lr: 0.0001
sub_1:Test (Best Model) - Loss: 3.6537 - Accuracy: 0.2905 - F1: 0.2188
sub_1:Test (Best Model) - Loss: 3.8237 - Accuracy: 0.3190 - F1: 0.2609
sub_1:Test (Best Model) - Loss: 3.4417 - Accuracy: 0.3048 - F1: 0.2445
sub_1:Test (Best Model) - Loss: 3.3786 - Accuracy: 0.3190 - F1: 0.2551
sub_1:Test (Best Model) - Loss: 3.5143 - Accuracy: 0.2952 - F1: 0.2396
sub_1:Test (Best Model) - Loss: 2.3662 - Accuracy: 0.3238 - F1: 0.3294
sub_1:Test (Best Model) - Loss: 2.1725 - Accuracy: 0.3524 - F1: 0.3530
sub_1:Test (Best Model) - Loss: 2.2989 - Accuracy: 0.3286 - F1: 0.3311
sub_1:Test (Best Model) - Loss: 2.0122 - Accuracy: 0.3762 - F1: 0.3775
sub_1:Test (Best Model) - Loss: 2.1204 - Accuracy: 0.3429 - F1: 0.3450
sub_1:Test (Best Model) - Loss: 2.2650 - Accuracy: 0.3000 - F1: 0.3060
sub_1:Test (Best Model) - Loss: 2.2083 - Accuracy: 0.3048 - F1: 0.2997
sub_1:Test (Best Model) - Loss: 2.3547 - Accuracy: 0.2667 - F1: 0.2679
sub_1:Test (Best Model) - Loss: 2.4732 - Accuracy: 0.3095 - F1: 0.3112
sub_1:Test (Best Model) - Loss: 2.2841 - Accuracy: 0.3048 - F1: 0.3152
sub_2:Test (Best Model) - Loss: 2.2941 - Accuracy: 0.2714 - F1: 0.2013
sub_2:Test (Best Model) - Loss: 2.2781 - Accuracy: 0.3476 - F1: 0.2869
sub_2:Test (Best Model) - Loss: 2.3586 - Accuracy: 0.2952 - F1: 0.2353
sub_2:Test (Best Model) - Loss: 2.5383 - Accuracy: 0.3571 - F1: 0.2820
sub_2:Test (Best Model) - Loss: 2.7993 - Accuracy: 0.2952 - F1: 0.2064
sub_2:Test (Best Model) - Loss: 2.2755 - Accuracy: 0.3857 - F1: 0.4000
sub_2:Test (Best Model) - Loss: 2.0823 - Accuracy: 0.3333 - F1: 0.3486
sub_2:Test (Best Model) - Loss: 2.0850 - Accuracy: 0.3714 - F1: 0.3764
sub_2:Test (Best Model) - Loss: 2.2341 - Accuracy: 0.3524 - F1: 0.3575
sub_2:Test (Best Model) - Loss: 2.1978 - Accuracy: 0.2905 - F1: 0.3069
sub_2:Test (Best Model) - Loss: 2.1345 - Accuracy: 0.2905 - F1: 0.3008
sub_2:Test (Best Model) - Loss: 2.0517 - Accuracy: 0.3333 - F1: 0.3431
sub_2:Test (Best Model) - Loss: 2.1760 - Accuracy: 0.2905 - F1: 0.3015
sub_2:Test (Best Model) - Loss: 2.3385 - Accuracy: 0.2667 - F1: 0.2775
sub_2:Test (Best Model) - Loss: 2.1969 - Accuracy: 0.2857 - F1: 0.2988
sub_3:Test (Best Model) - Loss: 2.5869 - Accuracy: 0.2333 - F1: 0.1611
sub_3:Test (Best Model) - Loss: 3.2782 - Accuracy: 0.2429 - F1: 0.1585
sub_3:Test (Best Model) - Loss: 2.6996 - Accuracy: 0.2619 - F1: 0.1880
sub_3:Test (Best Model) - Loss: 2.7255 - Accuracy: 0.2571 - F1: 0.1935
sub_3:Test (Best Model) - Loss: 4.1246 - Accuracy: 0.2190 - F1: 0.1045
