lr: 0.0001
sub_1:Test (Best Model) - Loss: 3.1254 - Accuracy: 0.2952 - F1: 0.2274
sub_1:Test (Best Model) - Loss: 3.5006 - Accuracy: 0.3286 - F1: 0.2707
sub_1:Test (Best Model) - Loss: 3.0549 - Accuracy: 0.3048 - F1: 0.2506
sub_1:Test (Best Model) - Loss: 2.9398 - Accuracy: 0.2762 - F1: 0.2034
sub_1:Test (Best Model) - Loss: 2.9168 - Accuracy: 0.2762 - F1: 0.2277
sub_1:Test (Best Model) - Loss: 2.2060 - Accuracy: 0.3333 - F1: 0.3330
sub_1:Test (Best Model) - Loss: 2.2088 - Accuracy: 0.3571 - F1: 0.3525
sub_1:Test (Best Model) - Loss: 2.1878 - Accuracy: 0.3429 - F1: 0.3374
sub_1:Test (Best Model) - Loss: 2.0812 - Accuracy: 0.3571 - F1: 0.3631
sub_1:Test (Best Model) - Loss: 2.1616 - Accuracy: 0.3476 - F1: 0.3519
sub_1:Test (Best Model) - Loss: 2.2326 - Accuracy: 0.3143 - F1: 0.3138
sub_1:Test (Best Model) - Loss: 2.2574 - Accuracy: 0.2905 - F1: 0.2953
sub_1:Test (Best Model) - Loss: 2.2391 - Accuracy: 0.2762 - F1: 0.2627
sub_1:Test (Best Model) - Loss: 2.1540 - Accuracy: 0.3000 - F1: 0.3066
sub_1:Test (Best Model) - Loss: 2.3177 - Accuracy: 0.2952 - F1: 0.3034
sub_2:Test (Best Model) - Loss: 2.4513 - Accuracy: 0.2857 - F1: 0.2254
sub_2:Test (Best Model) - Loss: 2.1469 - Accuracy: 0.3238 - F1: 0.2762
sub_2:Test (Best Model) - Loss: 2.3654 - Accuracy: 0.3000 - F1: 0.2439
sub_2:Test (Best Model) - Loss: 2.3700 - Accuracy: 0.3095 - F1: 0.2545
sub_2:Test (Best Model) - Loss: 2.5091 - Accuracy: 0.2714 - F1: 0.1888
sub_2:Test (Best Model) - Loss: 2.1692 - Accuracy: 0.3762 - F1: 0.3869
sub_2:Test (Best Model) - Loss: 2.0670 - Accuracy: 0.3238 - F1: 0.3363
sub_2:Test (Best Model) - Loss: 2.0114 - Accuracy: 0.3762 - F1: 0.3828
sub_2:Test (Best Model) - Loss: 2.1603 - Accuracy: 0.3095 - F1: 0.3173
sub_2:Test (Best Model) - Loss: 2.1525 - Accuracy: 0.2905 - F1: 0.3086
sub_2:Test (Best Model) - Loss: 2.0566 - Accuracy: 0.2810 - F1: 0.2928
sub_2:Test (Best Model) - Loss: 1.9795 - Accuracy: 0.2952 - F1: 0.3039
sub_2:Test (Best Model) - Loss: 2.2161 - Accuracy: 0.2762 - F1: 0.2911
sub_2:Test (Best Model) - Loss: 2.1416 - Accuracy: 0.2667 - F1: 0.2774
sub_2:Test (Best Model) - Loss: 2.2894 - Accuracy: 0.3095 - F1: 0.3205
sub_3:Test (Best Model) - Loss: 2.3621 - Accuracy: 0.2524 - F1: 0.1886
sub_3:Test (Best Model) - Loss: 3.0695 - Accuracy: 0.2476 - F1: 0.1612
sub_3:Test (Best Model) - Loss: 2.7192 - Accuracy: 0.2667 - F1: 0.2027
sub_3:Test (Best Model) - Loss: 2.5148 - Accuracy: 0.2571 - F1: 0.2029
sub_3:Test (Best Model) - Loss: 3.9113 - Accuracy: 0.2238 - F1: 0.1122
