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Xlm Roberta Base Finetuned Marc En J Run
A text classification model fine-tuned on the Amazon multilingual review dataset based on xlm-roberta-base
Downloads 13
Release Time : 3/2/2022
Model Overview
This model is fine-tuned for sentiment analysis or score prediction on Amazon multilingual review data, suitable for cross-lingual text classification tasks
Model Features
Multilingual Support
Based on the XLM-RoBERTa architecture, capable of processing multilingual text
Review Analysis Optimization
Specially fine-tuned for Amazon product review data, suitable for e-commerce text analysis scenarios
Efficient Fine-tuning
Achieved good performance with only 2 training epochs, validation loss 0.9189, MAE 0.4634
Model Capabilities
Text Classification
Sentiment Analysis
Score Prediction
Multilingual Text Processing
Use Cases
E-commerce Analysis
Product Review Sentiment Analysis
Analyze the sentiment tendency of Amazon product reviews
Validation set MAE 0.4634
Cross-lingual Review Score Prediction
Predict star ratings for reviews in different languages
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