lr: 1e-06
sub_1:Test (Best Model) - Loss: 1.5823 - Accuracy: 0.2810 - F1: 0.2328
sub_1:Test (Best Model) - Loss: 1.5639 - Accuracy: 0.3048 - F1: 0.2533
sub_1:Test (Best Model) - Loss: 1.5761 - Accuracy: 0.2667 - F1: 0.2465
sub_1:Test (Best Model) - Loss: 1.5742 - Accuracy: 0.2857 - F1: 0.2770
sub_1:Test (Best Model) - Loss: 1.5657 - Accuracy: 0.3000 - F1: 0.2759
sub_1:Test (Best Model) - Loss: 1.5467 - Accuracy: 0.2714 - F1: 0.2827
sub_1:Test (Best Model) - Loss: 1.5274 - Accuracy: 0.3143 - F1: 0.3199
sub_1:Test (Best Model) - Loss: 1.4961 - Accuracy: 0.3190 - F1: 0.3277
sub_1:Test (Best Model) - Loss: 1.4820 - Accuracy: 0.3095 - F1: 0.3253
sub_1:Test (Best Model) - Loss: 1.5401 - Accuracy: 0.2905 - F1: 0.3025
sub_1:Test (Best Model) - Loss: 1.5040 - Accuracy: 0.3048 - F1: 0.3021
sub_1:Test (Best Model) - Loss: 1.4862 - Accuracy: 0.3333 - F1: 0.3223
sub_1:Test (Best Model) - Loss: 1.5137 - Accuracy: 0.2952 - F1: 0.2903
sub_1:Test (Best Model) - Loss: 1.5188 - Accuracy: 0.3238 - F1: 0.3231
sub_1:Test (Best Model) - Loss: 1.5070 - Accuracy: 0.2762 - F1: 0.2711
sub_2:Test (Best Model) - Loss: 1.5052 - Accuracy: 0.3476 - F1: 0.2653
sub_2:Test (Best Model) - Loss: 1.5308 - Accuracy: 0.3381 - F1: 0.3173
sub_2:Test (Best Model) - Loss: 1.5372 - Accuracy: 0.2714 - F1: 0.2364
sub_2:Test (Best Model) - Loss: 1.5318 - Accuracy: 0.2952 - F1: 0.2486
sub_2:Test (Best Model) - Loss: 1.5319 - Accuracy: 0.3143 - F1: 0.2592
sub_2:Test (Best Model) - Loss: 1.5669 - Accuracy: 0.2524 - F1: 0.2233
sub_2:Test (Best Model) - Loss: 1.5389 - Accuracy: 0.2667 - F1: 0.2572
sub_2:Test (Best Model) - Loss: 1.5100 - Accuracy: 0.3524 - F1: 0.3448
sub_2:Test (Best Model) - Loss: 1.5232 - Accuracy: 0.2714 - F1: 0.2617
sub_2:Test (Best Model) - Loss: 1.5385 - Accuracy: 0.2810 - F1: 0.2572
sub_2:Test (Best Model) - Loss: 1.5529 - Accuracy: 0.2619 - F1: 0.2355
sub_2:Test (Best Model) - Loss: 1.5410 - Accuracy: 0.2762 - F1: 0.2632
sub_2:Test (Best Model) - Loss: 1.5171 - Accuracy: 0.2714 - F1: 0.2616
sub_2:Test (Best Model) - Loss: 1.4914 - Accuracy: 0.3143 - F1: 0.3169
sub_2:Test (Best Model) - Loss: 1.5400 - Accuracy: 0.2333 - F1: 0.2282
sub_3:Test (Best Model) - Loss: 1.5765 - Accuracy: 0.2381 - F1: 0.1750
sub_3:Test (Best Model) - Loss: 1.5797 - Accuracy: 0.2571 - F1: 0.1980
sub_3:Test (Best Model) - Loss: 1.5851 - Accuracy: 0.2619 - F1: 0.2026
sub_3:Test (Best Model) - Loss: 1.5813 - Accuracy: 0.2429 - F1: 0.1692
sub_3:Test (Best Model) - Loss: 1.5865 - Accuracy: 0.2571 - F1: 0.1715
