README.md

metadata

license: apache-2.0
datasets:
  - raquiba/Sarcasm_News_Headline
language:
  - en
metrics:
  - perplexity

Model Card for sarcasm_plus

This model is a facebook/bart-large fine-tuned on sarcastic comments from raquiba/Sarcasm_News_Headline dataset.

Model Details

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

Model Description

• Developed by: [tteofili]
• Shared by : [tteofili]
• License: [apache-2.0]
• Finetuned from model : facebook/bart-large

  Bias, Risks, and Limitations

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

  Evaluation

  This section describes the evaluation protocols and provides the results.

  Testing Data, Factors & Metrics

  Testing Data

  This model was tested on raquiba/Sarcasm_News_Headline testset.

  Metrics

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

  Results

  Perplexity: 1.09