--- library_name: transformers license: apache-2.0 base_model: bert-base-uncased tags: - generated_from_trainer metrics: - f1 - accuracy model-index: - name: newly_fine_tuned_bert results: [] --- # newly_fine_tuned_bert This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0712 - F1: 0.0 - Roc Auc: 0.5 - Accuracy: 0.0 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 200 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:---:|:-------:|:--------:| | No log | 1.0 | 11 | 0.6146 | 0.0 | 0.5 | 0.0 | | No log | 2.0 | 22 | 0.4957 | 0.0 | 0.5 | 0.0 | | No log | 3.0 | 33 | 0.3993 | 0.0 | 0.5 | 0.0 | | No log | 4.0 | 44 | 0.3376 | 0.0 | 0.5 | 0.0 | | No log | 5.0 | 55 | 0.2925 | 0.0 | 0.5 | 0.0 | | No log | 6.0 | 66 | 0.2579 | 0.0 | 0.5 | 0.0 | | No log | 7.0 | 77 | 0.2311 | 0.0 | 0.5 | 0.0 | | No log | 8.0 | 88 | 0.2101 | 0.0 | 0.5 | 0.0 | | No log | 9.0 | 99 | 0.1933 | 0.0 | 0.5 | 0.0 | | No log | 10.0 | 110 | 0.1804 | 0.0 | 0.5 | 0.0 | | No log | 11.0 | 121 | 0.1688 | 0.0 | 0.5 | 0.0 | | No log | 12.0 | 132 | 0.1594 | 0.0 | 0.5 | 0.0 | | No log | 13.0 | 143 | 0.1524 | 0.0 | 0.5 | 0.0 | | No log | 14.0 | 154 | 0.1461 | 0.0 | 0.5 | 0.0 | | No log | 15.0 | 165 | 0.1409 | 0.0 | 0.5 | 0.0 | | No log | 16.0 | 176 | 0.1371 | 0.0 | 0.5 | 0.0 | | No log | 17.0 | 187 | 0.1333 | 0.0 | 0.5 | 0.0 | | No log | 18.0 | 198 | 0.1304 | 0.0 | 0.5 | 0.0 | | No log | 19.0 | 209 | 0.1278 | 0.0 | 0.5 | 0.0 | | No log | 20.0 | 220 | 0.1258 | 0.0 | 0.5 | 0.0 | | No log | 21.0 | 231 | 0.1240 | 0.0 | 0.5 | 0.0 | | No log | 22.0 | 242 | 0.1224 | 0.0 | 0.5 | 0.0 | | No log | 23.0 | 253 | 0.1212 | 0.0 | 0.5 | 0.0 | | No log | 24.0 | 264 | 0.1200 | 0.0 | 0.5 | 0.0 | | No log | 25.0 | 275 | 0.1190 | 0.0 | 0.5 | 0.0 | | No log | 26.0 | 286 | 0.1182 | 0.0 | 0.5 | 0.0 | | No log | 27.0 | 297 | 0.1174 | 0.0 | 0.5 | 0.0 | | No log | 28.0 | 308 | 0.1167 | 0.0 | 0.5 | 0.0 | | No log | 29.0 | 319 | 0.1161 | 0.0 | 0.5 | 0.0 | | No log | 30.0 | 330 | 0.1155 | 0.0 | 0.5 | 0.0 | | No log | 31.0 | 341 | 0.1150 | 0.0 | 0.5 | 0.0 | | No log | 32.0 | 352 | 0.1146 | 0.0 | 0.5 | 0.0 | | No log | 33.0 | 363 | 0.1143 | 0.0 | 0.5 | 0.0 | | No log | 34.0 | 374 | 0.1138 | 0.0 | 0.5 | 0.0 | | No log | 35.0 | 385 | 0.1135 | 0.0 | 0.5 | 0.0 | | No log | 36.0 | 396 | 0.1131 | 0.0 | 0.5 | 0.0 | | No log | 37.0 | 407 | 0.1127 | 0.0 | 0.5 | 0.0 | | No log | 38.0 | 418 | 0.1124 | 0.0 | 0.5 | 0.0 | | No log | 39.0 | 429 | 0.1123 | 0.0 | 0.5 | 0.0 | | No log | 40.0 | 440 | 0.1118 | 0.0 | 0.5 | 0.0 | | No log | 41.0 | 451 | 0.1112 | 0.0 | 0.5 | 0.0 | | No log | 42.0 | 462 | 0.1113 | 0.0 | 0.5 | 0.0 | | No log | 43.0 | 473 | 0.1110 | 0.0 | 0.5 | 0.0 | | No log | 44.0 | 484 | 0.1104 | 0.0 | 0.5 | 0.0 | | No log | 45.0 | 495 | 0.1099 | 0.0 | 0.5 | 0.0 | | 0.1737 | 46.0 | 506 | 0.1097 | 0.0 | 0.5 | 0.0 | | 0.1737 | 47.0 | 517 | 0.1094 | 0.0 | 0.5 | 0.0 | | 0.1737 | 48.0 | 528 | 0.1090 | 0.0 | 0.5 | 0.0 | | 0.1737 | 49.0 | 539 | 0.1087 | 0.0 | 0.5 | 0.0 | | 0.1737 | 50.0 | 550 | 0.1088 | 0.0 | 0.5 | 0.0 | | 0.1737 | 51.0 | 561 | 0.1081 | 0.0 | 0.5 | 0.0 | | 0.1737 | 52.0 | 572 | 0.1075 | 0.0 | 0.5 | 0.0 | | 0.1737 | 53.0 | 583 | 0.1074 | 0.0 | 0.5 | 0.0 | | 0.1737 | 54.0 | 594 | 0.1065 | 0.0 | 0.5 | 0.0 | | 0.1737 | 55.0 | 605 | 0.1067 | 0.0 | 0.5 | 0.0 | | 0.1737 | 56.0 | 616 | 0.1058 | 0.0 | 0.5 | 0.0 | | 0.1737 | 57.0 | 627 | 0.1055 | 0.0 | 0.5 | 0.0 | | 0.1737 | 58.0 | 638 | 0.1045 | 0.0 | 0.5 | 0.0 | | 0.1737 | 59.0 | 649 | 0.1046 | 0.0 | 0.5 | 0.0 | | 0.1737 | 60.0 | 660 | 0.1041 | 0.0 | 0.5 | 0.0 | | 0.1737 | 61.0 | 671 | 0.1034 | 0.0 | 0.5 | 0.0 | | 0.1737 | 62.0 | 682 | 0.1028 | 0.0 | 0.5 | 0.0 | | 0.1737 | 63.0 | 693 | 0.1023 | 0.0 | 0.5 | 0.0 | | 0.1737 | 64.0 | 704 | 0.1017 | 0.0 | 0.5 | 0.0 | | 0.1737 | 65.0 | 715 | 0.1014 | 0.0 | 0.5 | 0.0 | | 0.1737 | 66.0 | 726 | 0.1002 | 0.0 | 0.5 | 0.0 | | 0.1737 | 67.0 | 737 | 0.1002 | 0.0 | 0.5 | 0.0 | | 0.1737 | 68.0 | 748 | 0.0996 | 0.0 | 0.5 | 0.0 | | 0.1737 | 69.0 | 759 | 0.0991 | 0.0 | 0.5 | 0.0 | | 0.1737 | 70.0 | 770 | 0.0984 | 0.0 | 0.5 | 0.0 | | 0.1737 | 71.0 | 781 | 0.0988 | 0.0 | 0.5 | 0.0 | | 0.1737 | 72.0 | 792 | 0.0979 | 0.0 | 0.5 | 0.0 | | 0.1737 | 73.0 | 803 | 0.0973 | 0.0 | 0.5 | 0.0 | | 0.1737 | 74.0 | 814 | 0.0968 | 0.0 | 0.5 | 0.0 | | 0.1737 | 75.0 | 825 | 0.0958 | 0.0 | 0.5 | 0.0 | | 0.1737 | 76.0 | 836 | 0.0957 | 0.0 | 0.5 | 0.0 | | 0.1737 | 77.0 | 847 | 0.0955 | 0.0 | 0.5 | 0.0 | | 0.1737 | 