lr: 0.001
sub_1:Test (Best Model) - Loss: 13.7295 - Accuracy: 0.3714 - F1: 0.3261
sub_2:Test (Best Model) - Loss: 3.4882 - Accuracy: 0.3810 - F1: 0.3210
sub_1:Test (Best Model) - Loss: 10.3260 - Accuracy: 0.3000 - F1: 0.2564
sub_3:Test (Best Model) - Loss: 8.5845 - Accuracy: 0.2667 - F1: 0.1741
sub_2:Test (Best Model) - Loss: 1.8047 - Accuracy: 0.4286 - F1: 0.3855
sub_2:Test (Best Model) - Loss: 3.0008 - Accuracy: 0.4000 - F1: 0.3260
sub_3:Test (Best Model) - Loss: 11.6913 - Accuracy: 0.2619 - F1: 0.1747
sub_1:Test (Best Model) - Loss: 14.2032 - Accuracy: 0.3000 - F1: 0.2373
sub_2:Test (Best Model) - Loss: 3.9173 - Accuracy: 0.3810 - F1: 0.3308
sub_3:Test (Best Model) - Loss: 9.5828 - Accuracy: 0.3381 - F1: 0.2564
sub_1:Test (Best Model) - Loss: 9.4517 - Accuracy: 0.3571 - F1: 0.3197
sub_3:Test (Best Model) - Loss: 10.1428 - Accuracy: 0.2667 - F1: 0.1807
sub_2:Test (Best Model) - Loss: 4.8208 - Accuracy: 0.3667 - F1: 0.2929
sub_3:Test (Best Model) - Loss: 4.0283 - Accuracy: 0.2667 - F1: 0.1892
sub_1:Test (Best Model) - Loss: 18.3591 - Accuracy: 0.3667 - F1: 0.3175
sub_2:Test (Best Model) - Loss: 9.0951 - Accuracy: 0.3857 - F1: 0.3439
sub_1:Test (Best Model) - Loss: 4.1959 - Accuracy: 0.3571 - F1: 0.3685
sub_3:Test (Best Model) - Loss: 3.1439 - Accuracy: 0.3429 - F1: 0.3178
sub_1:Test (Best Model) - Loss: 3.2907 - Accuracy: 0.3810 - F1: 0.3920
sub_3:Test (Best Model) - Loss: 4.4629 - Accuracy: 0.3000 - F1: 0.2874
sub_2:Test (Best Model) - Loss: 6.0399 - Accuracy: 0.3333 - F1: 0.3544
sub_3:Test (Best Model) - Loss: 4.3914 - Accuracy: 0.3905 - F1: 0.3872
sub_1:Test (Best Model) - Loss: 6.0516 - Accuracy: 0.3619 - F1: 0.3581
sub_2:Test (Best Model) - Loss: 5.5604 - Accuracy: 0.4190 - F1: 0.3933
sub_1:Test (Best Model) - Loss: 3.5165 - Accuracy: 0.3952 - F1: 0.3999
sub_2:Test (Best Model) - Loss: 3.9199 - Accuracy: 0.3048 - F1: 0.2868
sub_3:Test (Best Model) - Loss: 5.4587 - Accuracy: 0.3333 - F1: 0.3246
sub_2:Test (Best Model) - Loss: 2.2675 - Accuracy: 0.4095 - F1: 0.3999
sub_1:Test (Best Model) - Loss: 3.5436 - Accuracy: 0.4286 - F1: 0.4138
sub_3:Test (Best Model) - Loss: 4.9690 - Accuracy: 0.3333 - F1: 0.2937
sub_2:Test (Best Model) - Loss: 19.6114 - Accuracy: 0.2524 - F1: 0.2330
sub_1:Test (Best Model) - Loss: 4.8140 - Accuracy: 0.3714 - F1: 0.3444
sub_3:Test (Best Model) - Loss: 10.8068 - Accuracy: 0.3143 - F1: 0.2971
sub_2:Test (Best Model) - Loss: 17.8816 - Accuracy: 0.2571 - F1: 0.2422
sub_3:Test (Best Model) - Loss: 4.1150 - Accuracy: 0.3333 - F1: 0.3096
