lr: 1e-06
sub_1:Test (Best Model) - Loss: 1.5601 - Accuracy: 0.3000 - F1: 0.2687
sub_1:Test (Best Model) - Loss: 1.5605 - Accuracy: 0.2857 - F1: 0.2458
sub_1:Test (Best Model) - Loss: 1.5696 - Accuracy: 0.2619 - F1: 0.2321
sub_1:Test (Best Model) - Loss: 1.5744 - Accuracy: 0.2619 - F1: 0.2437
sub_1:Test (Best Model) - Loss: 1.5746 - Accuracy: 0.3000 - F1: 0.2759
sub_1:Test (Best Model) - Loss: 1.5372 - Accuracy: 0.3143 - F1: 0.3245
sub_1:Test (Best Model) - Loss: 1.5581 - Accuracy: 0.3000 - F1: 0.3005
sub_1:Test (Best Model) - Loss: 1.5126 - Accuracy: 0.3762 - F1: 0.3804
sub_1:Test (Best Model) - Loss: 1.5123 - Accuracy: 0.3286 - F1: 0.3409
sub_1:Test (Best Model) - Loss: 1.5708 - Accuracy: 0.2810 - F1: 0.2925
sub_1:Test (Best Model) - Loss: 1.5346 - Accuracy: 0.2905 - F1: 0.2918
sub_1:Test (Best Model) - Loss: 1.5400 - Accuracy: 0.2952 - F1: 0.2921
sub_1:Test (Best Model) - Loss: 1.5349 - Accuracy: 0.2857 - F1: 0.2670
sub_1:Test (Best Model) - Loss: 1.5186 - Accuracy: 0.2952 - F1: 0.2829
sub_1:Test (Best Model) - Loss: 1.5227 - Accuracy: 0.2857 - F1: 0.2880
sub_2:Test (Best Model) - Loss: 1.5564 - Accuracy: 0.2381 - F1: 0.2078
sub_2:Test (Best Model) - Loss: 1.5554 - Accuracy: 0.2143 - F1: 0.1758
sub_2:Test (Best Model) - Loss: 1.5696 - Accuracy: 0.2429 - F1: 0.2117
sub_2:Test (Best Model) - Loss: 1.5384 - Accuracy: 0.3048 - F1: 0.2678
sub_2:Test (Best Model) - Loss: 1.5446 - Accuracy: 0.2476 - F1: 0.2132
sub_2:Test (Best Model) - Loss: 1.5586 - Accuracy: 0.2571 - F1: 0.2420
sub_2:Test (Best Model) - Loss: 1.5668 - Accuracy: 0.1905 - F1: 0.1851
sub_2:Test (Best Model) - Loss: 1.5323 - Accuracy: 0.2714 - F1: 0.2670
sub_2:Test (Best Model) - Loss: 1.5602 - Accuracy: 0.2524 - F1: 0.2232
sub_2:Test (Best Model) - Loss: 1.5534 - Accuracy: 0.2619 - F1: 0.2535
sub_2:Test (Best Model) - Loss: 1.5396 - Accuracy: 0.2238 - F1: 0.2150
sub_2:Test (Best Model) - Loss: 1.5475 - Accuracy: 0.3095 - F1: 0.2951
sub_2:Test (Best Model) - Loss: 1.5376 - Accuracy: 0.2667 - F1: 0.2460
sub_2:Test (Best Model) - Loss: 1.5411 - Accuracy: 0.2333 - F1: 0.2203
sub_2:Test (Best Model) - Loss: 1.5676 - Accuracy: 0.2190 - F1: 0.2047
sub_3:Test (Best Model) - Loss: 1.5657 - Accuracy: 0.2429 - F1: 0.1745
sub_3:Test (Best Model) - Loss: 1.5729 - Accuracy: 0.2714 - F1: 0.2067
sub_3:Test (Best Model) - Loss: 1.5790 - Accuracy: 0.2762 - F1: 0.2230
sub_3:Test (Best Model) - Loss: 1.5826 - Accuracy: 0.2619 - F1: 0.2009
sub_3:Test (Best Model) - Loss: 1.5976 - Accuracy: 0.2667 - F1: 0.2363
