lr: 0.0001
sub_4:Test (Best Model) - Loss: 1.6097 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 1.6106 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 1.6113 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.6107 - Accuracy: 0.2000 - F1: 0.0667
sub_5:Test (Best Model) - Loss: 1.6089 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.6104 - Accuracy: 0.2000 - F1: 0.0667
sub_4:Test (Best Model) - Loss: 1.6095 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 1.6112 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 1.6092 - Accuracy: 0.2048 - F1: 0.0885
sub_7:Test (Best Model) - Loss: 1.6078 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.6085 - Accuracy: 0.2000 - F1: 0.0667
sub_5:Test (Best Model) - Loss: 1.6059 - Accuracy: 0.2048 - F1: 0.0763
sub_4:Test (Best Model) - Loss: 1.6103 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 1.6093 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 1.6101 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.6109 - Accuracy: 0.2000 - F1: 0.0667
sub_4:Test (Best Model) - Loss: 1.6094 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 1.6104 - Accuracy: 0.2000 - F1: 0.0667
sub_5:Test (Best Model) - Loss: 1.6086 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.6098 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 1.3612 - Accuracy: 0.3762 - F1: 0.2609
sub_6:Test (Best Model) - Loss: 1.6104 - Accuracy: 0.1905 - F1: 0.1061
sub_4:Test (Best Model) - Loss: 1.6106 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.6095 - Accuracy: 0.2000 - F1: 0.0669
sub_1:Test (Best Model) - Loss: 1.6083 - Accuracy: 0.2000 - F1: 0.0667
sub_5:Test (Best Model) - Loss: 1.6094 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 1.6069 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 1.6085 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 1.6113 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.6095 - Accuracy: 0.2000 - F1: 0.0669
sub_1:Test (Best Model) - Loss: 1.6088 - Accuracy: 0.2000 - F1: 0.0667
sub_5:Test (Best Model) - Loss: 1.6087 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 1.6092 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 1.6117 - Accuracy: 0.2000 - F1: 0.0669
sub_6:Test (Best Model) - Loss: 1.6088 - Accuracy: 0.2000 - F1: 0.0667
sub_4:Test (Best Model) - Loss: 1.5966 - Accuracy: 0.2524 - F1: 0.2234
sub_7:Test (Best Model) - Loss: 1.6094 - Accuracy: 0.1952 - F1: 0.1097
sub_1:Test (Best Model) - Loss: 1.6069 - Accuracy: 0.3048 - F1: 0.2087
sub_2:Test (Best Model) - Loss: 1.6093 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 1.6090 - Accuracy: 0.2000 - F1: 0.0667
sub_4:Test (Best Model) - Loss: 1.6090 - Accuracy: 0.2000 - F1: 0.0667
sub_5:Test (Best Model) - Loss: 1.6073 - Accuracy: 0.2238 - F1: 0.1339
sub_7:Test (Best Model) - Loss: 1.6095 - Accuracy: 0.2000 - F1: 0.0749
sub_1:Test (Best Model) - Loss: 1.6061 - Accuracy: 0.2286 - F1: 0.1230
sub_2:Test (Best Model) - Loss: 1.3420 - Accuracy: 0.3762 - F1: 0.2874
sub_3:Test (Best Model) - Loss: 1.5330 - Accuracy: 0.3524 - F1: 0.2593
sub_4:Test (Best Model) - Loss: 1.5890 - Accuracy: 0.2762 - F1: 0.1622
sub_6:Test (Best Model) - Loss: 1.3741 - Accuracy: 0.3048 - F1: 0.2269
sub_1:Test (Best Model) - Loss: 1.6064 - Accuracy: 0.3048 - F1: 0.1936
sub_7:Test (Best Model) - Loss: 1.6079 - Accuracy: 0.2381 - F1: 0.1337
sub_3:Test (Best Model) - Loss: 1.6084 - Accuracy: 0.2000 - F1: 0.0667
sub_4:Test (Best Model) - Loss: 1.6092 - Accuracy: 0.2000 - F1: 0.0667
sub_5:Test (Best Model) - Loss: 1.5936 - Accuracy: 0.2524 - F1: 0.1546
sub_6:Test (Best Model) - Loss: 1.6091 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 1.3940 - Accuracy: 0.3905 - F1: 0.2523
sub_7:Test (Best Model) - Loss: 1.6101 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 1.6089 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.6057 - Accuracy: 0.2000 - F1: 0.0669
sub_6:Test (Best Model) - Loss: 1.6095 - Accuracy: 0.1952 - F1: 0.0739
sub_5:Test (Best Model) - Loss: 1.6007 - Accuracy: 0.2952 - F1: 0.2007
sub_7:Test (Best Model) - Loss: 1.6094 - Accuracy: 0.2000 - F1: 0.0667
sub_6:Test (Best Model) - Loss: 1.6106 - Accuracy: 0.2000 - F1: 0.0667
sub_1:Test (Best Model) - Loss: 1.6060 - Accuracy: 0.3095 - F1: 0.2219
sub_2:Test (Best Model) - Loss: 1.4835 - Accuracy: 0.3095 - F1: 0.2580
sub_3:Test (Best Model) - Loss: 1.6080 - Accuracy: 0.2286 - F1: 0.1530
sub_4:Test (Best Model) - Loss: 1.2925 - Accuracy: 0.3667 - F1: 0.2577
sub_6:Test (Best Model) - Loss: 1.6076 - Accuracy: 0.2000 - F1: 0.0667
sub_7:Test (Best Model) - Loss: 1.6103 - Accuracy: 0.1857 - F1: 0.0700
sub_3:Test (Best Model) - Loss: 1.6092 - Accuracy: 0.2048 - F1: 0.1101
sub_6:Test (Best Model) - Loss: 1.6091 - Accuracy: 0.2381 - F1: 0.1344
sub_7:Test (Best Model) - Loss: 1.6100 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 1.3579 - Accuracy: 0.3333 - F1: 0.2378
sub_1:Test (Best Model) - Loss: 1.5267 - Accuracy: 0.3429 - F1: 0.2143
sub_3:Test (Best Model) - Loss: 1.6103 - Accuracy: 0.2048 - F1: 0.1110
sub_4:Test (Best Model) - Loss: 1.5987 - Accuracy: 0.2143 - F1: 0.1047
sub_6:Test (Best Model) - Loss: 1.6093 - Accuracy: 0.2000 - F1: 0.0667
sub_2:Test (Best Model) - Loss: 1.6053 - Accuracy: 0.2619 - F1: 0.1657
sub_7:Test (Best Model) - Loss: 1.6099 - Accuracy: 0.2000 - F1: 0.0667
sub_4:Test (Best Model) - Loss: 1.6045 - Accuracy: 0.2000 - F1: 0.0843
sub_5:Test (Best Model) - Loss: 1.3714 - Accuracy: 0.4095 - F1: 0.3808
sub_1:Test (Best Model) - Loss: 1.6093 - Accuracy: 0.2000 - F1: 0.0667
sub_3:Test (Best Model) - Loss: 1.6087 - Accuracy: 0.1952 - F1: 0.0680
sub_7:Test (Best Model) - Loss: 1.6096 - Accuracy: 0.2000 - F1: 0.0667
sub_5:Test (Best Model) - Loss: 1.6070 - Accuracy: 0.2190 - F1: 0.1203
sub_3:Test (Best Model) - Loss: 1.6057 - Accuracy: 0.2857 - F1: 0.1652
sub_4:Test (Best Model) - Loss: 1.6093 - Accuracy: 0.2190 - F1: 0.1026
sub_2:Test (Best Model) - Loss: 1.5423 - Accuracy: 0.2952 - F1: 0.1890
