Update README.md

README.md

@@ -7,4 +7,30 @@ base_model:
 pipeline_tag: text-classification
 ---
 
-Lightweight binary classification model for sentence-level skills language classificaton.
+# skill-classifier-base (Legacy)
+
+> [!NOTE]  
+> **A newer, improved model is available!**  
+> We highly recommend using [loyoladatamining/skill-classifier-base-v2](https://huggingface.co/loyoladatamining/skill-classifier-base-v2) instead of this model.
+
+## Model Description
+This is a legacy BERT-based model fine-tuned for sentence-level binary classification of skill statements. It was built on top of `prajjwal1/bert-small`.
+
+## Why Upgrade?
+When evaluated on the [loyoladatamining/usajobs_validation](https://huggingface.co/datasets/loyoladatamining/usajobs_validation) dataset, the newer version demonstrates higher performance:
+
+| Model | Accuracy | F-1 |
+| :--- | :---: | :---: |
+| skill-classifier-base (This Model) | 0.8335 | 0.8437 |
+| **[skill-classifier-base-v2 (Recommended)](https://huggingface.co/loyoladatamining/skill-classifier-base-v2)** | **0.9748** | **0.9749** |
+
+## Citation
+If you do find this model useful in your work, please consider citing:
+
+```
+@article{meisenbacher2025extracting,
+  title={Extracting O* NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data},
+  author={Meisenbacher, Stephen and Nestorov, Svetlozar and Norlander, Peter},
+  year={2025}
+}
+```