favs_filter_classification_v2

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

generated_from_trainer

favs_filter_classification_v2

This model is a fine-tuned version of bert-base-cased on the filter_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
0.6596 1.0 16 0.6086 0.2687 0.5474 0.0
0.5448 2.0 32 0.5354 0.3824 0.6063 0.0
0.5106 3.0 48 0.4874 0.4444 0.6382 0.0455
0.4353 4.0 64 0.4301 0.5352 0.6889 0.1818
0.3699 5.0 80 0.3890 0.6579 0.7640 0.3636
0.349 6.0 96 0.3663 0.6667 0.7633 0.3182
0.3104 7.0 112 0.3327 0.7105 0.7953 0.4545
0.3023 8.0 128 0.2971 0.7733 0.8303 0.5455
0.2676 9.0 144 0.2766 0.8395 0.8861 0.7727
0.2374 10.0 160 0.2541 0.8537 0.8980 0.7727
0.2238 11.0 176 0.2399 0.9024 0.9293 0.8182
0.2084 12.0 192 0.2221 0.9286 0.9531 0.8636
0.2143 13.0 208 0.2138 0.9286 0.9531 0.8636
0.1846 14.0 224 0.2016 0.9762 0.9844 0.9545
0.1812 15.0 240 0.1957 0.9762 0.9844 0.9545
0.1756 16.0 256 0.1881 0.9647 0.9806 0.9091
0.1662 17.0 272 0.1845 0.9762 0.9844 0.9545
0.1715 18.0 288 0.1802 0.9762 0.9844 0.9545
0.1585 19.0 304 0.1782 0.9762 0.9844 0.9545
0.1595 20.0 320 0.1775 0.9762 0.9844 0.9545

Framework versions