sub_3:Test (Best Model) - Loss: 1.5568 - Accuracy: 0.3333 - F1: 0.3182
sub_3:Test (Best Model) - Loss: 1.5642 - Accuracy: 0.3238 - F1: 0.3089
sub_3:Test (Best Model) - Loss: 1.5519 - Accuracy: 0.3095 - F1: 0.2837
sub_3:Test (Best Model) - Loss: 1.5819 - Accuracy: 0.2810 - F1: 0.2636
sub_3:Test (Best Model) - Loss: 1.5579 - Accuracy: 0.3190 - F1: 0.3049
sub_3:Test (Best Model) - Loss: 1.5742 - Accuracy: 0.2429 - F1: 0.2530
sub_3:Test (Best Model) - Loss: 1.5610 - Accuracy: 0.2714 - F1: 0.2809
sub_3:Test (Best Model) - Loss: 1.5572 - Accuracy: 0.2810 - F1: 0.2906
sub_3:Test (Best Model) - Loss: 1.5357 - Accuracy: 0.3476 - F1: 0.3537
sub_3:Test (Best Model) - Loss: 1.5741 - Accuracy: 0.2857 - F1: 0.2888
sub_4:Test (Best Model) - Loss: 1.5685 - Accuracy: 0.3095 - F1: 0.2876
sub_4:Test (Best Model) - Loss: 1.6118 - Accuracy: 0.1905 - F1: 0.1854
sub_4:Test (Best Model) - Loss: 1.6214 - Accuracy: 0.2095 - F1: 0.1949
sub_4:Test (Best Model) - Loss: 1.5875 - Accuracy: 0.2286 - F1: 0.2059
sub_4:Test (Best Model) - Loss: 1.5914 - Accuracy: 0.2143 - F1: 0.1771
sub_4:Test (Best Model) - Loss: 1.5709 - Accuracy: 0.2857 - F1: 0.2775
sub_4:Test (Best Model) - Loss: 1.5606 - Accuracy: 0.3238 - F1: 0.3145
sub_4:Test (Best Model) - Loss: 1.5622 - Accuracy: 0.2619 - F1: 0.2633
sub_4:Test (Best Model) - Loss: 1.5762 - Accuracy: 0.2429 - F1: 0.2337
sub_4:Test (Best Model) - Loss: 1.5941 - Accuracy: 0.2667 - F1: 0.2692
sub_4:Test (Best Model) - Loss: 1.5885 - Accuracy: 0.2238 - F1: 0.1974
sub_4:Test (Best Model) - Loss: 1.5856 - Accuracy: 0.2667 - F1: 0.2407
sub_4:Test (Best Model) - Loss: 1.5784 - Accuracy: 0.2619 - F1: 0.2143
sub_4:Test (Best Model) - Loss: 1.5896 - Accuracy: 0.2381 - F1: 0.2159
sub_4:Test (Best Model) - Loss: 1.5801 - Accuracy: 0.2190 - F1: 0.1959
sub_5:Test (Best Model) - Loss: 1.5749 - Accuracy: 0.2810 - F1: 0.2701
sub_5:Test (Best Model) - Loss: 1.5919 - Accuracy: 0.2762 - F1: 0.2597
sub_5:Test (Best Model) - Loss: 1.5206 - Accuracy: 0.3714 - F1: 0.3285
sub_5:Test (Best Model) - Loss: 1.5564 - Accuracy: 0.2619 - F1: 0.2519
sub_5:Test (Best Model) - Loss: 1.5645 - Accuracy: 0.2619 - F1: 0.2267
sub_5:Test (Best Model) - Loss: 1.5419 - Accuracy: 0.2952 - F1: 0.2910
sub_5:Test (Best Model) - Loss: 1.5761 - Accuracy: 0.3000 - F1: 0.2615
sub_5:Test (Best Model) - Loss: 1.5555 - Accuracy: 0.2762 - F1: 0.2561
sub_5:Test (Best Model) - Loss: 1.5474 - Accuracy: 0.3190 - F1: 0.2763
sub_5:Test (Best Model) - Loss: 1.5907 - Accuracy: 0.2571 - F1: 0.2312
sub_5:Test (Best Model) - Loss: 1.5490 - Accuracy: 0.2667 - F1: 0.2632
