lr: 1e-05
sub_1:Test (Best Model) - Loss: 1.5770 - Accuracy: 0.2762 - F1: 0.2424
sub_1:Test (Best Model) - Loss: 1.5736 - Accuracy: 0.2952 - F1: 0.2475
sub_1:Test (Best Model) - Loss: 1.5607 - Accuracy: 0.2952 - F1: 0.2703
sub_1:Test (Best Model) - Loss: 1.5624 - Accuracy: 0.3095 - F1: 0.2807
sub_1:Test (Best Model) - Loss: 1.6230 - Accuracy: 0.2524 - F1: 0.2289
sub_1:Test (Best Model) - Loss: 1.5200 - Accuracy: 0.3048 - F1: 0.3132
sub_1:Test (Best Model) - Loss: 1.5453 - Accuracy: 0.3286 - F1: 0.3306
sub_1:Test (Best Model) - Loss: 1.5021 - Accuracy: 0.3286 - F1: 0.3324
sub_1:Test (Best Model) - Loss: 1.5240 - Accuracy: 0.3048 - F1: 0.3175
sub_1:Test (Best Model) - Loss: 1.5611 - Accuracy: 0.2619 - F1: 0.2730
sub_1:Test (Best Model) - Loss: 1.5352 - Accuracy: 0.2810 - F1: 0.2718
sub_1:Test (Best Model) - Loss: 1.4988 - Accuracy: 0.3048 - F1: 0.2973
sub_1:Test (Best Model) - Loss: 1.5207 - Accuracy: 0.3190 - F1: 0.3103
sub_1:Test (Best Model) - Loss: 1.5227 - Accuracy: 0.2762 - F1: 0.2819
sub_1:Test (Best Model) - Loss: 1.5296 - Accuracy: 0.2524 - F1: 0.2597
sub_2:Test (Best Model) - Loss: 1.5491 - Accuracy: 0.3143 - F1: 0.2975
sub_2:Test (Best Model) - Loss: 1.5750 - Accuracy: 0.2762 - F1: 0.2655
sub_2:Test (Best Model) - Loss: 1.5798 - Accuracy: 0.2143 - F1: 0.1984
sub_2:Test (Best Model) - Loss: 1.5780 - Accuracy: 0.2571 - F1: 0.2454
sub_2:Test (Best Model) - Loss: 1.5826 - Accuracy: 0.2190 - F1: 0.1997
sub_2:Test (Best Model) - Loss: 1.5786 - Accuracy: 0.2905 - F1: 0.2961
sub_2:Test (Best Model) - Loss: 1.5757 - Accuracy: 0.2524 - F1: 0.2611
sub_2:Test (Best Model) - Loss: 1.5522 - Accuracy: 0.2524 - F1: 0.2463
sub_2:Test (Best Model) - Loss: 1.5635 - Accuracy: 0.2619 - F1: 0.2645
sub_2:Test (Best Model) - Loss: 1.5885 - Accuracy: 0.2429 - F1: 0.2360
sub_2:Test (Best Model) - Loss: 1.5800 - Accuracy: 0.2286 - F1: 0.2247
sub_2:Test (Best Model) - Loss: 1.5799 - Accuracy: 0.2381 - F1: 0.2492
sub_2:Test (Best Model) - Loss: 1.5604 - Accuracy: 0.2667 - F1: 0.2617
sub_2:Test (Best Model) - Loss: 1.5480 - Accuracy: 0.2476 - F1: 0.2560
sub_2:Test (Best Model) - Loss: 1.5998 - Accuracy: 0.2476 - F1: 0.2570
sub_3:Test (Best Model) - Loss: 1.5859 - Accuracy: 0.2286 - F1: 0.1624
sub_3:Test (Best Model) - Loss: 1.5818 - Accuracy: 0.2286 - F1: 0.1624
sub_3:Test (Best Model) - Loss: 1.5716 - Accuracy: 0.2667 - F1: 0.2227
sub_3:Test (Best Model) - Loss: 1.5849 - Accuracy: 0.2762 - F1: 0.2282
sub_3:Test (Best Model) - Loss: 1.5775 - Accuracy: 0.2905 - F1: 0.2223
