lr: 1e-06
sub_7:Test (Best Model) - Loss: 1.7427 - Accuracy: 0.2190 - F1: 0.1501
sub_3:Test (Best Model) - Loss: 1.6547 - Accuracy: 0.2524 - F1: 0.1951
sub_4:Test (Best Model) - Loss: 1.8059 - Accuracy: 0.2000 - F1: 0.1834
sub_12:Test (Best Model) - Loss: 1.6806 - Accuracy: 0.2286 - F1: 0.1907
sub_11:Test (Best Model) - Loss: 1.6691 - Accuracy: 0.2429 - F1: 0.2245
sub_14:Test (Best Model) - Loss: 1.7231 - Accuracy: 0.2000 - F1: 0.1608
sub_13:Test (Best Model) - Loss: 1.6499 - Accuracy: 0.2714 - F1: 0.2387
sub_9:Test (Best Model) - Loss: 1.7904 - Accuracy: 0.2905 - F1: 0.1678
sub_6:Test (Best Model) - Loss: 1.7233 - Accuracy: 0.1857 - F1: 0.1793
sub_12:Test (Best Model) - Loss: 1.6435 - Accuracy: 0.2048 - F1: 0.1854
sub_7:Test (Best Model) - Loss: 1.6262 - Accuracy: 0.2095 - F1: 0.1956
sub_10:Test (Best Model) - Loss: 1.5973 - Accuracy: 0.2714 - F1: 0.2387
sub_3:Test (Best Model) - Loss: 1.8096 - Accuracy: 0.2238 - F1: 0.1547
sub_4:Test (Best Model) - Loss: 1.7551 - Accuracy: 0.1857 - F1: 0.1523
sub_2:Test (Best Model) - Loss: 1.6465 - Accuracy: 0.3190 - F1: 0.2900
sub_6:Test (Best Model) - Loss: 1.7630 - Accuracy: 0.1762 - F1: 0.1599
sub_1:Test (Best Model) - Loss: 1.6354 - Accuracy: 0.3524 - F1: 0.2995
sub_7:Test (Best Model) - Loss: 1.7286 - Accuracy: 0.1905 - F1: 0.1550
sub_14:Test (Best Model) - Loss: 1.6477 - Accuracy: 0.2238 - F1: 0.1937
sub_10:Test (Best Model) - Loss: 1.7694 - Accuracy: 0.1571 - F1: 0.1235
sub_4:Test (Best Model) - Loss: 1.8965 - Accuracy: 0.1714 - F1: 0.1347
sub_8:Test (Best Model) - Loss: 1.5302 - Accuracy: 0.3667 - F1: 0.3087
sub_3:Test (Best Model) - Loss: 1.8014 - Accuracy: 0.2095 - F1: 0.1341
sub_5:Test (Best Model) - Loss: 1.6045 - Accuracy: 0.2810 - F1: 0.2365
sub_2:Test (Best Model) - Loss: 1.8346 - Accuracy: 0.2143 - F1: 0.1573
sub_13:Test (Best Model) - Loss: 1.8366 - Accuracy: 0.2190 - F1: 0.1686
sub_9:Test (Best Model) - Loss: 1.7041 - Accuracy: 0.1714 - F1: 0.1253
sub_6:Test (Best Model) - Loss: 1.9048 - Accuracy: 0.2143 - F1: 0.1376
sub_1:Test (Best Model) - Loss: 1.7945 - Accuracy: 0.2000 - F1: 0.1635
sub_14:Test (Best Model) - Loss: 1.8321 - Accuracy: 0.1762 - F1: 0.1536
sub_7:Test (Best Model) - Loss: 1.6548 - Accuracy: 0.2143 - F1: 0.1700
sub_12:Test (Best Model) - Loss: 1.8020 - Accuracy: 0.2000 - F1: 0.1630
sub_10:Test (Best Model) - Loss: 1.9032 - Accuracy: 0.1762 - F1: 0.1556
sub_2:Test (Best Model) - Loss: 1.9109 - Accuracy: 0.1381 - F1: 0.1208
sub_5:Test (Best Model) - Loss: 1.7769 - Accuracy: 0.1762 - F1: 0.1606
