license: gemma
datasets:
- lianghsun/fineweb-edu-zhtw
- HuggingFaceFW/fineweb-edu
language:
- zh
- en
metrics:
- perplexity
base_model:
- google/gemma-3-270m
library_name: transformers
tags:
- Taiwan
- ROC
- zhtw
- Twinkle.AI
pipeline_tag: text-generation
model-index:
- name: gemma-3-270m-tw
results:
- task:
type: text-generation
name: Text Generation
dataset:
type: HuggingFaceFW/fineweb-edu
name: fine-web-edu-10BT
metrics:
- name: Perplexity
type: perplexity
value: 24.312
- task:
type: text-generation
name: Text Generation
dataset:
type: lianghsun/fineweb-edu-zhtw
name: fineweb-edu-zhtw
metrics:
- name: Perplexity
type: perplexity
value: 31.473
Model Card for gemma-3-270m-tw
TBA w/ ❤️
Model Details
Model Description
- Developed by: Liang Hsun Huang
- Funded by: APMIC
- Shared by: Twinkle AI
- Model type: CasualLM
- Language(s) (NLP): Tranditional Chinese
- License: gemma
- Finetuned from model: google/gemma-3-270m
Model Sources
- Repository: lianghsun/gemma-3-270m-tw
- Paper: TBA
Uses
Direct Use
[More Information Needed]
Downstream Use [optional]
[More Information Needed]
Out-of-Scope Use
[More Information Needed]
Bias, Risks, and Limitations
[More Information Needed]
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
Training Details
Training Data
[More Information Needed]
Training Procedure
Preprocessing [optional]
[More Information Needed]
Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
[More Information Needed]
Evaluation
Testing Data, Factors & Metrics
Testing Data
[More Information Needed]
Factors
[More Information Needed]
Metrics
[More Information Needed]
Results
[More Information Needed]
Summary
Model Examination [optional]
[More Information Needed]
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: [More Information Needed]
- Hours used: [More Information Needed]
- Cloud Provider: [More Information Needed]
- Compute Region: [More Information Needed]
- Carbon Emitted: [More Information Needed]
Technical Specifications [optional]
Model Architecture and Objective
[More Information Needed]
Compute Infrastructure
[More Information Needed]
Hardware
[More Information Needed]
Software
[More Information Needed]
Citation [optional]
BibTeX:
[More Information Needed]
APA:
[More Information Needed]
Glossary [optional]
[More Information Needed]
More Information [optional]
[More Information Needed]