lr: 1e-05
sub_1:Test (Best Model) - Loss: 1.5961 - Accuracy: 0.2429 - F1: 0.2350
sub_1:Test (Best Model) - Loss: 1.5915 - Accuracy: 0.2905 - F1: 0.2869
sub_1:Test (Best Model) - Loss: 1.5895 - Accuracy: 0.2619 - F1: 0.2529
sub_1:Test (Best Model) - Loss: 1.5755 - Accuracy: 0.2762 - F1: 0.2689
sub_1:Test (Best Model) - Loss: 1.5969 - Accuracy: 0.2714 - F1: 0.2656
sub_1:Test (Best Model) - Loss: 1.5908 - Accuracy: 0.2762 - F1: 0.2687
sub_1:Test (Best Model) - Loss: 1.6080 - Accuracy: 0.2476 - F1: 0.2404
sub_1:Test (Best Model) - Loss: 1.5554 - Accuracy: 0.2857 - F1: 0.2892
sub_1:Test (Best Model) - Loss: 1.5779 - Accuracy: 0.2905 - F1: 0.2920
sub_1:Test (Best Model) - Loss: 1.6094 - Accuracy: 0.2190 - F1: 0.2271
sub_1:Test (Best Model) - Loss: 1.5494 - Accuracy: 0.2714 - F1: 0.2704
sub_1:Test (Best Model) - Loss: 1.5493 - Accuracy: 0.3000 - F1: 0.2803
sub_1:Test (Best Model) - Loss: 1.5780 - Accuracy: 0.2857 - F1: 0.2713
sub_1:Test (Best Model) - Loss: 1.5679 - Accuracy: 0.2762 - F1: 0.2653
sub_1:Test (Best Model) - Loss: 1.5549 - Accuracy: 0.2714 - F1: 0.2651
sub_2:Test (Best Model) - Loss: 1.5991 - Accuracy: 0.2524 - F1: 0.2458
sub_2:Test (Best Model) - Loss: 1.5845 - Accuracy: 0.2429 - F1: 0.2264
sub_2:Test (Best Model) - Loss: 1.6030 - Accuracy: 0.2048 - F1: 0.1963
sub_2:Test (Best Model) - Loss: 1.6047 - Accuracy: 0.1810 - F1: 0.1783
sub_2:Test (Best Model) - Loss: 1.5914 - Accuracy: 0.2190 - F1: 0.2070
sub_2:Test (Best Model) - Loss: 1.6130 - Accuracy: 0.2286 - F1: 0.2184
sub_2:Test (Best Model) - Loss: 1.6219 - Accuracy: 0.1762 - F1: 0.1808
sub_2:Test (Best Model) - Loss: 1.5925 - Accuracy: 0.2238 - F1: 0.2163
sub_2:Test (Best Model) - Loss: 1.6020 - Accuracy: 0.2095 - F1: 0.2037
sub_2:Test (Best Model) - Loss: 1.5989 - Accuracy: 0.2238 - F1: 0.2192
sub_2:Test (Best Model) - Loss: 1.5983 - Accuracy: 0.2048 - F1: 0.1997
sub_2:Test (Best Model) - Loss: 1.6074 - Accuracy: 0.2095 - F1: 0.2103
sub_2:Test (Best Model) - Loss: 1.6047 - Accuracy: 0.2286 - F1: 0.2266
sub_2:Test (Best Model) - Loss: 1.6183 - Accuracy: 0.2000 - F1: 0.2002
sub_2:Test (Best Model) - Loss: 1.6291 - Accuracy: 0.2000 - F1: 0.1965
sub_3:Test (Best Model) - Loss: 1.5955 - Accuracy: 0.2571 - F1: 0.2288
sub_3:Test (Best Model) - Loss: 1.6065 - Accuracy: 0.2571 - F1: 0.2315
sub_3:Test (Best Model) - Loss: 1.5861 - Accuracy: 0.3238 - F1: 0.3073
sub_3:Test (Best Model) - Loss: 1.5994 - Accuracy: 0.2667 - F1: 0.2257
sub_3:Test (Best Model) - Loss: 1.5926 - Accuracy: 0.2571 - F1: 0.2357
sub_3:Test (Best Model) - Loss: 1.5870 - Accuracy: 0.2524 - F1: 0.2508
sub_3:Test (Best Model) - Loss: 1.6064 - Accuracy: 0.2238 - F1: 0.2092
sub_3:Test (Best Model) - Loss: 1.5847 - Accuracy: 0.2905 - F1: 0.2810
sub_3:Test (Best Model) - Loss: 1.6119 - Accuracy: 0.2333 - F1: 0.2319
sub_3:Test (Best Model) - Loss: 1.5903 - Accuracy: 0.2238 - F1: 0.2176
sub_3:Test (Best Model) - Loss: 1.5793 - Accuracy: 0.2619 - F1: 0.2679
sub_3:Test (Best Model) - Loss: 1.5904 - Accuracy: 0.2476 - F1: 0.2486
sub_3:Test (Best Model) - Loss: 1.6220 - Accuracy: 0.2476 - F1: 0.2470
sub_3:Test (Best Model) - Loss: 1.6107 - Accuracy: 0.2667 - F1: 0.2673
sub_3:Test (Best Model) - Loss: 1.5888 - Accuracy: 0.2714 - F1: 0.2777
sub_4:Test (Best Model) - Loss: 1.6197 - Accuracy: 0.2190 - F1: 0.2165
sub_4:Test (Best Model) - Loss: 1.6485 - Accuracy: 0.1857 - F1: 0.1831
sub_4:Test (Best Model) - Loss: 1.6698 - Accuracy: 0.1905 - F1: 0.1867
sub_4:Test (Best Model) - Loss: 1.6689 - Accuracy: 0.1714 - F1: 0.1712
sub_4:Test (Best Model) - Loss: 1.6306 - Accuracy: 0.1667 - F1: 0.1584
sub_4:Test (Best Model) - Loss: 1.6224 - Accuracy: 0.2381 - F1: 0.2405
sub_4:Test (Best Model) - Loss: 1.6389 - Accuracy: 0.2381 - F1: 0.2355
sub_4:Test (Best Model) - Loss: 1.6395 - Accuracy: 0.2333 - F1: 0.2304
sub_4:Test (Best Model) - Loss: 1.6265 - Accuracy: 0.1905 - F1: 0.1837
sub_4:Test (Best Model) - Loss: 1.6335 - Accuracy: 0.2571 - F1: 0.2590
sub_4:Test (Best Model) - Loss: 1.6221 - Accuracy: 0.2238 - F1: 0.2250
sub_4:Test (Best Model) - Loss: 1.6181 - Accuracy: 0.2476 - F1: 0.2499
sub_4:Test (Best Model) - Loss: 1.6108 - Accuracy: 0.2238 - F1: 0.2208
sub_4:Test (Best Model) - Loss: 1.6445 - Accuracy: 0.2095 - F1: 0.2059
sub_4:Test (Best Model) - Loss: 1.6127 - Accuracy: 0.2333 - F1: 0.2348
sub_5:Test (Best Model) - Loss: 1.6213 - Accuracy: 0.2810 - F1: 0.2888
sub_5:Test (Best Model) - Loss: 1.6107 - Accuracy: 0.2286 - F1: 0.2292
sub_5:Test (Best Model) - Loss: 1.5789 - Accuracy: 0.2714 - F1: 0.2714
sub_5:Test (Best Model) - Loss: 1.5883 - Accuracy: 0.2286 - F1: 0.2270
sub_5:Test (Best Model) - Loss: 1.6146 - Accuracy: 0.2286 - F1: 0.2251
sub_5:Test (Best Model) - Loss: 1.6035 - Accuracy: 0.2524 - F1: 0.2417
sub_5:Test (Best Model) - Loss: 1.6549 - Accuracy: 0.2143 - F1: 0.2028
sub_5:Test (Best Model) - Loss: 1.6029 - Accuracy: 0.2714 - F1: 0.2594
sub_5:Test (Best Model) - Loss: 1.6078 - Accuracy: 0.2905 - F1: 0.2764
sub_5:Test (Best Model) - Loss: 1.6301 - Accuracy: 0.2619 - F1: 0.2495
sub_5:Test (Best Model) - Loss: 1.5912 - Accuracy: 0.2429 - F1: 0.2359
