lr: 0.0001
sub_1:Test (Best Model) - Loss: 0.2191 - Accuracy: 0.6429 - F1: 0.6111
sub_1:Test (Best Model) - Loss: 0.2271 - Accuracy: 0.6786 - F1: 0.6748
sub_1:Test (Best Model) - Loss: 0.2311 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.1630 - Accuracy: 0.7857 - F1: 0.7857
sub_1:Test (Best Model) - Loss: 0.2307 - Accuracy: 0.4643 - F1: 0.3665
sub_1:Test (Best Model) - Loss: 0.1918 - Accuracy: 0.9286 - F1: 0.9282
sub_1:Test (Best Model) - Loss: 0.1931 - Accuracy: 0.7500 - F1: 0.7333
sub_1:Test (Best Model) - Loss: 0.2310 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.2130 - Accuracy: 0.8929 - F1: 0.8927
sub_1:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5714 - F1: 0.4750
sub_1:Test (Best Model) - Loss: 0.1847 - Accuracy: 0.7857 - F1: 0.7812
sub_1:Test (Best Model) - Loss: 0.2217 - Accuracy: 0.6429 - F1: 0.5906
sub_1:Test (Best Model) - Loss: 0.2064 - Accuracy: 0.7500 - F1: 0.7418
sub_1:Test (Best Model) - Loss: 0.2260 - Accuracy: 0.6786 - F1: 0.6571
sub_1:Test (Best Model) - Loss: 0.2247 - Accuracy: 0.6786 - F1: 0.6782
sub_2:Test (Best Model) - Loss: 0.2268 - Accuracy: 0.7143 - F1: 0.6889
sub_2:Test (Best Model) - Loss: 0.1927 - Accuracy: 0.7143 - F1: 0.6889
sub_2:Test (Best Model) - Loss: 0.1770 - Accuracy: 0.8571 - F1: 0.8571
sub_2:Test (Best Model) - Loss: 0.2263 - Accuracy: 0.6429 - F1: 0.5906
sub_2:Test (Best Model) - Loss: 0.2041 - Accuracy: 0.6786 - F1: 0.6415
sub_2:Test (Best Model) - Loss: 0.2266 - Accuracy: 0.7143 - F1: 0.6889
sub_2:Test (Best Model) - Loss: 0.2117 - Accuracy: 0.7500 - F1: 0.7333
sub_2:Test (Best Model) - Loss: 0.2249 - Accuracy: 0.6786 - F1: 0.6415
sub_2:Test (Best Model) - Loss: 0.1094 - Accuracy: 0.8929 - F1: 0.8927
sub_2:Test (Best Model) - Loss: 0.2284 - Accuracy: 0.6429 - F1: 0.5906
sub_2:Test (Best Model) - Loss: 0.1544 - Accuracy: 0.8929 - F1: 0.8927
sub_2:Test (Best Model) - Loss: 0.1480 - Accuracy: 0.8929 - F1: 0.8916
sub_2:Test (Best Model) - Loss: 0.1703 - Accuracy: 0.8214 - F1: 0.8155
sub_2:Test (Best Model) - Loss: 0.2206 - Accuracy: 0.8929 - F1: 0.8927
sub_2:Test (Best Model) - Loss: 0.0904 - Accuracy: 0.8929 - F1: 0.8927
sub_3:Test (Best Model) - Loss: 0.2340 - Accuracy: 0.5000 - F1: 0.5000
sub_3:Test (Best Model) - Loss: 0.2799 - Accuracy: 0.5000 - F1: 0.4896
sub_3:Test (Best Model) - Loss: 0.2311 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.2311 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.2310 - Accuracy: 0.5357 - F1: 0.4510
sub_3:Test (Best Model) - Loss: 0.2311 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.1629 - Accuracy: 0.8571 - F1: 0.8542
sub_3:Test (Best Model) - Loss: 0.2311 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.2311 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.2311 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.8214 - F1: 0.8155
sub_3:Test (Best Model) - Loss: 0.2985 - Accuracy: 0.6429 - F1: 0.6111
sub_3:Test (Best Model) - Loss: 0.2451 - Accuracy: 0.3929 - F1: 0.2821
