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--- |
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license: apache-2.0 |
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language: |
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- en |
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metrics: |
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- accuracy |
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library_name: transformers |
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pipeline_tag: text-classification |
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datasets: |
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- GautamR/grievance_agri |
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--- |
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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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1. **Account number is not Correct**: |
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This pertains to feedback or grievances related to the bank account number not being displayed correctly on the portal for farmers. |
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2. **Installment not received**: |
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This pertains to feedback where the farmer has not received the installment or money for a given month. |
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3. **Others**: |
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This covers a broad range of other grievances including, but not limited to: |
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- Gender being displayed incorrectly |
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- Online application pending approval |
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- Other payment-related issues |
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- Problem with Aadhaar correction |
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- Issue with biometric-based e-KYC |
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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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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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## Training code: |
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The code for training the model can be found [here](https://colab.research.google.com/drive/16ThlfaBKTAS3ZfUXQSaXvjAJie754gBg#scrollTo=ksdtTs6Naqxm) |
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## Training Metrics |
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The following training metrics were observed over 15 epochs: |
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| Epoch | Loss | Accuracy | F1 Score | |
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|-------|---------|----------|----------| |
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| 1 | 1.0574 | 0.4242 | 0.4202 | |
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| 2 | 0.7780 | 0.7500 | 0.6952 | |
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| 3 | 0.5212 | 0.8939 | 0.8825 | |
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| 4 | 0.3214 | 0.9773 | 0.9767 | |
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| 5 | 0.1612 | 1.0000 | 1.0000 | |
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| 6 | 0.0883 | 1.0000 | 1.0000 | |
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| 7 | 0.0592 | 1.0000 | 1.0000 | |
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| 8 | 0.0418 | 1.0000 | 1.0000 | |
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| 9 | 0.0321 | 1.0000 | 1.0000 | |
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--- |
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