sub_6:Test (Best Model) - Loss: 1.7508 - Accuracy: 0.2190 - F1: 0.1530
sub_9:Test (Best Model) - Loss: 1.8181 - Accuracy: 0.1619 - F1: 0.1397
sub_13:Test (Best Model) - Loss: 1.7948 - Accuracy: 0.1952 - F1: 0.1461
sub_1:Test (Best Model) - Loss: 1.9080 - Accuracy: 0.2905 - F1: 0.2230
sub_7:Test (Best Model) - Loss: 1.7411 - Accuracy: 0.1524 - F1: 0.1122
sub_10:Test (Best Model) - Loss: 1.8079 - Accuracy: 0.2143 - F1: 0.1173
sub_3:Test (Best Model) - Loss: 1.8918 - Accuracy: 0.2714 - F1: 0.1553
sub_5:Test (Best Model) - Loss: 1.8091 - Accuracy: 0.2095 - F1: 0.1889
sub_6:Test (Best Model) - Loss: 1.7868 - Accuracy: 0.1762 - F1: 0.1335
sub_4:Test (Best Model) - Loss: 1.5293 - Accuracy: 0.3238 - F1: 0.2910
sub_13:Test (Best Model) - Loss: 1.8430 - Accuracy: 0.1571 - F1: 0.1183
sub_8:Test (Best Model) - Loss: 1.7608 - Accuracy: 0.1810 - F1: 0.1557
sub_7:Test (Best Model) - Loss: 1.7449 - Accuracy: 0.2190 - F1: 0.1623
sub_11:Test (Best Model) - Loss: 1.6158 - Accuracy: 0.3095 - F1: 0.3196
sub_6:Test (Best Model) - Loss: 1.7267 - Accuracy: 0.2238 - F1: 0.2031
sub_9:Test (Best Model) - Loss: 1.6277 - Accuracy: 0.3286 - F1: 0.1995
sub_5:Test (Best Model) - Loss: 1.7427 - Accuracy: 0.2000 - F1: 0.1714
sub_3:Test (Best Model) - Loss: 1.7042 - Accuracy: 0.2286 - F1: 0.1773
sub_13:Test (Best Model) - Loss: 1.7648 - Accuracy: 0.1571 - F1: 0.1196
sub_8:Test (Best Model) - Loss: 1.8272 - Accuracy: 0.1857 - F1: 0.1295
sub_1:Test (Best Model) - Loss: 1.8899 - Accuracy: 0.1810 - F1: 0.1301
sub_11:Test (Best Model) - Loss: 1.8362 - Accuracy: 0.2667 - F1: 0.2067
sub_12:Test (Best Model) - Loss: 1.5551 - Accuracy: 0.3190 - F1: 0.2904
sub_14:Test (Best Model) - Loss: 1.5611 - Accuracy: 0.3095 - F1: 0.2542
sub_6:Test (Best Model) - Loss: 1.8617 - Accuracy: 0.2238 - F1: 0.1718
sub_9:Test (Best Model) - Loss: 1.7292 - Accuracy: 0.1762 - F1: 0.1277
sub_5:Test (Best Model) - Loss: 1.7134 - Accuracy: 0.2238 - F1: 0.1962
sub_2:Test (Best Model) - Loss: 1.5427 - Accuracy: 0.2905 - F1: 0.2266
sub_4:Test (Best Model) - Loss: 1.5707 - Accuracy: 0.2905 - F1: 0.2886
sub_13:Test (Best Model) - Loss: 1.7932 - Accuracy: 0.1810 - F1: 0.1253
sub_1:Test (Best Model) - Loss: 1.6820 - Accuracy: 0.1714 - F1: 0.1524
sub_7:Test (Best Model) - Loss: 1.6921 - Accuracy: 0.2429 - F1: 0.1932
sub_6:Test (Best Model) - Loss: 1.7599 - Accuracy: 0.2190 - F1: 0.1244
sub_10:Test (Best Model) - Loss: 1.5258 - Accuracy: 0.3571 - F1: 0.3080
sub_14:Test (Best Model) - Loss: 1.7634 - Accuracy: 0.1476 - F1: 0.1434
sub_9:Test (Best Model) - Loss: 1.7111 - Accuracy: 0.1095 - F1: 0.1199
sub_13:Test (Best Model) - Loss: 1.6306 - Accuracy: 0.2857 - F1: 0.2492
sub_1:Test (Best Model) - Loss: 1.6655 - Accuracy: 0.2333 - F1: 0.2162
sub_8:Test (Best Model) - Loss: 1.5522 - Accuracy: 0.3286 - F1: 0.2494
sub_3:Test (Best Model) - Loss: 1.6082 - Accuracy: 0.2524 - F1: 0.2488
sub_7:Test (Best Model) - Loss: 1.7554 - Accuracy: 0.2095 - F1: 0.1579
sub_14:Test (Best Model) - Loss: 1.8464 - Accuracy: 0.2333 - F1: 0.1428
sub_12:Test (Best Model) - Loss: 1.5783 - Accuracy: 0.3333 - F1: 0.2819
sub_9:Test (Best Model) - Loss: 1.8009 - Accuracy: 0.1905 - F1: 0.1533
sub_6:Test (Best Model) - Loss: 1.6775 - Accuracy: 0.2048 - F1: 0.1876
sub_2:Test (Best Model) - Loss: 1.6047 - Accuracy: 0.3048 - F1: 0.2491
sub_4:Test (Best Model) - Loss: 1.6334 - Accuracy: 0.2429 - F1: 0.2155
sub_3:Test (Best Model) - Loss: 1.8512 - Accuracy: 0.2048 - F1: 0.1280
sub_14:Test (Best Model) - Loss: 1.7153 - Accuracy: 0.2238 - F1: 0.2235
sub_10:Test (Best Model) - Loss: 1.6419 - Accuracy: 0.2095 - F1: 0.1788
sub_7:Test (Best Model) - Loss: 1.7551 - Accuracy: 0.1714 - F1: 0.1302
sub_12:Test (Best Model) - Loss: 1.7716 - Accuracy: 0.1905 - F1: 0.1646
sub_6:Test (Best Model) - Loss: 1.5885 - Accuracy: 0.2571 - F1: 0.2302
sub_13:Test (Best Model) - Loss: 1.6491 - Accuracy: 0.2095 - F1: 0.1803
sub_3:Test (Best Model) - Loss: 1.6956 - Accuracy: 0.1857 - F1: 0.1473
sub_11:Test (Best Model) - Loss: 1.5653 - Accuracy: 0.3190 - F1: 0.2607
sub_14:Test (Best Model) - Loss: 1.6623 - Accuracy: 0.2286 - F1: 0.2085
sub_8:Test (Best Model) - Loss: 1.6234 - Accuracy: 0.2714 - F1: 0.2375
sub_1:Test (Best Model) - Loss: 1.7618 - Accuracy: 0.2190 - F1: 0.1416
sub_13:Test (Best Model) - Loss: 1.7055 - Accuracy: 0.1952 - F1: 0.1657
sub_10:Test (Best Model) - Loss: 1.6773 - Accuracy: 0.2238 - F1: 0.1788
sub_5:Test (Best Model) - Loss: 1.6321 - Accuracy: 0.2190 - F1: 0.1859
sub_6:Test (Best Model) - Loss: 1.7277 - Accuracy: 0.2190 - F1: 0.1879
sub_14:Test (Best Model) - Loss: 1.5811 - Accuracy: 0.3095 - F1: 0.2880
sub_4:Test (Best Model) - Loss: 1.7218 - Accuracy: 0.2286 - F1: 0.1862
sub_3:Test (Best Model) - Loss: 1.7213 - Accuracy: 0.1810 - F1: 0.1566
sub_12:Test (Best Model) - Loss: 1.7002 - Accuracy: 0.1857 - F1: 0.1710
sub_2:Test (Best Model) - Loss: 1.5984 - Accuracy: 0.2857 - F1: 0.2711
sub_1:Test (Best Model) - Loss: 1.6989 - Accuracy: 0.1952 - F1: 0.1524
sub_10:Test (Best Model) - Loss: 1.6599 - Accuracy: 0.2429 - F1: 0.1906
sub_7:Test (Best Model) - Loss: 1.7323 - Accuracy: 0.1857 - F1: 0.1718
sub_4:Test (Best Model) - Loss: 1.6611 - Accuracy: 0.2238 - F1: 0.1587
sub_6:Test (Best Model) - Loss: 1.7899 - Accuracy: 0.1333 - F1: 0.1102
sub_14:Test (Best Model) - Loss: 1.7041 - Accuracy: 0.2143 - F1: 0.1763
sub_12:Test (Best Model) - Loss: 1.6980 - Accuracy: 0.2333 - F1: 0.2168
sub_2:Test (Best Model) - Loss: 1.7631 - Accuracy: 0.1429 - F1: 0.1266
sub_3:Test (Best Model) - Loss: 1.6439 - Accuracy: 0.2143 - F1: 0.2075
sub_9:Test (Best Model) - Loss: 1.5834 - Accuracy: 0.3048 - F1: 0.2926
sub_10:Test (Best Model) - Loss: 1.7644 - Accuracy: 0.2238 - F1: 0.1856
sub_1:Test (Best Model) - Loss: 1.7305 - Accuracy: 0.1810 - F1: 0.1356
sub_13:Test (Best Model) - Loss: 1.6135 - Accuracy: 0.2619 - F1: 0.2506
sub_7:Test (Best Model) - Loss: 1.8650 - Accuracy: 0.2238 - F1: 0.1508
sub_4:Test (Best Model) - Loss: 1.6575 - Accuracy: 0.2381 - F1: 0.2118
sub_14:Test (Best Model) - Loss: 1.8262 - Accuracy: 0.2286 - F1: 0.1533
sub_11:Test (Best Model) - Loss: 1.5505 - Accuracy: 0.3429 - F1: 0.3170
sub_3:Test (Best Model) - Loss: 1.9072 - Accuracy: 0.2143 - F1: 0.1034
sub_10:Test (Best Model) - Loss: 1.6358 - Accuracy: 0.2333 - F1: 0.2216
sub_1:Test (Best Model) - Loss: 1.5701 - Accuracy: 0.2429 - F1: 0.2284
sub_13:Test (Best Model) - Loss: 1.8367 - Accuracy: 0.1571 - F1: 0.1068
sub_7:Test (Best Model) - Loss: 1.7253 - Accuracy: 0.2143 - F1: 0.1787
sub_5:Test (Best Model) - Loss: 1.8365 - Accuracy: 0.1905 - F1: 0.1439
sub_14:Test (Best Model) - Loss: 1.7515 - Accuracy: 0.2381 - F1: 0.2164
sub_8:Test (Best Model) - Loss: 1.6145 - Accuracy: 0.2952 - F1: 0.2657
sub_11:Test (Best Model) - Loss: 1.7088 - Accuracy: 0.2190 - F1: 0.2009
sub_6:Test (Best Model) - Loss: 1.6116 - Accuracy: 0.2667 - F1: 0.2396
sub_3:Test (Best Model) - Loss: 1.6804 - Accuracy: 0.2905 - F1: 0.2536
sub_12:Test (Best Model) - Loss: 1.8388 - Accuracy: 0.2000 - F1: 0.1626
sub_1:Test (Best Model) - Loss: 1.9202 - Accuracy: 0.1857 - F1: 0.1360
sub_13:Test (Best Model) - Loss: 1.8124 - Accuracy: 0.2190 - F1: 0.1570
sub_7:Test (Best Model) - Loss: 1.8179 - Accuracy: 0.1952 - F1: 0.1491
sub_9:Test (Best Model) - Loss: 1.7431 - Accuracy: 0.2333 - F1: 0.1680
sub_14:Test (Best Model) - Loss: 1.8772 - Accuracy: 0.1381 - F1: 0.1278
sub_2:Test (Best Model) - Loss: 1.5281 - Accuracy: 0.3619 - F1: 0.3228
sub_4:Test (Best Model) - Loss: 1.6583 - Accuracy: 0.2571 - F1: 0.1935
sub_1:Test (Best Model) - Loss: 1.7735 - Accuracy: 0.2286 - F1: 0.1921
sub_10:Test (Best Model) - Loss: 1.6776 - Accuracy: 0.2333 - F1: 0.2034
sub_14:Test (Best Model) - Loss: 1.7259 - Accuracy: 0.2143 - F1: 0.1680
sub_2:Test (Best Model) - Loss: 1.6616 - Accuracy: 0.2000 - F1: 0.1605
sub_4:Test (Best Model) - Loss: 1.8676 - Accuracy: 0.1905 - F1: 0.1393
sub_12:Test (Best Model) - Loss: 1.5323 - Accuracy: 0.2952 - F1: 0.2999
sub_13:Test (Best Model) - Loss: 1.6841 - Accuracy: 0.2714 - F1: 0.1945
sub_7:Test (Best Model) - Loss: 1.6874 - Accuracy: 0.1905 - F1: 0.1817
sub_8:Test (Best Model) - Loss: 1.3917 - Accuracy: 0.4238 - F1: 0.3909
sub_9:Test (Best Model) - Loss: 1.5778 - Accuracy: 0.2952 - F1: 0.2800
sub_5:Test (Best Model) - Loss: 1.6686 - Accuracy: 0.2048 - F1: 0.1283
sub_4:Test (Best Model) - Loss: 1.8519 - Accuracy: 0.2476 - F1: 0.1929
sub_14:Test (Best Model) - Loss: 1.7314 - Accuracy: 0.1571 - F1: 0.1338
sub_7:Test (Best Model) - Loss: 1.7081 - Accuracy: 0.2048 - F1: 0.1883
sub_13:Test (Best Model) - Loss: 1.6186 - Accuracy: 0.2000 - F1: 0.1645
sub_9:Test (Best Model) - Loss: 1.8740 - Accuracy: 0.1857 - F1: 0.1096
sub_11:Test (Best Model) - Loss: 1.3533 - Accuracy: 0.4571 - F1: 0.3884
sub_6:Test (Best Model) - Loss: 1.6143 - Accuracy: 0.2429 - F1: 0.2323
sub_3:Test (Best Model) - Loss: 1.6651 - Accuracy: 0.1952 - F1: 0.1744
sub_10:Test (Best Model) - Loss: 1.9157 - Accuracy: 0.1762 - F1: 0.1118
sub_2:Test (Best Model) - Loss: 1.4606 - Accuracy: 0.3333 - F1: 0.3322
sub_13:Test (Best Model) - Loss: 1.7183 - Accuracy: 0.2286 - F1: 0.1740
sub_6:Test (Best Model) - Loss: 1.5752 - Accuracy: 0.2619 - F1: 0.2657
sub_11:Test (Best Model) - Loss: 1.6786 - Accuracy: 0.2762 - F1: 0.2360
sub_5:Test (Best Model) - Loss: 1.6090 - Accuracy: 0.2143 - F1: 0.1983
sub_4:Test (Best Model) - Loss: 1.6953 - Accuracy: 0.2238 - F1: 0.1951
sub_8:Test (Best Model) - Loss: 1.4857 - Accuracy: 0.3810 - F1: 0.3573
sub_3:Test (Best Model) - Loss: 1.6924 - Accuracy: 0.2524 - F1: 0.2002
sub_1:Test (Best Model) - Loss: 1.6056 - Accuracy: 0.2667 - F1: 0.2143
sub_10:Test (Best Model) - Loss: 1.7291 - Accuracy: 0.1857 - F1: 0.1137
sub_4:Test (Best Model) - Loss: 1.7973 - Accuracy: 0.1619 - F1: 0.1279
sub_5:Test (Best Model) - Loss: 1.6710 - Accuracy: 0.2286 - F1: 0.2023
sub_12:Test (Best Model) - Loss: 1.5362 - Accuracy: 0.2952 - F1: 0.2597
sub_8:Test (Best Model) - Loss: 1.6141 - Accuracy: 0.2238 - F1: 0.2202
sub_10:Test (Best Model) - Loss: 1.6652 - Accuracy: 0.2000 - F1: 0.1570
sub_12:Test (Best Model) - Loss: 1.4984 - Accuracy: 0.3571 - F1: 0.3336
sub_11:Test (Best Model) - Loss: 1.5982 - Accuracy: 0.2381 - F1: 0.2301
