lr: 1e-05
sub_1:Test (Best Model) - Loss: 1.5951 - Accuracy: 0.2810 - F1: 0.2335
sub_1:Test (Best Model) - Loss: 1.6084 - Accuracy: 0.3190 - F1: 0.2645
sub_1:Test (Best Model) - Loss: 1.6288 - Accuracy: 0.3000 - F1: 0.2687
sub_1:Test (Best Model) - Loss: 1.5911 - Accuracy: 0.2952 - F1: 0.2488
sub_1:Test (Best Model) - Loss: 1.5925 - Accuracy: 0.2714 - F1: 0.2398
sub_1:Test (Best Model) - Loss: 1.4868 - Accuracy: 0.3238 - F1: 0.3281
sub_1:Test (Best Model) - Loss: 1.4747 - Accuracy: 0.3524 - F1: 0.3576
sub_1:Test (Best Model) - Loss: 1.4412 - Accuracy: 0.4000 - F1: 0.4029
sub_1:Test (Best Model) - Loss: 1.4718 - Accuracy: 0.3476 - F1: 0.3605
sub_1:Test (Best Model) - Loss: 1.4928 - Accuracy: 0.3381 - F1: 0.3422
sub_1:Test (Best Model) - Loss: 1.5294 - Accuracy: 0.2952 - F1: 0.3031
sub_1:Test (Best Model) - Loss: 1.5024 - Accuracy: 0.2905 - F1: 0.2866
sub_1:Test (Best Model) - Loss: 1.5348 - Accuracy: 0.2905 - F1: 0.2740
sub_1:Test (Best Model) - Loss: 1.5455 - Accuracy: 0.2762 - F1: 0.2785
sub_1:Test (Best Model) - Loss: 1.5093 - Accuracy: 0.2571 - F1: 0.2657
sub_2:Test (Best Model) - Loss: 1.5379 - Accuracy: 0.3143 - F1: 0.2923
sub_2:Test (Best Model) - Loss: 1.5489 - Accuracy: 0.3143 - F1: 0.2903
sub_2:Test (Best Model) - Loss: 1.5406 - Accuracy: 0.2762 - F1: 0.2493
sub_2:Test (Best Model) - Loss: 1.5637 - Accuracy: 0.2667 - F1: 0.2355
sub_2:Test (Best Model) - Loss: 1.5534 - Accuracy: 0.3000 - F1: 0.2671
sub_2:Test (Best Model) - Loss: 1.5924 - Accuracy: 0.3048 - F1: 0.3089
sub_2:Test (Best Model) - Loss: 1.5803 - Accuracy: 0.2381 - F1: 0.2424
sub_2:Test (Best Model) - Loss: 1.5178 - Accuracy: 0.3095 - F1: 0.3146
sub_2:Test (Best Model) - Loss: 1.5272 - Accuracy: 0.2810 - F1: 0.2833
sub_2:Test (Best Model) - Loss: 1.5532 - Accuracy: 0.2524 - F1: 0.2548
sub_2:Test (Best Model) - Loss: 1.5603 - Accuracy: 0.3095 - F1: 0.3152
sub_2:Test (Best Model) - Loss: 1.5366 - Accuracy: 0.2571 - F1: 0.2609
sub_2:Test (Best Model) - Loss: 1.5348 - Accuracy: 0.2429 - F1: 0.2458
sub_2:Test (Best Model) - Loss: 1.5222 - Accuracy: 0.2905 - F1: 0.2963
sub_2:Test (Best Model) - Loss: 1.5562 - Accuracy: 0.2524 - F1: 0.2656
sub_3:Test (Best Model) - Loss: 1.5805 - Accuracy: 0.2286 - F1: 0.1591
sub_3:Test (Best Model) - Loss: 1.5917 - Accuracy: 0.2667 - F1: 0.1873
sub_3:Test (Best Model) - Loss: 1.5562 - Accuracy: 0.2762 - F1: 0.2222
sub_3:Test (Best Model) - Loss: 1.5862 - Accuracy: 0.2571 - F1: 0.1908
sub_3:Test (Best Model) - Loss: 1.6210 - Accuracy: 0.2524 - F1: 0.1600
sub_3:Test (Best Model) - Loss: 1.5313 - Accuracy: 0.3000 - F1: 0.2982
sub_3:Test (Best Model) - Loss: 1.5382 - Accuracy: 0.2667 - F1: 0.2564
sub_3:Test (Best Model) - Loss: 1.5164 - Accuracy: 0.3095 - F1: 0.3053
sub_3:Test (Best Model) - Loss: 1.5444 - Accuracy: 0.3190 - F1: 0.3148
sub_3:Test (Best Model) - Loss: 1.5205 - Accuracy: 0.3333 - F1: 0.3261
sub_3:Test (Best Model) - Loss: 1.5496 - Accuracy: 0.2810 - F1: 0.2888
sub_3:Test (Best Model) - Loss: 1.5660 - Accuracy: 0.2810 - F1: 0.2810
sub_3:Test (Best Model) - Loss: 1.6022 - Accuracy: 0.3048 - F1: 0.2931
sub_3:Test (Best Model) - Loss: 1.5540 - Accuracy: 0.3000 - F1: 0.3082
sub_3:Test (Best Model) - Loss: 1.5788 - Accuracy: 0.2667 - F1: 0.2637
sub_4:Test (Best Model) - Loss: 1.6054 - Accuracy: 0.2810 - F1: 0.2629
sub_4:Test (Best Model) - Loss: 1.6307 - Accuracy: 0.2190 - F1: 0.2083
sub_4:Test (Best Model) - Loss: 1.6657 - Accuracy: 0.2667 - F1: 0.2525
sub_4:Test (Best Model) - Loss: 1.6187 - Accuracy: 0.2286 - F1: 0.2224
sub_4:Test (Best Model) - Loss: 1.6251 - Accuracy: 0.2190 - F1: 0.2104
sub_4:Test (Best Model) - Loss: 1.5966 - Accuracy: 0.2952 - F1: 0.2988
sub_4:Test (Best Model) - Loss: 1.5895 - Accuracy: 0.2857 - F1: 0.2843
sub_4:Test (Best Model) - Loss: 1.6487 - Accuracy: 0.2571 - F1: 0.2554
sub_4:Test (Best Model) - Loss: 1.6332 - Accuracy: 0.3000 - F1: 0.2963
sub_4:Test (Best Model) - Loss: 1.5891 - Accuracy: 0.2810 - F1: 0.2753
sub_4:Test (Best Model) - Loss: 1.5745 - Accuracy: 0.2810 - F1: 0.2781
sub_4:Test (Best Model) - Loss: 1.5766 - Accuracy: 0.3238 - F1: 0.3207
sub_4:Test (Best Model) - Loss: 1.5667 - Accuracy: 0.3048 - F1: 0.2867
sub_4:Test (Best Model) - Loss: 1.5728 - Accuracy: 0.3190 - F1: 0.3091
sub_4:Test (Best Model) - Loss: 1.5654 - Accuracy: 0.3095 - F1: 0.3021
sub_5:Test (Best Model) - Loss: 1.5609 - Accuracy: 0.3286 - F1: 0.3312
sub_5:Test (Best Model) - Loss: 1.5549 - Accuracy: 0.3476 - F1: 0.3358
sub_5:Test (Best Model) - Loss: 1.5204 - Accuracy: 0.3286 - F1: 0.3105
sub_5:Test (Best Model) - Loss: 1.5318 - Accuracy: 0.3476 - F1: 0.3353
sub_5:Test (Best Model) - Loss: 1.5420 - Accuracy: 0.3333 - F1: 0.3221
sub_5:Test (Best Model) - Loss: 1.5260 - Accuracy: 0.3000 - F1: 0.3057
sub_5:Test (Best Model) - Loss: 1.5793 - Accuracy: 0.3095 - F1: 0.3101
sub_5:Test (Best Model) - Loss: 1.5438 - Accuracy: 0.3238 - F1: 0.3290
sub_5:Test (Best Model) - Loss: 1.5426 - Accuracy: 0.3429 - F1: 0.3481
sub_5:Test (Best Model) - Loss: 1.5533 - Accuracy: 0.3238 - F1: 0.3302
sub_5:Test (Best Model) - Loss: 1.5405 - Accuracy: 0.2524 - F1: 0.2601
