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@@ -17,7 +17,7 @@ A fine-tuned BERT model using the RTE dataset.
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  ### Description
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  This model is based on the [BERT base (uncased)](https://huggingface.co/google-bert/bert-base-uncased)
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- architecture and has been fine-tuned on the RTE dataset from the SuperGLUE benchmark.
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  - **Developed by:** [Cesar Gonzalez-Gutierrez](https://ceguel.es)
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  - **Funded by:** [ERC](https://erc.europa.eu)
@@ -92,4 +92,4 @@ Additionally, it may reflect or amplify patterns and biases present in the RTE t
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  ## Citation
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  If you use this model in your research, please cite both the base BERT model
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- and the SuperGLUE source.
 
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  ### Description
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  This model is based on the [BERT base (uncased)](https://huggingface.co/google-bert/bert-base-uncased)
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+ architecture and has been fine-tuned on the RTE dataset from the [SuperGLUE](https://huggingface.co/datasets/aps/super_glue) benchmark.
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  - **Developed by:** [Cesar Gonzalez-Gutierrez](https://ceguel.es)
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  - **Funded by:** [ERC](https://erc.europa.eu)
 
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  ## Citation
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  If you use this model in your research, please cite both the base BERT model
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+ and the RTE source.