lr: 0.0001
sub_1:Test (Best Model) - Loss: 2.5272 - Accuracy: 0.2905 - F1: 0.2331
sub_1:Test (Best Model) - Loss: 3.2616 - Accuracy: 0.3381 - F1: 0.2840
sub_1:Test (Best Model) - Loss: 2.8797 - Accuracy: 0.3000 - F1: 0.2497
sub_1:Test (Best Model) - Loss: 2.5063 - Accuracy: 0.2762 - F1: 0.2139
sub_1:Test (Best Model) - Loss: 3.0210 - Accuracy: 0.2714 - F1: 0.2232
sub_1:Test (Best Model) - Loss: 2.1175 - Accuracy: 0.3190 - F1: 0.3259
sub_1:Test (Best Model) - Loss: 2.0201 - Accuracy: 0.3476 - F1: 0.3508
sub_1:Test (Best Model) - Loss: 2.0423 - Accuracy: 0.3381 - F1: 0.3433
sub_1:Test (Best Model) - Loss: 1.8400 - Accuracy: 0.3429 - F1: 0.3493
sub_1:Test (Best Model) - Loss: 2.2216 - Accuracy: 0.3190 - F1: 0.3195
sub_1:Test (Best Model) - Loss: 1.9266 - Accuracy: 0.2810 - F1: 0.2818
sub_1:Test (Best Model) - Loss: 1.9639 - Accuracy: 0.2714 - F1: 0.2768
sub_1:Test (Best Model) - Loss: 2.0979 - Accuracy: 0.3000 - F1: 0.2985
sub_1:Test (Best Model) - Loss: 2.0621 - Accuracy: 0.2619 - F1: 0.2706
sub_1:Test (Best Model) - Loss: 2.0493 - Accuracy: 0.2857 - F1: 0.2893
sub_2:Test (Best Model) - Loss: 2.1023 - Accuracy: 0.3000 - F1: 0.2613
sub_2:Test (Best Model) - Loss: 2.0406 - Accuracy: 0.3143 - F1: 0.2904
sub_2:Test (Best Model) - Loss: 2.1548 - Accuracy: 0.3048 - F1: 0.2749
sub_2:Test (Best Model) - Loss: 2.1571 - Accuracy: 0.3286 - F1: 0.2840
sub_2:Test (Best Model) - Loss: 1.9916 - Accuracy: 0.2905 - F1: 0.2330
sub_2:Test (Best Model) - Loss: 2.2248 - Accuracy: 0.3429 - F1: 0.3569
sub_2:Test (Best Model) - Loss: 1.9862 - Accuracy: 0.2952 - F1: 0.3086
sub_2:Test (Best Model) - Loss: 1.8957 - Accuracy: 0.3190 - F1: 0.3196
sub_2:Test (Best Model) - Loss: 2.0407 - Accuracy: 0.3190 - F1: 0.3173
sub_2:Test (Best Model) - Loss: 2.1910 - Accuracy: 0.2905 - F1: 0.3028
sub_2:Test (Best Model) - Loss: 2.1213 - Accuracy: 0.3000 - F1: 0.3066
sub_2:Test (Best Model) - Loss: 2.1685 - Accuracy: 0.2762 - F1: 0.2851
sub_2:Test (Best Model) - Loss: 2.2885 - Accuracy: 0.2619 - F1: 0.2696
sub_2:Test (Best Model) - Loss: 2.4862 - Accuracy: 0.2524 - F1: 0.2622
sub_2:Test (Best Model) - Loss: 2.2267 - Accuracy: 0.3000 - F1: 0.3089
sub_3:Test (Best Model) - Loss: 2.2648 - Accuracy: 0.2667 - F1: 0.2066
sub_3:Test (Best Model) - Loss: 2.4726 - Accuracy: 0.2714 - F1: 0.1944
sub_3:Test (Best Model) - Loss: 2.4929 - Accuracy: 0.2762 - F1: 0.2138
sub_3:Test (Best Model) - Loss: 2.1899 - Accuracy: 0.2857 - F1: 0.2303
sub_3:Test (Best Model) - Loss: 2.4748 - Accuracy: 0.2429 - F1: 0.1455