sub_9:Test (Best Model) - Loss: 1.6253 - Accuracy: 0.2619 - F1: 0.2347
sub_1:Test (Best Model) - Loss: 1.5693 - Accuracy: 0.3048 - F1: 0.2793
sub_12:Test (Best Model) - Loss: 1.6551 - Accuracy: 0.2381 - F1: 0.1833
sub_3:Test (Best Model) - Loss: 1.6610 - Accuracy: 0.2476 - F1: 0.1763
sub_8:Test (Best Model) - Loss: 1.5527 - Accuracy: 0.3619 - F1: 0.3469
sub_2:Test (Best Model) - Loss: 1.4416 - Accuracy: 0.4095 - F1: 0.4056
sub_12:Test (Best Model) - Loss: 1.6037 - Accuracy: 0.2429 - F1: 0.2189
sub_4:Test (Best Model) - Loss: 1.5782 - Accuracy: 0.2905 - F1: 0.2673
sub_9:Test (Best Model) - Loss: 1.7052 - Accuracy: 0.2476 - F1: 0.1814
sub_11:Test (Best Model) - Loss: 1.5599 - Accuracy: 0.2524 - F1: 0.2486
sub_5:Test (Best Model) - Loss: 1.6318 - Accuracy: 0.2190 - F1: 0.2069
sub_10:Test (Best Model) - Loss: 1.6359 - Accuracy: 0.2762 - F1: 0.2178
sub_11:Test (Best Model) - Loss: 1.8481 - Accuracy: 0.1905 - F1: 0.1488
sub_8:Test (Best Model) - Loss: 1.9192 - Accuracy: 0.1571 - F1: 0.1089
sub_1:Test (Best Model) - Loss: 1.5949 - Accuracy: 0.2714 - F1: 0.2172
sub_11:Test (Best Model) - Loss: 1.6226 - Accuracy: 0.2333 - F1: 0.2119
sub_12:Test (Best Model) - Loss: 1.6075 - Accuracy: 0.2619 - F1: 0.1833
sub_5:Test (Best Model) - Loss: 1.6962 - Accuracy: 0.2048 - F1: 0.1879
sub_2:Test (Best Model) - Loss: 1.5709 - Accuracy: 0.3524 - F1: 0.3336
sub_9:Test (Best Model) - Loss: 1.5017 - Accuracy: 0.3429 - F1: 0.3433
sub_5:Test (Best Model) - Loss: 1.6679 - Accuracy: 0.2810 - F1: 0.2485
sub_5:Test (Best Model) - Loss: 1.7052 - Accuracy: 0.2571 - F1: 0.2341
sub_11:Test (Best Model) - Loss: 1.6146 - Accuracy: 0.3143 - F1: 0.2505
sub_8:Test (Best Model) - Loss: 1.5210 - Accuracy: 0.3476 - F1: 0.3208
sub_2:Test (Best Model) - Loss: 1.5957 - Accuracy: 0.1857 - F1: 0.1806
sub_9:Test (Best Model) - Loss: 1.4808 - Accuracy: 0.3571 - F1: 0.3617
sub_2:Test (Best Model) - Loss: 1.7667 - Accuracy: 0.2429 - F1: 0.2131
sub_2:Test (Best Model) - Loss: 1.6862 - Accuracy: 0.2524 - F1: 0.1832
sub_5:Test (Best Model) - Loss: 1.6344 - Accuracy: 0.2667 - F1: 0.2177
sub_8:Test (Best Model) - Loss: 1.6508 - Accuracy: 0.2190 - F1: 0.1604
sub_11:Test (Best Model) - Loss: 1.4988 - Accuracy: 0.3524 - F1: 0.3515
sub_8:Test (Best Model) - Loss: 1.7032 - Accuracy: 0.1762 - F1: 0.1469
sub_11:Test (Best Model) - Loss: 1.4170 - Accuracy: 0.4333 - F1: 0.4032
sub_8:Test (Best Model) - Loss: 1.5441 - Accuracy: 0.3429 - F1: 0.3086

=== Summary Results ===

acc: 23.85 ± 2.68
F1: 20.05 ± 3.00
acc-in: 28.16 ± 3.77
F1-in: 24.82 ± 3.95