sub_1:Test (Best Model) - Loss: 8.9976 - Accuracy: 0.3238 - F1: 0.2836
sub_3:Test (Best Model) - Loss: 8.3293 - Accuracy: 0.2286 - F1: 0.2006
sub_2:Test (Best Model) - Loss: 20.3948 - Accuracy: 0.2381 - F1: 0.2191
sub_1:Test (Best Model) - Loss: 4.6912 - Accuracy: 0.3762 - F1: 0.3066
sub_3:Test (Best Model) - Loss: 6.1453 - Accuracy: 0.2952 - F1: 0.2791
sub_2:Test (Best Model) - Loss: 9.3742 - Accuracy: 0.3238 - F1: 0.3069
sub_1:Test (Best Model) - Loss: 8.0366 - Accuracy: 0.3524 - F1: 0.3141
sub_3:Test (Best Model) - Loss: 7.1223 - Accuracy: 0.3048 - F1: 0.2900
sub_1:Test (Best Model) - Loss: 7.0604 - Accuracy: 0.3524 - F1: 0.3079
sub_2:Test (Best Model) - Loss: 14.9138 - Accuracy: 0.2571 - F1: 0.2438
sub_4:Test (Best Model) - Loss: 4.2358 - Accuracy: 0.3000 - F1: 0.2671
sub_5:Test (Best Model) - Loss: 18.1176 - Accuracy: 0.2667 - F1: 0.2393
sub_6:Test (Best Model) - Loss: 9.2821 - Accuracy: 0.3381 - F1: 0.3065
sub_4:Test (Best Model) - Loss: 3.9537 - Accuracy: 0.3429 - F1: 0.3239
sub_4:Test (Best Model) - Loss: 2.7749 - Accuracy: 0.3476 - F1: 0.2902
sub_5:Test (Best Model) - Loss: 8.3798 - Accuracy: 0.2333 - F1: 0.2037
sub_6:Test (Best Model) - Loss: 6.5140 - Accuracy: 0.3810 - F1: 0.3198
sub_4:Test (Best Model) - Loss: 2.2163 - Accuracy: 0.3238 - F1: 0.2895
sub_6:Test (Best Model) - Loss: 4.5847 - Accuracy: 0.3429 - F1: 0.3055
sub_4:Test (Best Model) - Loss: 2.1991 - Accuracy: 0.3571 - F1: 0.3388
sub_5:Test (Best Model) - Loss: 17.6908 - Accuracy: 0.2095 - F1: 0.1959
sub_6:Test (Best Model) - Loss: 8.7764 - Accuracy: 0.2667 - F1: 0.2486
sub_5:Test (Best Model) - Loss: 14.3847 - Accuracy: 0.2762 - F1: 0.2604
sub_6:Test (Best Model) - Loss: 6.8203 - Accuracy: 0.2667 - F1: 0.2512
sub_4:Test (Best Model) - Loss: 7.5480 - Accuracy: 0.3190 - F1: 0.2728
sub_5:Test (Best Model) - Loss: 10.0541 - Accuracy: 0.2905 - F1: 0.2513
sub_6:Test (Best Model) - Loss: 11.3481 - Accuracy: 0.3095 - F1: 0.2735
sub_4:Test (Best Model) - Loss: 8.2417 - Accuracy: 0.3810 - F1: 0.3487
sub_6:Test (Best Model) - Loss: 11.4593 - Accuracy: 0.3143 - F1: 0.2775
sub_5:Test (Best Model) - Loss: 14.1879 - Accuracy: 0.3333 - F1: 0.2966
sub_4:Test (Best Model) - Loss: 4.6836 - Accuracy: 0.4000 - F1: 0.3712
sub_5:Test (Best Model) - Loss: 7.4390 - Accuracy: 0.3667 - F1: 0.3563
sub_6:Test (Best Model) - Loss: 9.9642 - Accuracy: 0.2762 - F1: 0.2470
sub_5:Test (Best Model) - Loss: 27.7916 - Accuracy: 0.3048 - F1: 0.2978
sub_6:Test (Best Model) - Loss: 12.4439 - Accuracy: 0.2714 - F1: 0.2536
sub_4:Test (Best Model) - Loss: 12.2447 - Accuracy: 0.4048 - F1: 0.3908
