Update README.md

README.md

@@ -30,7 +30,7 @@ This model has a slightly different architecture and training style:
 2. Base model was pretrained on 75k instruction/response pairs and merged.
 3. Similar architecture than palmer series but smaller in context size (8192)
 
-In short, palmer is now half the size, twice the speed and same overall performance with a notable improvement on mmlu and arc challenge instead of winogrande. As of Wed 17 Jul, it beats all models =< 0.5b on hellaswag.
+In short, palmer is now half the size, twice the speed and almost same overall performance with a notable improvement on mmlu and arc challenge instead of winogrande. As of Wed 17 Jul, it beats all models =< 0.5b on hellaswag.
 
 As all palmer models, the model is biased to respond to answers without using any specific prompt, feel free to further fine-tune it for your specific use case.