sub_6:Test (Best Model) - Loss: 1.6444 - Accuracy: 0.2476 - F1: 0.1580
sub_1:Test (Best Model) - Loss: 1.4183 - Accuracy: 0.3810 - F1: 0.2189
sub_7:Test (Best Model) - Loss: 1.6079 - Accuracy: 0.1905 - F1: 0.0722
sub_2:Test (Best Model) - Loss: 1.6093 - Accuracy: 0.2000 - F1: 0.0680
sub_3:Test (Best Model) - Loss: 1.6077 - Accuracy: 0.2381 - F1: 0.1210
sub_4:Test (Best Model) - Loss: 1.5881 - Accuracy: 0.3381 - F1: 0.2168
sub_5:Test (Best Model) - Loss: 1.6368 - Accuracy: 0.1095 - F1: 0.0618
sub_4:Test (Best Model) - Loss: 1.6086 - Accuracy: 0.2238 - F1: 0.1141
sub_1:Test (Best Model) - Loss: 1.5959 - Accuracy: 0.2714 - F1: 0.1560
sub_2:Test (Best Model) - Loss: 1.5771 - Accuracy: 0.2952 - F1: 0.1802
sub_3:Test (Best Model) - Loss: 1.5863 - Accuracy: 0.2286 - F1: 0.1393
sub_5:Test (Best Model) - Loss: 1.5928 - Accuracy: 0.3190 - F1: 0.2246
sub_2:Test (Best Model) - Loss: 1.6052 - Accuracy: 0.2810 - F1: 0.1623
sub_1:Test (Best Model) - Loss: 1.5901 - Accuracy: 0.2333 - F1: 0.1190
sub_5:Test (Best Model) - Loss: 1.6095 - Accuracy: 0.2000 - F1: 0.0669
sub_5:Test (Best Model) - Loss: 1.6062 - Accuracy: 0.2095 - F1: 0.1065
sub_5:Test (Best Model) - Loss: 1.5545 - Accuracy: 0.3095 - F1: 0.2352
sub_2:Test (Best Model) - Loss: 1.5205 - Accuracy: 0.2905 - F1: 0.2030
sub_12:Test (Best Model) - Loss: 1.5874 - Accuracy: 0.3524 - F1: 0.2185
sub_9:Test (Best Model) - Loss: 1.6054 - Accuracy: 0.2000 - F1: 0.0667
sub_13:Test (Best Model) - Loss: 1.6100 - Accuracy: 0.2000 - F1: 0.0667
sub_11:Test (Best Model) - Loss: 1.6082 - Accuracy: 0.2000 - F1: 0.0667
sub_14:Test (Best Model) - Loss: 1.6107 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.4029 - Accuracy: 0.3333 - F1: 0.2053
sub_8:Test (Best Model) - Loss: 1.1913 - Accuracy: 0.3905 - F1: 0.2709
sub_12:Test (Best Model) - Loss: 1.5699 - Accuracy: 0.2619 - F1: 0.1678
sub_11:Test (Best Model) - Loss: 1.7262 - Accuracy: 0.2000 - F1: 0.0672
sub_13:Test (Best Model) - Loss: 1.5418 - Accuracy: 0.2429 - F1: 0.1431
sub_9:Test (Best Model) - Loss: 1.2084 - Accuracy: 0.4571 - F1: 0.4196
sub_12:Test (Best Model) - Loss: 1.6123 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.4989 - Accuracy: 0.3000 - F1: 0.1859
sub_13:Test (Best Model) - Loss: 1.5991 - Accuracy: 0.2000 - F1: 0.0667
sub_9:Test (Best Model) - Loss: 1.6044 - Accuracy: 0.2000 - F1: 0.0667
sub_14:Test (Best Model) - Loss: 1.4856 - Accuracy: 0.3571 - F1: 0.3092
sub_12:Test (Best Model) - Loss: 1.6094 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.6095 - Accuracy: 0.2000 - F1: 0.0667
sub_13:Test (Best Model) - Loss: 1.6067 - Accuracy: 0.2000 - F1: 0.0667
sub_11:Test (Best Model) - Loss: 2.2415 - Accuracy: 0.2190 - F1: 0.1040
sub_14:Test (Best Model) - Loss: 1.6042 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 1.6103 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.6095 - Accuracy: 0.2000 - F1: 0.0667
sub_13:Test (Best Model) - Loss: 1.6038 - Accuracy: 0.2000 - F1: 0.0667
