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# MTEB(por) — Random Baseline Encoder
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> ⚠️ **This is NOT a trained model.** It is the **chance-level floor** reference for the
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> [MTEB
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It maps each input text to a deterministic, L2-normalized **random** vector (seeded by a hash of
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the text). It carries **zero semantic signal** — two textually-different but semantically-similar
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## Citation
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Part of the
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identical pinned-SHA tasks used for every benchmarked model.
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# MTEB(por) — Random Baseline Encoder
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> ⚠️ **This is NOT a trained model.** It is the **chance-level floor** reference for the
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> [MTEB-BR](https://huggingface.co/MTEB-BR) Brazilian-Portuguese embedding benchmark.
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It maps each input text to a deterministic, L2-normalized **random** vector (seeded by a hash of
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the text). It carries **zero semantic signal** — two textually-different but semantically-similar
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## Citation
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Part of the MTEB-BR benchmark project. The floor is computed with the
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identical pinned-SHA tasks used for every benchmarked model.
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