sub_5:Test (Best Model) - Loss: 11.0104 - Accuracy: 0.3095 - F1: 0.3059
sub_4:Test (Best Model) - Loss: 3.1067 - Accuracy: 0.3571 - F1: 0.3103
sub_6:Test (Best Model) - Loss: 9.3995 - Accuracy: 0.2905 - F1: 0.2574
sub_5:Test (Best Model) - Loss: 16.5033 - Accuracy: 0.3190 - F1: 0.3010
sub_6:Test (Best Model) - Loss: 35.6037 - Accuracy: 0.2429 - F1: 0.2207
sub_4:Test (Best Model) - Loss: 5.2778 - Accuracy: 0.2667 - F1: 0.2560
sub_4:Test (Best Model) - Loss: 3.5346 - Accuracy: 0.2619 - F1: 0.2509
sub_6:Test (Best Model) - Loss: 53.2571 - Accuracy: 0.2667 - F1: 0.2549
sub_5:Test (Best Model) - Loss: 8.0806 - Accuracy: 0.2286 - F1: 0.2049
sub_4:Test (Best Model) - Loss: 3.9427 - Accuracy: 0.3000 - F1: 0.2871
sub_6:Test (Best Model) - Loss: 38.1843 - Accuracy: 0.2476 - F1: 0.2566
sub_5:Test (Best Model) - Loss: 6.8094 - Accuracy: 0.2238 - F1: 0.2213
sub_4:Test (Best Model) - Loss: 4.4477 - Accuracy: 0.3143 - F1: 0.3094
sub_5:Test (Best Model) - Loss: 8.5034 - Accuracy: 0.2429 - F1: 0.2400
sub_4:Test (Best Model) - Loss: 2.2891 - Accuracy: 0.3143 - F1: 0.2939
sub_6:Test (Best Model) - Loss: 70.6038 - Accuracy: 0.1762 - F1: 0.1473
sub_5:Test (Best Model) - Loss: 5.4791 - Accuracy: 0.1810 - F1: 0.1640
sub_6:Test (Best Model) - Loss: 63.9455 - Accuracy: 0.3000 - F1: 0.2798
sub_5:Test (Best Model) - Loss: 6.4001 - Accuracy: 0.2238 - F1: 0.2077
sub_9:Test (Best Model) - Loss: 5.7663 - Accuracy: 0.3381 - F1: 0.2786
sub_8:Test (Best Model) - Loss: 5.1691 - Accuracy: 0.4238 - F1: 0.3853
sub_7:Test (Best Model) - Loss: 8.1956 - Accuracy: 0.2190 - F1: 0.2203
sub_9:Test (Best Model) - Loss: 9.6787 - Accuracy: 0.3714 - F1: 0.3100
sub_8:Test (Best Model) - Loss: 6.6634 - Accuracy: 0.3952 - F1: 0.3775
sub_7:Test (Best Model) - Loss: 7.0807 - Accuracy: 0.2143 - F1: 0.2106
sub_7:Test (Best Model) - Loss: 4.8665 - Accuracy: 0.2333 - F1: 0.2173
sub_8:Test (Best Model) - Loss: 4.8036 - Accuracy: 0.4143 - F1: 0.3990
sub_7:Test (Best Model) - Loss: 3.6952 - Accuracy: 0.2286 - F1: 0.2248
sub_9:Test (Best Model) - Loss: 19.3816 - Accuracy: 0.3810 - F1: 0.2994
sub_8:Test (Best Model) - Loss: 4.1605 - Accuracy: 0.4286 - F1: 0.4065
sub_7:Test (Best Model) - Loss: 6.4149 - Accuracy: 0.2619 - F1: 0.2624
sub_9:Test (Best Model) - Loss: 12.9738 - Accuracy: 0.3857 - F1: 0.3237
sub_8:Test (Best Model) - Loss: 3.6830 - Accuracy: 0.4000 - F1: 0.3629
sub_7:Test (Best Model) - Loss: 2.5576 - Accuracy: 0.3381 - F1: 0.3275
sub_9:Test (Best Model) - Loss: 13.1591 - Accuracy: 0.3667 - F1: 0.2955
sub_7:Test (Best Model) - Loss: 4.5776 - Accuracy: 0.2857 - F1: 0.2805
sub_8:Test (Best Model) - Loss: 2.5576 - Accuracy: 0.4714 - F1: 0.4537
sub_9:Test (Best Model) - Loss: 8.1827 - Accuracy: 0.3619 - F1: 0.3072
sub_8:Test (Best Model) - Loss: 1.8670 - Accuracy: 0.4143 - F1: 0.3837
sub_7:Test (Best Model) - Loss: 5.5526 - Accuracy: 0.3476 - F1: 0.3320
sub_8:Test (Best Model) - Loss: 1.9942 - Accuracy: 0.4429 - F1: 0.4218
sub_9:Test (Best Model) - Loss: 8.8489 - Accuracy: 0.3476 - F1: 0.2939
sub_8:Test (Best Model) - Loss: 1.6675 - Accuracy: 0.4333 - F1: 0.3994
sub_7:Test (Best Model) - Loss: 4.0705 - Accuracy: 0.3000 - F1: 0.2879
sub_9:Test (Best Model) - Loss: 12.4547 - Accuracy: 0.3762 - F1: 0.3153
sub_8:Test (Best Model) - Loss: 2.2558 - Accuracy: 0.4333 - F1: 0.4208
sub_7:Test (Best Model) - Loss: 6.1376 - Accuracy: 0.3143 - F1: 0.2978
sub_8:Test (Best Model) - Loss: 11.2052 - Accuracy: 0.3524 - F1: 0.2937
sub_7:Test (Best Model) - Loss: 16.7122 - Accuracy: 0.3381 - F1: 0.3321
sub_9:Test (Best Model) - Loss: 7.6578 - Accuracy: 0.3667 - F1: 0.2896
sub_8:Test (Best Model) - Loss: 12.0648 - Accuracy: 0.3238 - F1: 0.2589
sub_9:Test (Best Model) - Loss: 8.4881 - Accuracy: 0.3048 - F1: 0.2853
sub_8:Test (Best Model) - Loss: 11.1355 - Accuracy: 0.3048 - F1: 0.2467
sub_8:Test (Best Model) - Loss: 5.7719 - Accuracy: 0.3476 - F1: 0.3187
sub_7:Test (Best Model) - Loss: 10.7332 - Accuracy: 0.3667 - F1: 0.3573
sub_8:Test (Best Model) - Loss: 6.0838 - Accuracy: 0.3714 - F1: 0.3287
sub_7:Test (Best Model) - Loss: 8.8295 - Accuracy: 0.3190 - F1: 0.3075
sub_9:Test (Best Model) - Loss: 20.0405 - Accuracy: 0.3524 - F1: 0.3346
sub_9:Test (Best Model) - Loss: 11.0241 - Accuracy: 0.3381 - F1: 0.3100
sub_7:Test (Best Model) - Loss: 13.6663 - Accuracy: 0.3381 - F1: 0.3173
sub_7:Test (Best Model) - Loss: 7.0882 - Accuracy: 0.3238 - F1: 0.3093
sub_9:Test (Best Model) - Loss: 19.2463 - Accuracy: 0.3429 - F1: 0.3053
sub_9:Test (Best Model) - Loss: 21.6744 - Accuracy: 0.3190 - F1: 0.2537
sub_9:Test (Best Model) - Loss: 9.6022 - Accuracy: 0.2952 - F1: 0.2396
sub_10:Test (Best Model) - Loss: 6.4071 - Accuracy: 0.4190 - F1: 0.3816
sub_11:Test (Best Model) - Loss: 12.9169 - Accuracy: 0.3619 - F1: 0.3651
sub_12:Test (Best Model) - Loss: 5.2270 - Accuracy: 0.3524 - F1: 0.3556
sub_10:Test (Best Model) - Loss: 13.2571 - Accuracy: 0.3952 - F1: 0.3655
sub_11:Test (Best Model) - Loss: 7.6058 - Accuracy: 0.3810 - F1: 0.3631
sub_12:Test (Best Model) - Loss: 2.7655 - Accuracy: 0.3619 - F1: 0.3631
sub_10:Test (Best Model) - Loss: 3.7220 - Accuracy: 0.3571 - F1: 0.3471
