data-silence
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frozen_news_classifier_ft

Text Classification

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 # Model description
 This model is a fine-tuned version of [sentence-transformers/LaBSE](https://huggingface.co/sentence-transformers/LaBSE) on my [news dataset](https://huggingface.co/datasets/data-silence/rus_news_classifier).
-The goal of this model was to create a universal model for categorizing Russian-language news that would preserve the ability of the basic LaBSE model to generate multi-lingual text embeddings in a single vector space.
 The learning news dataset is a well-balanced sample of recent news from the last five years.
 It achieves the following results on the evaluation set:

 # Model description
 This model is a fine-tuned version of [sentence-transformers/LaBSE](https://huggingface.co/sentence-transformers/LaBSE) on my [news dataset](https://huggingface.co/datasets/data-silence/rus_news_classifier).
+The goal of this model was to create a universal model for categorizing Russian-language news that would preserve the ability of the basic LaBSE model to generate multi-lingual text embeddings in a single vector space.
+It should be noted that the model allows to classify news articles in other languages available in LaBSE, but the quality of such classification will be worse than Russian-language news texts.
 The learning news dataset is a well-balanced sample of recent news from the last five years.
 It achieves the following results on the evaluation set: