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Mt5 Small Finetuned Amazon En Zh TW
This model is a text summarization model fine-tuned on the Amazon dataset based on google/mt5-small, supporting English to Traditional Chinese abstract generation tasks.
Downloads 28
Release Time : 3/5/2022
Model Overview
This is a sequence-to-sequence model for text summarization, specifically optimized for English to Traditional Chinese summarization tasks.
Model Features
Cross-language Summarization Capability
Capable of converting English text summaries into Traditional Chinese summaries
Efficient Model
Based on the mT5-small architecture, it maintains good performance while offering high inference efficiency
Fine-tuning Optimization
Specially fine-tuned on the Amazon product review dataset, making it suitable for summarizing e-commerce-related content
Model Capabilities
Text Summarization
Cross-language Conversion
Sequence Generation
Use Cases
E-commerce
Product Review Summarization
Automatically summarizing English product reviews into Traditional Chinese
Achieved a Rouge1 score of 15.88 on the test set
Content Localization
English Content Summarization Localization
Converting English news or article summaries into Traditional Chinese versions
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