library_name: transformers
pipeline_tag: text2text-generation
Model Card for Model ID
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Model Details
Model Description
This is model is a fine-tuned version of google/flan-t5-large finetuned with the H4rmony dataset which aims to better align the model with ecological values through the use of ecolinguistics principles.
- Developed by: Jorge Vallego
- Funded by : Neovalle Ltd.
- Shared by : airesearch@neovalle.co.uk
- Model type: t5
- Language(s) (NLP): English
- License: MIT
- Finetuned from model: google/flan-t5-large
Uses
Intended as PoC to show the effect of H4rmony dataset.
Direct Use
For testing purposes to gain insight in order to the continous improvement of the H4rmony dataset.
Downstream Use
Not recommended as this model is under testing for a specific task only.
Out-of-Scope Use
Bias, Risks, and Limitations
[More Information Needed]
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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Speeds, Sizes, Times [optional]
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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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- Hours used: [More Information Needed]
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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 Contact
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