lr: 0.0001
sub_1:Test (Best Model) - Loss: 5.2938 - Accuracy: 0.3000 - F1: 0.2329
sub_1:Test (Best Model) - Loss: 5.4586 - Accuracy: 0.3095 - F1: 0.2463
sub_1:Test (Best Model) - Loss: 4.7020 - Accuracy: 0.3143 - F1: 0.2584
sub_1:Test (Best Model) - Loss: 4.3903 - Accuracy: 0.2905 - F1: 0.2220
sub_1:Test (Best Model) - Loss: 4.6399 - Accuracy: 0.2905 - F1: 0.2176
sub_1:Test (Best Model) - Loss: 2.8186 - Accuracy: 0.3143 - F1: 0.3167
sub_1:Test (Best Model) - Loss: 2.6078 - Accuracy: 0.3476 - F1: 0.3448
sub_1:Test (Best Model) - Loss: 2.6633 - Accuracy: 0.3333 - F1: 0.3349
sub_1:Test (Best Model) - Loss: 2.5421 - Accuracy: 0.3524 - F1: 0.3584
sub_1:Test (Best Model) - Loss: 2.8945 - Accuracy: 0.3048 - F1: 0.3097
sub_1:Test (Best Model) - Loss: 2.8865 - Accuracy: 0.3333 - F1: 0.3396
sub_1:Test (Best Model) - Loss: 3.0199 - Accuracy: 0.2857 - F1: 0.2854
sub_1:Test (Best Model) - Loss: 2.7516 - Accuracy: 0.2952 - F1: 0.2950
sub_1:Test (Best Model) - Loss: 2.6530 - Accuracy: 0.2857 - F1: 0.2849
sub_1:Test (Best Model) - Loss: 2.8097 - Accuracy: 0.3143 - F1: 0.3140
sub_2:Test (Best Model) - Loss: 3.0051 - Accuracy: 0.3429 - F1: 0.2512
sub_2:Test (Best Model) - Loss: 2.9104 - Accuracy: 0.3143 - F1: 0.2414
sub_2:Test (Best Model) - Loss: 2.7914 - Accuracy: 0.3190 - F1: 0.2469
sub_2:Test (Best Model) - Loss: 3.0261 - Accuracy: 0.3333 - F1: 0.2421
sub_2:Test (Best Model) - Loss: 3.7059 - Accuracy: 0.2762 - F1: 0.1861
sub_2:Test (Best Model) - Loss: 2.4957 - Accuracy: 0.3619 - F1: 0.3758
sub_2:Test (Best Model) - Loss: 2.4102 - Accuracy: 0.3762 - F1: 0.3891
sub_2:Test (Best Model) - Loss: 2.4628 - Accuracy: 0.4000 - F1: 0.4034
sub_2:Test (Best Model) - Loss: 2.3609 - Accuracy: 0.3190 - F1: 0.3238
sub_2:Test (Best Model) - Loss: 2.4601 - Accuracy: 0.3238 - F1: 0.3347
sub_2:Test (Best Model) - Loss: 2.3925 - Accuracy: 0.2952 - F1: 0.3016
sub_2:Test (Best Model) - Loss: 2.3836 - Accuracy: 0.3143 - F1: 0.3257
sub_2:Test (Best Model) - Loss: 2.3774 - Accuracy: 0.2857 - F1: 0.2954
sub_2:Test (Best Model) - Loss: 2.4862 - Accuracy: 0.3048 - F1: 0.3211
sub_2:Test (Best Model) - Loss: 2.7337 - Accuracy: 0.3048 - F1: 0.3178
sub_3:Test (Best Model) - Loss: 3.3347 - Accuracy: 0.2524 - F1: 0.1963
sub_3:Test (Best Model) - Loss: 3.5506 - Accuracy: 0.2667 - F1: 0.1937
sub_3:Test (Best Model) - Loss: 3.5608 - Accuracy: 0.2810 - F1: 0.2248
sub_3:Test (Best Model) - Loss: 3.8422 - Accuracy: 0.2333 - F1: 0.1647
sub_3:Test (Best Model) - Loss: 5.3328 - Accuracy: 0.2286 - F1: 0.1197
