Update README.md

README.md

@@ -36,12 +36,6 @@ The Buzz model, Dataset, and Code are to be released to build a toolkit that aim
 
 the **Buzz dataset** and two additional models: **Buzz-2.5B-Small** and **Buzz-5B-Medium**, the codebase to refine, filter and augment the data, as well as prune and train your own variants, will additionally be released in the coming days.
 
-## Performance
-
-Buzz-8b-Large achieves remarkably low train and validation loss, with unseen data loss reaching around **0.5** by the end of training. This performance showcases the effectiveness of our novel iterative fine-tuning approach, which maximizes the reuse of pretrained weights. Even the smallest variant, Buzz-Small, maintains a steady train loss of approximately **0.4-0.6**, on entirely new data and hold out sets.
-
-[ benchmark scores table here]
-
 ## Iterative Fine-Tuning Methodology
 
 Our research builds upon the concepts introduced in several key papers, including: