lr: 1e-05
sub_1:Test (Best Model) - Loss: 1.7787 - Accuracy: 0.3048 - F1: 0.2534
sub_1:Test (Best Model) - Loss: 1.7022 - Accuracy: 0.3143 - F1: 0.2493
sub_1:Test (Best Model) - Loss: 1.6812 - Accuracy: 0.3000 - F1: 0.2566
sub_1:Test (Best Model) - Loss: 1.6522 - Accuracy: 0.2857 - F1: 0.2309
sub_1:Test (Best Model) - Loss: 1.7004 - Accuracy: 0.2905 - F1: 0.2547
sub_1:Test (Best Model) - Loss: 1.4806 - Accuracy: 0.3238 - F1: 0.3280
sub_1:Test (Best Model) - Loss: 1.4384 - Accuracy: 0.3476 - F1: 0.3556
sub_1:Test (Best Model) - Loss: 1.4405 - Accuracy: 0.3762 - F1: 0.3825
sub_1:Test (Best Model) - Loss: 1.4409 - Accuracy: 0.3476 - F1: 0.3600
sub_1:Test (Best Model) - Loss: 1.4817 - Accuracy: 0.3619 - F1: 0.3651
sub_1:Test (Best Model) - Loss: 1.6070 - Accuracy: 0.3333 - F1: 0.3347
sub_1:Test (Best Model) - Loss: 1.4839 - Accuracy: 0.3238 - F1: 0.3123
sub_1:Test (Best Model) - Loss: 1.5039 - Accuracy: 0.3048 - F1: 0.2968
sub_1:Test (Best Model) - Loss: 1.4984 - Accuracy: 0.3143 - F1: 0.3057
sub_1:Test (Best Model) - Loss: 1.5371 - Accuracy: 0.3048 - F1: 0.3121
sub_2:Test (Best Model) - Loss: 1.5082 - Accuracy: 0.3524 - F1: 0.2831
sub_2:Test (Best Model) - Loss: 1.5217 - Accuracy: 0.3905 - F1: 0.3281
sub_2:Test (Best Model) - Loss: 1.5231 - Accuracy: 0.3429 - F1: 0.2789
sub_2:Test (Best Model) - Loss: 1.5400 - Accuracy: 0.3905 - F1: 0.3115
sub_2:Test (Best Model) - Loss: 1.5263 - Accuracy: 0.3333 - F1: 0.2747
sub_2:Test (Best Model) - Loss: 1.5409 - Accuracy: 0.3238 - F1: 0.3364
sub_2:Test (Best Model) - Loss: 1.5285 - Accuracy: 0.2762 - F1: 0.2869
sub_2:Test (Best Model) - Loss: 1.5102 - Accuracy: 0.3524 - F1: 0.3654
sub_2:Test (Best Model) - Loss: 1.5014 - Accuracy: 0.3381 - F1: 0.3457
sub_2:Test (Best Model) - Loss: 1.5116 - Accuracy: 0.3095 - F1: 0.3183
sub_2:Test (Best Model) - Loss: 1.5069 - Accuracy: 0.3000 - F1: 0.2934
sub_2:Test (Best Model) - Loss: 1.4984 - Accuracy: 0.3476 - F1: 0.3586
sub_2:Test (Best Model) - Loss: 1.4814 - Accuracy: 0.3048 - F1: 0.3122
sub_2:Test (Best Model) - Loss: 1.5279 - Accuracy: 0.3048 - F1: 0.3077
sub_2:Test (Best Model) - Loss: 1.5360 - Accuracy: 0.2571 - F1: 0.2672
sub_3:Test (Best Model) - Loss: 1.6008 - Accuracy: 0.2667 - F1: 0.1972
sub_3:Test (Best Model) - Loss: 1.5985 - Accuracy: 0.2429 - F1: 0.1574
sub_3:Test (Best Model) - Loss: 1.5561 - Accuracy: 0.2857 - F1: 0.2276
sub_3:Test (Best Model) - Loss: 1.6588 - Accuracy: 0.2619 - F1: 0.1922
sub_3:Test (Best Model) - Loss: 1.7798 - Accuracy: 0.2476 - F1: 0.1549