sub_3:Test (Best Model) - Loss: 1.5365 - Accuracy: 0.2762 - F1: 0.2602
sub_3:Test (Best Model) - Loss: 1.5451 - Accuracy: 0.3000 - F1: 0.2875
sub_3:Test (Best Model) - Loss: 1.5544 - Accuracy: 0.2857 - F1: 0.2603
sub_3:Test (Best Model) - Loss: 1.5568 - Accuracy: 0.2857 - F1: 0.2721
sub_3:Test (Best Model) - Loss: 1.5636 - Accuracy: 0.3048 - F1: 0.2932
sub_3:Test (Best Model) - Loss: 1.5737 - Accuracy: 0.2810 - F1: 0.2892
sub_3:Test (Best Model) - Loss: 1.5614 - Accuracy: 0.2714 - F1: 0.2709
sub_3:Test (Best Model) - Loss: 1.5452 - Accuracy: 0.3238 - F1: 0.3286
sub_3:Test (Best Model) - Loss: 1.5296 - Accuracy: 0.3095 - F1: 0.3156
sub_3:Test (Best Model) - Loss: 1.5667 - Accuracy: 0.2762 - F1: 0.2756
sub_4:Test (Best Model) - Loss: 1.5231 - Accuracy: 0.3619 - F1: 0.3294
sub_4:Test (Best Model) - Loss: 1.5821 - Accuracy: 0.2381 - F1: 0.2155
sub_4:Test (Best Model) - Loss: 1.5733 - Accuracy: 0.2571 - F1: 0.2302
sub_4:Test (Best Model) - Loss: 1.5406 - Accuracy: 0.3048 - F1: 0.2765
sub_4:Test (Best Model) - Loss: 1.5692 - Accuracy: 0.2905 - F1: 0.2600
sub_4:Test (Best Model) - Loss: 1.5186 - Accuracy: 0.3000 - F1: 0.2959
sub_4:Test (Best Model) - Loss: 1.5589 - Accuracy: 0.2524 - F1: 0.2444
sub_4:Test (Best Model) - Loss: 1.5458 - Accuracy: 0.2905 - F1: 0.2929
sub_4:Test (Best Model) - Loss: 1.5537 - Accuracy: 0.2714 - F1: 0.2693
sub_4:Test (Best Model) - Loss: 1.5608 - Accuracy: 0.2857 - F1: 0.2846
sub_4:Test (Best Model) - Loss: 1.5799 - Accuracy: 0.2286 - F1: 0.2031
sub_4:Test (Best Model) - Loss: 1.5767 - Accuracy: 0.2524 - F1: 0.2350
sub_4:Test (Best Model) - Loss: 1.5693 - Accuracy: 0.2905 - F1: 0.2448
sub_4:Test (Best Model) - Loss: 1.5737 - Accuracy: 0.2524 - F1: 0.2143
sub_4:Test (Best Model) - Loss: 1.5775 - Accuracy: 0.2143 - F1: 0.2011
sub_5:Test (Best Model) - Loss: 1.5439 - Accuracy: 0.3476 - F1: 0.3267
sub_5:Test (Best Model) - Loss: 1.5557 - Accuracy: 0.2810 - F1: 0.2573
sub_5:Test (Best Model) - Loss: 1.4907 - Accuracy: 0.3810 - F1: 0.3363
sub_5:Test (Best Model) - Loss: 1.5495 - Accuracy: 0.3095 - F1: 0.2695
sub_5:Test (Best Model) - Loss: 1.5642 - Accuracy: 0.2476 - F1: 0.2149
sub_5:Test (Best Model) - Loss: 1.5238 - Accuracy: 0.2810 - F1: 0.2732
sub_5:Test (Best Model) - Loss: 1.5846 - Accuracy: 0.2476 - F1: 0.2080
sub_5:Test (Best Model) - Loss: 1.5344 - Accuracy: 0.3238 - F1: 0.3189
sub_5:Test (Best Model) - Loss: 1.5346 - Accuracy: 0.3095 - F1: 0.2876
sub_5:Test (Best Model) - Loss: 1.5849 - Accuracy: 0.2810 - F1: 0.2631
sub_5:Test (Best Model) - Loss: 1.5355 - Accuracy: 0.2810 - F1: 0.2798