sub_5:Test (Best Model) - Loss: 1.6075 - Accuracy: 0.2381 - F1: 0.2409
sub_5:Test (Best Model) - Loss: 1.6489 - Accuracy: 0.2143 - F1: 0.2100
sub_5:Test (Best Model) - Loss: 1.6284 - Accuracy: 0.2286 - F1: 0.2147
sub_5:Test (Best Model) - Loss: 1.6288 - Accuracy: 0.2000 - F1: 0.1998
sub_6:Test (Best Model) - Loss: 1.6180 - Accuracy: 0.2238 - F1: 0.2157
sub_6:Test (Best Model) - Loss: 1.6229 - Accuracy: 0.2286 - F1: 0.2224
sub_6:Test (Best Model) - Loss: 1.6547 - Accuracy: 0.1810 - F1: 0.1815
sub_6:Test (Best Model) - Loss: 1.6414 - Accuracy: 0.2143 - F1: 0.2100
sub_6:Test (Best Model) - Loss: 1.6055 - Accuracy: 0.2238 - F1: 0.2179
sub_6:Test (Best Model) - Loss: 1.6725 - Accuracy: 0.2286 - F1: 0.2292
sub_6:Test (Best Model) - Loss: 1.6602 - Accuracy: 0.2000 - F1: 0.2033
sub_6:Test (Best Model) - Loss: 1.6485 - Accuracy: 0.2095 - F1: 0.2095
sub_6:Test (Best Model) - Loss: 1.6251 - Accuracy: 0.2048 - F1: 0.2048
sub_6:Test (Best Model) - Loss: 1.6072 - Accuracy: 0.2429 - F1: 0.2448
sub_6:Test (Best Model) - Loss: 1.6535 - Accuracy: 0.2286 - F1: 0.2265
sub_6:Test (Best Model) - Loss: 1.6504 - Accuracy: 0.1810 - F1: 0.1751
sub_6:Test (Best Model) - Loss: 1.6333 - Accuracy: 0.2190 - F1: 0.2174
sub_6:Test (Best Model) - Loss: 1.6580 - Accuracy: 0.1667 - F1: 0.1649
sub_6:Test (Best Model) - Loss: 1.6656 - Accuracy: 0.2333 - F1: 0.2267
sub_7:Test (Best Model) - Loss: 1.6682 - Accuracy: 0.1857 - F1: 0.1757
sub_7:Test (Best Model) - Loss: 1.6521 - Accuracy: 0.1857 - F1: 0.1730
sub_7:Test (Best Model) - Loss: 1.6602 - Accuracy: 0.2286 - F1: 0.2172
sub_7:Test (Best Model) - Loss: 1.6547 - Accuracy: 0.1952 - F1: 0.1919
sub_7:Test (Best Model) - Loss: 1.6325 - Accuracy: 0.1952 - F1: 0.1898
sub_7:Test (Best Model) - Loss: 1.6635 - Accuracy: 0.1952 - F1: 0.1911
sub_7:Test (Best Model) - Loss: 1.6413 - Accuracy: 0.1905 - F1: 0.1869
sub_7:Test (Best Model) - Loss: 1.6364 - Accuracy: 0.1952 - F1: 0.1926
sub_7:Test (Best Model) - Loss: 1.6405 - Accuracy: 0.2143 - F1: 0.2087
sub_7:Test (Best Model) - Loss: 1.6334 - Accuracy: 0.2095 - F1: 0.2013
sub_7:Test (Best Model) - Loss: 1.6012 - Accuracy: 0.2810 - F1: 0.2754
sub_7:Test (Best Model) - Loss: 1.6075 - Accuracy: 0.2238 - F1: 0.2250
sub_7:Test (Best Model) - Loss: 1.6193 - Accuracy: 0.2143 - F1: 0.2134
sub_7:Test (Best Model) - Loss: 1.6129 - Accuracy: 0.2286 - F1: 0.2251
sub_7:Test (Best Model) - Loss: 1.6164 - Accuracy: 0.2238 - F1: 0.2258
sub_8:Test (Best Model) - Loss: 1.5629 - Accuracy: 0.3048 - F1: 0.3076
