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@@ -123,9 +123,9 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
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  - **Compute Region:** US
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  - **Carbon Emitted:** [More Information Needed]
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- Experiments were conducted using Google Cloud Platform in region northamerica-northeast1, which has a carbon efficiency of 0.03 kgCO$_2$eq/kWh. A cumulative of 10.5 hours of computation was performed on hardware of type A100 PCIe 40/80GB (TDP of 250W).
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- Total emissions are estimated to be 0.08 kgCO$_2$eq of which 100 percents were directly offset by the cloud provider.
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  Estimations were conducted using the \href{https://mlco2.github.io/impact#compute}{MachineLearning Impact calculator} presented in \cite{lacoste2019quantifying}.
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  - **Compute Region:** US
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  - **Carbon Emitted:** [More Information Needed]
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+ Experiments were conducted using Google Cloud Platform in region northamerica-northeast1, which has a carbon efficiency of 0.03kgCO^2/kWh. A cumulative of 10.5 hours of computation was performed on hardware of type A100 PCIe 40/80GB (TDP of 250W).
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+ Total emissions are estimated to be 0.08 kgCO^2 of which 100 percents were directly offset by the cloud provider.
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  Estimations were conducted using the \href{https://mlco2.github.io/impact#compute}{MachineLearning Impact calculator} presented in \cite{lacoste2019quantifying}.
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