
	
		
	
	
		Model Trained Using AutoNLP
	



Problem type: Multi-class Classification
Model ID: 20114061
CO2 Emissions (in grams): 3.651199395353127



	
		
	
	
		Validation Metrics
	



Loss: 0.5046541690826416
Accuracy: 0.8036219581211093
Macro F1: 0.807095210403678
Micro F1: 0.8036219581211093
Weighted F1: 0.8039634739225368
Macro Precision: 0.8076842795233988
Micro Precision: 0.8036219581211093
Weighted Precision: 0.8052135235094771
Macro Recall: 0.8075241470527056
Micro Recall: 0.8036219581211093
Weighted Recall: 0.8036219581211093



	
		
	
	
		Usage
	


You can use cURL to access this model:

Or Python API:



The autonlp-Tweet-Sentiment-Extraction-20114061 model is a text classification model trained using AutoNLP. It is designed to classify the sentiment of tweets into multiple classes. The model has achieved an accuracy of 0.8036 on the validation dataset. It can be accessed using cURL or the Python API.

Amansolanki

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autonlp-Tweet-Sentiment-Extraction-20114061

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