: 0.3762 - F1: 0.3303
sub_4:Test (Best Model) - Loss: 1.5611 - Accuracy: 0.3000 - F1: 0.2904
sub_4:Test (Best Model) - Loss: 1.5954 - Accuracy: 0.2286 - F1: 0.1890
sub_4:Test (Best Model) - Loss: 1.5941 - Accuracy: 0.2524 - F1: 0.2239
sub_4:Test (Best Model) - Loss: 1.6170 - Accuracy: 0.2238 - F1: 0.1655
sub_4:Test (Best Model) - Loss: 1.6070 - Accuracy: 0.2333 - F1: 0.2108
sub_4:Test (Best Model) - Loss: 1.6271 - Accuracy: 0.2429 - F1: 0.2132
sub_4:Test (Best Model) - Loss: 1.6067 - Accuracy: 0.1952 - F1: 0.1482
sub_5:Test (Best Model) - Loss: 1.6045 - Accuracy: 0.2238 - F1: 0.1912
sub_5:Test (Best Model) - Loss: 1.6166 - Accuracy: 0.2048 - F1: 0.1712
sub_5:Test (Best Model) - Loss: 1.6246 - Accuracy: 0.1810 - F1: 0.1247
sub_5:Test (Best Model) - Loss: 1.6241 - Accuracy: 0.2048 - F1: 0.1791
sub_5:Test (Best Model) - Loss: 1.6270 - Accuracy: 0.2190 - F1: 0.1927
sub_5:Test (Best Model) - Loss: 1.5945 - Accuracy: 0.2524 - F1: 0.2211
sub_5:Test (Best Model) - Loss: 1.5995 - Accuracy: 0.2190 - F1: 0.2134
sub_5:Test (Best Model) - Loss: 1.5997 - Accuracy: 0.2381 - F1: 0.2063
sub_5:Test (Best Model) - Loss: 1.5879 - Accuracy: 0.2238 - F1: 0.2054
sub_5:Test (Best Model) - Loss: 1.6003 - Accuracy: 0.2095 - F1: 0.1937
sub_5:Test (Best Model) - Loss: 1.5596 - Accuracy: 0.2905 - F1: 0.2705
sub_5:Test (Best Model) - Loss: 1.5405 - Accuracy: 0.2619 - F1: 0.2378
sub_5:Test (Best Model) - Loss: 1.5688 - Accuracy: 0.2143 - F1: 0.2097
sub_5:Test (Best Model) - Loss: 1.5453 - Accuracy: 0.2905 - F1: 0.2318
sub_5:Test (Best Model) - Loss: 1.5709 - Accuracy: 0.2810 - F1: 0.2720
sub_6:Test (Best Model) - Loss: 1.5423 - Accuracy: 0.3381 - F1: 0.3374
sub_6:Test (Best Model) - Loss: 1.6026 - Accuracy: 0.2095 - F1: 0.1754
sub_6:Test (Best Model) - Loss: 1.5956 - Accuracy: 0.2619 - F1: 0.2437
sub_6:Test (Best Model) - Loss: 1.5558 - Accuracy: 0.2810 - F1: 0.2807
sub_6:Test (Best Model) - Loss: 1.5820 - Accuracy: 0.2857 - F1: 0.2769
sub_6:Test (Best Model) - Loss: 1.5415 - Accuracy: 0.2667 - F1: 0.2052
sub_6:Test (Best Model) - Loss: 1.5641 - Accuracy: 0.2667 - F1: 0.2158
sub_6:Test (Best Model) - Loss: 1.5613 - Accuracy: 0.2524 - F1: 0.1876
sub_6:Test (Best Model) - Loss: 1.5461 - Accuracy: 0.2714 - F1: 0.2278
sub_6:Test (Best Model) - Loss: 1.5849 - Accuracy: 0.2810 - F1: 0.2400
sub_6:Test (Best Model) - Loss: 1.5934 - Accuracy: 0.2333 - F1: 0.2224
sub_6:Test (Best Model) - Loss: 1.5671 - Accuracy: 0.3048 - F1: 0.2929
sub_6:Test (Best Model) - Loss: 1.5909 - Accuracy: 0.2381 - F1: 0.2280
sub_6:Test (Best Model) - Loss: 1.5835 - Accuracy: 0.3048 - F1: 0.2723
sub_6:Test (Best Model) - Loss: 1.5935 - Accuracy: 0.2714 - F1: 0.2420
sub_7:Test (Best Model) - Loss: 1.9658 - Accuracy: 0.1190 - F1: 0.1072
sub_7:Test (Best Model) - Loss: 1.8616 - Accuracy: 0.1476 - F1: 0.1312
sub_7:Test (Best Model) - Loss: 1.8922 - Accuracy: 0.2048 - F1: 0.1025
