change the README

README.md

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-# language_modelling
+# Language Modelling
 Repository containing the results of the Natural Language Understanding course project about Language Modelling.
+
+## Project description
+The proposed task of Language Modelling (LM) for the NLU course required to:
+
+1. implement a Language Model using one of the RNN architectures (eg. Vanilla, LSTM, GRU);
+2. train it and evaluate its performance on the word-level Penn Treebank (PTB) dataset; 
+3. reach a baseline value of 140 PP using a Vanilla RNN, or 90.7 PP using an LSTM.
+
+As a starting point, I decided to implement a very basic model made of:
+- a neural embedding layer;
+- an LSTM, to capture context information;
+- a fully connected layer, for the final word prediction; and obtained 137 PP.
+
+To improve such results, I have considered the techniques described by Merity et. al, reaching 81.43 PP.
+
+![](./report/assets/run_results_best.png)