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README.md
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model-index:
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- name: turkic-cyrillic-classifier
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# turkic-cyrillic-classifier
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an
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It achieves the following results on the evaluation set:
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- Loss: 0.0139
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- Accuracy: 0.9971
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## Model description
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## Intended uses & limitations
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-
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## Training and evaluation data
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-
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## Training procedure
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- Transformers 4.27.0
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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model-index:
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- name: turkic-cyrillic-classifier
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results: []
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language:
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- ba
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- cv
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- sah
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- tt
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- ky
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- kk
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- tyv
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- krc
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- ru
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datasets:
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- tatiana-merz/cyrillic_turkic_langs
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pipeline_tag: text-classification
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# turkic-cyrillic-classifier
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an tatiana-merz/cyrillic_turkic_langs dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0139
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- Accuracy: 0.9971
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## Model description
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The model classifies text based on a provided Turkic language written in Cyrillic script.
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## Intended uses & limitations
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## Training and evaluation data
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[cyrillic_turkic_langs](https://huggingface.co/datasets/tatiana-merz/cyrillic_turkic_langs/)
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## Training procedure
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- Transformers 4.27.0
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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