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DistilBERT base uncased, fine-tuned for NER using the conll03 english dataset. Note that this model is not sensitive to capital letters β€” "english" is the same as "English". For the case sensitive version, please use elastic/distilbert-base-cased-finetuned-conll03-english.

Versions

  • Transformers version: 4.3.1
  • Datasets version: 1.3.0

Training

$ run_ner.py \
  --model_name_or_path distilbert-base-uncased \
  --label_all_tokens True \
  --return_entity_level_metrics True \
  --dataset_name conll2003 \
  --output_dir /tmp/distilbert-base-uncased-finetuned-conll03-english \
  --do_train \
  --do_eval

After training, we update the labels to match the NER specific labels from the dataset conll2003

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Dataset used to train elastic/distilbert-base-uncased-finetuned-conll03-english

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Evaluation results