TransLingo-Terms

Model Card for Model ID

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This is a custom T5 model for term detection task specific to computer science jargon in text.

Model Details

Model Description

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This custom T5 model for term detection task specific to computer science jargon in text was made for a project in college. This model was trained by web-scrapping computer science jargon on the internet and creating sentence pairs of original sentece and its simplified version. T5-base was used as is based model.

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• Model type: [Transformer]
• Language(s) (NLP): [English Only]
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• Finetuned from model [t5-base]: [More Information Needed]

Model Sources [optional]

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Uses

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Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

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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.

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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Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

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Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

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Glossary [optional]

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Model Card Authors [optional]

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