BERT Named Entity Recognition - n2c2 2018
Collection
8 items
•
Updated
This model is a fine-tuned version of FacebookAI/roberta-base on the n2c2 2018 dataset for the paper https://arxiv.org/abs/2409.19467. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 1.0 | 231 | 0.0920 | 0.7617 | 0.7516 | 0.7566 | 0.9723 |
No log | 2.0 | 462 | 0.0769 | 0.7942 | 0.7820 | 0.7881 | 0.9763 |
0.2523 | 3.0 | 693 | 0.0736 | 0.8096 | 0.7882 | 0.7988 | 0.9774 |
0.2523 | 4.0 | 924 | 0.0751 | 0.8017 | 0.7929 | 0.7973 | 0.9770 |
Base model
FacebookAI/roberta-base