Model Cards
This page summarizes the model-card layer for the project.
Purpose
Model cards separate model capability claims from implementation details.
Each model card should include:
- model name and version
- task and dataset context
- training data summary
- evaluation metrics
- intended use
- limitations
- validation status
Current model families
- TransnnMIL v2.0
- AttentionMIL
- CLAM-style MIL
- TransMIL-style baselines
- foundation encoder pipelines
Evidence standard
A result should specify:
- dataset
- split
- seed or cross-validation protocol
- metric definition
- hardware / training configuration
- whether the result is smoke, benchmark, or validation
Clinical claims require separate validation and are not implied by benchmark results.