BERT Named Entity Recognition - n2c2 2018
Collection
8 items
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Updated
This model is a fine-tuned version of medicalai/ClinicalBERT 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 | 0.0939 | 0.7601 | 0.7551 | 0.7576 | 0.9723 |
No log | 2.0 | 462 | 0.0806 | 0.7821 | 0.7798 | 0.7810 | 0.9748 |
0.2422 | 3.0 | 693 | 0.0800 | 0.7928 | 0.7869 | 0.7899 | 0.9755 |
0.2422 | 4.0 | 924 | 0.0810 | 0.7936 | 0.7896 | 0.7916 | 0.9752 |
Base model
medicalai/ClinicalBERT