---
tags:
- generated_from_trainer
base_model: Rajan/NepaliBERT
model-index:
- name: nepali_gov_complaints_classification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# nepali_gov_complaints_classification

This model is a fine-tuned version of [Rajan/NepaliBERT](https://huggingface.co/Rajan/NepaliBERT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2385

## 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: 1000
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5465        | 1.0   | 2244  | 0.4318          |
| 0.2461        | 2.0   | 4488  | 0.2543          |
| 0.16          | 3.0   | 6732  | 0.2385          |
| 0.0621        | 4.0   | 8976  | 0.2388          |
| 0.1181        | 5.0   | 11220 | 0.2503          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2