Model Card for gminus

This model is a facebook/bart-large fine-tuned on toxic comments from jigsaw_toxicity_pred dataset.

Model Details

This model is not intended to be used for plain inference as it is very likely to predict toxic content. It is intended to be used instead as "utility model" for detecting and fixing toxic content as its token probability distributions will likely differ from comparable models not trained/fine-tuned over toxic data. Its name gminus refers to the G- model in Detoxifying Text with MARCO: Controllable Revision with Experts and Anti-Experts.

Model Description

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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

This model is fine-tuned over toxic comments from jigsaw_toxicity_pred and it is very likely to produce toxic content. For this reason this model should only be used in combination with other models for the sake of detecting / fixing toxic content, see for example Detoxifying Text with MARCO: Controllable Revision with Experts and Anti-Experts.

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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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Training Hyperparameters

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Evaluation

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Testing Data, Factors & Metrics

Testing Data

This model was tested on jigsaw_toxic_pred testset.

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Factors

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Metrics

Model was evaluated using perplexity (on the MLM task).

Results

Perplexity: 1.03

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Summary

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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).

Technical Specifications [optional]

Model Architecture and Objective

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