---
language:
- ru

pipeline_tag: sentence-similarity

tags:
- russian
- pretraining
- embeddings
- tiny
- feature-extraction
- sentence-similarity
- sentence-transformers
- transformers

datasets:
- IlyaGusev/gazeta
- zloelias/lenta-ru

license: mit
base_model: cointegrated/rubert-tiny2

---


Быстрая модель BERT для расчетов эмбедингов предложений на русском языке. Модель основана на [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2)  - имеет аналогичные размеры контекста (2048), ембединга (312) и быстродействие.



## Использование:
```Python
from sentence_transformers import SentenceTransformer, util

model = SentenceTransformer('sergeyzh/rubert-tiny-turbo')

sentences = ["привет мир", "hello world", "здравствуй вселенная"]
embeddings = model.encode(sentences)
print(util.dot_score(embeddings, embeddings))
```

## Метрики
Оценки модели на бенчмарке [encodechka](https://github.com/avidale/encodechka):

| model                              | CPU       | GPU      | size     |   Mean S  | Mean S+W   |   dim  |
|:-----------------------------------|----------:|---------:|---------:|----------:|-----------:|-------:|
| BAAI/bge-m3                        | 523.40    | 22.50    | 2166     |    0.787  |   0.696    |  1024  |
| intfloat/multilingual-e5-large     | 506.80    | 30.80    | 2136     |    0.780  |   0.686    |  1024  |
| intfloat/multilingual-e5-base      | 130.61    | 14.39    | 1061     |    0.761  |   0.669    |   768  |
| **sergeyzh/rubert-tiny-turbo**     | **5.51**  |**3.25**  |**111**   |  **0.749**| **0.667**  | **312**|
| intfloat/multilingual-e5-small     |  40.86    | 12.09    |  449     |    0.742  |   0.645    |   384  |
| cointegrated/rubert-tiny2          |   5.51    |  3.25    |  111     |    0.704  |   0.638    |   312  |

| model                              | STS      | PI       | NLI      | SA       | TI       | IA       | IC       | ICX      | NE1      | NE2      |
|:-----------------------------------|:---------|:---------|:---------|:---------|:---------|:---------|:---------|:---------|:---------|:---------|
| BAAI/bge-m3                        |  0.864   |  0.749   |  0.510   |  0.819   |  0.973   |  0.792   |  0.809   |  0.783   |  0.240   |  0.422   |
| intfloat/multilingual-e5-large     |  0.862   |  0.727   |  0.473   |  0.810   |  0.979   |  0.798   |  0.819   |  0.773   |  0.224   |  0.374   |
| intfloat/multilingual-e5-base      |  0.835   |  0.704   |  0.459   |  0.796   |  0.964   |  0.783   |  0.802   |  0.738   |  0.235   |  0.376   |
| sergeyzh/rubert-tiny-turbo         |**0.828** |**0.722** |**0.476** |**0.787** |**0.955** |**0.757** |**0.780** |**0.685** |**0.305** |**0.373** |
| intfloat/multilingual-e5-small     |  0.822   |  0.714   |  0.457   |  0.758   |  0.957   |  0.761   |  0.779   |  0.691   |  0.234   |  0.275   |
| cointegrated/rubert-tiny2          |  0.750   |  0.651   |  0.417   |  0.737   |  0.937   |  0.746   |  0.757   |  0.638   |  0.360   |  0.386   |