sub_3:Test (Best Model) - Loss: 0.2311 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.2296 - Accuracy: 0.5000 - F1: 0.3875
sub_4:Test (Best Model) - Loss: 0.1996 - Accuracy: 0.7500 - F1: 0.7497
sub_4:Test (Best Model) - Loss: 0.2057 - Accuracy: 0.7143 - F1: 0.6889
sub_4:Test (Best Model) - Loss: 0.1884 - Accuracy: 0.7143 - F1: 0.6889
sub_4:Test (Best Model) - Loss: 0.2049 - Accuracy: 0.8929 - F1: 0.8916
sub_4:Test (Best Model) - Loss: 0.1450 - Accuracy: 0.8571 - F1: 0.8564
sub_4:Test (Best Model) - Loss: 0.2257 - Accuracy: 0.5714 - F1: 0.4750
sub_4:Test (Best Model) - Loss: 0.2307 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.1567 - Accuracy: 0.8929 - F1: 0.8916
sub_4:Test (Best Model) - Loss: 0.2249 - Accuracy: 0.9643 - F1: 0.9642
sub_4:Test (Best Model) - Loss: 0.1798 - Accuracy: 0.8571 - F1: 0.8542
sub_4:Test (Best Model) - Loss: 0.2134 - Accuracy: 0.8214 - F1: 0.8212
sub_4:Test (Best Model) - Loss: 0.1805 - Accuracy: 0.8214 - F1: 0.8194
sub_4:Test (Best Model) - Loss: 0.2287 - Accuracy: 0.5714 - F1: 0.5333
sub_4:Test (Best Model) - Loss: 0.2188 - Accuracy: 0.6429 - F1: 0.6257
sub_4:Test (Best Model) - Loss: 0.1969 - Accuracy: 0.8571 - F1: 0.8564
sub_5:Test (Best Model) - Loss: 0.2285 - Accuracy: 0.8214 - F1: 0.8155
sub_5:Test (Best Model) - Loss: 0.1867 - Accuracy: 0.7500 - F1: 0.7333
sub_5:Test (Best Model) - Loss: 0.1671 - Accuracy: 0.8214 - F1: 0.8194
sub_5:Test (Best Model) - Loss: 0.1430 - Accuracy: 0.8214 - F1: 0.8155
sub_5:Test (Best Model) - Loss: 0.2092 - Accuracy: 0.8214 - F1: 0.8212
sub_5:Test (Best Model) - Loss: 0.1704 - Accuracy: 0.8214 - F1: 0.8212
sub_5:Test (Best Model) - Loss: 0.1468 - Accuracy: 0.8214 - F1: 0.8155
sub_5:Test (Best Model) - Loss: 0.2012 - Accuracy: 0.7143 - F1: 0.7005
sub_5:Test (Best Model) - Loss: 0.1873 - Accuracy: 0.7857 - F1: 0.7812
sub_5:Test (Best Model) - Loss: 0.2273 - Accuracy: 0.6071 - F1: 0.6026
sub_5:Test (Best Model) - Loss: 0.2205 - Accuracy: 0.7143 - F1: 0.7005
sub_5:Test (Best Model) - Loss: 0.1741 - Accuracy: 0.8214 - F1: 0.8194
sub_5:Test (Best Model) - Loss: 0.2230 - Accuracy: 0.7143 - F1: 0.7005
sub_5:Test (Best Model) - Loss: 0.1742 - Accuracy: 0.7500 - F1: 0.7471
sub_5:Test (Best Model) - Loss: 0.2183 - Accuracy: 0.6429 - F1: 0.6257
sub_6:Test (Best Model) - Loss: 0.2685 - Accuracy: 0.5357 - F1: 0.5048
sub_6:Test (Best Model) - Loss: 0.1933 - Accuracy: 0.8571 - F1: 0.8564
sub_6:Test (Best Model) - Loss: 0.2237 - Accuracy: 0.5714 - F1: 0.5714
sub_6:Test (Best Model) - Loss: 0.2311 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.2310 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.2256 - Accuracy: 0.6071 - F1: 0.5619
sub_6:Test (Best Model) - Loss: 0.2233 - Accuracy: 0.5714 - F1: 0.5625
sub_6:Test (Best Model) - Loss: 0.2310 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.2135 - Accuracy: 0.7857 - F1: 0.7812
sub_6:Test (Best Model) - Loss: 0.2310 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.7500 - F1: 0.7333
sub_6:Test (Best Model) - Loss: 0.1727 - Accuracy: 0.7857 - F1: 0.7812
sub_6:Test (Best Model) - Loss: 0.1964 - Accuracy: 0.7857 - F1: 0.7754
sub_6:Test (Best Model) - Loss: 0.2260 - Accuracy: 0.7857 - F1: 0.7754
sub_6:Test (Best Model) - Loss: 0.2275 - Accuracy: 0.6429 - F1: 0.6111
sub_7:Test (Best Model) - Loss: 0.2178 - Accuracy: 0.7143 - F1: 0.7128
sub_7:Test (Best Model) - Loss: 0.1503 - Accuracy: 0.8214 - F1: 0.8212
sub_7:Test (Best Model) - Loss: 0.2117 - Accuracy: 0.6429 - F1: 0.6354
sub_7:Test (Best Model) - Loss: 0.2248 - Accuracy: 0.5714 - F1: 0.5088
sub_7:Test (Best Model) - Loss: 0.2144 - Accuracy: 0.6786 - F1: 0.6782
sub_7:Test (Best Model) - Loss: 0.2311 - Accuracy: 0.4643 - F1: 0.3171
sub_7:Test (Best Model) - Loss: 0.2309 - Accuracy: 0.4643 - F1: 0.3171
sub_7:Test (Best Model) - Loss: 0.2310 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.2311 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.2310 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.2510 - Accuracy: 0.5357 - F1: 0.5303
sub_7:Test (Best Model) - Loss: 0.2300 - Accuracy: 0.5000 - F1: 0.4556
sub_7:Test (Best Model) - Loss: 0.2311 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.2259 - Accuracy: 0.7500 - F1: 0.7418
sub_7:Test (Best Model) - Loss: 0.2063 - Accuracy: 0.7143 - F1: 0.6889
sub_8:Test (Best Model) - Loss: 0.2243 - Accuracy: 0.8571 - F1: 0.8542
sub_8:Test (Best Model) - Loss: 0.1554 - Accuracy: 0.8571 - F1: 0.8542
sub_8:Test (Best Model) - Loss: 0.1831 - Accuracy: 0.7500 - F1: 0.7333
sub_8:Test (Best Model) - Loss: 0.2257 - Accuracy: 0.8214 - F1: 0.8155
sub_8:Test (Best Model) - Loss: 0.1784 - Accuracy: 0.7857 - F1: 0.7754
sub_8:Test (Best Model) - Loss: 0.2273 - Accuracy: 0.8929 - F1: 0.8927
sub_8:Test (Best Model) - Loss: 0.1916 - Accuracy: 0.7143 - F1: 0.6889
sub_8:Test (Best Model) - Loss: 0.1061 - Accuracy: 0.9643 - F1: 0.9642
sub_8:Test (Best Model) - Loss: 0.2256 - Accuracy: 0.9643 - F1: 0.9642
sub_8:Test (Best Model) - Loss: 0.1763 - Accuracy: 0.9643 - F1: 0.9642
sub_8:Test (Best Model) - Loss: 0.2305 - Accuracy: 0.7143 - F1: 0.7128
sub_8:Test (Best Model) - Loss: 0.1450 - Accuracy: 0.8571 - F1: 0.8571
sub_8:Test (Best Model) - Loss: 0.2038 - Accuracy: 0.7500 - F1: 0.7418
sub_8:Test (Best Model) - Loss: 0.1975 - Accuracy: 0.8214 - F1: 0.8155
sub_8:Test (Best Model) - Loss: 0.1858 - Accuracy: 0.9286 - F1: 0.9282
sub_9:Test (Best Model) - Loss: 0.2081 - Accuracy: 0.6786 - F1: 0.6571
sub_9:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.7857 - F1: 0.7754
sub_9:Test (Best Model) - Loss: 0.1470 - Accuracy: 0.8571 - F1: 0.8564
sub_9:Test (Best Model) - Loss: 0.0446 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.1928 - Accuracy: 0.9643 - F1: 0.9642
sub_9:Test (Best Model) - Loss: 0.2297 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.1889 - Accuracy: 0.8929 - F1: 0.8916
sub_9:Test (Best Model) - Loss: 0.1957 - Accuracy: 0.7857 - F1: 0.7812
