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kt_punc
kktoto/kt_punc
kt_punc is a token classification model from kktoto. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 15, 2022
- Updated
- May 15, 2022
- SHA
- a15b8358
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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. -->
kt_punc
This model is a fine-tuned version of bert-base-chinese on the chn_senti_corp dataset. It achieves the following results on the evaluation set:
- Loss: 0.1703
- Precision: 0.7079
- Recall: 0.7314
- F1: 0.7194
- Accuracy: 0.9573
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1661 | 1.0 | 600 | 0.1351 | 0.6566 | 0.6833 | 0.6697 | 0.9498 |
| 0.1246 | 2.0 | 1200 | 0.1330 | 0.6854 | 0.6665 | 0.6758 | 0.9521 |
| 0.1121 | 3.0 | 1800 | 0.1303 | 0.6885 | 0.6994 | 0.6939 | 0.9537 |
| 0.1008 | 4.0 | 2400 | 0.1359 | 0.6836 | 0.7248 | 0.7036 | 0.9543 |
| 0.0809 | 5.0 | 3000 | 0.1404 | 0.7035 | 0.7082 | 0.7059 | 0.9559 |
| 0.0696 | 6.0 | 3600 | 0.1449 | 0.6986 | 0.7224 | 0.7103 | 0.9560 |
| 0.0628 | 7.0 | 4200 | 0.1563 | 0.7063 | 0.7214 | 0.7138 | 0.9567 |
| 0.0561 | 8.0 | 4800 | 0.1618 | 0.7024 | 0.7333 | 0.7175 | 0.9568 |
| 0.0525 | 9.0 | 5400 | 0.1669 | 0.7083 | 0.7335 | 0.7207 | 0.9574 |
| 0.0453 | 10.0 | 6000 | 0.1703 | 0.7079 | 0.7314 | 0.7194 | 0.9573 |
Framework versions
- Transformers 4.19.1
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Created
- May 15, 2022
- Updated
- May 15, 2022