sub_8:Test (Best Model) - Loss: 1.5506 - Accuracy: 0.3333 - F1: 0.3401
sub_8:Test (Best Model) - Loss: 1.5690 - Accuracy: 0.2905 - F1: 0.2931
sub_8:Test (Best Model) - Loss: 1.5756 - Accuracy: 0.2762 - F1: 0.2779
sub_8:Test (Best Model) - Loss: 1.5666 - Accuracy: 0.2905 - F1: 0.2883
sub_8:Test (Best Model) - Loss: 1.5671 - Accuracy: 0.2619 - F1: 0.2587
sub_8:Test (Best Model) - Loss: 1.5960 - Accuracy: 0.2714 - F1: 0.2855
sub_8:Test (Best Model) - Loss: 1.5657 - Accuracy: 0.2810 - F1: 0.2881
sub_8:Test (Best Model) - Loss: 1.5662 - Accuracy: 0.2714 - F1: 0.2827
sub_8:Test (Best Model) - Loss: 1.5684 - Accuracy: 0.2667 - F1: 0.2750
sub_8:Test (Best Model) - Loss: 1.6056 - Accuracy: 0.2429 - F1: 0.2434
sub_8:Test (Best Model) - Loss: 1.6311 - Accuracy: 0.2143 - F1: 0.2205
sub_8:Test (Best Model) - Loss: 1.6100 - Accuracy: 0.2190 - F1: 0.2031
sub_8:Test (Best Model) - Loss: 1.6190 - Accuracy: 0.2286 - F1: 0.2251
sub_8:Test (Best Model) - Loss: 1.6423 - Accuracy: 0.2190 - F1: 0.2151
sub_9:Test (Best Model) - Loss: 1.6048 - Accuracy: 0.2381 - F1: 0.2349
sub_9:Test (Best Model) - Loss: 1.6053 - Accuracy: 0.2286 - F1: 0.2300
sub_9:Test (Best Model) - Loss: 1.5803 - Accuracy: 0.3048 - F1: 0.3081
sub_9:Test (Best Model) - Loss: 1.5871 - Accuracy: 0.2429 - F1: 0.2408
sub_9:Test (Best Model) - Loss: 1.5985 - Accuracy: 0.2286 - F1: 0.2303
sub_9:Test (Best Model) - Loss: 1.6437 - Accuracy: 0.1905 - F1: 0.1910
sub_9:Test (Best Model) - Loss: 1.6403 - Accuracy: 0.2095 - F1: 0.2087
sub_9:Test (Best Model) - Loss: 1.6625 - Accuracy: 0.2190 - F1: 0.2115
sub_9:Test (Best Model) - Loss: 1.6902 - Accuracy: 0.2048 - F1: 0.2023
sub_9:Test (Best Model) - Loss: 1.6403 - Accuracy: 0.2000 - F1: 0.2020
sub_9:Test (Best Model) - Loss: 1.6662 - Accuracy: 0.1905 - F1: 0.1849
sub_9:Test (Best Model) - Loss: 1.6178 - Accuracy: 0.2190 - F1: 0.2152
sub_9:Test (Best Model) - Loss: 1.6434 - Accuracy: 0.2190 - F1: 0.2116
sub_9:Test (Best Model) - Loss: 1.6567 - Accuracy: 0.2095 - F1: 0.2081
sub_9:Test (Best Model) - Loss: 1.6197 - Accuracy: 0.2714 - F1: 0.2609
sub_10:Test (Best Model) - Loss: 1.6651 - Accuracy: 0.2238 - F1: 0.2148
sub_10:Test (Best Model) - Loss: 1.6326 - Accuracy: 0.2619 - F1: 0.2531
sub_10:Test (Best Model) - Loss: 1.6604 - Accuracy: 0.2333 - F1: 0.2298
sub_10:Test (Best Model) - Loss: 1.6446 - Accuracy: 0.2143 - F1: 0.2123
sub_10:Test (Best Model) - Loss: 1.6475 - Accuracy: 0.2381 - F1: 0.2339
sub_10:Test (Best Model) - Loss: 1.6177 - Accuracy: 0.2238 - F1: 0.2254
sub_10:Test (Best Model) - Loss: 1.6133 - Accuracy: 0.2381 - F1: 0.2322
