lr: 1e-06
sub_1:Test (Best Model) - Loss: 1.5684 - Accuracy: 0.2762 - F1: 0.2476
sub_1:Test (Best Model) - Loss: 1.5739 - Accuracy: 0.3381 - F1: 0.3072
sub_1:Test (Best Model) - Loss: 1.5648 - Accuracy: 0.2952 - F1: 0.2736
sub_1:Test (Best Model) - Loss: 1.5619 - Accuracy: 0.2524 - F1: 0.2326
sub_1:Test (Best Model) - Loss: 1.5923 - Accuracy: 0.2571 - F1: 0.2398
sub_1:Test (Best Model) - Loss: 1.5559 - Accuracy: 0.2905 - F1: 0.2992
sub_1:Test (Best Model) - Loss: 1.5697 - Accuracy: 0.2905 - F1: 0.2968
sub_1:Test (Best Model) - Loss: 1.5223 - Accuracy: 0.3286 - F1: 0.3236
sub_1:Test (Best Model) - Loss: 1.4949 - Accuracy: 0.3095 - F1: 0.3261
sub_1:Test (Best Model) - Loss: 1.5604 - Accuracy: 0.3000 - F1: 0.3134
sub_1:Test (Best Model) - Loss: 1.5213 - Accuracy: 0.2905 - F1: 0.2811
sub_1:Test (Best Model) - Loss: 1.5252 - Accuracy: 0.2905 - F1: 0.2833
sub_1:Test (Best Model) - Loss: 1.5520 - Accuracy: 0.2952 - F1: 0.2909
sub_1:Test (Best Model) - Loss: 1.5496 - Accuracy: 0.2810 - F1: 0.2850
sub_1:Test (Best Model) - Loss: 1.5628 - Accuracy: 0.2905 - F1: 0.2877
sub_2:Test (Best Model) - Loss: 1.5362 - Accuracy: 0.2810 - F1: 0.2547
sub_2:Test (Best Model) - Loss: 1.5500 - Accuracy: 0.2286 - F1: 0.1862
sub_2:Test (Best Model) - Loss: 1.5706 - Accuracy: 0.2238 - F1: 0.2156
sub_2:Test (Best Model) - Loss: 1.5491 - Accuracy: 0.2381 - F1: 0.1979
sub_2:Test (Best Model) - Loss: 1.5624 - Accuracy: 0.2810 - F1: 0.2515
sub_2:Test (Best Model) - Loss: 1.5560 - Accuracy: 0.2238 - F1: 0.1950
sub_2:Test (Best Model) - Loss: 1.5675 - Accuracy: 0.2190 - F1: 0.2171
sub_2:Test (Best Model) - Loss: 1.5483 - Accuracy: 0.2905 - F1: 0.2675
sub_2:Test (Best Model) - Loss: 1.5422 - Accuracy: 0.2333 - F1: 0.2113
sub_2:Test (Best Model) - Loss: 1.5593 - Accuracy: 0.2571 - F1: 0.2252
sub_2:Test (Best Model) - Loss: 1.5456 - Accuracy: 0.2286 - F1: 0.2173
sub_2:Test (Best Model) - Loss: 1.5641 - Accuracy: 0.2667 - F1: 0.2674
sub_2:Test (Best Model) - Loss: 1.5667 - Accuracy: 0.2762 - F1: 0.2684
sub_2:Test (Best Model) - Loss: 1.5538 - Accuracy: 0.2143 - F1: 0.1998
sub_2:Test (Best Model) - Loss: 1.5542 - Accuracy: 0.2429 - F1: 0.2442
sub_3:Test (Best Model) - Loss: 1.5812 - Accuracy: 0.2381 - F1: 0.1687
sub_3:Test (Best Model) - Loss: 1.5812 - Accuracy: 0.2476 - F1: 0.1759
sub_3:Test (Best Model) - Loss: 1.5792 - Accuracy: 0.2667 - F1: 0.2096
sub_3:Test (Best Model) - Loss: 1.5893 - Accuracy: 0.2857 - F1: 0.2304
sub_3:Test (Best Model) - Loss: 1.5970 - Accuracy: 0.2238 - F1: 0.1423