sub_3:Test (Best Model) - Loss: 2.4014 - Accuracy: 0.2714 - F1: 0.2730
sub_3:Test (Best Model) - Loss: 2.3162 - Accuracy: 0.2905 - F1: 0.2895
sub_3:Test (Best Model) - Loss: 2.3236 - Accuracy: 0.2905 - F1: 0.2893
sub_3:Test (Best Model) - Loss: 2.3170 - Accuracy: 0.3143 - F1: 0.3086
sub_3:Test (Best Model) - Loss: 2.5634 - Accuracy: 0.3095 - F1: 0.3051
sub_3:Test (Best Model) - Loss: 2.4273 - Accuracy: 0.2762 - F1: 0.2761
sub_3:Test (Best Model) - Loss: 2.6220 - Accuracy: 0.2238 - F1: 0.2224
sub_3:Test (Best Model) - Loss: 2.7451 - Accuracy: 0.2857 - F1: 0.2792
sub_3:Test (Best Model) - Loss: 2.7582 - Accuracy: 0.2810 - F1: 0.2831
sub_3:Test (Best Model) - Loss: 2.4786 - Accuracy: 0.2714 - F1: 0.2642
sub_4:Test (Best Model) - Loss: 2.4456 - Accuracy: 0.3095 - F1: 0.3013
sub_4:Test (Best Model) - Loss: 2.4125 - Accuracy: 0.2476 - F1: 0.2460
sub_4:Test (Best Model) - Loss: 2.4055 - Accuracy: 0.2810 - F1: 0.2784
sub_4:Test (Best Model) - Loss: 2.1896 - Accuracy: 0.3048 - F1: 0.3015
sub_4:Test (Best Model) - Loss: 2.4453 - Accuracy: 0.2714 - F1: 0.2693
sub_4:Test (Best Model) - Loss: 2.7264 - Accuracy: 0.2714 - F1: 0.2706
sub_4:Test (Best Model) - Loss: 2.5294 - Accuracy: 0.2762 - F1: 0.2705
sub_4:Test (Best Model) - Loss: 2.7910 - Accuracy: 0.2571 - F1: 0.2449
sub_4:Test (Best Model) - Loss: 2.6224 - Accuracy: 0.2571 - F1: 0.2464
sub_4:Test (Best Model) - Loss: 2.5050 - Accuracy: 0.3048 - F1: 0.3049
sub_4:Test (Best Model) - Loss: 2.2808 - Accuracy: 0.3333 - F1: 0.3122
sub_4:Test (Best Model) - Loss: 2.1338 - Accuracy: 0.3381 - F1: 0.3167
sub_4:Test (Best Model) - Loss: 2.3299 - Accuracy: 0.3381 - F1: 0.2938
sub_4:Test (Best Model) - Loss: 2.3832 - Accuracy: 0.3333 - F1: 0.3093
sub_4:Test (Best Model) - Loss: 2.1533 - Accuracy: 0.3476 - F1: 0.3312
sub_5:Test (Best Model) - Loss: 3.5948 - Accuracy: 0.3476 - F1: 0.2878
sub_5:Test (Best Model) - Loss: 3.3320 - Accuracy: 0.3476 - F1: 0.2890
sub_5:Test (Best Model) - Loss: 2.9855 - Accuracy: 0.3619 - F1: 0.3050
sub_5:Test (Best Model) - Loss: 2.9959 - Accuracy: 0.3095 - F1: 0.2434
sub_5:Test (Best Model) - Loss: 3.0126 - Accuracy: 0.3571 - F1: 0.2839
sub_5:Test (Best Model) - Loss: 1.9911 - Accuracy: 0.3238 - F1: 0.3356
sub_5:Test (Best Model) - Loss: 2.2066 - Accuracy: 0.3095 - F1: 0.3206
sub_5:Test (Best Model) - Loss: 2.1300 - Accuracy: 0.4095 - F1: 0.4118
sub_5:Test (Best Model) - Loss: 2.0138 - Accuracy: 0.3762 - F1: 0.3868
sub_5:Test (Best Model) - Loss: 2.0660 - Accuracy: 0.3476 - F1: 0.3545
sub_5:Test (Best Model) - Loss: 2.0611 - Accuracy: 0.3381 - F1: 0.3553