sub_5:Test (Best Model) - Loss: 1.4800 - Accuracy: 0.3476 - F1: 0.3568
sub_5:Test (Best Model) - Loss: 1.5284 - Accuracy: 0.2762 - F1: 0.2813
sub_5:Test (Best Model) - Loss: 1.5495 - Accuracy: 0.2571 - F1: 0.2585
sub_5:Test (Best Model) - Loss: 1.5192 - Accuracy: 0.2952 - F1: 0.3055
sub_6:Test (Best Model) - Loss: 1.5893 - Accuracy: 0.2571 - F1: 0.2562
sub_6:Test (Best Model) - Loss: 1.6081 - Accuracy: 0.2762 - F1: 0.2783
sub_6:Test (Best Model) - Loss: 1.6097 - Accuracy: 0.2429 - F1: 0.2348
sub_6:Test (Best Model) - Loss: 1.5943 - Accuracy: 0.2286 - F1: 0.2361
sub_6:Test (Best Model) - Loss: 1.5906 - Accuracy: 0.2810 - F1: 0.2723
sub_6:Test (Best Model) - Loss: 1.6226 - Accuracy: 0.2667 - F1: 0.2650
sub_6:Test (Best Model) - Loss: 1.6081 - Accuracy: 0.2524 - F1: 0.2461
sub_6:Test (Best Model) - Loss: 1.6122 - Accuracy: 0.2286 - F1: 0.2198
sub_6:Test (Best Model) - Loss: 1.5984 - Accuracy: 0.2429 - F1: 0.2278
sub_6:Test (Best Model) - Loss: 1.5866 - Accuracy: 0.2476 - F1: 0.2461
sub_6:Test (Best Model) - Loss: 1.6154 - Accuracy: 0.2333 - F1: 0.2264
sub_6:Test (Best Model) - Loss: 1.5981 - Accuracy: 0.2143 - F1: 0.2118
sub_6:Test (Best Model) - Loss: 1.6126 - Accuracy: 0.2190 - F1: 0.2127
sub_6:Test (Best Model) - Loss: 1.6197 - Accuracy: 0.1762 - F1: 0.1636
sub_6:Test (Best Model) - Loss: 1.6278 - Accuracy: 0.2476 - F1: 0.2392
sub_7:Test (Best Model) - Loss: 1.6223 - Accuracy: 0.2238 - F1: 0.2204
sub_7:Test (Best Model) - Loss: 1.6216 - Accuracy: 0.2476 - F1: 0.2474
sub_7:Test (Best Model) - Loss: 1.6386 - Accuracy: 0.2095 - F1: 0.2071
sub_7:Test (Best Model) - Loss: 1.6242 - Accuracy: 0.2095 - F1: 0.2071
sub_7:Test (Best Model) - Loss: 1.6227 - Accuracy: 0.2619 - F1: 0.2566
sub_7:Test (Best Model) - Loss: 1.6141 - Accuracy: 0.2190 - F1: 0.2199
sub_7:Test (Best Model) - Loss: 1.6062 - Accuracy: 0.2095 - F1: 0.1923
sub_7:Test (Best Model) - Loss: 1.6067 - Accuracy: 0.2190 - F1: 0.2119
sub_7:Test (Best Model) - Loss: 1.6363 - Accuracy: 0.1905 - F1: 0.1935
sub_7:Test (Best Model) - Loss: 1.6305 - Accuracy: 0.2000 - F1: 0.1937
sub_7:Test (Best Model) - Loss: 1.6124 - Accuracy: 0.2000 - F1: 0.1896
sub_7:Test (Best Model) - Loss: 1.6004 - Accuracy: 0.2286 - F1: 0.2303
sub_7:Test (Best Model) - Loss: 1.6059 - Accuracy: 0.2238 - F1: 0.2092
sub_7:Test (Best Model) - Loss: 1.6219 - Accuracy: 0.2143 - F1: 0.2082
sub_7:Test (Best Model) - Loss: 1.5963 - Accuracy: 0.2429 - F1: 0.2344
sub_8:Test (Best Model) - Loss: 1.5257 - Accuracy: 0.3190 - F1: 0.3257
