lr: 0.001
sub_1:Test (Best Model) - Loss: 29.9478 - Accuracy: 0.2762 - F1: 0.1971
sub_1:Test (Best Model) - Loss: 30.5851 - Accuracy: 0.3048 - F1: 0.2433
sub_1:Test (Best Model) - Loss: 29.6246 - Accuracy: 0.2714 - F1: 0.1955
sub_1:Test (Best Model) - Loss: 30.6627 - Accuracy: 0.3048 - F1: 0.2433
sub_1:Test (Best Model) - Loss: 29.9772 - Accuracy: 0.2381 - F1: 0.1579
sub_1:Test (Best Model) - Loss: 13.9467 - Accuracy: 0.2714 - F1: 0.2686
sub_1:Test (Best Model) - Loss: 17.0143 - Accuracy: 0.2714 - F1: 0.2611
sub_1:Test (Best Model) - Loss: 16.7141 - Accuracy: 0.2571 - F1: 0.2598
sub_1:Test (Best Model) - Loss: 13.0572 - Accuracy: 0.3095 - F1: 0.3123
sub_1:Test (Best Model) - Loss: 13.6790 - Accuracy: 0.3286 - F1: 0.3287
sub_1:Test (Best Model) - Loss: 17.3964 - Accuracy: 0.2952 - F1: 0.2892
sub_1:Test (Best Model) - Loss: 13.9732 - Accuracy: 0.2905 - F1: 0.2973
sub_1:Test (Best Model) - Loss: 18.8097 - Accuracy: 0.3238 - F1: 0.2975
sub_1:Test (Best Model) - Loss: 12.8664 - Accuracy: 0.3095 - F1: 0.3054
sub_1:Test (Best Model) - Loss: 13.6090 - Accuracy: 0.3095 - F1: 0.3182
sub_2:Test (Best Model) - Loss: 11.8307 - Accuracy: 0.3429 - F1: 0.3203
sub_2:Test (Best Model) - Loss: 13.5663 - Accuracy: 0.3476 - F1: 0.3178
sub_2:Test (Best Model) - Loss: 10.4789 - Accuracy: 0.3810 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 19.0518 - Accuracy: 0.3286 - F1: 0.2748
sub_2:Test (Best Model) - Loss: 11.4282 - Accuracy: 0.3619 - F1: 0.3220
sub_2:Test (Best Model) - Loss: 19.0930 - Accuracy: 0.3143 - F1: 0.3088
sub_2:Test (Best Model) - Loss: 13.0523 - Accuracy: 0.3952 - F1: 0.4135
sub_2:Test (Best Model) - Loss: 17.7547 - Accuracy: 0.3571 - F1: 0.3492
sub_2:Test (Best Model) - Loss: 17.1345 - Accuracy: 0.3667 - F1: 0.3709
sub_2:Test (Best Model) - Loss: 16.0457 - Accuracy: 0.3952 - F1: 0.4054
sub_2:Test (Best Model) - Loss: 13.5530 - Accuracy: 0.3714 - F1: 0.3675
sub_2:Test (Best Model) - Loss: 17.5715 - Accuracy: 0.3095 - F1: 0.3057
sub_2:Test (Best Model) - Loss: 13.6905 - Accuracy: 0.3333 - F1: 0.2758
sub_2:Test (Best Model) - Loss: 13.1036 - Accuracy: 0.3238 - F1: 0.3260
sub_2:Test (Best Model) - Loss: 15.4264 - Accuracy: 0.2762 - F1: 0.2896
sub_3:Test (Best Model) - Loss: 11.4233 - Accuracy: 0.2714 - F1: 0.2395
sub_3:Test (Best Model) - Loss: 20.1552 - Accuracy: 0.2762 - F1: 0.2184
sub_3:Test (Best Model) - Loss: 25.6918 - Accuracy: 0.2714 - F1: 0.2099
sub_3:Test (Best Model) - Loss: 21.7021 - Accuracy: 0.2238 - F1: 0.1569
sub_3:Test (Best Model) - Loss: 26.0664 - Accuracy: 0.2190 - F1: 0.1119
sub_3:Test (Best Model) - Loss: 24.6387 - Accuracy: 0.2238 - F1: 0.1952
sub_3:Test (Best Model) - Loss: 15.5952 - Accuracy: 0.3000 - F1: 0.3099
sub_3:Test (Best Model) - Loss: 15.5788 - Accuracy: 0.2857 - F1: 0.2931
sub_3:Test (Best Model) - Loss: 14.1012 - Accuracy: 0.2429 - F1: 0.2376
sub_3:Test (Best Model) - Loss: 15.8749 - Accuracy: 0.2571 - F1: 0.2516
sub_3:Test (Best Model) - Loss: 20.9507 - Accuracy: 0.2476 - F1: 0.2209
sub_3:Test (Best Model) - Loss: 18.8494 - Accuracy: 0.2524 - F1: 0.2503
sub_3:Test (Best Model) - Loss: 20.0089 - Accuracy: 0.2619 - F1: 0.2637
sub_3:Test (Best Model) - Loss: 17.0683 - Accuracy: 0.2429 - F1: 0.2248
sub_3:Test (Best Model) - Loss: 21.1952 - Accuracy: 0.2429 - F1: 0.2275
sub_4:Test (Best Model) - Loss: 13.5909 - Accuracy: 0.2762 - F1: 0.2547
sub_4:Test (Best Model) - Loss: 21.6082 - Accuracy: 0.3476 - F1: 0.3162
sub_4:Test (Best Model) - Loss: 14.5160 - Accuracy: 0.2762 - F1: 0.2743
sub_4:Test (Best Model) - Loss: 12.5672 - Accuracy: 0.3190 - F1: 0.3022
sub_4:Test (Best Model) - Loss: 12.8036 - Accuracy: 0.3190 - F1: 0.3007
sub_4:Test (Best Model) - Loss: 17.3984 - Accuracy: 0.2571 - F1: 0.2516
sub_4:Test (Best Model) - Loss: 26.5805 - Accuracy: 0.2667 - F1: 0.2045
sub_4:Test (Best Model) - Loss: 24.5269 - Accuracy: 0.2286 - F1: 0.2013
sub_4:Test (Best Model) - Loss: 15.5091 - Accuracy: 0.3667 - F1: 0.3468
sub_4:Test (Best Model) - Loss: 23.7115 - Accuracy: 0.2714 - F1: 0.2204
sub_4:Test (Best Model) - Loss: 12.5555 - Accuracy: 0.3333 - F1: 0.3208
sub_4:Test (Best Model) - Loss: 14.7757 - Accuracy: 0.3476 - F1: 0.3425
sub_4:Test (Best Model) - Loss: 18.8845 - Accuracy: 0.3095 - F1: 0.2719
sub_4:Test (Best Model) - Loss: 12.7062 - Accuracy: 0.3190 - F1: 0.2945
sub_4:Test (Best Model) - Loss: 16.2458 - Accuracy: 0.3714 - F1: 0.3587
sub_5:Test (Best Model) - Loss: 27.6319 - Accuracy: 0.2952 - F1: 0.2451
sub_5:Test (Best Model) - Loss: 19.8175 - Accuracy: 0.3810 - F1: 0.3076
sub_5:Test (Best Model) - Loss: 18.5219 - Accuracy: 0.3667 - F1: 0.3093
sub_5:Test (Best Model) - Loss: 29.6537 - Accuracy: 0.3810 - F1: 0.2957
sub_5:Test (Best Model) - Loss: 17.0850 - Accuracy: 0.3905 - F1: 0.3282
sub_5:Test (Best Model) - Loss: 11.1614 - Accuracy: 0.3810 - F1: 0.3694
sub_5:Test (Best Model) - Loss: 20.9946 - Accuracy: 0.3095 - F1: 0.3038
sub_5:Test (Best Model) - Loss: 13.7610 - Accuracy: 0.3667 - F1: 0.3776
sub_5:Test (Best Model) - Loss: 14.1589 - Accuracy: 0.3286 - F1: 0.3223
sub_5:Test (Best Model) - Loss: 21.0722 - Accuracy: 0.3000 - F1: 0.2967
sub_5:Test (Best Model) - Loss: 15.9341 - Accuracy: 0.3381 - F1: 0.3363
