lr: 0.001
sub_1:Test (Best Model) - Loss: 0.1834 - Accuracy: 0.5238 - F1: 0.3438
sub_1:Test (Best Model) - Loss: 0.1791 - Accuracy: 0.5238 - F1: 0.3438
sub_1:Test (Best Model) - Loss: 0.1826 - Accuracy: 0.4762 - F1: 0.3226
sub_1:Test (Best Model) - Loss: 0.1901 - Accuracy: 0.4762 - F1: 0.3226
sub_1:Test (Best Model) - Loss: 0.1793 - Accuracy: 0.4762 - F1: 0.3226
sub_1:Test (Best Model) - Loss: 0.1775 - Accuracy: 0.5238 - F1: 0.3438
sub_1:Test (Best Model) - Loss: 0.1879 - Accuracy: 0.5238 - F1: 0.3438
sub_1:Test (Best Model) - Loss: 0.1803 - Accuracy: 0.5238 - F1: 0.3438
sub_1:Test (Best Model) - Loss: 0.1949 - Accuracy: 0.4762 - F1: 0.3226
sub_1:Test (Best Model) - Loss: 0.1753 - Accuracy: 0.5238 - F1: 0.3438
sub_1:Test (Best Model) - Loss: 0.1764 - Accuracy: 0.5238 - F1: 0.3438
sub_1:Test (Best Model) - Loss: 0.1734 - Accuracy: 0.5238 - F1: 0.3438
sub_1:Test (Best Model) - Loss: 0.1850 - Accuracy: 0.4762 - F1: 0.3226
sub_1:Test (Best Model) - Loss: 0.2005 - Accuracy: 0.4762 - F1: 0.3226
sub_1:Test (Best Model) - Loss: 0.1763 - Accuracy: 0.5238 - F1: 0.3438
sub_2:Test (Best Model) - Loss: 0.1732 - Accuracy: 0.5238 - F1: 0.3438
sub_2:Test (Best Model) - Loss: 0.1916 - Accuracy: 0.5238 - F1: 0.3438
sub_2:Test (Best Model) - Loss: 0.1746 - Accuracy: 0.4762 - F1: 0.3226
sub_2:Test (Best Model) - Loss: 0.2330 - Accuracy: 0.4762 - F1: 0.3226
sub_2:Test (Best Model) - Loss: 0.1523 - Accuracy: 0.7619 - F1: 0.7407
sub_2:Test (Best Model) - Loss: 0.1861 - Accuracy: 0.5238 - F1: 0.3438
sub_2:Test (Best Model) - Loss: 0.1733 - Accuracy: 0.5238 - F1: 0.3438
sub_2:Test (Best Model) - Loss: 0.1902 - Accuracy: 0.5238 - F1: 0.3438
sub_2:Test (Best Model) - Loss: 0.1742 - Accuracy: 0.4762 - F1: 0.3226
sub_2:Test (Best Model) - Loss: 0.1796 - Accuracy: 0.4762 - F1: 0.3226
sub_2:Test (Best Model) - Loss: 0.2017 - Accuracy: 0.5238 - F1: 0.3438
sub_2:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.5238 - F1: 0.3438
sub_2:Test (Best Model) - Loss: 0.2520 - Accuracy: 0.4762 - F1: 0.3226
sub_2:Test (Best Model) - Loss: 0.2321 - Accuracy: 0.4762 - F1: 0.3226
sub_2:Test (Best Model) - Loss: 0.1732 - Accuracy: 0.5238 - F1: 0.3438
sub_3:Test (Best Model) - Loss: 0.1733 - Accuracy: 0.6190 - F1: 0.5714
sub_3:Test (Best Model) - Loss: 0.2293 - Accuracy: 0.5238 - F1: 0.3438
sub_3:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.5238 - F1: 0.3438
sub_3:Test (Best Model) - Loss: 0.2790 - Accuracy: 0.4762 - F1: 0.3226
sub_3:Test (Best Model) - Loss: 0.1947 - Accuracy: 0.5238 - F1: 0.3438
