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---
license: apache-2.0
tags:
- generated_from_trainer
base_model: google/muril-base-cased
widget:
- text: >-
मेयरले उपभोक्ता समितिसँग ३० प्रतिशत कमिसन लिएपछि विकासको काम गुणस्तरहीन,
दबाब झेल्न नसकेर प्रशासकीय अधिकृतको भागाभाग। बाह्रबिसेका मेयरको मनोमानी-
दोहोरीमा रमाइलो गरेको बिलसमेत नगरपालिकाबाटै भुक्तानी गर्न दबाब मेयरले
उपभोक्ता समितिसँग ३० प्रतिशत कमिसन लिएपछि विकासको काम गुणस्तरहीन, दबाब
झेल्न नसकेर प्रशासकीय अधिकृतको भागाभाग।
model-index:
- name: nepali_complaints_classification_muril3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# nepali_complaints_classification_muril3
This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co./google/muril-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2575
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3973 | 0.25 | 500 | 2.0247 |
| 1.7073 | 0.5 | 1000 | 1.3814 |
| 1.1586 | 0.75 | 1500 | 0.9054 |
| 0.8099 | 1.0 | 2000 | 0.6431 |
| 0.5456 | 1.25 | 2500 | 0.4845 |
| 0.434 | 1.5 | 3000 | 0.4157 |
| 0.3643 | 1.75 | 3500 | 0.3814 |
| 0.3144 | 2.01 | 4000 | 0.3432 |
| 0.2616 | 2.26 | 4500 | 0.3156 |
| 0.2418 | 2.51 | 5000 | 0.2952 |
| 0.2256 | 2.76 | 5500 | 0.2805 |
| 0.2157 | 3.01 | 6000 | 0.2908 |
| 0.1749 | 3.26 | 6500 | 0.2847 |
| 0.1626 | 3.51 | 7000 | 0.2734 |
| 0.1522 | 3.76 | 7500 | 0.2658 |
| 0.1443 | 4.01 | 8000 | 0.2560 |
| 0.1196 | 4.26 | 8500 | 0.2580 |
| 0.1138 | 4.51 | 9000 | 0.2618 |
| 0.1119 | 4.76 | 9500 | 0.2575 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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