Update README.md

README.md

@@ -25,10 +25,12 @@ This is a finetuned roberta-base model aimed at identifying the strength of emot
 Embeddings for comments can be extracted for downstream analyses
 
 ## Bias, Risks, and Limitations
-Sarcasm is treated as the combination of "amusement" and "disapproval" amusement can apply to irony and humorous tone, but largely appleis to sarcasm... adding specific class for sarcasm is a much needed improvement that will be pursued later down the line
+Sarcasm is treated as the combination of "amusement" and "disapproval" amusement can apply to irony and humorous tone, but largely applies to sarcasm... adding a specific class for sarcasm is a much needed improvement that will be pursued later down the line
 
 not many risks... just MANY limitations. The training dataset was initially imbalanced, this was remedied with data augmentation and a weighted loss function... nontheless it struggles with sarcasm and sometimes unpredictable predictions because of dominating classes.
 
+Ultimately, I hope some struggling grad or undergrad student can find this model useful for an arbitrary project they desire to prusue
+
 ## How to Get Started with the Model