sub_5:Test (Best Model) - Loss: 1.5316 - Accuracy: 0.3095 - F1: 0.3203
sub_5:Test (Best Model) - Loss: 1.5556 - Accuracy: 0.3048 - F1: 0.3191
sub_5:Test (Best Model) - Loss: 1.5516 - Accuracy: 0.2762 - F1: 0.2836
sub_5:Test (Best Model) - Loss: 1.5409 - Accuracy: 0.2762 - F1: 0.2921
sub_6:Test (Best Model) - Loss: 1.6374 - Accuracy: 0.2095 - F1: 0.2073
sub_6:Test (Best Model) - Loss: 1.6283 - Accuracy: 0.2667 - F1: 0.2684
sub_6:Test (Best Model) - Loss: 1.6701 - Accuracy: 0.1810 - F1: 0.1819
sub_6:Test (Best Model) - Loss: 1.6508 - Accuracy: 0.2667 - F1: 0.2685
sub_6:Test (Best Model) - Loss: 1.6189 - Accuracy: 0.2667 - F1: 0.2570
sub_6:Test (Best Model) - Loss: 1.6839 - Accuracy: 0.2048 - F1: 0.2066
sub_6:Test (Best Model) - Loss: 1.6643 - Accuracy: 0.2476 - F1: 0.2483
sub_6:Test (Best Model) - Loss: 1.6247 - Accuracy: 0.2286 - F1: 0.2281
sub_6:Test (Best Model) - Loss: 1.6874 - Accuracy: 0.2333 - F1: 0.2294
sub_6:Test (Best Model) - Loss: 1.5854 - Accuracy: 0.2571 - F1: 0.2606
sub_6:Test (Best Model) - Loss: 1.6201 - Accuracy: 0.2762 - F1: 0.2734
sub_6:Test (Best Model) - Loss: 1.6763 - Accuracy: 0.2143 - F1: 0.2145
sub_6:Test (Best Model) - Loss: 1.6033 - Accuracy: 0.3048 - F1: 0.3015
sub_6:Test (Best Model) - Loss: 1.6482 - Accuracy: 0.2476 - F1: 0.2447
sub_6:Test (Best Model) - Loss: 1.6337 - Accuracy: 0.2524 - F1: 0.2483
sub_7:Test (Best Model) - Loss: 1.6738 - Accuracy: 0.2286 - F1: 0.2258
sub_7:Test (Best Model) - Loss: 1.6610 - Accuracy: 0.2238 - F1: 0.2169
sub_7:Test (Best Model) - Loss: 1.6604 - Accuracy: 0.2143 - F1: 0.2019
sub_7:Test (Best Model) - Loss: 1.6578 - Accuracy: 0.2000 - F1: 0.1983
sub_7:Test (Best Model) - Loss: 1.6536 - Accuracy: 0.2143 - F1: 0.2102
sub_7:Test (Best Model) - Loss: 1.6644 - Accuracy: 0.1857 - F1: 0.1804
sub_7:Test (Best Model) - Loss: 1.6337 - Accuracy: 0.2190 - F1: 0.2214
sub_7:Test (Best Model) - Loss: 1.6311 - Accuracy: 0.1762 - F1: 0.1793
sub_7:Test (Best Model) - Loss: 1.6324 - Accuracy: 0.2143 - F1: 0.2141
sub_7:Test (Best Model) - Loss: 1.6544 - Accuracy: 0.1762 - F1: 0.1805
sub_7:Test (Best Model) - Loss: 1.6156 - Accuracy: 0.2190 - F1: 0.2188
sub_7:Test (Best Model) - Loss: 1.6493 - Accuracy: 0.2238 - F1: 0.2196
sub_7:Test (Best Model) - Loss: 1.6440 - Accuracy: 0.2619 - F1: 0.2632
sub_7:Test (Best Model) - Loss: 1.6313 - Accuracy: 0.2429 - F1: 0.2426
sub_7:Test (Best Model) - Loss: 1.6217 - Accuracy: 0.2571 - F1: 0.2513
sub_8:Test (Best Model) - Loss: 1.4751 - Accuracy: 0.3857 - F1: 0.3819
