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@@ -145,13 +145,13 @@ Given that GPT-4-turbo was already used in this context, I did not compare my mo
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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:** [More Information Needed]
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- - **Hours used:** [More Information Needed]
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- - **Cloud Provider:** [More Information Needed]
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- - **Compute Region:** [More Information Needed]
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- - **Carbon Emitted:** [More Information Needed]
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  ## Technical Specifications [optional]
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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 are 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:** ~20h in total, although most trainings took a bit more than 30 minutes with rare exceptions
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+ - **Cloud Provider:** Runpod
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+ - **Compute Region:** West US
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+ - **Carbon Emitted:** 1.5 kg CO2
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  ## Technical Specifications [optional]
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