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beto-finetuned-ner-cfv
franklynnarvaez/beto-finetuned-ner-cfv
beto-finetuned-ner-cfv is a token classification model from franklynnarvaez. 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 6, 2024
- Updated
- Jun 6, 2024
- SHA
- 4e003c2c
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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. -->
beto-finetuned-ner-cfv
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: 0.1667
- Precision: 0.8659
- Recall: 0.8683
- F1: 0.8671
- Accuracy: 0.9793
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: 4e-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: 11
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0373 | 1.0 | 521 | 0.1002 | 0.8642 | 0.8568 | 0.8605 | 0.9779 |
| 0.0255 | 2.0 | 1042 | 0.1018 | 0.8410 | 0.8555 | 0.8482 | 0.9779 |
| 0.0147 | 3.0 | 1563 | 0.1093 | 0.8654 | 0.8626 | 0.8640 | 0.9789 |
| 0.0107 | 4.0 | 2084 | 0.1277 | 0.8772 | 0.8614 | 0.8692 | 0.9787 |
| 0.0069 | 5.0 | 2605 | 0.1422 | 0.8496 | 0.8529 | 0.8513 | 0.9782 |
| 0.0052 | 6.0 | 3126 | 0.1436 | 0.8511 | 0.8511 | 0.8511 | 0.9775 |
| 0.0039 | 7.0 | 3647 | 0.1515 | 0.8663 | 0.8621 | 0.8642 | 0.9784 |
| 0.0029 | 8.0 | 4168 | 0.1525 | 0.8585 | 0.8617 | 0.8601 | 0.9785 |
| 0.0024 | 9.0 | 4689 | 0.1549 | 0.8635 | 0.8633 | 0.8634 | 0.9784 |
| 0.0021 | 10.0 | 5210 | 0.1643 | 0.8660 | 0.8672 | 0.8666 | 0.9792 |
| 0.0017 | 11.0 | 5731 | 0.1667 | 0.8659 | 0.8683 | 0.8671 | 0.9793 |
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 6, 2024
- Updated
- Jun 6, 2024