lr: 1e-05
sub_1:Test (Best Model) - Loss: 1.6375 - Accuracy: 0.2905 - F1: 0.2370
sub_1:Test (Best Model) - Loss: 1.6523 - Accuracy: 0.3190 - F1: 0.2574
sub_1:Test (Best Model) - Loss: 1.5992 - Accuracy: 0.3000 - F1: 0.2694
sub_1:Test (Best Model) - Loss: 1.5975 - Accuracy: 0.2810 - F1: 0.2421
sub_1:Test (Best Model) - Loss: 1.6130 - Accuracy: 0.2667 - F1: 0.2252
sub_1:Test (Best Model) - Loss: 1.4916 - Accuracy: 0.3333 - F1: 0.3449
sub_1:Test (Best Model) - Loss: 1.4823 - Accuracy: 0.3524 - F1: 0.3573
sub_1:Test (Best Model) - Loss: 1.4341 - Accuracy: 0.3714 - F1: 0.3772
sub_1:Test (Best Model) - Loss: 1.4529 - Accuracy: 0.3524 - F1: 0.3608
sub_1:Test (Best Model) - Loss: 1.4536 - Accuracy: 0.3810 - F1: 0.3809
sub_1:Test (Best Model) - Loss: 1.5240 - Accuracy: 0.3143 - F1: 0.3222
sub_1:Test (Best Model) - Loss: 1.4904 - Accuracy: 0.2857 - F1: 0.2753
sub_1:Test (Best Model) - Loss: 1.5120 - Accuracy: 0.3286 - F1: 0.3163
sub_1:Test (Best Model) - Loss: 1.5158 - Accuracy: 0.3095 - F1: 0.3095
sub_1:Test (Best Model) - Loss: 1.5082 - Accuracy: 0.2714 - F1: 0.2771
sub_2:Test (Best Model) - Loss: 1.5065 - Accuracy: 0.3143 - F1: 0.2886
sub_2:Test (Best Model) - Loss: 1.5433 - Accuracy: 0.3095 - F1: 0.2796
sub_2:Test (Best Model) - Loss: 1.5282 - Accuracy: 0.2762 - F1: 0.2368
sub_2:Test (Best Model) - Loss: 1.5440 - Accuracy: 0.3714 - F1: 0.3248
sub_2:Test (Best Model) - Loss: 1.5297 - Accuracy: 0.3429 - F1: 0.2924
sub_2:Test (Best Model) - Loss: 1.5484 - Accuracy: 0.3095 - F1: 0.3221
sub_2:Test (Best Model) - Loss: 1.5438 - Accuracy: 0.2476 - F1: 0.2555
sub_2:Test (Best Model) - Loss: 1.5389 - Accuracy: 0.3381 - F1: 0.3477
sub_2:Test (Best Model) - Loss: 1.5055 - Accuracy: 0.2905 - F1: 0.3025
sub_2:Test (Best Model) - Loss: 1.5788 - Accuracy: 0.2667 - F1: 0.2733
sub_2:Test (Best Model) - Loss: 1.5392 - Accuracy: 0.2381 - F1: 0.2356
sub_2:Test (Best Model) - Loss: 1.5056 - Accuracy: 0.3190 - F1: 0.3271
sub_2:Test (Best Model) - Loss: 1.5171 - Accuracy: 0.2714 - F1: 0.2769
sub_2:Test (Best Model) - Loss: 1.5290 - Accuracy: 0.2857 - F1: 0.2876
sub_2:Test (Best Model) - Loss: 1.5412 - Accuracy: 0.2762 - F1: 0.2899
sub_3:Test (Best Model) - Loss: 1.5906 - Accuracy: 0.2476 - F1: 0.1713
sub_3:Test (Best Model) - Loss: 1.5983 - Accuracy: 0.2381 - F1: 0.1592
sub_3:Test (Best Model) - Loss: 1.5828 - Accuracy: 0.2857 - F1: 0.2197
sub_3:Test (Best Model) - Loss: 1.5825 - Accuracy: 0.2619 - F1: 0.1963
sub_3:Test (Best Model) - Loss: 1.6475 - Accuracy: 0.2429 - F1: 0.1426
