lr: 1e-05
sub_1:Test (Best Model) - Loss: 1.8877 - Accuracy: 0.3048 - F1: 0.2434
sub_1:Test (Best Model) - Loss: 1.8058 - Accuracy: 0.3048 - F1: 0.2328
sub_1:Test (Best Model) - Loss: 1.8037 - Accuracy: 0.3190 - F1: 0.2684
sub_1:Test (Best Model) - Loss: 1.6649 - Accuracy: 0.2952 - F1: 0.2392
sub_1:Test (Best Model) - Loss: 1.7356 - Accuracy: 0.2905 - F1: 0.2455
sub_1:Test (Best Model) - Loss: 1.4653 - Accuracy: 0.3238 - F1: 0.3257
sub_1:Test (Best Model) - Loss: 1.4883 - Accuracy: 0.3619 - F1: 0.3608
sub_1:Test (Best Model) - Loss: 1.4360 - Accuracy: 0.3429 - F1: 0.3461
sub_1:Test (Best Model) - Loss: 1.4363 - Accuracy: 0.3667 - F1: 0.3775
sub_1:Test (Best Model) - Loss: 1.5195 - Accuracy: 0.3429 - F1: 0.3407
sub_1:Test (Best Model) - Loss: 1.5724 - Accuracy: 0.3381 - F1: 0.3427
sub_1:Test (Best Model) - Loss: 1.4707 - Accuracy: 0.3333 - F1: 0.3378
sub_1:Test (Best Model) - Loss: 1.4999 - Accuracy: 0.3571 - F1: 0.3435
sub_1:Test (Best Model) - Loss: 1.4871 - Accuracy: 0.3429 - F1: 0.3482
sub_1:Test (Best Model) - Loss: 1.5386 - Accuracy: 0.2762 - F1: 0.2874
sub_2:Test (Best Model) - Loss: 1.4943 - Accuracy: 0.3524 - F1: 0.2746
sub_2:Test (Best Model) - Loss: 1.5137 - Accuracy: 0.3714 - F1: 0.3129
sub_2:Test (Best Model) - Loss: 1.5533 - Accuracy: 0.3286 - F1: 0.2550
sub_2:Test (Best Model) - Loss: 1.5625 - Accuracy: 0.3810 - F1: 0.2768
sub_2:Test (Best Model) - Loss: 1.5517 - Accuracy: 0.3571 - F1: 0.2567
sub_2:Test (Best Model) - Loss: 1.5248 - Accuracy: 0.3429 - F1: 0.3560
sub_2:Test (Best Model) - Loss: 1.4947 - Accuracy: 0.2952 - F1: 0.3045
sub_2:Test (Best Model) - Loss: 1.4589 - Accuracy: 0.3905 - F1: 0.4010
sub_2:Test (Best Model) - Loss: 1.4738 - Accuracy: 0.3524 - F1: 0.3635
sub_2:Test (Best Model) - Loss: 1.4779 - Accuracy: 0.3286 - F1: 0.3398
sub_2:Test (Best Model) - Loss: 1.4925 - Accuracy: 0.3381 - F1: 0.3331
sub_2:Test (Best Model) - Loss: 1.4944 - Accuracy: 0.3619 - F1: 0.3613
sub_2:Test (Best Model) - Loss: 1.4922 - Accuracy: 0.3143 - F1: 0.3119
sub_2:Test (Best Model) - Loss: 1.4715 - Accuracy: 0.3238 - F1: 0.3316
sub_2:Test (Best Model) - Loss: 1.5330 - Accuracy: 0.2905 - F1: 0.3066
sub_3:Test (Best Model) - Loss: 1.6277 - Accuracy: 0.2476 - F1: 0.1774
sub_3:Test (Best Model) - Loss: 1.6401 - Accuracy: 0.2524 - F1: 0.1738
sub_3:Test (Best Model) - Loss: 1.5795 - Accuracy: 0.2762 - F1: 0.1982
sub_3:Test (Best Model) - Loss: 1.7173 - Accuracy: 0.2571 - F1: 0.1851
sub_3:Test (Best Model) - Loss: 1.8376 - Accuracy: 0.2429 - F1: 0.1415
