Update README.md

README.md

@@ -4,15 +4,19 @@ library_name: keras
 
 ## Model description
 
-More information needed
+This repo contains the trained model Self-supervised contrastive learning with SimSiam on Cifar 10 Dataset.
+Keras link: https://keras.io/examples/vision/simsiam/
 
 ## Intended uses & limitations
+The trained model can be used as a learned representation for downstream tasks like image classification.
 
-More information needed
 
 ## Training and evaluation data
 
-More information needed
+Original Cifar 10 train & test dataset were loaded from tensorflow datasets.
+Two particular augmentation transforms that seem to matter the most are: 
+1.) Random resized crops
+2.) Color distortions
 
 ## Training procedure