sub_5:Test (Best Model) - Loss: 1.9099 - Accuracy: 0.3381 - F1: 0.3432
sub_5:Test (Best Model) - Loss: 2.1162 - Accuracy: 0.3571 - F1: 0.3726
sub_5:Test (Best Model) - Loss: 1.9538 - Accuracy: 0.2905 - F1: 0.3110
sub_5:Test (Best Model) - Loss: 2.0307 - Accuracy: 0.3381 - F1: 0.3547
sub_6:Test (Best Model) - Loss: 2.6927 - Accuracy: 0.2286 - F1: 0.2223
sub_6:Test (Best Model) - Loss: 2.4737 - Accuracy: 0.2381 - F1: 0.2384
sub_6:Test (Best Model) - Loss: 2.4703 - Accuracy: 0.1619 - F1: 0.1614
sub_6:Test (Best Model) - Loss: 2.5816 - Accuracy: 0.2667 - F1: 0.2657
sub_6:Test (Best Model) - Loss: 2.3794 - Accuracy: 0.2952 - F1: 0.2830
sub_6:Test (Best Model) - Loss: 2.5771 - Accuracy: 0.2333 - F1: 0.2298
sub_6:Test (Best Model) - Loss: 2.5505 - Accuracy: 0.2429 - F1: 0.2387
sub_6:Test (Best Model) - Loss: 2.3431 - Accuracy: 0.2429 - F1: 0.2365
sub_6:Test (Best Model) - Loss: 2.3989 - Accuracy: 0.2143 - F1: 0.2056
sub_6:Test (Best Model) - Loss: 2.1983 - Accuracy: 0.2857 - F1: 0.2731
sub_6:Test (Best Model) - Loss: 2.0544 - Accuracy: 0.2762 - F1: 0.2705
sub_6:Test (Best Model) - Loss: 2.1329 - Accuracy: 0.2619 - F1: 0.2588
sub_6:Test (Best Model) - Loss: 2.1091 - Accuracy: 0.2905 - F1: 0.2871
sub_6:Test (Best Model) - Loss: 2.2031 - Accuracy: 0.2667 - F1: 0.2610
sub_6:Test (Best Model) - Loss: 2.2193 - Accuracy: 0.2810 - F1: 0.2798
sub_7:Test (Best Model) - Loss: 2.6865 - Accuracy: 0.2619 - F1: 0.2491
sub_7:Test (Best Model) - Loss: 2.7976 - Accuracy: 0.2095 - F1: 0.1993
sub_7:Test (Best Model) - Loss: 2.7541 - Accuracy: 0.2333 - F1: 0.2083
sub_7:Test (Best Model) - Loss: 2.5864 - Accuracy: 0.2286 - F1: 0.2179
sub_7:Test (Best Model) - Loss: 2.8231 - Accuracy: 0.2476 - F1: 0.2152
sub_7:Test (Best Model) - Loss: 2.4611 - Accuracy: 0.2286 - F1: 0.2308
sub_7:Test (Best Model) - Loss: 2.4712 - Accuracy: 0.2095 - F1: 0.2160
sub_7:Test (Best Model) - Loss: 2.5979 - Accuracy: 0.2333 - F1: 0.2379
sub_7:Test (Best Model) - Loss: 2.3789 - Accuracy: 0.2238 - F1: 0.2276
sub_7:Test (Best Model) - Loss: 2.4525 - Accuracy: 0.1905 - F1: 0.1870
sub_7:Test (Best Model) - Loss: 2.2886 - Accuracy: 0.2286 - F1: 0.2267
sub_7:Test (Best Model) - Loss: 2.2889 - Accuracy: 0.2429 - F1: 0.2402
sub_7:Test (Best Model) - Loss: 2.3914 - Accuracy: 0.2000 - F1: 0.2047
sub_7:Test (Best Model) - Loss: 2.2902 - Accuracy: 0.2381 - F1: 0.2311
sub_7:Test (Best Model) - Loss: 2.1466 - Accuracy: 0.2238 - F1: 0.2268
sub_8:Test (Best Model) - Loss: 2.1829 - Accuracy: 0.3714 - F1: 0.3424
