giskardai/giskard-evaluator · Report for soleimanian/financial-roberta-large-sentiment

Hey Team!🤗✨
We’re thrilled to share some amazing evaluation results that’ll make your day!🎉📊

We have identified 3 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	medium 🟡	`avg_word_length(text)` < 3.860 AND `avg_word_length(text)` >= 3.699	Balanced Accuracy = 0.892	—	-5.29% than global

🔍✨Examples

For records in the dataset where `avg_word_length(text)` < 3.860 AND `avg_word_length(text)` >= 3.699, the Balanced Accuracy is 5.29% lower than the global Balanced Accuracy.

	text	avg_word_length(text)	label	Predicted `label`
567	It will provide heating in the form of hot water for the sawmill 's needs .	3.75	neutral	positive (p = 0.64)
1121	Upon completion of the sale Proha would get some USD12 .7 m for its stake in Artemis .	3.83333	neutral	positive (p = 0.99)
1140	3 January 2011 - Scandinavian lenders Sampo Bank ( HEL : SAMAS ) , Pohjola Bank ( HEL : POH1S ) and Svenska Handelsbanken ( STO : SHB A ) have provided a EUR160m ( USD213m ) line of credit to Lemminkainen Oyj ( HEL : LEM1S ) , the Finnish construction firm said on Friday .	3.80702	neutral	positive (p = 0.99)

👉Robustness issues (2)

Vulnerability	Level	Data slice	Metric	Transformation	Deviation
Robustness	medium 🟡	—	Fail rate = 0.086	Add typos	86/1000 tested samples (8.6%) changed prediction after perturbation

🔍✨Examples

When feature “text” is perturbed with the transformation “Add typos”, the model changes its prediction in 8.6% of the cases. We expected the predictions not to be affected by this transformation.

	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 = 0.99)	negative (p = 1.00)
1143	A huge issue for us is the button placement .	A huge isue for us is the button placment .	negative (p = 0.98)	neutral (p = 1.00)
2130	Device volume in the area decreased by 21 % to 2.7 mn units .	Device volum in the area decreased by 21 % to 2.7 mn units .	negative (p = 1.00)	positive (p = 1.00)

Vulnerability	Level	Data slice	Metric	Transformation	Deviation
Robustness	medium 🟡	—	Fail rate = 0.075	Transform to uppercase	75/1000 tested samples (7.5%) changed prediction after perturbation

🔍✨Examples

When feature “text” is perturbed with the transformation “Transform to uppercase”, the model changes its prediction in 7.5% of the cases. We expected the predictions not to be affected by this transformation.

	text	Transform to uppercase(text)	Original prediction	Prediction after perturbation
580	Okmetic Board of Directors has also decided on a new share ownership program directed to the company 's top management .	OKMETIC BOARD OF DIRECTORS HAS ALSO DECIDED ON A NEW SHARE OWNERSHIP PROGRAM DIRECTED TO THE COMPANY 'S TOP MANAGEMENT .	neutral (p = 0.70)	positive (p = 0.79)
823	In the end of 2006 , the number of outlets will rise to 60-70 .	IN THE END OF 2006 , THE NUMBER OF OUTLETS WILL RISE TO 60-70 .	positive (p = 1.00)	negative (p = 1.00)
1444	The group reiterated its forecast that handset manufacturers will sell around 915 mln units this year globally .	THE GROUP REITERATED ITS FORECAST THAT HANDSET MANUFACTURERS WILL SELL AROUND 915 MLN UNITS THIS YEAR GLOBALLY .	neutral (p = 1.00)	positive (p = 1.00)

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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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🙌 Big Thanks!

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