sub_3:Test (Best Model) - Loss: 2.3244 - Accuracy: 0.2810 - F1: 0.2847
sub_3:Test (Best Model) - Loss: 2.4627 - Accuracy: 0.2952 - F1: 0.2949
sub_3:Test (Best Model) - Loss: 1.9509 - Accuracy: 0.3286 - F1: 0.3245
sub_3:Test (Best Model) - Loss: 2.2082 - Accuracy: 0.3190 - F1: 0.3126
sub_3:Test (Best Model) - Loss: 2.3933 - Accuracy: 0.2857 - F1: 0.2812
sub_3:Test (Best Model) - Loss: 2.2792 - Accuracy: 0.2667 - F1: 0.2653
sub_3:Test (Best Model) - Loss: 2.2623 - Accuracy: 0.2286 - F1: 0.2212
sub_3:Test (Best Model) - Loss: 2.5502 - Accuracy: 0.2762 - F1: 0.2625
sub_3:Test (Best Model) - Loss: 2.3315 - Accuracy: 0.2571 - F1: 0.2473
sub_3:Test (Best Model) - Loss: 2.4966 - Accuracy: 0.2429 - F1: 0.2314
sub_4:Test (Best Model) - Loss: 2.1986 - Accuracy: 0.2810 - F1: 0.2722
sub_4:Test (Best Model) - Loss: 2.4304 - Accuracy: 0.2524 - F1: 0.2523
sub_4:Test (Best Model) - Loss: 2.2983 - Accuracy: 0.2524 - F1: 0.2508
sub_4:Test (Best Model) - Loss: 2.2840 - Accuracy: 0.3143 - F1: 0.3104
sub_4:Test (Best Model) - Loss: 2.4725 - Accuracy: 0.2952 - F1: 0.2915
sub_4:Test (Best Model) - Loss: 2.6212 - Accuracy: 0.2714 - F1: 0.2653
sub_4:Test (Best Model) - Loss: 2.7539 - Accuracy: 0.3048 - F1: 0.3070
sub_4:Test (Best Model) - Loss: 3.1642 - Accuracy: 0.2429 - F1: 0.2307
sub_4:Test (Best Model) - Loss: 2.5923 - Accuracy: 0.2952 - F1: 0.2852
sub_4:Test (Best Model) - Loss: 2.3112 - Accuracy: 0.2762 - F1: 0.2678
sub_4:Test (Best Model) - Loss: 2.0452 - Accuracy: 0.2762 - F1: 0.2684
sub_4:Test (Best Model) - Loss: 2.0311 - Accuracy: 0.3238 - F1: 0.3116
sub_4:Test (Best Model) - Loss: 2.1024 - Accuracy: 0.3190 - F1: 0.2849
sub_4:Test (Best Model) - Loss: 2.2430 - Accuracy: 0.3238 - F1: 0.3052
sub_4:Test (Best Model) - Loss: 2.1561 - Accuracy: 0.3238 - F1: 0.3090
sub_5:Test (Best Model) - Loss: 2.9478 - Accuracy: 0.3571 - F1: 0.3075
sub_5:Test (Best Model) - Loss: 2.7334 - Accuracy: 0.3286 - F1: 0.2762
sub_5:Test (Best Model) - Loss: 2.6691 - Accuracy: 0.4095 - F1: 0.3604
sub_5:Test (Best Model) - Loss: 2.6965 - Accuracy: 0.3333 - F1: 0.2842
sub_5:Test (Best Model) - Loss: 2.6650 - Accuracy: 0.3429 - F1: 0.2823
sub_5:Test (Best Model) - Loss: 2.1238 - Accuracy: 0.3190 - F1: 0.3288
sub_5:Test (Best Model) - Loss: 2.2064 - Accuracy: 0.2857 - F1: 0.2981
sub_5:Test (Best Model) - Loss: 2.1442 - Accuracy: 0.3381 - F1: 0.3449
sub_5:Test (Best Model) - Loss: 1.8521 - Accuracy: 0.3381 - F1: 0.3528
sub_5:Test (Best Model) - Loss: 2.0226 - Accuracy: 0.3190 - F1: 0.3207
sub_5:Test (Best Model) - Loss: 1.9051 - Accuracy: 0.2952 - F1: 0.3076