sub_10:Test (Best Model) - Loss: 1.6116 - Accuracy: 0.2143 - F1: 0.2114
sub_10:Test (Best Model) - Loss: 1.5903 - Accuracy: 0.2476 - F1: 0.2487
sub_10:Test (Best Model) - Loss: 1.6122 - Accuracy: 0.2190 - F1: 0.2194
sub_10:Test (Best Model) - Loss: 1.6501 - Accuracy: 0.2000 - F1: 0.2011
sub_10:Test (Best Model) - Loss: 1.6405 - Accuracy: 0.2143 - F1: 0.2138
sub_10:Test (Best Model) - Loss: 1.6377 - Accuracy: 0.2190 - F1: 0.2192
sub_10:Test (Best Model) - Loss: 1.6327 - Accuracy: 0.2048 - F1: 0.1973
sub_10:Test (Best Model) - Loss: 1.6604 - Accuracy: 0.1905 - F1: 0.1892
sub_11:Test (Best Model) - Loss: 1.6601 - Accuracy: 0.1952 - F1: 0.1905
sub_11:Test (Best Model) - Loss: 1.6837 - Accuracy: 0.1571 - F1: 0.1580
sub_11:Test (Best Model) - Loss: 1.6707 - Accuracy: 0.1810 - F1: 0.1800
sub_11:Test (Best Model) - Loss: 1.6578 - Accuracy: 0.1857 - F1: 0.1843
sub_11:Test (Best Model) - Loss: 1.6606 - Accuracy: 0.1571 - F1: 0.1569
sub_11:Test (Best Model) - Loss: 1.6098 - Accuracy: 0.2429 - F1: 0.2424
sub_11:Test (Best Model) - Loss: 1.6127 - Accuracy: 0.2286 - F1: 0.2258
sub_11:Test (Best Model) - Loss: 1.5933 - Accuracy: 0.2333 - F1: 0.2301
sub_11:Test (Best Model) - Loss: 1.6094 - Accuracy: 0.2429 - F1: 0.2409
sub_11:Test (Best Model) - Loss: 1.6197 - Accuracy: 0.2524 - F1: 0.2484
sub_11:Test (Best Model) - Loss: 1.6339 - Accuracy: 0.2048 - F1: 0.2006
sub_11:Test (Best Model) - Loss: 1.6157 - Accuracy: 0.2333 - F1: 0.2308
sub_11:Test (Best Model) - Loss: 1.6358 - Accuracy: 0.2286 - F1: 0.2265
sub_11:Test (Best Model) - Loss: 1.6476 - Accuracy: 0.2190 - F1: 0.2159
sub_11:Test (Best Model) - Loss: 1.6439 - Accuracy: 0.2048 - F1: 0.2037
sub_12:Test (Best Model) - Loss: 1.6175 - Accuracy: 0.1714 - F1: 0.1743
sub_12:Test (Best Model) - Loss: 1.6188 - Accuracy: 0.2143 - F1: 0.2104
sub_12:Test (Best Model) - Loss: 1.6012 - Accuracy: 0.2333 - F1: 0.2331
sub_12:Test (Best Model) - Loss: 1.5894 - Accuracy: 0.2571 - F1: 0.2563
sub_12:Test (Best Model) - Loss: 1.6012 - Accuracy: 0.2286 - F1: 0.2260
sub_12:Test (Best Model) - Loss: 1.5770 - Accuracy: 0.2857 - F1: 0.2694
sub_12:Test (Best Model) - Loss: 1.5863 - Accuracy: 0.2048 - F1: 0.1998
sub_12:Test (Best Model) - Loss: 1.6012 - Accuracy: 0.2476 - F1: 0.2433
sub_12:Test (Best Model) - Loss: 1.5968 - Accuracy: 0.2667 - F1: 0.2591
sub_12:Test (Best Model) - Loss: 1.5854 - Accuracy: 0.2714 - F1: 0.2565
sub_12:Test (Best Model) - Loss: 1.6570 - Accuracy: 0.1905 - F1: 0.1841
