lr: 0.0001
sub_1:Test (Best Model) - Loss: 0.5502 - Accuracy: 0.2000 - F1: 0.1125
sub_1:Test (Best Model) - Loss: 0.5366 - Accuracy: 0.1857 - F1: 0.1111
sub_1:Test (Best Model) - Loss: 0.5367 - Accuracy: 0.2000 - F1: 0.0683
sub_1:Test (Best Model) - Loss: 0.5362 - Accuracy: 0.2571 - F1: 0.1525
sub_1:Test (Best Model) - Loss: 0.5371 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 0.5371 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 0.5373 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 0.5376 - Accuracy: 0.2143 - F1: 0.1149
sub_1:Test (Best Model) - Loss: 0.5369 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 0.5368 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 0.5340 - Accuracy: 0.2714 - F1: 0.1613
sub_1:Test (Best Model) - Loss: 0.5374 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 0.5372 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 0.5365 - Accuracy: 0.2000 - F1: 0.0675
sub_1:Test (Best Model) - Loss: 0.5371 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 0.5702 - Accuracy: 0.3429 - F1: 0.2957
sub_2:Test (Best Model) - Loss: 0.5254 - Accuracy: 0.2429 - F1: 0.1269
sub_2:Test (Best Model) - Loss: 0.4297 - Accuracy: 0.4143 - F1: 0.3337
sub_2:Test (Best Model) - Loss: 0.5246 - Accuracy: 0.2714 - F1: 0.1481
sub_2:Test (Best Model) - Loss: 0.5206 - Accuracy: 0.3143 - F1: 0.2362
sub_2:Test (Best Model) - Loss: 0.4988 - Accuracy: 0.3286 - F1: 0.2636
sub_2:Test (Best Model) - Loss: 0.4843 - Accuracy: 0.3143 - F1: 0.2228
sub_2:Test (Best Model) - Loss: 0.5308 - Accuracy: 0.3000 - F1: 0.2272
sub_2:Test (Best Model) - Loss: 0.4788 - Accuracy: 0.3857 - F1: 0.3493
sub_2:Test (Best Model) - Loss: 0.4976 - Accuracy: 0.2857 - F1: 0.1989
sub_2:Test (Best Model) - Loss: 0.4238 - Accuracy: 0.4000 - F1: 0.3029
sub_2:Test (Best Model) - Loss: 0.4781 - Accuracy: 0.3571 - F1: 0.2666
sub_2:Test (Best Model) - Loss: 0.5255 - Accuracy: 0.3286 - F1: 0.1918
sub_2:Test (Best Model) - Loss: 0.5193 - Accuracy: 0.3714 - F1: 0.2807
sub_2:Test (Best Model) - Loss: 0.4965 - Accuracy: 0.3571 - F1: 0.2441
sub_3:Test (Best Model) - Loss: 0.5803 - Accuracy: 0.2000 - F1: 0.1389
sub_3:Test (Best Model) - Loss: 0.4725 - Accuracy: 0.3714 - F1: 0.2588
sub_3:Test (Best Model) - Loss: 0.5375 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 0.5366 - Accuracy: 0.2286 - F1: 0.1090
sub_3:Test (Best Model) - Loss: 0.5372 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 0.5372 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 0.5375 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 0.5372 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 0.5360 - Accuracy: 0.3714 - F1: 0.2498
sub_3:Test (Best Model) - Loss: 0.5365 - Accuracy: 0.2857 - F1: 0.1609
sub_3:Test (Best Model) - Loss: 0.5372 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 0.5367 - Accuracy: 0.2286 - F1: 0.1321
sub_3:Test (Best Model) - Loss: 0.5442 - Accuracy: 0.2714 - F1: 0.1789
