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README.md
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base_model: bert-base-multilingual-uncased
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---
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# Language Detection Model
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The model has been fine-tuned based on [Language Detection](https://www.kaggle.com/datasets/basilb2s/language-detection)
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dataset found on *Kaggle*. The entire process of the dataset analysis as well as a complete description of the training procedure
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can be found in [one of my *Kaggle* notebooks](https://www.kaggle.com/code/sergeypolivin/language-recognition-using-bert)
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## References
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---
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base_model: bert-base-multilingual-uncased
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model-index:
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- name: lang-recogn-model
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results:
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- task:
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type: text-classification
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dataset:
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name: ai2_arc
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type: ai2_arc
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metrics:
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- name: accuracy
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type: accuracy
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value: 0.9836
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source:
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name: Language Detection Dataset
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url: https://www.kaggle.com/datasets/basilb2s/language-detection
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---
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# Language Detection Model
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The model has been fine-tuned based on [Language Detection](https://www.kaggle.com/datasets/basilb2s/language-detection)
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dataset found on *Kaggle*. The entire process of the dataset analysis as well as a complete description of the training procedure
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can be found in [one of my *Kaggle* notebooks](https://www.kaggle.com/code/sergeypolivin/language-recognition-using-bert)
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which has been used for the purpose of a faster model training on *GPU*.
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## Supported languages
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The model has been fine-tuned to detect one of the following 17 languages:
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- Arabic
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- Danish
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- Dutch
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- English
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- French
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- German
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- Greek
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- Hindi
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- Italian
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- Kannada
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- Malayalam
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- Portugeese
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- Russian
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- Spanish
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- Sweedish
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- Tamil
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- Turkish
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## References
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