lr: 0.0001
sub_1:Test (Best Model) - Loss: 4.0046 - Accuracy: 0.2857 - F1: 0.2133
sub_1:Test (Best Model) - Loss: 4.0859 - Accuracy: 0.3048 - F1: 0.2399
sub_1:Test (Best Model) - Loss: 4.0328 - Accuracy: 0.3286 - F1: 0.2768
sub_1:Test (Best Model) - Loss: 3.7547 - Accuracy: 0.2952 - F1: 0.2288
sub_1:Test (Best Model) - Loss: 3.7217 - Accuracy: 0.3048 - F1: 0.2458
sub_1:Test (Best Model) - Loss: 2.4086 - Accuracy: 0.3190 - F1: 0.3224
sub_1:Test (Best Model) - Loss: 2.3510 - Accuracy: 0.3095 - F1: 0.3096
sub_1:Test (Best Model) - Loss: 2.4379 - Accuracy: 0.3143 - F1: 0.3242
sub_1:Test (Best Model) - Loss: 2.2706 - Accuracy: 0.3714 - F1: 0.3778
sub_1:Test (Best Model) - Loss: 2.5238 - Accuracy: 0.3333 - F1: 0.3346
sub_1:Test (Best Model) - Loss: 2.4750 - Accuracy: 0.3143 - F1: 0.3253
sub_1:Test (Best Model) - Loss: 2.3843 - Accuracy: 0.3286 - F1: 0.3242
sub_1:Test (Best Model) - Loss: 2.3486 - Accuracy: 0.2857 - F1: 0.2898
sub_1:Test (Best Model) - Loss: 2.3897 - Accuracy: 0.2810 - F1: 0.2864
sub_1:Test (Best Model) - Loss: 2.3493 - Accuracy: 0.2857 - F1: 0.2855
sub_2:Test (Best Model) - Loss: 2.4693 - Accuracy: 0.2810 - F1: 0.2028
sub_2:Test (Best Model) - Loss: 2.3755 - Accuracy: 0.3429 - F1: 0.2894
sub_2:Test (Best Model) - Loss: 2.3424 - Accuracy: 0.3048 - F1: 0.2443
sub_2:Test (Best Model) - Loss: 2.7503 - Accuracy: 0.3429 - F1: 0.2733
sub_2:Test (Best Model) - Loss: 3.0488 - Accuracy: 0.3000 - F1: 0.2038
sub_2:Test (Best Model) - Loss: 2.3058 - Accuracy: 0.3524 - F1: 0.3632
sub_2:Test (Best Model) - Loss: 2.1446 - Accuracy: 0.3095 - F1: 0.3278
sub_2:Test (Best Model) - Loss: 2.1319 - Accuracy: 0.3667 - F1: 0.3771
sub_2:Test (Best Model) - Loss: 2.2286 - Accuracy: 0.3238 - F1: 0.3355
sub_2:Test (Best Model) - Loss: 2.2979 - Accuracy: 0.3190 - F1: 0.3403
sub_2:Test (Best Model) - Loss: 2.0771 - Accuracy: 0.2952 - F1: 0.3049
sub_2:Test (Best Model) - Loss: 2.1352 - Accuracy: 0.3429 - F1: 0.3578
sub_2:Test (Best Model) - Loss: 2.1518 - Accuracy: 0.2905 - F1: 0.3061
sub_2:Test (Best Model) - Loss: 2.3185 - Accuracy: 0.3190 - F1: 0.3322
sub_2:Test (Best Model) - Loss: 2.2172 - Accuracy: 0.3190 - F1: 0.3301
sub_3:Test (Best Model) - Loss: 2.5651 - Accuracy: 0.2571 - F1: 0.2046
sub_3:Test (Best Model) - Loss: 3.1366 - Accuracy: 0.2333 - F1: 0.1492
sub_3:Test (Best Model) - Loss: 2.9057 - Accuracy: 0.2667 - F1: 0.2053
sub_3:Test (Best Model) - Loss: 3.2035 - Accuracy: 0.2381 - F1: 0.1671
sub_3:Test (Best Model) - Loss: 4.6192 - Accuracy: 0.2143 - F1: 0.0958
