metadata
datasets:
- abisee/cnn_dailymail
language:
- en
Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
Model Details
Model Description
- Developed by: A. Britez
- Model type: RoBERTa
- Language(s) (NLP): English - EN
Model Sources [optional]
- Repository: https://github.com/abrtz/baby-lm
Uses
Direct 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.
How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
Training Details
Training Data
datasets:
Training Procedure
Preprocessing [optional]
[More Information Needed]
Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
[More Information Needed]
Evaluation
Testing Data, Factors & Metrics
Testing Data
Factors
[More Information Needed]
Metrics
[More Information Needed]
Results
[More Information Needed]
Summary
Model Examination [optional]
[More Information Needed]
Environmental Impact
- Hardware Type: A100-SXM4-40GB
- Hours used: 1.0 hours
- Cloud Provider: Google Cloud Platform
- Compute Region: europe-west4
- Carbon Emitted: Total emissions are estimated to be 0.14 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).
Technical Specifications [optional]
Model Architecture and Objective
RoBERTa for MLM
Glossary [optional]
BabyLM