license: gemma
datasets:
- lianghsun/fineweb-edu-zhtw-magistral-annotations
language:
- zh
metrics:
- f1
- google/embeddinggemma-300m
pipeline_tag: text-classification
library_name: transformers
tags:
- Taiwan
- ROC
- zhtw
- edu
- classifier
- Twinkle.AI
model-index:
- name: fineweb-edu-zhtw-classifier
results:
- task:
type: text-classification
name: Text Classification
dataset:
type: lianghsun/fineweb-edu-zhtw-magistral-annotations
name: fineweb-edu-zhtw-magistral-annotations
metrics:
- name: Loss
type: loss
value: 0.21275073289871216
- name: Precision
type: precision
value: 0.7671874817634704
- name: Recall
type: recall
value: 0.7840000000000001
- name: F1 (Macro)
type: f1-macro
value: 0.7656082438372686
- name: Accuracy
type: accuracy
value: 0.8093333333333333
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
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