Update README.md

README.md

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 license: cc-by-nc-4.0
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-This model is a fine-tuned version of RoBERTa-large. It was trained on 2,100 VR game reviews to measure sentiment on UX dimensions. Specifically, this model measures the sentiment on the UX dimension **Immersion**.
+This model is a fine-tuned version of RoBERTa-large [1]. It was trained on 2,100 VR game reviews to measure sentiment on UX dimensions. Specifically, this model measures the sentiment on the UX dimension **Immersion**.
 
 The model assigns one of four possible labels:
 
@@ -9,3 +9,5 @@ The model assigns one of four possible labels:
 1 (**positive**): The text describes the UX dimension positively <br />
 2 (**negative**): The text describes the UX dimension negatively <br />
 
+References
+[1] Liu, Y.; Ott, M.; Goyal, N.; Du, J.; Joshi, M.; Chen, D.; ... & Stoyanov, V. (2019). Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692.