---
language:
- ko
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
base_model: openai/whisper-small
datasets:
- Marcusxx/gwanju
model-index:
- name: gwanju_small_model
  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. -->

# gwanju_small_model

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small) on the Marcusxx/gwanju dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3975
- Cer: 116.4511

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Cer      |
|:-------------:|:------:|:-----:|:---------------:|:--------:|
| 0.5232        | 0.2964 | 1000  | 0.5003          | 168.6294 |
| 0.4416        | 0.5928 | 2000  | 0.4517          | 414.7252 |
| 0.4279        | 0.8892 | 3000  | 0.4226          | 180.9793 |
| 0.2886        | 1.1855 | 4000  | 0.4153          | 95.8875  |
| 0.3188        | 1.4819 | 5000  | 0.4085          | 161.7609 |
| 0.2717        | 1.7783 | 6000  | 0.3988          | 158.5859 |
| 0.1885        | 2.0747 | 7000  | 0.3993          | 98.1544  |
| 0.1747        | 2.3711 | 8000  | 0.4010          | 155.7158 |
| 0.1852        | 2.6675 | 9000  | 0.3986          | 103.8166 |
| 0.1662        | 2.9638 | 10000 | 0.3975          | 116.4511 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1