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README.md
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# xlm-roberta-base-conll2003-en
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the conll2003 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0534
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- Precision: 0.9479
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- Pytorch 1.13.1+cu116
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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# xlm-roberta-base-conll2003-en
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the [conll2003](https://huggingface.co/datasets/conll2003) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0534
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- Precision: 0.9479
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- Pytorch 1.13.1+cu116
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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### Citation
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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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```
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