lr: 0.0001
sub_5:Test (Best Model) - Loss: 1.6041 - Accuracy: 0.2286 - F1: 0.1314
sub_7:Test (Best Model) - Loss: 1.6088 - Accuracy: 0.2048 - F1: 0.0762
sub_6:Test (Best Model) - Loss: 1.6090 - Accuracy: 0.2000 - F1: 0.0849
sub_4:Test (Best Model) - Loss: 1.5154 - Accuracy: 0.2762 - F1: 0.2103
sub_10:Test (Best Model) - Loss: 1.2849 - Accuracy: 0.4286 - F1: 0.3284
sub_8:Test (Best Model) - Loss: 1.2656 - Accuracy: 0.3762 - F1: 0.2729
sub_5:Test (Best Model) - Loss: 1.5734 - Accuracy: 0.2143 - F1: 0.1832
sub_7:Test (Best Model) - Loss: 1.6107 - Accuracy: 0.2000 - F1: 0.0756
sub_6:Test (Best Model) - Loss: 1.6112 - Accuracy: 0.1952 - F1: 0.0689
sub_9:Test (Best Model) - Loss: 1.1172 - Accuracy: 0.4000 - F1: 0.2962
sub_2:Test (Best Model) - Loss: 1.7393 - Accuracy: 0.3667 - F1: 0.3026
sub_1:Test (Best Model) - Loss: 1.2557 - Accuracy: 0.4190 - F1: 0.3244
sub_6:Test (Best Model) - Loss: 1.5956 - Accuracy: 0.3333 - F1: 0.2557
sub_2:Test (Best Model) - Loss: 1.6070 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.3690 - Accuracy: 0.3857 - F1: 0.2735
sub_3:Test (Best Model) - Loss: 1.5541 - Accuracy: 0.2571 - F1: 0.1604
sub_5:Test (Best Model) - Loss: 1.4076 - Accuracy: 0.3095 - F1: 0.2431
sub_7:Test (Best Model) - Loss: 1.8332 - Accuracy: 0.2048 - F1: 0.0762
sub_4:Test (Best Model) - Loss: 1.3274 - Accuracy: 0.3667 - F1: 0.2703
sub_1:Test (Best Model) - Loss: 1.3935 - Accuracy: 0.3429 - F1: 0.2700
sub_9:Test (Best Model) - Loss: 1.2476 - Accuracy: 0.4381 - F1: 0.3880
sub_8:Test (Best Model) - Loss: 1.2096 - Accuracy: 0.4000 - F1: 0.3461
sub_6:Test (Best Model) - Loss: 1.6073 - Accuracy: 0.2095 - F1: 0.1027
sub_5:Test (Best Model) - Loss: 1.5286 - Accuracy: 0.2905 - F1: 0.2051
sub_3:Test (Best Model) - Loss: 1.3529 - Accuracy: 0.3762 - F1: 0.3151
sub_10:Test (Best Model) - Loss: 1.4524 - Accuracy: 0.3381 - F1: 0.2518
sub_7:Test (Best Model) - Loss: 1.6021 - Accuracy: 0.2667 - F1: 0.1528
sub_6:Test (Best Model) - Loss: 1.6079 - Accuracy: 0.2143 - F1: 0.1012
sub_2:Test (Best Model) - Loss: 1.2511 - Accuracy: 0.4238 - F1: 0.3935
sub_4:Test (Best Model) - Loss: 1.6003 - Accuracy: 0.2524 - F1: 0.1607
sub_5:Test (Best Model) - Loss: 1.6094 - Accuracy: 0.1095 - F1: 0.0552
sub_1:Test (Best Model) - Loss: 1.3041 - Accuracy: 0.3952 - F1: 0.3408
sub_3:Test (Best Model) - Loss: 1.5664 - Accuracy: 0.2571 - F1: 0.1626
sub_9:Test (Best Model) - Loss: 1.0922 - Accuracy: 0.4476 - F1: 0.3929
sub_7:Test (Best Model) - Loss: 1.6121 - Accuracy: 0.1905 - F1: 0.1089