sub_3:Test (Best Model) - Loss: 1.5690 - Accuracy: 0.2524 - F1: 0.2501
sub_3:Test (Best Model) - Loss: 1.5522 - Accuracy: 0.2571 - F1: 0.2492
sub_3:Test (Best Model) - Loss: 1.5125 - Accuracy: 0.3524 - F1: 0.3478
sub_3:Test (Best Model) - Loss: 1.5677 - Accuracy: 0.2905 - F1: 0.2870
sub_3:Test (Best Model) - Loss: 1.5636 - Accuracy: 0.3000 - F1: 0.2992
sub_3:Test (Best Model) - Loss: 1.5673 - Accuracy: 0.2952 - F1: 0.3022
sub_3:Test (Best Model) - Loss: 1.5615 - Accuracy: 0.2524 - F1: 0.2510
sub_3:Test (Best Model) - Loss: 1.5857 - Accuracy: 0.2714 - F1: 0.2637
sub_3:Test (Best Model) - Loss: 1.5769 - Accuracy: 0.2476 - F1: 0.2497
sub_3:Test (Best Model) - Loss: 1.5852 - Accuracy: 0.2714 - F1: 0.2776
sub_4:Test (Best Model) - Loss: 1.6077 - Accuracy: 0.2190 - F1: 0.2081
sub_4:Test (Best Model) - Loss: 1.6425 - Accuracy: 0.2190 - F1: 0.2155
sub_4:Test (Best Model) - Loss: 1.6860 - Accuracy: 0.2000 - F1: 0.1942
sub_4:Test (Best Model) - Loss: 1.6427 - Accuracy: 0.1952 - F1: 0.1874
sub_4:Test (Best Model) - Loss: 1.6304 - Accuracy: 0.1905 - F1: 0.1837
sub_4:Test (Best Model) - Loss: 1.6098 - Accuracy: 0.2476 - F1: 0.2484
sub_4:Test (Best Model) - Loss: 1.6111 - Accuracy: 0.2619 - F1: 0.2592
sub_4:Test (Best Model) - Loss: 1.6344 - Accuracy: 0.2381 - F1: 0.2318
sub_4:Test (Best Model) - Loss: 1.6046 - Accuracy: 0.2286 - F1: 0.2276
sub_4:Test (Best Model) - Loss: 1.6211 - Accuracy: 0.2619 - F1: 0.2556
sub_4:Test (Best Model) - Loss: 1.6183 - Accuracy: 0.2571 - F1: 0.2577
sub_4:Test (Best Model) - Loss: 1.6034 - Accuracy: 0.2762 - F1: 0.2783
sub_4:Test (Best Model) - Loss: 1.5903 - Accuracy: 0.2952 - F1: 0.2730
sub_4:Test (Best Model) - Loss: 1.6063 - Accuracy: 0.2476 - F1: 0.2474
sub_4:Test (Best Model) - Loss: 1.5952 - Accuracy: 0.2571 - F1: 0.2570
sub_5:Test (Best Model) - Loss: 1.5754 - Accuracy: 0.3048 - F1: 0.3098
sub_5:Test (Best Model) - Loss: 1.5824 - Accuracy: 0.2905 - F1: 0.2900
sub_5:Test (Best Model) - Loss: 1.5485 - Accuracy: 0.3143 - F1: 0.3094
sub_5:Test (Best Model) - Loss: 1.5678 - Accuracy: 0.2952 - F1: 0.2996
sub_5:Test (Best Model) - Loss: 1.5857 - Accuracy: 0.2143 - F1: 0.2168
sub_5:Test (Best Model) - Loss: 1.5626 - Accuracy: 0.2857 - F1: 0.2869
sub_5:Test (Best Model) - Loss: 1.5939 - Accuracy: 0.2810 - F1: 0.2785
sub_5:Test (Best Model) - Loss: 1.5680 - Accuracy: 0.3048 - F1: 0.3036
sub_5:Test (Best Model) - Loss: 1.5866 - Accuracy: 0.2762 - F1: 0.2640
sub_5:Test (Best Model) - Loss: 1.5949 - Accuracy: 0.2905 - F1: 0.2833
sub_5:Test (Best Model) - Loss: 1.5761 - Accuracy: 0.2571 - F1: 0.2659
