lr: 0.001
sub_2:Test (Best Model) - Loss: 1.3872 - Accuracy: 0.3333 - F1: 0.2791
sub_3:Test (Best Model) - Loss: 1.7698 - Accuracy: 0.1952 - F1: 0.0919
sub_6:Test (Best Model) - Loss: 1.6152 - Accuracy: 0.4000 - F1: 0.3357
sub_1:Test (Best Model) - Loss: 1.2470 - Accuracy: 0.4048 - F1: 0.3233
sub_7:Test (Best Model) - Loss: 2.3025 - Accuracy: 0.2476 - F1: 0.2144
sub_4:Test (Best Model) - Loss: 1.5208 - Accuracy: 0.3429 - F1: 0.2927
sub_5:Test (Best Model) - Loss: 1.9123 - Accuracy: 0.3381 - F1: 0.3068
sub_3:Test (Best Model) - Loss: 1.7407 - Accuracy: 0.2286 - F1: 0.1487
sub_7:Test (Best Model) - Loss: 1.7008 - Accuracy: 0.2905 - F1: 0.2338
sub_2:Test (Best Model) - Loss: 1.2636 - Accuracy: 0.4905 - F1: 0.4923
sub_6:Test (Best Model) - Loss: 2.0386 - Accuracy: 0.3286 - F1: 0.2788
sub_1:Test (Best Model) - Loss: 2.4394 - Accuracy: 0.3905 - F1: 0.3489
sub_4:Test (Best Model) - Loss: 1.9136 - Accuracy: 0.2286 - F1: 0.2278
sub_7:Test (Best Model) - Loss: 1.6384 - Accuracy: 0.2667 - F1: 0.1908
sub_3:Test (Best Model) - Loss: 1.7287 - Accuracy: 0.1952 - F1: 0.1561
sub_6:Test (Best Model) - Loss: 1.8631 - Accuracy: 0.2857 - F1: 0.2498
sub_5:Test (Best Model) - Loss: 1.5791 - Accuracy: 0.3619 - F1: 0.3513
sub_1:Test (Best Model) - Loss: 1.3785 - Accuracy: 0.3619 - F1: 0.3248
sub_2:Test (Best Model) - Loss: 1.2505 - Accuracy: 0.4857 - F1: 0.4881
sub_4:Test (Best Model) - Loss: 1.5626 - Accuracy: 0.3095 - F1: 0.2884
sub_7:Test (Best Model) - Loss: 1.7129 - Accuracy: 0.2667 - F1: 0.2333
sub_6:Test (Best Model) - Loss: 2.6373 - Accuracy: 0.2810 - F1: 0.2382
sub_3:Test (Best Model) - Loss: 2.2315 - Accuracy: 0.2857 - F1: 0.1995
sub_2:Test (Best Model) - Loss: 1.2980 - Accuracy: 0.4095 - F1: 0.3972
sub_1:Test (Best Model) - Loss: 1.2942 - Accuracy: 0.3857 - F1: 0.3436
sub_7:Test (Best Model) - Loss: 1.7224 - Accuracy: 0.2333 - F1: 0.1536
sub_3:Test (Best Model) - Loss: 1.6539 - Accuracy: 0.2619 - F1: 0.2074
sub_4:Test (Best Model) - Loss: 1.9174 - Accuracy: 0.3286 - F1: 0.3351
sub_5:Test (Best Model) - Loss: 2.0377 - Accuracy: 0.3714 - F1: 0.3507
sub_2:Test (Best Model) - Loss: 1.2856 - Accuracy: 0.4333 - F1: 0.3887
sub_6:Test (Best Model) - Loss: 1.8424 - Accuracy: 0.2810 - F1: 0.2407
sub_1:Test (Best Model) - Loss: 1.7288 - Accuracy: 0.3571 - F1: 0.3413
sub_7:Test (Best Model) - Loss: 1.8903 - Accuracy: 0.2143 - F1: 0.1175
sub_4:Test (Best Model) - Loss: 1.5076 - Accuracy: 0.3286 - F1: 0.2977
sub_3:Test (Best Model) - Loss: 2.8054 - Accuracy: 0.2476 - F1: 0.1502
