lr: 0.001
sub_1:Test (Best Model) - Loss: 5.6630 - Accuracy: 0.2952 - F1: 0.2354
sub_1:Test (Best Model) - Loss: 5.8830 - Accuracy: 0.3095 - F1: 0.2420
sub_1:Test (Best Model) - Loss: 6.5331 - Accuracy: 0.3143 - F1: 0.2586
sub_1:Test (Best Model) - Loss: 5.7806 - Accuracy: 0.2857 - F1: 0.2187
sub_1:Test (Best Model) - Loss: 6.5323 - Accuracy: 0.2619 - F1: 0.1824
sub_1:Test (Best Model) - Loss: 3.6420 - Accuracy: 0.3143 - F1: 0.3164
sub_1:Test (Best Model) - Loss: 3.8407 - Accuracy: 0.2952 - F1: 0.2998
sub_1:Test (Best Model) - Loss: 3.4003 - Accuracy: 0.3143 - F1: 0.3176
sub_1:Test (Best Model) - Loss: 3.7139 - Accuracy: 0.2905 - F1: 0.2931
sub_1:Test (Best Model) - Loss: 4.0179 - Accuracy: 0.2762 - F1: 0.2770
sub_1:Test (Best Model) - Loss: 4.1019 - Accuracy: 0.3000 - F1: 0.3054
sub_1:Test (Best Model) - Loss: 3.7255 - Accuracy: 0.3095 - F1: 0.3195
sub_1:Test (Best Model) - Loss: 3.9598 - Accuracy: 0.2857 - F1: 0.2915
sub_1:Test (Best Model) - Loss: 4.4033 - Accuracy: 0.2714 - F1: 0.2754
sub_1:Test (Best Model) - Loss: 3.6702 - Accuracy: 0.2952 - F1: 0.3014
sub_2:Test (Best Model) - Loss: 3.4974 - Accuracy: 0.3000 - F1: 0.2623
sub_2:Test (Best Model) - Loss: 3.5381 - Accuracy: 0.2714 - F1: 0.2419
sub_2:Test (Best Model) - Loss: 3.7714 - Accuracy: 0.3048 - F1: 0.2663
sub_2:Test (Best Model) - Loss: 3.5712 - Accuracy: 0.2952 - F1: 0.2442
sub_2:Test (Best Model) - Loss: 3.6772 - Accuracy: 0.3000 - F1: 0.2415
sub_2:Test (Best Model) - Loss: 4.1943 - Accuracy: 0.3143 - F1: 0.3277
sub_2:Test (Best Model) - Loss: 3.8844 - Accuracy: 0.3048 - F1: 0.3127
sub_2:Test (Best Model) - Loss: 4.1651 - Accuracy: 0.2810 - F1: 0.2807
sub_2:Test (Best Model) - Loss: 3.6045 - Accuracy: 0.3333 - F1: 0.3361
sub_2:Test (Best Model) - Loss: 3.8637 - Accuracy: 0.2905 - F1: 0.2999
sub_2:Test (Best Model) - Loss: 2.9271 - Accuracy: 0.2810 - F1: 0.2934
sub_2:Test (Best Model) - Loss: 3.1730 - Accuracy: 0.3000 - F1: 0.3068
sub_2:Test (Best Model) - Loss: 3.7022 - Accuracy: 0.2571 - F1: 0.2658
sub_2:Test (Best Model) - Loss: 3.5129 - Accuracy: 0.2429 - F1: 0.2522
sub_2:Test (Best Model) - Loss: 3.7586 - Accuracy: 0.3190 - F1: 0.3213
sub_3:Test (Best Model) - Loss: 3.5738 - Accuracy: 0.2429 - F1: 0.1832
sub_3:Test (Best Model) - Loss: 4.2806 - Accuracy: 0.2333 - F1: 0.1591
sub_3:Test (Best Model) - Loss: 3.4870 - Accuracy: 0.2571 - F1: 0.2120
sub_3:Test (Best Model) - Loss: 3.9173 - Accuracy: 0.2524 - F1: 0.2084
sub_3:Test (Best Model) - Loss: 5.9298 - Accuracy: 0.2333 - F1: 0.1337
