Update README.md

README.md

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 This model has a slightly different architecture and training style:
 
 1. The model was followed by a continual pretraining (lm_head + embedding layers were tuned).
-2. Base model was trained on 15k instruction/response pairs.
+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 dramatical boost on arc challenge instead of winogrande.
+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 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.