sub_5:Test (Best Model) - Loss: 1.9560 - Accuracy: 0.3381 - F1: 0.3493
sub_5:Test (Best Model) - Loss: 2.0038 - Accuracy: 0.3381 - F1: 0.3549
sub_5:Test (Best Model) - Loss: 1.9555 - Accuracy: 0.3286 - F1: 0.3437
sub_5:Test (Best Model) - Loss: 1.9076 - Accuracy: 0.3238 - F1: 0.3400
sub_6:Test (Best Model) - Loss: 2.4391 - Accuracy: 0.2000 - F1: 0.1961
sub_6:Test (Best Model) - Loss: 2.2813 - Accuracy: 0.2190 - F1: 0.2231
sub_6:Test (Best Model) - Loss: 2.6473 - Accuracy: 0.2095 - F1: 0.2142
sub_6:Test (Best Model) - Loss: 2.5510 - Accuracy: 0.2619 - F1: 0.2615
sub_6:Test (Best Model) - Loss: 2.1691 - Accuracy: 0.2619 - F1: 0.2534
sub_6:Test (Best Model) - Loss: 2.5097 - Accuracy: 0.2429 - F1: 0.2398
sub_6:Test (Best Model) - Loss: 2.7152 - Accuracy: 0.2286 - F1: 0.2293
sub_6:Test (Best Model) - Loss: 2.1467 - Accuracy: 0.2190 - F1: 0.2153
sub_6:Test (Best Model) - Loss: 2.5232 - Accuracy: 0.2333 - F1: 0.2329
sub_6:Test (Best Model) - Loss: 2.1919 - Accuracy: 0.2619 - F1: 0.2520
sub_6:Test (Best Model) - Loss: 2.0795 - Accuracy: 0.2952 - F1: 0.2931
sub_6:Test (Best Model) - Loss: 2.1252 - Accuracy: 0.2286 - F1: 0.2257
sub_6:Test (Best Model) - Loss: 2.1572 - Accuracy: 0.2952 - F1: 0.2912
sub_6:Test (Best Model) - Loss: 2.2632 - Accuracy: 0.2571 - F1: 0.2481
sub_6:Test (Best Model) - Loss: 2.2305 - Accuracy: 0.2762 - F1: 0.2747
sub_7:Test (Best Model) - Loss: 2.6089 - Accuracy: 0.2476 - F1: 0.2465
sub_7:Test (Best Model) - Loss: 2.7620 - Accuracy: 0.2333 - F1: 0.2280
sub_7:Test (Best Model) - Loss: 2.5670 - Accuracy: 0.2476 - F1: 0.2300
sub_7:Test (Best Model) - Loss: 2.4692 - Accuracy: 0.2286 - F1: 0.2137
sub_7:Test (Best Model) - Loss: 2.6963 - Accuracy: 0.2048 - F1: 0.1803
sub_7:Test (Best Model) - Loss: 2.2975 - Accuracy: 0.2095 - F1: 0.2090
sub_7:Test (Best Model) - Loss: 2.3187 - Accuracy: 0.2429 - F1: 0.2460
sub_7:Test (Best Model) - Loss: 2.4470 - Accuracy: 0.2429 - F1: 0.2469
sub_7:Test (Best Model) - Loss: 2.1541 - Accuracy: 0.2286 - F1: 0.2293
sub_7:Test (Best Model) - Loss: 2.2594 - Accuracy: 0.2143 - F1: 0.2133
sub_7:Test (Best Model) - Loss: 2.0131 - Accuracy: 0.2619 - F1: 0.2573
sub_7:Test (Best Model) - Loss: 2.2419 - Accuracy: 0.2476 - F1: 0.2421
sub_7:Test (Best Model) - Loss: 2.1249 - Accuracy: 0.2619 - F1: 0.2552
sub_7:Test (Best Model) - Loss: 2.0693 - Accuracy: 0.2429 - F1: 0.2379
sub_7:Test (Best Model) - Loss: 2.0194 - Accuracy: 0.2238 - F1: 0.2210
sub_8:Test (Best Model) - Loss: 2.2130 - Accuracy: 0.3571 - F1: 0.3371
