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ko-clickbait_news_classifier-KcELECTRA-base
Hyeonseo/ko-clickbait_news_classifier-KcELECTRA-base
ko-clickbait_news_classifier-KcELECTRA-base is a text classification model from Hyeonseo. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- electra
- Access
- Public
- Created
- Oct 28, 2023
- Updated
- Oct 28, 2023
- SHA
- 6ef35448
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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. -->
ko-clickbait_news_classifier-KcELECTRA-base
This model is a fine-tuned version of beomi/KcELECTRA-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9632
- Accuracy: 0.5687
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 |
|---|---|---|---|---|
| 1.0044 | 1.0 | 2934 | 0.9792 | 0.5264 |
| 0.9388 | 2.0 | 5868 | 0.9557 | 0.5461 |
| 0.8859 | 3.0 | 8802 | 0.9333 | 0.5654 |
| 0.8146 | 4.0 | 11736 | 0.9551 | 0.5636 |
| 0.7607 | 5.0 | 14670 | 0.9632 | 0.5687 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- License
- mit
- Created
- Oct 28, 2023
- Updated
- Oct 28, 2023