Update README.md

README.md

@@ -258,6 +258,17 @@ if __name__ == "__main__":
 
 ### Model Comparison
 
+#### Models Evaluated
+* **NP-TEST-0:** Our model
+* **dinov2-giant:** Pretrained [Dinov2 Giant](https://huggingface.co/facebook/dinov2-giant)
+* **dinov2-giant_distilled_prov:** [Dinov2 Giant](https://huggingface.co/facebook/dinov2-giant) distilled from [provo-gigapath](https://huggingface.co/prov-gigapath/prov-gigapath)
+* **dinov2-large_distilled_prov:** [Dinov2 Large](https://huggingface.co/facebook/dinov2-large) distilled from [provo-gigapath](https://huggingface.co/prov-gigapath/prov-gigapath) 
+* **distilled_prov_finetuned:** dinov2-giant_distilled_prov was used as a base with additional finetuning without freezing teacher model. 
+* **prov-gigapath:** [prov-gigapath/prov-gigapath](https://huggingface.co/prov-gigapath/prov-gigapath)  
+* **UNI:** [MahmoodLab/UNI](https://huggingface.co/MahmoodLab/UNI)
+* **UNI2-h:** [MahmoodLab/UNI2-h](https://huggingface.co/MahmoodLab/UNI2-h)
+
+#### Linear Probe Comparison
 | Model | Accuracy | F1 | Precision | Recall |
 |---|---|---|---|---|
 | NP-TEST-0 | *0.802* | *0.779* | *0.792* | *0.796* |
@@ -271,15 +282,6 @@ if __name__ == "__main__":
 
 <img src="model_compare_radar.png" alt="chart" width="800"/>
 
-* **NP-TEST-0:** Our model
-* **dinov2-giant:** Pretrained [Dinov2 Giant](https://huggingface.co/facebook/dinov2-giant)
-* **dinov2-giant_distilled_prov:** [Dinov2 Giant](https://huggingface.co/facebook/dinov2-giant) distilled from [provo-gigapath](https://huggingface.co/prov-gigapath/prov-gigapath)
-* **dinov2-large_distilled_prov:** [Dinov2 Large](https://huggingface.co/facebook/dinov2-large) distilled from [provo-gigapath](https://huggingface.co/prov-gigapath/prov-gigapath) 
-* **distilled_prov_finetuned:** dinov2-giant_distilled_prov was used as a base with additional finetuning without freezing teacher model. 
-* **prov-gigapath:** [prov-gigapath/prov-gigapath](https://huggingface.co/prov-gigapath/prov-gigapath)  
-* **UNI:** [MahmoodLab/UNI](https://huggingface.co/MahmoodLab/UNI)
-* **UNI2-h:** [MahmoodLab/UNI2-h](https://huggingface.co/MahmoodLab/UNI2-h)
-
 ### Model Evaluation Details
 
 The radar chart provides a visual comparison of multiple models across several performance metrics. Each axis extending from the center represents a different metric. The farther a model's line is from the center along a particular axis, the better its score for that specific metric (assuming higher is better for the metric).