sub_3:Test (Best Model) - Loss: 3.5864 - Accuracy: 0.2714 - F1: 0.2758
sub_3:Test (Best Model) - Loss: 3.6239 - Accuracy: 0.2571 - F1: 0.2581
sub_3:Test (Best Model) - Loss: 3.1665 - Accuracy: 0.2714 - F1: 0.2719
sub_3:Test (Best Model) - Loss: 3.4597 - Accuracy: 0.3095 - F1: 0.3029
sub_3:Test (Best Model) - Loss: 3.4975 - Accuracy: 0.2667 - F1: 0.2706
sub_3:Test (Best Model) - Loss: 4.6763 - Accuracy: 0.2286 - F1: 0.2226
sub_3:Test (Best Model) - Loss: 4.2473 - Accuracy: 0.2429 - F1: 0.2422
sub_3:Test (Best Model) - Loss: 3.9105 - Accuracy: 0.3143 - F1: 0.3005
sub_3:Test (Best Model) - Loss: 4.3625 - Accuracy: 0.2190 - F1: 0.2159
sub_3:Test (Best Model) - Loss: 5.0567 - Accuracy: 0.2476 - F1: 0.2311
sub_4:Test (Best Model) - Loss: 3.9034 - Accuracy: 0.3000 - F1: 0.2938
sub_4:Test (Best Model) - Loss: 4.3230 - Accuracy: 0.2429 - F1: 0.2427
sub_4:Test (Best Model) - Loss: 3.7656 - Accuracy: 0.2476 - F1: 0.2468
sub_4:Test (Best Model) - Loss: 3.5422 - Accuracy: 0.2238 - F1: 0.2243
sub_4:Test (Best Model) - Loss: 3.8653 - Accuracy: 0.2333 - F1: 0.2329
sub_4:Test (Best Model) - Loss: 4.6979 - Accuracy: 0.2762 - F1: 0.2604
sub_4:Test (Best Model) - Loss: 4.9240 - Accuracy: 0.2905 - F1: 0.2915
sub_4:Test (Best Model) - Loss: 4.1561 - Accuracy: 0.2857 - F1: 0.2886
sub_4:Test (Best Model) - Loss: 4.4577 - Accuracy: 0.3190 - F1: 0.3211
sub_4:Test (Best Model) - Loss: 4.5259 - Accuracy: 0.2952 - F1: 0.2822
sub_4:Test (Best Model) - Loss: 3.3639 - Accuracy: 0.3333 - F1: 0.3320
sub_4:Test (Best Model) - Loss: 4.0830 - Accuracy: 0.2095 - F1: 0.2051
sub_4:Test (Best Model) - Loss: 3.5714 - Accuracy: 0.3286 - F1: 0.2927
sub_4:Test (Best Model) - Loss: 3.9849 - Accuracy: 0.2714 - F1: 0.2670
sub_4:Test (Best Model) - Loss: 3.4466 - Accuracy: 0.3095 - F1: 0.3001
sub_5:Test (Best Model) - Loss: 5.1876 - Accuracy: 0.3286 - F1: 0.2805
sub_5:Test (Best Model) - Loss: 5.5532 - Accuracy: 0.2952 - F1: 0.2491
sub_5:Test (Best Model) - Loss: 3.8931 - Accuracy: 0.3762 - F1: 0.3317
sub_5:Test (Best Model) - Loss: 4.2719 - Accuracy: 0.3619 - F1: 0.3077
sub_5:Test (Best Model) - Loss: 5.0570 - Accuracy: 0.3190 - F1: 0.2548
sub_5:Test (Best Model) - Loss: 3.3348 - Accuracy: 0.2905 - F1: 0.2962
sub_5:Test (Best Model) - Loss: 3.8802 - Accuracy: 0.2619 - F1: 0.2780
sub_5:Test (Best Model) - Loss: 3.5477 - Accuracy: 0.3190 - F1: 0.3241
sub_5:Test (Best Model) - Loss: 3.3483 - Accuracy: 0.3095 - F1: 0.3170
sub_5:Test (Best Model) - Loss: 3.9049 - Accuracy: 0.3000 - F1: 0.3069
sub_5:Test (Best Model) - Loss: 3.1183 - Accuracy: 0.2810 - F1: 0.2969
sub_5:Test (Best Model) - Loss: 3.0963 - Accuracy: 0.3286 - F1: 0.3415
sub_5:Test (Best Model) - Loss: 3.2319 - Accuracy: 0.3000 - F1: 0.3106
sub_5:Test (Best Model) - Loss: 3.0369 - Accuracy: 0.2333 - F1: 0.2423
sub_5:Test (Best Model) - Loss: 2.9162 - Accuracy: 0.2952 - F1: 0.3120
sub_6:Test (Best Model) - Loss: 4.7586 - Accuracy: 0.2000 - F1: 0.1901
sub_6:Test (Best Model) - Loss: 3.9716 - Accuracy: 0.2143 - F1: 0.2126
sub_6:Test (Best Model) - Loss: 3.6553 - Accuracy: 0.2333 - F1: 0.2351
sub_6:Test (Best Model) - Loss: 4.4695 - Accuracy: 0.2524 - F1: 0.2513
sub_6:Test (Best Model) - Loss: 3.7622 - Accuracy: 0.2333 - F1: 0.2299
sub_6:Test (Best Model) - Loss: 4.1604 - Accuracy: 0.2619 - F1: 0.2582
sub_6:Test (Best Model) - Loss: 4.9544 - Accuracy: 0.2524 - F1: 0.2516
sub_6:Test (Best Model) - Loss: 4.0103 - Accuracy: 0.2524 - F1: 0.2463
sub_6:Test (Best Model) - Loss: 4.8055 - Accuracy: 0.1810 - F1: 0.1774
sub_6:Test (Best Model) - Loss: 3.6760 - Accuracy: 0.2571 - F1: 0.2483
sub_6:Test (Best Model) - Loss: 3.1809 - Accuracy: 0.3095 - F1: 0.3085
sub_6:Test (Best Model) - Loss: 3.4653 - Accuracy: 0.2095 - F1: 0.2126
sub_6:Test (Best Model) - Loss: 3.6149 - Accuracy: 0.2762 - F1: 0.2661
sub_6:Test (Best Model) - Loss: 3.6064 - Accuracy: 0.2381 - F1: 0.2289
sub_6:Test (Best Model) - Loss: 3.5202 - Accuracy: 0.2571 - F1: 0.2567
sub_7:Test (Best Model) - Loss: 4.3684 - Accuracy: 0.2286 - F1: 0.2163
sub_7:Test (Best Model) - Loss: 4.0339 - Accuracy: 0.2333 - F1: 0.2309
sub_7:Test (Best Model) - Loss: 4.4890 - Accuracy: 0.2619 - F1: 0.2476
sub_7:Test (Best Model) - Loss: 5.0541 - Accuracy: 0.2000 - F1: 0.1968
sub_7:Test (Best Model) - Loss: 4.7734 - Accuracy: 0.1905 - F1: 0.1682
sub_7:Test (Best Model) - Loss: 3.8230 - Accuracy: 0.2095 - F1: 0.2073
sub_7:Test (Best Model) - Loss: 4.3157 - Accuracy: 0.1905 - F1: 0.1940
sub_7:Test (Best Model) - Loss: 3.7120 - Accuracy: 0.2095 - F1: 0.2129
sub_7:Test (Best Model) - Loss: 3.6793 - Accuracy: 0.2095 - F1: 0.2106
sub_7:Test (Best Model) - Loss: 4.3420 - Accuracy: 0.1667 - F1: 0.1677
sub_7:Test (Best Model) - Loss: 3.6819 - Accuracy: 0.2476 - F1: 0.2476
sub_7:Test (Best Model) - Loss: 3.6892 - Accuracy: 0.2000 - F1: 0.1982
sub_7:Test (Best Model) - Loss: 3.4388 - Accuracy: 0.2143 - F1: 0.2087
sub_7:Test (Best Model) - Loss: 3.9227 - Accuracy: 0.1905 - F1: 0.1909
sub_7:Test (Best Model) - Loss: 3.7806 - Accuracy: 0.2190 - F1: 0.2183
sub_8:Test (Best Model) - Loss: 3.5929 - Accuracy: 0.4048 - F1: 0.3779
