Update README.md

README.md

@@ -33,18 +33,22 @@ pipeline_tag: image-classification
 # vit-base-patch16-224-in21k_lung_and_colon_cancer
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k).
+
 It achieves the following results on the evaluation set:
 - Loss: 0.0016
 - Accuracy: 0.9994
-- Weighted f1: 0.9994
-- Micro f1: 0.9994
-- Macro f1: 0.9994
-- Weighted recall: 0.9994
-- Micro recall: 0.9994
-- Macro recall: 0.9994
-- Weighted precision: 0.9994
-- Micro precision: 0.9994
-- Macro precision: 0.9994
+- F1
+  - Weighted: 0.9994
+  - Micro: 0.9994
+  - Macro: 0.9994
+- Recall
+  - Weighted: 0.9994
+  - Micro: 0.9994
+  - Macro: 0.9994
+- Precision
+  - Weighted: 0.9994
+  - Micro: 0.9994
+  - Macro: 0.9994
 
 ## Model description
 
@@ -61,7 +65,6 @@ This model is intended to demonstrate my ability to solve a complex problem usin
 Dataset Source: https://www.kaggle.com/datasets/andrewmvd/lung-and-colon-cancer-histopathological-images
 
 _Sample Images From Dataset:_
-
 ![Sample Images](https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/raw/main/Computer%20Vision/Image%20Classification/Multiclass%20Classification/Lung%20%26%20Colon%20Cancer/Images/Sample%20Images.png)
 
 ## Training procedure