78.0 | 858 | 0.0945 | 0.0 | 0.5 | 0.0 | | 0.1737 | 79.0 | 869 | 0.0943 | 0.0 | 0.5 | 0.0 | | 0.1737 | 80.0 | 880 | 0.0936 | 0.0 | 0.5 | 0.0 | | 0.1737 | 81.0 | 891 | 0.0934 | 0.0 | 0.5 | 0.0 | | 0.1737 | 82.0 | 902 | 0.0931 | 0.0 | 0.5 | 0.0 | | 0.1737 | 83.0 | 913 | 0.0930 | 0.0 | 0.5 | 0.0 | | 0.1737 | 84.0 | 924 | 0.0920 | 0.0 | 0.5 | 0.0 | | 0.1737 | 85.0 | 935 | 0.0910 | 0.0 | 0.5 | 0.0 | | 0.1737 | 86.0 | 946 | 0.0915 | 0.0 | 0.5 | 0.0 | | 0.1737 | 87.0 | 957 | 0.0905 | 0.0 | 0.5 | 0.0 | | 0.1737 | 88.0 | 968 | 0.0902 | 0.0 | 0.5 | 0.0 | | 0.1737 | 89.0 | 979 | 0.0894 | 0.0 | 0.5 | 0.0 | | 0.1737 | 90.0 | 990 | 0.0892 | 0.0 | 0.5 | 0.0 | | 0.0887 | 91.0 | 1001 | 0.0889 | 0.0 | 0.5 | 0.0 | | 0.0887 | 92.0 | 1012 | 0.0882 | 0.0 | 0.5 | 0.0 | | 0.0887 | 93.0 | 1023 | 0.0877 | 0.0 | 0.5 | 0.0 | | 0.0887 | 94.0 | 1034 | 0.0882 | 0.0 | 0.5 | 0.0 | | 0.0887 | 95.0 | 1045 | 0.0877 | 0.0 | 0.5 | 0.0 | | 0.0887 | 96.0 | 1056 | 0.0872 | 0.0 | 0.5 | 0.0 | | 0.0887 | 97.0 | 1067 | 0.0870 | 0.0 | 0.5 | 0.0 | | 0.0887 | 98.0 | 1078 | 0.0872 | 0.0 | 0.5 | 0.0 | | 0.0887 | 99.0 | 1089 | 0.0861 | 0.0 | 0.5 | 0.0 | | 0.0887 | 100.0 | 1100 | 0.0862 | 0.0 | 0.5 | 0.0 | | 0.0887 | 101.0 | 1111 | 0.0853 | 0.0 | 0.5 | 0.0 | | 0.0887 | 102.0 | 1122 | 0.0846 | 0.0 | 0.5 | 0.0 | | 0.0887 | 103.0 | 1133 | 0.0847 | 0.0 | 0.5 | 0.0 | | 0.0887 | 104.0 | 1144 | 0.0839 | 0.0 | 0.5 | 0.0 | | 0.0887 | 105.0 | 1155 | 0.0836 | 0.0 | 0.5 | 0.0 | | 0.0887 | 106.0 | 1166 | 0.0833 | 0.0 | 0.5 | 0.0 | | 0.0887 | 107.0 | 1177 | 0.0834 | 0.0 | 0.5 | 0.0 | | 0.0887 | 108.0 | 1188 | 0.0830 | 0.0 | 0.5 | 0.0 | | 0.0887 | 109.0 | 1199 | 0.0821 | 0.0 | 0.5 | 0.0 | | 0.0887 | 110.0 | 1210 | 0.0825 | 0.0 | 0.5 | 0.0 | | 0.0887 | 111.0 | 1221 | 0.0818 | 0.0 | 0.5 | 0.0 | | 0.0887 | 112.0 | 1232 | 0.0816 | 0.0 | 0.5 | 0.0 | | 0.0887 | 113.0 | 1243 | 0.0807 | 0.0 | 0.5 | 0.0 | | 0.0887 | 114.0 | 1254 | 0.0811 | 0.0 | 0.5 | 0.0 | | 0.0887 | 115.0 | 1265 | 0.0808 | 0.0 | 0.5 | 0.0 | | 0.0887 | 116.0 | 1276 | 0.0806 | 0.0 | 0.5 | 0.0 | | 0.0887 | 117.0 | 1287 | 0.0807 | 0.0 | 0.5 | 0.0 | | 0.0887 | 118.0 | 1298 | 0.0802 | 0.0 | 0.5 | 0.0 | | 0.0887 | 119.0 | 1309 | 0.0795 | 0.0 | 0.5 | 0.0 | | 0.0887 | 