sub_8:Test (Best Model) - Loss: 3.5853 - Accuracy: 0.3429 - F1: 0.3188
sub_8:Test (Best Model) - Loss: 3.6956 - Accuracy: 0.3619 - F1: 0.3371
sub_8:Test (Best Model) - Loss: 3.6560 - Accuracy: 0.3238 - F1: 0.3109
sub_8:Test (Best Model) - Loss: 3.6040 - Accuracy: 0.3381 - F1: 0.3170
sub_8:Test (Best Model) - Loss: 3.6763 - Accuracy: 0.3429 - F1: 0.3561
sub_8:Test (Best Model) - Loss: 3.4507 - Accuracy: 0.2952 - F1: 0.3055
sub_8:Test (Best Model) - Loss: 3.7938 - Accuracy: 0.3000 - F1: 0.3122
sub_8:Test (Best Model) - Loss: 3.6789 - Accuracy: 0.3286 - F1: 0.3411
sub_8:Test (Best Model) - Loss: 3.5312 - Accuracy: 0.3333 - F1: 0.3484
sub_8:Test (Best Model) - Loss: 4.1706 - Accuracy: 0.2571 - F1: 0.2684
sub_8:Test (Best Model) - Loss: 3.7626 - Accuracy: 0.2857 - F1: 0.2913
sub_8:Test (Best Model) - Loss: 3.4632 - Accuracy: 0.2905 - F1: 0.2952
sub_8:Test (Best Model) - Loss: 3.4907 - Accuracy: 0.3476 - F1: 0.3365
sub_8:Test (Best Model) - Loss: 4.7059 - Accuracy: 0.2667 - F1: 0.2690
sub_9:Test (Best Model) - Loss: 4.3357 - Accuracy: 0.2286 - F1: 0.2139
sub_9:Test (Best Model) - Loss: 4.0355 - Accuracy: 0.2333 - F1: 0.2276
sub_9:Test (Best Model) - Loss: 3.8939 - Accuracy: 0.2619 - F1: 0.2461
sub_9:Test (Best Model) - Loss: 4.4098 - Accuracy: 0.2095 - F1: 0.1924
sub_9:Test (Best Model) - Loss: 4.4027 - Accuracy: 0.2476 - F1: 0.2226
sub_9:Test (Best Model) - Loss: 4.0385 - Accuracy: 0.2333 - F1: 0.2324
sub_9:Test (Best Model) - Loss: 3.9131 - Accuracy: 0.2571 - F1: 0.2582
sub_9:Test (Best Model) - Loss: 4.0969 - Accuracy: 0.2048 - F1: 0.2040
sub_9:Test (Best Model) - Loss: 3.7980 - Accuracy: 0.2476 - F1: 0.2439
sub_9:Test (Best Model) - Loss: 3.7231 - Accuracy: 0.2143 - F1: 0.2069
sub_9:Test (Best Model) - Loss: 4.8283 - Accuracy: 0.2286 - F1: 0.2275
sub_9:Test (Best Model) - Loss: 3.2717 - Accuracy: 0.3190 - F1: 0.3257
sub_9:Test (Best Model) - Loss: 3.8478 - Accuracy: 0.2905 - F1: 0.2989
sub_9:Test (Best Model) - Loss: 3.7448 - Accuracy: 0.2952 - F1: 0.3055
sub_9:Test (Best Model) - Loss: 3.9092 - Accuracy: 0.2667 - F1: 0.2732
sub_10:Test (Best Model) - Loss: 4.0893 - Accuracy: 0.2333 - F1: 0.2284
sub_10:Test (Best Model) - Loss: 3.7612 - Accuracy: 0.2619 - F1: 0.2618
sub_10:Test (Best Model) - Loss: 4.0297 - Accuracy: 0.2667 - F1: 0.2611
sub_10:Test (Best Model) - Loss: 3.7154 - Accuracy: 0.2381 - F1: 0.2295
sub_10:Test (Best Model) - Loss: 3.4348 - Accuracy: 0.2476 - F1: 0.2401
sub_10:Test (Best Model) - Loss: 3.9565 - Accuracy: 0.2190 - F1: 0.2110
sub_10:Test (Best Model) - Loss: 3.6871 - Accuracy: 0.2190 - F1: 0.2161
sub_10:Test (Best Model) - Loss: 3.6282 - Accuracy: 0.2762 - F1: 0.2679
sub_10:Test (Best Model) - Loss: 3.7421 - Accuracy: 0.2476 - F1: 0.2454
sub_10:Test (Best Model) - Loss: 3.6579 - Accuracy: 0.2143 - F1: 0.2104
sub_10:Test (Best Model) - Loss: 4.1626 - Accuracy: 0.2190 - F1: 0.2123
sub_10:Test (Best Model) - Loss: 3.4696 - Accuracy: 0.2619 - F1: 0.2599
sub_10:Test (Best Model) - Loss: 4.1522 - Accuracy: 0.2286 - F1: 0.2222
sub_10:Test (Best Model) - Loss: 3.8974 - Accuracy: 0.2190 - F1: 0.2173
sub_10:Test (Best Model) - Loss: 4.1848 - Accuracy: 0.2333 - F1: 0.2355
sub_11:Test (Best Model) - Loss: 4.2253 - Accuracy: 0.1905 - F1: 0.1817
sub_11:Test (Best Model) - Loss: 4.2907 - Accuracy: 0.2429 - F1: 0.2373
sub_11:Test (Best Model) - Loss: 4.3461 - Accuracy: 0.2095 - F1: 0.2030
sub_11:Test (Best Model) - Loss: 4.4197 - Accuracy: 0.2143 - F1: 0.2041
sub_11:Test (Best Model) - Loss: 4.0511 - Accuracy: 0.2905 - F1: 0.2809
sub_11:Test (Best Model) - Loss: 3.6843 - Accuracy: 0.2333 - F1: 0.2366
sub_11:Test (Best Model) - Loss: 3.9613 - Accuracy: 0.2810 - F1: 0.2861
sub_11:Test (Best Model) - Loss: 3.3151 - Accuracy: 0.2810 - F1: 0.2823
sub_11:Test (Best Model) - Loss: 3.8204 - Accuracy: 0.2619 - F1: 0.2626
sub_11:Test (Best Model) - Loss: 4.3366 - Accuracy: 0.2810 - F1: 0.2834
sub_11:Test (Best Model) - Loss: 3.6382 - Accuracy: 0.2810 - F1: 0.2838
sub_11:Test (Best Model) - Loss: 3.5076 - Accuracy: 0.3000 - F1: 0.3015
sub_11:Test (Best Model) - Loss: 3.1137 - Accuracy: 0.2905 - F1: 0.2893
sub_11:Test (Best Model) - Loss: 3.6951 - Accuracy: 0.2952 - F1: 0.2930
sub_11:Test (Best Model) - Loss: 3.9541 - Accuracy: 0.2857 - F1: 0.2877
sub_12:Test (Best Model) - Loss: 3.8391 - Accuracy: 0.2667 - F1: 0.2828
sub_12:Test (Best Model) - Loss: 3.4217 - Accuracy: 0.2476 - F1: 0.2551
sub_12:Test (Best Model) - Loss: 3.1879 - Accuracy: 0.3333 - F1: 0.3358
sub_12:Test (Best Model) - Loss: 2.6550 - Accuracy: 0.3714 - F1: 0.3799
sub_12:Test (Best Model) - Loss: 3.3837 - Accuracy: 0.2714 - F1: 0.2887
sub_12:Test (Best Model) - Loss: 5.1277 - Accuracy: 0.2810 - F1: 0.2242
sub_12:Test (Best Model) - Loss: 5.5880 - Accuracy: 0.2810 - F1: 0.2179
sub_12:Test (Best Model) - Loss: 4.1782 - Accuracy: 0.3048 - F1: 0.2623
sub_12:Test (Best Model) - Loss: 4.7981 - Accuracy: 0.3238 - F1: 0.2705
sub_12:Test (Best Model) - Loss: 4.5259 - Accuracy: 0.2714 - F1: 0.2230
sub_12:Test (Best Model) - Loss: 5.5421 - Accuracy: 0.2524 - F1: 0.2620