sub_8:Test (Best Model) - Loss: 1.1222 - Accuracy: 0.4619 - F1: 0.4149
sub_2:Test (Best Model) - Loss: 1.4274 - Accuracy: 0.3667 - F1: 0.2989
sub_1:Test (Best Model) - Loss: 1.3909 - Accuracy: 0.3381 - F1: 0.2405
sub_6:Test (Best Model) - Loss: 1.5920 - Accuracy: 0.3048 - F1: 0.2708
sub_4:Test (Best Model) - Loss: 1.4750 - Accuracy: 0.3190 - F1: 0.2521
sub_7:Test (Best Model) - Loss: 1.6086 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.3110 - Accuracy: 0.4000 - F1: 0.3128
sub_3:Test (Best Model) - Loss: 1.4735 - Accuracy: 0.2857 - F1: 0.2125
sub_5:Test (Best Model) - Loss: 1.4498 - Accuracy: 0.3429 - F1: 0.2950
sub_6:Test (Best Model) - Loss: 1.5990 - Accuracy: 0.2810 - F1: 0.2788
sub_9:Test (Best Model) - Loss: 1.5831 - Accuracy: 0.3048 - F1: 0.2381
sub_8:Test (Best Model) - Loss: 1.2843 - Accuracy: 0.3571 - F1: 0.2787
sub_4:Test (Best Model) - Loss: 1.4226 - Accuracy: 0.3476 - F1: 0.2506
sub_7:Test (Best Model) - Loss: 1.5951 - Accuracy: 0.2286 - F1: 0.1387
sub_6:Test (Best Model) - Loss: 1.5926 - Accuracy: 0.2714 - F1: 0.1681
sub_1:Test (Best Model) - Loss: 1.5217 - Accuracy: 0.2857 - F1: 0.2139
sub_5:Test (Best Model) - Loss: 1.4824 - Accuracy: 0.3000 - F1: 0.2273
sub_10:Test (Best Model) - Loss: 1.3257 - Accuracy: 0.3952 - F1: 0.3000
sub_8:Test (Best Model) - Loss: 1.5523 - Accuracy: 0.3381 - F1: 0.2368
sub_7:Test (Best Model) - Loss: 1.6094 - Accuracy: 0.2000 - F1: 0.0667
sub_9:Test (Best Model) - Loss: 1.1653 - Accuracy: 0.3952 - F1: 0.3389
sub_3:Test (Best Model) - Loss: 1.2679 - Accuracy: 0.3714 - F1: 0.3226
sub_5:Test (Best Model) - Loss: 1.5859 - Accuracy: 0.2429 - F1: 0.1589
sub_7:Test (Best Model) - Loss: 1.5868 - Accuracy: 0.2095 - F1: 0.1258
sub_2:Test (Best Model) - Loss: 1.2110 - Accuracy: 0.4381 - F1: 0.4001
sub_10:Test (Best Model) - Loss: 1.3094 - Accuracy: 0.3667 - F1: 0.2902
sub_4:Test (Best Model) - Loss: 1.2585 - Accuracy: 0.3667 - F1: 0.2626
sub_5:Test (Best Model) - Loss: 1.5404 - Accuracy: 0.3333 - F1: 0.2723
sub_6:Test (Best Model) - Loss: 1.3747 - Accuracy: 0.3952 - F1: 0.3243
sub_3:Test (Best Model) - Loss: 1.4842 - Accuracy: 0.3381 - F1: 0.2333
sub_9:Test (Best Model) - Loss: 1.6282 - Accuracy: 0.2619 - F1: 0.2003
sub_1:Test (Best Model) - Loss: 1.1007 - Accuracy: 0.4857 - F1: 0.4565
sub_10:Test (Best Model) - Loss: 1.4547 - Accuracy: 0.4000 - F1: 0.3133
sub_6:Test (Best Model) - Loss: 1.6081 - Accuracy: 0.2143 - F1: 0.0919
sub_8:Test (Best Model) - Loss: 1.1331 - Accuracy: 0.4571 - F1: 0.4067
sub_5:Test (Best Model) - Loss: 1.5456 - Accuracy: 0.3190 - F1: 0.2109
