emdb-summary-generator

Model Card for Model ID

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emdb-summary-generator is a fine-tuned version of andkelly21/t5-small-finetuned-pubmed designed to generate concise, human-readable summaries of Electron Microscopy Data Bank (EMDB) entries. The model uses structured metadata and, optionally, PubMed abstracts to produce summaries that highlight key structural biology insights such as method, resolution, organism, and associated publications.

This modelcard aims to be a base template for new models. It has been generated using this raw template.

Model Details

Model Description

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• Developed by: [Dr. Amudha Kumari Duraisamy]
• Funded by [optional]: [More Information Needed]
• Shared by [optional]: [More Information Needed]
• Model type: [Summarization, Text2Text Generation]
• Language(s) (NLP): [English]
• License: [Apache license 2.0]
• Finetuned from model [optional]: [andkelly21/t5-small-finetuned-pubmed] ]

Model Sources [optional]

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• Repository: [https://github.com/amudha-kumari/EMSummary]
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• Demo [optional]: [More Information Needed]

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

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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

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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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Citation [optional]

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Glossary [optional]

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