Report for ProsusAI/finbert
Hey Team!🤗✨
We’re thrilled to share some amazing evaluation results that’ll make your day!🎉📊
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
).
👉Performance issues (1)
Vulnerability | Level | Data slice | Metric | Transformation | Deviation |
---|---|---|---|---|---|
Performance | major 🔴 | text contains "finland" |
Precision = 0.083 | — | -38.20% than global |
🔍✨Examples
For records in the dataset where `text` contains "finland", the Precision is 38.2% lower than the global Precision.text | label | Predicted label |
|
---|---|---|---|
37 | At the request of Finnish media company Alma Media 's newspapers , research manager Jari Kaivo-oja at the Finland Futures Research Centre at the Turku School of Economics has drawn up a future scenario for Finland 's national economy by using a model developed by the University of Denver . | neutral | negative (p = 0.84) |
52 | Circulation revenue has increased by 5 % in Finland and 4 % in Sweden in 2008 . | positive | negative (p = 0.95) |
84 | According to HKScan Finland , the plan is to increase J+ñrvi-Suomen Portti 's net sales to EUR 80mn to EUR 100mn . | positive | negative (p = 0.95) |
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.
💡 What's Next?
- Checkout the Giskard Space and improve your model.
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🙌 Big Thanks!
We're grateful to have you on this adventure with us. 🚀🌟 Here's to more breakthroughs, laughter, and code magic! 🥂✨ Keep hugging that code and spreading the love! 💻 #Giskard #Huggingface #AISafety 🌈👏 Your enthusiasm, feedback, and contributions are what seek. 🌟 Keep being awesome!