sub_7:Test (Best Model) - Loss: 2.0043 - Accuracy: 0.1429 - F1: 0.1143
sub_7:Test (Best Model) - Loss: 1.7225 - Accuracy: 0.1524 - F1: 0.1419
sub_7:Test (Best Model) - Loss: 1.6768 - Accuracy: 0.2333 - F1: 0.1952
sub_7:Test (Best Model) - Loss: 1.6703 - Accuracy: 0.1810 - F1: 0.1556
sub_7:Test (Best Model) - Loss: 1.6520 - Accuracy: 0.1714 - F1: 0.1177
sub_7:Test (Best Model) - Loss: 1.6498 - Accuracy: 0.2048 - F1: 0.1760
sub_7:Test (Best Model) - Loss: 1.7782 - Accuracy: 0.1524 - F1: 0.1387
sub_7:Test (Best Model) - Loss: 1.6220 - Accuracy: 0.2476 - F1: 0.1958
sub_7:Test (Best Model) - Loss: 1.6314 - Accuracy: 0.2476 - F1: 0.1937
sub_7:Test (Best Model) - Loss: 1.6256 - Accuracy: 0.2095 - F1: 0.1811
sub_7:Test (Best Model) - Loss: 1.5915 - Accuracy: 0.2571 - F1: 0.2402
sub_7:Test (Best Model) - Loss: 1.6606 - Accuracy: 0.1714 - F1: 0.1623
sub_8:Test (Best Model) - Loss: 1.5677 - Accuracy: 0.2810 - F1: 0.1984
sub_8:Test (Best Model) - Loss: 1.6445 - Accuracy: 0.2381 - F1: 0.1681
sub_8:Test (Best Model) - Loss: 1.5831 - Accuracy: 0.2524 - F1: 0.1687
sub_8:Test (Best Model) - Loss: 1.5735 - Accuracy: 0.2714 - F1: 0.1907
sub_8:Test (Best Model) - Loss: 1.5546 - Accuracy: 0.2714 - F1: 0.1883
sub_8:Test (Best Model) - Loss: 1.6056 - Accuracy: 0.2571 - F1: 0.2379
sub_8:Test (Best Model) - Loss: 1.6154 - Accuracy: 0.2762 - F1: 0.2544
sub_8:Test (Best Model) - Loss: 1.5915 - Accuracy: 0.2524 - F1: 0.1961
sub_8:Test (Best Model) - Loss: 1.5889 - Accuracy: 0.2667 - F1: 0.2323
sub_8:Test (Best Model) - Loss: 1.5777 - Accuracy: 0.2714 - F1: 0.2348
sub_8:Test (Best Model) - Loss: 1.5841 - Accuracy: 0.3095 - F1: 0.2774
sub_8:Test (Best Model) - Loss: 1.5603 - Accuracy: 0.2952 - F1: 0.2604
sub_8:Test (Best Model) - Loss: 1.5704 - Accuracy: 0.2810 - F1: 0.2263
sub_8:Test (Best Model) - Loss: 1.5589 - Accuracy: 0.3286 - F1: 0.2982
sub_8:Test (Best Model) - Loss: 1.5641 - Accuracy: 0.3048 - F1: 0.2613
sub_9:Test (Best Model) - Loss: 1.6120 - Accuracy: 0.2048 - F1: 0.1216
sub_9:Test (Best Model) - Loss: 1.6112 - Accuracy: 0.2333 - F1: 0.1335
sub_9:Test (Best Model) - Loss: 1.6064 - Accuracy: 0.2095 - F1: 0.1180
sub_9:Test (Best Model) - Loss: 1.6143 - Accuracy: 0.2143 - F1: 0.1235
sub_9:Test (Best Model) - Loss: 1.6069 - Accuracy: 0.2000 - F1: 0.1428
sub_9:Test (Best Model) - Loss: 1.6385 - Accuracy: 0.1667 - F1: 0.1335
sub_9:Test (Best Model) - Loss: 1.6160 - Accuracy: 0.2429 - F1: 0.2228
sub_9:Test (Best Model) - Loss: 1.6236 - Accuracy: 0.1905 - F1: 0.1552
sub_9:Test (Best Model) - Loss: 1.6908 - Accuracy: 0.2333 - F1: 0.2168
sub_9:Test (Best Model) - Loss: 1.6743 - Accuracy: 0.1952 - F1: 0.1191
sub_9:Test (Best Model) - Loss: 1.6101 - Accuracy: 0.1952 - F1: 0.1621
sub_9:Test (Best Model) - Loss: 1.6278 - Accuracy: 0.1905 - F1: 0.1860
sub_9:Test (Best Model) - Loss: 1.6251 - Accuracy: 0.2095 - F1: 0.1705
