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Deberta V3 Base Goemotions
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Deberta V3 Base Goemotions

Developed by mrm8488
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
Text Classification
Transformers
Open Source License:MIT#Sentiment Analysis#High Precision F1#Multi-round Fine-tuning
Downloads 81
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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