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BERT-full-finetuned-ner-pablo
pabRomero/BERT-full-finetuned-ner-pablo
BERT-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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 15, 2024
- Updated
- Oct 2, 2024
- SHA
- b651b764
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
BERT-full-finetuned-ner-pablo
This model is a fine-tuned version of google-bert/bert-base-uncased on the n2c2 2018 dataset for the paper https://arxiv.org/abs/2409.19467. It achieves the following results on the evaluation set:
- Loss: 0.0854
- Precision: 0.7857
- Recall: 0.7899
- F1: 0.7878
- Accuracy: 0.9747
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 231 | 0.1015 | 0.7485 | 0.7440 | 0.7462 | 0.9703 |
| No log | 2.0 | 462 | 0.0878 | 0.7618 | 0.7750 | 0.7684 | 0.9728 |
| 0.2646 | 3.0 | 693 | 0.0859 | 0.7759 | 0.7912 | 0.7835 | 0.9737 |
| 0.2646 | 4.0 | 924 | 0.0854 | 0.7857 | 0.7899 | 0.7878 | 0.9747 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Aug 15, 2024
- Updated
- Oct 2, 2024