sub_3:Test (Best Model) - Loss: 1.5764 - Accuracy: 0.2429 - F1: 0.2235
sub_3:Test (Best Model) - Loss: 1.5519 - Accuracy: 0.2571 - F1: 0.2326
sub_3:Test (Best Model) - Loss: 1.5799 - Accuracy: 0.2810 - F1: 0.2619
sub_3:Test (Best Model) - Loss: 1.5789 - Accuracy: 0.3000 - F1: 0.2760
sub_3:Test (Best Model) - Loss: 1.5552 - Accuracy: 0.2810 - F1: 0.2622
sub_3:Test (Best Model) - Loss: 1.5588 - Accuracy: 0.3048 - F1: 0.3040
sub_3:Test (Best Model) - Loss: 1.5534 - Accuracy: 0.3667 - F1: 0.3701
sub_3:Test (Best Model) - Loss: 1.5731 - Accuracy: 0.2714 - F1: 0.2839
sub_3:Test (Best Model) - Loss: 1.5388 - Accuracy: 0.3095 - F1: 0.3124
sub_3:Test (Best Model) - Loss: 1.5736 - Accuracy: 0.2952 - F1: 0.3032
sub_4:Test (Best Model) - Loss: 1.5966 - Accuracy: 0.2571 - F1: 0.2337
sub_4:Test (Best Model) - Loss: 1.5891 - Accuracy: 0.2190 - F1: 0.1957
sub_4:Test (Best Model) - Loss: 1.6059 - Accuracy: 0.2143 - F1: 0.1948
sub_4:Test (Best Model) - Loss: 1.5941 - Accuracy: 0.2048 - F1: 0.1971
sub_4:Test (Best Model) - Loss: 1.5840 - Accuracy: 0.2381 - F1: 0.1933
sub_4:Test (Best Model) - Loss: 1.5782 - Accuracy: 0.2810 - F1: 0.2795
sub_4:Test (Best Model) - Loss: 1.5679 - Accuracy: 0.2429 - F1: 0.2313
sub_4:Test (Best Model) - Loss: 1.5869 - Accuracy: 0.2429 - F1: 0.2386
sub_4:Test (Best Model) - Loss: 1.5692 - Accuracy: 0.2524 - F1: 0.2435
sub_4:Test (Best Model) - Loss: 1.5894 - Accuracy: 0.2810 - F1: 0.2820
sub_4:Test (Best Model) - Loss: 1.5970 - Accuracy: 0.2333 - F1: 0.2152
sub_4:Test (Best Model) - Loss: 1.5766 - Accuracy: 0.2619 - F1: 0.2393
sub_4:Test (Best Model) - Loss: 1.5792 - Accuracy: 0.2429 - F1: 0.2100
sub_4:Test (Best Model) - Loss: 1.5935 - Accuracy: 0.2333 - F1: 0.2152
sub_4:Test (Best Model) - Loss: 1.5868 - Accuracy: 0.2381 - F1: 0.2193
sub_5:Test (Best Model) - Loss: 1.5837 - Accuracy: 0.2571 - F1: 0.2530
sub_5:Test (Best Model) - Loss: 1.5896 - Accuracy: 0.2048 - F1: 0.1873
sub_5:Test (Best Model) - Loss: 1.5491 - Accuracy: 0.2810 - F1: 0.2635
sub_5:Test (Best Model) - Loss: 1.5860 - Accuracy: 0.2000 - F1: 0.1762
sub_5:Test (Best Model) - Loss: 1.5677 - Accuracy: 0.2286 - F1: 0.2159
sub_5:Test (Best Model) - Loss: 1.5808 - Accuracy: 0.2810 - F1: 0.2522
sub_5:Test (Best Model) - Loss: 1.5899 - Accuracy: 0.2714 - F1: 0.2434
sub_5:Test (Best Model) - Loss: 1.5669 - Accuracy: 0.3000 - F1: 0.2502
sub_5:Test (Best Model) - Loss: 1.5561 - Accuracy: 0.2810 - F1: 0.2508
sub_5:Test (Best Model) - Loss: 1.5813 - Accuracy: 0.2952 - F1: 0.2780
sub_5:Test (Best Model) - Loss: 1.5487 - Accuracy: 0.3000 - F1: 0.3018
sub_5:Test (Best Model) - Loss: 1.5768 - Accuracy: 0.2381 - F1: 0.2474
sub_5:Test (Best Model) - Loss: 1.5790 - Accuracy: 0.2286 - F1: 0.2143
sub_5:Test (Best Model) - Loss: 1.5507 - Accuracy: 0.2476 - F1: 0.2503
sub_5:Test (Best Model) - Loss: 1.5415 - Accuracy: 0.3000 - F1: 0.3067
sub_6:Test (Best Model) - Loss: 1.6240 - Accuracy: 0.1714 - F1: 0.1672
sub_6:Test (Best Model) - Loss: 1.6133 - Accuracy: 0.2095 - F1: 0.2073
sub_6:Test (Best Model) - Loss: 1.6012 - Accuracy: 0.2619 - F1: 0.2636
sub_6:Test (Best Model) - Loss: 1.6063 - Accuracy: 0.2476 - F1: 0.2434
sub_6:Test (Best Model) - Loss: 1.5993 - Accuracy: 0.2571 - F1: 0.2466
sub_6:Test (Best Model) - Loss: 1.6397 - Accuracy: 0.2286 - F1: 0.2310
sub_6:Test (Best Model) - Loss: 1.6227 - Accuracy: 0.2238 - F1: 0.2162
sub_6:Test (Best Model) - Loss: 1.6108 - Accuracy: 0.2667 - F1: 0.2498
sub_6:Test (Best Model) - Loss: 1.6177 - Accuracy: 0.1714 - F1: 0.1656
sub_6:Test (Best Model) - Loss: 1.5798 - Accuracy: 0.2762 - F1: 0.2761
sub_6:Test (Best Model) - Loss: 1.6123 - Accuracy: 0.2333 - F1: 0.2277
sub_6:Test (Best Model) - Loss: 1.6170 - Accuracy: 0.2000 - F1: 0.1976
sub_6:Test (Best Model) - Loss: 1.6028 - Accuracy: 0.2619 - F1: 0.2602
sub_6:Test (Best Model) - Loss: 1.6132 - Accuracy: 0.2095 - F1: 0.2072
sub_6:Test (Best Model) - Loss: 1.6133 - Accuracy: 0.2238 - F1: 0.2187
sub_7:Test (Best Model) - Loss: 1.6358 - Accuracy: 0.1762 - F1: 0.1643
sub_7:Test (Best Model) - Loss: 1.6214 - Accuracy: 0.1905 - F1: 0.1780
sub_7:Test (Best Model) - Loss: 1.6175 - Accuracy: 0.2429 - F1: 0.2379
sub_7:Test (Best Model) - Loss: 1.6199 - Accuracy: 0.2143 - F1: 0.2055
sub_7:Test (Best Model) - Loss: 1.6242 - Accuracy: 0.1857 - F1: 0.1843
sub_7:Test (Best Model) - Loss: 1.6073 - Accuracy: 0.2095 - F1: 0.1995
sub_7:Test (Best Model) - Loss: 1.5963 - Accuracy: 0.2857 - F1: 0.2837
sub_7:Test (Best Model) - Loss: 1.6241 - Accuracy: 0.1905 - F1: 0.1782
sub_7:Test (Best Model) - Loss: 1.6256 - Accuracy: 0.1952 - F1: 0.1843
sub_7:Test (Best Model) - Loss: 1.6203 - Accuracy: 0.2190 - F1: 0.2116
sub_7:Test (Best Model) - Loss: 1.5978 - Accuracy: 0.2619 - F1: 0.2357
sub_7:Test (Best Model) - Loss: 1.5982 - Accuracy: 0.1952 - F1: 0.1922
sub_7:Test (Best Model) - Loss: 1.6152 - Accuracy: 0.2286 - F1: 0.2269
sub_7:Test (Best Model) - Loss: 1.6140 - Accuracy: 0.2000 - F1: 0.1803
sub_7:Test (Best Model) - Loss: 1.6003 - Accuracy: 0.2381 - F1: 0.2325
sub_8:Test (Best Model) - Loss: 1.5018 - Accuracy: 0.3524 - F1: 0.3556