sub_8:Test (Best Model) - Loss: 1.5182 - Accuracy: 0.3190 - F1: 0.3267
sub_8:Test (Best Model) - Loss: 1.4809 - Accuracy: 0.3762 - F1: 0.3645
sub_8:Test (Best Model) - Loss: 1.5364 - Accuracy: 0.2762 - F1: 0.2792
sub_8:Test (Best Model) - Loss: 1.4652 - Accuracy: 0.3571 - F1: 0.3427
sub_8:Test (Best Model) - Loss: 1.4733 - Accuracy: 0.3571 - F1: 0.3742
sub_8:Test (Best Model) - Loss: 1.4856 - Accuracy: 0.2857 - F1: 0.3075
sub_8:Test (Best Model) - Loss: 1.4879 - Accuracy: 0.3095 - F1: 0.3236
sub_8:Test (Best Model) - Loss: 1.4238 - Accuracy: 0.3714 - F1: 0.3825
sub_8:Test (Best Model) - Loss: 1.4640 - Accuracy: 0.3476 - F1: 0.3652
sub_8:Test (Best Model) - Loss: 1.5032 - Accuracy: 0.3476 - F1: 0.3615
sub_8:Test (Best Model) - Loss: 1.5115 - Accuracy: 0.2905 - F1: 0.3036
sub_8:Test (Best Model) - Loss: 1.5274 - Accuracy: 0.2857 - F1: 0.2832
sub_8:Test (Best Model) - Loss: 1.5046 - Accuracy: 0.3143 - F1: 0.3257
sub_8:Test (Best Model) - Loss: 1.5513 - Accuracy: 0.2952 - F1: 0.3055
sub_9:Test (Best Model) - Loss: 1.5699 - Accuracy: 0.2952 - F1: 0.2694
sub_9:Test (Best Model) - Loss: 1.5333 - Accuracy: 0.2857 - F1: 0.2654
sub_9:Test (Best Model) - Loss: 1.5328 - Accuracy: 0.3381 - F1: 0.3058
sub_9:Test (Best Model) - Loss: 1.5720 - Accuracy: 0.2667 - F1: 0.2337
sub_9:Test (Best Model) - Loss: 1.5763 - Accuracy: 0.2667 - F1: 0.2556
sub_9:Test (Best Model) - Loss: 1.5827 - Accuracy: 0.2238 - F1: 0.2241
sub_9:Test (Best Model) - Loss: 1.5679 - Accuracy: 0.2571 - F1: 0.2598
sub_9:Test (Best Model) - Loss: 1.5825 - Accuracy: 0.2857 - F1: 0.2804
sub_9:Test (Best Model) - Loss: 1.5734 - Accuracy: 0.2857 - F1: 0.2767
sub_9:Test (Best Model) - Loss: 1.5754 - Accuracy: 0.2810 - F1: 0.2862
sub_9:Test (Best Model) - Loss: 1.6073 - Accuracy: 0.1952 - F1: 0.1944
sub_9:Test (Best Model) - Loss: 1.5573 - Accuracy: 0.2810 - F1: 0.2745
sub_9:Test (Best Model) - Loss: 1.5588 - Accuracy: 0.2714 - F1: 0.2731
sub_9:Test (Best Model) - Loss: 1.5927 - Accuracy: 0.2190 - F1: 0.2244
sub_9:Test (Best Model) - Loss: 1.5613 - Accuracy: 0.2429 - F1: 0.2466
sub_10:Test (Best Model) - Loss: 1.6214 - Accuracy: 0.2714 - F1: 0.2686
sub_10:Test (Best Model) - Loss: 1.6255 - Accuracy: 0.2143 - F1: 0.2132
sub_10:Test (Best Model) - Loss: 1.6210 - Accuracy: 0.1905 - F1: 0.1875
sub_10:Test (Best Model) - Loss: 1.6250 - Accuracy: 0.2381 - F1: 0.2360
sub_10:Test (Best Model) - Loss: 1.6027 - Accuracy: 0.2524 - F1: 0.2558
sub_10:Test (Best Model) - Loss: 1.6082 - Accuracy: 0.2190 - F1: 0.2217
sub_10:Test (Best Model) - Loss: 1.6018 - Accuracy: 0.2048 - F1: 0.1904
