add link to scatter plot notebook

README.md

@@ -67,9 +67,13 @@ Results on 1,000 protein pairs from the validation dataset, during training:
 |27000|0.918547416546341|0.9127677526055185|
 |30000|0.9239429677657788|0.9187051589781693|
 
+## Validation
+
+Scatter plots comparing the full and 128-dim embeddings to the original embeddings, using pairs from the test set: https://colab.research.google.com/drive/1hm4IIMXaLt_7QYRNvkiXl5BqmsHdC1Ue?usp=sharing
+
 ## Future
 
-This model will be updated when I have examples using it on protein classification tasks.
+This page will be updated when I have examples using it on protein classification tasks.
 
 I'm interested in whether [embedding quantization](https://huggingface.co/blog/embedding-quantization) could be even more efficient.