Update README.md

README.md

@@ -91,3 +91,32 @@ If you have any questions or need further assistance, please feel free to reach
 | train    | 0.000917  | 0.999567      | 0.999280 | 0.999474       | 0.999089   |
 | val      | 0.001835  | 0.999478      | 0.999172 | 0.999349       | 0.998999   |
 | test     | 0.002225  | 0.999369      | 0.999051 | 0.999203       | 0.998901   |
+
+
+# BibTeX entry and citation info of the initial Distil-Bert-Base-Uncased
+```
+@article{Sanh2019DistilBERTAD,
+  title={DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter},
+  author={Victor Sanh and Lysandre Debut and Julien Chaumond and Thomas Wolf},
+  journal={ArXiv},
+  year={2019},
+  volume={abs/1910.01108}
+}
+```
+
+## Citation
+
+If you use the fine-tuned DistilBERT model provided in this repository, please cite it as follows:
+
+```
+@article{Meshwa2023,
+  title={Fine-Tuned DistilBERT for Text Classification},
+  author={Meshwa},
+  journal={Hugging Face Model Hub},
+  year={2023},
+  url={https://huggingface.co/Meshwa/Distill-Bert-Automation-Command-Classification}
+```
+
+Meshwa. (2023). Fine-Tuned DistilBERT for Text Classification. Hugging Face Model Hub. URL: [https://huggingface.co/Meshwa/Distill-Bert-Automation-Command-Classification](https://huggingface.co/Meshwa/Distill-Bert-Automation-Command-Classification)
+
+I appreciate your acknowledgment if you find this model useful in your work.