sub_12:Test (Best Model) - Loss: 1.6903 - Accuracy: 0.1810 - F1: 0.1791
sub_12:Test (Best Model) - Loss: 1.6590 - Accuracy: 0.2048 - F1: 0.2041
sub_12:Test (Best Model) - Loss: 1.6744 - Accuracy: 0.1810 - F1: 0.1795
sub_12:Test (Best Model) - Loss: 1.6567 - Accuracy: 0.2238 - F1: 0.2260
sub_13:Test (Best Model) - Loss: 1.6018 - Accuracy: 0.2190 - F1: 0.2205
sub_13:Test (Best Model) - Loss: 1.6041 - Accuracy: 0.2095 - F1: 0.2015
sub_13:Test (Best Model) - Loss: 1.6037 - Accuracy: 0.2333 - F1: 0.2294
sub_13:Test (Best Model) - Loss: 1.5848 - Accuracy: 0.2476 - F1: 0.2281
sub_13:Test (Best Model) - Loss: 1.6011 - Accuracy: 0.1857 - F1: 0.1849
sub_13:Test (Best Model) - Loss: 1.6224 - Accuracy: 0.2095 - F1: 0.2093
sub_13:Test (Best Model) - Loss: 1.6261 - Accuracy: 0.2333 - F1: 0.2332
sub_13:Test (Best Model) - Loss: 1.6210 - Accuracy: 0.2429 - F1: 0.2368
sub_13:Test (Best Model) - Loss: 1.5925 - Accuracy: 0.2000 - F1: 0.1989
sub_13:Test (Best Model) - Loss: 1.6087 - Accuracy: 0.2190 - F1: 0.2246
sub_13:Test (Best Model) - Loss: 1.6202 - Accuracy: 0.1857 - F1: 0.1832
sub_13:Test (Best Model) - Loss: 1.6074 - Accuracy: 0.2524 - F1: 0.2473
sub_13:Test (Best Model) - Loss: 1.6297 - Accuracy: 0.2095 - F1: 0.2140
sub_13:Test (Best Model) - Loss: 1.6129 - Accuracy: 0.1857 - F1: 0.1830
sub_13:Test (Best Model) - Loss: 1.6248 - Accuracy: 0.2286 - F1: 0.2261
sub_14:Test (Best Model) - Loss: 1.6831 - Accuracy: 0.2286 - F1: 0.2262
sub_14:Test (Best Model) - Loss: 1.6899 - Accuracy: 0.2190 - F1: 0.2165
sub_14:Test (Best Model) - Loss: 1.6680 - Accuracy: 0.2714 - F1: 0.2670
sub_14:Test (Best Model) - Loss: 1.6468 - Accuracy: 0.2286 - F1: 0.2244
sub_14:Test (Best Model) - Loss: 1.6852 - Accuracy: 0.2048 - F1: 0.1930
sub_14:Test (Best Model) - Loss: 1.5907 - Accuracy: 0.2714 - F1: 0.2668
sub_14:Test (Best Model) - Loss: 1.6194 - Accuracy: 0.2476 - F1: 0.2349
sub_14:Test (Best Model) - Loss: 1.6119 - Accuracy: 0.2381 - F1: 0.2310
sub_14:Test (Best Model) - Loss: 1.6150 - Accuracy: 0.2667 - F1: 0.2696
sub_14:Test (Best Model) - Loss: 1.6443 - Accuracy: 0.2048 - F1: 0.2030
sub_14:Test (Best Model) - Loss: 1.6099 - Accuracy: 0.2571 - F1: 0.2475
sub_14:Test (Best Model) - Loss: 1.6104 - Accuracy: 0.2048 - F1: 0.1922
sub_14:Test (Best Model) - Loss: 1.6270 - Accuracy: 0.2048 - F1: 0.1771
sub_14:Test (Best Model) - Loss: 1.6361 - Accuracy: 0.2143 - F1: 0.1968
sub_14:Test (Best Model) - Loss: 1.6313 - Accuracy: 0.1857 - F1: 0.1771

=== Summary Results ===

acc: 23.01 ± 2.01
F1: 22.61 ± 1.98
acc-in: 27.26 ± 1.95
F1-in: 26.50 ± 2.21