sub_5:Test (Best Model) - Loss: 1.6431 - Accuracy: 0.2762 - F1: 0.2553
sub_1:Test (Best Model) - Loss: 1.2745 - Accuracy: 0.4000 - F1: 0.3708
sub_2:Test (Best Model) - Loss: 1.3854 - Accuracy: 0.4762 - F1: 0.4549
sub_6:Test (Best Model) - Loss: 1.8496 - Accuracy: 0.2952 - F1: 0.2842
sub_7:Test (Best Model) - Loss: 1.4406 - Accuracy: 0.3238 - F1: 0.2763
sub_3:Test (Best Model) - Loss: 1.6367 - Accuracy: 0.3048 - F1: 0.2579
sub_4:Test (Best Model) - Loss: 1.6045 - Accuracy: 0.3286 - F1: 0.3008
sub_6:Test (Best Model) - Loss: 1.6221 - Accuracy: 0.2810 - F1: 0.2683
sub_7:Test (Best Model) - Loss: 1.5001 - Accuracy: 0.3571 - F1: 0.3479
sub_2:Test (Best Model) - Loss: 1.4373 - Accuracy: 0.4476 - F1: 0.4512
sub_5:Test (Best Model) - Loss: 2.0902 - Accuracy: 0.2619 - F1: 0.2349
sub_1:Test (Best Model) - Loss: 1.2673 - Accuracy: 0.3476 - F1: 0.2713
sub_6:Test (Best Model) - Loss: 1.5758 - Accuracy: 0.3476 - F1: 0.3202
sub_4:Test (Best Model) - Loss: 1.9282 - Accuracy: 0.2762 - F1: 0.2722
sub_3:Test (Best Model) - Loss: 1.6150 - Accuracy: 0.2762 - F1: 0.2230
sub_2:Test (Best Model) - Loss: 1.2096 - Accuracy: 0.4667 - F1: 0.4597
sub_7:Test (Best Model) - Loss: 1.4381 - Accuracy: 0.3952 - F1: 0.3715
sub_6:Test (Best Model) - Loss: 1.7728 - Accuracy: 0.2619 - F1: 0.2165
sub_1:Test (Best Model) - Loss: 1.2750 - Accuracy: 0.4190 - F1: 0.3760
sub_4:Test (Best Model) - Loss: 2.1035 - Accuracy: 0.2476 - F1: 0.2521
sub_2:Test (Best Model) - Loss: 1.3391 - Accuracy: 0.4476 - F1: 0.4441
sub_6:Test (Best Model) - Loss: 1.5175 - Accuracy: 0.3333 - F1: 0.2636
sub_3:Test (Best Model) - Loss: 1.6338 - Accuracy: 0.3190 - F1: 0.3049
sub_5:Test (Best Model) - Loss: 2.0844 - Accuracy: 0.3571 - F1: 0.3517
sub_7:Test (Best Model) - Loss: 1.5578 - Accuracy: 0.3524 - F1: 0.3135
sub_1:Test (Best Model) - Loss: 1.2689 - Accuracy: 0.3952 - F1: 0.3580
sub_6:Test (Best Model) - Loss: 1.9034 - Accuracy: 0.3095 - F1: 0.2897
sub_4:Test (Best Model) - Loss: 1.6035 - Accuracy: 0.3190 - F1: 0.3170
sub_5:Test (Best Model) - Loss: 1.9515 - Accuracy: 0.2667 - F1: 0.2556
sub_2:Test (Best Model) - Loss: 1.4856 - Accuracy: 0.3857 - F1: 0.3886
sub_6:Test (Best Model) - Loss: 1.5394 - Accuracy: 0.2905 - F1: 0.2338
sub_3:Test (Best Model) - Loss: 2.1136 - Accuracy: 0.2333 - F1: 0.2209
sub_7:Test (Best Model) - Loss: 1.7999 - Accuracy: 0.3524 - F1: 0.3395
sub_1:Test (Best Model) - Loss: 1.6843 - Accuracy: 0.3619 - F1: 0.3402
sub_6:Test (Best Model) - Loss: 1.6506 - Accuracy: 0.2571 - F1: 0.2257
sub_4:Test (Best Model) - Loss: 2.0623 - Accuracy: 0.2190 - F1: 0.1563
