---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Religion-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. -->

# Religion-Classification

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0585
- Accuracy: 0.9926

## 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
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.0722        | 1.0   | 6947  | 0.0671          | 0.9855   |
| 0.0368        | 2.0   | 13894 | 0.0470          | 0.9907   |
| 0.0205        | 3.0   | 20841 | 0.0431          | 0.9918   |
| 0.0109        | 4.0   | 27788 | 0.0576          | 0.9920   |
| 0.0013        | 5.0   | 34735 | 0.0585          | 0.9926   |


### Framework versions

- Transformers 4.14.1
- Pytorch 1.12.0
- Datasets 2.9.0
- Tokenizers 0.10.3