Update README.md

README.md

@@ -16,10 +16,20 @@ This is a merge of pre-trained language models created using [mergekit](https://
 
 Testing training data validation:
 
-* Model Stock Loss: 0.451
+* Model Stock 3/4 Loss: 0.451
 
 My hypothesis that the pretraining was dragging down the stock merge's performance on training data in any way seems inaccurate.
 
+Cosmopedia data validation:
+
+* Model Stock 3/4 Loss: 1.021
+
+On the other hand, it indeed may have pulled it towards forgetfulness.
+This is a better loss vs catastrophic forgetting than the prior Model Stock or any of the training methods.
+
+I'm going to estimate that using the base model as an anchor point is a strong remedy for catastrophic forgetting when using multiple different training methods on the same dataset.
+Less sure I can say anything about how it affects adaptation to the new dataset. It's possible that if using this method, you'd want louder/stronger adaptation to start with than you otherwise would.
+
 ## Merge Details
 ### Merge Method