---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ko-clickbait_news_classifier-KcELECTRA-base
  results: []
---

<!-- 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](https://huggingface.co/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