sub_5:Test (Best Model) - Loss: 12.4086 - Accuracy: 0.3190 - F1: 0.3249
sub_5:Test (Best Model) - Loss: 23.7841 - Accuracy: 0.3143 - F1: 0.2681
sub_5:Test (Best Model) - Loss: 12.8603 - Accuracy: 0.2905 - F1: 0.3031
sub_5:Test (Best Model) - Loss: 15.7342 - Accuracy: 0.3143 - F1: 0.3283
sub_6:Test (Best Model) - Loss: 19.1708 - Accuracy: 0.2333 - F1: 0.2291
sub_6:Test (Best Model) - Loss: 19.1232 - Accuracy: 0.2619 - F1: 0.2536
sub_6:Test (Best Model) - Loss: 14.2144 - Accuracy: 0.2952 - F1: 0.2961
sub_6:Test (Best Model) - Loss: 21.9289 - Accuracy: 0.2905 - F1: 0.2822
sub_6:Test (Best Model) - Loss: 17.7563 - Accuracy: 0.2810 - F1: 0.2822
sub_6:Test (Best Model) - Loss: 17.6219 - Accuracy: 0.2333 - F1: 0.2080
sub_6:Test (Best Model) - Loss: 15.9796 - Accuracy: 0.2476 - F1: 0.2420
sub_6:Test (Best Model) - Loss: 18.4748 - Accuracy: 0.2857 - F1: 0.2773
sub_6:Test (Best Model) - Loss: 18.1877 - Accuracy: 0.2238 - F1: 0.2122
sub_6:Test (Best Model) - Loss: 18.9802 - Accuracy: 0.2524 - F1: 0.2301
sub_6:Test (Best Model) - Loss: 11.7263 - Accuracy: 0.3000 - F1: 0.2847
sub_6:Test (Best Model) - Loss: 12.4743 - Accuracy: 0.2619 - F1: 0.2518
sub_6:Test (Best Model) - Loss: 11.8888 - Accuracy: 0.3381 - F1: 0.3230
sub_6:Test (Best Model) - Loss: 11.2830 - Accuracy: 0.2619 - F1: 0.2446
sub_6:Test (Best Model) - Loss: 18.2578 - Accuracy: 0.2333 - F1: 0.2278
sub_7:Test (Best Model) - Loss: 16.4021 - Accuracy: 0.2429 - F1: 0.2082
sub_7:Test (Best Model) - Loss: 20.2310 - Accuracy: 0.2714 - F1: 0.2443
sub_7:Test (Best Model) - Loss: 16.4715 - Accuracy: 0.2190 - F1: 0.1712
sub_7:Test (Best Model) - Loss: 18.1787 - Accuracy: 0.2381 - F1: 0.2389
sub_7:Test (Best Model) - Loss: 15.9357 - Accuracy: 0.2476 - F1: 0.1862
sub_7:Test (Best Model) - Loss: 15.9837 - Accuracy: 0.2333 - F1: 0.2237
sub_7:Test (Best Model) - Loss: 17.4637 - Accuracy: 0.2619 - F1: 0.2392
sub_7:Test (Best Model) - Loss: 14.6611 - Accuracy: 0.2619 - F1: 0.2537
sub_7:Test (Best Model) - Loss: 15.4889 - Accuracy: 0.2333 - F1: 0.2171
sub_7:Test (Best Model) - Loss: 19.2116 - Accuracy: 0.2095 - F1: 0.1908
sub_7:Test (Best Model) - Loss: 20.4501 - Accuracy: 0.2571 - F1: 0.2282
sub_7:Test (Best Model) - Loss: 12.5199 - Accuracy: 0.2381 - F1: 0.2215
sub_7:Test (Best Model) - Loss: 17.8172 - Accuracy: 0.1952 - F1: 0.1959
sub_7:Test (Best Model) - Loss: 10.8673 - Accuracy: 0.2238 - F1: 0.2157
sub_7:Test (Best Model) - Loss: 15.9013 - Accuracy: 0.2476 - F1: 0.2416
sub_8:Test (Best Model) - Loss: 16.0880 - Accuracy: 0.3476 - F1: 0.3294
