README.md

---
license: mit
library_name: pytorch
tags:
  - pytorch
  - baseline
  - classification
  - benchmark
---

# Model Card: Baseline Tiny Classifier

## Model description
A tiny PyTorch text classifier used as an auxiliary baseline for semantic
classification tasks in the SLM Efficiency Frontier benchmark.

## Architecture
Embedding -> mean pooling -> 2-layer MLP classifier. See
`pytorch_baselines/tiny_classifier.py` in the GitHub repository.

## Intended use
Calibration and reference baseline for the benchmark. Not intended for
production use.

## Training data
None / synthetic. The model is provided untrained as a structural baseline.

## Limitations
Small capacity; untrained; for benchmark calibration only.

## License
MIT.

## Official resources

- GitHub repository: https://github.com/AntonioVFranco/slm-efficiency-frontier
- Benchmark Dataset: https://huggingface.co/datasets/AntonioVFranco/slm-efficiency-frontier-benchmark
- Benchmark Space: https://huggingface.co/spaces/AntonioVFranco/slm-efficiency-frontier