| --- |
| 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"> |
