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ICT2214Team7/RoBERTa_conll_epoch_10
RoBERTa_conll_epoch_10 is a token classification model from ICT2214Team7. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of distilroberta-base on the conll2003 dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0839 | 1.0 | 1756 | 0.0705 | 0.9055 | 0.9303 | 0.9177 | 0.9827 |
| 0.0454 | 2.0 | 3512 | 0.0690 | 0.9257 | 0.9431 | 0.9343 | 0.9853 |
| 0.0272 | 3.0 | 5268 | 0.0590 | 0.9310 | 0.9495 | 0.9402 | 0.9865 |
| 0.0183 | 4.0 | 7024 | 0.0803 | 0.9324 | 0.9515 | 0.9419 | 0.9862 |
| 0.0129 | 5.0 | 8780 | 0.0747 | 0.9433 | 0.9517 | 0.9475 | 0.9872 |
| 0.0079 | 6.0 | 10536 | 0.0792 | 0.9359 | 0.9534 | 0.9446 | 0.9874 |
| 0.0055 | 7.0 | 12292 | 0.0785 | 0.9457 | 0.9549 | 0.9503 | 0.9879 |
| 0.003 | 8.0 | 14048 | 0.0881 | 0.9438 | 0.9561 | 0.9499 | 0.9879 |
| 0.001 | 9.0 | 15804 | 0.0875 | 0.9448 | 0.9562 | 0.9505 | 0.9879 |
| 0.0008 | 10.0 | 17560 | 0.0906 | 0.9443 | 0.9559 | 0.9501 | 0.9882 |