sub_12:Test (Best Model) - Loss: 5.6069 - Accuracy: 0.2571 - F1: 0.2734
sub_12:Test (Best Model) - Loss: 5.0908 - Accuracy: 0.2381 - F1: 0.2464
sub_12:Test (Best Model) - Loss: 4.5784 - Accuracy: 0.2762 - F1: 0.2826
sub_12:Test (Best Model) - Loss: 5.6523 - Accuracy: 0.2381 - F1: 0.2471
sub_13:Test (Best Model) - Loss: 3.2537 - Accuracy: 0.3190 - F1: 0.3109
sub_13:Test (Best Model) - Loss: 5.4323 - Accuracy: 0.2048 - F1: 0.1875
sub_13:Test (Best Model) - Loss: 3.7281 - Accuracy: 0.2857 - F1: 0.2858
sub_13:Test (Best Model) - Loss: 3.8034 - Accuracy: 0.2286 - F1: 0.2173
sub_13:Test (Best Model) - Loss: 3.7637 - Accuracy: 0.2476 - F1: 0.2386
sub_13:Test (Best Model) - Loss: 4.6302 - Accuracy: 0.2333 - F1: 0.2298
sub_13:Test (Best Model) - Loss: 4.6650 - Accuracy: 0.2381 - F1: 0.2363
sub_13:Test (Best Model) - Loss: 4.3537 - Accuracy: 0.1857 - F1: 0.1851
sub_13:Test (Best Model) - Loss: 4.0939 - Accuracy: 0.2524 - F1: 0.2508
sub_13:Test (Best Model) - Loss: 3.8351 - Accuracy: 0.2571 - F1: 0.2601
sub_13:Test (Best Model) - Loss: 4.5126 - Accuracy: 0.2238 - F1: 0.2130
sub_13:Test (Best Model) - Loss: 4.0788 - Accuracy: 0.2524 - F1: 0.2412
sub_13:Test (Best Model) - Loss: 4.9986 - Accuracy: 0.2381 - F1: 0.2304
sub_13:Test (Best Model) - Loss: 4.8299 - Accuracy: 0.2476 - F1: 0.2296
sub_13:Test (Best Model) - Loss: 4.6247 - Accuracy: 0.2286 - F1: 0.2028
sub_14:Test (Best Model) - Loss: 4.3160 - Accuracy: 0.2714 - F1: 0.2896
sub_14:Test (Best Model) - Loss: 4.1788 - Accuracy: 0.2762 - F1: 0.2955
sub_14:Test (Best Model) - Loss: 3.6653 - Accuracy: 0.3429 - F1: 0.3579
sub_14:Test (Best Model) - Loss: 4.3668 - Accuracy: 0.3238 - F1: 0.3337
sub_14:Test (Best Model) - Loss: 4.7761 - Accuracy: 0.2238 - F1: 0.2301
sub_14:Test (Best Model) - Loss: 3.7825 - Accuracy: 0.3333 - F1: 0.3214
sub_14:Test (Best Model) - Loss: 3.7189 - Accuracy: 0.3048 - F1: 0.3005
sub_14:Test (Best Model) - Loss: 3.5613 - Accuracy: 0.3333 - F1: 0.3181
sub_14:Test (Best Model) - Loss: 3.8054 - Accuracy: 0.3190 - F1: 0.3159
sub_14:Test (Best Model) - Loss: 4.1287 - Accuracy: 0.3048 - F1: 0.2951
sub_14:Test (Best Model) - Loss: 3.4051 - Accuracy: 0.2857 - F1: 0.2653
sub_14:Test (Best Model) - Loss: 3.7174 - Accuracy: 0.2857 - F1: 0.2551
sub_14:Test (Best Model) - Loss: 3.6931 - Accuracy: 0.2857 - F1: 0.2656
sub_14:Test (Best Model) - Loss: 3.2697 - Accuracy: 0.2762 - F1: 0.2646
sub_14:Test (Best Model) - Loss: 3.6201 - Accuracy: 0.3381 - F1: 0.3102

=== Summary Results ===

acc: 26.99 ± 3.02
F1: 26.18 ± 2.99
acc-in: 32.57 ± 3.59
F1-in: 31.81 ± 3.60
