lr: 0.001
sub_6:Test (Best Model) - Loss: 1.4782 - Accuracy: 0.3381 - F1: 0.3054
sub_2:Test (Best Model) - Loss: 1.5092 - Accuracy: 0.4238 - F1: 0.3757
sub_1:Test (Best Model) - Loss: 1.3709 - Accuracy: 0.3952 - F1: 0.3729
sub_7:Test (Best Model) - Loss: 2.0166 - Accuracy: 0.2476 - F1: 0.2192
sub_3:Test (Best Model) - Loss: 2.8305 - Accuracy: 0.2524 - F1: 0.1716
sub_4:Test (Best Model) - Loss: 2.2964 - Accuracy: 0.2524 - F1: 0.2118
sub_5:Test (Best Model) - Loss: 1.9449 - Accuracy: 0.3238 - F1: 0.3084
sub_9:Test (Best Model) - Loss: 1.7339 - Accuracy: 0.2857 - F1: 0.2664
sub_10:Test (Best Model) - Loss: 1.4771 - Accuracy: 0.3571 - F1: 0.3211
sub_8:Test (Best Model) - Loss: 1.5964 - Accuracy: 0.3143 - F1: 0.2985
sub_6:Test (Best Model) - Loss: 1.8291 - Accuracy: 0.3048 - F1: 0.2949
sub_5:Test (Best Model) - Loss: 1.5623 - Accuracy: 0.3476 - F1: 0.3035
sub_3:Test (Best Model) - Loss: 1.6858 - Accuracy: 0.3286 - F1: 0.2973
sub_1:Test (Best Model) - Loss: 1.3078 - Accuracy: 0.3952 - F1: 0.3525
sub_4:Test (Best Model) - Loss: 2.2738 - Accuracy: 0.2667 - F1: 0.2581
sub_6:Test (Best Model) - Loss: 1.4896 - Accuracy: 0.3048 - F1: 0.3000
sub_2:Test (Best Model) - Loss: 1.5429 - Accuracy: 0.4095 - F1: 0.3943
sub_7:Test (Best Model) - Loss: 2.1904 - Accuracy: 0.2381 - F1: 0.2352
sub_9:Test (Best Model) - Loss: 1.3437 - Accuracy: 0.3810 - F1: 0.3245
sub_5:Test (Best Model) - Loss: 1.9426 - Accuracy: 0.2333 - F1: 0.1562
sub_3:Test (Best Model) - Loss: 1.6373 - Accuracy: 0.2429 - F1: 0.2223
sub_8:Test (Best Model) - Loss: 1.6166 - Accuracy: 0.2476 - F1: 0.2527
sub_4:Test (Best Model) - Loss: 2.1728 - Accuracy: 0.2000 - F1: 0.1690
sub_9:Test (Best Model) - Loss: 1.4538 - Accuracy: 0.3190 - F1: 0.2809
sub_7:Test (Best Model) - Loss: 1.9809 - Accuracy: 0.2762 - F1: 0.2348
sub_10:Test (Best Model) - Loss: 1.7017 - Accuracy: 0.3476 - F1: 0.3166
sub_2:Test (Best Model) - Loss: 1.2260 - Accuracy: 0.4762 - F1: 0.4596
sub_3:Test (Best Model) - Loss: 1.5422 - Accuracy: 0.2476 - F1: 0.2096
sub_5:Test (Best Model) - Loss: 1.9366 - Accuracy: 0.2810 - F1: 0.2686
sub_6:Test (Best Model) - Loss: 1.7523 - Accuracy: 0.2000 - F1: 0.2067
sub_8:Test (Best Model) - Loss: 1.5126 - Accuracy: 0.3048 - F1: 0.2916
sub_2:Test (Best Model) - Loss: 1.1621 - Accuracy: 0.4619 - F1: 0.4364
sub_10:Test (Best Model) - Loss: 1.5283 - Accuracy: 0.3286 - F1: 0.2876
sub_1:Test (Best Model) - Loss: 1.9556 - Accuracy: 0.2667 - F1: 0.2397
sub_4:Test (Best Model) - Loss: 2.4275 - Accuracy: 0.2714 - F1: 0.2784