sub_5:Test (Best Model) - Loss: 1.5736 - Accuracy: 0.2000 - F1: 0.1689
sub_5:Test (Best Model) - Loss: 1.5574 - Accuracy: 0.2667 - F1: 0.2629
sub_5:Test (Best Model) - Loss: 1.5475 - Accuracy: 0.2714 - F1: 0.2723
sub_5:Test (Best Model) - Loss: 1.5827 - Accuracy: 0.2095 - F1: 0.2000
sub_6:Test (Best Model) - Loss: 1.6061 - Accuracy: 0.2476 - F1: 0.2421
sub_6:Test (Best Model) - Loss: 1.6109 - Accuracy: 0.2000 - F1: 0.1916
sub_6:Test (Best Model) - Loss: 1.6160 - Accuracy: 0.2048 - F1: 0.2001
sub_6:Test (Best Model) - Loss: 1.5949 - Accuracy: 0.2381 - F1: 0.2288
sub_6:Test (Best Model) - Loss: 1.6047 - Accuracy: 0.2476 - F1: 0.2434
sub_6:Test (Best Model) - Loss: 1.6339 - Accuracy: 0.2095 - F1: 0.2094
sub_6:Test (Best Model) - Loss: 1.6080 - Accuracy: 0.2190 - F1: 0.2207
sub_6:Test (Best Model) - Loss: 1.6127 - Accuracy: 0.2381 - F1: 0.2318
sub_6:Test (Best Model) - Loss: 1.5988 - Accuracy: 0.2429 - F1: 0.2369
sub_6:Test (Best Model) - Loss: 1.5801 - Accuracy: 0.3143 - F1: 0.3132
sub_6:Test (Best Model) - Loss: 1.6135 - Accuracy: 0.2476 - F1: 0.2454
sub_6:Test (Best Model) - Loss: 1.6211 - Accuracy: 0.2429 - F1: 0.2400
sub_6:Test (Best Model) - Loss: 1.6088 - Accuracy: 0.1905 - F1: 0.1897
sub_6:Test (Best Model) - Loss: 1.6152 - Accuracy: 0.2476 - F1: 0.2356
sub_6:Test (Best Model) - Loss: 1.6133 - Accuracy: 0.2381 - F1: 0.2294
sub_7:Test (Best Model) - Loss: 1.6293 - Accuracy: 0.2095 - F1: 0.2015
sub_7:Test (Best Model) - Loss: 1.6159 - Accuracy: 0.1810 - F1: 0.1736
sub_7:Test (Best Model) - Loss: 1.6264 - Accuracy: 0.2143 - F1: 0.2156
sub_7:Test (Best Model) - Loss: 1.6176 - Accuracy: 0.2381 - F1: 0.2309
sub_7:Test (Best Model) - Loss: 1.6195 - Accuracy: 0.2048 - F1: 0.1982
sub_7:Test (Best Model) - Loss: 1.6153 - Accuracy: 0.2381 - F1: 0.2249
sub_7:Test (Best Model) - Loss: 1.6029 - Accuracy: 0.2286 - F1: 0.2265
sub_7:Test (Best Model) - Loss: 1.5997 - Accuracy: 0.2143 - F1: 0.2173
sub_7:Test (Best Model) - Loss: 1.6156 - Accuracy: 0.2143 - F1: 0.2073
sub_7:Test (Best Model) - Loss: 1.6184 - Accuracy: 0.2286 - F1: 0.2169
sub_7:Test (Best Model) - Loss: 1.5978 - Accuracy: 0.2476 - F1: 0.2472
sub_7:Test (Best Model) - Loss: 1.5836 - Accuracy: 0.2333 - F1: 0.2330
sub_7:Test (Best Model) - Loss: 1.6022 - Accuracy: 0.1762 - F1: 0.1683
sub_7:Test (Best Model) - Loss: 1.6188 - Accuracy: 0.2381 - F1: 0.2214
sub_7:Test (Best Model) - Loss: 1.6072 - Accuracy: 0.2333 - F1: 0.2149
sub_8:Test (Best Model) - Loss: 1.5127 - Accuracy: 0.3381 - F1: 0.3394
