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bert-conll2003-ner
terens/bert-conll2003-ner
bert-conll2003-ner is a token classification model from terens. 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
- Sep 1, 2025
- Updated
- Sep 1, 2025
- SHA
- 28bcd644
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Base models
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-conll2003-ner
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0514
- Precision: 0.9196
- Recall: 0.9414
- F1: 0.9304
- Accuracy: 0.9860
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0703 | 0.2278 | 100 | 0.0731 | 0.8696 | 0.9150 | 0.8918 | 0.9794 |
| 0.0895 | 0.4556 | 200 | 0.0585 | 0.8960 | 0.9249 | 0.9102 | 0.9824 |
| 0.0699 | 0.6834 | 300 | 0.0571 | 0.9067 | 0.9268 | 0.9166 | 0.9835 |
| 0.0636 | 0.9112 | 400 | 0.0493 | 0.9212 | 0.9391 | 0.9301 | 0.9858 |
| 0.0405 | 1.1390 | 500 | 0.0525 | 0.9232 | 0.9428 | 0.9329 | 0.9862 |
| 0.0293 | 1.3667 | 600 | 0.0556 | 0.9251 | 0.9399 | 0.9325 | 0.9859 |
| 0.0307 | 1.5945 | 700 | 0.0516 | 0.9220 | 0.9408 | 0.9313 | 0.9858 |
| 0.025 | 1.8223 | 800 | 0.0514 | 0.9196 | 0.9414 | 0.9304 | 0.9860 |
Framework versions
- Transformers 4.55.4
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 1, 2025
- Updated
- Sep 1, 2025