Model Card for Model ID
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
- 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]
- Repository: [https://github.com/amudha-kumari/EMSummary]
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
Uses
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
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.
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Training Details
Training Data
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Training Procedure
Preprocessing [optional]
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Training Hyperparameters
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Evaluation
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
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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Software
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Citation [optional]
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