base_model: meta-llama/Llama-3.1-8B
library_name: peft
datasets:
- baartmar/nsm_dataset
license: cc-by-nc-sa-4.0
language:
- en
Model Card for Model ID
A fine-tuned LLM for paraphrasing word-meanings using the natural semantic primes.
Model Details
Model Description
A fine-tuned LLM for paraphrasing word-meanings using the natural semantic primes.
- Developed by:
- Model type: Text Generation
- Language(s) (NLP): English
- License: cc-by-nc-sa-4.0
- Finetuned from model: Llama-3.1-8B
Model Sources [optional]
- Repository: https://github.com/OSU-STARLAB/DeepNSM
- Paper: https://arxiv.org/abs/2505.11764
Uses
Direct Use
To use the DeepNSM model to generate an NSM paraphrase of a word-meaning, you should structure your prompts in the following format:
Word: dangerous
Examples:
don't go near the dangerous fire
walking outside at night is dangerous
Paraphrase:
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
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Training Hyperparameters
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Evaluation
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Factors
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Results
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Summary
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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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Framework versions
- PEFT 0.15.2