sub_5:Test (Best Model) - Loss: 1.5578 - Accuracy: 0.3190 - F1: 0.3319
sub_5:Test (Best Model) - Loss: 1.5982 - Accuracy: 0.2810 - F1: 0.2862
sub_5:Test (Best Model) - Loss: 1.5876 - Accuracy: 0.2714 - F1: 0.2753
sub_5:Test (Best Model) - Loss: 1.6064 - Accuracy: 0.2381 - F1: 0.2404
sub_6:Test (Best Model) - Loss: 1.6242 - Accuracy: 0.2048 - F1: 0.2005
sub_6:Test (Best Model) - Loss: 1.6261 - Accuracy: 0.2429 - F1: 0.2394
sub_6:Test (Best Model) - Loss: 1.6569 - Accuracy: 0.2000 - F1: 0.2022
sub_6:Test (Best Model) - Loss: 1.6566 - Accuracy: 0.2381 - F1: 0.2338
sub_6:Test (Best Model) - Loss: 1.6297 - Accuracy: 0.2429 - F1: 0.2403
sub_6:Test (Best Model) - Loss: 1.6943 - Accuracy: 0.2381 - F1: 0.2372
sub_6:Test (Best Model) - Loss: 1.6523 - Accuracy: 0.2524 - F1: 0.2536
sub_6:Test (Best Model) - Loss: 1.6303 - Accuracy: 0.1905 - F1: 0.1880
sub_6:Test (Best Model) - Loss: 1.6295 - Accuracy: 0.2333 - F1: 0.2298
sub_6:Test (Best Model) - Loss: 1.5889 - Accuracy: 0.2667 - F1: 0.2689
sub_6:Test (Best Model) - Loss: 1.6470 - Accuracy: 0.2476 - F1: 0.2456
sub_6:Test (Best Model) - Loss: 1.6483 - Accuracy: 0.2190 - F1: 0.2163
sub_6:Test (Best Model) - Loss: 1.6226 - Accuracy: 0.3238 - F1: 0.3204
sub_6:Test (Best Model) - Loss: 1.6557 - Accuracy: 0.1952 - F1: 0.1892
sub_6:Test (Best Model) - Loss: 1.6527 - Accuracy: 0.2429 - F1: 0.2420
sub_7:Test (Best Model) - Loss: 1.6627 - Accuracy: 0.2286 - F1: 0.2271
sub_7:Test (Best Model) - Loss: 1.6653 - Accuracy: 0.2286 - F1: 0.2243
sub_7:Test (Best Model) - Loss: 1.6580 - Accuracy: 0.2286 - F1: 0.2213
sub_7:Test (Best Model) - Loss: 1.6531 - Accuracy: 0.1857 - F1: 0.1817
sub_7:Test (Best Model) - Loss: 1.6605 - Accuracy: 0.2143 - F1: 0.2139
sub_7:Test (Best Model) - Loss: 1.6645 - Accuracy: 0.2000 - F1: 0.1961
sub_7:Test (Best Model) - Loss: 1.6379 - Accuracy: 0.2238 - F1: 0.2233
sub_7:Test (Best Model) - Loss: 1.6323 - Accuracy: 0.2048 - F1: 0.2052
sub_7:Test (Best Model) - Loss: 1.6468 - Accuracy: 0.1619 - F1: 0.1580
sub_7:Test (Best Model) - Loss: 1.6433 - Accuracy: 0.1810 - F1: 0.1774
sub_7:Test (Best Model) - Loss: 1.6033 - Accuracy: 0.2714 - F1: 0.2718
sub_7:Test (Best Model) - Loss: 1.6346 - Accuracy: 0.2571 - F1: 0.2557
sub_7:Test (Best Model) - Loss: 1.6205 - Accuracy: 0.2333 - F1: 0.2350
sub_7:Test (Best Model) - Loss: 1.6245 - Accuracy: 0.2286 - F1: 0.2291
sub_7:Test (Best Model) - Loss: 1.6088 - Accuracy: 0.2238 - F1: 0.2236
sub_8:Test (Best Model) - Loss: 1.5061 - Accuracy: 0.3619 - F1: 0.3635
