Update README.md

README.md

@@ -36,17 +36,19 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model was created by importing the dataset of the photos of flowers into 
+Google Colab from kaggle here: https://www.kaggle.com/datasets/l3llff/flowers. 
+I then used the image classification tutorial here: 
+https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/image_classification.ipynb
 
-## Intended uses & limitations
+obtaining the following notebook:
 
-More information needed
+https://colab.research.google.com/drive/1bapCEz4vkDd16Ax9jb5oHGa85PeuyZVW?usp=sharing
 
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
+The possible classified flowers are: 
+'common_daisy', 'rose', 'california_poppy', 'iris', 'astilbe', 'carnation', 
+'tulip', 'sunflower', 'coreopsis', 'magnolia', 'water_lily', 'bellflower', 
+'daffodil', 'calendula', 'dandelion', 'black_eyed_susan' 
 
 ### Training hyperparameters