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README.md
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# Model description
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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.
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# frozen_news_classifier_ft
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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).
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The learning news dataset is a well-balanced sample of recent news from the last five years.
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It achieves the following results on the evaluation set:
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# Model description
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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).
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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.
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The learning news dataset is a well-balanced sample of recent news from the last five years.
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It achieves the following results on the evaluation set:
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