sub_12:Test (Best Model) - Loss: 3.1250 - Accuracy: 0.3571 - F1: 0.3569
sub_11:Test (Best Model) - Loss: 7.5877 - Accuracy: 0.3952 - F1: 0.3748
sub_10:Test (Best Model) - Loss: 8.2769 - Accuracy: 0.3619 - F1: 0.3295
sub_10:Test (Best Model) - Loss: 3.1866 - Accuracy: 0.3714 - F1: 0.3822
sub_12:Test (Best Model) - Loss: 3.8190 - Accuracy: 0.3524 - F1: 0.3581
sub_11:Test (Best Model) - Loss: 8.0129 - Accuracy: 0.3667 - F1: 0.3619
sub_10:Test (Best Model) - Loss: 5.6994 - Accuracy: 0.3714 - F1: 0.3421
sub_12:Test (Best Model) - Loss: 2.4563 - Accuracy: 0.3667 - F1: 0.3456
sub_11:Test (Best Model) - Loss: 10.3789 - Accuracy: 0.3238 - F1: 0.3070
sub_10:Test (Best Model) - Loss: 3.2551 - Accuracy: 0.3762 - F1: 0.3406
sub_12:Test (Best Model) - Loss: 3.5148 - Accuracy: 0.3476 - F1: 0.3336
sub_10:Test (Best Model) - Loss: 3.0578 - Accuracy: 0.3476 - F1: 0.3035
sub_11:Test (Best Model) - Loss: 6.7401 - Accuracy: 0.3762 - F1: 0.3600
sub_12:Test (Best Model) - Loss: 4.9898 - Accuracy: 0.3524 - F1: 0.3312
sub_10:Test (Best Model) - Loss: 6.3306 - Accuracy: 0.3524 - F1: 0.3075
sub_10:Test (Best Model) - Loss: 2.7034 - Accuracy: 0.3333 - F1: 0.3108
sub_12:Test (Best Model) - Loss: 4.2874 - Accuracy: 0.3667 - F1: 0.3479
sub_11:Test (Best Model) - Loss: 8.3879 - Accuracy: 0.4000 - F1: 0.4069
sub_10:Test (Best Model) - Loss: 13.6972 - Accuracy: 0.2429 - F1: 0.1866
sub_12:Test (Best Model) - Loss: 2.8765 - Accuracy: 0.3810 - F1: 0.3558
sub_12:Test (Best Model) - Loss: 4.0253 - Accuracy: 0.3143 - F1: 0.2796
sub_10:Test (Best Model) - Loss: 11.3332 - Accuracy: 0.2333 - F1: 0.1881
sub_11:Test (Best Model) - Loss: 5.8358 - Accuracy: 0.3857 - F1: 0.3849
sub_10:Test (Best Model) - Loss: 13.7546 - Accuracy: 0.2762 - F1: 0.2151
sub_11:Test (Best Model) - Loss: 6.3029 - Accuracy: 0.3619 - F1: 0.3416
sub_12:Test (Best Model) - Loss: 25.5767 - Accuracy: 0.2571 - F1: 0.2139
sub_11:Test (Best Model) - Loss: 6.7805 - Accuracy: 0.3476 - F1: 0.3490
sub_10:Test (Best Model) - Loss: 11.3698 - Accuracy: 0.2381 - F1: 0.1684
sub_12:Test (Best Model) - Loss: 48.5265 - Accuracy: 0.2762 - F1: 0.1683
sub_10:Test (Best Model) - Loss: 5.6861 - Accuracy: 0.2476 - F1: 0.1627
sub_11:Test (Best Model) - Loss: 4.6367 - Accuracy: 0.3238 - F1: 0.2955
sub_12:Test (Best Model) - Loss: 15.8269 - Accuracy: 0.2619 - F1: 0.2104
sub_11:Test (Best Model) - Loss: 5.5829 - Accuracy: 0.3762 - F1: 0.3589
sub_12:Test (Best Model) - Loss: 41.9508 - Accuracy: 0.2095 - F1: 0.1371
sub_12:Test (Best Model) - Loss: 18.5972 - Accuracy: 0.1952 - F1: 0.1318