sub_8:Test (Best Model) - Loss: 2.4235 - Accuracy: 0.3810 - F1: 0.3526
sub_8:Test (Best Model) - Loss: 2.4202 - Accuracy: 0.3333 - F1: 0.3064
sub_8:Test (Best Model) - Loss: 2.5560 - Accuracy: 0.3429 - F1: 0.3141
sub_8:Test (Best Model) - Loss: 2.5681 - Accuracy: 0.3667 - F1: 0.3351
sub_8:Test (Best Model) - Loss: 2.3952 - Accuracy: 0.3714 - F1: 0.3838
sub_8:Test (Best Model) - Loss: 2.3448 - Accuracy: 0.3429 - F1: 0.3533
sub_8:Test (Best Model) - Loss: 2.1322 - Accuracy: 0.3381 - F1: 0.3442
sub_8:Test (Best Model) - Loss: 2.0796 - Accuracy: 0.3286 - F1: 0.3386
sub_8:Test (Best Model) - Loss: 2.0782 - Accuracy: 0.3476 - F1: 0.3631
sub_8:Test (Best Model) - Loss: 2.3006 - Accuracy: 0.3571 - F1: 0.3614
sub_8:Test (Best Model) - Loss: 2.3212 - Accuracy: 0.3238 - F1: 0.3245
sub_8:Test (Best Model) - Loss: 2.3194 - Accuracy: 0.3571 - F1: 0.3558
sub_8:Test (Best Model) - Loss: 2.3068 - Accuracy: 0.3524 - F1: 0.3451
sub_8:Test (Best Model) - Loss: 2.3089 - Accuracy: 0.3333 - F1: 0.3389
sub_9:Test (Best Model) - Loss: 2.5695 - Accuracy: 0.2238 - F1: 0.2061
sub_9:Test (Best Model) - Loss: 2.4451 - Accuracy: 0.2476 - F1: 0.2400
sub_9:Test (Best Model) - Loss: 2.4653 - Accuracy: 0.3048 - F1: 0.2751
sub_9:Test (Best Model) - Loss: 2.7087 - Accuracy: 0.2333 - F1: 0.1995
sub_9:Test (Best Model) - Loss: 2.6182 - Accuracy: 0.2476 - F1: 0.2166
sub_9:Test (Best Model) - Loss: 2.2214 - Accuracy: 0.2619 - F1: 0.2668
sub_9:Test (Best Model) - Loss: 2.4553 - Accuracy: 0.3190 - F1: 0.2988
sub_9:Test (Best Model) - Loss: 2.4756 - Accuracy: 0.2714 - F1: 0.2676
sub_9:Test (Best Model) - Loss: 2.4583 - Accuracy: 0.3095 - F1: 0.2952
sub_9:Test (Best Model) - Loss: 2.3616 - Accuracy: 0.3143 - F1: 0.3007
sub_9:Test (Best Model) - Loss: 2.6347 - Accuracy: 0.2429 - F1: 0.2444
sub_9:Test (Best Model) - Loss: 2.4195 - Accuracy: 0.2857 - F1: 0.2909
sub_9:Test (Best Model) - Loss: 2.3270 - Accuracy: 0.3143 - F1: 0.3224
sub_9:Test (Best Model) - Loss: 2.3032 - Accuracy: 0.2762 - F1: 0.2922
sub_9:Test (Best Model) - Loss: 2.2355 - Accuracy: 0.2952 - F1: 0.3034
sub_10:Test (Best Model) - Loss: 2.3792 - Accuracy: 0.2762 - F1: 0.2721
sub_10:Test (Best Model) - Loss: 2.2328 - Accuracy: 0.3143 - F1: 0.2981
sub_10:Test (Best Model) - Loss: 2.4627 - Accuracy: 0.2667 - F1: 0.2605
sub_10:Test (Best Model) - Loss: 2.2372 - Accuracy: 0.2667 - F1: 0.2554
sub_10:Test (Best Model) - Loss: 2.2449 - Accuracy: 0.2714 - F1: 0.2592
sub_10:Test (Best Model) - Loss: 2.3845 - Accuracy: 0.2762 - F1: 0.2690
sub_10:Test (Best Model) - Loss: 2.1916 - Accuracy: 0.2857 - F1: 0.2766