sub_8:Test (Best Model) - Loss: 2.1683 - Accuracy: 0.3810 - F1: 0.3591
sub_8:Test (Best Model) - Loss: 2.2538 - Accuracy: 0.3429 - F1: 0.3197
sub_8:Test (Best Model) - Loss: 2.2973 - Accuracy: 0.3381 - F1: 0.3204
sub_8:Test (Best Model) - Loss: 2.3014 - Accuracy: 0.3714 - F1: 0.3471
sub_8:Test (Best Model) - Loss: 2.2601 - Accuracy: 0.3429 - F1: 0.3532
sub_8:Test (Best Model) - Loss: 2.2828 - Accuracy: 0.3143 - F1: 0.3261
sub_8:Test (Best Model) - Loss: 1.9541 - Accuracy: 0.3524 - F1: 0.3616
sub_8:Test (Best Model) - Loss: 2.0475 - Accuracy: 0.3238 - F1: 0.3292
sub_8:Test (Best Model) - Loss: 2.1431 - Accuracy: 0.3762 - F1: 0.3897
sub_8:Test (Best Model) - Loss: 2.2590 - Accuracy: 0.3381 - F1: 0.3441
sub_8:Test (Best Model) - Loss: 2.3912 - Accuracy: 0.3048 - F1: 0.3095
sub_8:Test (Best Model) - Loss: 2.1416 - Accuracy: 0.3667 - F1: 0.3670
sub_8:Test (Best Model) - Loss: 2.4329 - Accuracy: 0.3714 - F1: 0.3582
sub_8:Test (Best Model) - Loss: 2.4664 - Accuracy: 0.3286 - F1: 0.3351
sub_9:Test (Best Model) - Loss: 2.4638 - Accuracy: 0.2095 - F1: 0.1986
sub_9:Test (Best Model) - Loss: 2.2763 - Accuracy: 0.2667 - F1: 0.2586
sub_9:Test (Best Model) - Loss: 2.4557 - Accuracy: 0.2619 - F1: 0.2268
sub_9:Test (Best Model) - Loss: 2.5132 - Accuracy: 0.2524 - F1: 0.2237
sub_9:Test (Best Model) - Loss: 2.4885 - Accuracy: 0.2238 - F1: 0.2006
sub_9:Test (Best Model) - Loss: 2.2174 - Accuracy: 0.3095 - F1: 0.2935
sub_9:Test (Best Model) - Loss: 2.4701 - Accuracy: 0.3095 - F1: 0.2984
sub_9:Test (Best Model) - Loss: 2.3897 - Accuracy: 0.2714 - F1: 0.2664
sub_9:Test (Best Model) - Loss: 2.2410 - Accuracy: 0.3000 - F1: 0.2902
sub_9:Test (Best Model) - Loss: 2.4321 - Accuracy: 0.3095 - F1: 0.2981
sub_9:Test (Best Model) - Loss: 2.4628 - Accuracy: 0.2333 - F1: 0.2382
sub_9:Test (Best Model) - Loss: 2.4042 - Accuracy: 0.2762 - F1: 0.2805
sub_9:Test (Best Model) - Loss: 2.3754 - Accuracy: 0.2810 - F1: 0.2918
sub_9:Test (Best Model) - Loss: 2.3367 - Accuracy: 0.2714 - F1: 0.2856
sub_9:Test (Best Model) - Loss: 2.5028 - Accuracy: 0.2524 - F1: 0.2622
sub_10:Test (Best Model) - Loss: 2.4652 - Accuracy: 0.2714 - F1: 0.2658
sub_10:Test (Best Model) - Loss: 2.3295 - Accuracy: 0.2810 - F1: 0.2729
sub_10:Test (Best Model) - Loss: 2.2779 - Accuracy: 0.2619 - F1: 0.2528
sub_10:Test (Best Model) - Loss: 2.1847 - Accuracy: 0.2571 - F1: 0.2519
sub_10:Test (Best Model) - Loss: 2.1486 - Accuracy: 0.2905 - F1: 0.2822
sub_10:Test (Best Model) - Loss: 2.3251 - Accuracy: 0.2667 - F1: 0.2555
sub_10:Test (Best Model) - Loss: 2.2952 - Accuracy: 0.2714 - F1: 0.2657
