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