sub_8:Test (Best Model) - Loss: 14.0498 - Accuracy: 0.3762 - F1: 0.3373
sub_8:Test (Best Model) - Loss: 21.0553 - Accuracy: 0.3571 - F1: 0.3069
sub_8:Test (Best Model) - Loss: 16.1039 - Accuracy: 0.3762 - F1: 0.3607
sub_8:Test (Best Model) - Loss: 15.2025 - Accuracy: 0.3619 - F1: 0.3407
sub_8:Test (Best Model) - Loss: 11.8331 - Accuracy: 0.3762 - F1: 0.3752
sub_8:Test (Best Model) - Loss: 17.1752 - Accuracy: 0.2571 - F1: 0.2663
sub_8:Test (Best Model) - Loss: 18.3250 - Accuracy: 0.2619 - F1: 0.2798
sub_8:Test (Best Model) - Loss: 14.3158 - Accuracy: 0.3952 - F1: 0.4062
sub_8:Test (Best Model) - Loss: 9.1574 - Accuracy: 0.3571 - F1: 0.3741
sub_8:Test (Best Model) - Loss: 21.1960 - Accuracy: 0.2810 - F1: 0.2712
sub_8:Test (Best Model) - Loss: 14.3908 - Accuracy: 0.2762 - F1: 0.2866
sub_8:Test (Best Model) - Loss: 17.2426 - Accuracy: 0.3238 - F1: 0.3265
sub_8:Test (Best Model) - Loss: 16.0657 - Accuracy: 0.3286 - F1: 0.3215
sub_8:Test (Best Model) - Loss: 22.4598 - Accuracy: 0.2619 - F1: 0.2759
sub_9:Test (Best Model) - Loss: 18.7263 - Accuracy: 0.3333 - F1: 0.3163
sub_9:Test (Best Model) - Loss: 18.0324 - Accuracy: 0.3476 - F1: 0.3022
sub_9:Test (Best Model) - Loss: 17.9804 - Accuracy: 0.3667 - F1: 0.3503
sub_9:Test (Best Model) - Loss: 16.4499 - Accuracy: 0.3857 - F1: 0.3647
sub_9:Test (Best Model) - Loss: 19.5414 - Accuracy: 0.3524 - F1: 0.3174
sub_9:Test (Best Model) - Loss: 13.1887 - Accuracy: 0.2619 - F1: 0.2568
sub_9:Test (Best Model) - Loss: 12.9546 - Accuracy: 0.3381 - F1: 0.3057
sub_9:Test (Best Model) - Loss: 19.2710 - Accuracy: 0.2619 - F1: 0.2456
sub_9:Test (Best Model) - Loss: 11.6820 - Accuracy: 0.3095 - F1: 0.2947
sub_9:Test (Best Model) - Loss: 16.8174 - Accuracy: 0.4048 - F1: 0.3582
sub_9:Test (Best Model) - Loss: 26.4877 - Accuracy: 0.2238 - F1: 0.2082
sub_9:Test (Best Model) - Loss: 18.2857 - Accuracy: 0.2667 - F1: 0.2574
sub_9:Test (Best Model) - Loss: 15.5480 - Accuracy: 0.2476 - F1: 0.2419
sub_9:Test (Best Model) - Loss: 12.3361 - Accuracy: 0.3048 - F1: 0.3134
sub_9:Test (Best Model) - Loss: 10.2000 - Accuracy: 0.3429 - F1: 0.3550
sub_10:Test (Best Model) - Loss: 14.0564 - Accuracy: 0.3095 - F1: 0.2943
sub_10:Test (Best Model) - Loss: 11.4074 - Accuracy: 0.3143 - F1: 0.3159
sub_10:Test (Best Model) - Loss: 14.5859 - Accuracy: 0.2714 - F1: 0.2678
sub_10:Test (Best Model) - Loss: 18.9524 - Accuracy: 0.2857 - F1: 0.2710
sub_10:Test (Best Model) - Loss: 19.1801 - Accuracy: 0.3190 - F1: 0.3095
sub_10:Test (Best Model) - Loss: 18.3221 - Accuracy: 0.2714 - F1: 0.2536
