Deberta V3 Base Goemotions
A text sentiment classification model fine-tuned based on microsoft/deberta-v3-base, trained on an unknown dataset with an evaluated F1 score of 0.4468
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Release Time : 3/2/2022
Model Overview
This model is a fine-tuned version of the DeBERTa-v3-base architecture, primarily used for text sentiment classification tasks. Fine-tuning enhances its performance on specific sentiment classification tasks.
Model Features
Efficient Fine-tuning
Fine-tuned based on the powerful DeBERTa-v3-base architecture, fully leveraging the advantages of the pre-trained model
Sentiment Analysis
Optimized specifically for sentiment classification tasks, capable of identifying emotional tendencies in text
Model Capabilities
Text Sentiment Classification
Natural Language Understanding
Use Cases
Sentiment Analysis
Social Media Sentiment Monitoring
Analyze user sentiment tendencies in social media posts
F1 score 0.4468 (based on evaluation set)
Product Review Analysis
Identify sentiment tendencies in user reviews
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