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# DistilBERT base model (uncased)
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This
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introduced in [this paper](https://arxiv.org/abs/1910.01108). The code for the distillation process can be found
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[here](https://github.com/huggingface/transformers/tree/main/examples/research_projects/distillation). This model is uncased: it does
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not make a difference between english and English.
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## Model description
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# DistilBERT base model (uncased)
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This [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) text classification model trained on Urdu sentiment [data-set](https://huggingface.co/datasets/hassan4830/urdu-binary-classification-data) performs binary sentiment classification on any given Urdu sentence. The model has been fine-tuned for better results in manageable time frames.
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## Model description
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