sub_3:Test (Best Model) - Loss: 0.5371 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 0.5385 - Accuracy: 0.2000 - F1: 0.0667
sub_4:Test (Best Model) - Loss: 0.5352 - Accuracy: 0.3429 - F1: 0.2107
sub_4:Test (Best Model) - Loss: 0.5293 - Accuracy: 0.2714 - F1: 0.1777
sub_4:Test (Best Model) - Loss: 0.5078 - Accuracy: 0.4000 - F1: 0.2366
sub_4:Test (Best Model) - Loss: 0.5015 - Accuracy: 0.3429 - F1: 0.2188
sub_4:Test (Best Model) - Loss: 0.4656 - Accuracy: 0.3857 - F1: 0.2960
sub_4:Test (Best Model) - Loss: 0.5011 - Accuracy: 0.3143 - F1: 0.2232
sub_4:Test (Best Model) - Loss: 0.8050 - Accuracy: 0.3000 - F1: 0.2632
sub_4:Test (Best Model) - Loss: 0.7043 - Accuracy: 0.3429 - F1: 0.3039
sub_4:Test (Best Model) - Loss: 0.4936 - Accuracy: 0.4286 - F1: 0.2850
sub_4:Test (Best Model) - Loss: 0.5223 - Accuracy: 0.3286 - F1: 0.2233
sub_4:Test (Best Model) - Loss: 0.5355 - Accuracy: 0.3286 - F1: 0.2072
sub_4:Test (Best Model) - Loss: 0.5138 - Accuracy: 0.3857 - F1: 0.3363
sub_4:Test (Best Model) - Loss: 0.4880 - Accuracy: 0.4143 - F1: 0.3423
sub_4:Test (Best Model) - Loss: 0.5074 - Accuracy: 0.3143 - F1: 0.1816
sub_4:Test (Best Model) - Loss: 0.4821 - Accuracy: 0.3571 - F1: 0.2620
sub_5:Test (Best Model) - Loss: 0.4858 - Accuracy: 0.3143 - F1: 0.2222
sub_5:Test (Best Model) - Loss: 0.4864 - Accuracy: 0.3857 - F1: 0.3244
sub_5:Test (Best Model) - Loss: 0.5003 - Accuracy: 0.3000 - F1: 0.2214
sub_5:Test (Best Model) - Loss: 0.5372 - Accuracy: 0.2000 - F1: 0.0667
sub_5:Test (Best Model) - Loss: 0.5371 - Accuracy: 0.2000 - F1: 0.0667
sub_5:Test (Best Model) - Loss: 0.5371 - Accuracy: 0.2000 - F1: 0.0667
sub_5:Test (Best Model) - Loss: 0.5125 - Accuracy: 0.2571 - F1: 0.1520
sub_5:Test (Best Model) - Loss: 0.4977 - Accuracy: 0.3286 - F1: 0.2118
sub_5:Test (Best Model) - Loss: 0.5400 - Accuracy: 0.3857 - F1: 0.3552
sub_5:Test (Best Model) - Loss: 0.5354 - Accuracy: 0.3429 - F1: 0.3056
sub_5:Test (Best Model) - Loss: 0.4983 - Accuracy: 0.3143 - F1: 0.2237
sub_5:Test (Best Model) - Loss: 0.5375 - Accuracy: 0.2000 - F1: 0.0667
sub_5:Test (Best Model) - Loss: 0.5274 - Accuracy: 0.2857 - F1: 0.2030
sub_5:Test (Best Model) - Loss: 0.5078 - Accuracy: 0.3571 - F1: 0.3382
sub_5:Test (Best Model) - Loss: 0.4841 - Accuracy: 0.3429 - F1: 0.3151
sub_6:Test (Best Model) - Loss: 0.5344 - Accuracy: 0.2286 - F1: 0.1534
sub_6:Test (Best Model) - Loss: 0.5367 - Accuracy: 0.1714 - F1: 0.0771
sub_6:Test (Best Model) - Loss: 0.5373 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 0.5371 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 0.5373 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 0.5371 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 0.5376 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 0.5374 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 0.5292 - Accuracy: 0.2571 - F1: 0.1565
sub_6:Test (Best Model) - Loss: 0.5333 - Accuracy: 0.2429 - F1: 0.1747
sub_6:Test (Best Model) - Loss: 0.5266 - Accuracy: 0.3000 - F1: 0.1898