sub_3:Test (Best Model) - Loss: 1.5439 - Accuracy: 0.3048 - F1: 0.3039
sub_3:Test (Best Model) - Loss: 1.5269 - Accuracy: 0.2810 - F1: 0.2717
sub_3:Test (Best Model) - Loss: 1.5119 - Accuracy: 0.3429 - F1: 0.3285
sub_3:Test (Best Model) - Loss: 1.5667 - Accuracy: 0.3048 - F1: 0.2948
sub_3:Test (Best Model) - Loss: 1.5223 - Accuracy: 0.3095 - F1: 0.2988
sub_3:Test (Best Model) - Loss: 1.6609 - Accuracy: 0.2667 - F1: 0.2739
sub_3:Test (Best Model) - Loss: 1.6494 - Accuracy: 0.2905 - F1: 0.2919
sub_3:Test (Best Model) - Loss: 1.6641 - Accuracy: 0.3095 - F1: 0.3159
sub_3:Test (Best Model) - Loss: 1.6048 - Accuracy: 0.3143 - F1: 0.3224
sub_3:Test (Best Model) - Loss: 1.6289 - Accuracy: 0.3190 - F1: 0.3194
sub_4:Test (Best Model) - Loss: 1.5156 - Accuracy: 0.3619 - F1: 0.3316
sub_4:Test (Best Model) - Loss: 1.5699 - Accuracy: 0.2905 - F1: 0.2730
sub_4:Test (Best Model) - Loss: 1.5926 - Accuracy: 0.2714 - F1: 0.2492
sub_4:Test (Best Model) - Loss: 1.5149 - Accuracy: 0.3476 - F1: 0.3154
sub_4:Test (Best Model) - Loss: 1.5699 - Accuracy: 0.2905 - F1: 0.2669
sub_4:Test (Best Model) - Loss: 1.5089 - Accuracy: 0.3286 - F1: 0.3325
sub_4:Test (Best Model) - Loss: 1.5610 - Accuracy: 0.3143 - F1: 0.3165
sub_4:Test (Best Model) - Loss: 1.5562 - Accuracy: 0.3143 - F1: 0.3205
sub_4:Test (Best Model) - Loss: 1.5410 - Accuracy: 0.3190 - F1: 0.3199
sub_4:Test (Best Model) - Loss: 1.5305 - Accuracy: 0.3143 - F1: 0.3080
sub_4:Test (Best Model) - Loss: 1.5029 - Accuracy: 0.3619 - F1: 0.3295
sub_4:Test (Best Model) - Loss: 1.5034 - Accuracy: 0.3476 - F1: 0.3199
sub_4:Test (Best Model) - Loss: 1.5057 - Accuracy: 0.3381 - F1: 0.2860
sub_4:Test (Best Model) - Loss: 1.5375 - Accuracy: 0.3095 - F1: 0.2961
sub_4:Test (Best Model) - Loss: 1.4544 - Accuracy: 0.3762 - F1: 0.3525
sub_5:Test (Best Model) - Loss: 1.6570 - Accuracy: 0.3857 - F1: 0.3286
sub_5:Test (Best Model) - Loss: 1.5923 - Accuracy: 0.3619 - F1: 0.3044
sub_5:Test (Best Model) - Loss: 1.5148 - Accuracy: 0.4095 - F1: 0.3474
sub_5:Test (Best Model) - Loss: 1.6486 - Accuracy: 0.3714 - F1: 0.3099
sub_5:Test (Best Model) - Loss: 1.5792 - Accuracy: 0.3905 - F1: 0.3331
sub_5:Test (Best Model) - Loss: 1.4745 - Accuracy: 0.3714 - F1: 0.3782
sub_5:Test (Best Model) - Loss: 1.5575 - Accuracy: 0.3143 - F1: 0.3175
sub_5:Test (Best Model) - Loss: 1.4809 - Accuracy: 0.3905 - F1: 0.3989
sub_5:Test (Best Model) - Loss: 1.4567 - Accuracy: 0.3762 - F1: 0.3828
sub_5:Test (Best Model) - Loss: 1.5267 - Accuracy: 0.3524 - F1: 0.3561
sub_5:Test (Best Model) - Loss: 1.4578 - Accuracy: 0.3381 - F1: 0.3567
