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Roberta Base Multilingual Sentiment
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Roberta Base Multilingual Sentiment

Developed by clapAI
This model is a multilingual sentiment analysis model fine-tuned on an unspecified dataset based on vinai/phobert-base, supporting sentiment classification tasks for multilingual texts including Vietnamese.
Text Classification
Transformers
 Supports Multiple LanguagesOpen Source License:Apache-2.0#Multilingual Sentiment Analysis#PhoBERT Fine-tuning#Low-resource Optimization
Downloads 172
Release Time : 12/31/2024

Model Overview

A multilingual sentiment analysis model based on the PhoBERT architecture, primarily used for text sentiment classification tasks. The model achieves a micro-average F1 score of 31.19%, suitable for sentiment analysis applications in multilingual environments.

Model Features

Multilingual Support
Based on the PhoBERT-base architecture, specifically optimized for processing multilingual texts including Vietnamese.
Efficient Training
Utilizes multi-GPU parallel training with a batch size of 1024 and mixed-precision training for improved efficiency.
Optimized Scheduling
Uses a cosine learning rate scheduler with warm-up strategy to optimize the training process.

Model Capabilities

Text Sentiment Classification
Multilingual Text Processing
Batch Text Analysis

Use Cases

Social Media Analysis
Vietnamese Social Media Sentiment Monitoring
Analyze sentiment tendencies in Vietnamese social media posts.
Customer Feedback Analysis
Multilingual Customer Review Classification
Perform sentiment classification on multilingual customer feedback.
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