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bert-base-uncased-finetuned-ner-negation_detection_NUBES
JuanSolarte99/bert-base-uncased-finetuned-ner-negation_detection_NUBES
bert-base-uncased-finetuned-ner-negation_detection_NUBES is a token classification model from JuanSolarte99. 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
- May 30, 2025
- Updated
- May 30, 2025
- SHA
- 72667db0
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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-base-uncased-finetuned-ner-negation_detection_NUBES
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1662
- Precision: 0.8435
- Recall: 0.8703
- F1: 0.8567
- Accuracy: 0.9632
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.3949 | 1.0 | 816 | 0.1487 | 0.7571 | 0.8103 | 0.7828 | 0.9549 |
| 0.1328 | 2.0 | 1632 | 0.1308 | 0.7793 | 0.8561 | 0.8159 | 0.9595 |
| 0.1028 | 3.0 | 2448 | 0.1260 | 0.7997 | 0.8600 | 0.8287 | 0.9632 |
| 0.0617 | 4.0 | 3264 | 0.1349 | 0.8080 | 0.8661 | 0.8360 | 0.9632 |
| 0.0467 | 5.0 | 4080 | 0.1376 | 0.8293 | 0.8731 | 0.8506 | 0.9648 |
Framework versions
- Transformers 4.52.2
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 30, 2025
- Updated
- May 30, 2025