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ICT2214Team7/RoBERTa_conll_epoch_5
RoBERTa_conll_epoch_5 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 |
|---|---|---|---|---|---|---|---|
| 0.0787 | 1.0 | 1756 | 0.0734 | 0.9024 | 0.9317 | 0.9168 | 0.9819 |
| 0.0389 | 2.0 | 3512 | 0.0706 | 0.9359 | 0.9440 | 0.9399 | 0.9854 |
| 0.023 | 3.0 | 5268 | 0.0632 | 0.9340 | 0.9483 | 0.9411 | 0.9864 |
| 0.0137 | 4.0 | 7024 | 0.0762 | 0.9368 | 0.9534 | 0.9450 | 0.9875 |
| 0.0054 | 5.0 | 8780 | 0.0716 | 0.9370 | 0.9539 | 0.9454 | 0.9873 |