sub_5:Test (Best Model) - Loss: 1.4497 - Accuracy: 0.3619 - F1: 0.3749
sub_5:Test (Best Model) - Loss: 1.4786 - Accuracy: 0.3333 - F1: 0.3537
sub_5:Test (Best Model) - Loss: 1.4692 - Accuracy: 0.3190 - F1: 0.3348
sub_5:Test (Best Model) - Loss: 1.4482 - Accuracy: 0.3524 - F1: 0.3732
sub_6:Test (Best Model) - Loss: 1.6601 - Accuracy: 0.2667 - F1: 0.2636
sub_6:Test (Best Model) - Loss: 1.6358 - Accuracy: 0.2905 - F1: 0.2927
sub_6:Test (Best Model) - Loss: 1.6794 - Accuracy: 0.2429 - F1: 0.2407
sub_6:Test (Best Model) - Loss: 1.6296 - Accuracy: 0.2952 - F1: 0.2887
sub_6:Test (Best Model) - Loss: 1.6092 - Accuracy: 0.2571 - F1: 0.2436
sub_6:Test (Best Model) - Loss: 1.7029 - Accuracy: 0.2857 - F1: 0.2822
sub_6:Test (Best Model) - Loss: 1.6125 - Accuracy: 0.2524 - F1: 0.2462
sub_6:Test (Best Model) - Loss: 1.6033 - Accuracy: 0.2905 - F1: 0.2883
sub_6:Test (Best Model) - Loss: 1.6180 - Accuracy: 0.2714 - F1: 0.2573
sub_6:Test (Best Model) - Loss: 1.5369 - Accuracy: 0.2857 - F1: 0.2780
sub_6:Test (Best Model) - Loss: 1.6124 - Accuracy: 0.2429 - F1: 0.2384
sub_6:Test (Best Model) - Loss: 1.6574 - Accuracy: 0.2524 - F1: 0.2444
sub_6:Test (Best Model) - Loss: 1.5832 - Accuracy: 0.3286 - F1: 0.3196
sub_6:Test (Best Model) - Loss: 1.6157 - Accuracy: 0.2810 - F1: 0.2662
sub_6:Test (Best Model) - Loss: 1.6425 - Accuracy: 0.2810 - F1: 0.2740
sub_7:Test (Best Model) - Loss: 1.7445 - Accuracy: 0.2667 - F1: 0.2556
sub_7:Test (Best Model) - Loss: 1.7185 - Accuracy: 0.2714 - F1: 0.2671
sub_7:Test (Best Model) - Loss: 1.7387 - Accuracy: 0.2667 - F1: 0.2547
sub_7:Test (Best Model) - Loss: 1.6934 - Accuracy: 0.2762 - F1: 0.2632
sub_7:Test (Best Model) - Loss: 1.7592 - Accuracy: 0.2667 - F1: 0.2542
sub_7:Test (Best Model) - Loss: 1.6729 - Accuracy: 0.2286 - F1: 0.2375
sub_7:Test (Best Model) - Loss: 1.6613 - Accuracy: 0.2381 - F1: 0.2373
sub_7:Test (Best Model) - Loss: 1.6435 - Accuracy: 0.2000 - F1: 0.2000
sub_7:Test (Best Model) - Loss: 1.6935 - Accuracy: 0.2000 - F1: 0.2078
sub_7:Test (Best Model) - Loss: 1.6678 - Accuracy: 0.1952 - F1: 0.1904
sub_7:Test (Best Model) - Loss: 1.6461 - Accuracy: 0.2429 - F1: 0.2460
sub_7:Test (Best Model) - Loss: 1.6926 - Accuracy: 0.2190 - F1: 0.2114
sub_7:Test (Best Model) - Loss: 1.6515 - Accuracy: 0.2286 - F1: 0.2266
sub_7:Test (Best Model) - Loss: 1.6806 - Accuracy: 0.2048 - F1: 0.1975
sub_7:Test (Best Model) - Loss: 1.6199 - Accuracy: 0.2571 - F1: 0.2549
sub_8:Test (Best Model) - Loss: 1.4672 - Accuracy: 0.4190 - F1: 0.3961
