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language: |
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- en |
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datasets: |
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- conll2003 |
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- wnut_17 |
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- jnlpba |
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- conll2012 |
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- BTC |
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tags: |
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- PyTorch |
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--- |
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# BERT base uncased model pre-trained on 5 NER datasets |
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Model was trained by [SberIDP](https://github.com) |
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* Task: `NER` |
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* Training Data is 5 datasets: CoNLL-2003, WNUT17, JNLPBA, CoNLL-2012 (OntoNotes), BTC |
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The model is described [in this article](https://habr.com/ru/company/sberbank/blog/). |
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It is pretrained for NER task using [Reptile](https://openai.com/blog/reptile/) and can be finetuned for new entities with only a small amount of samples. |
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