Update README.md

README.md

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-## Detecting the Orientation of CelebA pictures using Deep Learning
-This model has been trained on a modified version of the CelebA dataset, which was made from flipping 20,000 and keeping 20,000 images intact. 
-The model relies on Resnet-18 as a backbone and then is connected to one output node to classify whether images are flipped upside down (1) or not (0).
 ---
 language:
 - en 
@@ -25,4 +22,7 @@ model-index:
       - type: f1score    # Required. Example: wer
         value: 0.97  # Required. Example: 20.90
         name: Val F1 Score    # Optional. Example: Test WER
----
+---
+## Detecting the Orientation of CelebA pictures using Deep Learning
+This model has been trained on a modified version of the CelebA dataset, which was made from flipping 20,000 and keeping 20,000 images intact. 
+The model relies on Resnet-18 as a backbone and then is connected to one output node to classify whether images are flipped upside down (1) or not (0).