diff --git a/README.md b/README.md
index 8f237cc..205abff 100644
--- a/README.md
+++ b/README.md
@@ -53,7 +53,7 @@ within `Phoenix`!
     - [9.4 Changing our LiveView to persist data](#94-changing-our-liveview-to-persist-data)
     - [9.5 Showing feedback to the person in case of failure](#95-showing-feedback-to-the-person-in-case-of-failure)
       - [9.5.1 Showing a toast component with error](#951-showing-a-toast-component-with-error)
-- [Benchmarks between models](#benchmarks-between-models)
+- [Benchmarking models](#benchmarking-models)
 - [_Please_ Star the repo! ⭐️](#please-star-the-repo-️)
 
 
@@ -2903,7 +2903,7 @@ like so.
 
 
 
-# Benchmarks between models
+# Benchmarking models
 
 You may be wondering which model is best suitable for me?
 Depending on the use case,
diff --git a/_comparison/README.md b/_comparison/README.md
index 410ff02..a89b647 100644
--- a/_comparison/README.md
+++ b/_comparison/README.md
@@ -29,6 +29,7 @@ So any contribution is welcome! 🙏
 >
 > All the values in the table above are the median values of 
 > [**50 COCO Dataset images**](https://cocodataset.org/#home)
+> (for statistical relevance),
 > with the models being run
 > on an Apple M1 Pro with 16GB of memory.
 
@@ -45,7 +46,7 @@ we will walk you through on benchmarking
 some image captioning models 
 that `Bumblebee` offers.
 
-If you've followed the repo's guide, 
+If you've followed the repo's main [`README.md`](../README.md), 
 you'll probably have an idea that some models work better than others.
 In this guide, we'll provide a more *heuristic* representation of this,
 and help you create performance metrics on some of these models.
@@ -89,6 +90,12 @@ you need the `annotations` folder.
 This folder simply stores information of the captions
 of the images from the dataset,
 so you don't need to worry about it 🙂.
+- the `metrics.ipynb` file is also a `Jupyter Notebook` file
+that will process the results and create a table
+comparing each model.
+The notebook is documented with the metrics being used,
+so you can refer to it if you're confused
+on what each metric means!
 
 
 ## 0. Prerequisites 
@@ -293,7 +300,7 @@ and a new file with the results will be created for each one
 inside `coco_dataset`!
 
 
-## 2.1 Benchmarking different models (important!)
+## 2.1 (Important!) Benchmarking different models 
 
 When you make the above changes, 
 we are assuming that