Quantifying the Carbon Emissions of Machine Learning
Paper
• 1910.09700 • Published
• 35
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We utilized the "Qwen/Qwen2.5-Coder-1.5B-Instruct" model and further pretrained it on the CodeNet dataset (https://huggingface.co/datasets/systemk/codenet), a large-scale collection of code samples across multiple programming languages. This dataset provides diverse problem-solving examples from competitive programming platforms, covering more than 50 programming languages and millions of code submissions. By pretraining on CodeNet, we aimed to enhance the model's understanding of programming patterns, syntax, and multi-language coding semantics.
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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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