sub_3:Test (Best Model) - Loss: 0.1767 - Accuracy: 0.5238 - F1: 0.3438
sub_3:Test (Best Model) - Loss: 0.2266 - Accuracy: 0.5238 - F1: 0.3438
sub_3:Test (Best Model) - Loss: 0.1844 - Accuracy: 0.4762 - F1: 0.3226
sub_3:Test (Best Model) - Loss: 0.2037 - Accuracy: 0.4762 - F1: 0.3226
sub_3:Test (Best Model) - Loss: 0.2650 - Accuracy: 0.4762 - F1: 0.3226
sub_3:Test (Best Model) - Loss: 0.1722 - Accuracy: 0.5238 - F1: 0.3438
sub_3:Test (Best Model) - Loss: 0.2008 - Accuracy: 0.5238 - F1: 0.3438
sub_3:Test (Best Model) - Loss: 0.1902 - Accuracy: 0.4762 - F1: 0.3226
sub_3:Test (Best Model) - Loss: 0.1842 - Accuracy: 0.4762 - F1: 0.3226
sub_3:Test (Best Model) - Loss: 0.1751 - Accuracy: 0.4762 - F1: 0.3226
sub_4:Test (Best Model) - Loss: 0.1813 - Accuracy: 0.5238 - F1: 0.3438
sub_4:Test (Best Model) - Loss: 0.1732 - Accuracy: 0.5238 - F1: 0.3438
sub_4:Test (Best Model) - Loss: 0.1909 - Accuracy: 0.4762 - F1: 0.3226
sub_4:Test (Best Model) - Loss: 0.1774 - Accuracy: 0.5238 - F1: 0.3438
sub_4:Test (Best Model) - Loss: 0.1700 - Accuracy: 0.6667 - F1: 0.6101
sub_4:Test (Best Model) - Loss: 0.1775 - Accuracy: 0.5238 - F1: 0.3438
sub_4:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.5238 - F1: 0.3438
sub_4:Test (Best Model) - Loss: 0.1738 - Accuracy: 0.5238 - F1: 0.3438
sub_4:Test (Best Model) - Loss: 0.2565 - Accuracy: 0.4762 - F1: 0.3226
sub_4:Test (Best Model) - Loss: 0.1789 - Accuracy: 0.4762 - F1: 0.3226
sub_4:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.7619 - F1: 0.7597
sub_4:Test (Best Model) - Loss: 0.2074 - Accuracy: 0.5238 - F1: 0.3438
sub_4:Test (Best Model) - Loss: 0.2022 - Accuracy: 0.4762 - F1: 0.3226
sub_4:Test (Best Model) - Loss: 0.1462 - Accuracy: 0.6667 - F1: 0.6541
sub_4:Test (Best Model) - Loss: 0.2541 - Accuracy: 0.4762 - F1: 0.3226
sub_5:Test (Best Model) - Loss: 0.1760 - Accuracy: 0.5238 - F1: 0.3438
sub_5:Test (Best Model) - Loss: 0.2096 - Accuracy: 0.5238 - F1: 0.3438
sub_5:Test (Best Model) - Loss: 0.1900 - Accuracy: 0.5238 - F1: 0.3438
sub_5:Test (Best Model) - Loss: 0.2016 - Accuracy: 0.5238 - F1: 0.3438
sub_5:Test (Best Model) - Loss: 0.2333 - Accuracy: 0.5238 - F1: 0.3438
sub_5:Test (Best Model) - Loss: 0.1745 - Accuracy: 0.5238 - F1: 0.3438
sub_5:Test (Best Model) - Loss: 0.1746 - Accuracy: 0.5238 - F1: 0.3438
sub_5:Test (Best Model) - Loss: 0.1841 - Accuracy: 0.5238 - F1: 0.3438
sub_5:Test (Best Model) - Loss: 0.1732 - Accuracy: 0.5238 - F1: 0.3438
sub_5:Test (Best Model) - Loss: 0.1735 - Accuracy: 0.4762 - F1: 0.3226
sub_5:Test (Best Model) - Loss: 0.1746 - Accuracy: 0.5238 - F1: 0.3438
