Update README.md

README.md

@@ -11,4 +11,13 @@ This model has been pushed to the Hub using the [PytorchModelHubMixin](https://h
 - Docs: [More Information Needed]
 
 
-test commit
+## About the project
+
+This is a decoder of image captioning model. 
+The image will be first preprocessed and resized to (224, 224) and then passed to ViT_b_32(with no classification layer), and then this will output
+(N, 768). Then this will be repeated 32(max_length) times and will be passed to K, V to CrossMultiHeadAttention block in decoder. This model was trained with
+Microsoft COCO2017 dataset and acheived 0.54 of masked_accuracy on validation set.
+
+
+## Sample Code
+To use this model, first you need to download ViT_b_32 which will be used as encoder and download decoder from this repo.