Update README.md

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # RoBERTa_Sentiment_Analysis
 
-This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the https://www.kaggle.com/datasets/arkhoshghalb/twitter-sentiment-analysis-hatred-speech dataset.
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on [Twitter Sentiment Analysis](https://www.kaggle.com/datasets/arkhoshghalb/twitter-sentiment-analysis-hatred-speech dataset)
 It achieves the following results on the evaluation set:
 - Loss: 0.0994
 
@@ -29,7 +29,7 @@ Fine-tuning performed on a pretrained RoBERTa model. The code can be found [here
 
 The model is used to classify tweets as either being neutral or hate speech
 
-'test.csv' of Twitter Sentiment Analysis is unused and unlabelled dataset. Contributions in [code](https://github.com/atharva-m/Fine-tuning-RoBERTa-for-Sentiment-Analysis) to utilize the dataset for evaluation are welcome
+'test.csv' of Twitter Sentiment Analysis is unused and unlabelled dataset. Contributions in [code](https://github.com/atharva-m/Fine-tuning-RoBERTa-for-Sentiment-Analysis) to utilize the dataset for evaluation are welcome!
 
 ## Training and evaluation data