sub_3:Test (Best Model) - Loss: 2.5277 - Accuracy: 0.2905 - F1: 0.2908
sub_3:Test (Best Model) - Loss: 2.4433 - Accuracy: 0.2714 - F1: 0.2779
sub_3:Test (Best Model) - Loss: 2.4867 - Accuracy: 0.3190 - F1: 0.3191
sub_3:Test (Best Model) - Loss: 2.4720 - Accuracy: 0.3095 - F1: 0.3016
sub_3:Test (Best Model) - Loss: 2.5726 - Accuracy: 0.2952 - F1: 0.2923
sub_3:Test (Best Model) - Loss: 2.9640 - Accuracy: 0.2762 - F1: 0.2757
sub_3:Test (Best Model) - Loss: 2.8298 - Accuracy: 0.2476 - F1: 0.2491
sub_3:Test (Best Model) - Loss: 3.1007 - Accuracy: 0.2667 - F1: 0.2520
sub_3:Test (Best Model) - Loss: 2.8711 - Accuracy: 0.3048 - F1: 0.3059
sub_3:Test (Best Model) - Loss: 2.9964 - Accuracy: 0.2476 - F1: 0.2386
sub_4:Test (Best Model) - Loss: 2.3890 - Accuracy: 0.3238 - F1: 0.3162
sub_4:Test (Best Model) - Loss: 2.4323 - Accuracy: 0.2667 - F1: 0.2660
sub_4:Test (Best Model) - Loss: 2.5188 - Accuracy: 0.2762 - F1: 0.2729
sub_4:Test (Best Model) - Loss: 2.2582 - Accuracy: 0.3381 - F1: 0.3349
sub_4:Test (Best Model) - Loss: 2.4756 - Accuracy: 0.2857 - F1: 0.2799
sub_4:Test (Best Model) - Loss: 2.8306 - Accuracy: 0.2667 - F1: 0.2543
sub_4:Test (Best Model) - Loss: 2.8222 - Accuracy: 0.3048 - F1: 0.2942
sub_4:Test (Best Model) - Loss: 2.8787 - Accuracy: 0.2714 - F1: 0.2643
sub_4:Test (Best Model) - Loss: 2.7191 - Accuracy: 0.2857 - F1: 0.2758
sub_4:Test (Best Model) - Loss: 2.7369 - Accuracy: 0.2667 - F1: 0.2553
sub_4:Test (Best Model) - Loss: 2.1900 - Accuracy: 0.2952 - F1: 0.2811
sub_4:Test (Best Model) - Loss: 2.2727 - Accuracy: 0.3714 - F1: 0.3342
sub_4:Test (Best Model) - Loss: 2.2085 - Accuracy: 0.3619 - F1: 0.3091
sub_4:Test (Best Model) - Loss: 2.3820 - Accuracy: 0.3190 - F1: 0.2952
sub_4:Test (Best Model) - Loss: 2.2464 - Accuracy: 0.3143 - F1: 0.2821
sub_5:Test (Best Model) - Loss: 3.6991 - Accuracy: 0.3571 - F1: 0.2950
sub_5:Test (Best Model) - Loss: 3.2715 - Accuracy: 0.3476 - F1: 0.2788
sub_5:Test (Best Model) - Loss: 2.9546 - Accuracy: 0.3762 - F1: 0.3088
sub_5:Test (Best Model) - Loss: 3.2701 - Accuracy: 0.3524 - F1: 0.3010
sub_5:Test (Best Model) - Loss: 3.3398 - Accuracy: 0.3524 - F1: 0.2763
sub_5:Test (Best Model) - Loss: 2.2812 - Accuracy: 0.3714 - F1: 0.3811
sub_5:Test (Best Model) - Loss: 2.3668 - Accuracy: 0.3333 - F1: 0.3450
sub_5:Test (Best Model) - Loss: 2.2040 - Accuracy: 0.3762 - F1: 0.3800
sub_5:Test (Best Model) - Loss: 2.0863 - Accuracy: 0.3524 - F1: 0.3668
sub_5:Test (Best Model) - Loss: 2.2849 - Accuracy: 0.3048 - F1: 0.3177
sub_5:Test (Best Model) - Loss: 2.1891 - Accuracy: 0.3333 - F1: 0.3516