sub_10:Test (Best Model) - Loss: 2.2140 - Accuracy: 0.2810 - F1: 0.2721
sub_10:Test (Best Model) - Loss: 2.1447 - Accuracy: 0.2905 - F1: 0.2891
sub_10:Test (Best Model) - Loss: 2.4840 - Accuracy: 0.2619 - F1: 0.2539
sub_10:Test (Best Model) - Loss: 2.3656 - Accuracy: 0.2429 - F1: 0.2410
sub_10:Test (Best Model) - Loss: 2.1531 - Accuracy: 0.2619 - F1: 0.2616
sub_10:Test (Best Model) - Loss: 2.4379 - Accuracy: 0.2810 - F1: 0.2780
sub_10:Test (Best Model) - Loss: 2.3777 - Accuracy: 0.2619 - F1: 0.2606
sub_10:Test (Best Model) - Loss: 2.3152 - Accuracy: 0.2524 - F1: 0.2537
sub_11:Test (Best Model) - Loss: 2.6606 - Accuracy: 0.2190 - F1: 0.2069
sub_11:Test (Best Model) - Loss: 2.6500 - Accuracy: 0.2333 - F1: 0.2259
sub_11:Test (Best Model) - Loss: 2.6844 - Accuracy: 0.2524 - F1: 0.2367
sub_11:Test (Best Model) - Loss: 2.8160 - Accuracy: 0.2143 - F1: 0.1950
sub_11:Test (Best Model) - Loss: 2.5975 - Accuracy: 0.2810 - F1: 0.2527
sub_11:Test (Best Model) - Loss: 2.1766 - Accuracy: 0.2905 - F1: 0.2984
sub_11:Test (Best Model) - Loss: 2.3492 - Accuracy: 0.3048 - F1: 0.3091
sub_11:Test (Best Model) - Loss: 1.9306 - Accuracy: 0.3000 - F1: 0.3040
sub_11:Test (Best Model) - Loss: 2.2043 - Accuracy: 0.2905 - F1: 0.2972
sub_11:Test (Best Model) - Loss: 2.3375 - Accuracy: 0.2810 - F1: 0.2889
sub_11:Test (Best Model) - Loss: 2.3491 - Accuracy: 0.2762 - F1: 0.2800
sub_11:Test (Best Model) - Loss: 2.1172 - Accuracy: 0.3048 - F1: 0.3008
sub_11:Test (Best Model) - Loss: 2.2698 - Accuracy: 0.3000 - F1: 0.3085
sub_11:Test (Best Model) - Loss: 2.3311 - Accuracy: 0.3238 - F1: 0.3309
sub_11:Test (Best Model) - Loss: 2.3132 - Accuracy: 0.3000 - F1: 0.3023
sub_12:Test (Best Model) - Loss: 1.9391 - Accuracy: 0.3190 - F1: 0.3330
sub_12:Test (Best Model) - Loss: 1.9658 - Accuracy: 0.3286 - F1: 0.3396
sub_12:Test (Best Model) - Loss: 1.9550 - Accuracy: 0.3714 - F1: 0.3663
sub_12:Test (Best Model) - Loss: 1.8489 - Accuracy: 0.4095 - F1: 0.4134
sub_12:Test (Best Model) - Loss: 2.0246 - Accuracy: 0.2905 - F1: 0.3021
sub_12:Test (Best Model) - Loss: 2.9790 - Accuracy: 0.3048 - F1: 0.2437
sub_12:Test (Best Model) - Loss: 2.7254 - Accuracy: 0.2952 - F1: 0.2301
sub_12:Test (Best Model) - Loss: 3.0932 - Accuracy: 0.3190 - F1: 0.2600
sub_12:Test (Best Model) - Loss: 3.1796 - Accuracy: 0.3143 - F1: 0.2540
sub_12:Test (Best Model) - Loss: 3.0415 - Accuracy: 0.2952 - F1: 0.2288
sub_12:Test (Best Model) - Loss: 3.1015 - Accuracy: 0.2619 - F1: 0.2733
