lr: 0.0001
sub_3:Test (Best Model) - Loss: 4.2532 - Accuracy: 0.2714 - F1: 0.1836
sub_1:Test (Best Model) - Loss: 4.0909 - Accuracy: 0.2667 - F1: 0.2379
sub_2:Test (Best Model) - Loss: 2.2734 - Accuracy: 0.4190 - F1: 0.3578
sub_1:Test (Best Model) - Loss: 4.4640 - Accuracy: 0.3190 - F1: 0.2832
sub_3:Test (Best Model) - Loss: 3.3566 - Accuracy: 0.2333 - F1: 0.1271
sub_2:Test (Best Model) - Loss: 1.7229 - Accuracy: 0.3857 - F1: 0.3103
sub_3:Test (Best Model) - Loss: 2.7072 - Accuracy: 0.3095 - F1: 0.2472
sub_1:Test (Best Model) - Loss: 3.7932 - Accuracy: 0.2905 - F1: 0.2451
sub_2:Test (Best Model) - Loss: 1.7288 - Accuracy: 0.4095 - F1: 0.3429
sub_2:Test (Best Model) - Loss: 2.0207 - Accuracy: 0.3524 - F1: 0.2783
sub_3:Test (Best Model) - Loss: 4.2828 - Accuracy: 0.2762 - F1: 0.1942
sub_1:Test (Best Model) - Loss: 3.9748 - Accuracy: 0.3476 - F1: 0.3152
sub_2:Test (Best Model) - Loss: 1.7814 - Accuracy: 0.3238 - F1: 0.2566
sub_3:Test (Best Model) - Loss: 2.8289 - Accuracy: 0.2905 - F1: 0.2117
sub_1:Test (Best Model) - Loss: 3.4922 - Accuracy: 0.3381 - F1: 0.2961
sub_3:Test (Best Model) - Loss: 1.5507 - Accuracy: 0.3238 - F1: 0.2768
sub_2:Test (Best Model) - Loss: 2.1496 - Accuracy: 0.3810 - F1: 0.3495
sub_1:Test (Best Model) - Loss: 3.1352 - Accuracy: 0.3429 - F1: 0.3310
sub_3:Test (Best Model) - Loss: 2.0669 - Accuracy: 0.2667 - F1: 0.2578
sub_2:Test (Best Model) - Loss: 1.8993 - Accuracy: 0.3429 - F1: 0.3471
sub_1:Test (Best Model) - Loss: 2.6833 - Accuracy: 0.3571 - F1: 0.3490
sub_2:Test (Best Model) - Loss: 1.5919 - Accuracy: 0.3524 - F1: 0.3319
sub_3:Test (Best Model) - Loss: 1.9056 - Accuracy: 0.2667 - F1: 0.2779
sub_1:Test (Best Model) - Loss: 3.0764 - Accuracy: 0.3238 - F1: 0.2921
sub_1:Test (Best Model) - Loss: 1.8238 - Accuracy: 0.3619 - F1: 0.3353
sub_3:Test (Best Model) - Loss: 1.7305 - Accuracy: 0.3524 - F1: 0.3438
sub_2:Test (Best Model) - Loss: 1.6841 - Accuracy: 0.3429 - F1: 0.3248
sub_3:Test (Best Model) - Loss: 1.6186 - Accuracy: 0.3095 - F1: 0.2933
sub_1:Test (Best Model) - Loss: 2.5864 - Accuracy: 0.3714 - F1: 0.3476
sub_2:Test (Best Model) - Loss: 1.6742 - Accuracy: 0.3429 - F1: 0.3337
sub_3:Test (Best Model) - Loss: 3.8080 - Accuracy: 0.2905 - F1: 0.2282
sub_2:Test (Best Model) - Loss: 4.6271 - Accuracy: 0.2857 - F1: 0.2704
sub_3:Test (Best Model) - Loss: 2.5689 - Accuracy: 0.2762 - F1: 0.2521
sub_1:Test (Best Model) - Loss: 3.0741 - Accuracy: 0.3667 - F1: 0.3316
sub_3:Test (Best Model) - Loss: 2.9549 - Accuracy: 0.2810 - F1: 0.2487
