DistilBERT base cased, fine-tuned for NER using the conll03 english dataset. Note that this model is sensitive to capital letters — "english" is different than "English". For the case insensitive version, please use elastic/distilbert-base-uncased-finetuned-conll03-english.
Versions
- Transformers version: 4.3.1
- Datasets version: 1.3.0
Training
$ run_ner.py \
--model_name_or_path distilbert-base-cased \
--label_all_tokens True \
--return_entity_level_metrics True \
--dataset_name conll2003 \
--output_dir /tmp/distilbert-base-cased-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-cased-finetuned-conll03-english
Evaluation results
- Accuracy on conll2003validation set verified0.983
- Precision on conll2003validation set verified0.986
- Recall on conll2003validation set verified0.988
- F1 on conll2003validation set verified0.987
- loss on conll2003validation set verified0.077