sub_3:Test (Best Model) - Loss: 2.4186 - Accuracy: 0.2762 - F1: 0.2791
sub_3:Test (Best Model) - Loss: 2.3846 - Accuracy: 0.2714 - F1: 0.2743
sub_3:Test (Best Model) - Loss: 2.2104 - Accuracy: 0.3238 - F1: 0.3192
sub_3:Test (Best Model) - Loss: 2.0065 - Accuracy: 0.3048 - F1: 0.3022
sub_3:Test (Best Model) - Loss: 2.5500 - Accuracy: 0.3000 - F1: 0.2988
sub_3:Test (Best Model) - Loss: 2.1543 - Accuracy: 0.2476 - F1: 0.2478
sub_3:Test (Best Model) - Loss: 2.3179 - Accuracy: 0.2381 - F1: 0.2219
sub_3:Test (Best Model) - Loss: 2.7031 - Accuracy: 0.2714 - F1: 0.2593
sub_3:Test (Best Model) - Loss: 2.3023 - Accuracy: 0.2667 - F1: 0.2544
sub_3:Test (Best Model) - Loss: 2.1006 - Accuracy: 0.2476 - F1: 0.2260
sub_4:Test (Best Model) - Loss: 2.0950 - Accuracy: 0.2476 - F1: 0.2380
sub_4:Test (Best Model) - Loss: 2.3561 - Accuracy: 0.2524 - F1: 0.2518
sub_4:Test (Best Model) - Loss: 2.3570 - Accuracy: 0.2095 - F1: 0.2046
sub_4:Test (Best Model) - Loss: 2.3511 - Accuracy: 0.2619 - F1: 0.2592
sub_4:Test (Best Model) - Loss: 2.1385 - Accuracy: 0.2333 - F1: 0.2326
sub_4:Test (Best Model) - Loss: 2.3785 - Accuracy: 0.2905 - F1: 0.2836
sub_4:Test (Best Model) - Loss: 2.7568 - Accuracy: 0.3000 - F1: 0.2997
sub_4:Test (Best Model) - Loss: 2.2314 - Accuracy: 0.2286 - F1: 0.2256
sub_4:Test (Best Model) - Loss: 2.7947 - Accuracy: 0.2905 - F1: 0.2837
sub_4:Test (Best Model) - Loss: 2.2910 - Accuracy: 0.2667 - F1: 0.2611
sub_4:Test (Best Model) - Loss: 2.1884 - Accuracy: 0.2810 - F1: 0.2789
sub_4:Test (Best Model) - Loss: 2.0778 - Accuracy: 0.2857 - F1: 0.2759
sub_4:Test (Best Model) - Loss: 2.1403 - Accuracy: 0.2905 - F1: 0.2611
sub_4:Test (Best Model) - Loss: 2.5342 - Accuracy: 0.2810 - F1: 0.2714
sub_4:Test (Best Model) - Loss: 2.3148 - Accuracy: 0.2952 - F1: 0.2831
sub_5:Test (Best Model) - Loss: 2.4401 - Accuracy: 0.3619 - F1: 0.3282
sub_5:Test (Best Model) - Loss: 2.5927 - Accuracy: 0.3143 - F1: 0.2824
sub_5:Test (Best Model) - Loss: 2.1835 - Accuracy: 0.4095 - F1: 0.3766
sub_5:Test (Best Model) - Loss: 2.3484 - Accuracy: 0.3333 - F1: 0.3056
sub_5:Test (Best Model) - Loss: 2.4006 - Accuracy: 0.3095 - F1: 0.2736
sub_5:Test (Best Model) - Loss: 2.0689 - Accuracy: 0.2905 - F1: 0.3010
sub_5:Test (Best Model) - Loss: 1.9946 - Accuracy: 0.2810 - F1: 0.2896
sub_5:Test (Best Model) - Loss: 2.2042 - Accuracy: 0.3095 - F1: 0.3184
sub_5:Test (Best Model) - Loss: 2.1491 - Accuracy: 0.3381 - F1: 0.3476
sub_5:Test (Best Model) - Loss: 2.0528 - Accuracy: 0.3095 - F1: 0.3203
sub_5:Test (Best Model) - Loss: 1.8895 - Accuracy: 0.2905 - F1: 0.3051