sub_3:Test (Best Model) - Loss: 1.6177 - Accuracy: 0.2714 - F1: 0.2004
sub_2:Test (Best Model) - Loss: 1.8165 - Accuracy: 0.4095 - F1: 0.3755
sub_7:Test (Best Model) - Loss: 1.7671 - Accuracy: 0.3000 - F1: 0.2560
sub_5:Test (Best Model) - Loss: 1.9467 - Accuracy: 0.3143 - F1: 0.3113
sub_6:Test (Best Model) - Loss: 1.8341 - Accuracy: 0.2619 - F1: 0.2419
sub_1:Test (Best Model) - Loss: 1.6892 - Accuracy: 0.3476 - F1: 0.3181
sub_4:Test (Best Model) - Loss: 1.9039 - Accuracy: 0.3381 - F1: 0.3372
sub_2:Test (Best Model) - Loss: 1.8880 - Accuracy: 0.3143 - F1: 0.2392
sub_3:Test (Best Model) - Loss: 1.9126 - Accuracy: 0.2667 - F1: 0.2564
sub_1:Test (Best Model) - Loss: 2.2797 - Accuracy: 0.2810 - F1: 0.1857
sub_7:Test (Best Model) - Loss: 1.8090 - Accuracy: 0.2810 - F1: 0.2310
sub_6:Test (Best Model) - Loss: 1.4989 - Accuracy: 0.2857 - F1: 0.2886
sub_5:Test (Best Model) - Loss: 1.5360 - Accuracy: 0.3667 - F1: 0.3585
sub_1:Test (Best Model) - Loss: 2.6530 - Accuracy: 0.2429 - F1: 0.1497
sub_2:Test (Best Model) - Loss: 2.1011 - Accuracy: 0.3190 - F1: 0.2700
sub_4:Test (Best Model) - Loss: 1.9476 - Accuracy: 0.3143 - F1: 0.3144
sub_7:Test (Best Model) - Loss: 1.5026 - Accuracy: 0.3476 - F1: 0.3128
sub_5:Test (Best Model) - Loss: 1.4977 - Accuracy: 0.3429 - F1: 0.3195
sub_3:Test (Best Model) - Loss: 1.8485 - Accuracy: 0.2714 - F1: 0.2614
sub_1:Test (Best Model) - Loss: 3.4227 - Accuracy: 0.3143 - F1: 0.2404
sub_2:Test (Best Model) - Loss: 1.4413 - Accuracy: 0.4238 - F1: 0.4159
sub_4:Test (Best Model) - Loss: 1.9335 - Accuracy: 0.3810 - F1: 0.3785
sub_3:Test (Best Model) - Loss: 1.8025 - Accuracy: 0.2143 - F1: 0.1396
sub_7:Test (Best Model) - Loss: 1.6839 - Accuracy: 0.2857 - F1: 0.2619
sub_4:Test (Best Model) - Loss: 1.8731 - Accuracy: 0.3095 - F1: 0.2608
sub_2:Test (Best Model) - Loss: 1.6458 - Accuracy: 0.3143 - F1: 0.2652
sub_5:Test (Best Model) - Loss: 2.4214 - Accuracy: 0.2905 - F1: 0.2753
sub_1:Test (Best Model) - Loss: 1.8503 - Accuracy: 0.3190 - F1: 0.2652
sub_5:Test (Best Model) - Loss: 1.6803 - Accuracy: 0.2571 - F1: 0.1846
sub_4:Test (Best Model) - Loss: 1.7825 - Accuracy: 0.3619 - F1: 0.3587
sub_3:Test (Best Model) - Loss: 1.8736 - Accuracy: 0.2333 - F1: 0.1531
sub_5:Test (Best Model) - Loss: 1.6165 - Accuracy: 0.3333 - F1: 0.3379
sub_5:Test (Best Model) - Loss: 1.5517 - Accuracy: 0.3524 - F1: 0.3086
sub_5:Test (Best Model) - Loss: 1.5659 - Accuracy: 0.2524 - F1: 0.2122
sub_12:Test (Best Model) - Loss: 2.0127 - Accuracy: 0.2762 - F1: 0.2001