sub_8:Test (Best Model) - Loss: 1.5360 - Accuracy: 0.3857 - F1: 0.3571
sub_8:Test (Best Model) - Loss: 1.4903 - Accuracy: 0.3810 - F1: 0.3536
sub_8:Test (Best Model) - Loss: 1.5022 - Accuracy: 0.3810 - F1: 0.3584
sub_8:Test (Best Model) - Loss: 1.5089 - Accuracy: 0.3619 - F1: 0.3358
sub_8:Test (Best Model) - Loss: 1.4410 - Accuracy: 0.3762 - F1: 0.3898
sub_8:Test (Best Model) - Loss: 1.4537 - Accuracy: 0.3476 - F1: 0.3632
sub_8:Test (Best Model) - Loss: 1.4022 - Accuracy: 0.3714 - F1: 0.3826
sub_8:Test (Best Model) - Loss: 1.3823 - Accuracy: 0.3810 - F1: 0.3790
sub_8:Test (Best Model) - Loss: 1.4399 - Accuracy: 0.3571 - F1: 0.3697
sub_8:Test (Best Model) - Loss: 1.5584 - Accuracy: 0.3905 - F1: 0.3968
sub_8:Test (Best Model) - Loss: 1.5058 - Accuracy: 0.3762 - F1: 0.3892
sub_8:Test (Best Model) - Loss: 1.4760 - Accuracy: 0.3857 - F1: 0.3895
sub_8:Test (Best Model) - Loss: 1.5253 - Accuracy: 0.3619 - F1: 0.3632
sub_8:Test (Best Model) - Loss: 1.6431 - Accuracy: 0.3524 - F1: 0.3597
sub_9:Test (Best Model) - Loss: 1.5870 - Accuracy: 0.3476 - F1: 0.2988
sub_9:Test (Best Model) - Loss: 1.5531 - Accuracy: 0.3429 - F1: 0.3041
sub_9:Test (Best Model) - Loss: 1.5331 - Accuracy: 0.3524 - F1: 0.2979
sub_9:Test (Best Model) - Loss: 1.6158 - Accuracy: 0.3095 - F1: 0.2583
sub_9:Test (Best Model) - Loss: 1.5693 - Accuracy: 0.3048 - F1: 0.2603
sub_9:Test (Best Model) - Loss: 1.5433 - Accuracy: 0.3190 - F1: 0.3134
sub_9:Test (Best Model) - Loss: 1.5451 - Accuracy: 0.3714 - F1: 0.3533
sub_9:Test (Best Model) - Loss: 1.5652 - Accuracy: 0.3143 - F1: 0.3024
sub_9:Test (Best Model) - Loss: 1.5575 - Accuracy: 0.3429 - F1: 0.3260
sub_9:Test (Best Model) - Loss: 1.5026 - Accuracy: 0.3429 - F1: 0.3187
sub_9:Test (Best Model) - Loss: 1.7064 - Accuracy: 0.2286 - F1: 0.2292
sub_9:Test (Best Model) - Loss: 1.5827 - Accuracy: 0.2810 - F1: 0.2818
sub_9:Test (Best Model) - Loss: 1.6354 - Accuracy: 0.2762 - F1: 0.2855
sub_9:Test (Best Model) - Loss: 1.6290 - Accuracy: 0.2619 - F1: 0.2669
sub_9:Test (Best Model) - Loss: 1.5890 - Accuracy: 0.2524 - F1: 0.2593
sub_10:Test (Best Model) - Loss: 1.6862 - Accuracy: 0.2667 - F1: 0.2605
sub_10:Test (Best Model) - Loss: 1.6180 - Accuracy: 0.2762 - F1: 0.2670
sub_10:Test (Best Model) - Loss: 1.6404 - Accuracy: 0.2571 - F1: 0.2553
sub_10:Test (Best Model) - Loss: 1.6507 - Accuracy: 0.2952 - F1: 0.2841
sub_10:Test (Best Model) - Loss: 1.6127 - Accuracy: 0.3048 - F1: 0.3044
sub_10:Test (Best Model) - Loss: 1.6238 - Accuracy: 0.2714 - F1: 0.2622
sub_10:Test (Best Model) - Loss: 1.6086 - Accuracy: 0.2619 - F1: 0.2587
