Update README.md

README.md

@@ -18,7 +18,7 @@ datasets:
 
 We trained this model as a rank-16 LoRA adapter with one epoch over `RolePlay-NPC` using a 40GB vRAM A100 in Google Colab. For this run, we employed a learning rate of `2e-5` and a total batch size of 1 and gradient accumulation steps of 16. A cosine learning rate scheduler was used with an 800-step warmup. With a gradient clipping of 0.4.
 
-Check out out training notebook [here](https://github.com/chimbiwide/Gemma3NPC/blob/main/Training/Gemma3NPC-Instruct.ipynb).
+Check out our training notebook [here](https://github.com/chimbiwide/Gemma3NPC/blob/main/Training/Gemma3NPC-Instruct.ipynb).
 
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