sub_1:Test (Best Model) - Loss: 1.5937 - Accuracy: 0.3381 - F1: 0.3237
sub_2:Test (Best Model) - Loss: 6.3679 - Accuracy: 0.2952 - F1: 0.2861
sub_3:Test (Best Model) - Loss: 3.5887 - Accuracy: 0.2905 - F1: 0.2637
sub_2:Test (Best Model) - Loss: 5.8081 - Accuracy: 0.3190 - F1: 0.2981
sub_1:Test (Best Model) - Loss: 2.4851 - Accuracy: 0.4190 - F1: 0.3975
sub_3:Test (Best Model) - Loss: 3.0519 - Accuracy: 0.3190 - F1: 0.2930
sub_2:Test (Best Model) - Loss: 5.0365 - Accuracy: 0.3095 - F1: 0.2917
sub_1:Test (Best Model) - Loss: 1.9321 - Accuracy: 0.3667 - F1: 0.3345
sub_2:Test (Best Model) - Loss: 5.0371 - Accuracy: 0.2714 - F1: 0.2253
sub_1:Test (Best Model) - Loss: 1.6901 - Accuracy: 0.3571 - F1: 0.3110
sub_6:Test (Best Model) - Loss: 2.9295 - Accuracy: 0.3048 - F1: 0.2751
sub_4:Test (Best Model) - Loss: 2.6021 - Accuracy: 0.3095 - F1: 0.2854
sub_5:Test (Best Model) - Loss: 12.1920 - Accuracy: 0.2571 - F1: 0.2205
sub_4:Test (Best Model) - Loss: 1.9136 - Accuracy: 0.3333 - F1: 0.2954
sub_6:Test (Best Model) - Loss: 3.3414 - Accuracy: 0.3381 - F1: 0.2894
sub_5:Test (Best Model) - Loss: 6.3104 - Accuracy: 0.2333 - F1: 0.2098
sub_4:Test (Best Model) - Loss: 1.9727 - Accuracy: 0.3286 - F1: 0.2927
sub_6:Test (Best Model) - Loss: 2.7236 - Accuracy: 0.2524 - F1: 0.2297
sub_4:Test (Best Model) - Loss: 2.2754 - Accuracy: 0.2857 - F1: 0.2590
sub_5:Test (Best Model) - Loss: 8.1720 - Accuracy: 0.3048 - F1: 0.2769
sub_6:Test (Best Model) - Loss: 3.2218 - Accuracy: 0.2810 - F1: 0.2694
sub_5:Test (Best Model) - Loss: 4.0476 - Accuracy: 0.2857 - F1: 0.2485
sub_4:Test (Best Model) - Loss: 2.0769 - Accuracy: 0.3524 - F1: 0.3265
sub_4:Test (Best Model) - Loss: 1.6578 - Accuracy: 0.3333 - F1: 0.2677
sub_6:Test (Best Model) - Loss: 2.3883 - Accuracy: 0.3286 - F1: 0.3194
sub_5:Test (Best Model) - Loss: 6.2981 - Accuracy: 0.2762 - F1: 0.2394
sub_4:Test (Best Model) - Loss: 1.5608 - Accuracy: 0.3238 - F1: 0.2537
sub_6:Test (Best Model) - Loss: 4.4422 - Accuracy: 0.2857 - F1: 0.2566
sub_4:Test (Best Model) - Loss: 2.2277 - Accuracy: 0.3714 - F1: 0.3173
sub_4:Test (Best Model) - Loss: 1.9078 - Accuracy: 0.3619 - F1: 0.3270
sub_6:Test (Best Model) - Loss: 2.8304 - Accuracy: 0.3238 - F1: 0.2764
sub_5:Test (Best Model) - Loss: 12.2939 - Accuracy: 0.2810 - F1: 0.2673
sub_4:Test (Best Model) - Loss: 2.3279 - Accuracy: 0.3619 - F1: 0.3300
sub_5:Test (Best Model) - Loss: 4.0239 - Accuracy: 0.3048 - F1: 0.2719
sub_6:Test (Best Model) - Loss: 4.3032 - Accuracy: 0.2714 - F1: 0.2276
sub_4:Test (Best Model) - Loss: 1.8332 - Accuracy: 0.3000 - F1: 0.2808