sub_11:Test (Best Model) - Loss: 1.6080 - Accuracy: 0.2000 - F1: 0.0667
sub_14:Test (Best Model) - Loss: 1.6092 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.6080 - Accuracy: 0.2000 - F1: 0.0667
sub_9:Test (Best Model) - Loss: 1.2334 - Accuracy: 0.3571 - F1: 0.2618
sub_11:Test (Best Model) - Loss: 1.6074 - Accuracy: 0.2000 - F1: 0.0667
sub_14:Test (Best Model) - Loss: 1.6106 - Accuracy: 0.2000 - F1: 0.0667
sub_8:Test (Best Model) - Loss: 1.3559 - Accuracy: 0.3905 - F1: 0.3154
sub_13:Test (Best Model) - Loss: 1.5946 - Accuracy: 0.3429 - F1: 0.2092
sub_9:Test (Best Model) - Loss: 1.6098 - Accuracy: 0.2000 - F1: 0.0667
sub_8:Test (Best Model) - Loss: 1.6052 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 1.2588 - Accuracy: 0.3143 - F1: 0.2806
sub_14:Test (Best Model) - Loss: 1.5963 - Accuracy: 0.3857 - F1: 0.2677
sub_11:Test (Best Model) - Loss: 1.3695 - Accuracy: 0.3333 - F1: 0.2288
sub_8:Test (Best Model) - Loss: 1.6012 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.3215 - Accuracy: 0.3952 - F1: 0.2679
sub_13:Test (Best Model) - Loss: 1.4616 - Accuracy: 0.3429 - F1: 0.2289
sub_9:Test (Best Model) - Loss: 1.3818 - Accuracy: 0.3476 - F1: 0.2443
sub_8:Test (Best Model) - Loss: 1.6048 - Accuracy: 0.2000 - F1: 0.0667
sub_12:Test (Best Model) - Loss: 1.2860 - Accuracy: 0.3762 - F1: 0.2867
sub_9:Test (Best Model) - Loss: 1.4340 - Accuracy: 0.3905 - F1: 0.2528
sub_10:Test (Best Model) - Loss: 1.3926 - Accuracy: 0.3857 - F1: 0.2802
sub_14:Test (Best Model) - Loss: 1.3513 - Accuracy: 0.3667 - F1: 0.2830
sub_11:Test (Best Model) - Loss: 1.4365 - Accuracy: 0.3952 - F1: 0.2911
sub_12:Test (Best Model) - Loss: 1.5963 - Accuracy: 0.3190 - F1: 0.2173
sub_8:Test (Best Model) - Loss: 1.5428 - Accuracy: 0.4000 - F1: 0.2725
sub_13:Test (Best Model) - Loss: 1.3572 - Accuracy: 0.4143 - F1: 0.3806
sub_14:Test (Best Model) - Loss: 1.6075 - Accuracy: 0.2048 - F1: 0.0764
sub_9:Test (Best Model) - Loss: 1.2555 - Accuracy: 0.3810 - F1: 0.2739
sub_12:Test (Best Model) - Loss: 1.6095 - Accuracy: 0.2000 - F1: 0.0667
sub_10:Test (Best Model) - Loss: 1.5319 - Accuracy: 0.3524 - F1: 0.2309
sub_13:Test (Best Model) - Loss: 1.6036 - Accuracy: 0.2095 - F1: 0.0852
sub_12:Test (Best Model) - Loss: 1.5866 - Accuracy: 0.4286 - F1: 0.3135
sub_11:Test (Best Model) - Loss: 1.2677 - Accuracy: 0.3952 - F1: 0.2747
sub_14:Test (Best Model) - Loss: 1.6086 - Accuracy: 0.2000 - F1: 0.0667
sub_8:Test (Best Model) - Loss: 1.5311 - Accuracy: 0.2762 - F1: 0.1599
sub_10:Test (Best Model) - Loss: 1.6023 - Accuracy: 0.3286 - F1: 0.2260
sub_14:Test (Best Model) - Loss: 1.6078 - Accuracy: 0.2000 - F1: 0.0667
sub_9:Test (Best Model) - Loss: 1.2501 - Accuracy: 0.3905 - F1: 0.2848
sub_8:Test (Best Model) - Loss: 1.2040 - Accuracy: 0.4000 - F1: 0.2866
sub_12:Test (Best Model) - Loss: 1.5390 - Accuracy: 0.3524 - F1: 0.2497
sub_13:Test (Best Model) - Loss: 1.4835 - Accuracy: 0.3429 - F1: 0.2277
sub_12:Test (Best Model) - Loss: 1.6057 - Accuracy: 0.2524 - F1: 0.1560
