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pabRomero/BioBERT-full-finetuned-ner-pablo
BioBERT-full-finetuned-ner-pablo is a token classification model from pabRomero. Use it when you need labels on individual words, such as names. It is set up for transformers.
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 dmis-lab/biobert-base-cased-v1.2 on the n2c2 2018 dataset for the paper https://arxiv.org/abs/2409.19467. 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 231 | 0.0960 | 0.7382 | 0.7709 | 0.7542 | 0.9708 |
| No log | 2.0 | 462 | 0.0817 | 0.7832 | 0.7841 | 0.7836 | 0.9743 |
| 0.2286 | 3.0 | 693 | 0.0803 | 0.7926 | 0.7988 | 0.7957 | 0.9751 |
| 0.2286 | 4.0 | 924 | 0.0831 | 0.7916 | 0.7956 | 0.7936 | 0.9751 |