sub_12:Test (Best Model) - Loss: 2.9336 - Accuracy: 0.2238 - F1: 0.2427
sub_12:Test (Best Model) - Loss: 2.6869 - Accuracy: 0.2286 - F1: 0.2453
sub_12:Test (Best Model) - Loss: 2.7335 - Accuracy: 0.2429 - F1: 0.2619
sub_12:Test (Best Model) - Loss: 3.3148 - Accuracy: 0.2524 - F1: 0.2705
sub_13:Test (Best Model) - Loss: 2.0561 - Accuracy: 0.2952 - F1: 0.2861
sub_13:Test (Best Model) - Loss: 2.2686 - Accuracy: 0.2524 - F1: 0.2401
sub_13:Test (Best Model) - Loss: 2.1130 - Accuracy: 0.3095 - F1: 0.2899
sub_13:Test (Best Model) - Loss: 2.0661 - Accuracy: 0.3048 - F1: 0.2987
sub_13:Test (Best Model) - Loss: 1.9945 - Accuracy: 0.2905 - F1: 0.2743
sub_13:Test (Best Model) - Loss: 2.2580 - Accuracy: 0.2762 - F1: 0.2713
sub_13:Test (Best Model) - Loss: 2.3601 - Accuracy: 0.2381 - F1: 0.2278
sub_13:Test (Best Model) - Loss: 2.4611 - Accuracy: 0.2381 - F1: 0.2314
sub_13:Test (Best Model) - Loss: 2.1139 - Accuracy: 0.2429 - F1: 0.2399
sub_13:Test (Best Model) - Loss: 2.2355 - Accuracy: 0.3000 - F1: 0.2934
sub_13:Test (Best Model) - Loss: 2.2300 - Accuracy: 0.2762 - F1: 0.2517
sub_13:Test (Best Model) - Loss: 2.2036 - Accuracy: 0.2952 - F1: 0.2746
sub_13:Test (Best Model) - Loss: 2.2420 - Accuracy: 0.2810 - F1: 0.2418
sub_13:Test (Best Model) - Loss: 2.0019 - Accuracy: 0.2952 - F1: 0.2684
sub_13:Test (Best Model) - Loss: 2.3139 - Accuracy: 0.2667 - F1: 0.2453
sub_14:Test (Best Model) - Loss: 2.5774 - Accuracy: 0.2857 - F1: 0.3074
sub_14:Test (Best Model) - Loss: 2.4849 - Accuracy: 0.2905 - F1: 0.3077
sub_14:Test (Best Model) - Loss: 2.3798 - Accuracy: 0.3714 - F1: 0.3925
sub_14:Test (Best Model) - Loss: 2.5825 - Accuracy: 0.3048 - F1: 0.3104
sub_14:Test (Best Model) - Loss: 2.9738 - Accuracy: 0.2476 - F1: 0.2525
sub_14:Test (Best Model) - Loss: 1.8604 - Accuracy: 0.4286 - F1: 0.4121
sub_14:Test (Best Model) - Loss: 2.1966 - Accuracy: 0.3333 - F1: 0.3129
sub_14:Test (Best Model) - Loss: 2.2473 - Accuracy: 0.4095 - F1: 0.3769
sub_14:Test (Best Model) - Loss: 2.1467 - Accuracy: 0.4143 - F1: 0.3963
sub_14:Test (Best Model) - Loss: 2.1469 - Accuracy: 0.3333 - F1: 0.3307
sub_14:Test (Best Model) - Loss: 2.2942 - Accuracy: 0.3238 - F1: 0.2838
sub_14:Test (Best Model) - Loss: 2.1696 - Accuracy: 0.3714 - F1: 0.3287
sub_14:Test (Best Model) - Loss: 2.2555 - Accuracy: 0.3286 - F1: 0.2867
sub_14:Test (Best Model) - Loss: 2.3101 - Accuracy: 0.3524 - F1: 0.3069
sub_14:Test (Best Model) - Loss: 2.4732 - Accuracy: 0.3238 - F1: 0.2846

=== Summary Results ===

acc: 29.40 ± 3.49
F1: 28.22 ± 3.41
acc-in: 35.06 ± 4.04
F1-in: 34.40 ± 4.01
