---
license: apache-2.0
tags:
- generated_from_trainer
base_model: google/muril-base-cased
model-index:
- name: nepali_complaints_classification_muril2
  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_muril2

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: 2.6391

## 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: 0.0003
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.641         | 0.22  | 500   | 2.6403          |
| 2.6415        | 0.45  | 1000  | 2.6393          |
| 2.6399        | 0.67  | 1500  | 2.6393          |
| 2.64          | 0.89  | 2000  | 2.6395          |
| 2.6398        | 1.11  | 2500  | 2.6395          |
| 2.64          | 1.34  | 3000  | 2.6392          |
| 2.64          | 1.56  | 3500  | 2.6392          |
| 2.6387        | 1.78  | 4000  | 2.6402          |
| 2.64          | 2.01  | 4500  | 2.6391          |
| 2.6396        | 2.23  | 5000  | 2.6392          |
| 2.6394        | 2.45  | 5500  | 2.6391          |
| 2.64          | 2.67  | 6000  | 2.6392          |
| 2.6398        | 2.9   | 6500  | 2.6391          |
| 2.6395        | 3.12  | 7000  | 2.6391          |
| 2.6392        | 3.34  | 7500  | 2.6391          |
| 2.6384        | 3.57  | 8000  | 2.6394          |
| 2.6392        | 3.79  | 8500  | 2.6391          |
| 2.6392        | 4.01  | 9000  | 2.6391          |
| 2.639         | 4.23  | 9500  | 2.6391          |
| 2.6391        | 4.46  | 10000 | 2.6391          |
| 2.6391        | 4.68  | 10500 | 2.6391          |
| 2.6391        | 4.9   | 11000 | 2.6391          |


### Framework versions

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