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title

목적

  • nlp, language model등을 연습하고 Transformer 모델을 활용하는 법을 익혀 업무에 적용할 기반을 다진다.

Scores

  • CountVectorizer + Gaussian Naive Bayes : 82.744%
  • Wordpiece Tokenizing + BERT(mxnet, gluonnlp) Adjust Ensemble : 90.685%

Metric

  • AUC title

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Dacon Mission 14. 금융문자 분석 경진대회

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