Update README.md

README.md

@@ -23,7 +23,7 @@ This model uses an 1.3 billion parameters model as base to be further fine-tuned
 This model was trained on less than 25% of the dataset yet achieves competitive performance to current sota on open llm leaderboard.
 
 ### training
-Training took ~5 P100 gpu hours. It was trained on 15,000 gpt-4 shuffled samples. palmer was fine-tuned using lower learning rates ensuring it keeps as much general knowledge as possible.
+Training took ~5 P100 gpu hours. It was trained on 15,000 gpt-4 shuffled samples. no-prompt was fine-tuned using lower learning rates ensuring it keeps as much general knowledge as possible.
 
 ### prompt
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