sub_6:Test (Best Model) - Loss: 4.1841 - Accuracy: 0.2857 - F1: 0.2626
sub_5:Test (Best Model) - Loss: 8.1884 - Accuracy: 0.2857 - F1: 0.2706
sub_4:Test (Best Model) - Loss: 2.0143 - Accuracy: 0.3095 - F1: 0.2751
sub_5:Test (Best Model) - Loss: 7.7866 - Accuracy: 0.2571 - F1: 0.2399
sub_6:Test (Best Model) - Loss: 3.8637 - Accuracy: 0.3333 - F1: 0.2979
sub_4:Test (Best Model) - Loss: 1.9485 - Accuracy: 0.3095 - F1: 0.2899
sub_5:Test (Best Model) - Loss: 5.3934 - Accuracy: 0.3476 - F1: 0.3330
sub_6:Test (Best Model) - Loss: 13.1576 - Accuracy: 0.2714 - F1: 0.2530
sub_5:Test (Best Model) - Loss: 2.3426 - Accuracy: 0.1952 - F1: 0.1624
sub_4:Test (Best Model) - Loss: 1.7719 - Accuracy: 0.2952 - F1: 0.2684
sub_6:Test (Best Model) - Loss: 26.9104 - Accuracy: 0.2762 - F1: 0.2358
sub_5:Test (Best Model) - Loss: 2.0899 - Accuracy: 0.2571 - F1: 0.2529
sub_4:Test (Best Model) - Loss: 1.8096 - Accuracy: 0.3143 - F1: 0.2936
sub_6:Test (Best Model) - Loss: 17.7564 - Accuracy: 0.2524 - F1: 0.2249
sub_5:Test (Best Model) - Loss: 1.9372 - Accuracy: 0.2762 - F1: 0.2674
sub_6:Test (Best Model) - Loss: 13.0272 - Accuracy: 0.2905 - F1: 0.2483
sub_5:Test (Best Model) - Loss: 2.6649 - Accuracy: 0.1905 - F1: 0.1749
sub_6:Test (Best Model) - Loss: 20.1241 - Accuracy: 0.2762 - F1: 0.2638
sub_5:Test (Best Model) - Loss: 2.1518 - Accuracy: 0.2286 - F1: 0.2114
sub_9:Test (Best Model) - Loss: 4.0386 - Accuracy: 0.3619 - F1: 0.2556
sub_8:Test (Best Model) - Loss: 2.6340 - Accuracy: 0.4048 - F1: 0.3764
sub_7:Test (Best Model) - Loss: 2.4688 - Accuracy: 0.3048 - F1: 0.3030
sub_9:Test (Best Model) - Loss: 3.4169 - Accuracy: 0.2857 - F1: 0.1905
sub_7:Test (Best Model) - Loss: 2.5937 - Accuracy: 0.3238 - F1: 0.3263
sub_9:Test (Best Model) - Loss: 3.8808 - Accuracy: 0.3000 - F1: 0.1966
sub_8:Test (Best Model) - Loss: 3.1134 - Accuracy: 0.4476 - F1: 0.4025
sub_8:Test (Best Model) - Loss: 2.0443 - Accuracy: 0.4381 - F1: 0.3680
sub_7:Test (Best Model) - Loss: 1.9570 - Accuracy: 0.3476 - F1: 0.3481
sub_9:Test (Best Model) - Loss: 5.0436 - Accuracy: 0.2857 - F1: 0.2024
sub_8:Test (Best Model) - Loss: 1.6507 - Accuracy: 0.4048 - F1: 0.3274
sub_7:Test (Best Model) - Loss: 1.6512 - Accuracy: 0.2667 - F1: 0.2668
sub_9:Test (Best Model) - Loss: 9.4268 - Accuracy: 0.1952 - F1: 0.0656
sub_8:Test (Best Model) - Loss: 1.5386 - Accuracy: 0.3905 - F1: 0.3451
sub_7:Test (Best Model) - Loss: 1.5995 - Accuracy: 0.2905 - F1: 0.2806
sub_7:Test (Best Model) - Loss: 2.1799 - Accuracy: 0.3143 - F1: 0.3087
