Update README.md

README.md

@@ -67,7 +67,7 @@ According to our evaluations, Zyda is the most performant per-token open dataset
 <!-- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65c05e75c084467acab2f84a/fXaQAOBDJpoaAr1clfTel.png) -->
 
 <center>
-<img src="https://cdn-uploads.huggingface.co/production/uploads/65c05e75c084467acab2f84a/fXaQAOBDJpoaAr1clfTel.png" width="900" alt="Zyda performance across steps.">
+<img src="https://cdn-uploads.huggingface.co/production/uploads/65c05e75c084467acab2f84a/fXaQAOBDJpoaAr1clfTel.png" width="800" alt="Zyda performance across steps.">
 </center>
 
 These results are an aggregate scores of classic language modelling evaluations (piqa, winogrande, openbookqa, arc-easy, arc-challenge) across time for a 1.4B model trained on 50B tokens of each dataset.
@@ -132,7 +132,7 @@ StarCoder: https://huggingface.co/datasets/bigcode/starcoderdata
 
 
 <center>
-<img src="https://cdn-uploads.huggingface.co/production/uploads/65c05e75c084467acab2f84a/eGHViP9QIYvTtxRYDILGI.png" width="900" alt="Composition of Zyda">
+<img src="https://cdn-uploads.huggingface.co/production/uploads/65c05e75c084467acab2f84a/eGHViP9QIYvTtxRYDILGI.png" width="800" alt="Composition of Zyda">
 </center>
 
 <!-- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65c05e75c084467acab2f84a/dQV8zNTNCx1xMMT-iupY6.png) -->