| language: en | |
| license: apache-2.0 | |
| datasets: | |
| - conll2003 | |
| DistilBERT cased, fine-tuned for NER using the conll03 english dataset. | |
| ## 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-conll2003 \ | |
| --do_train \ | |
| --do_eval | |
| ``` | |
| After training, we update the labels to match the NER specific labels from the | |
| dataset [conll2003](https://raw.githubusercontent.com/huggingface/datasets/1.3.0/datasets/conll2003/dataset_infos.json) | |