---
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 Model ID

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TBA w/ ❤️

## Model Details

### Model Description

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- **Developed by:** [Liang Hsun Huang](https://www.linkedin.com/in/lianghsunhuang/?locale=en_US), [Min YI Chen](https://www.linkedin.com/in/min-yi-chen-68b6ab130/)
- **Funded by:** [APMIC](https://www.apmic.ai/)
- **Shared by:** [Twinkle AI](https://huggingface.co/twinkle-ai)
- **Model type:** Embedding + classification head
- **Language(s) (NLP):** Traditional Chinese & English
- **License:** [gemma](https://ai.google.dev/gemma/terms)
- **Finetuned from model:** [google/embeddinggemma-300m](https://huggingface.co/google/embeddinggemma-300m)

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- **Repository:** [lianghsun/fineweb-edu-zhtw-classifier](https://huggingface.co/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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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

- **Hardware Type:** [More Information Needed]
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## Technical Specifications [optional]

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## Model Card Authors

[Liang Hsun Huang](https://www.linkedin.com/in/lianghsunhuang/?locale=en_US)

## Model Card Contact

[Liang Hsun Huang](https://www.linkedin.com/in/lianghsunhuang/?locale=en_US)