sub_3:Test (Best Model) - Loss: 1.5279 - Accuracy: 0.3000 - F1: 0.2975
sub_3:Test (Best Model) - Loss: 1.5273 - Accuracy: 0.2857 - F1: 0.2777
sub_3:Test (Best Model) - Loss: 1.4959 - Accuracy: 0.3238 - F1: 0.3195
sub_3:Test (Best Model) - Loss: 1.5542 - Accuracy: 0.2905 - F1: 0.2706
sub_3:Test (Best Model) - Loss: 1.5098 - Accuracy: 0.3333 - F1: 0.3197
sub_3:Test (Best Model) - Loss: 1.5838 - Accuracy: 0.2952 - F1: 0.3042
sub_3:Test (Best Model) - Loss: 1.6163 - Accuracy: 0.2714 - F1: 0.2712
sub_3:Test (Best Model) - Loss: 1.6145 - Accuracy: 0.3000 - F1: 0.3049
sub_3:Test (Best Model) - Loss: 1.6043 - Accuracy: 0.3000 - F1: 0.3099
sub_3:Test (Best Model) - Loss: 1.5960 - Accuracy: 0.3143 - F1: 0.3224
sub_4:Test (Best Model) - Loss: 1.5868 - Accuracy: 0.3333 - F1: 0.3072
sub_4:Test (Best Model) - Loss: 1.5848 - Accuracy: 0.2810 - F1: 0.2574
sub_4:Test (Best Model) - Loss: 1.6016 - Accuracy: 0.2429 - F1: 0.2295
sub_4:Test (Best Model) - Loss: 1.5590 - Accuracy: 0.2857 - F1: 0.2735
sub_4:Test (Best Model) - Loss: 1.5791 - Accuracy: 0.2905 - F1: 0.2754
sub_4:Test (Best Model) - Loss: 1.5692 - Accuracy: 0.2952 - F1: 0.2915
sub_4:Test (Best Model) - Loss: 1.5578 - Accuracy: 0.2952 - F1: 0.2934
sub_4:Test (Best Model) - Loss: 1.5716 - Accuracy: 0.2952 - F1: 0.2939
sub_4:Test (Best Model) - Loss: 1.5863 - Accuracy: 0.2952 - F1: 0.2909
sub_4:Test (Best Model) - Loss: 1.5687 - Accuracy: 0.3238 - F1: 0.3203
sub_4:Test (Best Model) - Loss: 1.4852 - Accuracy: 0.3810 - F1: 0.3627
sub_4:Test (Best Model) - Loss: 1.5250 - Accuracy: 0.3429 - F1: 0.3224
sub_4:Test (Best Model) - Loss: 1.5160 - Accuracy: 0.3238 - F1: 0.2867
sub_4:Test (Best Model) - Loss: 1.5526 - Accuracy: 0.3190 - F1: 0.3019
sub_4:Test (Best Model) - Loss: 1.4827 - Accuracy: 0.3429 - F1: 0.3239
sub_5:Test (Best Model) - Loss: 1.6243 - Accuracy: 0.3714 - F1: 0.3301
sub_5:Test (Best Model) - Loss: 1.6326 - Accuracy: 0.3571 - F1: 0.3029
sub_5:Test (Best Model) - Loss: 1.5378 - Accuracy: 0.4333 - F1: 0.3893
sub_5:Test (Best Model) - Loss: 1.5406 - Accuracy: 0.3905 - F1: 0.3562
sub_5:Test (Best Model) - Loss: 1.5120 - Accuracy: 0.3714 - F1: 0.3342
sub_5:Test (Best Model) - Loss: 1.5060 - Accuracy: 0.3619 - F1: 0.3652
sub_5:Test (Best Model) - Loss: 1.5622 - Accuracy: 0.3048 - F1: 0.3056
sub_5:Test (Best Model) - Loss: 1.4811 - Accuracy: 0.3619 - F1: 0.3651
sub_5:Test (Best Model) - Loss: 1.4730 - Accuracy: 0.3762 - F1: 0.3778
sub_5:Test (Best Model) - Loss: 1.5331 - Accuracy: 0.3810 - F1: 0.3895
sub_5:Test (Best Model) - Loss: 1.4613 - Accuracy: 0.3238 - F1: 0.3371