sub_5:Test (Best Model) - Loss: 1.9933 - Accuracy: 0.3190 - F1: 0.3277
sub_5:Test (Best Model) - Loss: 1.9583 - Accuracy: 0.3190 - F1: 0.3342
sub_5:Test (Best Model) - Loss: 1.9890 - Accuracy: 0.2905 - F1: 0.3050
sub_5:Test (Best Model) - Loss: 2.0015 - Accuracy: 0.3143 - F1: 0.3259
sub_6:Test (Best Model) - Loss: 2.4551 - Accuracy: 0.2095 - F1: 0.2015
sub_6:Test (Best Model) - Loss: 2.2432 - Accuracy: 0.2238 - F1: 0.2261
sub_6:Test (Best Model) - Loss: 2.4864 - Accuracy: 0.2000 - F1: 0.2049
sub_6:Test (Best Model) - Loss: 2.5069 - Accuracy: 0.2143 - F1: 0.2130
sub_6:Test (Best Model) - Loss: 2.1712 - Accuracy: 0.2571 - F1: 0.2552
sub_6:Test (Best Model) - Loss: 2.6267 - Accuracy: 0.2810 - F1: 0.2769
sub_6:Test (Best Model) - Loss: 2.6257 - Accuracy: 0.1905 - F1: 0.1897
sub_6:Test (Best Model) - Loss: 2.1555 - Accuracy: 0.2000 - F1: 0.1989
sub_6:Test (Best Model) - Loss: 2.3731 - Accuracy: 0.2048 - F1: 0.2042
sub_6:Test (Best Model) - Loss: 2.1388 - Accuracy: 0.2333 - F1: 0.2276
sub_6:Test (Best Model) - Loss: 2.0766 - Accuracy: 0.2714 - F1: 0.2701
sub_6:Test (Best Model) - Loss: 2.1828 - Accuracy: 0.2238 - F1: 0.2259
sub_6:Test (Best Model) - Loss: 2.0181 - Accuracy: 0.3000 - F1: 0.2986
sub_6:Test (Best Model) - Loss: 2.3785 - Accuracy: 0.2476 - F1: 0.2415
sub_6:Test (Best Model) - Loss: 2.3501 - Accuracy: 0.2619 - F1: 0.2644
sub_7:Test (Best Model) - Loss: 2.7124 - Accuracy: 0.2571 - F1: 0.2585
sub_7:Test (Best Model) - Loss: 2.7998 - Accuracy: 0.2190 - F1: 0.2144
sub_7:Test (Best Model) - Loss: 2.1048 - Accuracy: 0.2667 - F1: 0.2600
sub_7:Test (Best Model) - Loss: 2.3983 - Accuracy: 0.2381 - F1: 0.2333
sub_7:Test (Best Model) - Loss: 2.0850 - Accuracy: 0.2238 - F1: 0.2102
sub_7:Test (Best Model) - Loss: 2.2293 - Accuracy: 0.2095 - F1: 0.2086
sub_7:Test (Best Model) - Loss: 2.0475 - Accuracy: 0.2238 - F1: 0.2293
sub_7:Test (Best Model) - Loss: 2.3434 - Accuracy: 0.2429 - F1: 0.2477
sub_7:Test (Best Model) - Loss: 2.1471 - Accuracy: 0.1905 - F1: 0.1926
sub_7:Test (Best Model) - Loss: 2.1291 - Accuracy: 0.1952 - F1: 0.1965
sub_7:Test (Best Model) - Loss: 1.9545 - Accuracy: 0.2333 - F1: 0.2287
sub_7:Test (Best Model) - Loss: 2.4275 - Accuracy: 0.2286 - F1: 0.2268
sub_7:Test (Best Model) - Loss: 1.9854 - Accuracy: 0.2190 - F1: 0.2144
sub_7:Test (Best Model) - Loss: 1.9720 - Accuracy: 0.2381 - F1: 0.2357
sub_7:Test (Best Model) - Loss: 1.9315 - Accuracy: 0.1857 - F1: 0.1862
sub_8:Test (Best Model) - Loss: 2.2680 - Accuracy: 0.3810 - F1: 0.3697