sub_11:Test (Best Model) - Loss: 1.3496 - Accuracy: 0.3762 - F1: 0.2909
sub_14:Test (Best Model) - Loss: 1.9122 - Accuracy: 0.2190 - F1: 0.1031
sub_13:Test (Best Model) - Loss: 1.5440 - Accuracy: 0.3429 - F1: 0.2196
sub_9:Test (Best Model) - Loss: 1.1898 - Accuracy: 0.4429 - F1: 0.3669
sub_14:Test (Best Model) - Loss: 1.6097 - Accuracy: 0.2000 - F1: 0.0667
sub_13:Test (Best Model) - Loss: 1.6073 - Accuracy: 0.2000 - F1: 0.0697
sub_12:Test (Best Model) - Loss: 1.3442 - Accuracy: 0.3619 - F1: 0.2587
sub_11:Test (Best Model) - Loss: 1.4041 - Accuracy: 0.4095 - F1: 0.2669
sub_9:Test (Best Model) - Loss: 1.6077 - Accuracy: 0.2333 - F1: 0.1276
sub_8:Test (Best Model) - Loss: 1.2685 - Accuracy: 0.4048 - F1: 0.3411
sub_14:Test (Best Model) - Loss: 1.6086 - Accuracy: 0.2190 - F1: 0.1062
sub_10:Test (Best Model) - Loss: 1.4789 - Accuracy: 0.3476 - F1: 0.2732
sub_12:Test (Best Model) - Loss: 1.5966 - Accuracy: 0.2714 - F1: 0.1637
sub_8:Test (Best Model) - Loss: 1.6089 - Accuracy: 0.2000 - F1: 0.0667
sub_14:Test (Best Model) - Loss: 1.6085 - Accuracy: 0.2000 - F1: 0.0667
sub_13:Test (Best Model) - Loss: 1.5356 - Accuracy: 0.3524 - F1: 0.2284
sub_10:Test (Best Model) - Loss: 1.6095 - Accuracy: 0.1905 - F1: 0.0781
sub_12:Test (Best Model) - Loss: 1.5915 - Accuracy: 0.2143 - F1: 0.1208
sub_14:Test (Best Model) - Loss: 1.6099 - Accuracy: 0.2000 - F1: 0.0667
sub_9:Test (Best Model) - Loss: 1.2097 - Accuracy: 0.3476 - F1: 0.2593
sub_11:Test (Best Model) - Loss: 1.5838 - Accuracy: 0.2571 - F1: 0.1584
sub_8:Test (Best Model) - Loss: 1.4206 - Accuracy: 0.3667 - F1: 0.2638
sub_13:Test (Best Model) - Loss: 1.5868 - Accuracy: 0.3429 - F1: 0.1959
sub_10:Test (Best Model) - Loss: 1.6221 - Accuracy: 0.2333 - F1: 0.1296
sub_13:Test (Best Model) - Loss: 1.6086 - Accuracy: 0.2000 - F1: 0.0667
sub_9:Test (Best Model) - Loss: 1.4994 - Accuracy: 0.2143 - F1: 0.2081
sub_10:Test (Best Model) - Loss: 1.6088 - Accuracy: 0.2000 - F1: 0.0667
sub_8:Test (Best Model) - Loss: 1.3070 - Accuracy: 0.3810 - F1: 0.2561
sub_11:Test (Best Model) - Loss: 1.5729 - Accuracy: 0.2952 - F1: 0.1907
sub_10:Test (Best Model) - Loss: 1.6092 - Accuracy: 0.2619 - F1: 0.1540
sub_9:Test (Best Model) - Loss: 1.3990 - Accuracy: 0.4143 - F1: 0.3453
sub_11:Test (Best Model) - Loss: 1.5531 - Accuracy: 0.2571 - F1: 0.1527
sub_9:Test (Best Model) - Loss: 1.6060 - Accuracy: 0.2190 - F1: 0.1095
sub_8:Test (Best Model) - Loss: 1.2176 - Accuracy: 0.3810 - F1: 0.2671
sub_10:Test (Best Model) - Loss: 1.5169 - Accuracy: 0.2905 - F1: 0.2183
sub_11:Test (Best Model) - Loss: 1.5309 - Accuracy: 0.3000 - F1: 0.2065
sub_8:Test (Best Model) - Loss: 1.4600 - Accuracy: 0.3190 - F1: 0.2017
sub_11:Test (Best Model) - Loss: 1.6782 - Accuracy: 0.2571 - F1: 0.1709
sub_8:Test (Best Model) - Loss: 1.4101 - Accuracy: 0.3667 - F1: 0.2619

=== Summary Results ===

acc: 26.06 ± 3.73
F1: 14.63 ± 4.22
acc-in: 28.70 ± 4.68
F1-in: 16.90 ± 5.17
runing time: 1007.79 seconds