sub_3:Test (Best Model) - Loss: 3.0532 - Accuracy: 0.2952 - F1: 0.2963
sub_3:Test (Best Model) - Loss: 3.1159 - Accuracy: 0.2857 - F1: 0.2837
sub_3:Test (Best Model) - Loss: 2.9769 - Accuracy: 0.2952 - F1: 0.2876
sub_3:Test (Best Model) - Loss: 3.0421 - Accuracy: 0.2905 - F1: 0.2930
sub_3:Test (Best Model) - Loss: 2.9769 - Accuracy: 0.2905 - F1: 0.2842
sub_3:Test (Best Model) - Loss: 3.6845 - Accuracy: 0.2714 - F1: 0.2662
sub_3:Test (Best Model) - Loss: 3.4963 - Accuracy: 0.2714 - F1: 0.2774
sub_3:Test (Best Model) - Loss: 3.3900 - Accuracy: 0.3000 - F1: 0.2874
sub_3:Test (Best Model) - Loss: 3.3778 - Accuracy: 0.2714 - F1: 0.2760
sub_3:Test (Best Model) - Loss: 3.7010 - Accuracy: 0.2762 - F1: 0.2651
sub_4:Test (Best Model) - Loss: 2.5126 - Accuracy: 0.3524 - F1: 0.3515
sub_4:Test (Best Model) - Loss: 2.9893 - Accuracy: 0.2857 - F1: 0.2869
sub_4:Test (Best Model) - Loss: 2.8562 - Accuracy: 0.2571 - F1: 0.2542
sub_4:Test (Best Model) - Loss: 2.4081 - Accuracy: 0.2857 - F1: 0.2853
sub_4:Test (Best Model) - Loss: 2.5880 - Accuracy: 0.2667 - F1: 0.2634
sub_4:Test (Best Model) - Loss: 3.2273 - Accuracy: 0.2714 - F1: 0.2508
sub_4:Test (Best Model) - Loss: 3.2140 - Accuracy: 0.2714 - F1: 0.2708
sub_4:Test (Best Model) - Loss: 3.2588 - Accuracy: 0.2857 - F1: 0.2794
sub_4:Test (Best Model) - Loss: 2.8161 - Accuracy: 0.3095 - F1: 0.2974
sub_4:Test (Best Model) - Loss: 2.7499 - Accuracy: 0.2905 - F1: 0.2731
sub_4:Test (Best Model) - Loss: 2.3427 - Accuracy: 0.3714 - F1: 0.3424
sub_4:Test (Best Model) - Loss: 2.5216 - Accuracy: 0.3810 - F1: 0.3602
sub_4:Test (Best Model) - Loss: 2.3572 - Accuracy: 0.3476 - F1: 0.2931
sub_4:Test (Best Model) - Loss: 2.5762 - Accuracy: 0.3524 - F1: 0.3313
sub_4:Test (Best Model) - Loss: 2.3089 - Accuracy: 0.3905 - F1: 0.3634
sub_5:Test (Best Model) - Loss: 4.4362 - Accuracy: 0.3190 - F1: 0.2571
sub_5:Test (Best Model) - Loss: 3.8242 - Accuracy: 0.3286 - F1: 0.2565
sub_5:Test (Best Model) - Loss: 3.8298 - Accuracy: 0.3857 - F1: 0.3232
sub_5:Test (Best Model) - Loss: 4.2467 - Accuracy: 0.3714 - F1: 0.3036
sub_5:Test (Best Model) - Loss: 4.3671 - Accuracy: 0.3429 - F1: 0.2658
sub_5:Test (Best Model) - Loss: 2.5605 - Accuracy: 0.3810 - F1: 0.3859
sub_5:Test (Best Model) - Loss: 2.6573 - Accuracy: 0.3714 - F1: 0.3751
sub_5:Test (Best Model) - Loss: 2.3773 - Accuracy: 0.4095 - F1: 0.4165
sub_5:Test (Best Model) - Loss: 2.5742 - Accuracy: 0.3952 - F1: 0.3952
sub_5:Test (Best Model) - Loss: 2.6159 - Accuracy: 0.3476 - F1: 0.3449
sub_5:Test (Best Model) - Loss: 2.7579 - Accuracy: 0.3286 - F1: 0.3477
