Update README.md

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xlm-roberta-base-wnut2017
 
-This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the [wnut2017-persian](https://huggingface.co/datasets/Amir13/wnut2017-persian) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2943
 - Precision: 0.5430
@@ -77,3 +77,18 @@ 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}
+}
+```