| 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 | |