sub_7:Test (Best Model) - Loss: 1.3047 - Accuracy: 0.4095 - F1: 0.3202
sub_2:Test (Best Model) - Loss: 1.4162 - Accuracy: 0.3333 - F1: 0.2482
sub_6:Test (Best Model) - Loss: 1.5871 - Accuracy: 0.2762 - F1: 0.2208
sub_3:Test (Best Model) - Loss: 1.4646 - Accuracy: 0.3143 - F1: 0.2336
sub_9:Test (Best Model) - Loss: 1.2781 - Accuracy: 0.3667 - F1: 0.3016
sub_5:Test (Best Model) - Loss: 1.7997 - Accuracy: 0.1190 - F1: 0.0595
sub_7:Test (Best Model) - Loss: 1.6096 - Accuracy: 0.2000 - F1: 0.0689
sub_4:Test (Best Model) - Loss: 2.0214 - Accuracy: 0.2952 - F1: 0.2068
sub_6:Test (Best Model) - Loss: 1.6672 - Accuracy: 0.1571 - F1: 0.1119
sub_10:Test (Best Model) - Loss: 1.2191 - Accuracy: 0.4571 - F1: 0.4435
sub_8:Test (Best Model) - Loss: 1.0645 - Accuracy: 0.4667 - F1: 0.4035
sub_1:Test (Best Model) - Loss: 1.1001 - Accuracy: 0.5048 - F1: 0.5018
sub_4:Test (Best Model) - Loss: 1.6088 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 1.3887 - Accuracy: 0.3571 - F1: 0.2820
sub_2:Test (Best Model) - Loss: 1.6359 - Accuracy: 0.3286 - F1: 0.2459
sub_6:Test (Best Model) - Loss: 1.7123 - Accuracy: 0.2190 - F1: 0.1179
sub_4:Test (Best Model) - Loss: 1.4632 - Accuracy: 0.3619 - F1: 0.2530
sub_5:Test (Best Model) - Loss: 2.2113 - Accuracy: 0.1952 - F1: 0.1828
sub_9:Test (Best Model) - Loss: 1.5201 - Accuracy: 0.3810 - F1: 0.3481
sub_1:Test (Best Model) - Loss: 1.6417 - Accuracy: 0.2095 - F1: 0.1032
sub_3:Test (Best Model) - Loss: 1.4932 - Accuracy: 0.2857 - F1: 0.2357
sub_4:Test (Best Model) - Loss: 1.6046 - Accuracy: 0.2667 - F1: 0.1662
sub_10:Test (Best Model) - Loss: 1.2590 - Accuracy: 0.4048 - F1: 0.3163
sub_7:Test (Best Model) - Loss: 1.4426 - Accuracy: 0.3190 - F1: 0.2952
sub_3:Test (Best Model) - Loss: 1.6091 - Accuracy: 0.2190 - F1: 0.1281
sub_6:Test (Best Model) - Loss: 1.6467 - Accuracy: 0.2476 - F1: 0.1902
sub_8:Test (Best Model) - Loss: 1.0668 - Accuracy: 0.4952 - F1: 0.4513
sub_10:Test (Best Model) - Loss: 1.5844 - Accuracy: 0.3048 - F1: 0.2638
sub_2:Test (Best Model) - Loss: 1.2071 - Accuracy: 0.4095 - F1: 0.3250
sub_9:Test (Best Model) - Loss: 1.2650 - Accuracy: 0.3905 - F1: 0.3166
sub_4:Test (Best Model) - Loss: 1.3291 - Accuracy: 0.3429 - F1: 0.3239
sub_5:Test (Best Model) - Loss: 1.5822 - Accuracy: 0.3095 - F1: 0.2692
sub_7:Test (Best Model) - Loss: 1.4570 - Accuracy: 0.3286 - F1: 0.2331
sub_6:Test (Best Model) - Loss: 1.6069 - Accuracy: 0.2143 - F1: 0.1232
sub_1:Test (Best Model) - Loss: 1.2233 - Accuracy: 0.4286 - F1: 0.3930
