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bert-base-NER-reptile-5-datasets
ai-forever/bert-base-NER-reptile-5-datasets
bert-base-NER-reptile-5-datasets is a token classification model from ai-forever. Use it when you need labels on individual words, such as names. It is set up for transformers.
Model was trained by SberIDP. The pretraining process and technical details are described in this article.
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Feb 4, 2022
- SHA
- feb2dcd0
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Model card
From the Hugging Face model README
BERT base uncased model pre-trained on 5 NER datasets
Model was trained by SberIDP. The pretraining process and technical details are described in this article.
- Task: Named Entity Recognition
- Base model: bert-base-uncased
- Training Data is 5 datasets: CoNLL-2003, WNUT17, JNLPBA, CoNLL-2012 (OntoNotes), BTC
- Testing was made in Few-Shot scenario on Few-NERD dataset using the model as a backbone for StructShot
The model is pretrained for NER task using Reptile and can be finetuned for new entities with only a small amount of samples.
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Feb 4, 2022