sub_6:Test (Best Model) - Loss: 0.5378 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 0.5313 - Accuracy: 0.2429 - F1: 0.1239
sub_6:Test (Best Model) - Loss: 0.5364 - Accuracy: 0.2571 - F1: 0.1589
sub_6:Test (Best Model) - Loss: 0.5339 - Accuracy: 0.2143 - F1: 0.1265
sub_7:Test (Best Model) - Loss: 0.5371 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 0.5291 - Accuracy: 0.2714 - F1: 0.1699
sub_7:Test (Best Model) - Loss: 0.5299 - Accuracy: 0.2429 - F1: 0.1493
sub_7:Test (Best Model) - Loss: 0.5273 - Accuracy: 0.1429 - F1: 0.1025
sub_7:Test (Best Model) - Loss: 0.5364 - Accuracy: 0.2000 - F1: 0.0683
sub_7:Test (Best Model) - Loss: 0.5266 - Accuracy: 0.3000 - F1: 0.2229
sub_7:Test (Best Model) - Loss: 0.5374 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 0.5365 - Accuracy: 0.2286 - F1: 0.1162
sub_7:Test (Best Model) - Loss: 0.5324 - Accuracy: 0.2714 - F1: 0.1565
sub_7:Test (Best Model) - Loss: 0.5369 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 0.5605 - Accuracy: 0.2714 - F1: 0.1898
sub_7:Test (Best Model) - Loss: 0.5372 - Accuracy: 0.3000 - F1: 0.2582
sub_7:Test (Best Model) - Loss: 0.5355 - Accuracy: 0.2571 - F1: 0.1590
sub_7:Test (Best Model) - Loss: 0.5366 - Accuracy: 0.1857 - F1: 0.0818
sub_7:Test (Best Model) - Loss: 0.5370 - Accuracy: 0.2000 - F1: 0.0667
sub_8:Test (Best Model) - Loss: 0.4407 - Accuracy: 0.3714 - F1: 0.2813
sub_8:Test (Best Model) - Loss: 0.4502 - Accuracy: 0.3429 - F1: 0.2533
sub_8:Test (Best Model) - Loss: 0.4234 - Accuracy: 0.3857 - F1: 0.2538
sub_8:Test (Best Model) - Loss: 0.4313 - Accuracy: 0.3714 - F1: 0.2447
sub_8:Test (Best Model) - Loss: 0.5349 - Accuracy: 0.3714 - F1: 0.2397
sub_8:Test (Best Model) - Loss: 0.4264 - Accuracy: 0.3714 - F1: 0.2622
sub_8:Test (Best Model) - Loss: 0.4944 - Accuracy: 0.3714 - F1: 0.2140
sub_8:Test (Best Model) - Loss: 0.5299 - Accuracy: 0.4000 - F1: 0.2743
sub_8:Test (Best Model) - Loss: 0.4264 - Accuracy: 0.3714 - F1: 0.2658
sub_8:Test (Best Model) - Loss: 0.5355 - Accuracy: 0.3857 - F1: 0.2605
sub_8:Test (Best Model) - Loss: 0.5195 - Accuracy: 0.3429 - F1: 0.2636
sub_8:Test (Best Model) - Loss: 0.5345 - Accuracy: 0.3571 - F1: 0.2371
sub_8:Test (Best Model) - Loss: 0.5167 - Accuracy: 0.3714 - F1: 0.2514
sub_8:Test (Best Model) - Loss: 0.5086 - Accuracy: 0.2857 - F1: 0.1918
sub_8:Test (Best Model) - Loss: 0.5505 - Accuracy: 0.2143 - F1: 0.0941
sub_9:Test (Best Model) - Loss: 0.4851 - Accuracy: 0.3571 - F1: 0.2064
sub_9:Test (Best Model) - Loss: 0.4898 - Accuracy: 0.3857 - F1: 0.2207
sub_9:Test (Best Model) - Loss: 0.4547 - Accuracy: 0.3429 - F1: 0.2465
sub_9:Test (Best Model) - Loss: 0.5276 - Accuracy: 0.3286 - F1: 0.1937
sub_9:Test (Best Model) - Loss: 0.5216 - Accuracy: 0.3286 - F1: 0.2332
sub_9:Test (Best Model) - Loss: 0.4854 - Accuracy: 0.3429 - F1: 0.2248
sub_9:Test (Best Model) - Loss: 0.5055 - Accuracy: 0.4143 - F1: 0.3623
sub_9:Test (Best Model) - Loss: 0.4563 - Accuracy: 0.4857 - F1: 0.4765
sub_9:Test (Best Model) - Loss: 0.5238 - Accuracy: 0.3000 - F1: 0.1913
sub_9:Test (Best Model) - Loss: 0.4725 - Accuracy: 0.3714 - F1: 0.2514
sub_9:Test (Best Model) - Loss: 0.5361 - Accuracy: 0.2143 - F1: 0.0941
sub_9:Test (Best Model) - Loss: 0.5918 - Accuracy: 0.2714 - F1: 0.2226
sub_9:Test (Best Model) - Loss: 0.5363 - Accuracy: 0.2714 - F1: 0.1761
sub_9:Test (Best Model) - Loss: 0.4963 - Accuracy: 0.2857 - F1: 0.1957
sub_9:Test (Best Model) - Loss: 0.5210 - Accuracy: 0.2857 - F1: 0.1927
sub_10:Test (Best Model) - Loss: 0.5366 - Accuracy: 0.1857 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 0.5376 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 0.5365 - Accuracy: 0.3000 - F1: 0.1821
sub_10:Test (Best Model) - Loss: 0.5371 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 0.5371 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 0.5342 - Accuracy: 0.2429 - F1: 0.1749
sub_10:Test (Best Model) - Loss: 0.5375 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 0.5274 - Accuracy: 0.3429 - F1: 0.2512
sub_10:Test (Best Model) - Loss: 0.5366 - Accuracy: 0.2000 - F1: 0.1136
sub_10:Test (Best Model) - Loss: 0.5371 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 0.5435 - Accuracy: 0.2143 - F1: 0.1304
sub_10:Test (Best Model) - Loss: 0.6014 - Accuracy: 0.2143 - F1: 0.1173
sub_10:Test (Best Model) - Loss: 0.5214 - Accuracy: 0.3286 - F1: 0.2207
sub_10:Test (Best Model) - Loss: 0.5335 - Accuracy: 0.2286 - F1: 0.1934
sub_10:Test (Best Model) - Loss: 0.5316 - Accuracy: 0.2571 - F1: 0.1665
sub_11:Test (Best Model) - Loss: 0.5307 - Accuracy: 0.3714 - F1: 0.2367
sub_11:Test (Best Model) - Loss: 0.4791 - Accuracy: 0.4143 - F1: 0.3860
sub_11:Test (Best Model) - Loss: 0.4929 - Accuracy: 0.3286 - F1: 0.2144
sub_11:Test (Best Model) - Loss: 0.5372 - Accuracy: 0.2000 - F1: 0.0667
sub_11:Test (Best Model) - Loss: 0.4643 - Accuracy: 0.4571 - F1: 0.4187
sub_11:Test (Best Model) - Loss: 0.5294 - Accuracy: 0.3286 - F1: 0.1989
sub_11:Test (Best Model) - Loss: 0.4665 - Accuracy: 0.4000 - F1: 0.3324
sub_11:Test (Best Model) - Loss: 0.4802 - Accuracy: 0.3714 - F1: 0.3418
sub_11:Test (Best Model) - Loss: 0.5112 - Accuracy: 0.2857 - F1: 0.1786
sub_11:Test (Best Model) - Loss: 0.5047 - Accuracy: 0.3000 - F1: 0.1761
sub_11:Test (Best Model) - Loss: 0.4409 - Accuracy: 0.4143 - F1: 0.3927
sub_11:Test (Best Model) - Loss: 0.5359 - Accuracy: 0.2714 - F1: 0.1552
sub_11:Test (Best Model) - Loss: 0.5357 - Accuracy: 0.3143 - F1: 0.2286
sub_11:Test (Best Model) - Loss: 0.4982 - Accuracy: 0.3714 - F1: 0.2130
sub_11:Test (Best Model) - Loss: 0.5193 - Accuracy: 0.3429 - F1: 0.2334
sub_12:Test (Best Model) - Loss: 0.5371 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 0.5340 - Accuracy: 0.2143 - F1: 0.0985
sub_12:Test (Best Model) - Loss: 0.5374 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 0.5370 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 0.5334 - Accuracy: 0.2143 - F1: 0.0927
