Update README.md

README.md

@@ -14277,7 +14277,7 @@ print(util.dot_score(embeddings, embeddings))
 
 Оценки модели на бенчмарке [ruMTEB](https://habr.com/ru/companies/sberdevices/articles/831150/):
 
-|Model Name                         | Metric              | sbert_large_mt_nlu_ru  | sbert_large_nlu_ru  | rubert-tiny2    | rubert-tiny-turbo | multilingual-e5-small | multilingual-e5-base | multilingual-e5-large |
+|Model Name                         | Metric              | sbert_large_ mt_nlu_ru | sbert_large_ nlu_ru | rubert-tiny2    | rubert-tiny-turbo | multilingual-e5-small | multilingual-e5-base | multilingual-e5-large |
 |:----------------------------------|:--------------------|-----------------------:|--------------------:|----------------:|------------------:|----------------------:|---------------------:|----------------------:|
 |CEDRClassification                 | Accuracy            |         0.368          |         0.358       |      0.369      |        0.390      |        0.401          |        0.423         |       **0.448**       |
 |GeoreviewClassification            | Accuracy            |         0.397          |         0.400       |      0.396      |        0.414      |        0.447          |        0.461         |       **0.497**       |
@@ -14297,7 +14297,7 @@ print(util.dot_score(embeddings, embeddings))
 |SensitiveTopicsClassification      | Accuracy            |       **0.285**        |         0.280       |      0.220      |        0.244      |        0.228          |        0.234         |         0.257         |
 |TERRaClassification                | Average Precision   |         0.520          |         0.502       |      0.519      |        0.563      |        0.551          |        0.550         |       **0.584**       |
 
-|Model Name                         | Metric              | sbert_large_mt_nlu_ru  | sbert_large_nlu_ru  | rubert-tiny2    | rubert-tiny-turbo | multilingual-e5-small | multilingual-e5-base | multilingual-e5-large |
+|Model Name                         | Metric              | sbert_large_ mt_nlu_ru | sbert_large_ nlu_ru | rubert-tiny2    | rubert-tiny-turbo | multilingual-e5-small | multilingual-e5-base | multilingual-e5-large |
 |:----------------------------------|:--------------------|-----------------------:|--------------------:|----------------:|------------------:|----------------------:|----------------------:|---------------------:|
 |Classification                     | Accuracy            |         0,554          |        0,552        |      0,514      |        0,535      |        0,551          |        0,561          |      **0,588**       |
 |Clustering                         | V-measure           |       **0,526**        |        0,519        |      0,412      |        0,496      |        0,513          |        0,503          |        0,525         |