sub_3:Test (Best Model) - Loss: 1.5324 - Accuracy: 0.2857 - F1: 0.2928
sub_3:Test (Best Model) - Loss: 1.5290 - Accuracy: 0.2857 - F1: 0.2847
sub_3:Test (Best Model) - Loss: 1.5133 - Accuracy: 0.3286 - F1: 0.3203
sub_3:Test (Best Model) - Loss: 1.5468 - Accuracy: 0.2952 - F1: 0.2882
sub_3:Test (Best Model) - Loss: 1.5490 - Accuracy: 0.3048 - F1: 0.3013
sub_3:Test (Best Model) - Loss: 1.5477 - Accuracy: 0.3143 - F1: 0.3168
sub_3:Test (Best Model) - Loss: 1.5983 - Accuracy: 0.2619 - F1: 0.2678
sub_3:Test (Best Model) - Loss: 1.6136 - Accuracy: 0.2952 - F1: 0.2919
sub_3:Test (Best Model) - Loss: 1.5753 - Accuracy: 0.3048 - F1: 0.3156
sub_3:Test (Best Model) - Loss: 1.7022 - Accuracy: 0.2905 - F1: 0.2894
sub_4:Test (Best Model) - Loss: 1.5863 - Accuracy: 0.2857 - F1: 0.2648
sub_4:Test (Best Model) - Loss: 1.6186 - Accuracy: 0.2143 - F1: 0.1986
sub_4:Test (Best Model) - Loss: 1.6350 - Accuracy: 0.2381 - F1: 0.2254
sub_4:Test (Best Model) - Loss: 1.5799 - Accuracy: 0.2667 - F1: 0.2584
sub_4:Test (Best Model) - Loss: 1.5995 - Accuracy: 0.2476 - F1: 0.2389
sub_4:Test (Best Model) - Loss: 1.5613 - Accuracy: 0.2762 - F1: 0.2725
sub_4:Test (Best Model) - Loss: 1.6160 - Accuracy: 0.3286 - F1: 0.3280
sub_4:Test (Best Model) - Loss: 1.5864 - Accuracy: 0.2762 - F1: 0.2782
sub_4:Test (Best Model) - Loss: 1.6284 - Accuracy: 0.2714 - F1: 0.2740
sub_4:Test (Best Model) - Loss: 1.5884 - Accuracy: 0.2952 - F1: 0.2847
sub_4:Test (Best Model) - Loss: 1.5406 - Accuracy: 0.3667 - F1: 0.3540
sub_4:Test (Best Model) - Loss: 1.5466 - Accuracy: 0.3190 - F1: 0.3110
sub_4:Test (Best Model) - Loss: 1.5552 - Accuracy: 0.3190 - F1: 0.2944
sub_4:Test (Best Model) - Loss: 1.5688 - Accuracy: 0.3095 - F1: 0.3035
sub_4:Test (Best Model) - Loss: 1.5453 - Accuracy: 0.3190 - F1: 0.3159
sub_5:Test (Best Model) - Loss: 1.5394 - Accuracy: 0.3476 - F1: 0.3275
sub_5:Test (Best Model) - Loss: 1.6168 - Accuracy: 0.3476 - F1: 0.3171
sub_5:Test (Best Model) - Loss: 1.4590 - Accuracy: 0.4095 - F1: 0.3719
sub_5:Test (Best Model) - Loss: 1.5015 - Accuracy: 0.3762 - F1: 0.3517
sub_5:Test (Best Model) - Loss: 1.5152 - Accuracy: 0.3333 - F1: 0.3176
sub_5:Test (Best Model) - Loss: 1.5095 - Accuracy: 0.3286 - F1: 0.3323
sub_5:Test (Best Model) - Loss: 1.5790 - Accuracy: 0.3238 - F1: 0.3282
sub_5:Test (Best Model) - Loss: 1.5261 - Accuracy: 0.3810 - F1: 0.3879
sub_5:Test (Best Model) - Loss: 1.5280 - Accuracy: 0.3333 - F1: 0.3234
sub_5:Test (Best Model) - Loss: 1.5277 - Accuracy: 0.3429 - F1: 0.3517
sub_5:Test (Best Model) - Loss: 1.5115 - Accuracy: 0.2952 - F1: 0.3092
sub_5:Test (Best Model) - Loss: 1.4953 - Accuracy: 0.3619 - F1: 0.3756
sub_5:Test (Best Model) - Loss: 1.5565 - Accuracy: 0.3048 - F1: 0.3222
sub_5:Test (Best Model) - Loss: 1.5348 - Accuracy: 0.2810 - F1: 0.2897
sub_5:Test (Best Model) - Loss: 1.5420 - Accuracy: 0.2762 - F1: 0.2911
sub_6:Test (Best Model) - Loss: 1.7014 - Accuracy: 0.2381 - F1: 0.2367
sub_6:Test (Best Model) - Loss: 1.6363 - Accuracy: 0.2476 - F1: 0.2477
sub_6:Test (Best Model) - Loss: 1.7059 - Accuracy: 0.2333 - F1: 0.2358
sub_6:Test (Best Model) - Loss: 1.6542 - Accuracy: 0.2476 - F1: 0.2411
sub_6:Test (Best Model) - Loss: 1.5991 - Accuracy: 0.2667 - F1: 0.2586
sub_6:Test (Best Model) - Loss: 1.6828 - Accuracy: 0.2762 - F1: 0.2760
sub_6:Test (Best Model) - Loss: 1.6629 - Accuracy: 0.2286 - F1: 0.2282
sub_6:Test (Best Model) - Loss: 1.6294 - Accuracy: 0.2381 - F1: 0.2321
sub_6:Test (Best Model) - Loss: 1.6345 - Accuracy: 0.2571 - F1: 0.2505
sub_6:Test (Best Model) - Loss: 1.6074 - Accuracy: 0.2810 - F1: 0.2756
sub_6:Test (Best Model) - Loss: 1.6369 - Accuracy: 0.2524 - F1: 0.2474
sub_6:Test (Best Model) - Loss: 1.6432 - Accuracy: 0.2143 - F1: 0.2159
sub_6:Test (Best Model) - Loss: 1.5974 - Accuracy: 0.3286 - F1: 0.3232
sub_6:Test (Best Model) - Loss: 1.6545 - Accuracy: 0.2429 - F1: 0.2334
sub_6:Test (Best Model) - Loss: 1.6384 - Accuracy: 0.2333 - F1: 0.2310
sub_7:Test (Best Model) - Loss: 1.6682 - Accuracy: 0.2571 - F1: 0.2559
sub_7:Test (Best Model) - Loss: 1.6609 - Accuracy: 0.2381 - F1: 0.2325
sub_7:Test (Best Model) - Loss: 1.6600 - Accuracy: 0.2429 - F1: 0.2372
sub_7:Test (Best Model) - Loss: 1.6638 - Accuracy: 0.2238 - F1: 0.2210
sub_7:Test (Best Model) - Loss: 1.6451 - Accuracy: 0.2095 - F1: 0.2033
sub_7:Test (Best Model) - Loss: 1.6499 - Accuracy: 0.1857 - F1: 0.1718
sub_7:Test (Best Model) - Loss: 1.6579 - Accuracy: 0.2095 - F1: 0.2095
sub_7:Test (Best Model) - Loss: 1.6351 - Accuracy: 0.1905 - F1: 0.1951
sub_7:Test (Best Model) - Loss: 1.6440 - Accuracy: 0.1810 - F1: 0.1814
sub_7:Test (Best Model) - Loss: 1.6581 - Accuracy: 0.2000 - F1: 0.2022
sub_7:Test (Best Model) - Loss: 1.6204 - Accuracy: 0.2000 - F1: 0.1983
sub_7:Test (Best Model) - Loss: 1.6526 - Accuracy: 0.2429 - F1: 0.2368
sub_7:Test (Best Model) - Loss: 1.6328 - Accuracy: 0.2619 - F1: 0.2618
sub_7:Test (Best Model) - Loss: 1.6313 - Accuracy: 0.2381 - F1: 0.2375
sub_7:Test (Best Model) - Loss: 1.6164 - Accuracy: 0.2381 - F1: 0.2351
sub_8:Test (Best Model) - Loss: 1.4499 - Accuracy: 0.4000 - F1: 0.3852
