model card
**Model Cards and AI Documentation**
**What is a Model Card?**
A standardized document describing an ML model, including its capabilities, limitations, intended use, and potential risks.
**Model Card Sections**
**Basic Information**
```markdown
# Model Card: [Model Name]
## Model Details
- Developer: [Organization]
- Model type: [Architecture, e.g., Transformer]
- Model size: [Parameters]
- Training data: [Description]
- Training procedure: [Brief methodology]
- Model date: [Released date]
```
**Intended Use**
```markdown
## Intended Use
- Primary use cases: [Applications]
- Out-of-scope uses: [What NOT to use for]
- Users: [Target audience]
```
**Performance**
```markdown
## Performance
| Benchmark | Score | Notes |
|-----------|-------|-------|
| MMLU | 85.3 | General knowledge |
| HumanEval | 72.1 | Code generation |
| MT-Bench | 8.9 | Conversation |
```
**Limitations and Risks**
```markdown
## Limitations
- Factual errors: May hallucinate
- Bias: [Known biases]
- Safety: [Potential harms]
- Languages: [Supported/tested languages]
## Ethical Considerations
- [Privacy concerns]
- [Potential for misuse]
- [Environmental impact]
```
**System Cards (for AI Systems)**
Extends model cards for deployed systems:
- User interface considerations
- Deployment context
- Monitoring and feedback mechanisms
- Incident response procedures
**Data Cards**
Document training datasets:
```markdown
## Data Card
### Dataset Description
- Source: [Where data came from]
- Size: [Number of samples]
- Collection: [How it was gathered]
### Composition
- Demographics: [Representation]
- Languages: [Coverage]
- Time period: [When collected]
### Preprocessing
- Filtering: [What was removed]
- Anonymization: [Privacy measures]
```
**Tools**
| Tool | Purpose |
|------|---------|
| Hugging Face Model Cards | Standard format |
| Google Model Cards | Model Card Toolkit |
| Datasheets for Datasets | Data documentation |
**Best Practices**
- Update cards as models evolve
- Be specific about limitations
- Include quantitative metrics
- Document known failure cases
- Provide example use cases