Edit model card

About

A transformer-based model for named entity recognition for Polish. The model was trained on the train part of the KPWr corpus to recognize 82 categories of NE.

Evaluation summary


                           precision    recall  f1-score   support
micro avg                     0.7803    0.8033    0.7916     17711
macro avg                     0.7921    0.8033    0.7932     17711

Detailed results can be found in the test_results.txt file.

Author

Michał Marcińczuk marcinczuk@gmail.com

License

[MIT](https://choosealicense.com/licenses/mit/

Downloads last month
10
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train CodeNLP/pdn2_v08_kpwr_ner_n82