sub_5:Test (Best Model) - Loss: 2.4985 - Accuracy: 0.3095 - F1: 0.3289
sub_5:Test (Best Model) - Loss: 2.5010 - Accuracy: 0.3667 - F1: 0.3782
sub_5:Test (Best Model) - Loss: 2.3148 - Accuracy: 0.3143 - F1: 0.3331
sub_5:Test (Best Model) - Loss: 2.4804 - Accuracy: 0.3238 - F1: 0.3349
sub_6:Test (Best Model) - Loss: 3.1304 - Accuracy: 0.2714 - F1: 0.2671
sub_6:Test (Best Model) - Loss: 2.9059 - Accuracy: 0.2714 - F1: 0.2747
sub_6:Test (Best Model) - Loss: 3.0378 - Accuracy: 0.2095 - F1: 0.2113
sub_6:Test (Best Model) - Loss: 2.9485 - Accuracy: 0.2810 - F1: 0.2739
sub_6:Test (Best Model) - Loss: 2.9354 - Accuracy: 0.2667 - F1: 0.2487
sub_6:Test (Best Model) - Loss: 2.7026 - Accuracy: 0.3286 - F1: 0.3224
sub_6:Test (Best Model) - Loss: 3.2282 - Accuracy: 0.2762 - F1: 0.2713
sub_6:Test (Best Model) - Loss: 2.4755 - Accuracy: 0.3286 - F1: 0.3096
sub_6:Test (Best Model) - Loss: 2.6693 - Accuracy: 0.2524 - F1: 0.2356
sub_6:Test (Best Model) - Loss: 2.4174 - Accuracy: 0.3048 - F1: 0.2875
sub_6:Test (Best Model) - Loss: 2.3035 - Accuracy: 0.3238 - F1: 0.3094
sub_6:Test (Best Model) - Loss: 2.4854 - Accuracy: 0.2571 - F1: 0.2558
sub_6:Test (Best Model) - Loss: 2.2878 - Accuracy: 0.3286 - F1: 0.3260
sub_6:Test (Best Model) - Loss: 2.5128 - Accuracy: 0.2619 - F1: 0.2579
sub_6:Test (Best Model) - Loss: 2.4738 - Accuracy: 0.3048 - F1: 0.2969
sub_7:Test (Best Model) - Loss: 3.4822 - Accuracy: 0.2286 - F1: 0.2050
sub_7:Test (Best Model) - Loss: 3.3600 - Accuracy: 0.2571 - F1: 0.2344
sub_7:Test (Best Model) - Loss: 3.3180 - Accuracy: 0.2571 - F1: 0.2277
sub_7:Test (Best Model) - Loss: 3.4299 - Accuracy: 0.2381 - F1: 0.2095
sub_7:Test (Best Model) - Loss: 3.5900 - Accuracy: 0.2524 - F1: 0.2168
sub_7:Test (Best Model) - Loss: 3.0379 - Accuracy: 0.2286 - F1: 0.2351
sub_7:Test (Best Model) - Loss: 2.8024 - Accuracy: 0.2190 - F1: 0.2241
sub_7:Test (Best Model) - Loss: 3.2716 - Accuracy: 0.2286 - F1: 0.2337
sub_7:Test (Best Model) - Loss: 3.0748 - Accuracy: 0.2429 - F1: 0.2468
sub_7:Test (Best Model) - Loss: 2.9827 - Accuracy: 0.2048 - F1: 0.1987
sub_7:Test (Best Model) - Loss: 2.9372 - Accuracy: 0.1905 - F1: 0.1918
sub_7:Test (Best Model) - Loss: 2.9299 - Accuracy: 0.2143 - F1: 0.2144
sub_7:Test (Best Model) - Loss: 2.9468 - Accuracy: 0.2476 - F1: 0.2364
sub_7:Test (Best Model) - Loss: 2.8075 - Accuracy: 0.2143 - F1: 0.2129
sub_7:Test (Best Model) - Loss: 2.5283 - Accuracy: 0.2286 - F1: 0.2334
sub_8:Test (Best Model) - Loss: 2.9375 - Accuracy: 0.3952 - F1: 0.3700
