Model Card for Model ID
CodeQualBert model is able to assess the quality of a given Python code. It can label the provided code into three quality tiers - low, average and high.
Model Details
CodeQualBert is a fine-tuned CodeBert Model trained on CodeQual dataset.
Model Description
The model card of CodeQualBert model is shown below -
- Developed by: Diwanshu Shekhar and Dr. Mohammad Mahoor
- Finetuned from model [optional]: CodeBert
- Language(s) (NLP): English
- License: Apache 2.0
Model Sources [optional]
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Uses
The model is intended to be used for Code Quality Assessent Task.
Direct Use
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Out-of-Scope Use
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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.
How to Get Started with the Model
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Training Details
Training Data
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Training Procedure
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Evaluation
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Results
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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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Technical Specifications [optional]
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