sub_8:Test (Best Model) - Loss: 1.4627 - Accuracy: 0.4000 - F1: 0.3920
sub_8:Test (Best Model) - Loss: 1.4671 - Accuracy: 0.3857 - F1: 0.3738
sub_8:Test (Best Model) - Loss: 1.4672 - Accuracy: 0.3524 - F1: 0.3450
sub_8:Test (Best Model) - Loss: 1.4735 - Accuracy: 0.3524 - F1: 0.3431
sub_8:Test (Best Model) - Loss: 1.4822 - Accuracy: 0.3619 - F1: 0.3757
sub_8:Test (Best Model) - Loss: 1.4912 - Accuracy: 0.3381 - F1: 0.3543
sub_8:Test (Best Model) - Loss: 1.4501 - Accuracy: 0.3381 - F1: 0.3461
sub_8:Test (Best Model) - Loss: 1.4141 - Accuracy: 0.3571 - F1: 0.3676
sub_8:Test (Best Model) - Loss: 1.4573 - Accuracy: 0.3476 - F1: 0.3631
sub_8:Test (Best Model) - Loss: 1.6485 - Accuracy: 0.2762 - F1: 0.2980
sub_8:Test (Best Model) - Loss: 1.5844 - Accuracy: 0.3143 - F1: 0.3333
sub_8:Test (Best Model) - Loss: 1.5107 - Accuracy: 0.3476 - F1: 0.3596
sub_8:Test (Best Model) - Loss: 1.5244 - Accuracy: 0.3429 - F1: 0.3576
sub_8:Test (Best Model) - Loss: 1.6030 - Accuracy: 0.2857 - F1: 0.3055
sub_9:Test (Best Model) - Loss: 1.5396 - Accuracy: 0.3333 - F1: 0.3159
sub_9:Test (Best Model) - Loss: 1.5330 - Accuracy: 0.3190 - F1: 0.3068
sub_9:Test (Best Model) - Loss: 1.5273 - Accuracy: 0.3190 - F1: 0.2997
sub_9:Test (Best Model) - Loss: 1.5394 - Accuracy: 0.2857 - F1: 0.2534
sub_9:Test (Best Model) - Loss: 1.5190 - Accuracy: 0.3143 - F1: 0.2889
sub_9:Test (Best Model) - Loss: 1.5133 - Accuracy: 0.3190 - F1: 0.3094
sub_9:Test (Best Model) - Loss: 1.5612 - Accuracy: 0.3571 - F1: 0.3457
sub_9:Test (Best Model) - Loss: 1.6027 - Accuracy: 0.2429 - F1: 0.2396
sub_9:Test (Best Model) - Loss: 1.5580 - Accuracy: 0.3238 - F1: 0.3085
sub_9:Test (Best Model) - Loss: 1.5329 - Accuracy: 0.3143 - F1: 0.2950
sub_9:Test (Best Model) - Loss: 1.6437 - Accuracy: 0.2333 - F1: 0.2425
sub_9:Test (Best Model) - Loss: 1.5860 - Accuracy: 0.2810 - F1: 0.2826
sub_9:Test (Best Model) - Loss: 1.6403 - Accuracy: 0.2857 - F1: 0.2975
sub_9:Test (Best Model) - Loss: 1.5944 - Accuracy: 0.2429 - F1: 0.2545
sub_9:Test (Best Model) - Loss: 1.6141 - Accuracy: 0.2381 - F1: 0.2461
sub_10:Test (Best Model) - Loss: 1.6691 - Accuracy: 0.2476 - F1: 0.2427
sub_10:Test (Best Model) - Loss: 1.6312 - Accuracy: 0.2381 - F1: 0.2306
sub_10:Test (Best Model) - Loss: 1.6779 - Accuracy: 0.2524 - F1: 0.2464
sub_10:Test (Best Model) - Loss: 1.6400 - Accuracy: 0.2333 - F1: 0.2352
sub_10:Test (Best Model) - Loss: 1.6283 - Accuracy: 0.2476 - F1: 0.2411
sub_10:Test (Best Model) - Loss: 1.6456 - Accuracy: 0.2429 - F1: 0.2375
sub_10:Test (Best Model) - Loss: 1.6062 - Accuracy: 0.2619 - F1: 0.2594
