Delidata_friction_agent

Model Card for Model ID

This model is trained on the Delidata friction dataset from the paper, "Frictional Agent Alignment Framework: Slow Down and Don’t Break Things" (https://aclanthology.org/2025.acl-long.542/) Please check the paper for full details of model training data, training algorithm and intended uses.

Model Details

Model Description

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• Developed by: [Abhijnan Nath, SIGNAL Lab, CSU.]
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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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How to Get Started with the Model

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Training Details

Training Data

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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

Model Examination [optional]

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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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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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Framework versions

• PEFT 0.12.0