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bert-base-uncased_NER_VISBank
Yamei/bert-base-uncased_NER_VISBank
bert-base-uncased_NER_VISBank is a token classification model from Yamei. 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
- Feb 23, 2023
- Updated
- Feb 24, 2023
- SHA
- 83953e5d
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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-base-uncased-v10-ES-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: 0.3872
- Precision: 0.6667
- Recall: 0.7066
- F1: 0.6861
- Accuracy: 0.9163
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.4118 | 1.75 | 500 | 0.2787 | 0.6316 | 0.6694 | 0.6499 | 0.9120 |
| 0.189 | 3.5 | 1000 | 0.2962 | 0.6798 | 0.7107 | 0.6949 | 0.9177 |
| 0.1168 | 5.24 | 1500 | 0.3403 | 0.6503 | 0.7107 | 0.6792 | 0.9130 |
| 0.0734 | 6.99 | 2000 | 0.3491 | 0.6673 | 0.7169 | 0.6912 | 0.9169 |
| 0.0469 | 8.74 | 2500 | 0.3872 | 0.6667 | 0.7066 | 0.6861 | 0.9163 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Feb 23, 2023
- Updated
- Feb 24, 2023