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distilbert-uncased-names
jackfriedson/distilbert-uncased-names
distilbert-uncased-names is a token classification model from jackfriedson. 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 24, 2024
- Updated
- Mar 25, 2024
- SHA
- 84bde6a5
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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-uncased-names
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3309
- Precision: 0.8846
- Recall: 0.9233
- F1: 0.9035
- Accuracy: 0.9302
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2104 | 1.0 | 7305 | 0.1992 | 0.8843 | 0.9132 | 0.8985 | 0.9299 |
| 0.1686 | 2.0 | 14610 | 0.2408 | 0.8794 | 0.9367 | 0.9071 | 0.9319 |
| 0.1136 | 3.0 | 21915 | 0.3309 | 0.8846 | 0.9233 | 0.9035 | 0.9302 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 24, 2024
- Updated
- Mar 25, 2024