Update README.md (#1)

- Update README.md (711c518c6f2bf3f80975f01a39d866d583717ec0)


Co-authored-by: Aim Lab <[email protected]>

README.md

@@ -10,10 +10,7 @@ datasets:
 
 # DistilBERT base model (uncased)
 
-This model is a distilled version of the [BERT base model](https://huggingface.co/bert-base-uncased). It was
-introduced in [this paper](https://arxiv.org/abs/1910.01108). The code for the distillation process can be found
-[here](https://github.com/huggingface/transformers/tree/main/examples/research_projects/distillation). This model is uncased: it does
-not make a difference between english and English.
+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.
 
 ## Model description