sub_11:Test (Best Model) - Loss: 1.9037 - Accuracy: 0.3238 - F1: 0.3136
sub_13:Test (Best Model) - Loss: 2.1103 - Accuracy: 0.2476 - F1: 0.1777
sub_14:Test (Best Model) - Loss: 2.1486 - Accuracy: 0.3095 - F1: 0.2038
sub_8:Test (Best Model) - Loss: 1.8499 - Accuracy: 0.2381 - F1: 0.2252
sub_10:Test (Best Model) - Loss: 1.6268 - Accuracy: 0.3619 - F1: 0.3299
sub_9:Test (Best Model) - Loss: 1.8898 - Accuracy: 0.3905 - F1: 0.3542
sub_12:Test (Best Model) - Loss: 1.8107 - Accuracy: 0.2524 - F1: 0.2397
sub_10:Test (Best Model) - Loss: 1.8264 - Accuracy: 0.2952 - F1: 0.1999
sub_8:Test (Best Model) - Loss: 1.7768 - Accuracy: 0.3095 - F1: 0.2624
sub_11:Test (Best Model) - Loss: 2.0840 - Accuracy: 0.2476 - F1: 0.2055
sub_14:Test (Best Model) - Loss: 2.3582 - Accuracy: 0.3095 - F1: 0.2623
sub_13:Test (Best Model) - Loss: 1.6752 - Accuracy: 0.3571 - F1: 0.3104
sub_9:Test (Best Model) - Loss: 1.9502 - Accuracy: 0.3714 - F1: 0.2626
sub_11:Test (Best Model) - Loss: 1.7120 - Accuracy: 0.3476 - F1: 0.3142
sub_10:Test (Best Model) - Loss: 2.1120 - Accuracy: 0.3238 - F1: 0.2277
sub_13:Test (Best Model) - Loss: 1.8164 - Accuracy: 0.3333 - F1: 0.2853
sub_12:Test (Best Model) - Loss: 2.1614 - Accuracy: 0.2714 - F1: 0.2313
sub_8:Test (Best Model) - Loss: 1.4755 - Accuracy: 0.3381 - F1: 0.2944
sub_14:Test (Best Model) - Loss: 1.8718 - Accuracy: 0.4000 - F1: 0.3707
sub_9:Test (Best Model) - Loss: 1.5919 - Accuracy: 0.3619 - F1: 0.2655
sub_11:Test (Best Model) - Loss: 2.7740 - Accuracy: 0.2476 - F1: 0.2118
sub_10:Test (Best Model) - Loss: 1.7999 - Accuracy: 0.3333 - F1: 0.2434
sub_13:Test (Best Model) - Loss: 1.7615 - Accuracy: 0.3286 - F1: 0.2622
sub_14:Test (Best Model) - Loss: 1.7632 - Accuracy: 0.1857 - F1: 0.1823
sub_9:Test (Best Model) - Loss: 1.4882 - Accuracy: 0.2714 - F1: 0.2434
sub_12:Test (Best Model) - Loss: 1.6488 - Accuracy: 0.2857 - F1: 0.2535
sub_8:Test (Best Model) - Loss: 1.5319 - Accuracy: 0.3143 - F1: 0.2904
sub_10:Test (Best Model) - Loss: 2.6348 - Accuracy: 0.2190 - F1: 0.1100
sub_11:Test (Best Model) - Loss: 2.1429 - Accuracy: 0.2333 - F1: 0.1984
sub_13:Test (Best Model) - Loss: 1.9057 - Accuracy: 0.3000 - F1: 0.2488
sub_10:Test (Best Model) - Loss: 1.3972 - Accuracy: 0.3571 - F1: 0.3076
sub_9:Test (Best Model) - Loss: 1.6585 - Accuracy: 0.2667 - F1: 0.2497
sub_12:Test (Best Model) - Loss: 2.8135 - Accuracy: 0.3095 - F1: 0.2629
sub_11:Test (Best Model) - Loss: 2.1118 - Accuracy: 0.2905 - F1: 0.2616
sub_14:Test (Best Model) - Loss: 2.2589 - Accuracy: 0.4143 - F1: 0.3700