sub_5:Test (Best Model) - Loss: 0.1747 - Accuracy: 0.5238 - F1: 0.3438
sub_5:Test (Best Model) - Loss: 0.1806 - Accuracy: 0.5238 - F1: 0.3438
sub_5:Test (Best Model) - Loss: 0.1753 - Accuracy: 0.4762 - F1: 0.3226
sub_5:Test (Best Model) - Loss: 0.1729 - Accuracy: 0.5238 - F1: 0.3438
sub_6:Test (Best Model) - Loss: 0.1777 - Accuracy: 0.5238 - F1: 0.3438
sub_6:Test (Best Model) - Loss: 0.1727 - Accuracy: 0.5238 - F1: 0.3438
sub_6:Test (Best Model) - Loss: 0.1781 - Accuracy: 0.5714 - F1: 0.4457
sub_6:Test (Best Model) - Loss: 0.2710 - Accuracy: 0.4762 - F1: 0.3226
sub_6:Test (Best Model) - Loss: 0.1759 - Accuracy: 0.4762 - F1: 0.3226
sub_6:Test (Best Model) - Loss: 0.1783 - Accuracy: 0.5238 - F1: 0.3438
sub_6:Test (Best Model) - Loss: 0.2037 - Accuracy: 0.5238 - F1: 0.3438
sub_6:Test (Best Model) - Loss: 0.1809 - Accuracy: 0.4762 - F1: 0.3226
sub_6:Test (Best Model) - Loss: 0.1704 - Accuracy: 0.7143 - F1: 0.7083
sub_6:Test (Best Model) - Loss: 0.1750 - Accuracy: 0.5238 - F1: 0.3438
sub_6:Test (Best Model) - Loss: 0.1737 - Accuracy: 0.5238 - F1: 0.3438
sub_6:Test (Best Model) - Loss: 0.1742 - Accuracy: 0.5238 - F1: 0.3438
sub_6:Test (Best Model) - Loss: 0.1687 - Accuracy: 0.4762 - F1: 0.3226
sub_6:Test (Best Model) - Loss: 0.2100 - Accuracy: 0.4762 - F1: 0.3226
sub_6:Test (Best Model) - Loss: 0.2193 - Accuracy: 0.5238 - F1: 0.3438
sub_7:Test (Best Model) - Loss: 0.1733 - Accuracy: 0.5238 - F1: 0.3438
sub_7:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.5238 - F1: 0.3438
sub_7:Test (Best Model) - Loss: 0.1744 - Accuracy: 0.4762 - F1: 0.3226
sub_7:Test (Best Model) - Loss: 0.2446 - Accuracy: 0.5238 - F1: 0.3438
sub_7:Test (Best Model) - Loss: 0.1767 - Accuracy: 0.4762 - F1: 0.3226
sub_7:Test (Best Model) - Loss: 0.1739 - Accuracy: 0.5238 - F1: 0.3438
sub_7:Test (Best Model) - Loss: 0.1874 - Accuracy: 0.5238 - F1: 0.3438
sub_7:Test (Best Model) - Loss: 0.1755 - Accuracy: 0.4762 - F1: 0.3226
sub_7:Test (Best Model) - Loss: 0.1802 - Accuracy: 0.4762 - F1: 0.3226
sub_7:Test (Best Model) - Loss: 0.1729 - Accuracy: 0.5238 - F1: 0.3438
sub_7:Test (Best Model) - Loss: 0.1910 - Accuracy: 0.5238 - F1: 0.3438
sub_7:Test (Best Model) - Loss: 0.1763 - Accuracy: 0.5238 - F1: 0.3438
sub_7:Test (Best Model) - Loss: 0.2430 - Accuracy: 0.4762 - F1: 0.3226
sub_7:Test (Best Model) - Loss: 0.1948 - Accuracy: 0.4762 - F1: 0.3226
sub_7:Test (Best Model) - Loss: 0.1781 - Accuracy: 0.5238 - F1: 0.3438
sub_8:Test (Best Model) - Loss: 0.1748 - Accuracy: 0.5238 - F1: 0.3438