sub_7:Test (Best Model) - Loss: 1.8839 - Accuracy: 0.3000 - F1: 0.2919
sub_9:Test (Best Model) - Loss: 2.5874 - Accuracy: 0.2238 - F1: 0.1949
sub_5:Test (Best Model) - Loss: 1.7284 - Accuracy: 0.3238 - F1: 0.2799
sub_6:Test (Best Model) - Loss: 2.0049 - Accuracy: 0.3095 - F1: 0.2694
sub_10:Test (Best Model) - Loss: 1.5457 - Accuracy: 0.4048 - F1: 0.3773
sub_8:Test (Best Model) - Loss: 1.9240 - Accuracy: 0.3429 - F1: 0.3375
sub_3:Test (Best Model) - Loss: 2.7582 - Accuracy: 0.2667 - F1: 0.2294
sub_9:Test (Best Model) - Loss: 1.3783 - Accuracy: 0.3810 - F1: 0.3508
sub_1:Test (Best Model) - Loss: 1.7548 - Accuracy: 0.2619 - F1: 0.2037
sub_5:Test (Best Model) - Loss: 1.7168 - Accuracy: 0.2952 - F1: 0.2621
sub_2:Test (Best Model) - Loss: 1.5740 - Accuracy: 0.4381 - F1: 0.4238
sub_7:Test (Best Model) - Loss: 2.1876 - Accuracy: 0.2524 - F1: 0.2243
sub_4:Test (Best Model) - Loss: 1.9680 - Accuracy: 0.3381 - F1: 0.3368
sub_10:Test (Best Model) - Loss: 1.3995 - Accuracy: 0.3190 - F1: 0.3028
sub_3:Test (Best Model) - Loss: 2.1546 - Accuracy: 0.2952 - F1: 0.2873
sub_6:Test (Best Model) - Loss: 1.8131 - Accuracy: 0.3000 - F1: 0.2477
sub_8:Test (Best Model) - Loss: 1.5153 - Accuracy: 0.3190 - F1: 0.3144
sub_5:Test (Best Model) - Loss: 1.7381 - Accuracy: 0.3095 - F1: 0.3147
sub_7:Test (Best Model) - Loss: 1.8506 - Accuracy: 0.2571 - F1: 0.2389
sub_1:Test (Best Model) - Loss: 1.7040 - Accuracy: 0.3714 - F1: 0.3801
sub_9:Test (Best Model) - Loss: 1.5589 - Accuracy: 0.3762 - F1: 0.3508
sub_2:Test (Best Model) - Loss: 1.4445 - Accuracy: 0.4048 - F1: 0.4009
sub_3:Test (Best Model) - Loss: 1.8862 - Accuracy: 0.3190 - F1: 0.2876
sub_6:Test (Best Model) - Loss: 1.7723 - Accuracy: 0.3190 - F1: 0.2840
sub_4:Test (Best Model) - Loss: 1.7211 - Accuracy: 0.3095 - F1: 0.3192
sub_8:Test (Best Model) - Loss: 1.5425 - Accuracy: 0.3286 - F1: 0.2712
sub_5:Test (Best Model) - Loss: 1.6846 - Accuracy: 0.3048 - F1: 0.2850
sub_2:Test (Best Model) - Loss: 1.3617 - Accuracy: 0.4429 - F1: 0.4122
sub_10:Test (Best Model) - Loss: 1.9403 - Accuracy: 0.3714 - F1: 0.3413
sub_6:Test (Best Model) - Loss: 1.4581 - Accuracy: 0.3571 - F1: 0.3335
sub_7:Test (Best Model) - Loss: 1.3346 - Accuracy: 0.4143 - F1: 0.3783
sub_1:Test (Best Model) - Loss: 1.5113 - Accuracy: 0.3476 - F1: 0.3378
sub_8:Test (Best Model) - Loss: 1.3951 - Accuracy: 0.2905 - F1: 0.2640
sub_4:Test (Best Model) - Loss: 2.7394 - Accuracy: 0.2190 - F1: 0.2131
sub_3:Test (Best Model) - Loss: 1.8469 - Accuracy: 0.2714 - F1: 0.2625
sub_2:Test (Best Model) - Loss: 1.1900 - Accuracy: 0.4381 - F1: 0.4178