sub_8:Test (Best Model) - Loss: 3.1722 - Accuracy: 0.3857 - F1: 0.3494
sub_8:Test (Best Model) - Loss: 3.3239 - Accuracy: 0.3857 - F1: 0.3563
sub_8:Test (Best Model) - Loss: 3.5076 - Accuracy: 0.3571 - F1: 0.3322
sub_8:Test (Best Model) - Loss: 3.1540 - Accuracy: 0.3619 - F1: 0.3340
sub_8:Test (Best Model) - Loss: 2.7185 - Accuracy: 0.3762 - F1: 0.3845
sub_8:Test (Best Model) - Loss: 2.9400 - Accuracy: 0.3333 - F1: 0.3360
sub_8:Test (Best Model) - Loss: 2.5015 - Accuracy: 0.3524 - F1: 0.3630
sub_8:Test (Best Model) - Loss: 2.5414 - Accuracy: 0.3619 - F1: 0.3643
sub_8:Test (Best Model) - Loss: 2.7813 - Accuracy: 0.3143 - F1: 0.3307
sub_8:Test (Best Model) - Loss: 2.9492 - Accuracy: 0.3810 - F1: 0.3743
sub_8:Test (Best Model) - Loss: 2.8300 - Accuracy: 0.3524 - F1: 0.3425
sub_8:Test (Best Model) - Loss: 2.7438 - Accuracy: 0.3571 - F1: 0.3389
sub_8:Test (Best Model) - Loss: 2.9162 - Accuracy: 0.3476 - F1: 0.3281
sub_8:Test (Best Model) - Loss: 3.2035 - Accuracy: 0.3000 - F1: 0.3162
sub_9:Test (Best Model) - Loss: 3.1711 - Accuracy: 0.2429 - F1: 0.2139
sub_9:Test (Best Model) - Loss: 2.9261 - Accuracy: 0.2333 - F1: 0.2183
sub_9:Test (Best Model) - Loss: 2.8400 - Accuracy: 0.3286 - F1: 0.2917
sub_9:Test (Best Model) - Loss: 3.7318 - Accuracy: 0.2571 - F1: 0.2321
sub_9:Test (Best Model) - Loss: 3.1349 - Accuracy: 0.3286 - F1: 0.2939
sub_9:Test (Best Model) - Loss: 2.5432 - Accuracy: 0.3143 - F1: 0.3035
sub_9:Test (Best Model) - Loss: 2.8112 - Accuracy: 0.2810 - F1: 0.2694
sub_9:Test (Best Model) - Loss: 2.9535 - Accuracy: 0.2571 - F1: 0.2541
sub_9:Test (Best Model) - Loss: 2.6333 - Accuracy: 0.3095 - F1: 0.2955
sub_9:Test (Best Model) - Loss: 2.6884 - Accuracy: 0.3238 - F1: 0.3022
sub_9:Test (Best Model) - Loss: 2.6709 - Accuracy: 0.2714 - F1: 0.2693
sub_9:Test (Best Model) - Loss: 2.7652 - Accuracy: 0.3381 - F1: 0.3439
sub_9:Test (Best Model) - Loss: 2.9582 - Accuracy: 0.3048 - F1: 0.3075
sub_9:Test (Best Model) - Loss: 2.7461 - Accuracy: 0.3333 - F1: 0.3341
sub_9:Test (Best Model) - Loss: 2.5712 - Accuracy: 0.2952 - F1: 0.2978
sub_10:Test (Best Model) - Loss: 2.5060 - Accuracy: 0.3333 - F1: 0.3254
sub_10:Test (Best Model) - Loss: 2.4329 - Accuracy: 0.3429 - F1: 0.3306
sub_10:Test (Best Model) - Loss: 2.7239 - Accuracy: 0.3095 - F1: 0.3038
sub_10:Test (Best Model) - Loss: 2.6051 - Accuracy: 0.3381 - F1: 0.3207
sub_10:Test (Best Model) - Loss: 2.6733 - Accuracy: 0.3524 - F1: 0.3407
sub_10:Test (Best Model) - Loss: 2.8271 - Accuracy: 0.2429 - F1: 0.2316
sub_10:Test (Best Model) - Loss: 2.6599 - Accuracy: 0.2524 - F1: 0.2452
