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@@ -108,11 +108,9 @@ that was pre-trained using the classical MLM objective.
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  <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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  - **Hardware Type:** RTX A6000
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  - **Hours used:** 300
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- - **Carbon Emitted:** 42 kg CO2 eq.
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  ## Citation
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  <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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  - **Hardware Type:** RTX A6000
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  - **Hours used:** 300
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+ - **Carbon Emitted:** cca. 42 kg CO2 eq. (based on [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute))
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  ## Citation
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