Model Card for fineweb-edu-zhtw-classifier

fineweb-edu-zhtw-classifier 是用來過濾繁體中文網頁文本「教育性」程度的輕量級分類器。建構於 google/embeddinggemma-300m 之上，以 fineweb-edu-zhtw-magistral-annotations 為訓練資料微調，輸出 c0／c1／c2 三類教育性標籤，作為 fineweb-edu-zhtw 過濾流程之核心模型。

⚠️ 規格重點： 本模型為 300M 參數 embedding + classification head 模型，不是生成模型；輸出為三分類標籤與 confidence。

Model Details

Model Description

• Developed by: Liang Hsun Huang, Min YI Chen
• Funded by: APMIC
• Shared by: Twinkle AI
• Model type: Embedding + classification head
• Language(s) (NLP): Traditional Chinese & English
• License: gemma
• Finetuned from model: google/embeddinggemma-300m

Model Sources [optional]

• Repository: lianghsun/fineweb-edu-zhtw-classifier
• Paper: TBA

Uses

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How to Get Started with the Model

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Training Details

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Summary

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Model Card Authors

Liang Hsun Huang

Model Card Contact

Liang Hsun Huang