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license: apache-2.0
language:
- en
metrics:
- accuracy
library_name: transformers
pipeline_tag: text-classification
datasets:
- GautamR/grievance_agri
---
# Grievance Classification Model
This model classifies grievances into five distinct buckets:
- **Label 0**: Account number is not Correct
- **Label 1**: Installment not received
- **Label 2**: Others
- **Label 3**: convo_starter
- **Label 4**: convo_ender
## Description of the Buckets
1. **Account number is not Correct**:
This pertains to feedback or grievances related to the bank account number not being displayed correctly on the portal for farmers.
2. **Installment not received**:
This pertains to feedback where the farmer has not received the installment or money for a given month.
3. **Others**:
This covers a broad range of other grievances including, but not limited to:
- Gender being displayed incorrectly
- Online application pending approval
- Other payment-related issues
- Problem with Aadhaar correction
- Issue with biometric-based e-KYC
- Issue with OTP-based e-KYC
- Transaction failures
4. **Convo_starter**:
Any phrase that could be a conversation starter like 'Hi','Hello','Namasthe'
5. **Convo_ender**:
Any phrase that could signal the end of a conversation like 'Thank you','Goodbye'
## Training code:
The code for training the model can be found [here](https://colab.research.google.com/drive/16ThlfaBKTAS3ZfUXQSaXvjAJie754gBg#scrollTo=ksdtTs6Naqxm)
## Training Metrics
The following training metrics were observed over 15 epochs:
| Epoch | Loss | Accuracy | F1 Score |
|-------|---------|----------|----------|
| 1 | 1.0574 | 0.4242 | 0.4202 |
| 2 | 0.7780 | 0.7500 | 0.6952 |
| 3 | 0.5212 | 0.8939 | 0.8825 |
| 4 | 0.3214 | 0.9773 | 0.9767 |
| 5 | 0.1612 | 1.0000 | 1.0000 |
| 6 | 0.0883 | 1.0000 | 1.0000 |
| 7 | 0.0592 | 1.0000 | 1.0000 |
| 8 | 0.0418 | 1.0000 | 1.0000 |
| 9 | 0.0321 | 1.0000 | 1.0000 |
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