sub_8:Test (Best Model) - Loss: 1.4954 - Accuracy: 0.3524 - F1: 0.3490
sub_8:Test (Best Model) - Loss: 1.4993 - Accuracy: 0.3476 - F1: 0.3389
sub_8:Test (Best Model) - Loss: 1.5762 - Accuracy: 0.2286 - F1: 0.2338
sub_8:Test (Best Model) - Loss: 1.4900 - Accuracy: 0.3857 - F1: 0.3873
sub_8:Test (Best Model) - Loss: 1.4947 - Accuracy: 0.3619 - F1: 0.3766
sub_8:Test (Best Model) - Loss: 1.5431 - Accuracy: 0.2619 - F1: 0.2713
sub_8:Test (Best Model) - Loss: 1.5442 - Accuracy: 0.2619 - F1: 0.2649
sub_8:Test (Best Model) - Loss: 1.5230 - Accuracy: 0.2762 - F1: 0.2939
sub_8:Test (Best Model) - Loss: 1.4691 - Accuracy: 0.3524 - F1: 0.3694
sub_8:Test (Best Model) - Loss: 1.5410 - Accuracy: 0.2667 - F1: 0.2755
sub_8:Test (Best Model) - Loss: 1.5502 - Accuracy: 0.2619 - F1: 0.2694
sub_8:Test (Best Model) - Loss: 1.5504 - Accuracy: 0.2524 - F1: 0.2532
sub_8:Test (Best Model) - Loss: 1.5874 - Accuracy: 0.2000 - F1: 0.1897
sub_8:Test (Best Model) - Loss: 1.5799 - Accuracy: 0.1952 - F1: 0.1836
sub_9:Test (Best Model) - Loss: 1.5683 - Accuracy: 0.2619 - F1: 0.2544
sub_9:Test (Best Model) - Loss: 1.5655 - Accuracy: 0.2762 - F1: 0.2561
sub_9:Test (Best Model) - Loss: 1.5756 - Accuracy: 0.2810 - F1: 0.2651
sub_9:Test (Best Model) - Loss: 1.5653 - Accuracy: 0.2857 - F1: 0.2595
sub_9:Test (Best Model) - Loss: 1.5793 - Accuracy: 0.2571 - F1: 0.2398
sub_9:Test (Best Model) - Loss: 1.5801 - Accuracy: 0.2333 - F1: 0.2329
sub_9:Test (Best Model) - Loss: 1.5945 - Accuracy: 0.2476 - F1: 0.2488
sub_9:Test (Best Model) - Loss: 1.5946 - Accuracy: 0.2667 - F1: 0.2653
sub_9:Test (Best Model) - Loss: 1.5940 - Accuracy: 0.2381 - F1: 0.2406
sub_9:Test (Best Model) - Loss: 1.6047 - Accuracy: 0.2571 - F1: 0.2525
sub_9:Test (Best Model) - Loss: 1.6040 - Accuracy: 0.2333 - F1: 0.2287
sub_9:Test (Best Model) - Loss: 1.5688 - Accuracy: 0.3048 - F1: 0.3034
sub_9:Test (Best Model) - Loss: 1.5796 - Accuracy: 0.2524 - F1: 0.2654
sub_9:Test (Best Model) - Loss: 1.5820 - Accuracy: 0.1952 - F1: 0.2022
sub_9:Test (Best Model) - Loss: 1.5711 - Accuracy: 0.2286 - F1: 0.2297
sub_10:Test (Best Model) - Loss: 1.6265 - Accuracy: 0.2000 - F1: 0.1954
sub_10:Test (Best Model) - Loss: 1.5973 - Accuracy: 0.2524 - F1: 0.2492
sub_10:Test (Best Model) - Loss: 1.6222 - Accuracy: 0.2048 - F1: 0.2047
sub_10:Test (Best Model) - Loss: 1.6313 - Accuracy: 0.1952 - F1: 0.1917
sub_10:Test (Best Model) - Loss: 1.6155 - Accuracy: 0.2619 - F1: 0.2631
sub_10:Test (Best Model) - Loss: 1.6118 - Accuracy: 0.2095 - F1: 0.2127
sub_10:Test (Best Model) - Loss: 1.5913 - Accuracy: 0.2667 - F1: 0.2650