sub_5:Test (Best Model) - Loss: 2.0627 - Accuracy: 0.3238 - F1: 0.3423
sub_5:Test (Best Model) - Loss: 2.1860 - Accuracy: 0.3333 - F1: 0.3482
sub_5:Test (Best Model) - Loss: 2.0256 - Accuracy: 0.3048 - F1: 0.3212
sub_5:Test (Best Model) - Loss: 1.9672 - Accuracy: 0.3476 - F1: 0.3619
sub_6:Test (Best Model) - Loss: 2.8034 - Accuracy: 0.2238 - F1: 0.2242
sub_6:Test (Best Model) - Loss: 2.5651 - Accuracy: 0.2810 - F1: 0.2839
sub_6:Test (Best Model) - Loss: 2.7459 - Accuracy: 0.2143 - F1: 0.2144
sub_6:Test (Best Model) - Loss: 2.5951 - Accuracy: 0.2524 - F1: 0.2474
sub_6:Test (Best Model) - Loss: 2.4672 - Accuracy: 0.2667 - F1: 0.2585
sub_6:Test (Best Model) - Loss: 2.6624 - Accuracy: 0.2476 - F1: 0.2406
sub_6:Test (Best Model) - Loss: 2.6206 - Accuracy: 0.2714 - F1: 0.2641
sub_6:Test (Best Model) - Loss: 2.1611 - Accuracy: 0.2667 - F1: 0.2577
sub_6:Test (Best Model) - Loss: 2.5263 - Accuracy: 0.2190 - F1: 0.2152
sub_6:Test (Best Model) - Loss: 2.2297 - Accuracy: 0.3048 - F1: 0.2922
sub_6:Test (Best Model) - Loss: 2.0908 - Accuracy: 0.3190 - F1: 0.3163
sub_6:Test (Best Model) - Loss: 2.2625 - Accuracy: 0.2381 - F1: 0.2356
sub_6:Test (Best Model) - Loss: 2.2456 - Accuracy: 0.3143 - F1: 0.3056
sub_6:Test (Best Model) - Loss: 2.3214 - Accuracy: 0.2667 - F1: 0.2571
sub_6:Test (Best Model) - Loss: 2.2963 - Accuracy: 0.3286 - F1: 0.3233
sub_7:Test (Best Model) - Loss: 2.9466 - Accuracy: 0.2667 - F1: 0.2483
sub_7:Test (Best Model) - Loss: 3.1848 - Accuracy: 0.2381 - F1: 0.2159
sub_7:Test (Best Model) - Loss: 2.8411 - Accuracy: 0.2714 - F1: 0.2407
sub_7:Test (Best Model) - Loss: 2.7151 - Accuracy: 0.2190 - F1: 0.1985
sub_7:Test (Best Model) - Loss: 2.8632 - Accuracy: 0.2286 - F1: 0.1942
sub_7:Test (Best Model) - Loss: 2.5279 - Accuracy: 0.2524 - F1: 0.2577
sub_7:Test (Best Model) - Loss: 2.5881 - Accuracy: 0.2190 - F1: 0.2269
sub_7:Test (Best Model) - Loss: 2.7264 - Accuracy: 0.2048 - F1: 0.2096
sub_7:Test (Best Model) - Loss: 2.4563 - Accuracy: 0.2143 - F1: 0.2216
sub_7:Test (Best Model) - Loss: 2.4143 - Accuracy: 0.2000 - F1: 0.1970
sub_7:Test (Best Model) - Loss: 2.2943 - Accuracy: 0.2762 - F1: 0.2790
sub_7:Test (Best Model) - Loss: 2.4179 - Accuracy: 0.2095 - F1: 0.2041
sub_7:Test (Best Model) - Loss: 2.4777 - Accuracy: 0.2571 - F1: 0.2550
sub_7:Test (Best Model) - Loss: 2.3416 - Accuracy: 0.2333 - F1: 0.2347
sub_7:Test (Best Model) - Loss: 2.1638 - Accuracy: 0.2286 - F1: 0.2274
sub_8:Test (Best Model) - Loss: 2.3102 - Accuracy: 0.4095 - F1: 0.3814