sub_10:Test (Best Model) - Loss: 1.6131 - Accuracy: 0.2619 - F1: 0.2606
sub_10:Test (Best Model) - Loss: 1.5951 - Accuracy: 0.2524 - F1: 0.2538
sub_10:Test (Best Model) - Loss: 1.5979 - Accuracy: 0.2429 - F1: 0.2391
sub_10:Test (Best Model) - Loss: 1.6433 - Accuracy: 0.1714 - F1: 0.1685
sub_10:Test (Best Model) - Loss: 1.6329 - Accuracy: 0.2238 - F1: 0.2181
sub_10:Test (Best Model) - Loss: 1.6095 - Accuracy: 0.2762 - F1: 0.2746
sub_10:Test (Best Model) - Loss: 1.6000 - Accuracy: 0.2571 - F1: 0.2535
sub_10:Test (Best Model) - Loss: 1.6062 - Accuracy: 0.2143 - F1: 0.2171
sub_11:Test (Best Model) - Loss: 1.6177 - Accuracy: 0.2000 - F1: 0.1943
sub_11:Test (Best Model) - Loss: 1.6145 - Accuracy: 0.2048 - F1: 0.2036
sub_11:Test (Best Model) - Loss: 1.6108 - Accuracy: 0.1905 - F1: 0.1777
sub_11:Test (Best Model) - Loss: 1.6103 - Accuracy: 0.2429 - F1: 0.2308
sub_11:Test (Best Model) - Loss: 1.6004 - Accuracy: 0.1905 - F1: 0.1773
sub_11:Test (Best Model) - Loss: 1.5726 - Accuracy: 0.2762 - F1: 0.2710
sub_11:Test (Best Model) - Loss: 1.5591 - Accuracy: 0.2714 - F1: 0.2710
sub_11:Test (Best Model) - Loss: 1.5660 - Accuracy: 0.2810 - F1: 0.2566
sub_11:Test (Best Model) - Loss: 1.5680 - Accuracy: 0.2762 - F1: 0.2743
sub_11:Test (Best Model) - Loss: 1.5825 - Accuracy: 0.2571 - F1: 0.2466
sub_11:Test (Best Model) - Loss: 1.6315 - Accuracy: 0.2286 - F1: 0.2289
sub_11:Test (Best Model) - Loss: 1.5678 - Accuracy: 0.3048 - F1: 0.2941
sub_11:Test (Best Model) - Loss: 1.5783 - Accuracy: 0.2905 - F1: 0.2839
sub_11:Test (Best Model) - Loss: 1.6162 - Accuracy: 0.2381 - F1: 0.2201
sub_11:Test (Best Model) - Loss: 1.5476 - Accuracy: 0.3143 - F1: 0.3211
sub_12:Test (Best Model) - Loss: 1.5785 - Accuracy: 0.3000 - F1: 0.2918
sub_12:Test (Best Model) - Loss: 1.5751 - Accuracy: 0.2524 - F1: 0.2507
sub_12:Test (Best Model) - Loss: 1.5305 - Accuracy: 0.3143 - F1: 0.2908
sub_12:Test (Best Model) - Loss: 1.5874 - Accuracy: 0.2333 - F1: 0.2356
sub_12:Test (Best Model) - Loss: 1.5483 - Accuracy: 0.2667 - F1: 0.2722
sub_12:Test (Best Model) - Loss: 1.5866 - Accuracy: 0.2762 - F1: 0.2556
sub_12:Test (Best Model) - Loss: 1.5540 - Accuracy: 0.2714 - F1: 0.2428
sub_12:Test (Best Model) - Loss: 1.5749 - Accuracy: 0.2952 - F1: 0.2935
sub_12:Test (Best Model) - Loss: 1.5782 - Accuracy: 0.2333 - F1: 0.2232
sub_12:Test (Best Model) - Loss: 1.5596 - Accuracy: 0.3000 - F1: 0.2714
sub_12:Test (Best Model) - Loss: 1.5817 - Accuracy: 0.2429 - F1: 0.2578
