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distilbert-base-uncased-finetuned-ner
Hemg/distilbert-base-uncased-finetuned-ner
distilbert-base-uncased-finetuned-ner is a token classification model from Hemg. 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
- distilbert
- Access
- Public
- Created
- May 21, 2024
- Updated
- May 21, 2024
- SHA
- c86885ce
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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. -->
distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of distilbert-base-uncased on the conll2003 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0619
- Precision: 0.9253
- Recall: 0.9355
- F1: 0.9304
- Accuracy: 0.9834
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 439 | 0.0877 | 0.8779 | 0.8955 | 0.8866 | 0.9754 |
| 0.2182 | 2.0 | 878 | 0.0626 | 0.9193 | 0.9299 | 0.9245 | 0.9820 |
| 0.0557 | 3.0 | 1317 | 0.0612 | 0.9252 | 0.9323 | 0.9287 | 0.9829 |
| 0.0346 | 4.0 | 1756 | 0.0619 | 0.9253 | 0.9355 | 0.9304 | 0.9834 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 21, 2024
- Updated
- May 21, 2024