sub_8:Test (Best Model) - Loss: 2.6479 - Accuracy: 0.4000 - F1: 0.3686
sub_8:Test (Best Model) - Loss: 2.6834 - Accuracy: 0.3667 - F1: 0.3365
sub_8:Test (Best Model) - Loss: 2.5092 - Accuracy: 0.3381 - F1: 0.3162
sub_8:Test (Best Model) - Loss: 2.4782 - Accuracy: 0.3524 - F1: 0.3220
sub_8:Test (Best Model) - Loss: 2.3600 - Accuracy: 0.3667 - F1: 0.3720
sub_8:Test (Best Model) - Loss: 2.3905 - Accuracy: 0.3048 - F1: 0.3174
sub_8:Test (Best Model) - Loss: 2.2896 - Accuracy: 0.3667 - F1: 0.3698
sub_8:Test (Best Model) - Loss: 2.2059 - Accuracy: 0.3667 - F1: 0.3713
sub_8:Test (Best Model) - Loss: 2.2162 - Accuracy: 0.3524 - F1: 0.3693
sub_8:Test (Best Model) - Loss: 2.3788 - Accuracy: 0.3381 - F1: 0.3365
sub_8:Test (Best Model) - Loss: 2.2712 - Accuracy: 0.3381 - F1: 0.3333
sub_8:Test (Best Model) - Loss: 2.3187 - Accuracy: 0.3286 - F1: 0.3253
sub_8:Test (Best Model) - Loss: 2.4247 - Accuracy: 0.3429 - F1: 0.3242
sub_8:Test (Best Model) - Loss: 2.4736 - Accuracy: 0.3429 - F1: 0.3430
sub_9:Test (Best Model) - Loss: 2.6334 - Accuracy: 0.2381 - F1: 0.2226
sub_9:Test (Best Model) - Loss: 2.5318 - Accuracy: 0.2810 - F1: 0.2661
sub_9:Test (Best Model) - Loss: 2.4669 - Accuracy: 0.3048 - F1: 0.2743
sub_9:Test (Best Model) - Loss: 3.0581 - Accuracy: 0.2429 - F1: 0.2088
sub_9:Test (Best Model) - Loss: 2.6785 - Accuracy: 0.2762 - F1: 0.2461
sub_9:Test (Best Model) - Loss: 2.5105 - Accuracy: 0.2857 - F1: 0.2769
sub_9:Test (Best Model) - Loss: 2.5615 - Accuracy: 0.2810 - F1: 0.2684
sub_9:Test (Best Model) - Loss: 2.5905 - Accuracy: 0.2667 - F1: 0.2581
sub_9:Test (Best Model) - Loss: 2.3492 - Accuracy: 0.3000 - F1: 0.2870
sub_9:Test (Best Model) - Loss: 2.4304 - Accuracy: 0.3190 - F1: 0.2984
sub_9:Test (Best Model) - Loss: 2.6561 - Accuracy: 0.2286 - F1: 0.2166
sub_9:Test (Best Model) - Loss: 2.3898 - Accuracy: 0.3238 - F1: 0.3291
sub_9:Test (Best Model) - Loss: 2.3039 - Accuracy: 0.3048 - F1: 0.3100
sub_9:Test (Best Model) - Loss: 2.3955 - Accuracy: 0.2905 - F1: 0.3016
sub_9:Test (Best Model) - Loss: 2.3726 - Accuracy: 0.2714 - F1: 0.2778
sub_10:Test (Best Model) - Loss: 2.3085 - Accuracy: 0.2857 - F1: 0.2841
sub_10:Test (Best Model) - Loss: 2.3450 - Accuracy: 0.3286 - F1: 0.3165
sub_10:Test (Best Model) - Loss: 2.4541 - Accuracy: 0.3000 - F1: 0.2932
sub_10:Test (Best Model) - Loss: 2.3480 - Accuracy: 0.3000 - F1: 0.2913
sub_10:Test (Best Model) - Loss: 2.2544 - Accuracy: 0.3000 - F1: 0.2846
sub_10:Test (Best Model) - Loss: 2.3158 - Accuracy: 0.3000 - F1: 0.2924
sub_10:Test (Best Model) - Loss: 2.2553 - Accuracy: 0.2905 - F1: 0.2825