sub_8:Test (Best Model) - Loss: 1.4983 - Accuracy: 0.3381 - F1: 0.3396
sub_8:Test (Best Model) - Loss: 1.5217 - Accuracy: 0.3190 - F1: 0.3171
sub_8:Test (Best Model) - Loss: 1.5321 - Accuracy: 0.3095 - F1: 0.3113
sub_8:Test (Best Model) - Loss: 1.4777 - Accuracy: 0.3476 - F1: 0.3478
sub_8:Test (Best Model) - Loss: 1.5022 - Accuracy: 0.3476 - F1: 0.3580
sub_8:Test (Best Model) - Loss: 1.5384 - Accuracy: 0.3095 - F1: 0.3238
sub_8:Test (Best Model) - Loss: 1.4824 - Accuracy: 0.3429 - F1: 0.3515
sub_8:Test (Best Model) - Loss: 1.4395 - Accuracy: 0.3524 - F1: 0.3611
sub_8:Test (Best Model) - Loss: 1.5205 - Accuracy: 0.3095 - F1: 0.3268
sub_8:Test (Best Model) - Loss: 1.6171 - Accuracy: 0.2667 - F1: 0.2884
sub_8:Test (Best Model) - Loss: 1.5674 - Accuracy: 0.2476 - F1: 0.2666
sub_8:Test (Best Model) - Loss: 1.5259 - Accuracy: 0.3143 - F1: 0.3261
sub_8:Test (Best Model) - Loss: 1.5671 - Accuracy: 0.3048 - F1: 0.3223
sub_8:Test (Best Model) - Loss: 1.6355 - Accuracy: 0.2238 - F1: 0.2265
sub_9:Test (Best Model) - Loss: 1.5645 - Accuracy: 0.2667 - F1: 0.2641
sub_9:Test (Best Model) - Loss: 1.5758 - Accuracy: 0.2571 - F1: 0.2534
sub_9:Test (Best Model) - Loss: 1.5224 - Accuracy: 0.3333 - F1: 0.3216
sub_9:Test (Best Model) - Loss: 1.5651 - Accuracy: 0.3095 - F1: 0.2897
sub_9:Test (Best Model) - Loss: 1.5763 - Accuracy: 0.2619 - F1: 0.2560
sub_9:Test (Best Model) - Loss: 1.5249 - Accuracy: 0.3381 - F1: 0.3208
sub_9:Test (Best Model) - Loss: 1.6010 - Accuracy: 0.2810 - F1: 0.2826
sub_9:Test (Best Model) - Loss: 1.6099 - Accuracy: 0.2619 - F1: 0.2613
sub_9:Test (Best Model) - Loss: 1.6185 - Accuracy: 0.2524 - F1: 0.2462
sub_9:Test (Best Model) - Loss: 1.5977 - Accuracy: 0.2667 - F1: 0.2637
sub_9:Test (Best Model) - Loss: 1.6660 - Accuracy: 0.2000 - F1: 0.2008
sub_9:Test (Best Model) - Loss: 1.6066 - Accuracy: 0.2429 - F1: 0.2445
sub_9:Test (Best Model) - Loss: 1.6208 - Accuracy: 0.2429 - F1: 0.2475
sub_9:Test (Best Model) - Loss: 1.5992 - Accuracy: 0.2333 - F1: 0.2444
sub_9:Test (Best Model) - Loss: 1.6036 - Accuracy: 0.2381 - F1: 0.2403
sub_10:Test (Best Model) - Loss: 1.6486 - Accuracy: 0.2238 - F1: 0.2211
sub_10:Test (Best Model) - Loss: 1.6380 - Accuracy: 0.2476 - F1: 0.2388
sub_10:Test (Best Model) - Loss: 1.6658 - Accuracy: 0.2286 - F1: 0.2285
sub_10:Test (Best Model) - Loss: 1.6593 - Accuracy: 0.2238 - F1: 0.2172
sub_10:Test (Best Model) - Loss: 1.6355 - Accuracy: 0.2667 - F1: 0.2638
sub_10:Test (Best Model) - Loss: 1.6296 - Accuracy: 0.2238 - F1: 0.2223
sub_10:Test (Best Model) - Loss: 1.5931 - Accuracy: 0.2762 - F1: 0.2680
