---
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](https://github.com/mattlam/modern-ner/tree/main)  
Here is an article I wrote about building it out: [My Article](https://www.mattweekend.com/modern)  

If you have any suggestions on how to improve the model, I'm definitely open to implementing - just let me know :)

<img src="https://cdn-uploads.huggingface.co/production/uploads/6360ade17ac39ff884b15842/I6m0ZT51881L4jk2J_G4K.jpeg" width="600">