sub_10:Test (Best Model) - Loss: 1.6251 - Accuracy: 0.2857 - F1: 0.2802
sub_10:Test (Best Model) - Loss: 1.5811 - Accuracy: 0.2619 - F1: 0.2579
sub_10:Test (Best Model) - Loss: 1.6018 - Accuracy: 0.2476 - F1: 0.2447
sub_10:Test (Best Model) - Loss: 1.6402 - Accuracy: 0.2333 - F1: 0.2339
sub_10:Test (Best Model) - Loss: 1.6266 - Accuracy: 0.2476 - F1: 0.2434
sub_10:Test (Best Model) - Loss: 1.6399 - Accuracy: 0.2714 - F1: 0.2642
sub_10:Test (Best Model) - Loss: 1.6299 - Accuracy: 0.2238 - F1: 0.2188
sub_10:Test (Best Model) - Loss: 1.6719 - Accuracy: 0.2238 - F1: 0.2231
sub_11:Test (Best Model) - Loss: 1.6550 - Accuracy: 0.2381 - F1: 0.2371
sub_11:Test (Best Model) - Loss: 1.6645 - Accuracy: 0.1952 - F1: 0.1963
sub_11:Test (Best Model) - Loss: 1.6972 - Accuracy: 0.1905 - F1: 0.1869
sub_11:Test (Best Model) - Loss: 1.7118 - Accuracy: 0.2000 - F1: 0.1923
sub_11:Test (Best Model) - Loss: 1.6452 - Accuracy: 0.2238 - F1: 0.2240
sub_11:Test (Best Model) - Loss: 1.5867 - Accuracy: 0.2714 - F1: 0.2745
sub_11:Test (Best Model) - Loss: 1.5883 - Accuracy: 0.2571 - F1: 0.2548
sub_11:Test (Best Model) - Loss: 1.5507 - Accuracy: 0.3000 - F1: 0.3030
sub_11:Test (Best Model) - Loss: 1.5881 - Accuracy: 0.2762 - F1: 0.2823
sub_11:Test (Best Model) - Loss: 1.5941 - Accuracy: 0.3095 - F1: 0.3194
sub_11:Test (Best Model) - Loss: 1.6045 - Accuracy: 0.2476 - F1: 0.2503
sub_11:Test (Best Model) - Loss: 1.5691 - Accuracy: 0.2524 - F1: 0.2535
sub_11:Test (Best Model) - Loss: 1.6101 - Accuracy: 0.2762 - F1: 0.2804
sub_11:Test (Best Model) - Loss: 1.6077 - Accuracy: 0.3048 - F1: 0.3081
sub_11:Test (Best Model) - Loss: 1.5882 - Accuracy: 0.2810 - F1: 0.2853
sub_12:Test (Best Model) - Loss: 1.5486 - Accuracy: 0.2810 - F1: 0.2911
sub_12:Test (Best Model) - Loss: 1.5504 - Accuracy: 0.2476 - F1: 0.2552
sub_12:Test (Best Model) - Loss: 1.5315 - Accuracy: 0.3238 - F1: 0.3173
sub_12:Test (Best Model) - Loss: 1.4886 - Accuracy: 0.3524 - F1: 0.3544
sub_12:Test (Best Model) - Loss: 1.5609 - Accuracy: 0.2333 - F1: 0.2469
sub_12:Test (Best Model) - Loss: 1.5805 - Accuracy: 0.2952 - F1: 0.2501
sub_12:Test (Best Model) - Loss: 1.5351 - Accuracy: 0.3000 - F1: 0.2512
sub_12:Test (Best Model) - Loss: 1.5975 - Accuracy: 0.3095 - F1: 0.2675
sub_12:Test (Best Model) - Loss: 1.5560 - Accuracy: 0.3095 - F1: 0.2690
sub_12:Test (Best Model) - Loss: 1.5508 - Accuracy: 0.2810 - F1: 0.2383
sub_12:Test (Best Model) - Loss: 1.6389 - Accuracy: 0.2286 - F1: 0.2400
sub_12:Test (Best Model) - Loss: 1.7306 - Accuracy: 0.2238 - F1: 0.2442
sub_12:Test (Best Model) - Loss: 1.6507 - Accuracy: 0.2238 - F1: 0.2420
sub_12:Test (Best Model) - Loss: 1.6430 - Accuracy: 0.2524 - F1: 0.2593
sub_12:Test (Best Model) - Loss: 1.6689 - Accuracy: 0.2571 - F1: 0.2716
sub_13:Test (Best Model) - Loss: 1.5957 - Accuracy: 0.2571 - F1: 0.2447
sub_13:Test (Best Model) - Loss: 1.5866 - Accuracy: 0.2429 - F1: 0.2358
sub_13:Test (Best Model) - Loss: 1.5826 - Accuracy: 0.2619 - F1: 0.2522
sub_13:Test (Best Model) - Loss: 1.5691 - Accuracy: 0.2524 - F1: 0.2443
sub_13:Test (Best Model) - Loss: 1.5779 - Accuracy: 0.2429 - F1: 0.2268
sub_13:Test (Best Model) - Loss: 1.6045 - Accuracy: 0.2476 - F1: 0.2379
sub_13:Test (Best Model) - Loss: 1.5814 - Accuracy: 0.2333 - F1: 0.2221
sub_13:Test (Best Model) - Loss: 1.6058 - Accuracy: 0.2476 - F1: 0.2418
sub_13:Test (Best Model) - Loss: 1.5433 - Accuracy: 0.3000 - F1: 0.2993
sub_13:Test (Best Model) - Loss: 1.5683 - Accuracy: 0.3143 - F1: 0.3040
sub_13:Test (Best Model) - Loss: 1.5772 - Accuracy: 0.2810 - F1: 0.2773
sub_13:Test (Best Model) - Loss: 1.5503 - Accuracy: 0.3000 - F1: 0.2944
sub_13:Test (Best Model) - Loss: 1.5944 - Accuracy: 0.2619 - F1: 0.2545
sub_13:Test (Best Model) - Loss: 1.5639 - Accuracy: 0.2857 - F1: 0.2761
sub_13:Test (Best Model) - Loss: 1.5854 - Accuracy: 0.2429 - F1: 0.2326
sub_14:Test (Best Model) - Loss: 1.6650 - Accuracy: 0.3000 - F1: 0.3119
sub_14:Test (Best Model) - Loss: 1.6362 - Accuracy: 0.2810 - F1: 0.2908
sub_14:Test (Best Model) - Loss: 1.6047 - Accuracy: 0.3000 - F1: 0.3017
sub_14:Test (Best Model) - Loss: 1.6172 - Accuracy: 0.2857 - F1: 0.2898
sub_14:Test (Best Model) - Loss: 1.6731 - Accuracy: 0.2524 - F1: 0.2500
sub_14:Test (Best Model) - Loss: 1.5011 - Accuracy: 0.3286 - F1: 0.2991
sub_14:Test (Best Model) - Loss: 1.5474 - Accuracy: 0.3095 - F1: 0.2804
sub_14:Test (Best Model) - Loss: 1.5221 - Accuracy: 0.3333 - F1: 0.3177
sub_14:Test (Best Model) - Loss: 1.5035 - Accuracy: 0.3476 - F1: 0.3307
sub_14:Test (Best Model) - Loss: 1.5973 - Accuracy: 0.2429 - F1: 0.2374
sub_14:Test (Best Model) - Loss: 1.5581 - Accuracy: 0.3286 - F1: 0.3179
sub_14:Test (Best Model) - Loss: 1.5812 - Accuracy: 0.2857 - F1: 0.2653
sub_14:Test (Best Model) - Loss: 1.5859 - Accuracy: 0.2952 - F1: 0.2800
sub_14:Test (Best Model) - Loss: 1.5857 - Accuracy: 0.3190 - F1: 0.3049
sub_14:Test (Best Model) - Loss: 1.6014 - Accuracy: 0.3095 - F1: 0.2871

=== Summary Results ===

acc: 27.92 ± 3.18
F1: 27.33 ± 3.30
acc-in: 32.80 ± 3.68
F1-in: 32.18 ± 3.86