sub_8:Test (Best Model) - Loss: 1.5224 - Accuracy: 0.3000 - F1: 0.3111
sub_8:Test (Best Model) - Loss: 1.5480 - Accuracy: 0.2238 - F1: 0.2379
sub_8:Test (Best Model) - Loss: 1.5445 - Accuracy: 0.3095 - F1: 0.3160
sub_8:Test (Best Model) - Loss: 1.5097 - Accuracy: 0.3095 - F1: 0.3121
sub_8:Test (Best Model) - Loss: 1.4833 - Accuracy: 0.3286 - F1: 0.3443
sub_8:Test (Best Model) - Loss: 1.5373 - Accuracy: 0.2762 - F1: 0.2873
sub_8:Test (Best Model) - Loss: 1.4868 - Accuracy: 0.3190 - F1: 0.3343
sub_8:Test (Best Model) - Loss: 1.5054 - Accuracy: 0.3048 - F1: 0.3140
sub_8:Test (Best Model) - Loss: 1.4786 - Accuracy: 0.3048 - F1: 0.3245
sub_8:Test (Best Model) - Loss: 1.5190 - Accuracy: 0.3143 - F1: 0.3318
sub_8:Test (Best Model) - Loss: 1.5281 - Accuracy: 0.2619 - F1: 0.2710
sub_8:Test (Best Model) - Loss: 1.5377 - Accuracy: 0.2667 - F1: 0.2559
sub_8:Test (Best Model) - Loss: 1.5693 - Accuracy: 0.2286 - F1: 0.2289
sub_8:Test (Best Model) - Loss: 1.5636 - Accuracy: 0.2524 - F1: 0.2596
sub_9:Test (Best Model) - Loss: 1.5866 - Accuracy: 0.2571 - F1: 0.2453
sub_9:Test (Best Model) - Loss: 1.5851 - Accuracy: 0.2952 - F1: 0.2784
sub_9:Test (Best Model) - Loss: 1.5501 - Accuracy: 0.3095 - F1: 0.2783
sub_9:Test (Best Model) - Loss: 1.5711 - Accuracy: 0.2524 - F1: 0.2401
sub_9:Test (Best Model) - Loss: 1.5607 - Accuracy: 0.3095 - F1: 0.2808
sub_9:Test (Best Model) - Loss: 1.5735 - Accuracy: 0.2762 - F1: 0.2727
sub_9:Test (Best Model) - Loss: 1.5742 - Accuracy: 0.2571 - F1: 0.2575
sub_9:Test (Best Model) - Loss: 1.5968 - Accuracy: 0.2143 - F1: 0.2126
sub_9:Test (Best Model) - Loss: 1.6075 - Accuracy: 0.2286 - F1: 0.2277
sub_9:Test (Best Model) - Loss: 1.5943 - Accuracy: 0.2000 - F1: 0.2063
sub_9:Test (Best Model) - Loss: 1.5957 - Accuracy: 0.2238 - F1: 0.2098
sub_9:Test (Best Model) - Loss: 1.5820 - Accuracy: 0.2333 - F1: 0.2270
sub_9:Test (Best Model) - Loss: 1.5961 - Accuracy: 0.2476 - F1: 0.2430
sub_9:Test (Best Model) - Loss: 1.5762 - Accuracy: 0.2429 - F1: 0.2400
sub_9:Test (Best Model) - Loss: 1.5820 - Accuracy: 0.2238 - F1: 0.2089
sub_10:Test (Best Model) - Loss: 1.6149 - Accuracy: 0.2714 - F1: 0.2709
sub_10:Test (Best Model) - Loss: 1.5986 - Accuracy: 0.2286 - F1: 0.2213
sub_10:Test (Best Model) - Loss: 1.6157 - Accuracy: 0.2286 - F1: 0.2283
sub_10:Test (Best Model) - Loss: 1.6213 - Accuracy: 0.1762 - F1: 0.1784
sub_10:Test (Best Model) - Loss: 1.6147 - Accuracy: 0.2286 - F1: 0.2252
sub_10:Test (Best Model) - Loss: 1.6093 - Accuracy: 0.2524 - F1: 0.2520
sub_10:Test (Best Model) - Loss: 1.6038 - Accuracy: 0.2476 - F1: 0.2431
