---
base_model: bert-base-multilingual-uncased
model-index:
  - name: lang-recogn-model
    results:
      - task:
          type: text-classification
        dataset:
          name: ai2_arc
          type: ai2_arc
        metrics:
          - name: accuracy
            type: accuracy
            value: 0.9836
        source:
          name: Language Detection Dataset
          url: https://www.kaggle.com/datasets/basilb2s/language-detection
---

# Language Detection Model

The model presented in the following repository represents a fine-tuned version of `BertModelForSequenceClassification` 
pretrained on [multilingual texts](https://huggingface.co/bert-base-multilingual-uncased).

## Training/fine-tuning

The model has been fine-tuned based on [Language Detection](https://www.kaggle.com/datasets/basilb2s/language-detection) 
dataset found on *Kaggle*. The entire process of the dataset analysis as well as a complete description of the training procedure
can be found in [one of my *Kaggle* notebooks](https://www.kaggle.com/code/sergeypolivin/language-recognition-using-bert) 
which has been used for the purpose of a faster model training on *GPU*.

## Supported languages

The model has been fine-tuned to detect one of the following 17 languages:

- Arabic
- Danish
- Dutch
- English
- French
- German
- Greek
- Hindi
- Italian
- Kannada
- Malayalam
- Portugeese
- Russian
- Spanish
- Sweedish
- Tamil
- Turkish

## References

1. [BERT multilingual base model (uncased)](https://huggingface.co/bert-base-multilingual-uncased)
2. [Language Detection Dataset](https://www.kaggle.com/datasets/basilb2s/language-detection)