Transformers
Safetensors
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@@ -100,9 +100,9 @@ The following subsets of the above dataset were leveraged:
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  <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- #### Preprocessing [optional]
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- [More Information Needed]
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  #### Training Hyperparameters
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  -utilitarianism (2.5k random samples)
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  ```
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- #### Factors
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  <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- [More Information Needed]
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  #### Metrics
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  <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- [More Information Needed]
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  ### Results
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  <!-- Relevant interpretability work for the model goes here -->
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- [More Information Needed]
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  ## Environmental Impact
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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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  ### Compute Infrastructure
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- [More Information Needed]
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  #### Hardware
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  NVIDIA A100-SXM4-40GB
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- #### Software
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  [More Information Needed]
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  <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
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  [More Information Needed]
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  <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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- [More Information Needed]
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  ## More Information [optional]
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  ## Model Card Contact
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- [More Information Needed]
 
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  <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+ <!--#### Preprocessing [optional]
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+ [More Information Needed] -->
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  #### Training Hyperparameters
 
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  -utilitarianism (2.5k random samples)
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  ```
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+ <!-- #### Factors -->
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  <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+ <!--[More Information Needed]
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  #### Metrics
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  <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+ <!--[More Information Needed]
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  ### Results
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  <!-- Relevant interpretability work for the model goes here -->
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+ <!--[More Information Needed]
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  ## Environmental Impact
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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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  ### Compute Infrastructure
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+ [More Information Needed] -->
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  #### Hardware
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  NVIDIA A100-SXM4-40GB
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+ <!--#### Software
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  [More Information Needed]
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  <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+ <!--**BibTeX:**
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  [More Information Needed]
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  <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+ <!--[More Information Needed]
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  ## More Information [optional]
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  ## Model Card Contact
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+ [More Information Needed] -->