up readme 2

README.md

@@ -48,9 +48,7 @@ Fine-tuned on a 2k sample of manually annotated Reddit (EN) and Twitter (PL) dat
 - **License:** [More Information Needed]
 - **Finetuned from model:** [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment)
 
-## Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
+## Model Sources 
 
 - **Repository:** [Colab notebook](https://colab.research.google.com/drive/1Rqgjp2tlReZ-hOZz63jw9cIwcZmcL9lR?usp=sharing)
 - **Paper:** TBA
@@ -135,9 +133,6 @@ labels = [i['label'] for i in result] # ['neutral', 'positive']
 
 
 
-### Summary
-
-
 # Citation 
 
 **BibTeX:**
@@ -154,6 +149,8 @@ labels = [i['label'] for i in result] # ['neutral', 'positive']
 **APA:**
 
 ```
-Gajewska, E., & Konat, B. (2023). SentimenTw XLM-RoBERTa-base Model for Multilingual Sentiment Classification on Social Media. https://huggingface.co/eevvgg/sentimenTw-political.
+Gajewska, E., & Konat, B. (2023).
+SentimenTw XLM-RoBERTa-base Model for Multilingual Sentiment Classification on Social Media.
+https://huggingface.co/eevvgg/sentimenTw-political.
 
 ```