sub_10:Test (Best Model) - Loss: 1.2303 - Accuracy: 0.4238 - F1: 0.4321
sub_9:Test (Best Model) - Loss: 1.6539 - Accuracy: 0.3714 - F1: 0.3096
sub_5:Test (Best Model) - Loss: 1.7109 - Accuracy: 0.3286 - F1: 0.3050
sub_6:Test (Best Model) - Loss: 2.4900 - Accuracy: 0.3429 - F1: 0.3269
sub_1:Test (Best Model) - Loss: 1.8529 - Accuracy: 0.4000 - F1: 0.3596
sub_8:Test (Best Model) - Loss: 1.6555 - Accuracy: 0.3143 - F1: 0.3008
sub_7:Test (Best Model) - Loss: 2.1356 - Accuracy: 0.3095 - F1: 0.2598
sub_2:Test (Best Model) - Loss: 1.5525 - Accuracy: 0.4714 - F1: 0.4660
sub_3:Test (Best Model) - Loss: 2.1702 - Accuracy: 0.2857 - F1: 0.2856
sub_4:Test (Best Model) - Loss: 2.0133 - Accuracy: 0.2524 - F1: 0.1693
sub_9:Test (Best Model) - Loss: 1.8506 - Accuracy: 0.3190 - F1: 0.2832
sub_5:Test (Best Model) - Loss: 2.1526 - Accuracy: 0.3238 - F1: 0.3234
sub_10:Test (Best Model) - Loss: 1.4921 - Accuracy: 0.3476 - F1: 0.3577
sub_1:Test (Best Model) - Loss: 1.4919 - Accuracy: 0.4048 - F1: 0.4015
sub_3:Test (Best Model) - Loss: 1.9184 - Accuracy: 0.1905 - F1: 0.1353
sub_7:Test (Best Model) - Loss: 1.5384 - Accuracy: 0.3619 - F1: 0.3145
sub_8:Test (Best Model) - Loss: 1.5209 - Accuracy: 0.3286 - F1: 0.3380
sub_9:Test (Best Model) - Loss: 1.4973 - Accuracy: 0.3381 - F1: 0.2747
sub_4:Test (Best Model) - Loss: 2.0555 - Accuracy: 0.2476 - F1: 0.2206
sub_5:Test (Best Model) - Loss: 1.5969 - Accuracy: 0.3714 - F1: 0.3444
sub_6:Test (Best Model) - Loss: 1.7530 - Accuracy: 0.3286 - F1: 0.3309
sub_2:Test (Best Model) - Loss: 2.0338 - Accuracy: 0.3190 - F1: 0.3097
sub_10:Test (Best Model) - Loss: 1.5615 - Accuracy: 0.3762 - F1: 0.3681
sub_3:Test (Best Model) - Loss: 1.6672 - Accuracy: 0.2952 - F1: 0.2752
sub_7:Test (Best Model) - Loss: 2.7601 - Accuracy: 0.2333 - F1: 0.1797
sub_8:Test (Best Model) - Loss: 1.8093 - Accuracy: 0.2952 - F1: 0.2932
sub_5:Test (Best Model) - Loss: 1.9329 - Accuracy: 0.2667 - F1: 0.2603
sub_4:Test (Best Model) - Loss: 2.2580 - Accuracy: 0.2190 - F1: 0.1539
sub_1:Test (Best Model) - Loss: 1.7156 - Accuracy: 0.4333 - F1: 0.4073
sub_2:Test (Best Model) - Loss: 1.6088 - Accuracy: 0.3048 - F1: 0.2492
sub_9:Test (Best Model) - Loss: 1.9632 - Accuracy: 0.3190 - F1: 0.2701
sub_3:Test (Best Model) - Loss: 1.9862 - Accuracy: 0.2429 - F1: 0.2198
sub_5:Test (Best Model) - Loss: 1.5082 - Accuracy: 0.3762 - F1: 0.3799
sub_4:Test (Best Model) - Loss: 1.5665 - Accuracy: 0.3048 - F1: 0.2882
sub_8:Test (Best Model) - Loss: 1.4493 - Accuracy: 0.3190 - F1: 0.3171