sub_10:Test (Best Model) - Loss: 1.6334 - Accuracy: 0.3000 - F1: 0.2983
sub_10:Test (Best Model) - Loss: 1.5694 - Accuracy: 0.3333 - F1: 0.3339
sub_10:Test (Best Model) - Loss: 1.6167 - Accuracy: 0.3048 - F1: 0.3063
sub_10:Test (Best Model) - Loss: 1.6643 - Accuracy: 0.2381 - F1: 0.2359
sub_10:Test (Best Model) - Loss: 1.6477 - Accuracy: 0.2667 - F1: 0.2625
sub_10:Test (Best Model) - Loss: 1.6160 - Accuracy: 0.3095 - F1: 0.3021
sub_10:Test (Best Model) - Loss: 1.6220 - Accuracy: 0.2857 - F1: 0.2887
sub_10:Test (Best Model) - Loss: 1.6509 - Accuracy: 0.2524 - F1: 0.2576
sub_11:Test (Best Model) - Loss: 1.7037 - Accuracy: 0.2333 - F1: 0.2225
sub_11:Test (Best Model) - Loss: 1.6668 - Accuracy: 0.2381 - F1: 0.2322
sub_11:Test (Best Model) - Loss: 1.6786 - Accuracy: 0.2286 - F1: 0.2164
sub_11:Test (Best Model) - Loss: 1.6525 - Accuracy: 0.2476 - F1: 0.2274
sub_11:Test (Best Model) - Loss: 1.6290 - Accuracy: 0.2667 - F1: 0.2544
sub_11:Test (Best Model) - Loss: 1.5535 - Accuracy: 0.3095 - F1: 0.3113
sub_11:Test (Best Model) - Loss: 1.5552 - Accuracy: 0.2857 - F1: 0.2838
sub_11:Test (Best Model) - Loss: 1.5147 - Accuracy: 0.3381 - F1: 0.3444
sub_11:Test (Best Model) - Loss: 1.5627 - Accuracy: 0.3333 - F1: 0.3423
sub_11:Test (Best Model) - Loss: 1.5555 - Accuracy: 0.2762 - F1: 0.2848
sub_11:Test (Best Model) - Loss: 1.6066 - Accuracy: 0.2905 - F1: 0.2928
sub_11:Test (Best Model) - Loss: 1.5880 - Accuracy: 0.3333 - F1: 0.3277
sub_11:Test (Best Model) - Loss: 1.5822 - Accuracy: 0.3286 - F1: 0.3292
sub_11:Test (Best Model) - Loss: 1.6410 - Accuracy: 0.3000 - F1: 0.3002
sub_11:Test (Best Model) - Loss: 1.5664 - Accuracy: 0.3476 - F1: 0.3573
sub_12:Test (Best Model) - Loss: 1.4893 - Accuracy: 0.3381 - F1: 0.3413
sub_12:Test (Best Model) - Loss: 1.4577 - Accuracy: 0.3571 - F1: 0.3571
sub_12:Test (Best Model) - Loss: 1.4506 - Accuracy: 0.3667 - F1: 0.3552
sub_12:Test (Best Model) - Loss: 1.4216 - Accuracy: 0.3905 - F1: 0.3863
sub_12:Test (Best Model) - Loss: 1.4856 - Accuracy: 0.3048 - F1: 0.3163
sub_12:Test (Best Model) - Loss: 1.6058 - Accuracy: 0.2857 - F1: 0.2291
sub_12:Test (Best Model) - Loss: 1.5309 - Accuracy: 0.2857 - F1: 0.2325
sub_12:Test (Best Model) - Loss: 1.7002 - Accuracy: 0.2952 - F1: 0.2317
sub_12:Test (Best Model) - Loss: 1.5811 - Accuracy: 0.3048 - F1: 0.2464
sub_12:Test (Best Model) - Loss: 1.5738 - Accuracy: 0.3143 - F1: 0.2567
sub_12:Test (Best Model) - Loss: 1.6959 - Accuracy: 0.2714 - F1: 0.2898