sub_10:Test (Best Model) - Loss: 1.6023 - Accuracy: 0.2524 - F1: 0.2478
sub_10:Test (Best Model) - Loss: 1.5968 - Accuracy: 0.2619 - F1: 0.2588
sub_10:Test (Best Model) - Loss: 1.5934 - Accuracy: 0.2762 - F1: 0.2780
sub_10:Test (Best Model) - Loss: 1.6171 - Accuracy: 0.2238 - F1: 0.2265
sub_10:Test (Best Model) - Loss: 1.6335 - Accuracy: 0.2095 - F1: 0.2077
sub_10:Test (Best Model) - Loss: 1.5941 - Accuracy: 0.2571 - F1: 0.2533
sub_10:Test (Best Model) - Loss: 1.6145 - Accuracy: 0.2286 - F1: 0.2221
sub_10:Test (Best Model) - Loss: 1.6313 - Accuracy: 0.1810 - F1: 0.1780
sub_11:Test (Best Model) - Loss: 1.5889 - Accuracy: 0.2619 - F1: 0.2455
sub_11:Test (Best Model) - Loss: 1.6240 - Accuracy: 0.2000 - F1: 0.1978
sub_11:Test (Best Model) - Loss: 1.6147 - Accuracy: 0.2190 - F1: 0.2106
sub_11:Test (Best Model) - Loss: 1.6254 - Accuracy: 0.1952 - F1: 0.1802
sub_11:Test (Best Model) - Loss: 1.6151 - Accuracy: 0.2048 - F1: 0.1885
sub_11:Test (Best Model) - Loss: 1.5789 - Accuracy: 0.2619 - F1: 0.2578
sub_11:Test (Best Model) - Loss: 1.5866 - Accuracy: 0.2619 - F1: 0.2483
sub_11:Test (Best Model) - Loss: 1.5689 - Accuracy: 0.2429 - F1: 0.2320
sub_11:Test (Best Model) - Loss: 1.5913 - Accuracy: 0.1905 - F1: 0.1790
sub_11:Test (Best Model) - Loss: 1.5996 - Accuracy: 0.1952 - F1: 0.1734
sub_11:Test (Best Model) - Loss: 1.5942 - Accuracy: 0.2714 - F1: 0.2618
sub_11:Test (Best Model) - Loss: 1.5654 - Accuracy: 0.3000 - F1: 0.2907
sub_11:Test (Best Model) - Loss: 1.5980 - Accuracy: 0.2381 - F1: 0.2195
sub_11:Test (Best Model) - Loss: 1.5993 - Accuracy: 0.2238 - F1: 0.2173
sub_11:Test (Best Model) - Loss: 1.5988 - Accuracy: 0.2286 - F1: 0.2240
sub_12:Test (Best Model) - Loss: 1.5719 - Accuracy: 0.3048 - F1: 0.3079
sub_12:Test (Best Model) - Loss: 1.5707 - Accuracy: 0.2714 - F1: 0.2745
sub_12:Test (Best Model) - Loss: 1.5765 - Accuracy: 0.2857 - F1: 0.2851
sub_12:Test (Best Model) - Loss: 1.5858 - Accuracy: 0.3048 - F1: 0.3013
sub_12:Test (Best Model) - Loss: 1.5719 - Accuracy: 0.2571 - F1: 0.2636
sub_12:Test (Best Model) - Loss: 1.5545 - Accuracy: 0.3238 - F1: 0.3018
sub_12:Test (Best Model) - Loss: 1.5567 - Accuracy: 0.3190 - F1: 0.2802
sub_12:Test (Best Model) - Loss: 1.5674 - Accuracy: 0.2714 - F1: 0.2324
sub_12:Test (Best Model) - Loss: 1.5969 - Accuracy: 0.2619 - F1: 0.2479
sub_12:Test (Best Model) - Loss: 1.5531 - Accuracy: 0.3238 - F1: 0.2905
sub_12:Test (Best Model) - Loss: 1.5879 - Accuracy: 0.2238 - F1: 0.2235