sub_10:Test (Best Model) - Loss: 2.2083 - Accuracy: 0.2762 - F1: 0.2671
sub_10:Test (Best Model) - Loss: 2.3108 - Accuracy: 0.2571 - F1: 0.2554
sub_10:Test (Best Model) - Loss: 2.2000 - Accuracy: 0.2952 - F1: 0.2828
sub_10:Test (Best Model) - Loss: 2.3351 - Accuracy: 0.2762 - F1: 0.2705
sub_10:Test (Best Model) - Loss: 2.1645 - Accuracy: 0.2667 - F1: 0.2664
sub_10:Test (Best Model) - Loss: 2.3507 - Accuracy: 0.2762 - F1: 0.2716
sub_10:Test (Best Model) - Loss: 2.1970 - Accuracy: 0.2571 - F1: 0.2559
sub_10:Test (Best Model) - Loss: 2.3798 - Accuracy: 0.2667 - F1: 0.2659
sub_11:Test (Best Model) - Loss: 2.5705 - Accuracy: 0.2381 - F1: 0.2301
sub_11:Test (Best Model) - Loss: 2.6510 - Accuracy: 0.2143 - F1: 0.2082
sub_11:Test (Best Model) - Loss: 2.6750 - Accuracy: 0.2048 - F1: 0.1946
sub_11:Test (Best Model) - Loss: 2.9100 - Accuracy: 0.2381 - F1: 0.2264
sub_11:Test (Best Model) - Loss: 2.4819 - Accuracy: 0.2619 - F1: 0.2511
sub_11:Test (Best Model) - Loss: 2.2509 - Accuracy: 0.3000 - F1: 0.3043
sub_11:Test (Best Model) - Loss: 2.2031 - Accuracy: 0.3143 - F1: 0.3187
sub_11:Test (Best Model) - Loss: 2.0941 - Accuracy: 0.2857 - F1: 0.2899
sub_11:Test (Best Model) - Loss: 2.1335 - Accuracy: 0.2952 - F1: 0.3005
sub_11:Test (Best Model) - Loss: 2.3092 - Accuracy: 0.2714 - F1: 0.2748
sub_11:Test (Best Model) - Loss: 2.3176 - Accuracy: 0.2905 - F1: 0.2969
sub_11:Test (Best Model) - Loss: 2.1848 - Accuracy: 0.3381 - F1: 0.3366
sub_11:Test (Best Model) - Loss: 2.1709 - Accuracy: 0.3238 - F1: 0.3279
sub_11:Test (Best Model) - Loss: 2.2261 - Accuracy: 0.3000 - F1: 0.3043
sub_11:Test (Best Model) - Loss: 2.1534 - Accuracy: 0.3095 - F1: 0.3147
sub_12:Test (Best Model) - Loss: 1.9215 - Accuracy: 0.2810 - F1: 0.3016
sub_12:Test (Best Model) - Loss: 1.9810 - Accuracy: 0.3190 - F1: 0.3285
sub_12:Test (Best Model) - Loss: 1.9217 - Accuracy: 0.3667 - F1: 0.3636
sub_12:Test (Best Model) - Loss: 1.8928 - Accuracy: 0.3714 - F1: 0.3790
sub_12:Test (Best Model) - Loss: 2.2147 - Accuracy: 0.2571 - F1: 0.2668
sub_12:Test (Best Model) - Loss: 2.8483 - Accuracy: 0.2857 - F1: 0.2286
sub_12:Test (Best Model) - Loss: 2.6835 - Accuracy: 0.2762 - F1: 0.2123
sub_12:Test (Best Model) - Loss: 2.9482 - Accuracy: 0.3000 - F1: 0.2376
sub_12:Test (Best Model) - Loss: 2.8425 - Accuracy: 0.3190 - F1: 0.2599
sub_12:Test (Best Model) - Loss: 2.8109 - Accuracy: 0.3238 - F1: 0.2682
sub_12:Test (Best Model) - Loss: 3.4227 - Accuracy: 0.2381 - F1: 0.2516