sub_8:Test (Best Model) - Loss: 0.1763 - Accuracy: 0.5238 - F1: 0.3438
sub_8:Test (Best Model) - Loss: 0.1825 - Accuracy: 0.4762 - F1: 0.3226
sub_8:Test (Best Model) - Loss: 0.1566 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.1757 - Accuracy: 0.5238 - F1: 0.3438
sub_8:Test (Best Model) - Loss: 0.1736 - Accuracy: 0.5238 - F1: 0.3438
sub_8:Test (Best Model) - Loss: 0.1753 - Accuracy: 0.5238 - F1: 0.3438
sub_8:Test (Best Model) - Loss: 0.1827 - Accuracy: 0.5238 - F1: 0.3438
sub_8:Test (Best Model) - Loss: 0.1361 - Accuracy: 0.9524 - F1: 0.9519
sub_8:Test (Best Model) - Loss: 0.1941 - Accuracy: 0.4762 - F1: 0.3226
sub_8:Test (Best Model) - Loss: 0.1751 - Accuracy: 0.5238 - F1: 0.3438
sub_8:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.5238 - F1: 0.3438
sub_8:Test (Best Model) - Loss: 0.1741 - Accuracy: 0.5238 - F1: 0.3438
sub_8:Test (Best Model) - Loss: 0.2067 - Accuracy: 0.4762 - F1: 0.3226
sub_8:Test (Best Model) - Loss: 0.2022 - Accuracy: 0.5238 - F1: 0.3438
sub_9:Test (Best Model) - Loss: 0.1744 - Accuracy: 0.5238 - F1: 0.3438
sub_9:Test (Best Model) - Loss: 0.1742 - Accuracy: 0.5238 - F1: 0.3438
sub_9:Test (Best Model) - Loss: 0.2081 - Accuracy: 0.4762 - F1: 0.3226
sub_9:Test (Best Model) - Loss: 0.2026 - Accuracy: 0.5238 - F1: 0.3438
sub_9:Test (Best Model) - Loss: 0.2070 - Accuracy: 0.5238 - F1: 0.3438
sub_9:Test (Best Model) - Loss: 0.1792 - Accuracy: 0.5238 - F1: 0.3438
sub_9:Test (Best Model) - Loss: 0.1250 - Accuracy: 0.8095 - F1: 0.8056
sub_9:Test (Best Model) - Loss: 0.1772 - Accuracy: 0.4762 - F1: 0.3226
sub_9:Test (Best Model) - Loss: 0.1825 - Accuracy: 0.5238 - F1: 0.3438
sub_9:Test (Best Model) - Loss: 0.2339 - Accuracy: 0.4762 - F1: 0.3226
sub_9:Test (Best Model) - Loss: 0.1833 - Accuracy: 0.5238 - F1: 0.3438
sub_9:Test (Best Model) - Loss: 0.2253 - Accuracy: 0.4762 - F1: 0.3226
sub_9:Test (Best Model) - Loss: 0.1738 - Accuracy: 0.4762 - F1: 0.3226
sub_9:Test (Best Model) - Loss: 0.3721 - Accuracy: 0.5714 - F1: 0.4987
sub_9:Test (Best Model) - Loss: 0.1738 - Accuracy: 0.4762 - F1: 0.3226
sub_10:Test (Best Model) - Loss: 0.1727 - Accuracy: 0.6667 - F1: 0.6667
sub_10:Test (Best Model) - Loss: 0.1886 - Accuracy: 0.5238 - F1: 0.3438
sub_10:Test (Best Model) - Loss: 0.2687 - Accuracy: 0.4286 - F1: 0.4273
sub_10:Test (Best Model) - Loss: 0.1734 - Accuracy: 0.5238 - F1: 0.3438
sub_10:Test (Best Model) - Loss: 0.1732 - Accuracy: 0.5238 - F1: 0.3438
sub_10:Test (Best Model) - Loss: 0.1736 - Accuracy: 0.5238 - F1: 0.3438
sub_10:Test (Best Model) - Loss: 0.1718 - Accuracy: 0.9524 - F1: 0.9519
