---
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_small2_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_small2_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: 0.5890
- Cer: 213.0841

## 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: 25000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Cer      |
|:-------------:|:------:|:-----:|:---------------:|:--------:|
| 0.5224        | 0.2964 | 1000  | 0.5003          | 164.2695 |
| 0.4399        | 0.5928 | 2000  | 0.4550          | 440.4495 |
| 0.4331        | 0.8892 | 3000  | 0.4277          | 151.5039 |
| 0.2926        | 1.1855 | 4000  | 0.4221          | 83.3523  |
| 0.3307        | 1.4819 | 5000  | 0.4162          | 221.7744 |
| 0.2858        | 1.7783 | 6000  | 0.4099          | 231.1391 |
| 0.1883        | 2.0747 | 7000  | 0.4122          | 71.8191  |
| 0.1794        | 2.3711 | 8000  | 0.4186          | 64.8286  |
| 0.1957        | 2.6675 | 9000  | 0.4146          | 147.6546 |
| 0.1752        | 2.9638 | 10000 | 0.4173          | 90.3213  |
| 0.1158        | 3.2602 | 11000 | 0.4346          | 187.8218 |
| 0.1216        | 3.5566 | 12000 | 0.4342          | 112.4640 |
| 0.107         | 3.8530 | 13000 | 0.4401          | 101.8964 |
| 0.0679        | 4.1494 | 14000 | 0.4593          | 153.6522 |
| 0.0647        | 4.4458 | 15000 | 0.4712          | 91.6056  |
| 0.0646        | 4.7421 | 16000 | 0.4732          | 97.5377  |
| 0.0289        | 5.0385 | 17000 | 0.4958          | 170.3914 |
| 0.0343        | 5.3349 | 18000 | 0.5112          | 160.5715 |
| 0.0319        | 5.6313 | 19000 | 0.5129          | 147.4355 |
| 0.0344        | 5.9277 | 20000 | 0.5226          | 129.4900 |
| 0.018         | 6.2241 | 21000 | 0.5561          | 181.4288 |
| 0.0179        | 6.5205 | 22000 | 0.5620          | 191.2249 |
| 0.0177        | 6.8168 | 23000 | 0.5668          | 190.5664 |
| 0.0086        | 7.1132 | 24000 | 0.5841          | 210.2615 |
| 0.0085        | 7.4096 | 25000 | 0.5890          | 213.0841 |


### Framework versions

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