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Distilbert Base Multilingual Cased Sentiment 2
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Distilbert Base Multilingual Cased Sentiment 2

Developed by philschmid
This is a multilingual text sentiment analysis model based on DistilBERT, fine-tuned on the amazon_reviews_multi dataset, supporting sentiment classification tasks in multiple languages.
Text Classification
Transformers
Open Source License:Apache-2.0#Multilingual Sentiment Analysis#E-commerce Review Classification#Lightweight BERT
Downloads 1,520
Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version of distilbert-base-multilingual-cased on the amazon_reviews_multi dataset, primarily used for multilingual text sentiment analysis.

Model Features

Multilingual Support
Based on the distilbert-base-multilingual-cased architecture, it supports sentiment analysis in multiple languages.
Efficient Training
Utilizes the lightweight architecture of DistilBERT to reduce computational resource requirements while maintaining performance.
High Accuracy
Achieves 74.76% accuracy and F1 score on the amazon_reviews_multi dataset.

Model Capabilities

Text Sentiment Analysis
Multilingual Text Classification

Use Cases

E-commerce
Product Review Sentiment Analysis
Analyze the sentiment tendencies of Amazon product reviews.
74.76% accuracy
Social Media
Multilingual Social Media Content Analysis
Analyze sentiment tendencies in social media content across different languages.
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