AntonioVFranco/slm-efficiency-baseline-tiny-classifier

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