sub_9:Test (Best Model) - Loss: 1.5997 - Accuracy: 0.2381 - F1: 0.2236
sub_9:Test (Best Model) - Loss: 1.6046 - Accuracy: 0.2524 - F1: 0.1878
sub_10:Test (Best Model) - Loss: 1.6043 - Accuracy: 0.2143 - F1: 0.1893
sub_10:Test (Best Model) - Loss: 1.6107 - Accuracy: 0.2429 - F1: 0.2208
sub_10:Test (Best Model) - Loss: 1.6210 - Accuracy: 0.2048 - F1: 0.1806
sub_10:Test (Best Model) - Loss: 1.6211 - Accuracy: 0.2381 - F1: 0.2353
sub_10:Test (Best Model) - Loss: 1.6201 - Accuracy: 0.2286 - F1: 0.2315
sub_10:Test (Best Model) - Loss: 1.5881 - Accuracy: 0.3143 - F1: 0.2595
sub_10:Test (Best Model) - Loss: 1.5442 - Accuracy: 0.3143 - F1: 0.2342
sub_10:Test (Best Model) - Loss: 1.6105 - Accuracy: 0.1857 - F1: 0.0987
sub_10:Test (Best Model) - Loss: 1.5927 - Accuracy: 0.2857 - F1: 0.1981
sub_10:Test (Best Model) - Loss: 1.5977 - Accuracy: 0.2571 - F1: 0.1380
sub_10:Test (Best Model) - Loss: 1.5973 - Accuracy: 0.2429 - F1: 0.1905
sub_10:Test (Best Model) - Loss: 1.6102 - Accuracy: 0.2238 - F1: 0.1663
sub_10:Test (Best Model) - Loss: 1.6323 - Accuracy: 0.2286 - F1: 0.2069
sub_10:Test (Best Model) - Loss: 1.6036 - Accuracy: 0.1810 - F1: 0.1532
sub_10:Test (Best Model) - Loss: 1.6147 - Accuracy: 0.2238 - F1: 0.2012
sub_11:Test (Best Model) - Loss: 1.5624 - Accuracy: 0.2952 - F1: 0.2715
sub_11:Test (Best Model) - Loss: 1.5686 - Accuracy: 0.2524 - F1: 0.1553
sub_11:Test (Best Model) - Loss: 1.5509 - Accuracy: 0.3000 - F1: 0.2517
sub_11:Test (Best Model) - Loss: 1.5738 - Accuracy: 0.2857 - F1: 0.2415
sub_11:Test (Best Model) - Loss: 1.5826 - Accuracy: 0.2619 - F1: 0.2255
sub_11:Test (Best Model) - Loss: 1.6681 - Accuracy: 0.2095 - F1: 0.1854
sub_11:Test (Best Model) - Loss: 1.6295 - Accuracy: 0.2286 - F1: 0.2063
sub_11:Test (Best Model) - Loss: 1.6485 - Accuracy: 0.1810 - F1: 0.1414
sub_11:Test (Best Model) - Loss: 1.6436 - Accuracy: 0.2143 - F1: 0.2060
sub_11:Test (Best Model) - Loss: 1.6637 - Accuracy: 0.2238 - F1: 0.2165
sub_11:Test (Best Model) - Loss: 1.6816 - Accuracy: 0.2857 - F1: 0.2672
sub_11:Test (Best Model) - Loss: 1.7158 - Accuracy: 0.2524 - F1: 0.2097
sub_11:Test (Best Model) - Loss: 1.6608 - Accuracy: 0.2524 - F1: 0.1867
sub_11:Test (Best Model) - Loss: 1.7530 - Accuracy: 0.2524 - F1: 0.2410
sub_11:Test (Best Model) - Loss: 1.7402 - Accuracy: 0.2476 - F1: 0.1942
sub_12:Test (Best Model) - Loss: 1.6085 - Accuracy: 0.1952 - F1: 0.1255
sub_12:Test (Best Model) - Loss: 1.6255 - Accuracy: 0.2048 - F1: 0.1101
sub_12:Test (Best Model) - Loss: 1.6349 - Accuracy: 0.1905 - F1: 0.1314
sub_12:Test (Best Model) - Loss: 1.6161 - Accuracy: 0.2286 - F1: 0.1574
sub_12:Test (Best Model) - Loss: 1.6228 - Accuracy: 0.2619 - F1: 0.2263
sub_12:Test (Best Model) - Loss: 1.6328 - Accuracy: 0.2857 - F1: 0.2803
sub_12:Test (Best Model) - Loss: 1.6594 - Accuracy: 0.2429 - F1: 0.2372
sub_12:Test (Best Model) - Loss: 1.6687 - Accuracy: 0.2286 - F1: 0.2228
sub_12:Test (Best Model) - Loss: 1.6756 - Accuracy: 0.2286 - F1: 0.2029
sub_12:Test (Best Model) - Loss: 1.7112 - Accuracy: 0.2095 - F1: 0.1833
sub_12:Test (Best Model) - Loss: 1.6519 - Accuracy: 0.1810 - F1: 0.1184
sub_12:Test (Best Model) - Loss: 1.6955 - Accuracy: 0.1619 - F1: 0.1316
sub_12:Test (Best Model) - Loss: 1.6744 - Accuracy: 0.1810 - F1: 0.1461
sub_12:Test (Best Model) - Loss: 1.6927 - Accuracy: 0.2095 - F1: 0.1640
sub_12:Test (Best Model) - Loss: 1.6672 - Accuracy: 0.1857 - F1: 0.1447
sub_13:Test (Best Model) - Loss: 1.5665 - Accuracy: 0.2571 - F1: 0.2423
sub_13:Test (Best Model) - Loss: 1.5829 - Accuracy: 0.2619 - F1: 0.2238
sub_13:Test (Best Model) - Loss: 1.5763 - Accuracy: 0.2524 - F1: 0.2018
sub_13:Test (Best Model) - Loss: 1.5842 - Accuracy: 0.2619 - F1: 0.2427
sub_13:Test (Best Model) - Loss: 1.5827 - Accuracy: 0.2429 - F1: 0.2333
sub_13:Test (Best Model) - Loss: 1.5684 - Accuracy: 0.3000 - F1: 0.2604
sub_13:Test (Best Model) - Loss: 1.5748 - Accuracy: 0.2952 - F1: 0.2734
sub_13:Test (Best Model) - Loss: 1.5477 - Accuracy: 0.2714 - F1: 0.2265
sub_13:Test (Best Model) - Loss: 1.5795 - Accuracy: 0.2857 - F1: 0.2297
sub_13:Test (Best Model) - Loss: 1.5790 - Accuracy: 0.2429 - F1: 0.1994
sub_13:Test (Best Model) - Loss: 1.5530 - Accuracy: 0.2714 - F1: 0.1828
sub_13:Test (Best Model) - Loss: 1.5876 - Accuracy: 0.2714 - F1: 0.1961
sub_13:Test (Best Model) - Loss: 1.5804 - Accuracy: 0.2762 - F1: 0.1882
sub_13:Test (Best Model) - Loss: 1.5766 - Accuracy: 0.3190 - F1: 0.2758
sub_13:Test (Best Model) - Loss: 1.5954 - Accuracy: 0.2524 - F1: 0.1729
sub_14:Test (Best Model) - Loss: 1.6122 - Accuracy: 0.2476 - F1: 0.2259
sub_14:Test (Best Model) - Loss: 1.6054 - Accuracy: 0.2714 - F1: 0.2408
sub_14:Test (Best Model) - Loss: 1.6026 - Accuracy: 0.1952 - F1: 0.1606
sub_14:Test (Best Model) - Loss: 1.5891 - Accuracy: 0.3190 - F1: 0.3000
sub_14:Test (Best Model) - Loss: 1.6130 - Accuracy: 0.2810 - F1: 0.2530
sub_14:Test (Best Model) - Loss: 1.5896 - Accuracy: 0.2524 - F1: 0.2228
sub_14:Test (Best Model) - Loss: 1.5800 - Accuracy: 0.2143 - F1: 0.1858
sub_14:Test (Best Model) - Loss: 1.5802 - Accuracy: 0.2667 - F1: 0.2149
sub_14:Test (Best Model) - Loss: 1.5869 - Accuracy: 0.2571 - F1: 0.2139
sub_14:Test (Best Model) - Loss: 1.5805 - Accuracy: 0.2619 - F1: 0.2267
sub_14:Test (Best Model) - Loss: 1.6262 - Accuracy: 0.1905 - F1: 0.1825
sub_14:Test (Best Model) - Loss: 1.6622 - Accuracy: 0.2333 - F1: 0.1751
sub_14:Test (Best Model) - Loss: 1.6318 - Accuracy: 0.2143 - F1: 0.1724
sub_14:Test (Best Model) - Loss: 1.6270 - Accuracy: 0.2333 - F1: 0.1978
sub_14:Test (Best Model) - Loss: 1.6099 - Accuracy: 0.2095 - F1: 0.1774

=== Summary Results ===

acc: 24.57 ± 3.81
F1: 20.36 ± 3.80
acc-in: 30.36 ± 3.48
F1-in: 24.02 ± 3.85
