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Xlm Roberta Base Finetuned Marc En
A text classification model fine-tuned on the Amazon multilingual review dataset based on xlm-roberta-base
Downloads 16
Release Time : 3/2/2022
Model Overview
This model is a fine-tuned version of xlm-roberta-base, specifically designed for sentiment analysis or rating prediction tasks on Amazon multilingual reviews.
Model Features
Multilingual Support
Based on the XLM-RoBERTa architecture, capable of processing multilingual text
Review Analysis Optimization
Fine-tuned specifically for Amazon product review data, suitable for e-commerce review analysis scenarios
Efficient Fine-Tuning
Achieved good performance with just 2 training epochs, validation loss 0.8850, MAE 0.4390
Model Capabilities
Text Classification
Sentiment Analysis
Rating Prediction
Multilingual Text Processing
Use Cases
E-commerce Analysis
Product Review Rating Prediction
Predict user ratings for products (1-5 stars)
Achieved a mean absolute error of 0.4390 on the validation set
Review Sentiment Analysis
Analyze the sentiment tendency of user reviews (positive/negative)
Multilingual Applications
Cross-Language Review Analysis
Process user reviews in different languages
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