Report for ProsusAI/finbert

#197
by inoki-giskard - opened
Giskard org

Hi Team,

This is a report from Giskard Bot Scan 🐢.

We have identified 1 potential vulnerabilities in your model based on an automated scan.

This automated analysis evaluated the model on the dataset financial_phrasebank (subset sentences_allagree, split train).

👉Robustness issues (1)

When feature “text” is perturbed with the transformation “Add typos”, the model changes its prediction in 6.2% of the cases. We expected the predictions not to be affected by this transformation.

Level Metric Transformation Deviation
medium 🟡 Fail rate = 0.062 Add typos 62/1000 tested samples (6.2%) changed prediction after perturbation

Taxonomy

avid-effect:performance:P0201
🔍✨Examples
text Add typos(text) Original prediction Prediction after perturbation
1919 Cash flow from operations totalled EUR 7.4 mn , compared to a negative EUR 68.6 mn in the second quarter of 2008 . Cash dlow from operations totalled WUR 7.4 mhn , comlared to a negative EUR 68.6 mn in the second wquarter of 2008 . positive (p = 0.86) negative (p = 0.95)
1584 `` These developments partly reflect the government 's higher activity in the field of dividend policy . '' `` These developmsents partly reflect he government 's higher activity in the field of dividend policty . '' positive (p = 0.75) neutral (p = 0.58)
628 The share of the share capital of both above mentioned shareholders remains below 5 % . The share of the share capiral of both above mentioned sharehooders remains below 5 % . neutral (p = 0.72) negative (p = 0.83)

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Disclaimer: it's important to note that automated scans may produce false positives or miss certain vulnerabilities. We encourage you to review the findings and assess the impact accordingly.

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