sub_8:Test (Best Model) - Loss: 1.1276 - Accuracy: 0.4857 - F1: 0.4374
sub_3:Test (Best Model) - Loss: 1.4796 - Accuracy: 0.3238 - F1: 0.2826
sub_10:Test (Best Model) - Loss: 1.8985 - Accuracy: 0.2000 - F1: 0.0675
sub_4:Test (Best Model) - Loss: 1.5420 - Accuracy: 0.2619 - F1: 0.1650
sub_9:Test (Best Model) - Loss: 1.7255 - Accuracy: 0.3286 - F1: 0.2417
sub_2:Test (Best Model) - Loss: 1.3848 - Accuracy: 0.3048 - F1: 0.2807
sub_5:Test (Best Model) - Loss: 2.0346 - Accuracy: 0.2524 - F1: 0.2589
sub_7:Test (Best Model) - Loss: 1.4977 - Accuracy: 0.2810 - F1: 0.2397
sub_2:Test (Best Model) - Loss: 1.6016 - Accuracy: 0.2190 - F1: 0.1383
sub_5:Test (Best Model) - Loss: 1.5467 - Accuracy: 0.2952 - F1: 0.2119
sub_8:Test (Best Model) - Loss: 1.1508 - Accuracy: 0.5000 - F1: 0.4644
sub_10:Test (Best Model) - Loss: 1.6199 - Accuracy: 0.2190 - F1: 0.1318
sub_9:Test (Best Model) - Loss: 1.1857 - Accuracy: 0.3905 - F1: 0.3124
sub_1:Test (Best Model) - Loss: 1.1794 - Accuracy: 0.4381 - F1: 0.4178
sub_4:Test (Best Model) - Loss: 1.4282 - Accuracy: 0.3381 - F1: 0.2908
sub_3:Test (Best Model) - Loss: 1.3620 - Accuracy: 0.3857 - F1: 0.3425
sub_7:Test (Best Model) - Loss: 1.4213 - Accuracy: 0.3429 - F1: 0.2858
sub_2:Test (Best Model) - Loss: 1.5817 - Accuracy: 0.3238 - F1: 0.2970
sub_4:Test (Best Model) - Loss: 1.5888 - Accuracy: 0.2619 - F1: 0.2180
sub_1:Test (Best Model) - Loss: 1.2371 - Accuracy: 0.4714 - F1: 0.4203
sub_8:Test (Best Model) - Loss: 1.4084 - Accuracy: 0.3048 - F1: 0.2789
sub_10:Test (Best Model) - Loss: 1.9244 - Accuracy: 0.2238 - F1: 0.1518
sub_3:Test (Best Model) - Loss: 1.4342 - Accuracy: 0.2905 - F1: 0.2796
sub_9:Test (Best Model) - Loss: 1.2975 - Accuracy: 0.4190 - F1: 0.3595
sub_2:Test (Best Model) - Loss: 1.4275 - Accuracy: 0.3286 - F1: 0.2478
sub_1:Test (Best Model) - Loss: 1.5104 - Accuracy: 0.2619 - F1: 0.1899
sub_10:Test (Best Model) - Loss: 1.6747 - Accuracy: 0.2048 - F1: 0.0927
sub_8:Test (Best Model) - Loss: 1.3497 - Accuracy: 0.3714 - F1: 0.3538
sub_4:Test (Best Model) - Loss: 1.3350 - Accuracy: 0.3810 - F1: 0.3113
sub_3:Test (Best Model) - Loss: 1.5671 - Accuracy: 0.2762 - F1: 0.2562
sub_9:Test (Best Model) - Loss: 1.2291 - Accuracy: 0.3857 - F1: 0.3438
sub_8:Test (Best Model) - Loss: 1.6413 - Accuracy: 0.2238 - F1: 0.1254
sub_10:Test (Best Model) - Loss: 1.5128 - Accuracy: 0.2762 - F1: 0.2353
sub_3:Test (Best Model) - Loss: 1.5992 - Accuracy: 0.2762 - F1: 0.2173
sub_2:Test (Best Model) - Loss: 1.2130 - Accuracy: 0.4238 - F1: 0.3931
sub_1:Test (Best Model) - Loss: 1.2708 - Accuracy: 0.3905 - F1: 0.3593
