medical-ner-koelectra

Model Card for medical-ner-koelectra

Model Summary

This model is a fine-tuned version of the monologg/koelectra-base-v3-discriminator.

We fine-tuned the model using the KBMC and Naver X Changwon Univ NER dataset datasets.

Model Details

Model Description

• Developed by: Sungjoo Byun (Grace Byun)
• Language(s) (NLP): Korean
• License: Apache 2.0
• Finetuned from model: monologg/koelectra-base-v3-discriminator

Training Data

The model was trained using the dataset Naver X Changwon Univ NER dataset and Korean Bio-Medical Corpus (KBMC).

Model Performance

Overall Metrics

• F1 Score: 0.8886
• Loss: 0.2949
• Precision: 0.8844
• Recall: 0.8928

Class-wise Performance

Averages

Citations

Please cite our KBMC paper:

@misc{byun2024korean,
      title={Korean Bio-Medical Corpus (KBMC) for Medical Named Entity Recognition}, 
      author={Sungjoo Byun and Jiseung Hong and Sumin Park and Dongjun Jang and Jean Seo and Minseok Kim and Chaeyoung Oh and Hyopil Shin},
      year={2024},
      eprint={2403.16158},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Model Card Contact

For any questions or issues, please contact [email protected].