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distilbert-ner-improved
dandankim/distilbert-ner-improved
distilbert-ner-improved is a token classification model from dandankim. 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
- Feb 27, 2025
- Updated
- Feb 27, 2025
- SHA
- 9a5be973
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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. -->
distilbert-ner-improved
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0471
- Precision: 0.9588
- Recall: 0.9758
- F1: 0.9672
- Accuracy: 0.9875
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 1.0197 | 2.64 | 100 | 0.5256 | 0.4831 | 0.4319 | 0.4561 | 0.8719 |
| 0.1435 | 5.2667 | 200 | 0.1149 | 0.9453 | 0.9329 | 0.9390 | 0.9744 |
| 0.0655 | 7.9067 | 300 | 0.0673 | 0.9473 | 0.9688 | 0.9579 | 0.9809 |
| 0.0441 | 10.5333 | 400 | 0.0754 | 0.9708 | 0.9693 | 0.9700 | 0.9832 |
| 0.0236 | 13.16 | 500 | 0.0790 | 0.9697 | 0.9772 | 0.9734 | 0.9832 |
| 0.0171 | 15.8 | 600 | 0.0849 | 0.9670 | 0.9797 | 0.9733 | 0.9835 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 27, 2025
- Updated
- Feb 27, 2025