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review_classification_bert_jp_v3
kt220/review_classification_bert_jp_v3
review_classification_bert_jp_v3 is a text classification model from kt220. Use it when you need a label for a piece of text. 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
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 27, 2023
- Updated
- Nov 27, 2023
- SHA
- 20b66d8c
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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. -->
review_classification_bert_jp_v3
This model is a fine-tuned version of cl-tohoku/bert-base-japanese-v3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3286
- Accuracy: 0.9381
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1914 | 1.0 | 845 | 0.1729 | 0.9467 |
| 0.1655 | 2.0 | 1690 | 0.1674 | 0.9462 |
| 0.1266 | 3.0 | 2535 | 0.2235 | 0.9448 |
| 0.0777 | 4.0 | 3380 | 0.2902 | 0.9390 |
| 0.0407 | 5.0 | 4225 | 0.3286 | 0.9381 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 27, 2023
- Updated
- Nov 27, 2023