sub_12:Test (Best Model) - Loss: 1.5999 - Accuracy: 0.2333 - F1: 0.2440
sub_12:Test (Best Model) - Loss: 1.5963 - Accuracy: 0.2190 - F1: 0.2229
sub_12:Test (Best Model) - Loss: 1.5912 - Accuracy: 0.2333 - F1: 0.2301
sub_12:Test (Best Model) - Loss: 1.5925 - Accuracy: 0.2476 - F1: 0.2479
sub_13:Test (Best Model) - Loss: 1.5816 - Accuracy: 0.2286 - F1: 0.2001
sub_13:Test (Best Model) - Loss: 1.5983 - Accuracy: 0.2810 - F1: 0.2676
sub_13:Test (Best Model) - Loss: 1.5965 - Accuracy: 0.2571 - F1: 0.2414
sub_13:Test (Best Model) - Loss: 1.5916 - Accuracy: 0.2619 - F1: 0.2404
sub_13:Test (Best Model) - Loss: 1.5968 - Accuracy: 0.2571 - F1: 0.2471
sub_13:Test (Best Model) - Loss: 1.5999 - Accuracy: 0.2238 - F1: 0.2193
sub_13:Test (Best Model) - Loss: 1.5718 - Accuracy: 0.2571 - F1: 0.2492
sub_13:Test (Best Model) - Loss: 1.5973 - Accuracy: 0.2333 - F1: 0.2204
sub_13:Test (Best Model) - Loss: 1.5717 - Accuracy: 0.2333 - F1: 0.2265
sub_13:Test (Best Model) - Loss: 1.5918 - Accuracy: 0.2476 - F1: 0.2308
sub_13:Test (Best Model) - Loss: 1.5868 - Accuracy: 0.2714 - F1: 0.2598
sub_13:Test (Best Model) - Loss: 1.5918 - Accuracy: 0.2667 - F1: 0.2442
sub_13:Test (Best Model) - Loss: 1.5881 - Accuracy: 0.2476 - F1: 0.2359
sub_13:Test (Best Model) - Loss: 1.5741 - Accuracy: 0.2905 - F1: 0.2750
sub_13:Test (Best Model) - Loss: 1.6009 - Accuracy: 0.2762 - F1: 0.2727
sub_14:Test (Best Model) - Loss: 1.5977 - Accuracy: 0.2667 - F1: 0.2362
sub_14:Test (Best Model) - Loss: 1.5470 - Accuracy: 0.2714 - F1: 0.2864
sub_14:Test (Best Model) - Loss: 1.5443 - Accuracy: 0.3333 - F1: 0.3309
sub_14:Test (Best Model) - Loss: 1.5605 - Accuracy: 0.3095 - F1: 0.3081
sub_14:Test (Best Model) - Loss: 1.5733 - Accuracy: 0.2810 - F1: 0.2708
sub_14:Test (Best Model) - Loss: 1.5040 - Accuracy: 0.3238 - F1: 0.2702
sub_14:Test (Best Model) - Loss: 1.5302 - Accuracy: 0.3143 - F1: 0.2717
sub_14:Test (Best Model) - Loss: 1.5390 - Accuracy: 0.3048 - F1: 0.2760
sub_14:Test (Best Model) - Loss: 1.5560 - Accuracy: 0.2905 - F1: 0.2607
sub_14:Test (Best Model) - Loss: 1.5577 - Accuracy: 0.2810 - F1: 0.2547
sub_14:Test (Best Model) - Loss: 1.5509 - Accuracy: 0.3000 - F1: 0.2807
sub_14:Test (Best Model) - Loss: 1.5692 - Accuracy: 0.2762 - F1: 0.2530
sub_14:Test (Best Model) - Loss: 1.5640 - Accuracy: 0.2571 - F1: 0.2134
sub_14:Test (Best Model) - Loss: 1.5945 - Accuracy: 0.2524 - F1: 0.2168
sub_14:Test (Best Model) - Loss: 1.5732 - Accuracy: 0.2619 - F1: 0.2342

=== Summary Results ===

acc: 25.98 ± 2.40
F1: 24.84 ± 2.41
acc-in: 29.13 ± 2.58
F1-in: 28.15 ± 2.72