sub_11:Test (Best Model) - Loss: 3.4355 - Accuracy: 0.3476 - F1: 0.3315
sub_11:Test (Best Model) - Loss: 4.4298 - Accuracy: 0.3667 - F1: 0.3533
sub_11:Test (Best Model) - Loss: 3.8358 - Accuracy: 0.3333 - F1: 0.3290
sub_13:Test (Best Model) - Loss: 7.5735 - Accuracy: 0.2333 - F1: 0.1507
sub_13:Test (Best Model) - Loss: 3.8109 - Accuracy: 0.3143 - F1: 0.2586
sub_14:Test (Best Model) - Loss: 5.1698 - Accuracy: 0.3476 - F1: 0.3636
sub_13:Test (Best Model) - Loss: 7.7207 - Accuracy: 0.2810 - F1: 0.2065
sub_14:Test (Best Model) - Loss: 8.9795 - Accuracy: 0.3048 - F1: 0.3082
sub_13:Test (Best Model) - Loss: 10.2514 - Accuracy: 0.1905 - F1: 0.1358
sub_14:Test (Best Model) - Loss: 6.4737 - Accuracy: 0.3286 - F1: 0.3252
sub_13:Test (Best Model) - Loss: 8.7665 - Accuracy: 0.2381 - F1: 0.1552
sub_14:Test (Best Model) - Loss: 5.7626 - Accuracy: 0.2762 - F1: 0.2916
sub_13:Test (Best Model) - Loss: 3.5420 - Accuracy: 0.3286 - F1: 0.3187
sub_14:Test (Best Model) - Loss: 5.2898 - Accuracy: 0.3143 - F1: 0.3121
sub_13:Test (Best Model) - Loss: 3.6666 - Accuracy: 0.3667 - F1: 0.3412
sub_13:Test (Best Model) - Loss: 3.9920 - Accuracy: 0.4190 - F1: 0.3954
sub_14:Test (Best Model) - Loss: 4.1213 - Accuracy: 0.4000 - F1: 0.3791
sub_13:Test (Best Model) - Loss: 4.8896 - Accuracy: 0.3429 - F1: 0.3061
sub_14:Test (Best Model) - Loss: 4.9851 - Accuracy: 0.3714 - F1: 0.3148
sub_13:Test (Best Model) - Loss: 2.8419 - Accuracy: 0.3762 - F1: 0.3567
sub_13:Test (Best Model) - Loss: 6.0374 - Accuracy: 0.3143 - F1: 0.2919
sub_13:Test (Best Model) - Loss: 4.8128 - Accuracy: 0.3667 - F1: 0.3528
sub_14:Test (Best Model) - Loss: 3.2856 - Accuracy: 0.3762 - F1: 0.3462
sub_13:Test (Best Model) - Loss: 3.3986 - Accuracy: 0.4714 - F1: 0.4346
sub_13:Test (Best Model) - Loss: 8.2642 - Accuracy: 0.3762 - F1: 0.3684
sub_14:Test (Best Model) - Loss: 4.2867 - Accuracy: 0.3952 - F1: 0.3908
sub_13:Test (Best Model) - Loss: 4.4309 - Accuracy: 0.3952 - F1: 0.3841
sub_14:Test (Best Model) - Loss: 2.6254 - Accuracy: 0.3810 - F1: 0.3564
sub_14:Test (Best Model) - Loss: 5.0789 - Accuracy: 0.3619 - F1: 0.3388
sub_14:Test (Best Model) - Loss: 2.5935 - Accuracy: 0.3571 - F1: 0.3137
sub_14:Test (Best Model) - Loss: 4.2910 - Accuracy: 0.3952 - F1: 0.3609
sub_14:Test (Best Model) - Loss: 2.8008 - Accuracy: 0.3619 - F1: 0.2915
sub_14:Test (Best Model) - Loss: 3.1408 - Accuracy: 0.4095 - F1: 0.3621

=== Summary Results ===

acc: 33.12 ± 3.35
F1: 30.21 ± 3.29
acc-in: 45.54 ± 4.00
F1-in: 43.02 ± 4.52
runing time: 2525.12 seconds