sub_12:Test (Best Model) - Loss: 1.6142 - Accuracy: 0.2000 - F1: 0.2110
sub_12:Test (Best Model) - Loss: 1.5698 - Accuracy: 0.2810 - F1: 0.2960
sub_12:Test (Best Model) - Loss: 1.5673 - Accuracy: 0.2095 - F1: 0.2254
sub_12:Test (Best Model) - Loss: 1.5679 - Accuracy: 0.2762 - F1: 0.2874
sub_13:Test (Best Model) - Loss: 1.5837 - Accuracy: 0.2667 - F1: 0.2564
sub_13:Test (Best Model) - Loss: 1.5996 - Accuracy: 0.2190 - F1: 0.2070
sub_13:Test (Best Model) - Loss: 1.5918 - Accuracy: 0.2667 - F1: 0.2610
sub_13:Test (Best Model) - Loss: 1.6068 - Accuracy: 0.2238 - F1: 0.2094
sub_13:Test (Best Model) - Loss: 1.5872 - Accuracy: 0.2381 - F1: 0.2185
sub_13:Test (Best Model) - Loss: 1.5961 - Accuracy: 0.2619 - F1: 0.2595
sub_13:Test (Best Model) - Loss: 1.5886 - Accuracy: 0.2333 - F1: 0.2135
sub_13:Test (Best Model) - Loss: 1.6009 - Accuracy: 0.2048 - F1: 0.1889
sub_13:Test (Best Model) - Loss: 1.5802 - Accuracy: 0.2476 - F1: 0.2446
sub_13:Test (Best Model) - Loss: 1.5871 - Accuracy: 0.2476 - F1: 0.2230
sub_13:Test (Best Model) - Loss: 1.5874 - Accuracy: 0.2857 - F1: 0.2640
sub_13:Test (Best Model) - Loss: 1.5992 - Accuracy: 0.2381 - F1: 0.2234
sub_13:Test (Best Model) - Loss: 1.5930 - Accuracy: 0.2714 - F1: 0.2542
sub_13:Test (Best Model) - Loss: 1.6012 - Accuracy: 0.2619 - F1: 0.2573
sub_13:Test (Best Model) - Loss: 1.5841 - Accuracy: 0.2524 - F1: 0.2509
sub_14:Test (Best Model) - Loss: 1.5669 - Accuracy: 0.2952 - F1: 0.2837
sub_14:Test (Best Model) - Loss: 1.5382 - Accuracy: 0.3048 - F1: 0.3103
sub_14:Test (Best Model) - Loss: 1.5446 - Accuracy: 0.2667 - F1: 0.2480
sub_14:Test (Best Model) - Loss: 1.5674 - Accuracy: 0.2857 - F1: 0.2795
sub_14:Test (Best Model) - Loss: 1.5670 - Accuracy: 0.2905 - F1: 0.2723
sub_14:Test (Best Model) - Loss: 1.5271 - Accuracy: 0.3190 - F1: 0.2680
sub_14:Test (Best Model) - Loss: 1.5283 - Accuracy: 0.3048 - F1: 0.2702
sub_14:Test (Best Model) - Loss: 1.5281 - Accuracy: 0.2810 - F1: 0.2417
sub_14:Test (Best Model) - Loss: 1.5478 - Accuracy: 0.2762 - F1: 0.2218
sub_14:Test (Best Model) - Loss: 1.5608 - Accuracy: 0.2619 - F1: 0.2344
sub_14:Test (Best Model) - Loss: 1.5674 - Accuracy: 0.2714 - F1: 0.2517
sub_14:Test (Best Model) - Loss: 1.5565 - Accuracy: 0.2619 - F1: 0.2299
sub_14:Test (Best Model) - Loss: 1.5748 - Accuracy: 0.2381 - F1: 0.2073
sub_14:Test (Best Model) - Loss: 1.5863 - Accuracy: 0.2286 - F1: 0.1900
sub_14:Test (Best Model) - Loss: 1.6008 - Accuracy: 0.2476 - F1: 0.2249

=== Summary Results ===

acc: 26.85 ± 2.74
F1: 25.72 ± 2.81
acc-in: 30.73 ± 3.17
F1-in: 29.75 ± 3.29