sub_10:Test (Best Model) - Loss: 1.6236 - Accuracy: 0.2667 - F1: 0.2648
sub_10:Test (Best Model) - Loss: 1.5827 - Accuracy: 0.2714 - F1: 0.2732
sub_10:Test (Best Model) - Loss: 1.5985 - Accuracy: 0.2429 - F1: 0.2437
sub_10:Test (Best Model) - Loss: 1.6581 - Accuracy: 0.2190 - F1: 0.2190
sub_10:Test (Best Model) - Loss: 1.6452 - Accuracy: 0.2429 - F1: 0.2405
sub_10:Test (Best Model) - Loss: 1.6753 - Accuracy: 0.2571 - F1: 0.2478
sub_10:Test (Best Model) - Loss: 1.6431 - Accuracy: 0.2000 - F1: 0.1938
sub_10:Test (Best Model) - Loss: 1.6614 - Accuracy: 0.2000 - F1: 0.1981
sub_11:Test (Best Model) - Loss: 1.6533 - Accuracy: 0.2048 - F1: 0.2045
sub_11:Test (Best Model) - Loss: 1.6573 - Accuracy: 0.1952 - F1: 0.1964
sub_11:Test (Best Model) - Loss: 1.6641 - Accuracy: 0.1857 - F1: 0.1835
sub_11:Test (Best Model) - Loss: 1.6800 - Accuracy: 0.1714 - F1: 0.1671
sub_11:Test (Best Model) - Loss: 1.6662 - Accuracy: 0.2333 - F1: 0.2316
sub_11:Test (Best Model) - Loss: 1.6002 - Accuracy: 0.2238 - F1: 0.2231
sub_11:Test (Best Model) - Loss: 1.5974 - Accuracy: 0.2571 - F1: 0.2566
sub_11:Test (Best Model) - Loss: 1.5629 - Accuracy: 0.3000 - F1: 0.2989
sub_11:Test (Best Model) - Loss: 1.6012 - Accuracy: 0.2429 - F1: 0.2453
sub_11:Test (Best Model) - Loss: 1.6135 - Accuracy: 0.2762 - F1: 0.2765
sub_11:Test (Best Model) - Loss: 1.6148 - Accuracy: 0.2667 - F1: 0.2639
sub_11:Test (Best Model) - Loss: 1.5846 - Accuracy: 0.2810 - F1: 0.2763
sub_11:Test (Best Model) - Loss: 1.6245 - Accuracy: 0.2429 - F1: 0.2454
sub_11:Test (Best Model) - Loss: 1.6111 - Accuracy: 0.2762 - F1: 0.2803
sub_11:Test (Best Model) - Loss: 1.5982 - Accuracy: 0.2762 - F1: 0.2810
sub_12:Test (Best Model) - Loss: 1.5768 - Accuracy: 0.2381 - F1: 0.2443
sub_12:Test (Best Model) - Loss: 1.5818 - Accuracy: 0.2524 - F1: 0.2562
sub_12:Test (Best Model) - Loss: 1.5586 - Accuracy: 0.2952 - F1: 0.2863
sub_12:Test (Best Model) - Loss: 1.5445 - Accuracy: 0.3381 - F1: 0.3392
sub_12:Test (Best Model) - Loss: 1.5889 - Accuracy: 0.2381 - F1: 0.2497
sub_12:Test (Best Model) - Loss: 1.5555 - Accuracy: 0.3048 - F1: 0.2744
sub_12:Test (Best Model) - Loss: 1.5487 - Accuracy: 0.2905 - F1: 0.2549
sub_12:Test (Best Model) - Loss: 1.5758 - Accuracy: 0.2810 - F1: 0.2533
sub_12:Test (Best Model) - Loss: 1.5653 - Accuracy: 0.2857 - F1: 0.2561
sub_12:Test (Best Model) - Loss: 1.5552 - Accuracy: 0.3143 - F1: 0.2838
sub_12:Test (Best Model) - Loss: 1.6734 - Accuracy: 0.2190 - F1: 0.2216
