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💬 Named Entity Recognition Baseline for KLUE Benchmark

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KLUE NER Baseline

Named Entity Recognition Baseline for KLUE Benchmark dataset

Baseline Metric

Training config available at config.yaml

Evaluation Loss Accuracy Precision Recall Character F1 Score
klue/roberta-large with multisample dropout 0.069 0.981 0.901 0.915 0.908
klue/roberta-large 0.061 0.981 0.893 0.909 0.899
monologg/koelectra-base-v3-discriminator 0.085 0.976 0.853 0.891 0.872
kpfbert 0.086 0.972 0.846 0.877 0.861
klue/roberta-base 0.183 0.952 0.782 0.834 0.807

How to run

  1. Change configurations in config.yaml
  2. Run python3 main.py

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💬 Named Entity Recognition Baseline for KLUE Benchmark

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