xlm-roberta-base-finetuned-marc-en-dummy Open-source Text Analysis Model

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Xlm Roberta Base Finetuned Marc En Dummy

Developed by lewtun

A text analysis model fine-tuned on the Amazon multilingual review dataset based on XLM-RoBERTa-base

Text Classification

Transformers

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

Downloads 21

Release Time : 3/2/2022

Model Overview

This model is optimized for Amazon product reviews, primarily used for sentiment analysis or rating prediction tasks

Model Features

Multilingual Support

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

Review Analysis Optimization

Fine-tuned specifically for Amazon product review data, suitable for e-commerce scenarios

Lightweight Fine-tuning

Achieves good results with just 2 training epochs, high training efficiency

Model Capabilities

Text Sentiment Analysis

Review Rating Prediction

Multilingual Text Processing

Use Cases

E-commerce Analysis

Product Review Sentiment Analysis

Analyze sentiment tendencies in Amazon product reviews

MAE metric reached 0.4634

Review Rating Prediction

Predict user ratings based on review content

Training Loss	Epoch	Step	Validation Loss	Mae
1.1258	1.0	235	0.9538	0.4390
0.9445	2.0	470	0.8931	0.4634

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Xlm Roberta Base Finetuned Marc En Dummy

Model Overview

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