sub_10:Test (Best Model) - Loss: 2.2936 - Accuracy: 0.2714 - F1: 0.2632
sub_10:Test (Best Model) - Loss: 2.2541 - Accuracy: 0.2810 - F1: 0.2735
sub_10:Test (Best Model) - Loss: 2.4568 - Accuracy: 0.2857 - F1: 0.2774
sub_10:Test (Best Model) - Loss: 2.4257 - Accuracy: 0.2952 - F1: 0.2916
sub_10:Test (Best Model) - Loss: 2.3255 - Accuracy: 0.2952 - F1: 0.2918
sub_10:Test (Best Model) - Loss: 2.4368 - Accuracy: 0.3095 - F1: 0.3045
sub_10:Test (Best Model) - Loss: 2.3315 - Accuracy: 0.2667 - F1: 0.2637
sub_10:Test (Best Model) - Loss: 2.5411 - Accuracy: 0.2381 - F1: 0.2373
sub_11:Test (Best Model) - Loss: 2.7273 - Accuracy: 0.2524 - F1: 0.2349
sub_11:Test (Best Model) - Loss: 2.8631 - Accuracy: 0.2333 - F1: 0.2210
sub_11:Test (Best Model) - Loss: 2.8401 - Accuracy: 0.2381 - F1: 0.2269
sub_11:Test (Best Model) - Loss: 2.7878 - Accuracy: 0.2333 - F1: 0.2109
sub_11:Test (Best Model) - Loss: 2.7627 - Accuracy: 0.2905 - F1: 0.2684
sub_11:Test (Best Model) - Loss: 2.3071 - Accuracy: 0.2952 - F1: 0.3008
sub_11:Test (Best Model) - Loss: 2.2915 - Accuracy: 0.2952 - F1: 0.3024
sub_11:Test (Best Model) - Loss: 2.0214 - Accuracy: 0.3333 - F1: 0.3379
sub_11:Test (Best Model) - Loss: 2.3320 - Accuracy: 0.3143 - F1: 0.3202
sub_11:Test (Best Model) - Loss: 2.5009 - Accuracy: 0.2810 - F1: 0.2868
sub_11:Test (Best Model) - Loss: 2.4091 - Accuracy: 0.2857 - F1: 0.2863
sub_11:Test (Best Model) - Loss: 2.3347 - Accuracy: 0.3333 - F1: 0.3307
sub_11:Test (Best Model) - Loss: 2.2810 - Accuracy: 0.3000 - F1: 0.3099
sub_11:Test (Best Model) - Loss: 2.3636 - Accuracy: 0.3000 - F1: 0.3058
sub_11:Test (Best Model) - Loss: 2.2795 - Accuracy: 0.3429 - F1: 0.3420
sub_12:Test (Best Model) - Loss: 1.9593 - Accuracy: 0.3143 - F1: 0.3294
sub_12:Test (Best Model) - Loss: 1.8801 - Accuracy: 0.3429 - F1: 0.3508
sub_12:Test (Best Model) - Loss: 1.8562 - Accuracy: 0.3952 - F1: 0.3815
sub_12:Test (Best Model) - Loss: 1.8702 - Accuracy: 0.3714 - F1: 0.3701
sub_12:Test (Best Model) - Loss: 2.0410 - Accuracy: 0.3333 - F1: 0.3408
sub_12:Test (Best Model) - Loss: 3.3108 - Accuracy: 0.3095 - F1: 0.2461
sub_12:Test (Best Model) - Loss: 3.0556 - Accuracy: 0.2952 - F1: 0.2293
sub_12:Test (Best Model) - Loss: 3.2190 - Accuracy: 0.3143 - F1: 0.2538
sub_12:Test (Best Model) - Loss: 3.3426 - Accuracy: 0.3095 - F1: 0.2495
sub_12:Test (Best Model) - Loss: 3.1740 - Accuracy: 0.3095 - F1: 0.2500
sub_12:Test (Best Model) - Loss: 2.9209 - Accuracy: 0.2714 - F1: 0.2840
