Update README.md

README.md

@@ -41,7 +41,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xlm-roberta-base-wnut2017-en
 
-This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the wnut_17 dataset.
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on [wnut_17](https://huggingface.co/datasets/wnut_17) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2319
 - Precision: 0.7220
@@ -101,3 +101,18 @@ The following hyperparameters were used during training:
 - Pytorch 1.13.1+cu116
 - Datasets 2.9.0
 - Tokenizers 0.13.2
+### Citation
+If you used the datasets and models in this repository, please cite it.
+
+```bibtex
+@misc{https://doi.org/10.48550/arxiv.2302.09611,
+  doi = {10.48550/ARXIV.2302.09611},
+  url = {https://arxiv.org/abs/2302.09611},
+  author = {Sartipi, Amir and Fatemi, Afsaneh},
+  keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
+  title = {Exploring the Potential of Machine Translation for Generating Named Entity Datasets: A Case Study between Persian and English},
+  publisher = {arXiv},
+  year = {2023},
+  copyright = {arXiv.org perpetual, non-exclusive license}
+}
+```