sub_10:Test (Best Model) - Loss: 1.5976 - Accuracy: 0.2429 - F1: 0.2411
sub_10:Test (Best Model) - Loss: 1.5881 - Accuracy: 0.2714 - F1: 0.2690
sub_10:Test (Best Model) - Loss: 1.6092 - Accuracy: 0.1857 - F1: 0.1873
sub_10:Test (Best Model) - Loss: 1.6208 - Accuracy: 0.2000 - F1: 0.2007
sub_10:Test (Best Model) - Loss: 1.6117 - Accuracy: 0.2571 - F1: 0.2542
sub_10:Test (Best Model) - Loss: 1.6055 - Accuracy: 0.2667 - F1: 0.2500
sub_10:Test (Best Model) - Loss: 1.6307 - Accuracy: 0.2000 - F1: 0.1969
sub_10:Test (Best Model) - Loss: 1.6253 - Accuracy: 0.2286 - F1: 0.2355
sub_11:Test (Best Model) - Loss: 1.6053 - Accuracy: 0.2190 - F1: 0.2064
sub_11:Test (Best Model) - Loss: 1.6152 - Accuracy: 0.1810 - F1: 0.1856
sub_11:Test (Best Model) - Loss: 1.6102 - Accuracy: 0.2143 - F1: 0.1989
sub_11:Test (Best Model) - Loss: 1.6121 - Accuracy: 0.2286 - F1: 0.2114
sub_11:Test (Best Model) - Loss: 1.6056 - Accuracy: 0.2143 - F1: 0.2078
sub_11:Test (Best Model) - Loss: 1.5999 - Accuracy: 0.2524 - F1: 0.2361
sub_11:Test (Best Model) - Loss: 1.5934 - Accuracy: 0.2524 - F1: 0.2518
sub_11:Test (Best Model) - Loss: 1.5873 - Accuracy: 0.2571 - F1: 0.2331
sub_11:Test (Best Model) - Loss: 1.5798 - Accuracy: 0.2476 - F1: 0.2507
sub_11:Test (Best Model) - Loss: 1.5888 - Accuracy: 0.2333 - F1: 0.2314
sub_11:Test (Best Model) - Loss: 1.6065 - Accuracy: 0.2190 - F1: 0.2177
sub_11:Test (Best Model) - Loss: 1.5821 - Accuracy: 0.2810 - F1: 0.2655
sub_11:Test (Best Model) - Loss: 1.6171 - Accuracy: 0.2143 - F1: 0.1879
sub_11:Test (Best Model) - Loss: 1.6150 - Accuracy: 0.2333 - F1: 0.2289
sub_11:Test (Best Model) - Loss: 1.5936 - Accuracy: 0.2190 - F1: 0.2209
sub_12:Test (Best Model) - Loss: 1.5892 - Accuracy: 0.2810 - F1: 0.2811
sub_12:Test (Best Model) - Loss: 1.5767 - Accuracy: 0.2476 - F1: 0.2452
sub_12:Test (Best Model) - Loss: 1.5771 - Accuracy: 0.2905 - F1: 0.2798
sub_12:Test (Best Model) - Loss: 1.5721 - Accuracy: 0.2714 - F1: 0.2666
sub_12:Test (Best Model) - Loss: 1.5781 - Accuracy: 0.3095 - F1: 0.3025
sub_12:Test (Best Model) - Loss: 1.5562 - Accuracy: 0.3048 - F1: 0.2602
sub_12:Test (Best Model) - Loss: 1.5752 - Accuracy: 0.2476 - F1: 0.2186
sub_12:Test (Best Model) - Loss: 1.5899 - Accuracy: 0.2476 - F1: 0.2432
sub_12:Test (Best Model) - Loss: 1.5765 - Accuracy: 0.2905 - F1: 0.2800
sub_12:Test (Best Model) - Loss: 1.5675 - Accuracy: 0.3000 - F1: 0.2774
sub_12:Test (Best Model) - Loss: 1.5956 - Accuracy: 0.2286 - F1: 0.2310