sub_9:Test (Best Model) - Loss: 1.3533 - Accuracy: 0.3286 - F1: 0.2458
sub_8:Test (Best Model) - Loss: 1.4072 - Accuracy: 0.3476 - F1: 0.3265
sub_2:Test (Best Model) - Loss: 1.1956 - Accuracy: 0.4095 - F1: 0.3816
sub_1:Test (Best Model) - Loss: 1.6895 - Accuracy: 0.2143 - F1: 0.1282
sub_2:Test (Best Model) - Loss: 1.2648 - Accuracy: 0.3857 - F1: 0.3404
sub_9:Test (Best Model) - Loss: 1.1224 - Accuracy: 0.4571 - F1: 0.4318
sub_8:Test (Best Model) - Loss: 1.2084 - Accuracy: 0.4429 - F1: 0.4227
sub_1:Test (Best Model) - Loss: 2.0390 - Accuracy: 0.3238 - F1: 0.2150
sub_14:Test (Best Model) - Loss: 1.5389 - Accuracy: 0.2714 - F1: 0.1762
sub_12:Test (Best Model) - Loss: 1.6226 - Accuracy: 0.3524 - F1: 0.2726
sub_13:Test (Best Model) - Loss: 1.4086 - Accuracy: 0.3524 - F1: 0.2574
sub_11:Test (Best Model) - Loss: 1.3349 - Accuracy: 0.3952 - F1: 0.2894
sub_14:Test (Best Model) - Loss: 1.5944 - Accuracy: 0.2095 - F1: 0.1220
sub_13:Test (Best Model) - Loss: 1.6660 - Accuracy: 0.2143 - F1: 0.0970
sub_11:Test (Best Model) - Loss: 1.8395 - Accuracy: 0.2286 - F1: 0.1372
sub_12:Test (Best Model) - Loss: 1.7150 - Accuracy: 0.3238 - F1: 0.2306
sub_14:Test (Best Model) - Loss: 1.4145 - Accuracy: 0.3810 - F1: 0.2692
sub_13:Test (Best Model) - Loss: 1.4958 - Accuracy: 0.3190 - F1: 0.2538
sub_12:Test (Best Model) - Loss: 1.6466 - Accuracy: 0.2524 - F1: 0.1570
sub_14:Test (Best Model) - Loss: 1.5672 - Accuracy: 0.2810 - F1: 0.1972
sub_13:Test (Best Model) - Loss: 1.6286 - Accuracy: 0.2333 - F1: 0.1390
sub_14:Test (Best Model) - Loss: 1.6078 - Accuracy: 0.2143 - F1: 0.0941
sub_11:Test (Best Model) - Loss: 2.1902 - Accuracy: 0.2857 - F1: 0.2335
sub_12:Test (Best Model) - Loss: 1.8399 - Accuracy: 0.2905 - F1: 0.2113
sub_13:Test (Best Model) - Loss: 1.4746 - Accuracy: 0.2667 - F1: 0.1866
sub_11:Test (Best Model) - Loss: 1.3551 - Accuracy: 0.3524 - F1: 0.2830
sub_12:Test (Best Model) - Loss: 1.3187 - Accuracy: 0.4333 - F1: 0.3198
sub_13:Test (Best Model) - Loss: 1.6073 - Accuracy: 0.2000 - F1: 0.0667
sub_11:Test (Best Model) - Loss: 1.6477 - Accuracy: 0.3286 - F1: 0.1968
sub_14:Test (Best Model) - Loss: 1.1977 - Accuracy: 0.5095 - F1: 0.4774
sub_14:Test (Best Model) - Loss: 1.5960 - Accuracy: 0.2048 - F1: 0.0781
sub_13:Test (Best Model) - Loss: 1.5786 - Accuracy: 0.3048 - F1: 0.2303
sub_11:Test (Best Model) - Loss: 1.4205 - Accuracy: 0.4286 - F1: 0.3658
sub_12:Test (Best Model) - Loss: 1.1068 - Accuracy: 0.4762 - F1: 0.4292
sub_11:Test (Best Model) - Loss: 1.4242 - Accuracy: 0.3238 - F1: 0.2463