sub_6:Test (Best Model) - Loss: 1.6756 - Accuracy: 0.3429 - F1: 0.2857
sub_1:Test (Best Model) - Loss: 1.2489 - Accuracy: 0.4619 - F1: 0.4508
sub_10:Test (Best Model) - Loss: 1.5835 - Accuracy: 0.3524 - F1: 0.3146
sub_9:Test (Best Model) - Loss: 1.5114 - Accuracy: 0.3286 - F1: 0.3011
sub_7:Test (Best Model) - Loss: 2.0843 - Accuracy: 0.3381 - F1: 0.3112
sub_1:Test (Best Model) - Loss: 2.2877 - Accuracy: 0.3000 - F1: 0.2468
sub_5:Test (Best Model) - Loss: 2.0835 - Accuracy: 0.2952 - F1: 0.2900
sub_4:Test (Best Model) - Loss: 2.3379 - Accuracy: 0.2238 - F1: 0.2224
sub_6:Test (Best Model) - Loss: 2.9288 - Accuracy: 0.2667 - F1: 0.2670
sub_2:Test (Best Model) - Loss: 1.3165 - Accuracy: 0.4381 - F1: 0.4315
sub_10:Test (Best Model) - Loss: 3.3286 - Accuracy: 0.2857 - F1: 0.2002
sub_9:Test (Best Model) - Loss: 1.5182 - Accuracy: 0.2762 - F1: 0.2838
sub_3:Test (Best Model) - Loss: 1.5964 - Accuracy: 0.2905 - F1: 0.2848
sub_8:Test (Best Model) - Loss: 2.7389 - Accuracy: 0.3476 - F1: 0.3013
sub_5:Test (Best Model) - Loss: 2.0299 - Accuracy: 0.2190 - F1: 0.1153
sub_7:Test (Best Model) - Loss: 1.7099 - Accuracy: 0.3143 - F1: 0.3211
sub_1:Test (Best Model) - Loss: 2.1956 - Accuracy: 0.2714 - F1: 0.2005
sub_9:Test (Best Model) - Loss: 1.7602 - Accuracy: 0.2619 - F1: 0.2116
sub_2:Test (Best Model) - Loss: 1.6240 - Accuracy: 0.3381 - F1: 0.2984
sub_6:Test (Best Model) - Loss: 1.7852 - Accuracy: 0.2381 - F1: 0.2352
sub_4:Test (Best Model) - Loss: 2.6638 - Accuracy: 0.3095 - F1: 0.2621
sub_10:Test (Best Model) - Loss: 2.1469 - Accuracy: 0.3810 - F1: 0.3552
sub_8:Test (Best Model) - Loss: 1.6472 - Accuracy: 0.3476 - F1: 0.2834
sub_7:Test (Best Model) - Loss: 1.5675 - Accuracy: 0.3286 - F1: 0.3144
sub_6:Test (Best Model) - Loss: 1.5541 - Accuracy: 0.3048 - F1: 0.3039
sub_3:Test (Best Model) - Loss: 2.3805 - Accuracy: 0.2667 - F1: 0.2546
sub_1:Test (Best Model) - Loss: 1.9357 - Accuracy: 0.2857 - F1: 0.2847
sub_9:Test (Best Model) - Loss: 2.0382 - Accuracy: 0.3095 - F1: 0.2679
sub_4:Test (Best Model) - Loss: 2.2284 - Accuracy: 0.2429 - F1: 0.1804
sub_2:Test (Best Model) - Loss: 1.3285 - Accuracy: 0.4667 - F1: 0.4484
sub_7:Test (Best Model) - Loss: 1.7604 - Accuracy: 0.2952 - F1: 0.2954
sub_8:Test (Best Model) - Loss: 2.4101 - Accuracy: 0.2762 - F1: 0.2917
sub_1:Test (Best Model) - Loss: 1.8363 - Accuracy: 0.2952 - F1: 0.2986
sub_6:Test (Best Model) - Loss: 1.8815 - Accuracy: 0.2476 - F1: 0.1732
sub_2:Test (Best Model) - Loss: 1.6342 - Accuracy: 0.4095 - F1: 0.3821
sub_7:Test (Best Model) - Loss: 1.5426 - Accuracy: 0.3381 - F1: 0.3237