sub_10:Test (Best Model) - Loss: 15.0492 - Accuracy: 0.2619 - F1: 0.2523
sub_10:Test (Best Model) - Loss: 15.6900 - Accuracy: 0.2571 - F1: 0.2549
sub_10:Test (Best Model) - Loss: 12.4322 - Accuracy: 0.3095 - F1: 0.2987
sub_10:Test (Best Model) - Loss: 16.6922 - Accuracy: 0.2667 - F1: 0.2587
sub_10:Test (Best Model) - Loss: 17.3636 - Accuracy: 0.3095 - F1: 0.2952
sub_10:Test (Best Model) - Loss: 14.0355 - Accuracy: 0.2238 - F1: 0.2251
sub_10:Test (Best Model) - Loss: 14.6063 - Accuracy: 0.3048 - F1: 0.2936
sub_10:Test (Best Model) - Loss: 11.8103 - Accuracy: 0.2905 - F1: 0.2915
sub_10:Test (Best Model) - Loss: 13.2358 - Accuracy: 0.2524 - F1: 0.2552
sub_11:Test (Best Model) - Loss: 16.8790 - Accuracy: 0.2190 - F1: 0.2149
sub_11:Test (Best Model) - Loss: 14.5048 - Accuracy: 0.2810 - F1: 0.2837
sub_11:Test (Best Model) - Loss: 15.3316 - Accuracy: 0.2571 - F1: 0.2395
sub_11:Test (Best Model) - Loss: 16.5699 - Accuracy: 0.2762 - F1: 0.2276
sub_11:Test (Best Model) - Loss: 21.8590 - Accuracy: 0.2905 - F1: 0.2385
sub_11:Test (Best Model) - Loss: 17.4981 - Accuracy: 0.2619 - F1: 0.2513
sub_11:Test (Best Model) - Loss: 17.2677 - Accuracy: 0.2952 - F1: 0.2917
sub_11:Test (Best Model) - Loss: 17.3820 - Accuracy: 0.2381 - F1: 0.2425
sub_11:Test (Best Model) - Loss: 18.5428 - Accuracy: 0.2810 - F1: 0.2590
sub_11:Test (Best Model) - Loss: 16.4745 - Accuracy: 0.3000 - F1: 0.2680
sub_11:Test (Best Model) - Loss: 15.0511 - Accuracy: 0.2762 - F1: 0.2910
sub_11:Test (Best Model) - Loss: 18.1237 - Accuracy: 0.2857 - F1: 0.2807
sub_11:Test (Best Model) - Loss: 16.9413 - Accuracy: 0.3476 - F1: 0.3358
sub_11:Test (Best Model) - Loss: 14.5050 - Accuracy: 0.2667 - F1: 0.2802
sub_11:Test (Best Model) - Loss: 10.7018 - Accuracy: 0.3429 - F1: 0.3400
sub_12:Test (Best Model) - Loss: 12.5588 - Accuracy: 0.3333 - F1: 0.3235
sub_12:Test (Best Model) - Loss: 13.2976 - Accuracy: 0.3190 - F1: 0.2951
sub_12:Test (Best Model) - Loss: 15.5171 - Accuracy: 0.3381 - F1: 0.3226
sub_12:Test (Best Model) - Loss: 13.9400 - Accuracy: 0.3429 - F1: 0.3374
sub_12:Test (Best Model) - Loss: 13.8596 - Accuracy: 0.3143 - F1: 0.3180
sub_12:Test (Best Model) - Loss: 23.9295 - Accuracy: 0.3095 - F1: 0.2447
sub_12:Test (Best Model) - Loss: 25.9930 - Accuracy: 0.2952 - F1: 0.2346
sub_12:Test (Best Model) - Loss: 18.0698 - Accuracy: 0.3143 - F1: 0.2666
sub_12:Test (Best Model) - Loss: 24.8863 - Accuracy: 0.3143 - F1: 0.2392
sub_12:Test (Best Model) - Loss: 29.0872 - Accuracy: 0.2905 - F1: 0.2224
sub_12:Test (Best Model) - Loss: 26.8728 - Accuracy: 0.2000 - F1: 0.1920
