xlm-roberta-base-finetuned-marc-en Open-Source Model - Free for Amazon Review Text Classification

Xlm Roberta Base Finetuned Marc En

Developed by laurauzcategui

A fine-tuned version of the xlm-roberta-base model on the Amazon multilingual review dataset, primarily used for text classification tasks

Text Classification

Transformers

Open Source License:MIT #Multilingual Comment Analysis #Sentiment Score Prediction #Amazon Dataset

Downloads 19

Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version of xlm-roberta-base on the Amazon multilingual review dataset, suitable for multilingual text classification tasks, particularly performing well in product review analysis scenarios.

Model Features

Multilingual Support

Based on the xlm-roberta-base architecture, capable of processing multilingual text

Review Analysis Optimization

Specially fine-tuned on Amazon product review data, performing well in review classification tasks

Efficient Fine-tuning

Achieved good results with only 2 training epochs, validation loss 0.8945, mean absolute error 0.5

Model Capabilities

Multilingual Text Classification

Product Review Analysis

Sentiment Analysis

Use Cases

E-commerce

Product Review Classification

Classify and analyze product reviews on Amazon platform

Mean absolute error of 0.5 on evaluation set

Sentiment Analysis

Multilingual Review Sentiment Analysis

Analyze sentiment tendencies of user reviews in different languages

Training Loss	Epoch	Step	Validation Loss	Mae
1.1411	1.0	235	0.9358	0.5
0.9653	2.0	470	0.8945	0.5

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご

Xlm Roberta Base Finetuned Marc En

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 xlm-roberta-base-finetuned-marc-en

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

🔧 Technical Details

Training procedure

Training hyperparameters

Training results

Framework versions

📄 License