Quantifying the Carbon Emissions of Machine Learning
Paper • 1910.09700 • Published • 47
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Model Details
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been manually generated.
- Developed by: Noone
- Model type: transformer i think
- Language(s) (NLP): prolly english
- License: superfn's LLC
Model Sources [optional]
fuh no
Uses
idfk whatevrr
Recommendations
maybe talk to it
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
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Training Details
Training Data
trained on pornhub technology from xvideos dataset to provide you mythos ai in 0.1b parameter model with xworm algorithm to get the smartest model ever made on earth
Training Procedure
idfk
Training Hyperparameters
- Training regime: temp topp topt topx topn
Speeds, Sizes, Times [optional]
0.1b fastest model eveer
Evaluation
Testing Data, Factors & Metrics
Testing Data
fuck u u cant skid this
Factors
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Metrics
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Results
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Summary
Model Examination [optional]
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: [More Information Needed]
- Hours used: [More Information Needed]
- Cloud Provider: [More Information Needed]
- Compute Region: [More Information Needed]
- Carbon Emitted: [More Information Needed]
Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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Hardware
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Software
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Citation [optional]
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