sub_13:Test (Best Model) - Loss: 1.3994 - Accuracy: 0.3762 - F1: 0.3409
sub_13:Test (Best Model) - Loss: 1.5377 - Accuracy: 0.2952 - F1: 0.1788
sub_14:Test (Best Model) - Loss: 1.4785 - Accuracy: 0.3619 - F1: 0.3129
sub_12:Test (Best Model) - Loss: 1.1406 - Accuracy: 0.4571 - F1: 0.4112
sub_14:Test (Best Model) - Loss: 1.5627 - Accuracy: 0.3476 - F1: 0.2749
sub_11:Test (Best Model) - Loss: 1.2924 - Accuracy: 0.3905 - F1: 0.3840
sub_13:Test (Best Model) - Loss: 1.3933 - Accuracy: 0.3667 - F1: 0.3098
sub_12:Test (Best Model) - Loss: 1.3112 - Accuracy: 0.3905 - F1: 0.2547
sub_14:Test (Best Model) - Loss: 1.2360 - Accuracy: 0.4381 - F1: 0.3742
sub_11:Test (Best Model) - Loss: 1.3637 - Accuracy: 0.3762 - F1: 0.2898
sub_13:Test (Best Model) - Loss: 1.3144 - Accuracy: 0.4143 - F1: 0.3287
sub_12:Test (Best Model) - Loss: 1.1622 - Accuracy: 0.4238 - F1: 0.3463
sub_11:Test (Best Model) - Loss: 1.3768 - Accuracy: 0.4143 - F1: 0.3503
sub_14:Test (Best Model) - Loss: 1.4853 - Accuracy: 0.3524 - F1: 0.2692
sub_12:Test (Best Model) - Loss: 1.5717 - Accuracy: 0.2286 - F1: 0.1309
sub_14:Test (Best Model) - Loss: 1.6121 - Accuracy: 0.2000 - F1: 0.0667
sub_13:Test (Best Model) - Loss: 1.5432 - Accuracy: 0.3714 - F1: 0.3204
sub_12:Test (Best Model) - Loss: 1.7891 - Accuracy: 0.2714 - F1: 0.2157
sub_14:Test (Best Model) - Loss: 1.5027 - Accuracy: 0.3714 - F1: 0.2878
sub_11:Test (Best Model) - Loss: 1.7558 - Accuracy: 0.3095 - F1: 0.2877
sub_13:Test (Best Model) - Loss: 1.3246 - Accuracy: 0.3667 - F1: 0.3175
sub_14:Test (Best Model) - Loss: 1.6062 - Accuracy: 0.2000 - F1: 0.0715
sub_12:Test (Best Model) - Loss: 1.4569 - Accuracy: 0.3048 - F1: 0.2827
sub_14:Test (Best Model) - Loss: 1.6100 - Accuracy: 0.2238 - F1: 0.1067
sub_11:Test (Best Model) - Loss: 1.7908 - Accuracy: 0.2238 - F1: 0.1806
sub_13:Test (Best Model) - Loss: 1.3732 - Accuracy: 0.3714 - F1: 0.3385
sub_12:Test (Best Model) - Loss: 1.3078 - Accuracy: 0.4190 - F1: 0.3536
sub_11:Test (Best Model) - Loss: 1.5797 - Accuracy: 0.2714 - F1: 0.1834
sub_13:Test (Best Model) - Loss: 1.3592 - Accuracy: 0.4190 - F1: 0.4066
sub_11:Test (Best Model) - Loss: 1.6894 - Accuracy: 0.2476 - F1: 0.2013
sub_12:Test (Best Model) - Loss: 1.4826 - Accuracy: 0.3286 - F1: 0.2698
sub_11:Test (Best Model) - Loss: 1.5271 - Accuracy: 0.3095 - F1: 0.2096
sub_12:Test (Best Model) - Loss: 1.5144 - Accuracy: 0.3524 - F1: 0.3005

=== Summary Results ===

acc: 32.27 ± 4.53
F1: 25.02 ± 5.36
acc-in: 38.47 ± 6.15
F1-in: 30.75 ± 7.33
runing time: 4006.18 seconds
