---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ko-clickbait_news_classifier-KcELECTRA
  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

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: 1.3208
- Accuracy: 0.6730

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.8481        | 1.0   | 8801  | 0.8283          | 0.6204   |
| 0.7795        | 2.0   | 17602 | 0.8188          | 0.6412   |
| 0.6952        | 3.0   | 26403 | 0.7544          | 0.6736   |
| 0.6298        | 4.0   | 35204 | 0.7742          | 0.6732   |
| 0.551         | 5.0   | 44005 | 0.8243          | 0.6821   |
| 0.4795        | 6.0   | 52806 | 0.8783          | 0.6760   |
| 0.3991        | 7.0   | 61607 | 0.9993          | 0.6761   |
| 0.3368        | 8.0   | 70408 | 1.0973          | 0.6713   |
| 0.3043        | 9.0   | 79209 | 1.2049          | 0.6747   |
| 0.2488        | 10.0  | 88010 | 1.3208          | 0.6730   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.13.3