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@@ -109,6 +109,11 @@ When fine-tuned on those datasets, this model (the first row of the table) achie
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  To conclude, this ConvBERT model wins the ELECTRA model while losing to other models but is still fairly competitive compared to our roberta-large models when taking into account that this ConvBERT model has 106M parameters when roberta-large models have 355M parameters. ConvBERT winning the ELECTRA is also in line with the findings of the [ConvBERT paper](https://arxiv.org/abs/2008.02496).
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  ## Team Members
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  - Aapo Tanskanen, [Hugging Face profile](https://huggingface.co/aapot), [LinkedIn profile](https://www.linkedin.com/in/aapotanskanen/)
 
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  To conclude, this ConvBERT model wins the ELECTRA model while losing to other models but is still fairly competitive compared to our roberta-large models when taking into account that this ConvBERT model has 106M parameters when roberta-large models have 355M parameters. ConvBERT winning the ELECTRA is also in line with the findings of the [ConvBERT paper](https://arxiv.org/abs/2008.02496).
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+ ## Acknowledgements
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+ This project would not have been possible without compute generously provided by Google through the
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+ [TPU Research Cloud](https://sites.research.google/trc/).
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  ## Team Members
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  - Aapo Tanskanen, [Hugging Face profile](https://huggingface.co/aapot), [LinkedIn profile](https://www.linkedin.com/in/aapotanskanen/)