license: cc
datasets:
- mteb/banking77
language:
- en
metrics:
- accuracy
base_model:
- huawei-noah/TinyBERT_General_4L_312D
Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
Model Details
This is a tinyBERT based classification model trained on banking77 dataset
Model Description
This model is the distilled version of a BERTClassifier which was 483MB in size and achieved 92+% accuracy after fine tuning using banking77 dataset The distilled model is based on tinyBERT and is approx 54MB in size and is ~86.5% accurate on the banking77 dataset classification
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Uses
Direct Use
Can be used for text classification of incoming bank customer queries
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
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Training Details
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Training Procedure
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Summary
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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