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bert-base-chinese-ws-finetuned-ner
HYM/bert-base-chinese-ws-finetuned-ner
bert-base-chinese-ws-finetuned-ner is a token classification model from HYM. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as gpl-3.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- gpl-3.0
- Model type
- bert
- Access
- Public
- Created
- Aug 24, 2022
- Updated
- Aug 24, 2022
- SHA
- e83ba7bb
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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-chinese-ws-finetuned-ner
This model is a fine-tuned version of ckiplab/bert-base-chinese-ws on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0567
- Precision: 0.9615
- Recall: 0.9630
- F1: 0.9623
- Accuracy: 0.9829
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: 18
- eval_batch_size: 18
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0475 | 0.64 | 1000 | 0.0506 | 0.9607 | 0.9594 | 0.9600 | 0.9821 |
| 0.0359 | 1.28 | 2000 | 0.0517 | 0.9596 | 0.9615 | 0.9605 | 0.9822 |
| 0.0335 | 1.92 | 3000 | 0.0534 | 0.9550 | 0.9625 | 0.9587 | 0.9814 |
| 0.0258 | 2.56 | 4000 | 0.0547 | 0.9605 | 0.9628 | 0.9616 | 0.9826 |
| 0.0226 | 3.19 | 5000 | 0.0567 | 0.9615 | 0.9630 | 0.9623 | 0.9829 |
| 0.0207 | 3.83 | 6000 | 0.0585 | 0.9594 | 0.9630 | 0.9612 | 0.9824 |
| 0.0161 | 4.47 | 7000 | 0.0663 | 0.9595 | 0.9634 | 0.9615 | 0.9825 |
| 0.0158 | 5.11 | 8000 | 0.0716 | 0.9600 | 0.9625 | 0.9613 | 0.9825 |
| 0.0141 | 5.75 | 9000 | 0.0709 | 0.9597 | 0.9627 | 0.9612 | 0.9824 |
| 0.0117 | 6.39 | 10000 | 0.0744 | 0.9605 | 0.9633 | 0.9619 | 0.9827 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.8.0+cu111
- Datasets 2.4.0
- Tokenizers 0.10.3
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- gpl-3.0
- Created
- Aug 24, 2022
- Updated
- Aug 24, 2022