sub_10:Test (Best Model) - Loss: 0.1901 - Accuracy: 0.4762 - F1: 0.3226
sub_10:Test (Best Model) - Loss: 0.1869 - Accuracy: 0.4762 - F1: 0.3226
sub_10:Test (Best Model) - Loss: 0.1745 - Accuracy: 0.5238 - F1: 0.3438
sub_10:Test (Best Model) - Loss: 0.1737 - Accuracy: 0.5238 - F1: 0.3438
sub_10:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.5238 - F1: 0.3438
sub_10:Test (Best Model) - Loss: 0.1922 - Accuracy: 0.4762 - F1: 0.3226
sub_10:Test (Best Model) - Loss: 0.2530 - Accuracy: 0.4762 - F1: 0.3226
sub_10:Test (Best Model) - Loss: 0.1865 - Accuracy: 0.4762 - F1: 0.3226
sub_11:Test (Best Model) - Loss: 0.1765 - Accuracy: 0.5238 - F1: 0.3438
sub_11:Test (Best Model) - Loss: 0.1946 - Accuracy: 0.5238 - F1: 0.3438
sub_11:Test (Best Model) - Loss: 0.1906 - Accuracy: 0.4762 - F1: 0.3226
sub_11:Test (Best Model) - Loss: 0.1759 - Accuracy: 0.4762 - F1: 0.3226
sub_11:Test (Best Model) - Loss: 0.1942 - Accuracy: 0.4762 - F1: 0.3226
sub_11:Test (Best Model) - Loss: 0.1759 - Accuracy: 0.5238 - F1: 0.3438
sub_11:Test (Best Model) - Loss: 0.2125 - Accuracy: 0.5238 - F1: 0.3438
sub_11:Test (Best Model) - Loss: 0.1737 - Accuracy: 0.5238 - F1: 0.3438
sub_11:Test (Best Model) - Loss: 0.2271 - Accuracy: 0.5238 - F1: 0.3438
sub_11:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.8571 - F1: 0.8558
sub_11:Test (Best Model) - Loss: 0.1816 - Accuracy: 0.5238 - F1: 0.3438
sub_11:Test (Best Model) - Loss: 0.1987 - Accuracy: 0.5238 - F1: 0.3438
sub_11:Test (Best Model) - Loss: 0.1766 - Accuracy: 0.5238 - F1: 0.3438
sub_11:Test (Best Model) - Loss: 0.2469 - Accuracy: 0.4762 - F1: 0.3226
sub_11:Test (Best Model) - Loss: 0.2141 - Accuracy: 0.4762 - F1: 0.3226
sub_12:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.5238 - F1: 0.3438
sub_12:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.5238 - F1: 0.3438
sub_12:Test (Best Model) - Loss: 0.1756 - Accuracy: 0.4762 - F1: 0.3226
sub_12:Test (Best Model) - Loss: 0.1834 - Accuracy: 0.4762 - F1: 0.3226
sub_12:Test (Best Model) - Loss: 0.1958 - Accuracy: 0.5238 - F1: 0.3438
sub_12:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.5238 - F1: 0.3438
sub_12:Test (Best Model) - Loss: 0.1763 - Accuracy: 0.5238 - F1: 0.3438
sub_12:Test (Best Model) - Loss: 0.1983 - Accuracy: 0.4762 - F1: 0.3226
sub_12:Test (Best Model) - Loss: 0.2026 - Accuracy: 0.4762 - F1: 0.3226
sub_12:Test (Best Model) - Loss: 0.1726 - Accuracy: 0.5714 - F1: 0.5714
sub_12:Test (Best Model) - Loss: 0.2133 - Accuracy: 0.5238 - F1: 0.3438
sub_12:Test (Best Model) - Loss: 0.1791 - Accuracy: 0.5238 - F1: 0.3438
