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wnut_distilbert_NER_baseline
perfectsquare123/wnut_distilbert_NER_baseline
wnut_distilbert_NER_baseline is a token classification model from perfectsquare123. 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
- Mar 16, 2025
- Updated
- Mar 16, 2025
- SHA
- 01c9d282
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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. -->
wnut_distilbert_NER_baseline
This model is a fine-tuned version of distilbert-base-uncased on the wnut_17 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2728
- Precision: 0.5326
- Recall: 0.3791
- F1: 0.4429
- Accuracy: 0.9453
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: Use 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 |
|---|---|---|---|---|---|---|---|
| 0.3978 | 1.0 | 107 | 0.3026 | 0.5514 | 0.1640 | 0.2529 | 0.9347 |
| 0.1425 | 2.0 | 214 | 0.2761 | 0.5853 | 0.2734 | 0.3727 | 0.9398 |
| 0.0979 | 3.0 | 321 | 0.2680 | 0.5428 | 0.3290 | 0.4097 | 0.9433 |
| 0.0744 | 4.0 | 428 | 0.2787 | 0.5339 | 0.3429 | 0.4176 | 0.9442 |
| 0.0651 | 5.0 | 535 | 0.2728 | 0.5326 | 0.3791 | 0.4429 | 0.9453 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 16, 2025
- Updated
- Mar 16, 2025