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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: ko-clickbait_news_classifier-KcELECTRA
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# ko-clickbait_news_classifier-KcELECTRA
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This model is a fine-tuned version of [beomi/KcELECTRA-base](https://huggingface.co/beomi/KcELECTRA-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3208
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- Accuracy: 0.6730
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.8481 | 1.0 | 8801 | 0.8283 | 0.6204 |
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| 0.7795 | 2.0 | 17602 | 0.8188 | 0.6412 |
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| 0.6952 | 3.0 | 26403 | 0.7544 | 0.6736 |
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| 0.6298 | 4.0 | 35204 | 0.7742 | 0.6732 |
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| 0.551 | 5.0 | 44005 | 0.8243 | 0.6821 |
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| 0.4795 | 6.0 | 52806 | 0.8783 | 0.6760 |
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| 0.3991 | 7.0 | 61607 | 0.9993 | 0.6761 |
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| 0.3368 | 8.0 | 70408 | 1.0973 | 0.6713 |
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| 0.3043 | 9.0 | 79209 | 1.2049 | 0.6747 |
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| 0.2488 | 10.0 | 88010 | 1.3208 | 0.6730 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.13.3
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