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Model Details
Model Description
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: Prerna
- Funded by [optional]: None
- Shared by [optional]:
- Model type: Text-to-text
- Language(s) (NLP): English
- License: Free to use
- Finetuned from model [optional]: Google "t5small"
Model Sources [optional]
- Repository: Google T5 small
- Paper [optional]:
- Demo [optional]:
Uses
Direct Use
Downstream Use [optional]
Out-of-Scope Use
Bias, Risks, and Limitations
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.
github: Prerna-2055/Federated-Learning-for-LLMs-with-Model-Compression
Training Details
Training Data
HealthcareMagic ChatDoctor-en
Training Procedure
Preprocessing [optional]
Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
Evaluation
Testing Data, Factors & Metrics
Testing Data
Factors
Metrics
Results
Summary
Model Examination [optional]
Environmental Impact
Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
- Hardware Type: [More Information Needed]
- Hours used: [More Information Needed]
- Cloud Provider: [More Information Needed]
- Compute Region: [More Information Needed]
- Carbon Emitted: [More Information Needed]
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]
BibTeX:
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APA:
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Glossary [optional]
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