README
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README.md
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## Bias, Risks, and Limitations
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1. Model may not be 100% accurate always but we are working on it.
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## How to Get Started with the Model
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## Bias, Risks, and Limitations
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1. Model may not be 100% accurate always but we are working on it.
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2. In our 'vibe test' where we fed the model with out of distribution data , the model does very well on classes like names , emails , phone numbers etc. We find that it can do better on classes like API_KEYS , credit card cvv numbers , bank account numbers. We are creating more data for these classes to futher improve performance. You can expect improvement in the next iteration.
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## How to Get Started with the Model
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