sub_12:Test (Best Model) - Loss: 1.7401 - Accuracy: 0.2429 - F1: 0.2619
sub_12:Test (Best Model) - Loss: 1.6302 - Accuracy: 0.2857 - F1: 0.3015
sub_12:Test (Best Model) - Loss: 1.6240 - Accuracy: 0.2667 - F1: 0.2825
sub_12:Test (Best Model) - Loss: 1.7057 - Accuracy: 0.2571 - F1: 0.2774
sub_13:Test (Best Model) - Loss: 1.5734 - Accuracy: 0.2714 - F1: 0.2642
sub_13:Test (Best Model) - Loss: 1.5819 - Accuracy: 0.2571 - F1: 0.2577
sub_13:Test (Best Model) - Loss: 1.5914 - Accuracy: 0.2619 - F1: 0.2443
sub_13:Test (Best Model) - Loss: 1.6085 - Accuracy: 0.2762 - F1: 0.2596
sub_13:Test (Best Model) - Loss: 1.5631 - Accuracy: 0.2571 - F1: 0.2525
sub_13:Test (Best Model) - Loss: 1.6613 - Accuracy: 0.2952 - F1: 0.2760
sub_13:Test (Best Model) - Loss: 1.6075 - Accuracy: 0.2857 - F1: 0.2603
sub_13:Test (Best Model) - Loss: 1.6466 - Accuracy: 0.2619 - F1: 0.2408
sub_13:Test (Best Model) - Loss: 1.5549 - Accuracy: 0.2857 - F1: 0.2784
sub_13:Test (Best Model) - Loss: 1.6411 - Accuracy: 0.2905 - F1: 0.2669
sub_13:Test (Best Model) - Loss: 1.5769 - Accuracy: 0.2952 - F1: 0.2804
sub_13:Test (Best Model) - Loss: 1.5566 - Accuracy: 0.3048 - F1: 0.2910
sub_13:Test (Best Model) - Loss: 1.5749 - Accuracy: 0.2762 - F1: 0.2433
sub_13:Test (Best Model) - Loss: 1.5314 - Accuracy: 0.3190 - F1: 0.3090
sub_13:Test (Best Model) - Loss: 1.5624 - Accuracy: 0.2714 - F1: 0.2588
sub_14:Test (Best Model) - Loss: 1.6221 - Accuracy: 0.3333 - F1: 0.3477
sub_14:Test (Best Model) - Loss: 1.5950 - Accuracy: 0.3333 - F1: 0.3548
sub_14:Test (Best Model) - Loss: 1.5768 - Accuracy: 0.3667 - F1: 0.3899
sub_14:Test (Best Model) - Loss: 1.5422 - Accuracy: 0.3476 - F1: 0.3657
sub_14:Test (Best Model) - Loss: 1.7037 - Accuracy: 0.2762 - F1: 0.2837
sub_14:Test (Best Model) - Loss: 1.4413 - Accuracy: 0.4095 - F1: 0.3599
sub_14:Test (Best Model) - Loss: 1.5376 - Accuracy: 0.3667 - F1: 0.3174
sub_14:Test (Best Model) - Loss: 1.4881 - Accuracy: 0.3952 - F1: 0.3460
sub_14:Test (Best Model) - Loss: 1.5190 - Accuracy: 0.4143 - F1: 0.3613
sub_14:Test (Best Model) - Loss: 1.5216 - Accuracy: 0.3952 - F1: 0.3541
sub_14:Test (Best Model) - Loss: 1.5261 - Accuracy: 0.3571 - F1: 0.3221
sub_14:Test (Best Model) - Loss: 1.5258 - Accuracy: 0.3762 - F1: 0.3136
sub_14:Test (Best Model) - Loss: 1.5731 - Accuracy: 0.3524 - F1: 0.2879
sub_14:Test (Best Model) - Loss: 1.5406 - Accuracy: 0.3381 - F1: 0.2901
sub_14:Test (Best Model) - Loss: 1.6138 - Accuracy: 0.3381 - F1: 0.2931

=== Summary Results ===

acc: 31.13 ± 3.78
F1: 29.76 ± 3.60
acc-in: 36.15 ± 4.38
F1-in: 35.31 ± 4.51
