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@@ -11,11 +11,13 @@ datasets:
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  ---
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  # Grievance Classification Model
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- This model classifies grievances into three distinct buckets:
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  - **Label 0**: Account number is not Correct
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  - **Label 1**: Installment not received
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  - **Label 2**: Others
 
 
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  ## Description of the Buckets
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@@ -35,6 +37,12 @@ This model classifies grievances into three distinct buckets:
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  - Issue with OTP-based e-KYC
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  - Transaction failures
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  ## Training Metrics
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  The following training metrics were observed over 15 epochs:
 
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  # Grievance Classification Model
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+ This model classifies grievances into five distinct buckets:
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  - **Label 0**: Account number is not Correct
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  - **Label 1**: Installment not received
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  - **Label 2**: Others
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+ - **Label 3**: convo_starter
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+ - **Label 4**: convo_ender
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  ## Description of the Buckets
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  - Issue with OTP-based e-KYC
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  - Transaction failures
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+ 4. **Convo_starter**:
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+ Any phrase that could be a conversation starter like 'Hi','Hello','Namasthe'
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+
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+ 5. **Convo_ender**:
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+ Any phrase that could signal the end of a conversation like 'Thank you','Goodbye'
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+
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  ## Training Metrics
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  The following training metrics were observed over 15 epochs: