Update README.md

README.md

@@ -17,7 +17,7 @@ The example uses a small dataset of 248 question-answer pairs from S-Group.
 While this small dataset will likely lead to overfitting, it effectively showcases the fine-tuning process using Unsloth. 
 This repository is intended as a demonstration of the fine-tuning method, not a production-ready solution. 
 Use repetition_penalty and no_repeat_ngram_size in prediction.
-Instructios and dataset are in [GitHub](https://github.com/MLConvexAI/Gemma-2-2b-it-finetuning).
+Instructions and dataset are in [GitHub](https://github.com/MLConvexAI/Gemma-2-2b-it-finetuning).
 
 
 # Uploaded  model