sub_12:Test (Best Model) - Loss: 2.8731 - Accuracy: 0.2381 - F1: 0.2564
sub_12:Test (Best Model) - Loss: 2.8431 - Accuracy: 0.2619 - F1: 0.2794
sub_12:Test (Best Model) - Loss: 2.5986 - Accuracy: 0.2524 - F1: 0.2660
sub_12:Test (Best Model) - Loss: 3.0120 - Accuracy: 0.2476 - F1: 0.2626
sub_13:Test (Best Model) - Loss: 2.0653 - Accuracy: 0.2714 - F1: 0.2634
sub_13:Test (Best Model) - Loss: 2.1928 - Accuracy: 0.2571 - F1: 0.2481
sub_13:Test (Best Model) - Loss: 2.1393 - Accuracy: 0.2905 - F1: 0.2707
sub_13:Test (Best Model) - Loss: 2.2048 - Accuracy: 0.2571 - F1: 0.2478
sub_13:Test (Best Model) - Loss: 2.1141 - Accuracy: 0.2810 - F1: 0.2749
sub_13:Test (Best Model) - Loss: 2.2386 - Accuracy: 0.2810 - F1: 0.2807
sub_13:Test (Best Model) - Loss: 2.2782 - Accuracy: 0.2524 - F1: 0.2477
sub_13:Test (Best Model) - Loss: 2.4445 - Accuracy: 0.2286 - F1: 0.2227
sub_13:Test (Best Model) - Loss: 2.0374 - Accuracy: 0.2667 - F1: 0.2698
sub_13:Test (Best Model) - Loss: 2.1784 - Accuracy: 0.3048 - F1: 0.2927
sub_13:Test (Best Model) - Loss: 2.3348 - Accuracy: 0.2762 - F1: 0.2613
sub_13:Test (Best Model) - Loss: 2.1634 - Accuracy: 0.3048 - F1: 0.2896
sub_13:Test (Best Model) - Loss: 2.0148 - Accuracy: 0.3048 - F1: 0.2884
sub_13:Test (Best Model) - Loss: 2.1692 - Accuracy: 0.2429 - F1: 0.2195
sub_13:Test (Best Model) - Loss: 2.4466 - Accuracy: 0.2381 - F1: 0.2170
sub_14:Test (Best Model) - Loss: 2.5074 - Accuracy: 0.2714 - F1: 0.2844
sub_14:Test (Best Model) - Loss: 2.4729 - Accuracy: 0.2810 - F1: 0.2891
sub_14:Test (Best Model) - Loss: 2.5930 - Accuracy: 0.3286 - F1: 0.3500
sub_14:Test (Best Model) - Loss: 2.5614 - Accuracy: 0.3190 - F1: 0.3270
sub_14:Test (Best Model) - Loss: 2.7380 - Accuracy: 0.2476 - F1: 0.2473
sub_14:Test (Best Model) - Loss: 1.8788 - Accuracy: 0.3714 - F1: 0.3511
sub_14:Test (Best Model) - Loss: 2.1950 - Accuracy: 0.3476 - F1: 0.3255
sub_14:Test (Best Model) - Loss: 2.2234 - Accuracy: 0.3524 - F1: 0.3301
sub_14:Test (Best Model) - Loss: 2.1259 - Accuracy: 0.3857 - F1: 0.3736
sub_14:Test (Best Model) - Loss: 2.0016 - Accuracy: 0.3286 - F1: 0.3224
sub_14:Test (Best Model) - Loss: 2.1697 - Accuracy: 0.3571 - F1: 0.3335
sub_14:Test (Best Model) - Loss: 2.2222 - Accuracy: 0.3667 - F1: 0.3207
sub_14:Test (Best Model) - Loss: 2.0859 - Accuracy: 0.3143 - F1: 0.2827
sub_14:Test (Best Model) - Loss: 2.1616 - Accuracy: 0.3524 - F1: 0.3158
sub_14:Test (Best Model) - Loss: 2.4373 - Accuracy: 0.3143 - F1: 0.2752

=== Summary Results ===

acc: 28.92 ± 3.17
F1: 27.90 ± 3.16
acc-in: 34.05 ± 3.69
F1-in: 33.47 ± 3.72
