xlm-roberta-base-finetuned-marc-en Open-source Multilingual Text Classification Model - Free Deployment for Precise Text Classification

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Xlm Roberta Base Finetuned Marc En

Developed by daveccampbell

A multilingual text classification model fine-tuned on the amazon_reviews_multi dataset based on XLM-RoBERTa-base

Large Language Model

Transformers

Open Source License:MIT #Multilingual Comment Analysis #E-commerce Rating Prediction #Low-resource Fine-tuning

Downloads 29

Release Time : 3/2/2022

Model Overview

This model is fine-tuned for sentiment analysis or rating prediction of Amazon multilingual review data, suitable for multilingual text classification tasks

Model Features

Multilingual Support

Based on XLM-RoBERTa architecture, capable of processing multilingual text

E-commerce Review Analysis

Specifically optimized for Amazon product review data, suitable for sentiment analysis in e-commerce scenarios

Efficient Fine-tuning

Achieves good performance with just two rounds of fine-tuning on the base model

Model Capabilities

Text Classification

Sentiment Analysis

Rating Prediction

Multilingual Text Processing

Use Cases

E-commerce Analysis

Product Review Sentiment Analysis

Analyze user sentiment tendencies in Amazon product reviews

Prediction accuracy with MAE 0.4756

Product Rating Prediction

Predict potential user ratings based on review content

Training Loss	Epoch	Step	Validation Loss	Mae
1.1705	1.0	235	0.9985	0.5854
0.9721	2.0	470	0.9199	0.4756

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Xlm Roberta Base Finetuned Marc En

Model Overview

Model Features

Model Capabilities

Use Cases

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