sub_10:Test (Best Model) - Loss: 2.5363 - Accuracy: 0.2810 - F1: 0.2688
sub_10:Test (Best Model) - Loss: 2.4026 - Accuracy: 0.3048 - F1: 0.2957
sub_10:Test (Best Model) - Loss: 2.6213 - Accuracy: 0.2952 - F1: 0.2855
sub_10:Test (Best Model) - Loss: 2.7312 - Accuracy: 0.2619 - F1: 0.2611
sub_10:Test (Best Model) - Loss: 2.7706 - Accuracy: 0.3190 - F1: 0.3152
sub_10:Test (Best Model) - Loss: 2.6882 - Accuracy: 0.3381 - F1: 0.3342
sub_10:Test (Best Model) - Loss: 2.4854 - Accuracy: 0.2810 - F1: 0.2808
sub_10:Test (Best Model) - Loss: 2.8569 - Accuracy: 0.2524 - F1: 0.2516
sub_11:Test (Best Model) - Loss: 3.0199 - Accuracy: 0.2381 - F1: 0.2191
sub_11:Test (Best Model) - Loss: 3.2579 - Accuracy: 0.2429 - F1: 0.2202
sub_11:Test (Best Model) - Loss: 3.1144 - Accuracy: 0.2476 - F1: 0.2187
sub_11:Test (Best Model) - Loss: 3.2259 - Accuracy: 0.2571 - F1: 0.2366
sub_11:Test (Best Model) - Loss: 3.0355 - Accuracy: 0.2762 - F1: 0.2391
sub_11:Test (Best Model) - Loss: 2.4755 - Accuracy: 0.3048 - F1: 0.3099
sub_11:Test (Best Model) - Loss: 2.4731 - Accuracy: 0.2905 - F1: 0.2960
sub_11:Test (Best Model) - Loss: 2.1921 - Accuracy: 0.3143 - F1: 0.3224
sub_11:Test (Best Model) - Loss: 2.4534 - Accuracy: 0.3190 - F1: 0.3215
sub_11:Test (Best Model) - Loss: 2.5986 - Accuracy: 0.3095 - F1: 0.3113
sub_11:Test (Best Model) - Loss: 2.8152 - Accuracy: 0.3000 - F1: 0.2963
sub_11:Test (Best Model) - Loss: 2.6298 - Accuracy: 0.2905 - F1: 0.2868
sub_11:Test (Best Model) - Loss: 2.7522 - Accuracy: 0.2905 - F1: 0.2916
sub_11:Test (Best Model) - Loss: 2.7271 - Accuracy: 0.3190 - F1: 0.3264
sub_11:Test (Best Model) - Loss: 2.6030 - Accuracy: 0.3048 - F1: 0.3139
sub_12:Test (Best Model) - Loss: 2.0474 - Accuracy: 0.3667 - F1: 0.3771
sub_12:Test (Best Model) - Loss: 2.1139 - Accuracy: 0.3381 - F1: 0.3430
sub_12:Test (Best Model) - Loss: 2.2279 - Accuracy: 0.3667 - F1: 0.3633
sub_12:Test (Best Model) - Loss: 2.0070 - Accuracy: 0.4238 - F1: 0.4203
sub_12:Test (Best Model) - Loss: 2.1713 - Accuracy: 0.3381 - F1: 0.3449
sub_12:Test (Best Model) - Loss: 3.9132 - Accuracy: 0.3000 - F1: 0.2338
sub_12:Test (Best Model) - Loss: 3.8119 - Accuracy: 0.3000 - F1: 0.2436
sub_12:Test (Best Model) - Loss: 3.7593 - Accuracy: 0.3238 - F1: 0.2665
sub_12:Test (Best Model) - Loss: 3.9079 - Accuracy: 0.3048 - F1: 0.2425
sub_12:Test (Best Model) - Loss: 3.9020 - Accuracy: 0.3000 - F1: 0.2373
sub_12:Test (Best Model) - Loss: 3.3818 - Accuracy: 0.3095 - F1: 0.3211
