BERT Named Entity Recognition - n2c2 2018
Collection
8 items
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Updated
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 |
Base model
dmis-lab/biobert-base-cased-v1.2