sub_8:Test (Best Model) - Loss: 2.5670 - Accuracy: 0.3810 - F1: 0.3600
sub_8:Test (Best Model) - Loss: 2.1610 - Accuracy: 0.3619 - F1: 0.3418
sub_8:Test (Best Model) - Loss: 2.1784 - Accuracy: 0.3381 - F1: 0.3254
sub_8:Test (Best Model) - Loss: 2.0529 - Accuracy: 0.3619 - F1: 0.3484
sub_8:Test (Best Model) - Loss: 2.2028 - Accuracy: 0.3381 - F1: 0.3515
sub_8:Test (Best Model) - Loss: 2.2727 - Accuracy: 0.3286 - F1: 0.3409
sub_8:Test (Best Model) - Loss: 2.1025 - Accuracy: 0.3333 - F1: 0.3418
sub_8:Test (Best Model) - Loss: 2.0941 - Accuracy: 0.3143 - F1: 0.3240
sub_8:Test (Best Model) - Loss: 2.1942 - Accuracy: 0.3381 - F1: 0.3503
sub_8:Test (Best Model) - Loss: 2.2145 - Accuracy: 0.3190 - F1: 0.3295
sub_8:Test (Best Model) - Loss: 2.4141 - Accuracy: 0.2762 - F1: 0.2892
sub_8:Test (Best Model) - Loss: 2.4026 - Accuracy: 0.3619 - F1: 0.3689
sub_8:Test (Best Model) - Loss: 2.1695 - Accuracy: 0.3190 - F1: 0.3214
sub_8:Test (Best Model) - Loss: 2.3094 - Accuracy: 0.3048 - F1: 0.3128
sub_9:Test (Best Model) - Loss: 2.6362 - Accuracy: 0.2190 - F1: 0.2085
sub_9:Test (Best Model) - Loss: 2.4242 - Accuracy: 0.2429 - F1: 0.2369
sub_9:Test (Best Model) - Loss: 2.3166 - Accuracy: 0.2952 - F1: 0.2798
sub_9:Test (Best Model) - Loss: 2.5081 - Accuracy: 0.2238 - F1: 0.2054
sub_9:Test (Best Model) - Loss: 2.4405 - Accuracy: 0.2333 - F1: 0.2119
sub_9:Test (Best Model) - Loss: 2.1994 - Accuracy: 0.2476 - F1: 0.2491
sub_9:Test (Best Model) - Loss: 2.5119 - Accuracy: 0.2952 - F1: 0.2859
sub_9:Test (Best Model) - Loss: 2.2580 - Accuracy: 0.2143 - F1: 0.2129
sub_9:Test (Best Model) - Loss: 2.6483 - Accuracy: 0.3048 - F1: 0.2993
sub_9:Test (Best Model) - Loss: 2.2093 - Accuracy: 0.2571 - F1: 0.2467
sub_9:Test (Best Model) - Loss: 2.4898 - Accuracy: 0.2000 - F1: 0.2027
sub_9:Test (Best Model) - Loss: 2.6134 - Accuracy: 0.2619 - F1: 0.2680
sub_9:Test (Best Model) - Loss: 2.5330 - Accuracy: 0.2619 - F1: 0.2727
sub_9:Test (Best Model) - Loss: 2.3057 - Accuracy: 0.2429 - F1: 0.2483
sub_9:Test (Best Model) - Loss: 2.5570 - Accuracy: 0.2429 - F1: 0.2510
sub_10:Test (Best Model) - Loss: 2.6329 - Accuracy: 0.2095 - F1: 0.2050
sub_10:Test (Best Model) - Loss: 2.0740 - Accuracy: 0.2619 - F1: 0.2530
sub_10:Test (Best Model) - Loss: 2.1493 - Accuracy: 0.2429 - F1: 0.2386
sub_10:Test (Best Model) - Loss: 2.2031 - Accuracy: 0.2143 - F1: 0.2028
sub_10:Test (Best Model) - Loss: 2.0488 - Accuracy: 0.2571 - F1: 0.2500
sub_10:Test (Best Model) - Loss: 2.0840 - Accuracy: 0.2381 - F1: 0.2334
sub_10:Test (Best Model) - Loss: 2.0320 - Accuracy: 0.2429 - F1: 0.2368
sub_10:Test (Best Model) - Loss: 2.1787 - Accuracy: 0.2667 - F1: 0.2624
sub_10:Test (Best Model) - Loss: 2.3057 - Accuracy: 0.2476 - F1: 0.2475
sub_10:Test (Best Model) - Loss: 2.3007 - Accuracy: 0.2429 - F1: 0.2340
sub_10:Test (Best Model) - Loss: 2.3339 - Accuracy: 0.2381 - F1: 0.2300
sub_10:Test (Best Model) - Loss: 2.2751 - Accuracy: 0.2571 - F1: 0.2559
sub_10:Test (Best Model) - Loss: 2.7007 - Accuracy: 0.2667 - F1: 0.2624
sub_10:Test (Best Model) - Loss: 2.3712 - Accuracy: 0.2429 - F1: 0.2436
sub_10:Test (Best Model) - Loss: 2.4971 - Accuracy: 0.2571 - F1: 0.2556
sub_11:Test (Best Model) - Loss: 2.6090 - Accuracy: 0.2286 - F1: 0.2229
sub_11:Test (Best Model) - Loss: 2.3506 - Accuracy: 0.2190 - F1: 0.2148
sub_11:Test (Best Model) - Loss: 2.3474 - Accuracy: 0.2095 - F1: 0.2053
sub_11:Test (Best Model) - Loss: 2.4988 - Accuracy: 0.2048 - F1: 0.1956
sub_11:Test (Best Model) - Loss: 2.7474 - Accuracy: 0.2476 - F1: 0.2371
sub_11:Test (Best Model) - Loss: 2.0965 - Accuracy: 0.2476 - F1: 0.2509
sub_11:Test (Best Model) - Loss: 2.3718 - Accuracy: 0.3000 - F1: 0.3023
sub_11:Test (Best Model) - Loss: 2.5291 - Accuracy: 0.2762 - F1: 0.2802
sub_11:Test (Best Model) - Loss: 2.1896 - Accuracy: 0.2762 - F1: 0.2856
sub_11:Test (Best Model) - Loss: 2.3642 - Accuracy: 0.2571 - F1: 0.2611
sub_11:Test (Best Model) - Loss: 2.0452 - Accuracy: 0.2762 - F1: 0.2807
sub_11:Test (Best Model) - Loss: 2.0669 - Accuracy: 0.3190 - F1: 0.3205
sub_11:Test (Best Model) - Loss: 2.2856 - Accuracy: 0.2762 - F1: 0.2793
sub_11:Test (Best Model) - Loss: 2.0993 - Accuracy: 0.2857 - F1: 0.2879
sub_11:Test (Best Model) - Loss: 2.1288 - Accuracy: 0.2952 - F1: 0.2962
sub_12:Test (Best Model) - Loss: 1.8356 - Accuracy: 0.2524 - F1: 0.2682
sub_12:Test (Best Model) - Loss: 1.8222 - Accuracy: 0.2810 - F1: 0.2927
sub_12:Test (Best Model) - Loss: 1.9301 - Accuracy: 0.3524 - F1: 0.3497
sub_12:Test (Best Model) - Loss: 1.9825 - Accuracy: 0.3524 - F1: 0.3593
sub_12:Test (Best Model) - Loss: 1.9996 - Accuracy: 0.2429 - F1: 0.2600
sub_12:Test (Best Model) - Loss: 2.5588 - Accuracy: 0.2810 - F1: 0.2340
sub_12:Test (Best Model) - Loss: 2.5802 - Accuracy: 0.2667 - F1: 0.2077
sub_12:Test (Best Model) - Loss: 2.5384 - Accuracy: 0.3000 - F1: 0.2492
sub_12:Test (Best Model) - Loss: 2.5503 - Accuracy: 0.3095 - F1: 0.2426
sub_12:Test (Best Model) - Loss: 2.4417 - Accuracy: 0.2857 - F1: 0.2339
sub_12:Test (Best Model) - Loss: 2.8601 - Accuracy: 0.2238 - F1: 0.2331
