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ICT2214Team7/RoBERTa_conll_epoch_9
RoBERTa_conll_epoch_9 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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.safetensors326 MB · 99%
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 |
|---|---|---|---|---|---|---|---|
| 0.0779 | 1.0 | 1756 | 0.0640 | 0.9142 | 0.9359 | 0.9249 | 0.9836 |
| 0.0448 | 2.0 | 3512 | 0.0867 | 0.9220 | 0.9364 | 0.9291 | 0.9836 |
| 0.03 | 3.0 | 5268 | 0.0580 | 0.9263 | 0.9482 | 0.9371 | 0.9865 |
| 0.018 | 4.0 | 7024 | 0.0760 | 0.9330 | 0.9490 | 0.9409 | 0.9864 |
| 0.0108 | 5.0 | 8780 | 0.0733 | 0.9363 | 0.9544 | 0.9452 | 0.9873 |
| 0.0096 | 6.0 | 10536 | 0.0773 | 0.9413 | 0.9534 | 0.9473 | 0.9879 |
| 0.0039 | 7.0 | 12292 | 0.0755 | 0.9442 | 0.9561 | 0.9501 | 0.9885 |
| 0.0024 | 8.0 | 14048 | 0.0834 | 0.9425 | 0.9567 | 0.9496 | 0.9884 |
| 0.0006 | 9.0 | 15804 | 0.0841 | 0.9447 | 0.9574 | 0.9510 | 0.9884 |