120.0 | 1320 | 0.0796 | 0.0 | 0.5 | 0.0 | | 0.0887 | 121.0 | 1331 | 0.0791 | 0.0 | 0.5 | 0.0 | | 0.0887 | 122.0 | 1342 | 0.0792 | 0.0 | 0.5 | 0.0 | | 0.0887 | 123.0 | 1353 | 0.0783 | 0.0 | 0.5 | 0.0 | | 0.0887 | 124.0 | 1364 | 0.0780 | 0.0 | 0.5 | 0.0 | | 0.0887 | 125.0 | 1375 | 0.0784 | 0.0 | 0.5 | 0.0 | | 0.0887 | 126.0 | 1386 | 0.0781 | 0.0 | 0.5 | 0.0 | | 0.0887 | 127.0 | 1397 | 0.0773 | 0.0 | 0.5 | 0.0 | | 0.0887 | 128.0 | 1408 | 0.0779 | 0.0 | 0.5 | 0.0 | | 0.0887 | 129.0 | 1419 | 0.0775 | 0.0 | 0.5 | 0.0 | | 0.0887 | 130.0 | 1430 | 0.0775 | 0.0 | 0.5 | 0.0 | | 0.0887 | 131.0 | 1441 | 0.0773 | 0.0 | 0.5 | 0.0 | | 0.0887 | 132.0 | 1452 | 0.0764 | 0.0 | 0.5 | 0.0 | | 0.0887 | 133.0 | 1463 | 0.0771 | 0.0 | 0.5 | 0.0 | | 0.0887 | 134.0 | 1474 | 0.0766 | 0.0 | 0.5 | 0.0 | | 0.0887 | 135.0 | 1485 | 0.0760 | 0.0 | 0.5 | 0.0 | | 0.0887 | 136.0 | 1496 | 0.0757 | 0.0 | 0.5 | 0.0 | | 0.0598 | 137.0 | 1507 | 0.0756 | 0.0 | 0.5 | 0.0 | | 0.0598 | 138.0 | 1518 | 0.0755 | 0.0 | 0.5 | 0.0 | | 0.0598 | 139.0 | 1529 | 0.0758 | 0.0 | 0.5 | 0.0 | | 0.0598 | 140.0 | 1540 | 0.0752 | 0.0 | 0.5 | 0.0 | | 0.0598 | 141.0 | 1551 | 0.0750 | 0.0 | 0.5 | 0.0 | | 0.0598 | 142.0 | 1562 | 0.0748 | 0.0 | 0.5 | 0.0 | | 0.0598 | 143.0 | 1573 | 0.0747 | 0.0 | 0.5 | 0.0 | | 0.0598 | 144.0 | 1584 | 0.0744 | 0.0 | 0.5 | 0.0 | | 0.0598 | 145.0 | 1595 | 0.0744 | 0.0 | 0.5 | 0.0 | | 0.0598 | 146.0 | 1606 | 0.0750 | 0.0 | 0.5 | 0.0 | | 0.0598 | 147.0 | 1617 | 0.0748 | 0.0 | 0.5 | 0.0 | | 0.0598 | 148.0 | 1628 | 0.0740 | 0.0 | 0.5 | 0.0 | | 0.0598 | 149.0 | 1639 | 0.0741 | 0.0 | 0.5 | 0.0 | | 0.0598 | 150.0 | 1650 | 0.0739 | 0.0 | 0.5 | 0.0 | | 0.0598 | 151.0 | 1661 | 0.0742 | 0.0 | 0.5 | 0.0 | | 0.0598 | 152.0 | 1672 | 0.0737 | 0.0 | 0.5 | 0.0 | | 0.0598 | 153.0 | 1683 | 0.0737 | 0.0 | 0.5 | 0.0 | | 0.0598 | 154.0 | 1694 | 0.0736 | 0.0 | 0.5 | 0.0 | | 0.0598 | 155.0 | 1705 | 0.0733 | 0.0 | 0.5 | 0.0 | | 0.0598 | 156.0 | 1716 | 0.0736 | 0.0 | 0.5 | 0.0 | | 0.0598 | 157.0 | 1727 | 0.0737 | 0.0 | 0.5 | 0.0 | | 0.0598 | 158.0 | 1738 | 0.0732 | 0.0 | 0.5 | 0.0 | | 0.0598 | 159.0 | 1749 | 0.0732 | 0.0 | 0.5 | 0.0 | | 0.0598 | 160.0 | 1760 | 0.0730 | 0.0 | 0.5 | 0.0 | | 0.0598 | 161.0 | 1771 | 0.0726 | 0.0 | 0.5 | 0.0 | | 0.0598 | 162.0 | 1782 | 0.0726 | 0.0 | 0.5 | 0.0 | | 0.0598 | 163.0 | 1793 | 0.0725 | 0.0 | 0.5 | 0.0 | | 0.0598 | 164.0 | 1804 | 0.0728 | 0.0 | 0.5 | 0.0 | | 0.0598 | 165.0 | 1815 | 0.0726 | 0.0 | 0.5 | 0.0 | | 0.0598 | 166.0 | 1826 | 0.0721 | 0.0 | 0.5 | 0.0 | | 0.0598 | 167.0 | 1837 | 0.0724 | 0.0 | 0.5 | 0.0 | | 0.0598 | 168.0 | 1848 | 0.0722 | 0.0 | 0.5 | 0.0 | | 0.0598 | 169.0 | 1859 | 0.0724 | 0.0 | 0.5 | 0.0 | | 0.0598 | 170.0 | 1870 | 0.0727 | 0.0 | 0.5 | 0.0 | | 0.0598 | 171.0 | 1881 | 0.0727 | 0.0 | 0.5 | 0.0 | | 0.0598 | 172.0 | 1892 | 0.0721 | 0.0 | 0.5 | 0.0 | | 0.0598 | 173.0 | 1903 | 0.0719 | 0.0 | 0.5 | 0.0 | | 0.0598 | 174.0 | 1914 | 0.0718 | 0.0 | 0.5 | 0.0 | | 0.0598 | 175.0 | 1925 | 0.0718 | 0.0 | 0.5 | 0.0 | | 0.0598 | 176.0 | 1936 | 0.0716 | 0.0 | 0.5 | 0.0 | | 0.0598 | 177.0 | 1947 | 0.0720 | 0.0 | 0.5 | 0.0 | | 0.0598 | 178.0 | 1958 | 0.0720 | 0.0 | 0.5 | 0.0 | | 0.0598 | 179.0 | 1969 | 0.0716 | 0.0 | 0.5 | 0.0 | | 0.0598 | 180.0 | 1980 | 0.0716 | 0.0 | 0.5 | 0.0 | | 0.0598 | 181.0 | 1991 | 0.0715 | 0.0 | 0.5 | 0.0 | | 0.0458 | 182.0 | 2002 | 0.0713 | 0.0 | 0.5 | 0.0 | | 0.0458 | 183.0 | 2013 | 0.0714 | 0.0 | 0.5 | 0.0 | | 0.0458 | 184.0 | 2024 | 0.0714 | 0.0 | 0.5 | 0.0 | | 0.0458 | 185.0 | 2035 | 0.0714 | 0.0 | 0.5 | 0.0 | | 0.0458 | 186.0 | 2046 | 0.0712 | 0.0 | 0.5 | 0.0 | | 0.0458 | 187.0 | 2057 | 0.0713 | 0.0 | 0.5 | 0.0 | | 0.0458 | 188.0 | 2068 | 0.0714 | 0.0 | 0.5 | 0.0 | | 0.0458 | 189.0 | 2079 | 0.0713 | 0.0 | 0.5 | 0.0 | | 0.0458 | 190.0 | 2090 | 0.0712 | 0.0 | 0.5 | 0.0 | | 0.0458 | 191.0 | 2101 | 0.0711 | 0.0 | 0.5 | 0.0 | | 0.0458 | 192.0 | 2112 | 0.0711 | 0.0 | 0.5 | 0.0 | | 0.0458 | 193.0 | 2123 | 0.0711 | 0.0 | 0.5 | 0.0 | | 0.0458 | 194.0 | 2134 | 0.0712 | 0.0 | 0.5 | 0.0 | | 0.0458 | 195.0 | 2145 | 0.0712 | 0.0 | 0.5 | 0.0 | | 0.0458 | 196.0 | 2156 | 0.0711 | 0.0 | 0.5 | 0.0 | | 0.0458 | 197.0 | 2167 | 0.0712 | 0.0 | 0.5 | 0.0 | | 0.0458 | 198.0 | 2178 | 0.0712 | 0.0 | 0.5 | 0.0 | | 0.0458 | 199.0 | 2189 | 0.0712 | 0.0 | 0.5 | 0.0 | | 0.0458 | 200.0 | 2200 | 0.0712 | 0.0 | 0.5 | 0.0 | ### Framework versions - Transformers 4.45.2 - Pytorch 2.4.0+cu124 - Datasets 3.0.1 - Tokenizers 0.20.1