metadata
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