sub_8:Test (Best Model) - Loss: 1.1858 - Accuracy: 0.4810 - F1: 0.4632
sub_9:Test (Best Model) - Loss: 5.9709 - Accuracy: 0.3048 - F1: 0.2806
sub_8:Test (Best Model) - Loss: 1.2251 - Accuracy: 0.4476 - F1: 0.4164
sub_7:Test (Best Model) - Loss: 2.1402 - Accuracy: 0.3333 - F1: 0.3220
sub_8:Test (Best Model) - Loss: 1.2607 - Accuracy: 0.4429 - F1: 0.4171
sub_7:Test (Best Model) - Loss: 2.0641 - Accuracy: 0.3333 - F1: 0.3208
sub_9:Test (Best Model) - Loss: 2.8633 - Accuracy: 0.3429 - F1: 0.2875
sub_8:Test (Best Model) - Loss: 1.3016 - Accuracy: 0.3952 - F1: 0.3537
sub_7:Test (Best Model) - Loss: 2.1972 - Accuracy: 0.3048 - F1: 0.2999
sub_9:Test (Best Model) - Loss: 6.0404 - Accuracy: 0.3333 - F1: 0.2702
sub_8:Test (Best Model) - Loss: 1.2763 - Accuracy: 0.4476 - F1: 0.4310
sub_7:Test (Best Model) - Loss: 2.1808 - Accuracy: 0.3095 - F1: 0.2985
sub_7:Test (Best Model) - Loss: 4.5062 - Accuracy: 0.3190 - F1: 0.2704
sub_8:Test (Best Model) - Loss: 5.3064 - Accuracy: 0.3762 - F1: 0.3488
sub_9:Test (Best Model) - Loss: 2.1483 - Accuracy: 0.3429 - F1: 0.2975
sub_7:Test (Best Model) - Loss: 3.0142 - Accuracy: 0.3333 - F1: 0.3021
sub_8:Test (Best Model) - Loss: 4.7988 - Accuracy: 0.3952 - F1: 0.3628
sub_9:Test (Best Model) - Loss: 2.1369 - Accuracy: 0.3476 - F1: 0.2961
sub_7:Test (Best Model) - Loss: 3.4019 - Accuracy: 0.3238 - F1: 0.3067
sub_8:Test (Best Model) - Loss: 6.2899 - Accuracy: 0.3000 - F1: 0.2551
sub_9:Test (Best Model) - Loss: 5.4927 - Accuracy: 0.2095 - F1: 0.1778
sub_7:Test (Best Model) - Loss: 4.0038 - Accuracy: 0.2905 - F1: 0.2711
sub_8:Test (Best Model) - Loss: 4.7595 - Accuracy: 0.3429 - F1: 0.3036
sub_7:Test (Best Model) - Loss: 3.2442 - Accuracy: 0.3286 - F1: 0.2963
sub_9:Test (Best Model) - Loss: 4.8151 - Accuracy: 0.2571 - F1: 0.1953
sub_8:Test (Best Model) - Loss: 5.7270 - Accuracy: 0.3095 - F1: 0.2660
sub_9:Test (Best Model) - Loss: 4.9052 - Accuracy: 0.2619 - F1: 0.1951
sub_9:Test (Best Model) - Loss: 10.7941 - Accuracy: 0.2667 - F1: 0.2194
sub_9:Test (Best Model) - Loss: 3.8470 - Accuracy: 0.1952 - F1: 0.1479
sub_12:Test (Best Model) - Loss: 1.4341 - Accuracy: 0.3381 - F1: 0.2968
sub_10:Test (Best Model) - Loss: 3.2539 - Accuracy: 0.3952 - F1: 0.3619
sub_11:Test (Best Model) - Loss: 3.2037 - Accuracy: 0.3714 - F1: 0.3538
sub_12:Test (Best Model) - Loss: 1.5169 - Accuracy: 0.3476 - F1: 0.3486
sub_10:Test (Best Model) - Loss: 3.0001 - Accuracy: 0.3524 - F1: 0.3318
sub_11:Test (Best Model) - Loss: 2.5453 - Accuracy: 0.3619 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 1.5713 - Accuracy: 0.3810 - F1: 0.3713
