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How can I custom train the model "ner_ontonotes_bert_mult". I want to train the model with my own dataset which have some different tags. How to train the model and use it?

When I am training my model it accepting only 40 data and after that training stops automatically. How to resolve this.

Sayak Ghanta
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1 Answers1

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There are several issues covering your question in DeepPavlov repository:

You need to change NER_PATH in configuration file such that vocabulary (set of tags) is not re-used and model parameters from Ontonotes are not re-used also (but still model will use pre-trained weights for BERT model).

yurak
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  • When I am training my model it accepting only 40 data and after that training stops automatically. How to resolve this. @yurak can you please look into this error – Sayak Ghanta Aug 17 '21 at 06:20
  • I would recommend to ask question in DeepPavlov issues or forum, please also provide your configuration file and full logs output. – yurak Aug 17 '21 at 13:44