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ICT2214Team7/RoBERTa_conll_epoch_6
RoBERTa_conll_epoch_6 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 |
|---|---|---|---|---|---|---|---|
| 0.0787 | 1.0 | 1756 | 0.0740 | 0.8954 | 0.9281 | 0.9115 | 0.9813 |
| 0.0459 | 2.0 | 3512 | 0.0770 | 0.9288 | 0.9416 | 0.9351 | 0.9846 |
| 0.0241 | 3.0 | 5268 | 0.0613 | 0.9354 | 0.9504 | 0.9428 | 0.9867 |
| 0.0155 | 4.0 | 7024 | 0.0615 | 0.9404 | 0.9536 | 0.9469 | 0.9884 |
| 0.0073 | 5.0 | 8780 | 0.0744 | 0.9420 | 0.9567 | 0.9493 | 0.9879 |
| 0.0036 | 6.0 | 10536 | 0.0763 | 0.9446 | 0.9576 | 0.9510 | 0.9883 |