sub_12:Test (Best Model) - Loss: 1.6155 - Accuracy: 0.2238 - F1: 0.2343
sub_12:Test (Best Model) - Loss: 1.5838 - Accuracy: 0.2381 - F1: 0.2442
sub_12:Test (Best Model) - Loss: 1.5914 - Accuracy: 0.2238 - F1: 0.2316
sub_12:Test (Best Model) - Loss: 1.6012 - Accuracy: 0.2381 - F1: 0.2473
sub_13:Test (Best Model) - Loss: 1.5949 - Accuracy: 0.2238 - F1: 0.2105
sub_13:Test (Best Model) - Loss: 1.5968 - Accuracy: 0.2476 - F1: 0.2306
sub_13:Test (Best Model) - Loss: 1.5917 - Accuracy: 0.2667 - F1: 0.2362
sub_13:Test (Best Model) - Loss: 1.5932 - Accuracy: 0.2619 - F1: 0.2515
sub_13:Test (Best Model) - Loss: 1.5968 - Accuracy: 0.2190 - F1: 0.2027
sub_13:Test (Best Model) - Loss: 1.5922 - Accuracy: 0.3000 - F1: 0.3020
sub_13:Test (Best Model) - Loss: 1.5850 - Accuracy: 0.2190 - F1: 0.2062
sub_13:Test (Best Model) - Loss: 1.5989 - Accuracy: 0.2333 - F1: 0.2172
sub_13:Test (Best Model) - Loss: 1.5848 - Accuracy: 0.2571 - F1: 0.2518
sub_13:Test (Best Model) - Loss: 1.5792 - Accuracy: 0.2476 - F1: 0.2434
sub_13:Test (Best Model) - Loss: 1.5963 - Accuracy: 0.2381 - F1: 0.2306
sub_13:Test (Best Model) - Loss: 1.5898 - Accuracy: 0.2857 - F1: 0.2654
sub_13:Test (Best Model) - Loss: 1.5915 - Accuracy: 0.2238 - F1: 0.2076
sub_13:Test (Best Model) - Loss: 1.5737 - Accuracy: 0.2952 - F1: 0.2868
sub_13:Test (Best Model) - Loss: 1.5912 - Accuracy: 0.2524 - F1: 0.2420
sub_14:Test (Best Model) - Loss: 1.5897 - Accuracy: 0.2762 - F1: 0.2563
sub_14:Test (Best Model) - Loss: 1.5821 - Accuracy: 0.2333 - F1: 0.2010
sub_14:Test (Best Model) - Loss: 1.5507 - Accuracy: 0.2952 - F1: 0.2842
sub_14:Test (Best Model) - Loss: 1.5687 - Accuracy: 0.2381 - F1: 0.2362
sub_14:Test (Best Model) - Loss: 1.6009 - Accuracy: 0.2381 - F1: 0.2067
sub_14:Test (Best Model) - Loss: 1.5483 - Accuracy: 0.2571 - F1: 0.2162
sub_14:Test (Best Model) - Loss: 1.5521 - Accuracy: 0.2524 - F1: 0.2177
sub_14:Test (Best Model) - Loss: 1.5635 - Accuracy: 0.2429 - F1: 0.2114
sub_14:Test (Best Model) - Loss: 1.5574 - Accuracy: 0.2952 - F1: 0.2674
sub_14:Test (Best Model) - Loss: 1.5649 - Accuracy: 0.2810 - F1: 0.2595
sub_14:Test (Best Model) - Loss: 1.5857 - Accuracy: 0.2238 - F1: 0.1952
sub_14:Test (Best Model) - Loss: 1.5835 - Accuracy: 0.2476 - F1: 0.2017
sub_14:Test (Best Model) - Loss: 1.5905 - Accuracy: 0.2476 - F1: 0.2150
sub_14:Test (Best Model) - Loss: 1.5998 - Accuracy: 0.2048 - F1: 0.1624
sub_14:Test (Best Model) - Loss: 1.5987 - Accuracy: 0.2286 - F1: 0.1914

=== Summary Results ===

acc: 25.27 ± 2.22
F1: 24.13 ± 2.39
acc-in: 28.87 ± 2.21
F1-in: 27.87 ± 2.50
