Quantifying the Carbon Emissions of Machine Learning
Paper
•
1910.09700
•
Published
•
22
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Model Details
Model Description
- Developed by: A. Britez
- Model type: RoBERTa
- Language(s) (NLP): ES - Rioplatense Spanish
Model Sources [optional]
- Repository: https://github.com/abrtz/baby-lm
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Summary
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Environmental Impact
- Hardware Type: A100-SXM4-40GB
- Hours used: 1.2 hours
- Cloud Provider: Google Cloud Platform
- Compute Region: europe-west4
- Carbon Emitted: Total emissions are estimated to be 0.17 kgCO$_2$eq of which 100 percents were directly offset by the cloud provider.
Estimations were conducted using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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Model Architecture and Objective
RoBERTa for MLM
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BabyLM
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