sub_10:Test (Best Model) - Loss: 2.4716 - Accuracy: 0.2429 - F1: 0.1455
sub_8:Test (Best Model) - Loss: 1.7005 - Accuracy: 0.3524 - F1: 0.3639
sub_13:Test (Best Model) - Loss: 1.9316 - Accuracy: 0.3381 - F1: 0.2990
sub_9:Test (Best Model) - Loss: 1.7738 - Accuracy: 0.3571 - F1: 0.2377
sub_12:Test (Best Model) - Loss: 1.5360 - Accuracy: 0.3286 - F1: 0.3140
sub_11:Test (Best Model) - Loss: 2.1343 - Accuracy: 0.2762 - F1: 0.2293
sub_8:Test (Best Model) - Loss: 1.3977 - Accuracy: 0.3333 - F1: 0.2696
sub_10:Test (Best Model) - Loss: 1.5983 - Accuracy: 0.3190 - F1: 0.2242
sub_14:Test (Best Model) - Loss: 1.5450 - Accuracy: 0.3286 - F1: 0.3190
sub_9:Test (Best Model) - Loss: 1.3596 - Accuracy: 0.3143 - F1: 0.3044
sub_13:Test (Best Model) - Loss: 2.4089 - Accuracy: 0.2762 - F1: 0.2198
sub_12:Test (Best Model) - Loss: 1.4437 - Accuracy: 0.3190 - F1: 0.2712
sub_8:Test (Best Model) - Loss: 1.6389 - Accuracy: 0.2667 - F1: 0.2222
sub_12:Test (Best Model) - Loss: 1.5713 - Accuracy: 0.2905 - F1: 0.2650
sub_10:Test (Best Model) - Loss: 2.7222 - Accuracy: 0.2762 - F1: 0.2109
sub_11:Test (Best Model) - Loss: 2.3670 - Accuracy: 0.2952 - F1: 0.2919
sub_8:Test (Best Model) - Loss: 1.3549 - Accuracy: 0.3571 - F1: 0.3570
sub_13:Test (Best Model) - Loss: 1.9065 - Accuracy: 0.2667 - F1: 0.2067
sub_14:Test (Best Model) - Loss: 1.8978 - Accuracy: 0.2905 - F1: 0.2596
sub_9:Test (Best Model) - Loss: 1.8071 - Accuracy: 0.3381 - F1: 0.2072
sub_8:Test (Best Model) - Loss: 1.4812 - Accuracy: 0.2905 - F1: 0.2439
sub_13:Test (Best Model) - Loss: 2.3960 - Accuracy: 0.3000 - F1: 0.2725
sub_12:Test (Best Model) - Loss: 2.0647 - Accuracy: 0.3238 - F1: 0.2943
sub_11:Test (Best Model) - Loss: 2.2848 - Accuracy: 0.3095 - F1: 0.3050
sub_10:Test (Best Model) - Loss: 1.5028 - Accuracy: 0.3619 - F1: 0.3542
sub_14:Test (Best Model) - Loss: 1.4327 - Accuracy: 0.3619 - F1: 0.2631
sub_12:Test (Best Model) - Loss: 1.6444 - Accuracy: 0.3000 - F1: 0.2840
sub_9:Test (Best Model) - Loss: 1.6409 - Accuracy: 0.3095 - F1: 0.2917
sub_8:Test (Best Model) - Loss: 1.5320 - Accuracy: 0.3286 - F1: 0.2978
sub_11:Test (Best Model) - Loss: 1.9926 - Accuracy: 0.3333 - F1: 0.3357
sub_13:Test (Best Model) - Loss: 1.8845 - Accuracy: 0.3143 - F1: 0.2805
sub_10:Test (Best Model) - Loss: 1.6911 - Accuracy: 0.3095 - F1: 0.2881
sub_9:Test (Best Model) - Loss: 1.7793 - Accuracy: 0.3143 - F1: 0.2499
sub_11:Test (Best Model) - Loss: 1.6187 - Accuracy: 0.2905 - F1: 0.2775
sub_12:Test (Best Model) - Loss: 2.1841 - Accuracy: 0.2381 - F1: 0.2053
sub_8:Test (Best Model) - Loss: 2.1536 - Accuracy: 0.3238 - F1: 0.2597