sub_8:Test (Best Model) - Loss: 1.4674 - Accuracy: 0.3905 - F1: 0.3728
sub_8:Test (Best Model) - Loss: 1.4495 - Accuracy: 0.3810 - F1: 0.3621
sub_8:Test (Best Model) - Loss: 1.4870 - Accuracy: 0.3762 - F1: 0.3620
sub_8:Test (Best Model) - Loss: 1.4577 - Accuracy: 0.3762 - F1: 0.3574
sub_8:Test (Best Model) - Loss: 1.4585 - Accuracy: 0.3667 - F1: 0.3823
sub_8:Test (Best Model) - Loss: 1.4927 - Accuracy: 0.3381 - F1: 0.3498
sub_8:Test (Best Model) - Loss: 1.4537 - Accuracy: 0.3571 - F1: 0.3641
sub_8:Test (Best Model) - Loss: 1.4225 - Accuracy: 0.3286 - F1: 0.3373
sub_8:Test (Best Model) - Loss: 1.4371 - Accuracy: 0.3524 - F1: 0.3682
sub_8:Test (Best Model) - Loss: 1.5619 - Accuracy: 0.3238 - F1: 0.3402
sub_8:Test (Best Model) - Loss: 1.5846 - Accuracy: 0.2857 - F1: 0.3055
sub_8:Test (Best Model) - Loss: 1.4960 - Accuracy: 0.3714 - F1: 0.3703
sub_8:Test (Best Model) - Loss: 1.5465 - Accuracy: 0.3381 - F1: 0.3515
sub_8:Test (Best Model) - Loss: 1.6119 - Accuracy: 0.3000 - F1: 0.3212
sub_9:Test (Best Model) - Loss: 1.5055 - Accuracy: 0.3667 - F1: 0.3443
sub_9:Test (Best Model) - Loss: 1.5352 - Accuracy: 0.3571 - F1: 0.3290
sub_9:Test (Best Model) - Loss: 1.5004 - Accuracy: 0.4000 - F1: 0.3797
sub_9:Test (Best Model) - Loss: 1.5390 - Accuracy: 0.3286 - F1: 0.2822
sub_9:Test (Best Model) - Loss: 1.5390 - Accuracy: 0.3048 - F1: 0.2826
sub_9:Test (Best Model) - Loss: 1.5015 - Accuracy: 0.3381 - F1: 0.3245
sub_9:Test (Best Model) - Loss: 1.5634 - Accuracy: 0.3143 - F1: 0.3071
sub_9:Test (Best Model) - Loss: 1.5697 - Accuracy: 0.2476 - F1: 0.2464
sub_9:Test (Best Model) - Loss: 1.5402 - Accuracy: 0.3476 - F1: 0.3312
sub_9:Test (Best Model) - Loss: 1.5375 - Accuracy: 0.3286 - F1: 0.3099
sub_9:Test (Best Model) - Loss: 1.7515 - Accuracy: 0.2095 - F1: 0.2217
sub_9:Test (Best Model) - Loss: 1.6421 - Accuracy: 0.2810 - F1: 0.2894
sub_9:Test (Best Model) - Loss: 1.6372 - Accuracy: 0.2619 - F1: 0.2765
sub_9:Test (Best Model) - Loss: 1.5952 - Accuracy: 0.2571 - F1: 0.2652
sub_9:Test (Best Model) - Loss: 1.5928 - Accuracy: 0.2524 - F1: 0.2572
sub_10:Test (Best Model) - Loss: 1.6726 - Accuracy: 0.2381 - F1: 0.2376
sub_10:Test (Best Model) - Loss: 1.6534 - Accuracy: 0.2429 - F1: 0.2352
sub_10:Test (Best Model) - Loss: 1.6734 - Accuracy: 0.2476 - F1: 0.2413
sub_10:Test (Best Model) - Loss: 1.6200 - Accuracy: 0.2667 - F1: 0.2569
sub_10:Test (Best Model) - Loss: 1.6167 - Accuracy: 0.2762 - F1: 0.2788
sub_10:Test (Best Model) - Loss: 1.6126 - Accuracy: 0.2524 - F1: 0.2527
sub_10:Test (Best Model) - Loss: 1.6103 - Accuracy: 0.2952 - F1: 0.2968