sub_3:Test (Best Model) - Loss: 2.2281 - Accuracy: 0.2667 - F1: 0.2126
sub_9:Test (Best Model) - Loss: 1.4428 - Accuracy: 0.3000 - F1: 0.2866
sub_10:Test (Best Model) - Loss: 2.1823 - Accuracy: 0.3381 - F1: 0.2631
sub_8:Test (Best Model) - Loss: 1.4532 - Accuracy: 0.3429 - F1: 0.3215
sub_4:Test (Best Model) - Loss: 1.8996 - Accuracy: 0.3619 - F1: 0.3531
sub_1:Test (Best Model) - Loss: 2.3876 - Accuracy: 0.3143 - F1: 0.2565
sub_10:Test (Best Model) - Loss: 2.3978 - Accuracy: 0.3048 - F1: 0.2137
sub_10:Test (Best Model) - Loss: 1.9906 - Accuracy: 0.2952 - F1: 0.2046
sub_14:Test (Best Model) - Loss: 1.5790 - Accuracy: 0.3810 - F1: 0.3386
sub_11:Test (Best Model) - Loss: 1.5403 - Accuracy: 0.3476 - F1: 0.3640
sub_13:Test (Best Model) - Loss: 2.2940 - Accuracy: 0.3238 - F1: 0.3021
sub_12:Test (Best Model) - Loss: 1.6835 - Accuracy: 0.2810 - F1: 0.2452
sub_14:Test (Best Model) - Loss: 1.9059 - Accuracy: 0.3333 - F1: 0.2566
sub_11:Test (Best Model) - Loss: 2.5643 - Accuracy: 0.2333 - F1: 0.2061
sub_12:Test (Best Model) - Loss: 1.9145 - Accuracy: 0.3381 - F1: 0.3453
sub_13:Test (Best Model) - Loss: 2.0723 - Accuracy: 0.3429 - F1: 0.3462
sub_11:Test (Best Model) - Loss: 2.0316 - Accuracy: 0.2714 - F1: 0.2449
sub_14:Test (Best Model) - Loss: 2.2664 - Accuracy: 0.3333 - F1: 0.3100
sub_13:Test (Best Model) - Loss: 1.5308 - Accuracy: 0.3000 - F1: 0.2564
sub_12:Test (Best Model) - Loss: 2.4939 - Accuracy: 0.2524 - F1: 0.2616
sub_14:Test (Best Model) - Loss: 1.8016 - Accuracy: 0.3143 - F1: 0.2253
sub_11:Test (Best Model) - Loss: 1.7328 - Accuracy: 0.3238 - F1: 0.3239
sub_13:Test (Best Model) - Loss: 1.6353 - Accuracy: 0.3143 - F1: 0.2722
sub_14:Test (Best Model) - Loss: 1.8659 - Accuracy: 0.3333 - F1: 0.2609
sub_12:Test (Best Model) - Loss: 1.8898 - Accuracy: 0.2571 - F1: 0.2254
sub_11:Test (Best Model) - Loss: 4.0381 - Accuracy: 0.2571 - F1: 0.1830
sub_13:Test (Best Model) - Loss: 2.0472 - Accuracy: 0.2571 - F1: 0.2324
sub_12:Test (Best Model) - Loss: 1.8989 - Accuracy: 0.3190 - F1: 0.3017
sub_14:Test (Best Model) - Loss: 2.4359 - Accuracy: 0.4238 - F1: 0.3598
sub_13:Test (Best Model) - Loss: 3.1310 - Accuracy: 0.2476 - F1: 0.2291
sub_11:Test (Best Model) - Loss: 1.9464 - Accuracy: 0.3048 - F1: 0.3162
sub_14:Test (Best Model) - Loss: 1.4387 - Accuracy: 0.3286 - F1: 0.2758
sub_12:Test (Best Model) - Loss: 1.6516 - Accuracy: 0.3429 - F1: 0.3280
sub_14:Test (Best Model) - Loss: 1.3815 - Accuracy: 0.3762 - F1: 0.3560
sub_11:Test (Best Model) - Loss: 2.8103 - Accuracy: 0.2810 - F1: 0.2870
