updated readme

README.md

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 # Youtube-8M-WILLOW
 This is the solution of the kaggle Youtube-8M Large-Scale Video Understanding challenge winners.
+For more details about our models,  please read our arXiv paper: ... .
 
-The code is build on top of the Google Youtube-8M starter code (https://github.com/google/youtube-8m)
+The code is built on top of the Google Youtube-8M starter code (https://github.com/google/youtube-8m)
 Please look at their README to see the needed dependencies to run the code.
 
-On top of this, you will only need to have the pandas python library installed.
+You will additionally only need to have the pandas python library installed.
 
-The models have been run on NVIDIA TITAN X 12 GB GPU.
+Hardware requirement: Each model can be run on a single NVIDIA TITAN X 12 GB GPU. Some of the trained
+do not fit with a GPU with at least 10GB of memory. In that case, please do not modify the training batch size 
+of these models as it might effect the final results.
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+Our submitted model is a weighted ensemble of 25 models.
+However for the sake of simplicity, this repot will contain a much more simple ensemble of 
+7 models that are enough to reach the first place with a significant margin.
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+Antoine Miech