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--- |
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license: cc-by-sa-4.0 |
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base_model: klue/bert-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: dummy-kosts |
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results: [] |
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widget: |
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- text: "충격! 유명 프로야구 선수 음주운전 적발" |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# dummy-kosts |
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한국어 기사 헤드라인을 입력하면 7가지 주제 중 하나로 분류해 주는 모형입니다. |
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This model takes Korean article headlines as input and classifies them into one of seven topics. |
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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). |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6433 |
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- Accuracy: 0.8642 |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.4139 | 1.0 | 5710 | 0.4763 | 0.8528 | |
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| 0.3358 | 2.0 | 11420 | 0.5527 | 0.8650 | |
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| 0.2045 | 3.0 | 17130 | 0.6433 | 0.8642 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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