sub_11:Test (Best Model) - Loss: 2.3885 - Accuracy: 0.2286 - F1: 0.1388
sub_13:Test (Best Model) - Loss: 1.9141 - Accuracy: 0.3000 - F1: 0.2960
sub_14:Test (Best Model) - Loss: 1.5458 - Accuracy: 0.3524 - F1: 0.3248
sub_12:Test (Best Model) - Loss: 1.7806 - Accuracy: 0.3333 - F1: 0.3101
sub_12:Test (Best Model) - Loss: 2.2366 - Accuracy: 0.2190 - F1: 0.1418
sub_11:Test (Best Model) - Loss: 2.0994 - Accuracy: 0.2619 - F1: 0.2135
sub_13:Test (Best Model) - Loss: 1.7747 - Accuracy: 0.2476 - F1: 0.2367
sub_14:Test (Best Model) - Loss: 1.8602 - Accuracy: 0.2905 - F1: 0.2878
sub_11:Test (Best Model) - Loss: 1.7707 - Accuracy: 0.3619 - F1: 0.3632
sub_12:Test (Best Model) - Loss: 1.5238 - Accuracy: 0.3714 - F1: 0.3787
sub_14:Test (Best Model) - Loss: 2.2772 - Accuracy: 0.2619 - F1: 0.1881
sub_13:Test (Best Model) - Loss: 1.7635 - Accuracy: 0.3048 - F1: 0.2581
sub_11:Test (Best Model) - Loss: 1.4742 - Accuracy: 0.3667 - F1: 0.3744
sub_12:Test (Best Model) - Loss: 1.6489 - Accuracy: 0.3429 - F1: 0.3354
sub_13:Test (Best Model) - Loss: 2.0895 - Accuracy: 0.2286 - F1: 0.1800
sub_14:Test (Best Model) - Loss: 2.4105 - Accuracy: 0.3619 - F1: 0.3107
sub_12:Test (Best Model) - Loss: 1.5500 - Accuracy: 0.2762 - F1: 0.2186
sub_11:Test (Best Model) - Loss: 1.4042 - Accuracy: 0.4095 - F1: 0.3772
sub_14:Test (Best Model) - Loss: 1.9433 - Accuracy: 0.2571 - F1: 0.1717
sub_13:Test (Best Model) - Loss: 2.9555 - Accuracy: 0.1905 - F1: 0.1970
sub_12:Test (Best Model) - Loss: 2.4652 - Accuracy: 0.3286 - F1: 0.3244
sub_14:Test (Best Model) - Loss: 1.5440 - Accuracy: 0.3762 - F1: 0.3553
sub_13:Test (Best Model) - Loss: 1.7648 - Accuracy: 0.2095 - F1: 0.0862
sub_12:Test (Best Model) - Loss: 1.6187 - Accuracy: 0.3619 - F1: 0.3642
sub_11:Test (Best Model) - Loss: 1.8586 - Accuracy: 0.2857 - F1: 0.2784
sub_14:Test (Best Model) - Loss: 3.5576 - Accuracy: 0.3238 - F1: 0.2433
sub_13:Test (Best Model) - Loss: 1.6978 - Accuracy: 0.2762 - F1: 0.2340
sub_12:Test (Best Model) - Loss: 2.0870 - Accuracy: 0.3095 - F1: 0.3081
sub_11:Test (Best Model) - Loss: 1.5699 - Accuracy: 0.3286 - F1: 0.3212
sub_13:Test (Best Model) - Loss: 2.2621 - Accuracy: 0.2762 - F1: 0.2800
sub_12:Test (Best Model) - Loss: 1.8405 - Accuracy: 0.2667 - F1: 0.2375
sub_13:Test (Best Model) - Loss: 2.0379 - Accuracy: 0.2333 - F1: 0.1359
sub_11:Test (Best Model) - Loss: 1.3945 - Accuracy: 0.3571 - F1: 0.3375

=== Summary Results ===

acc: 31.52 ± 3.75
F1: 28.73 ± 3.78
acc-in: 38.99 ± 3.62
F1-in: 34.89 ± 3.80
runing time: 3544.54 seconds
