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Model Details
Model Description
This model is a fine-tuned version of microsoft/codebert-base
trained to classify JavaScript flaky tests into three root cause
categories: async wait, concurrency, and network. It was developed
as part of the FlakeyRadar project, an AI-driven self-healing system
for flaky test detection in JavaScript CI pipelines.
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: Agbator Destiny Uduehi
- Funded by [optional]: [More Information Needed]
- Shared by : Agbator Destiny Uduehi.
- Model type: Text Classification (Sequence Classification).
- Language(s) (NLP): JavaScript (Programming Language).
- License: [More Information Needed]
- Finetuned from model: microsoft/codebert-base.
Model Sources [optional]
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Uses
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Bias, Risks, and Limitations
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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.
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Training Details
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Training Procedure
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Evaluation
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Summary
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Environmental Impact
Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
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