Model Card for BenjaminOcampo/task-implicit_task__model-bert__aug_method-None

Table of Contents

1. Model Details
2. Uses
3. Bias, Risks, and Limitations
4. Training Details
5. Evaluation
6. Model Examination
7. Environmental Impact
8. Technical Specifications
9. Citation
10. Glossary
11. More Information
12. Model Card Authors
13. Model Card Contact
14. How To Get Started With the Model

Model Details

Model Description

Classification results dev set

              precision    recall  f1-score   support

           0       0.90      0.89      0.90      2680
           1       0.81      0.83      0.82      1501
           2       0.38      0.31      0.34       186

    accuracy                           0.85      4367
   macro avg       0.69      0.68      0.68      4367
weighted avg       0.84      0.85      0.85      4367

Classification results test set

              precision    recall  f1-score   support

           0       0.90      0.90      0.90      2681
           1       0.81      0.84      0.83      1501
           2       0.46      0.35      0.40       186

    accuracy                           0.86      4368
   macro avg       0.73      0.70      0.71      4368
weighted avg       0.85      0.86      0.85      4368

• 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]

Uses

Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

Training Details

Training Data

[More Information Needed]

Training Procedure [optional]

Preprocessing

[More Information Needed]

Speeds, Sizes, Times

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Model Examination [optional]

[More Information Needed]

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

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

[More Information Needed]

Software

[More Information Needed]

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]

How to Get Started with the Model

Use the code below to get started with the model.

Click to expand

[More Information Needed]