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| language: en |
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| # Model Card for BenjaminOcampo/task-subtle_task__model-bert__aug_method-gm |
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| <!-- Provide a quick summary of what the model is/does. --> |
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| # Table of Contents |
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| 1. [Model Details](#model-details) |
| 2. [Uses](#uses) |
| 3. [Bias, Risks, and Limitations](#bias-risks-and-limitations) |
| 4. [Training Details](#training-details) |
| 5. [Evaluation](#evaluation) |
| 6. [Model Examination](#model-examination-optional) |
| 7. [Environmental Impact](#environmental-impact) |
| 8. [Technical Specifications](#technical-specifications-optional) |
| 9. [Citation](#citation-optional) |
| 10. [Glossary](#glossary-optional) |
| 11. [More Information](#more-information-optional) |
| 12. [Model Card Authors](#model-card-authors-optional) |
| 13. [Model Card Contact](#model-card-contact) |
| 14. [How To Get Started With the Model](#how-to-get-started-with-the-model) |
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| # Model Details |
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| ## Model Description |
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| <!-- Provide a longer summary of what this model is. --> |
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| **Classification results dev set** |
| ``` |
| precision recall f1-score support |
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| 0 0.89 0.90 0.89 2680 |
| 1 0.82 0.82 0.82 1648 |
| 2 0.26 0.15 0.19 39 |
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| accuracy 0.86 4367 |
| macro avg 0.66 0.62 0.64 4367 |
| weighted avg 0.86 0.86 0.86 4367 |
| ``` |
| **Classification results test set** |
| ``` |
| precision recall f1-score support |
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| 0 0.89 0.90 0.90 2681 |
| 1 0.83 0.82 0.83 1648 |
| 2 0.17 0.15 0.16 39 |
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| accuracy 0.86 4368 |
| macro avg 0.63 0.63 0.63 4368 |
| weighted avg 0.86 0.86 0.86 4368 |
| ``` |
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| - **Developed by:** Nicolás Benjamín Ocampo |
| - **Shared by [optional]:** [More Information Needed] |
| - **Model type:** [More Information Needed] |
| - **Language(s) (NLP):** en |
| - **License:** [More Information Needed] |
| - **Finetuned from model [optional]:** [More Information Needed] |
| - **Resources for more information:** [More Information Needed] |
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| # Uses |
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| <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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| ## Direct Use |
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| <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
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| [More Information Needed] |
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| ## Downstream Use [optional] |
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| <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
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| [More Information Needed] |
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| ## Out-of-Scope Use |
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| <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
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| [More Information Needed] |
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| # Bias, Risks, and Limitations |
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| <!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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| [More Information Needed] |
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| ## Recommendations |
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| <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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| Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
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| # Training Details |
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| ## Training Data |
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| <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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| [More Information Needed] |
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| ## Training Procedure [optional] |
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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 |
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| [More Information Needed] |
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| ### Speeds, Sizes, Times |
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| <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
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| [More Information Needed] |
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| # Evaluation |
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| <!-- This section describes the evaluation protocols and provides the results. --> |
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| ## Testing Data, Factors & Metrics |
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| ### Testing Data |
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| <!-- This should link to a Data Card if possible. --> |
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| [More Information Needed] |
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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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| [More Information Needed] |
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| # Model Examination [optional] |
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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] |
| - **Hours used:** [More Information Needed] |
| - **Cloud Provider:** [More Information Needed] |
| - **Compute Region:** [More Information Needed] |
| - **Carbon Emitted:** [More Information Needed] |
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| # Technical Specifications [optional] |
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| ## Model Architecture and Objective |
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| [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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| [More Information Needed] |
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| ### Software |
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| [More Information Needed] |
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| # Citation [optional] |
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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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| **APA:** |
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| [More Information Needed] |
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| # Glossary [optional] |
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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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| [More Information Needed] |
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| # Model Card Authors [optional] |
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| [More Information Needed] |
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| # Model Card Contact |
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| [More Information Needed] |
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| # How to Get Started with the Model |
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| Use the code below to get started with the model. |
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| <details> |
| <summary> Click to expand </summary> |
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| [More Information Needed] |
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| </details> |