sub_12:Test (Best Model) - Loss: 1.6829 - Accuracy: 0.2095 - F1: 0.2213
sub_12:Test (Best Model) - Loss: 1.6897 - Accuracy: 0.2429 - F1: 0.2565
sub_12:Test (Best Model) - Loss: 1.6616 - Accuracy: 0.2190 - F1: 0.2226
sub_12:Test (Best Model) - Loss: 1.6978 - Accuracy: 0.2333 - F1: 0.2470
sub_13:Test (Best Model) - Loss: 1.5748 - Accuracy: 0.2571 - F1: 0.2479
sub_13:Test (Best Model) - Loss: 1.5917 - Accuracy: 0.2095 - F1: 0.1952
sub_13:Test (Best Model) - Loss: 1.5913 - Accuracy: 0.2381 - F1: 0.2294
sub_13:Test (Best Model) - Loss: 1.5950 - Accuracy: 0.2333 - F1: 0.2249
sub_13:Test (Best Model) - Loss: 1.5877 - Accuracy: 0.2333 - F1: 0.2294
sub_13:Test (Best Model) - Loss: 1.6065 - Accuracy: 0.2429 - F1: 0.2322
sub_13:Test (Best Model) - Loss: 1.5803 - Accuracy: 0.2667 - F1: 0.2535
sub_13:Test (Best Model) - Loss: 1.6091 - Accuracy: 0.2190 - F1: 0.2061
sub_13:Test (Best Model) - Loss: 1.5668 - Accuracy: 0.2905 - F1: 0.2829
sub_13:Test (Best Model) - Loss: 1.5752 - Accuracy: 0.3095 - F1: 0.3106
sub_13:Test (Best Model) - Loss: 1.5988 - Accuracy: 0.2524 - F1: 0.2533
sub_13:Test (Best Model) - Loss: 1.5860 - Accuracy: 0.2667 - F1: 0.2615
sub_13:Test (Best Model) - Loss: 1.6145 - Accuracy: 0.2238 - F1: 0.2213
sub_13:Test (Best Model) - Loss: 1.5729 - Accuracy: 0.3000 - F1: 0.2887
sub_13:Test (Best Model) - Loss: 1.6136 - Accuracy: 0.2190 - F1: 0.2113
sub_14:Test (Best Model) - Loss: 1.6930 - Accuracy: 0.2810 - F1: 0.2950
sub_14:Test (Best Model) - Loss: 1.6515 - Accuracy: 0.2381 - F1: 0.2361
sub_14:Test (Best Model) - Loss: 1.6365 - Accuracy: 0.3000 - F1: 0.2967
sub_14:Test (Best Model) - Loss: 1.6455 - Accuracy: 0.2476 - F1: 0.2509
sub_14:Test (Best Model) - Loss: 1.6851 - Accuracy: 0.2190 - F1: 0.2033
sub_14:Test (Best Model) - Loss: 1.5456 - Accuracy: 0.3048 - F1: 0.2926
sub_14:Test (Best Model) - Loss: 1.5886 - Accuracy: 0.2571 - F1: 0.2449
sub_14:Test (Best Model) - Loss: 1.5791 - Accuracy: 0.2905 - F1: 0.2701
sub_14:Test (Best Model) - Loss: 1.5796 - Accuracy: 0.3048 - F1: 0.2914
sub_14:Test (Best Model) - Loss: 1.6114 - Accuracy: 0.2143 - F1: 0.2099
sub_14:Test (Best Model) - Loss: 1.6006 - Accuracy: 0.2905 - F1: 0.2868
sub_14:Test (Best Model) - Loss: 1.6033 - Accuracy: 0.2476 - F1: 0.2352
sub_14:Test (Best Model) - Loss: 1.6115 - Accuracy: 0.2429 - F1: 0.2218
sub_14:Test (Best Model) - Loss: 1.6131 - Accuracy: 0.2381 - F1: 0.2304
sub_14:Test (Best Model) - Loss: 1.6336 - Accuracy: 0.2286 - F1: 0.2233

=== Summary Results ===

acc: 25.93 ± 2.41
F1: 25.50 ± 2.57
acc-in: 30.51 ± 2.67
F1-in: 29.88 ± 2.85