sub_10:Test (Best Model) - Loss: 1.6111 - Accuracy: 0.2857 - F1: 0.2816
sub_10:Test (Best Model) - Loss: 1.5749 - Accuracy: 0.2905 - F1: 0.2888
sub_10:Test (Best Model) - Loss: 1.6059 - Accuracy: 0.2571 - F1: 0.2504
sub_10:Test (Best Model) - Loss: 1.6500 - Accuracy: 0.2190 - F1: 0.2175
sub_10:Test (Best Model) - Loss: 1.6436 - Accuracy: 0.2476 - F1: 0.2452
sub_10:Test (Best Model) - Loss: 1.6275 - Accuracy: 0.3286 - F1: 0.3183
sub_10:Test (Best Model) - Loss: 1.6498 - Accuracy: 0.2333 - F1: 0.2270
sub_10:Test (Best Model) - Loss: 1.6613 - Accuracy: 0.2333 - F1: 0.2337
sub_11:Test (Best Model) - Loss: 1.6429 - Accuracy: 0.2381 - F1: 0.2334
sub_11:Test (Best Model) - Loss: 1.6896 - Accuracy: 0.2048 - F1: 0.2039
sub_11:Test (Best Model) - Loss: 1.7978 - Accuracy: 0.2619 - F1: 0.2513
sub_11:Test (Best Model) - Loss: 1.6568 - Accuracy: 0.1857 - F1: 0.1780
sub_11:Test (Best Model) - Loss: 1.6384 - Accuracy: 0.2619 - F1: 0.2500
sub_11:Test (Best Model) - Loss: 1.5787 - Accuracy: 0.2429 - F1: 0.2420
sub_11:Test (Best Model) - Loss: 1.5843 - Accuracy: 0.2667 - F1: 0.2678
sub_11:Test (Best Model) - Loss: 1.5446 - Accuracy: 0.3143 - F1: 0.3163
sub_11:Test (Best Model) - Loss: 1.5740 - Accuracy: 0.3095 - F1: 0.3173
sub_11:Test (Best Model) - Loss: 1.5847 - Accuracy: 0.3286 - F1: 0.3357
sub_11:Test (Best Model) - Loss: 1.5986 - Accuracy: 0.2524 - F1: 0.2524
sub_11:Test (Best Model) - Loss: 1.5700 - Accuracy: 0.2952 - F1: 0.2921
sub_11:Test (Best Model) - Loss: 1.6077 - Accuracy: 0.2857 - F1: 0.2905
sub_11:Test (Best Model) - Loss: 1.5942 - Accuracy: 0.2667 - F1: 0.2660
sub_11:Test (Best Model) - Loss: 1.5604 - Accuracy: 0.3143 - F1: 0.3210
sub_12:Test (Best Model) - Loss: 1.5204 - Accuracy: 0.2762 - F1: 0.2832
sub_12:Test (Best Model) - Loss: 1.5355 - Accuracy: 0.3000 - F1: 0.3066
sub_12:Test (Best Model) - Loss: 1.4911 - Accuracy: 0.3429 - F1: 0.3381
sub_12:Test (Best Model) - Loss: 1.4913 - Accuracy: 0.3714 - F1: 0.3723
sub_12:Test (Best Model) - Loss: 1.5334 - Accuracy: 0.2714 - F1: 0.2834
sub_12:Test (Best Model) - Loss: 1.5344 - Accuracy: 0.3095 - F1: 0.2713
sub_12:Test (Best Model) - Loss: 1.5465 - Accuracy: 0.3048 - F1: 0.2596
sub_12:Test (Best Model) - Loss: 1.5863 - Accuracy: 0.3048 - F1: 0.2572
sub_12:Test (Best Model) - Loss: 1.5527 - Accuracy: 0.3095 - F1: 0.2600
sub_12:Test (Best Model) - Loss: 1.5375 - Accuracy: 0.3238 - F1: 0.2788
sub_12:Test (Best Model) - Loss: 1.6622 - Accuracy: 0.2524 - F1: 0.2604
