favs_sort_classification_v2

作者 nguyenkhoa2407 · 下载 1 · 点赞 0 · 更新 2023-11-01

generated_from_trainer

favs_sort_classification_v2

This model is a fine-tuned version of bert-base-cased on the sort_v2 dataset. It achieves the following results on the evaluation set:

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:

Training results

Training Loss Epoch Step Validation Loss F1 Roc Auc Accuracy
0.5589 1.0 21 0.5325 0.4815 0.6585 0.0345
0.4621 2.0 42 0.4465 0.5225 0.6780 0.0
0.4144 3.0 63 0.4131 0.5950 0.7172 0.0345
0.3669 4.0 84 0.3793 0.6167 0.7279 0.0345
0.3524 5.0 105 0.3455 0.6880 0.7689 0.0690
0.2987 6.0 126 0.3086 0.8116 0.8533 0.4138
0.2734 7.0 147 0.2767 0.8392 0.8772 0.5172
0.2532 8.0 168 0.2483 0.8472 0.8837 0.5172
0.2166 9.0 189 0.2285 0.8707 0.9032 0.5862
0.19 10.0 210 0.2012 0.9459 0.9525 0.7586
0.1833 11.0 231 0.1856 0.9530 0.9590 0.7931
0.1751 12.0 252 0.1748 0.9595 0.9610 0.7931
0.173 13.0 273 0.1633 0.9467 0.9569 0.7931
0.16 14.0 294 0.1553 0.9801 0.9805 0.8966
0.1396 15.0 315 0.1503 0.9733 0.9740 0.8621
0.1467 16.0 336 0.1417 0.9737 0.9785 0.8621
0.1271 17.0 357 0.1380 0.9669 0.9720 0.8621
0.1228 18.0 378 0.1346 0.9669 0.9720 0.8621
0.1257 19.0 399 0.1308 0.9801 0.9805 0.8966
0.1156 20.0 420 0.1280 0.9801 0.9805 0.8966
0.1242 21.0 441 0.1250 0.9801 0.9805 0.8966
0.1146 22.0 462 0.1236 0.9801 0.9805 0.8966
0.1262 23.0 483 0.1228 0.9801 0.9805 0.8966
0.1268 24.0 504 0.1227 0.9801 0.9805 0.8966
0.1133 25.0 525 0.1224 0.9801 0.9805 0.8966

Framework versions