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frozen_news_classifier_ft

Text Classification
Transformers
TensorBoard
Safetensors
Russian
bert
Generated from Trainer
news
russian
media
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 Metrics Community
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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: