metadata
license: cc-by-sa-4.0
base_model: klue/bert-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: dummy-kosts
results: []
widget:
- text: 충격! 유명 프로야구 선수 음주운전 적발
dummy-kosts
This model is a fine-tuned version of klue/bert-base on klue/ynat. It achieves the following results on the evaluation set:
- Loss: 0.6433
- Accuracy: 0.8642
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4139 | 1.0 | 5710 | 0.4763 | 0.8528 |
| 0.3358 | 2.0 | 11420 | 0.5527 | 0.8650 |
| 0.2045 | 3.0 | 17130 | 0.6433 | 0.8642 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1