sub_10:Test (Best Model) - Loss: 1.6250 - Accuracy: 0.3762 - F1: 0.3436
sub_12:Test (Best Model) - Loss: 1.5097 - Accuracy: 0.2762 - F1: 0.2114
sub_10:Test (Best Model) - Loss: 2.5060 - Accuracy: 0.3048 - F1: 0.2603
sub_11:Test (Best Model) - Loss: 2.7251 - Accuracy: 0.3619 - F1: 0.3216
sub_10:Test (Best Model) - Loss: 1.7814 - Accuracy: 0.3714 - F1: 0.3617
sub_12:Test (Best Model) - Loss: 1.6317 - Accuracy: 0.3524 - F1: 0.3290
sub_11:Test (Best Model) - Loss: 1.8251 - Accuracy: 0.3333 - F1: 0.2992
sub_10:Test (Best Model) - Loss: 1.9813 - Accuracy: 0.3714 - F1: 0.3040
sub_12:Test (Best Model) - Loss: 1.6310 - Accuracy: 0.3333 - F1: 0.3099
sub_10:Test (Best Model) - Loss: 1.4607 - Accuracy: 0.3714 - F1: 0.2987
sub_11:Test (Best Model) - Loss: 2.4609 - Accuracy: 0.3381 - F1: 0.2837
sub_12:Test (Best Model) - Loss: 1.5857 - Accuracy: 0.2952 - F1: 0.2506
sub_10:Test (Best Model) - Loss: 1.4946 - Accuracy: 0.3190 - F1: 0.2581
sub_12:Test (Best Model) - Loss: 1.7679 - Accuracy: 0.3619 - F1: 0.3189
sub_11:Test (Best Model) - Loss: 3.2326 - Accuracy: 0.3143 - F1: 0.2831
sub_10:Test (Best Model) - Loss: 2.2210 - Accuracy: 0.3619 - F1: 0.3242
sub_11:Test (Best Model) - Loss: 2.4787 - Accuracy: 0.2952 - F1: 0.2863
sub_12:Test (Best Model) - Loss: 1.8412 - Accuracy: 0.3238 - F1: 0.2890
sub_10:Test (Best Model) - Loss: 1.5708 - Accuracy: 0.3619 - F1: 0.3252
sub_12:Test (Best Model) - Loss: 1.8560 - Accuracy: 0.3476 - F1: 0.3028
sub_10:Test (Best Model) - Loss: 3.5024 - Accuracy: 0.2333 - F1: 0.1848
sub_11:Test (Best Model) - Loss: 2.6119 - Accuracy: 0.2905 - F1: 0.2682
sub_12:Test (Best Model) - Loss: 14.5571 - Accuracy: 0.2095 - F1: 0.1184
sub_11:Test (Best Model) - Loss: 2.6086 - Accuracy: 0.3048 - F1: 0.2853
sub_10:Test (Best Model) - Loss: 5.1280 - Accuracy: 0.2429 - F1: 0.2055
sub_12:Test (Best Model) - Loss: 9.3819 - Accuracy: 0.2048 - F1: 0.1181
sub_10:Test (Best Model) - Loss: 3.7846 - Accuracy: 0.2857 - F1: 0.2275
sub_11:Test (Best Model) - Loss: 2.8156 - Accuracy: 0.2905 - F1: 0.2755
sub_12:Test (Best Model) - Loss: 12.6828 - Accuracy: 0.2238 - F1: 0.1572
sub_10:Test (Best Model) - Loss: 5.7170 - Accuracy: 0.2762 - F1: 0.1865
sub_11:Test (Best Model) - Loss: 2.1125 - Accuracy: 0.3143 - F1: 0.3081
sub_12:Test (Best Model) - Loss: 19.5671 - Accuracy: 0.1857 - F1: 0.1069
sub_10:Test (Best Model) - Loss: 2.2023 - Accuracy: 0.2619 - F1: 0.2214
sub_12:Test (Best Model) - Loss: 9.3377 - Accuracy: 0.2238 - F1: 0.1423
sub_11:Test (Best Model) - Loss: 2.8836 - Accuracy: 0.3000 - F1: 0.2873