sub_12:Test (Best Model) - Loss: 3.4935 - Accuracy: 0.2857 - F1: 0.3037
sub_12:Test (Best Model) - Loss: 3.1541 - Accuracy: 0.2857 - F1: 0.3019
sub_12:Test (Best Model) - Loss: 3.2221 - Accuracy: 0.3000 - F1: 0.3162
sub_12:Test (Best Model) - Loss: 3.2392 - Accuracy: 0.2286 - F1: 0.2463
sub_13:Test (Best Model) - Loss: 2.2483 - Accuracy: 0.3000 - F1: 0.2895
sub_13:Test (Best Model) - Loss: 2.2823 - Accuracy: 0.2714 - F1: 0.2607
sub_13:Test (Best Model) - Loss: 2.3616 - Accuracy: 0.2571 - F1: 0.2430
sub_13:Test (Best Model) - Loss: 2.2801 - Accuracy: 0.3000 - F1: 0.2915
sub_13:Test (Best Model) - Loss: 2.2256 - Accuracy: 0.2714 - F1: 0.2570
sub_13:Test (Best Model) - Loss: 2.5644 - Accuracy: 0.2810 - F1: 0.2751
sub_13:Test (Best Model) - Loss: 2.7236 - Accuracy: 0.2714 - F1: 0.2583
sub_13:Test (Best Model) - Loss: 2.6937 - Accuracy: 0.2476 - F1: 0.2431
sub_13:Test (Best Model) - Loss: 2.1865 - Accuracy: 0.2857 - F1: 0.2872
sub_13:Test (Best Model) - Loss: 2.4731 - Accuracy: 0.2714 - F1: 0.2634
sub_13:Test (Best Model) - Loss: 2.4343 - Accuracy: 0.2857 - F1: 0.2750
sub_13:Test (Best Model) - Loss: 2.3282 - Accuracy: 0.2714 - F1: 0.2420
sub_13:Test (Best Model) - Loss: 2.3069 - Accuracy: 0.3095 - F1: 0.2754
sub_13:Test (Best Model) - Loss: 2.2493 - Accuracy: 0.2905 - F1: 0.2590
sub_13:Test (Best Model) - Loss: 2.6293 - Accuracy: 0.2667 - F1: 0.2376
sub_14:Test (Best Model) - Loss: 2.8986 - Accuracy: 0.3714 - F1: 0.3922
sub_14:Test (Best Model) - Loss: 2.9377 - Accuracy: 0.3381 - F1: 0.3634
sub_14:Test (Best Model) - Loss: 2.9104 - Accuracy: 0.3667 - F1: 0.3799
sub_14:Test (Best Model) - Loss: 3.0385 - Accuracy: 0.3667 - F1: 0.3782
sub_14:Test (Best Model) - Loss: 3.5402 - Accuracy: 0.2429 - F1: 0.2508
sub_14:Test (Best Model) - Loss: 2.5152 - Accuracy: 0.3905 - F1: 0.3616
sub_14:Test (Best Model) - Loss: 2.7398 - Accuracy: 0.3810 - F1: 0.3468
sub_14:Test (Best Model) - Loss: 2.7356 - Accuracy: 0.3857 - F1: 0.3663
sub_14:Test (Best Model) - Loss: 2.7180 - Accuracy: 0.4000 - F1: 0.3841
sub_14:Test (Best Model) - Loss: 2.5569 - Accuracy: 0.4048 - F1: 0.3979
sub_14:Test (Best Model) - Loss: 2.7937 - Accuracy: 0.3762 - F1: 0.3340
sub_14:Test (Best Model) - Loss: 2.6794 - Accuracy: 0.3381 - F1: 0.2907
sub_14:Test (Best Model) - Loss: 2.6805 - Accuracy: 0.3619 - F1: 0.3350
sub_14:Test (Best Model) - Loss: 2.8224 - Accuracy: 0.3667 - F1: 0.3149
sub_14:Test (Best Model) - Loss: 3.0143 - Accuracy: 0.3571 - F1: 0.3133

=== Summary Results ===

acc: 30.66 ± 3.51
F1: 29.25 ± 3.46
acc-in: 36.25 ± 4.28
F1-in: 34.78 ± 4.38
