readme: ---
  license: mit
  language: 
    - en
  tags:
  - uncertainty-detection
  - social-media
  - text-classification
  widget:
  - text: "It seems like Bitcoin prices are heading into bearish territory."
    example_title: "Hedge Detection (Positive - Label 1)"
  - text: "Bitcoin prices have fallen by 42% in the last 30 days."
    example_title: "Hedge Detection (Negative - Label 0)"
  ---
  
  ### Overview
  Fine tuned VinAI's BERTweet base model on the Wiki Weasel 2.0 Corpus from the [Szeged Uncertainty Corpus](https://rgai.inf.u-szeged.hu/node/160) for hedge (linguistic uncertainty) detection in social media texts. Model was trained and optimised using Ray Tune's implementation of Deep Mind's Population Based Training with the arithmetic mean of Accuracy & F1 as its evaluation metric.
  
  ### Labels
  * LABEL_1 = Positive (Hedge is detected within text)
  * LABEL_0 = Negative (No Hedges detected within text)
  
  ### <a name="models2"></a> Model Performance
  Model | Accuracy | F1-Score | Accuracy & F1-Score
  ---|---|---|---
  `BERTweet-Hedge` | 0.9680 | 0.8765 | 0.9222
  