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		What is GoEmotions
	


Dataset labelled 58000 Reddit comments with 28 emotions


admiration, amusement, anger, annoyance, approval, caring, confusion, curiosity, desire, disappointment, disapproval, disgust, embarrassment, excitement, fear, gratitude, grief, joy, love, nervousness, optimism, pride, realization, relief, remorse, sadness, surprise + neutral



	
		
	
	
		What is RoBERTa
	


RoBERTa builds on BERT’s language masking strategy and modifies key hyperparameters in BERT, including removing BERT’s next-sentence pretraining objective, and training with much larger mini-batches and learning rates. RoBERTa was also trained on an order of magnitude more data than BERT, for a longer amount of time. This allows RoBERTa representations to generalize even better to downstream tasks compared to BERT.


	
		
	
	
		Hyperparameters
	



	
		
	
	
		Results
	


Best Result of Macro F1 - 49.30%


	
		
	
	
		Usage
	


Output 



The EmoRoBERTa model is a text classification model that can classify text into 28 different emotions. It is trained on a dataset of 58,000 Reddit comments and uses the RoBERTa architecture, which is an improved version of the BERT model. The model achieves a macro F1 score of 49.30% and can be used to classify emotions in text.

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Arpanghoshal

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