sub_12:Test (Best Model) - Loss: 23.5747 - Accuracy: 0.3048 - F1: 0.3176
sub_12:Test (Best Model) - Loss: 22.4370 - Accuracy: 0.2190 - F1: 0.2016
sub_12:Test (Best Model) - Loss: 16.7837 - Accuracy: 0.2857 - F1: 0.2970
sub_12:Test (Best Model) - Loss: 21.1698 - Accuracy: 0.3143 - F1: 0.3308
sub_13:Test (Best Model) - Loss: 15.8402 - Accuracy: 0.2571 - F1: 0.2306
sub_13:Test (Best Model) - Loss: 13.2465 - Accuracy: 0.2571 - F1: 0.2489
sub_13:Test (Best Model) - Loss: 13.7896 - Accuracy: 0.2810 - F1: 0.2610
sub_13:Test (Best Model) - Loss: 13.6091 - Accuracy: 0.2714 - F1: 0.2562
sub_13:Test (Best Model) - Loss: 14.9759 - Accuracy: 0.2905 - F1: 0.2647
sub_13:Test (Best Model) - Loss: 15.5091 - Accuracy: 0.2762 - F1: 0.2610
sub_13:Test (Best Model) - Loss: 16.8989 - Accuracy: 0.2286 - F1: 0.2303
sub_13:Test (Best Model) - Loss: 14.3214 - Accuracy: 0.2333 - F1: 0.2346
sub_13:Test (Best Model) - Loss: 13.8254 - Accuracy: 0.2857 - F1: 0.2636
sub_13:Test (Best Model) - Loss: 13.5238 - Accuracy: 0.3190 - F1: 0.3139
sub_13:Test (Best Model) - Loss: 10.8848 - Accuracy: 0.2762 - F1: 0.2576
sub_13:Test (Best Model) - Loss: 11.3694 - Accuracy: 0.2571 - F1: 0.2524
sub_13:Test (Best Model) - Loss: 10.5306 - Accuracy: 0.2714 - F1: 0.2474
sub_13:Test (Best Model) - Loss: 15.3412 - Accuracy: 0.2095 - F1: 0.1784
sub_13:Test (Best Model) - Loss: 15.3809 - Accuracy: 0.2571 - F1: 0.2376
sub_14:Test (Best Model) - Loss: 16.2139 - Accuracy: 0.4095 - F1: 0.4090
sub_14:Test (Best Model) - Loss: 17.6778 - Accuracy: 0.2857 - F1: 0.3061
sub_14:Test (Best Model) - Loss: 20.7916 - Accuracy: 0.3143 - F1: 0.3315
sub_14:Test (Best Model) - Loss: 17.7834 - Accuracy: 0.3476 - F1: 0.3537
sub_14:Test (Best Model) - Loss: 22.2277 - Accuracy: 0.2810 - F1: 0.2713
sub_14:Test (Best Model) - Loss: 14.3179 - Accuracy: 0.3714 - F1: 0.3455
sub_14:Test (Best Model) - Loss: 13.1247 - Accuracy: 0.3286 - F1: 0.3165
sub_14:Test (Best Model) - Loss: 16.4894 - Accuracy: 0.3238 - F1: 0.2874
sub_14:Test (Best Model) - Loss: 13.1494 - Accuracy: 0.3429 - F1: 0.3136
sub_14:Test (Best Model) - Loss: 24.0741 - Accuracy: 0.3667 - F1: 0.3389
sub_14:Test (Best Model) - Loss: 21.1807 - Accuracy: 0.2905 - F1: 0.2792
sub_14:Test (Best Model) - Loss: 13.7769 - Accuracy: 0.3286 - F1: 0.2925
sub_14:Test (Best Model) - Loss: 17.1383 - Accuracy: 0.2952 - F1: 0.2817
sub_14:Test (Best Model) - Loss: 14.0515 - Accuracy: 0.3429 - F1: 0.3263
sub_14:Test (Best Model) - Loss: 17.0483 - Accuracy: 0.3143 - F1: 0.3149

=== Summary Results ===

acc: 29.63 ± 3.21
F1: 27.92 ± 3.39
acc-in: 37.22 ± 4.14
F1-in: 34.08 ± 4.29
