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--- |
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language: en |
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license: apache-2.0 |
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datasets: |
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- conll2003 |
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--- |
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[DistilBERT base uncased](https://huggingface.co/distilbert-base-uncased), fine-tuned for NER using the [conll03 english dataset](https://huggingface.co/datasets/conll2003). Note that this model is **not** sensitive to capital letters — "english" is the same as "English". For the case sensitive version, please use [elastic/distilbert-base-cased-finetuned-conll03-english](https://huggingface.co/elastic/distilbert-base-cased-finetuned-conll03-english). |
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## Versions |
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- Transformers version: 4.3.1 |
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- Datasets version: 1.3.0 |
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## Training |
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``` |
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$ run_ner.py \ |
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--model_name_or_path distilbert-base-uncased \ |
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--label_all_tokens True \ |
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--return_entity_level_metrics True \ |
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--dataset_name conll2003 \ |
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--output_dir /tmp/distilbert-base-uncased-finetuned-conll03-english \ |
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--do_train \ |
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--do_eval |
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``` |
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After training, we update the labels to match the NER specific labels from the |
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dataset [conll2003](https://raw.githubusercontent.com/huggingface/datasets/1.3.0/datasets/conll2003/dataset_infos.json) |
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