sub_5:Test (Best Model) - Loss: 1.4762 - Accuracy: 0.3476 - F1: 0.3663
sub_5:Test (Best Model) - Loss: 1.5215 - Accuracy: 0.3286 - F1: 0.3483
sub_5:Test (Best Model) - Loss: 1.4897 - Accuracy: 0.3048 - F1: 0.3225
sub_5:Test (Best Model) - Loss: 1.4709 - Accuracy: 0.3429 - F1: 0.3604
sub_6:Test (Best Model) - Loss: 1.6574 - Accuracy: 0.2571 - F1: 0.2522
sub_6:Test (Best Model) - Loss: 1.6648 - Accuracy: 0.2762 - F1: 0.2792
sub_6:Test (Best Model) - Loss: 1.7009 - Accuracy: 0.2333 - F1: 0.2375
sub_6:Test (Best Model) - Loss: 1.6564 - Accuracy: 0.2619 - F1: 0.2508
sub_6:Test (Best Model) - Loss: 1.6136 - Accuracy: 0.2381 - F1: 0.2304
sub_6:Test (Best Model) - Loss: 1.6850 - Accuracy: 0.2619 - F1: 0.2628
sub_6:Test (Best Model) - Loss: 1.6461 - Accuracy: 0.2571 - F1: 0.2543
sub_6:Test (Best Model) - Loss: 1.6237 - Accuracy: 0.2524 - F1: 0.2503
sub_6:Test (Best Model) - Loss: 1.6570 - Accuracy: 0.2952 - F1: 0.2870
sub_6:Test (Best Model) - Loss: 1.5569 - Accuracy: 0.2857 - F1: 0.2793
sub_6:Test (Best Model) - Loss: 1.6094 - Accuracy: 0.2667 - F1: 0.2679
sub_6:Test (Best Model) - Loss: 1.6775 - Accuracy: 0.2810 - F1: 0.2713
sub_6:Test (Best Model) - Loss: 1.5892 - Accuracy: 0.3381 - F1: 0.3343
sub_6:Test (Best Model) - Loss: 1.6280 - Accuracy: 0.2619 - F1: 0.2464
sub_6:Test (Best Model) - Loss: 1.6191 - Accuracy: 0.2381 - F1: 0.2336
sub_7:Test (Best Model) - Loss: 1.7158 - Accuracy: 0.2810 - F1: 0.2791
sub_7:Test (Best Model) - Loss: 1.6972 - Accuracy: 0.2667 - F1: 0.2627
sub_7:Test (Best Model) - Loss: 1.6750 - Accuracy: 0.2381 - F1: 0.2262
sub_7:Test (Best Model) - Loss: 1.6840 - Accuracy: 0.2714 - F1: 0.2568
sub_7:Test (Best Model) - Loss: 1.6567 - Accuracy: 0.2286 - F1: 0.2231
sub_7:Test (Best Model) - Loss: 1.6965 - Accuracy: 0.2143 - F1: 0.2121
sub_7:Test (Best Model) - Loss: 1.6608 - Accuracy: 0.2190 - F1: 0.2252
sub_7:Test (Best Model) - Loss: 1.6353 - Accuracy: 0.2190 - F1: 0.2245
sub_7:Test (Best Model) - Loss: 1.6370 - Accuracy: 0.2095 - F1: 0.2164
sub_7:Test (Best Model) - Loss: 1.6455 - Accuracy: 0.2048 - F1: 0.2075
sub_7:Test (Best Model) - Loss: 1.6147 - Accuracy: 0.2571 - F1: 0.2592
sub_7:Test (Best Model) - Loss: 1.6135 - Accuracy: 0.2571 - F1: 0.2542
sub_7:Test (Best Model) - Loss: 1.6299 - Accuracy: 0.2333 - F1: 0.2312
sub_7:Test (Best Model) - Loss: 1.6498 - Accuracy: 0.2476 - F1: 0.2479
sub_7:Test (Best Model) - Loss: 1.6234 - Accuracy: 0.2619 - F1: 0.2576
sub_8:Test (Best Model) - Loss: 1.4812 - Accuracy: 0.4143 - F1: 0.3916
