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# dummy-kosts

한국어 기사 헤드라인을 입력하면 7가지 주제 중 하나로 분류해 주는 모형입니다.

This model takes Korean article headlines as input and classifies them into one of seven topics.

This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on [klue/ynat](https://huggingface.co/datasets/klue/viewer/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

{"license": "cc-by-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "klue/bert-base", "widget": [{"text": "\ucda9\uaca9! \uc720\uba85 \ud504\ub85c\uc57c\uad6c \uc120\uc218 \uc74c\uc8fc\uc6b4\uc804 \uc801\ubc1c"}], "model-index": [{"name": "dummy-kosts", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:klue/bert-base license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible has_space region:us