sub_12:Test (Best Model) - Loss: 0.1903 - Accuracy: 0.4762 - F1: 0.3226
sub_12:Test (Best Model) - Loss: 0.2384 - Accuracy: 0.4762 - F1: 0.3226
sub_12:Test (Best Model) - Loss: 0.1760 - Accuracy: 0.4762 - F1: 0.3226
sub_13:Test (Best Model) - Loss: 0.1878 - Accuracy: 0.5238 - F1: 0.3438
sub_13:Test (Best Model) - Loss: 0.1821 - Accuracy: 0.5238 - F1: 0.3438
sub_13:Test (Best Model) - Loss: 0.2161 - Accuracy: 0.5238 - F1: 0.3438
sub_13:Test (Best Model) - Loss: 0.1603 - Accuracy: 0.6190 - F1: 0.5714
sub_13:Test (Best Model) - Loss: 0.1738 - Accuracy: 0.5238 - F1: 0.3438
sub_13:Test (Best Model) - Loss: 0.1864 - Accuracy: 0.5238 - F1: 0.3438
sub_13:Test (Best Model) - Loss: 0.2444 - Accuracy: 0.5238 - F1: 0.3438
sub_13:Test (Best Model) - Loss: 0.1959 - Accuracy: 0.4762 - F1: 0.3226
sub_13:Test (Best Model) - Loss: 0.2219 - Accuracy: 0.5238 - F1: 0.3438
sub_13:Test (Best Model) - Loss: 0.1788 - Accuracy: 0.5238 - F1: 0.3438
sub_13:Test (Best Model) - Loss: 0.1736 - Accuracy: 0.5238 - F1: 0.3438
sub_13:Test (Best Model) - Loss: 0.1812 - Accuracy: 0.5238 - F1: 0.3438
sub_13:Test (Best Model) - Loss: 0.2057 - Accuracy: 0.5238 - F1: 0.3438
sub_13:Test (Best Model) - Loss: 0.1754 - Accuracy: 0.4762 - F1: 0.3226
sub_13:Test (Best Model) - Loss: 0.1806 - Accuracy: 0.5238 - F1: 0.3438
sub_14:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.5238 - F1: 0.3438
sub_14:Test (Best Model) - Loss: 0.1885 - Accuracy: 0.5238 - F1: 0.3438
sub_14:Test (Best Model) - Loss: 0.1826 - Accuracy: 0.4286 - F1: 0.3000
sub_14:Test (Best Model) - Loss: 0.1960 - Accuracy: 0.4762 - F1: 0.3226
sub_14:Test (Best Model) - Loss: 0.1836 - Accuracy: 0.4762 - F1: 0.3226
sub_14:Test (Best Model) - Loss: 0.1798 - Accuracy: 0.5238 - F1: 0.3438
sub_14:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.5238 - F1: 0.3438
sub_14:Test (Best Model) - Loss: 0.2217 - Accuracy: 0.5238 - F1: 0.3438
sub_14:Test (Best Model) - Loss: 0.1572 - Accuracy: 0.8571 - F1: 0.8571
sub_14:Test (Best Model) - Loss: 0.2401 - Accuracy: 0.5238 - F1: 0.3438
sub_14:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.5238 - F1: 0.3438
sub_14:Test (Best Model) - Loss: 0.1732 - Accuracy: 0.5238 - F1: 0.3438
sub_14:Test (Best Model) - Loss: 0.2237 - Accuracy: 0.4762 - F1: 0.3226
sub_14:Test (Best Model) - Loss: 0.1922 - Accuracy: 0.5238 - F1: 0.3438
sub_14:Test (Best Model) - Loss: 0.1743 - Accuracy: 0.5238 - F1: 0.3438

=== Summary Results ===

acc:   52.52 ± 1.82
F1:    36.75 ± 2.61
acc‑in:57.98 ± 2.67
F1‑in: 39.93 ± 4.03