sub_9:Test (Best Model) - Loss: 1.6196 - Accuracy: 0.2762 - F1: 0.2255
sub_13:Test (Best Model) - Loss: 2.3173 - Accuracy: 0.2381 - F1: 0.1566
sub_10:Test (Best Model) - Loss: 1.5366 - Accuracy: 0.3238 - F1: 0.2904
sub_14:Test (Best Model) - Loss: 1.4150 - Accuracy: 0.3905 - F1: 0.3207
sub_9:Test (Best Model) - Loss: 1.7238 - Accuracy: 0.2667 - F1: 0.1773
sub_12:Test (Best Model) - Loss: 1.6582 - Accuracy: 0.2333 - F1: 0.2237
sub_11:Test (Best Model) - Loss: 1.7974 - Accuracy: 0.3333 - F1: 0.3105
sub_8:Test (Best Model) - Loss: 1.4836 - Accuracy: 0.3381 - F1: 0.3165
sub_12:Test (Best Model) - Loss: 1.5667 - Accuracy: 0.2810 - F1: 0.2451
sub_9:Test (Best Model) - Loss: 1.4816 - Accuracy: 0.3238 - F1: 0.3163
sub_13:Test (Best Model) - Loss: 1.9831 - Accuracy: 0.3524 - F1: 0.3323
sub_14:Test (Best Model) - Loss: 1.3555 - Accuracy: 0.3952 - F1: 0.3751
sub_10:Test (Best Model) - Loss: 1.9126 - Accuracy: 0.3095 - F1: 0.1961
sub_9:Test (Best Model) - Loss: 1.3965 - Accuracy: 0.2857 - F1: 0.2168
sub_11:Test (Best Model) - Loss: 1.6490 - Accuracy: 0.2714 - F1: 0.2364
sub_13:Test (Best Model) - Loss: 2.2472 - Accuracy: 0.3333 - F1: 0.3062
sub_12:Test (Best Model) - Loss: 1.7658 - Accuracy: 0.2714 - F1: 0.2065
sub_8:Test (Best Model) - Loss: 2.8229 - Accuracy: 0.3714 - F1: 0.3215
sub_14:Test (Best Model) - Loss: 2.0041 - Accuracy: 0.3571 - F1: 0.2898
sub_9:Test (Best Model) - Loss: 1.7480 - Accuracy: 0.3190 - F1: 0.2727
sub_12:Test (Best Model) - Loss: 1.8096 - Accuracy: 0.2476 - F1: 0.2336
sub_11:Test (Best Model) - Loss: 1.5678 - Accuracy: 0.3143 - F1: 0.3249
sub_14:Test (Best Model) - Loss: 1.5934 - Accuracy: 0.2381 - F1: 0.1657
sub_13:Test (Best Model) - Loss: 2.4536 - Accuracy: 0.2905 - F1: 0.2814
sub_10:Test (Best Model) - Loss: 1.7154 - Accuracy: 0.3238 - F1: 0.2751
sub_8:Test (Best Model) - Loss: 1.6030 - Accuracy: 0.3619 - F1: 0.3314
sub_13:Test (Best Model) - Loss: 1.5483 - Accuracy: 0.3571 - F1: 0.3396
sub_11:Test (Best Model) - Loss: 1.9865 - Accuracy: 0.2714 - F1: 0.2451
sub_10:Test (Best Model) - Loss: 1.7483 - Accuracy: 0.2857 - F1: 0.2195
sub_8:Test (Best Model) - Loss: 2.1134 - Accuracy: 0.3286 - F1: 0.2468
sub_14:Test (Best Model) - Loss: 2.0476 - Accuracy: 0.4000 - F1: 0.3648
sub_14:Test (Best Model) - Loss: 1.7133 - Accuracy: 0.3714 - F1: 0.3720
sub_14:Test (Best Model) - Loss: 1.6476 - Accuracy: 0.3333 - F1: 0.3001

=== Summary Results ===

acc: 31.56 ± 3.51
F1: 27.60 ± 4.07
acc-in: 39.22 ± 3.48
F1-in: 33.97 ± 4.53
runing time: 1577.80 seconds
