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Model Details
This fine-tuned 🤗 Whisper model is optimized for transcribing feedback calls related to citizen grievances into English text.
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Finetuned from model:
openai/whisper-small
Model Sources [optional]
- Repository: DARPG-2024
- Demo: WHISPER-SPEECH-TO-TEXT-MODEL-FOR-DARPG
Uses
This fine-tuned Whisper model is designed for transcribing feedback calls related to citizen grievances into English text. It is intended for:
- Government agencies: To analyze and process public feedback efficiently.
- Customer service teams: To transcribe and review calls for insights.
Direct Use
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Downstream Use [optional]
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Out-of-Scope Use
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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
Training Data
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Training Procedure
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Training Hyperparameters
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Evaluation
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Results
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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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