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NER-finetuned-BETO
Bluruwu/NER-finetuned-BETO
NER-finetuned-BETO is a token classification model from Bluruwu. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-4.0
- Model type
- bert
- Access
- Public
- Created
- Jun 10, 2024
- Updated
- Jun 10, 2024
- SHA
- b1b49b15
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Base models
Datasets
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. -->
NER-finetuned-BETO
This model is a fine-tuned version of NazaGara/NER-fine-tuned-BETO on the conll2002 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1898
- Accuracy: 0.9698
- F1: 0.9694
- Precision: 0.9692
- Recall: 0.9698
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.0509 | 1.0 | 521 | 0.1309 | 0.9700 | 0.9696 | 0.9698 | 0.9700 |
| 0.0292 | 2.0 | 1042 | 0.1618 | 0.9679 | 0.9673 | 0.9670 | 0.9679 |
| 0.0178 | 3.0 | 1563 | 0.1460 | 0.9718 | 0.9712 | 0.9709 | 0.9718 |
| 0.0141 | 4.0 | 2084 | 0.1775 | 0.9689 | 0.9682 | 0.9680 | 0.9689 |
| 0.0091 | 5.0 | 2605 | 0.1815 | 0.9700 | 0.9695 | 0.9693 | 0.9700 |
| 0.007 | 6.0 | 3126 | 0.1898 | 0.9698 | 0.9694 | 0.9692 | 0.9698 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-4.0
- Created
- Jun 10, 2024
- Updated
- Jun 10, 2024