sub_12:Test (Best Model) - Loss: 2.7108 - Accuracy: 0.2286 - F1: 0.2413
sub_12:Test (Best Model) - Loss: 2.8653 - Accuracy: 0.2429 - F1: 0.2554
sub_12:Test (Best Model) - Loss: 2.7668 - Accuracy: 0.2571 - F1: 0.2699
sub_12:Test (Best Model) - Loss: 2.9366 - Accuracy: 0.2238 - F1: 0.2350
sub_13:Test (Best Model) - Loss: 2.2539 - Accuracy: 0.2667 - F1: 0.2633
sub_13:Test (Best Model) - Loss: 2.7353 - Accuracy: 0.2238 - F1: 0.2203
sub_13:Test (Best Model) - Loss: 2.6162 - Accuracy: 0.2571 - F1: 0.2338
sub_13:Test (Best Model) - Loss: 2.0143 - Accuracy: 0.2381 - F1: 0.2395
sub_13:Test (Best Model) - Loss: 2.0609 - Accuracy: 0.2667 - F1: 0.2622
sub_13:Test (Best Model) - Loss: 2.0657 - Accuracy: 0.2381 - F1: 0.2377
sub_13:Test (Best Model) - Loss: 2.4733 - Accuracy: 0.2619 - F1: 0.2627
sub_13:Test (Best Model) - Loss: 2.3089 - Accuracy: 0.2333 - F1: 0.2309
sub_13:Test (Best Model) - Loss: 2.0898 - Accuracy: 0.2619 - F1: 0.2612
sub_13:Test (Best Model) - Loss: 2.6062 - Accuracy: 0.3000 - F1: 0.2884
sub_13:Test (Best Model) - Loss: 2.2502 - Accuracy: 0.2667 - F1: 0.2587
sub_13:Test (Best Model) - Loss: 2.1632 - Accuracy: 0.2905 - F1: 0.2856
sub_13:Test (Best Model) - Loss: 2.3174 - Accuracy: 0.2714 - F1: 0.2463
sub_13:Test (Best Model) - Loss: 2.1038 - Accuracy: 0.2714 - F1: 0.2560
sub_13:Test (Best Model) - Loss: 2.3010 - Accuracy: 0.2143 - F1: 0.2003
sub_14:Test (Best Model) - Loss: 2.1603 - Accuracy: 0.2571 - F1: 0.2693
sub_14:Test (Best Model) - Loss: 2.6811 - Accuracy: 0.2714 - F1: 0.2762
sub_14:Test (Best Model) - Loss: 2.3641 - Accuracy: 0.3048 - F1: 0.3116
sub_14:Test (Best Model) - Loss: 2.7394 - Accuracy: 0.2952 - F1: 0.2991
sub_14:Test (Best Model) - Loss: 2.8407 - Accuracy: 0.2476 - F1: 0.2442
sub_14:Test (Best Model) - Loss: 2.3050 - Accuracy: 0.3952 - F1: 0.3772
sub_14:Test (Best Model) - Loss: 2.1665 - Accuracy: 0.3095 - F1: 0.3026
sub_14:Test (Best Model) - Loss: 1.8798 - Accuracy: 0.3333 - F1: 0.3254
sub_14:Test (Best Model) - Loss: 1.9340 - Accuracy: 0.3048 - F1: 0.3008
sub_14:Test (Best Model) - Loss: 1.9187 - Accuracy: 0.2714 - F1: 0.2686
sub_14:Test (Best Model) - Loss: 2.1425 - Accuracy: 0.3429 - F1: 0.3251
sub_14:Test (Best Model) - Loss: 2.3789 - Accuracy: 0.2952 - F1: 0.2723
sub_14:Test (Best Model) - Loss: 2.1574 - Accuracy: 0.2857 - F1: 0.2711
sub_14:Test (Best Model) - Loss: 2.1227 - Accuracy: 0.3000 - F1: 0.2857
sub_14:Test (Best Model) - Loss: 2.3161 - Accuracy: 0.2714 - F1: 0.2407

=== Summary Results ===

acc: 27.46 ± 3.16
F1: 26.76 ± 3.19
acc-in: 32.41 ± 3.58
F1-in: 32.02 ± 3.63