sub_8:Test (Best Model) - Loss: 1.4818 - Accuracy: 0.4238 - F1: 0.4005
sub_8:Test (Best Model) - Loss: 1.4675 - Accuracy: 0.3524 - F1: 0.3327
sub_8:Test (Best Model) - Loss: 1.4918 - Accuracy: 0.3810 - F1: 0.3603
sub_8:Test (Best Model) - Loss: 1.5083 - Accuracy: 0.3952 - F1: 0.3729
sub_8:Test (Best Model) - Loss: 1.4371 - Accuracy: 0.3857 - F1: 0.3913
sub_8:Test (Best Model) - Loss: 1.4803 - Accuracy: 0.3714 - F1: 0.3883
sub_8:Test (Best Model) - Loss: 1.4306 - Accuracy: 0.3667 - F1: 0.3717
sub_8:Test (Best Model) - Loss: 1.4013 - Accuracy: 0.3619 - F1: 0.3675
sub_8:Test (Best Model) - Loss: 1.4306 - Accuracy: 0.3429 - F1: 0.3561
sub_8:Test (Best Model) - Loss: 1.5346 - Accuracy: 0.3333 - F1: 0.3466
sub_8:Test (Best Model) - Loss: 1.5261 - Accuracy: 0.3476 - F1: 0.3636
sub_8:Test (Best Model) - Loss: 1.5114 - Accuracy: 0.3857 - F1: 0.3865
sub_8:Test (Best Model) - Loss: 1.5535 - Accuracy: 0.3476 - F1: 0.3523
sub_8:Test (Best Model) - Loss: 1.5935 - Accuracy: 0.3048 - F1: 0.3261
sub_9:Test (Best Model) - Loss: 1.5419 - Accuracy: 0.3381 - F1: 0.3045
sub_9:Test (Best Model) - Loss: 1.5599 - Accuracy: 0.3095 - F1: 0.2751
sub_9:Test (Best Model) - Loss: 1.5010 - Accuracy: 0.3571 - F1: 0.3208
sub_9:Test (Best Model) - Loss: 1.5646 - Accuracy: 0.2952 - F1: 0.2546
sub_9:Test (Best Model) - Loss: 1.5545 - Accuracy: 0.3000 - F1: 0.2568
sub_9:Test (Best Model) - Loss: 1.5451 - Accuracy: 0.3190 - F1: 0.3082
sub_9:Test (Best Model) - Loss: 1.5422 - Accuracy: 0.3524 - F1: 0.3419
sub_9:Test (Best Model) - Loss: 1.5606 - Accuracy: 0.3238 - F1: 0.3097
sub_9:Test (Best Model) - Loss: 1.5555 - Accuracy: 0.3333 - F1: 0.3166
sub_9:Test (Best Model) - Loss: 1.5224 - Accuracy: 0.3190 - F1: 0.2985
sub_9:Test (Best Model) - Loss: 1.6504 - Accuracy: 0.2095 - F1: 0.2117
sub_9:Test (Best Model) - Loss: 1.6154 - Accuracy: 0.2714 - F1: 0.2730
sub_9:Test (Best Model) - Loss: 1.6321 - Accuracy: 0.2857 - F1: 0.2934
sub_9:Test (Best Model) - Loss: 1.5953 - Accuracy: 0.2429 - F1: 0.2517
sub_9:Test (Best Model) - Loss: 1.5952 - Accuracy: 0.2286 - F1: 0.2362
sub_10:Test (Best Model) - Loss: 1.6381 - Accuracy: 0.2619 - F1: 0.2607
sub_10:Test (Best Model) - Loss: 1.6039 - Accuracy: 0.2714 - F1: 0.2645
sub_10:Test (Best Model) - Loss: 1.6734 - Accuracy: 0.2714 - F1: 0.2650
sub_10:Test (Best Model) - Loss: 1.6493 - Accuracy: 0.2952 - F1: 0.2785
sub_10:Test (Best Model) - Loss: 1.6166 - Accuracy: 0.3000 - F1: 0.2933
sub_10:Test (Best Model) - Loss: 1.6273 - Accuracy: 0.2524 - F1: 0.2522
sub_10:Test (Best Model) - Loss: 1.6152 - Accuracy: 0.2714 - F1: 0.2663
