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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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