sub_11:Test (Best Model) - Loss: 1.8944 - Accuracy: 0.3286 - F1: 0.3052
sub_11:Test (Best Model) - Loss: 2.0244 - Accuracy: 0.3429 - F1: 0.3217
sub_11:Test (Best Model) - Loss: 1.7016 - Accuracy: 0.3048 - F1: 0.3025
sub_13:Test (Best Model) - Loss: 2.4278 - Accuracy: 0.2762 - F1: 0.2143
sub_14:Test (Best Model) - Loss: 2.7443 - Accuracy: 0.3429 - F1: 0.3579
sub_13:Test (Best Model) - Loss: 1.8719 - Accuracy: 0.3238 - F1: 0.2596
sub_13:Test (Best Model) - Loss: 2.0293 - Accuracy: 0.3000 - F1: 0.2477
sub_14:Test (Best Model) - Loss: 3.1056 - Accuracy: 0.3381 - F1: 0.3548
sub_13:Test (Best Model) - Loss: 3.3216 - Accuracy: 0.2190 - F1: 0.1305
sub_14:Test (Best Model) - Loss: 2.8700 - Accuracy: 0.3810 - F1: 0.3933
sub_13:Test (Best Model) - Loss: 1.5107 - Accuracy: 0.3429 - F1: 0.3115
sub_13:Test (Best Model) - Loss: 1.8497 - Accuracy: 0.3571 - F1: 0.3451
sub_14:Test (Best Model) - Loss: 2.7897 - Accuracy: 0.3762 - F1: 0.3929
sub_14:Test (Best Model) - Loss: 2.2058 - Accuracy: 0.3143 - F1: 0.3254
sub_13:Test (Best Model) - Loss: 2.3557 - Accuracy: 0.3810 - F1: 0.3715
sub_14:Test (Best Model) - Loss: 1.5494 - Accuracy: 0.3429 - F1: 0.3232
sub_14:Test (Best Model) - Loss: 1.5718 - Accuracy: 0.3143 - F1: 0.2564
sub_13:Test (Best Model) - Loss: 1.9424 - Accuracy: 0.3762 - F1: 0.3706
sub_13:Test (Best Model) - Loss: 1.7515 - Accuracy: 0.3667 - F1: 0.3171
sub_14:Test (Best Model) - Loss: 1.4909 - Accuracy: 0.4190 - F1: 0.3967
sub_13:Test (Best Model) - Loss: 2.9214 - Accuracy: 0.3571 - F1: 0.3342
sub_14:Test (Best Model) - Loss: 1.8882 - Accuracy: 0.4619 - F1: 0.4401
sub_13:Test (Best Model) - Loss: 2.1941 - Accuracy: 0.4429 - F1: 0.4109
sub_14:Test (Best Model) - Loss: 1.5073 - Accuracy: 0.4048 - F1: 0.3782
sub_13:Test (Best Model) - Loss: 2.5865 - Accuracy: 0.3524 - F1: 0.3578
sub_14:Test (Best Model) - Loss: 1.8326 - Accuracy: 0.3381 - F1: 0.2948
sub_13:Test (Best Model) - Loss: 2.1688 - Accuracy: 0.4190 - F1: 0.4222
sub_14:Test (Best Model) - Loss: 1.8381 - Accuracy: 0.3095 - F1: 0.2361
sub_13:Test (Best Model) - Loss: 2.6651 - Accuracy: 0.3000 - F1: 0.3119
sub_14:Test (Best Model) - Loss: 2.1508 - Accuracy: 0.3476 - F1: 0.3075
sub_13:Test (Best Model) - Loss: 2.4858 - Accuracy: 0.3619 - F1: 0.3570
sub_14:Test (Best Model) - Loss: 1.8112 - Accuracy: 0.3524 - F1: 0.3224
sub_14:Test (Best Model) - Loss: 1.7994 - Accuracy: 0.3571 - F1: 0.3150

=== Summary Results ===

acc: 32.22 ± 3.44
F1: 28.78 ± 3.94
acc-in: 41.68 ± 3.99
F1-in: 38.23 ± 4.48
runing time: 2932.18 seconds