sub_10:Test (Best Model) - Loss: 1.6231 - Accuracy: 0.2905 - F1: 0.2890
sub_10:Test (Best Model) - Loss: 1.5758 - Accuracy: 0.2857 - F1: 0.2837
sub_10:Test (Best Model) - Loss: 1.5832 - Accuracy: 0.3000 - F1: 0.3001
sub_10:Test (Best Model) - Loss: 1.6504 - Accuracy: 0.2762 - F1: 0.2744
sub_10:Test (Best Model) - Loss: 1.6752 - Accuracy: 0.2905 - F1: 0.2871
sub_10:Test (Best Model) - Loss: 1.6227 - Accuracy: 0.3143 - F1: 0.3105
sub_10:Test (Best Model) - Loss: 1.6317 - Accuracy: 0.2524 - F1: 0.2445
sub_10:Test (Best Model) - Loss: 1.6736 - Accuracy: 0.2143 - F1: 0.2138
sub_11:Test (Best Model) - Loss: 1.6561 - Accuracy: 0.2429 - F1: 0.2325
sub_11:Test (Best Model) - Loss: 1.6693 - Accuracy: 0.2476 - F1: 0.2377
sub_11:Test (Best Model) - Loss: 1.7103 - Accuracy: 0.2381 - F1: 0.2316
sub_11:Test (Best Model) - Loss: 1.7248 - Accuracy: 0.2238 - F1: 0.2075
sub_11:Test (Best Model) - Loss: 1.6225 - Accuracy: 0.3000 - F1: 0.2881
sub_11:Test (Best Model) - Loss: 1.5602 - Accuracy: 0.2714 - F1: 0.2751
sub_11:Test (Best Model) - Loss: 1.5472 - Accuracy: 0.3476 - F1: 0.3526
sub_11:Test (Best Model) - Loss: 1.5181 - Accuracy: 0.3000 - F1: 0.3046
sub_11:Test (Best Model) - Loss: 1.5483 - Accuracy: 0.2952 - F1: 0.3049
sub_11:Test (Best Model) - Loss: 1.5977 - Accuracy: 0.2952 - F1: 0.3016
sub_11:Test (Best Model) - Loss: 1.5761 - Accuracy: 0.3095 - F1: 0.3130
sub_11:Test (Best Model) - Loss: 1.5339 - Accuracy: 0.3143 - F1: 0.3125
sub_11:Test (Best Model) - Loss: 1.5746 - Accuracy: 0.3429 - F1: 0.3501
sub_11:Test (Best Model) - Loss: 1.5916 - Accuracy: 0.3000 - F1: 0.3007
sub_11:Test (Best Model) - Loss: 1.5696 - Accuracy: 0.3238 - F1: 0.3256
sub_12:Test (Best Model) - Loss: 1.4987 - Accuracy: 0.3238 - F1: 0.3274
sub_12:Test (Best Model) - Loss: 1.4620 - Accuracy: 0.3190 - F1: 0.3232
sub_12:Test (Best Model) - Loss: 1.4840 - Accuracy: 0.3571 - F1: 0.3518
sub_12:Test (Best Model) - Loss: 1.4603 - Accuracy: 0.3762 - F1: 0.3685
sub_12:Test (Best Model) - Loss: 1.5201 - Accuracy: 0.2857 - F1: 0.3014
sub_12:Test (Best Model) - Loss: 1.5879 - Accuracy: 0.3095 - F1: 0.2548
sub_12:Test (Best Model) - Loss: 1.5424 - Accuracy: 0.3000 - F1: 0.2397
sub_12:Test (Best Model) - Loss: 1.5846 - Accuracy: 0.3000 - F1: 0.2403
sub_12:Test (Best Model) - Loss: 1.6857 - Accuracy: 0.3190 - F1: 0.2607
sub_12:Test (Best Model) - Loss: 1.5503 - Accuracy: 0.3333 - F1: 0.2817
sub_12:Test (Best Model) - Loss: 1.6906 - Accuracy: 0.2667 - F1: 0.2847
sub_12:Test (Best Model) - Loss: 1.6822 - Accuracy: 0.2238 - F1: 0.2452
sub_12:Test (Best Model) - Loss: 1.6476 - Accuracy: 0.2571 - F1: 0.2771
sub_12:Test (Best Model) - Loss: 1.6454 - Accuracy: 0.2619 - F1: 0.2851
sub_12:Test (Best Model) - Loss: 1.6781 - Accuracy: 0.2381 - F1: 0.2524
sub_13:Test (Best Model) - Loss: 1.5497 - Accuracy: 0.2762 - F1: 0.2669
sub_13:Test (Best Model) - Loss: 1.5836 - Accuracy: 0.2429 - F1: 0.2341
sub_13:Test (Best Model) - Loss: 1.5657 - Accuracy: 0.2619 - F1: 0.2526
sub_13:Test (Best Model) - Loss: 1.6219 - Accuracy: 0.2714 - F1: 0.2597
sub_13:Test (Best Model) - Loss: 1.5695 - Accuracy: 0.2762 - F1: 0.2726
sub_13:Test (Best Model) - Loss: 1.6088 - Accuracy: 0.2667 - F1: 0.2516
sub_13:Test (Best Model) - Loss: 1.5966 - Accuracy: 0.2667 - F1: 0.2559
sub_13:Test (Best Model) - Loss: 1.6234 - Accuracy: 0.2429 - F1: 0.2282
sub_13:Test (Best Model) - Loss: 1.5403 - Accuracy: 0.2905 - F1: 0.2837
sub_13:Test (Best Model) - Loss: 1.5598 - Accuracy: 0.2857 - F1: 0.2623
sub_13:Test (Best Model) - Loss: 1.5432 - Accuracy: 0.3190 - F1: 0.3048
sub_13:Test (Best Model) - Loss: 1.5502 - Accuracy: 0.3524 - F1: 0.3345
sub_13:Test (Best Model) - Loss: 1.5541 - Accuracy: 0.2667 - F1: 0.2456
sub_13:Test (Best Model) - Loss: 1.5314 - Accuracy: 0.3429 - F1: 0.3152
sub_13:Test (Best Model) - Loss: 1.5858 - Accuracy: 0.2762 - F1: 0.2650
sub_14:Test (Best Model) - Loss: 1.6376 - Accuracy: 0.3095 - F1: 0.3297
sub_14:Test (Best Model) - Loss: 1.6131 - Accuracy: 0.3190 - F1: 0.3409
sub_14:Test (Best Model) - Loss: 1.5897 - Accuracy: 0.3381 - F1: 0.3525
sub_14:Test (Best Model) - Loss: 1.5833 - Accuracy: 0.3476 - F1: 0.3632
sub_14:Test (Best Model) - Loss: 1.7013 - Accuracy: 0.2571 - F1: 0.2659
sub_14:Test (Best Model) - Loss: 1.4371 - Accuracy: 0.4048 - F1: 0.3634
sub_14:Test (Best Model) - Loss: 1.5422 - Accuracy: 0.3381 - F1: 0.2928
sub_14:Test (Best Model) - Loss: 1.5164 - Accuracy: 0.4000 - F1: 0.3595
sub_14:Test (Best Model) - Loss: 1.5080 - Accuracy: 0.4000 - F1: 0.3586
sub_14:Test (Best Model) - Loss: 1.5216 - Accuracy: 0.3667 - F1: 0.3440
sub_14:Test (Best Model) - Loss: 1.5185 - Accuracy: 0.3476 - F1: 0.3215
sub_14:Test (Best Model) - Loss: 1.5276 - Accuracy: 0.3619 - F1: 0.3083
sub_14:Test (Best Model) - Loss: 1.5474 - Accuracy: 0.3381 - F1: 0.3021
sub_14:Test (Best Model) - Loss: 1.5716 - Accuracy: 0.3429 - F1: 0.2977
sub_14:Test (Best Model) - Loss: 1.5861 - Accuracy: 0.3571 - F1: 0.3215

=== Summary Results ===

acc: 30.54 ± 3.47
F1: 29.44 ± 3.43
acc-in: 35.15 ± 4.07
F1-in: 34.49 ± 4.24
