metadata
license: mit
datasets:
- ontonotes/conll2012_ontonotesv5
language:
- en
base_model:
- answerdotai/ModernBERT-base
pipeline_tag: token-classification
Model Card for Model ID
This is a fineTuned version of modernBERT, trained for Named Entity Recognition (NER) tasks. I've focused on maximizing the F1 of the Person entity, without reducing effectiveness for other entities.
Model Details
Model works, but I am still trying to improve it
Here is the code I used for training: GitHub Repo
Here is an article I wrote about building it out: My Article
If you have any suggestions on how to improve the model, I'm definitely open to implementing - just let me know :)