sub_12:Test (Best Model) - Loss: 1.6766 - Accuracy: 0.1952 - F1: 0.2140
sub_12:Test (Best Model) - Loss: 1.6504 - Accuracy: 0.2381 - F1: 0.2576
sub_12:Test (Best Model) - Loss: 1.7145 - Accuracy: 0.2286 - F1: 0.2466
sub_12:Test (Best Model) - Loss: 1.7076 - Accuracy: 0.2286 - F1: 0.2467
sub_13:Test (Best Model) - Loss: 1.5631 - Accuracy: 0.2524 - F1: 0.2442
sub_13:Test (Best Model) - Loss: 1.5857 - Accuracy: 0.2476 - F1: 0.2346
sub_13:Test (Best Model) - Loss: 1.5647 - Accuracy: 0.2762 - F1: 0.2673
sub_13:Test (Best Model) - Loss: 1.5771 - Accuracy: 0.2476 - F1: 0.2346
sub_13:Test (Best Model) - Loss: 1.5707 - Accuracy: 0.2714 - F1: 0.2573
sub_13:Test (Best Model) - Loss: 1.6029 - Accuracy: 0.2810 - F1: 0.2767
sub_13:Test (Best Model) - Loss: 1.6193 - Accuracy: 0.2905 - F1: 0.2806
sub_13:Test (Best Model) - Loss: 1.6607 - Accuracy: 0.2857 - F1: 0.2732
sub_13:Test (Best Model) - Loss: 1.5330 - Accuracy: 0.2857 - F1: 0.2797
sub_13:Test (Best Model) - Loss: 1.5594 - Accuracy: 0.2810 - F1: 0.2617
sub_13:Test (Best Model) - Loss: 1.5741 - Accuracy: 0.3000 - F1: 0.2931
sub_13:Test (Best Model) - Loss: 1.5519 - Accuracy: 0.3048 - F1: 0.2955
sub_13:Test (Best Model) - Loss: 1.5725 - Accuracy: 0.2810 - F1: 0.2664
sub_13:Test (Best Model) - Loss: 1.5457 - Accuracy: 0.3238 - F1: 0.3086
sub_13:Test (Best Model) - Loss: 1.5806 - Accuracy: 0.2571 - F1: 0.2482
sub_14:Test (Best Model) - Loss: 1.6293 - Accuracy: 0.2952 - F1: 0.3096
sub_14:Test (Best Model) - Loss: 1.5975 - Accuracy: 0.2857 - F1: 0.2979
sub_14:Test (Best Model) - Loss: 1.5860 - Accuracy: 0.3095 - F1: 0.3122
sub_14:Test (Best Model) - Loss: 1.5860 - Accuracy: 0.3143 - F1: 0.3271
sub_14:Test (Best Model) - Loss: 1.6427 - Accuracy: 0.2667 - F1: 0.2727
sub_14:Test (Best Model) - Loss: 1.4358 - Accuracy: 0.4000 - F1: 0.3738
sub_14:Test (Best Model) - Loss: 1.5543 - Accuracy: 0.3381 - F1: 0.3064
sub_14:Test (Best Model) - Loss: 1.4899 - Accuracy: 0.3429 - F1: 0.3114
sub_14:Test (Best Model) - Loss: 1.4897 - Accuracy: 0.3905 - F1: 0.3719
sub_14:Test (Best Model) - Loss: 1.5665 - Accuracy: 0.2905 - F1: 0.2715
sub_14:Test (Best Model) - Loss: 1.5571 - Accuracy: 0.3238 - F1: 0.2986
sub_14:Test (Best Model) - Loss: 1.5633 - Accuracy: 0.3095 - F1: 0.2796
sub_14:Test (Best Model) - Loss: 1.5822 - Accuracy: 0.2952 - F1: 0.2722
sub_14:Test (Best Model) - Loss: 1.5885 - Accuracy: 0.3143 - F1: 0.2906
sub_14:Test (Best Model) - Loss: 1.5834 - Accuracy: 0.3190 - F1: 0.2922

=== Summary Results ===

acc: 29.05 ± 3.34
F1: 28.27 ± 3.39
acc-in: 34.03 ± 3.70
F1-in: 33.29 ± 3.96
