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README.md
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---
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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: 5 datasets:
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- CoNLL-2003,
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- WNUT17
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- JNLPBA
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- CoNLL-2012 (OntoNotes)
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- 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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