| datasets: | |
| - wnut_17 | |
| metrics: | |
| - accuracy | |
| - precision | |
| - recall | |
| tags: | |
| - NER | |
| - NLP | |
| - WNUT | |
| # Model Card for Model ID | |
| <!-- Provide a quick summary of what the model is/does. --> | |
| NER model trained on WNUT dataset | |
| ## Model Details | |
| Trained based on tutorials on Token classification. Uses WNUT dataset. | |
| - **Developed by:** Lathashree | |
| - **Model type:** BERT-based NER model | |
| - **Language(s) (NLP):** Python | |
| - **Finetuned from model [optional]:** DistilBERT_uncased | |