sub_12:Test (Best Model) - Loss: 3.0821 - Accuracy: 0.2810 - F1: 0.3026
sub_12:Test (Best Model) - Loss: 2.7324 - Accuracy: 0.2429 - F1: 0.2582
sub_12:Test (Best Model) - Loss: 2.7192 - Accuracy: 0.2905 - F1: 0.3041
sub_12:Test (Best Model) - Loss: 3.1006 - Accuracy: 0.2333 - F1: 0.2494
sub_13:Test (Best Model) - Loss: 2.1243 - Accuracy: 0.2952 - F1: 0.2857
sub_13:Test (Best Model) - Loss: 2.1958 - Accuracy: 0.2286 - F1: 0.2246
sub_13:Test (Best Model) - Loss: 2.2031 - Accuracy: 0.2905 - F1: 0.2730
sub_13:Test (Best Model) - Loss: 2.1067 - Accuracy: 0.2524 - F1: 0.2464
sub_13:Test (Best Model) - Loss: 2.1823 - Accuracy: 0.2857 - F1: 0.2754
sub_13:Test (Best Model) - Loss: 2.3242 - Accuracy: 0.2667 - F1: 0.2619
sub_13:Test (Best Model) - Loss: 2.3724 - Accuracy: 0.2381 - F1: 0.2296
sub_13:Test (Best Model) - Loss: 2.4544 - Accuracy: 0.2714 - F1: 0.2697
sub_13:Test (Best Model) - Loss: 1.9868 - Accuracy: 0.2857 - F1: 0.2847
sub_13:Test (Best Model) - Loss: 2.1824 - Accuracy: 0.2762 - F1: 0.2690
sub_13:Test (Best Model) - Loss: 2.2284 - Accuracy: 0.2857 - F1: 0.2658
sub_13:Test (Best Model) - Loss: 2.1515 - Accuracy: 0.2857 - F1: 0.2586
sub_13:Test (Best Model) - Loss: 2.2813 - Accuracy: 0.3000 - F1: 0.2625
sub_13:Test (Best Model) - Loss: 2.0270 - Accuracy: 0.2857 - F1: 0.2638
sub_13:Test (Best Model) - Loss: 2.4170 - Accuracy: 0.2381 - F1: 0.2085
sub_14:Test (Best Model) - Loss: 2.5915 - Accuracy: 0.3429 - F1: 0.3607
sub_14:Test (Best Model) - Loss: 2.6873 - Accuracy: 0.3048 - F1: 0.3272
sub_14:Test (Best Model) - Loss: 2.4393 - Accuracy: 0.3571 - F1: 0.3830
sub_14:Test (Best Model) - Loss: 2.7400 - Accuracy: 0.3238 - F1: 0.3337
sub_14:Test (Best Model) - Loss: 3.0892 - Accuracy: 0.2429 - F1: 0.2394
sub_14:Test (Best Model) - Loss: 2.2579 - Accuracy: 0.4048 - F1: 0.3791
sub_14:Test (Best Model) - Loss: 2.2668 - Accuracy: 0.3333 - F1: 0.3114
sub_14:Test (Best Model) - Loss: 2.3177 - Accuracy: 0.4000 - F1: 0.3722
sub_14:Test (Best Model) - Loss: 2.3071 - Accuracy: 0.3476 - F1: 0.3158
sub_14:Test (Best Model) - Loss: 2.3429 - Accuracy: 0.3286 - F1: 0.3272
sub_14:Test (Best Model) - Loss: 2.4623 - Accuracy: 0.3429 - F1: 0.2987
sub_14:Test (Best Model) - Loss: 2.2861 - Accuracy: 0.3286 - F1: 0.2840
sub_14:Test (Best Model) - Loss: 2.2767 - Accuracy: 0.3476 - F1: 0.2999
sub_14:Test (Best Model) - Loss: 2.3489 - Accuracy: 0.3429 - F1: 0.3022
sub_14:Test (Best Model) - Loss: 2.7489 - Accuracy: 0.3429 - F1: 0.2946

=== Summary Results ===

acc: 29.88 ± 3.24
F1: 28.62 ± 3.21
acc-in: 35.47 ± 3.81
F1-in: 34.48 ± 3.92
