Update README.md

README.md

@@ -106,7 +106,11 @@ This is a [COMET](https://github.com/Unbabel/COMET) evaluation model: It receive
 
 [Unbabel’s Participation in the WMT20 Metrics Shared Task](https://aclanthology.org/2020.wmt-1.101) (Rei et al., WMT 2020)
 
-## Usage (unbabel-comet)
+# License
+
+Apache-2.0
+
+# Usage (unbabel-comet)
 
 Using this model requires unbabel-comet to be installed:
 
@@ -138,13 +142,13 @@ model_output = model.predict(data, batch_size=8, gpus=1)
 print (model_output)
 ```
 
-## Intended uses
+# Intended uses
 
 Our model is intented to be used for **MT evaluation**. 
 
 Given a a triplet with (source sentence, translation, reference translation) outputs a single score. This score is unbounded but typically falls between -1 and 1 where 1 reflects a perfect translation.
 
-## Languages Covered:
+# Languages Covered:
 
 This model builds on top of XLM-R which cover the following languages: