Update README.md

README.md

@@ -263,7 +263,7 @@ Teapot LLM is fine-tuned from [flan-t5-large](https://huggingface.co/google/flan
 - [Hardware] Teapot was trained for ~10hr on an A100 provided by Google Colab.
 - [Hyperparameters] The model was trained with various learning rates and monitored to ensure task specific performance was learned without catastrophic forgetting.
 
-### Evaluation
+### Model Evaluation
 TeapotLLM is focused on in-context reasoning tasks, and therefore most benchmarks are not suitable for evaluation. We want TeapotLLM to be a practical tool for QnA and information extraction, so we have developed custom datasets to benchmark performance. 
 
 [Evaluation Notebook Here](https://github.com/zakerytclarke/teapot/blob/main/docs/evals/TeapotLLM_Benchmark.ipynb)