sub_12:Test (Best Model) - Loss: 0.5372 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 0.5375 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 0.5373 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 0.4902 - Accuracy: 0.2857 - F1: 0.2277
sub_12:Test (Best Model) - Loss: 0.5365 - Accuracy: 0.2143 - F1: 0.1191
sub_12:Test (Best Model) - Loss: 0.4681 - Accuracy: 0.3714 - F1: 0.3128
sub_12:Test (Best Model) - Loss: 0.5285 - Accuracy: 0.2429 - F1: 0.1252
sub_12:Test (Best Model) - Loss: 0.5365 - Accuracy: 0.2571 - F1: 0.1737
sub_12:Test (Best Model) - Loss: 0.5144 - Accuracy: 0.3286 - F1: 0.2312
sub_12:Test (Best Model) - Loss: 0.5371 - Accuracy: 0.2000 - F1: 0.0667
sub_13:Test (Best Model) - Loss: 0.5034 - Accuracy: 0.3143 - F1: 0.2969
sub_13:Test (Best Model) - Loss: 0.5274 - Accuracy: 0.2714 - F1: 0.1937
sub_13:Test (Best Model) - Loss: 0.5373 - Accuracy: 0.2000 - F1: 0.0667
sub_13:Test (Best Model) - Loss: 0.5357 - Accuracy: 0.2714 - F1: 0.1600
sub_13:Test (Best Model) - Loss: 0.5292 - Accuracy: 0.2714 - F1: 0.2088
sub_13:Test (Best Model) - Loss: 0.5099 - Accuracy: 0.3286 - F1: 0.2114
sub_13:Test (Best Model) - Loss: 0.5427 - Accuracy: 0.2143 - F1: 0.1304
sub_13:Test (Best Model) - Loss: 0.5355 - Accuracy: 0.2000 - F1: 0.1188
sub_13:Test (Best Model) - Loss: 0.5373 - Accuracy: 0.2000 - F1: 0.1279
sub_13:Test (Best Model) - Loss: 0.5364 - Accuracy: 0.2000 - F1: 0.1108
sub_13:Test (Best Model) - Loss: 0.5340 - Accuracy: 0.3571 - F1: 0.2686
sub_13:Test (Best Model) - Loss: 0.5363 - Accuracy: 0.2143 - F1: 0.1105
sub_13:Test (Best Model) - Loss: 0.5372 - Accuracy: 0.2000 - F1: 0.0667
sub_13:Test (Best Model) - Loss: 0.5371 - Accuracy: 0.2000 - F1: 0.0667
sub_13:Test (Best Model) - Loss: 0.5172 - Accuracy: 0.3286 - F1: 0.2088
sub_14:Test (Best Model) - Loss: 0.5365 - Accuracy: 0.2857 - F1: 0.1633
sub_14:Test (Best Model) - Loss: 0.5337 - Accuracy: 0.3143 - F1: 0.2537
sub_14:Test (Best Model) - Loss: 0.5101 - Accuracy: 0.3429 - F1: 0.2759
sub_14:Test (Best Model) - Loss: 0.5022 - Accuracy: 0.3714 - F1: 0.3223
sub_14:Test (Best Model) - Loss: 0.5115 - Accuracy: 0.3143 - F1: 0.2402
sub_14:Test (Best Model) - Loss: 0.4751 - Accuracy: 0.3571 - F1: 0.2603
sub_14:Test (Best Model) - Loss: 0.4814 - Accuracy: 0.3714 - F1: 0.2658
sub_14:Test (Best Model) - Loss: 0.4443 - Accuracy: 0.3714 - F1: 0.2912
sub_14:Test (Best Model) - Loss: 0.4863 - Accuracy: 0.3571 - F1: 0.2511
sub_14:Test (Best Model) - Loss: 0.5078 - Accuracy: 0.3857 - F1: 0.2661
sub_14:Test (Best Model) - Loss: 0.5372 - Accuracy: 0.2000 - F1: 0.0667
sub_14:Test (Best Model) - Loss: 0.5014 - Accuracy: 0.3286 - F1: 0.2090
sub_14:Test (Best Model) - Loss: 0.5112 - Accuracy: 0.3857 - F1: 0.2722
sub_14:Test (Best Model) - Loss: 0.5233 - Accuracy: 0.3429 - F1: 0.2611
sub_14:Test (Best Model) - Loss: 0.4836 - Accuracy: 0.3429 - F1: 0.2109

=== Summary Results ===

acc:   28.34 ± 5.44
F1:    18.02 ± 6.07
acc‑in:34.10 ± 6.73
F1‑in: 23.27 ± 8.07
