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ICT2214Team7/RoBERTa_Test_Training
RoBERTa_Test_Training 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:
More information needed
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More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0803 | 1.0 | 1756 | 0.0725 | 0.9236 | 0.9313 | 0.9274 | 0.9820 |
| 0.0373 | 2.0 | 3512 | 0.0627 | 0.9453 | 0.9487 | 0.9470 | 0.9868 |
| 0.0213 | 3.0 | 5268 | 0.0590 | 0.9508 | 0.9550 | 0.9529 | 0.9880 |