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  # xlm-roberta-base-conll2003
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- This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1579
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  - Precision: 0.8794
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  - Pytorch 1.13.1+cu116
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  - Datasets 2.8.0
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  - Tokenizers 0.13.2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # xlm-roberta-base-conll2003
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+ This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the [conll2003-persian](https://huggingface.co/datasets/Amir13/conll2003-persian
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+ ) dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1579
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  - Precision: 0.8794
 
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  - Pytorch 1.13.1+cu116
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  - Datasets 2.8.0
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  - Tokenizers 0.13.2
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+
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+ ### Citation
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+ If you used the datasets and models in this repository, please cite it.
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+
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+ ```bibtex
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+ @misc{https://doi.org/10.48550/arxiv.2302.09611,
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+ doi = {10.48550/ARXIV.2302.09611},
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+ url = {https://arxiv.org/abs/2302.09611},
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+ author = {Sartipi, Amir and Fatemi, Afsaneh},
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+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
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+ title = {Exploring the Potential of Machine Translation for Generating Named Entity Datasets: A Case Study between Persian and English},
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+ publisher = {arXiv},
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+ year = {2023},
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+ copyright = {arXiv.org perpetual, non-exclusive license}
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+ }
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+ ```