sub_9:Test (Best Model) - Loss: 0.2043 - Accuracy: 0.8929 - F1: 0.8916
sub_9:Test (Best Model) - Loss: 0.1421 - Accuracy: 0.8929 - F1: 0.8927
sub_9:Test (Best Model) - Loss: 0.2299 - Accuracy: 0.6429 - F1: 0.5906
sub_9:Test (Best Model) - Loss: 0.1030 - Accuracy: 0.9286 - F1: 0.9286
sub_9:Test (Best Model) - Loss: 0.2261 - Accuracy: 0.6071 - F1: 0.5354
sub_9:Test (Best Model) - Loss: 0.1749 - Accuracy: 0.7500 - F1: 0.7418
sub_9:Test (Best Model) - Loss: 0.1232 - Accuracy: 0.9286 - F1: 0.9282
sub_10:Test (Best Model) - Loss: 0.2140 - Accuracy: 0.7143 - F1: 0.7083
sub_10:Test (Best Model) - Loss: 0.2292 - Accuracy: 0.5714 - F1: 0.5088
sub_10:Test (Best Model) - Loss: 0.2180 - Accuracy: 0.6429 - F1: 0.6410
sub_10:Test (Best Model) - Loss: 0.1533 - Accuracy: 0.8571 - F1: 0.8571
sub_10:Test (Best Model) - Loss: 0.2310 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.2305 - Accuracy: 0.5000 - F1: 0.4759
sub_10:Test (Best Model) - Loss: 0.1728 - Accuracy: 0.8214 - F1: 0.8194
sub_10:Test (Best Model) - Loss: 0.2093 - Accuracy: 0.6786 - F1: 0.6748
sub_10:Test (Best Model) - Loss: 0.2311 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.1765 - Accuracy: 0.8571 - F1: 0.8542
sub_10:Test (Best Model) - Loss: 0.2260 - Accuracy: 0.5357 - F1: 0.4081
sub_10:Test (Best Model) - Loss: 0.2264 - Accuracy: 0.5357 - F1: 0.4081
sub_10:Test (Best Model) - Loss: 0.2408 - Accuracy: 0.5714 - F1: 0.4750
sub_10:Test (Best Model) - Loss: 0.2133 - Accuracy: 0.7857 - F1: 0.7857
sub_10:Test (Best Model) - Loss: 0.2311 - Accuracy: 0.5000 - F1: 0.3333
sub_11:Test (Best Model) - Loss: 0.2609 - Accuracy: 0.5357 - F1: 0.4081
sub_11:Test (Best Model) - Loss: 0.2288 - Accuracy: 0.8571 - F1: 0.8542
sub_11:Test (Best Model) - Loss: 0.1422 - Accuracy: 0.8571 - F1: 0.8542
sub_11:Test (Best Model) - Loss: 0.1385 - Accuracy: 0.8571 - F1: 0.8542
sub_11:Test (Best Model) - Loss: 0.1930 - Accuracy: 0.7857 - F1: 0.7754
sub_11:Test (Best Model) - Loss: 0.2166 - Accuracy: 0.7143 - F1: 0.7143
sub_11:Test (Best Model) - Loss: 0.1720 - Accuracy: 0.8214 - F1: 0.8212
sub_11:Test (Best Model) - Loss: 0.1927 - Accuracy: 0.7857 - F1: 0.7846
sub_11:Test (Best Model) - Loss: 0.1347 - Accuracy: 0.8571 - F1: 0.8571
sub_11:Test (Best Model) - Loss: 0.2288 - Accuracy: 0.5000 - F1: 0.3333
sub_11:Test (Best Model) - Loss: 0.1494 - Accuracy: 0.9286 - F1: 0.9282
sub_11:Test (Best Model) - Loss: 0.2219 - Accuracy: 0.9286 - F1: 0.9282
sub_11:Test (Best Model) - Loss: 0.1088 - Accuracy: 0.8929 - F1: 0.8927
sub_11:Test (Best Model) - Loss: 0.1828 - Accuracy: 0.7500 - F1: 0.7418
sub_11:Test (Best Model) - Loss: 0.0887 - Accuracy: 0.9286 - F1: 0.9282
sub_12:Test (Best Model) - Loss: 0.2310 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.1845 - Accuracy: 0.6786 - F1: 0.6782
sub_12:Test (Best Model) - Loss: 0.2233 - Accuracy: 0.5714 - F1: 0.4750
sub_12:Test (Best Model) - Loss: 0.2048 - Accuracy: 0.7143 - F1: 0.7005
sub_12:Test (Best Model) - Loss: 0.1896 - Accuracy: 0.7143 - F1: 0.7143
sub_12:Test (Best Model) - Loss: 0.2205 - Accuracy: 0.6071 - F1: 0.5810
sub_12:Test (Best Model) - Loss: 0.2388 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.2311 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.2311 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.2271 - Accuracy: 0.6786 - F1: 0.6748
sub_12:Test (Best Model) - Loss: 0.2311 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.2254 - Accuracy: 0.6071 - F1: 0.5354
sub_12:Test (Best Model) - Loss: 0.2268 - Accuracy: 0.7500 - F1: 0.7418
sub_12:Test (Best Model) - Loss: 0.2310 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.1693 - Accuracy: 0.8929 - F1: 0.8916
sub_13:Test (Best Model) - Loss: 0.1835 - Accuracy: 0.7857 - F1: 0.7857
sub_13:Test (Best Model) - Loss: 0.2621 - Accuracy: 0.5000 - F1: 0.3333
sub_13:Test (Best Model) - Loss: 0.1456 - Accuracy: 0.8214 - F1: 0.8212
sub_13:Test (Best Model) - Loss: 0.2323 - Accuracy: 0.5714 - F1: 0.5692
sub_13:Test (Best Model) - Loss: 0.2091 - Accuracy: 0.7143 - F1: 0.7083
sub_13:Test (Best Model) - Loss: 0.2173 - Accuracy: 0.6429 - F1: 0.5906
sub_13:Test (Best Model) - Loss: 0.2261 - Accuracy: 0.6786 - F1: 0.6415
sub_13:Test (Best Model) - Loss: 0.2058 - Accuracy: 0.6786 - F1: 0.6782
sub_13:Test (Best Model) - Loss: 0.2191 - Accuracy: 0.7143 - F1: 0.7083
sub_13:Test (Best Model) - Loss: 0.2277 - Accuracy: 0.7500 - F1: 0.7333
sub_13:Test (Best Model) - Loss: 0.2214 - Accuracy: 0.7857 - F1: 0.7857
sub_13:Test (Best Model) - Loss: 0.1982 - Accuracy: 0.8214 - F1: 0.8212
sub_13:Test (Best Model) - Loss: 0.1237 - Accuracy: 0.8571 - F1: 0.8571
sub_13:Test (Best Model) - Loss: 0.1453 - Accuracy: 0.8929 - F1: 0.8916
sub_13:Test (Best Model) - Loss: 0.2203 - Accuracy: 0.7857 - F1: 0.7846
sub_14:Test (Best Model) - Loss: 0.1944 - Accuracy: 0.7500 - F1: 0.7471
sub_14:Test (Best Model) - Loss: 0.2612 - Accuracy: 0.6786 - F1: 0.6415
sub_14:Test (Best Model) - Loss: 0.2263 - Accuracy: 0.7143 - F1: 0.6889
sub_14:Test (Best Model) - Loss: 0.1910 - Accuracy: 0.7857 - F1: 0.7754
sub_14:Test (Best Model) - Loss: 0.2097 - Accuracy: 0.6429 - F1: 0.5906
sub_14:Test (Best Model) - Loss: 0.2134 - Accuracy: 0.6071 - F1: 0.5354
sub_14:Test (Best Model) - Loss: 0.1779 - Accuracy: 0.7857 - F1: 0.7754
sub_14:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.9286 - F1: 0.9282
sub_14:Test (Best Model) - Loss: 0.1640 - Accuracy: 0.8929 - F1: 0.8916
sub_14:Test (Best Model) - Loss: 0.2089 - Accuracy: 0.9643 - F1: 0.9642
sub_14:Test (Best Model) - Loss: 0.2263 - Accuracy: 0.6071 - F1: 0.5354
sub_14:Test (Best Model) - Loss: 0.2285 - Accuracy: 0.8929 - F1: 0.8916
sub_14:Test (Best Model) - Loss: 0.1768 - Accuracy: 0.7857 - F1: 0.7812
sub_14:Test (Best Model) - Loss: 0.2155 - Accuracy: 0.7857 - F1: 0.7754
sub_14:Test (Best Model) - Loss: 0.1288 - Accuracy: 0.8214 - F1: 0.8212

=== Summary Results ===

acc:   71.31 ± 8.83
F1:    67.30 ± 11.65
acc‑in:83.18 ± 9.44
F1‑in: 79.97 ± 12.41
