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bert-japanese-ner
yoshivo/bert-japanese-ner
bert-japanese-ner is a token classification model from yoshivo. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- bert
- Access
- Public
- Created
- Jun 2, 2023
- Updated
- Jun 2, 2023
- SHA
- 696a3468
Try a prompt
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-japanese-ner
This model is a fine-tuned version of cl-tohoku/bert-base-japanese-whole-word-masking on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0842
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: 24
- eval_batch_size: 24
- 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 |
|---|---|---|---|
| 0.2834 | 1.0 | 179 | 0.0915 |
| 0.0548 | 2.0 | 358 | 0.0831 |
| 0.0235 | 3.0 | 537 | 0.0842 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.12.1.post201
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-sa-4.0
- Created
- Jun 2, 2023
- Updated
- Jun 2, 2023