---
language:
- ko
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- haseong8012/korean-child-command-voice_train-0-10000
metrics:
- wer
model-index:
- name: openai/whisper-tiny-Ko-haseong8012/korean-child-command-voice_train-0-10000
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: haseong8012/korean-child-command-voice_train-0-10000
      type: haseong8012/korean-child-command-voice_train-0-10000
      args: 'config: ko, split: train, validation, test'
    metrics:
    - name: Wer
      type: wer
      value: 27.187571395933286
---

<!-- 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. -->

# openai/whisper-tiny-Ko-haseong8012/korean-child-command-voice_train-0-10000

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the haseong8012/korean-child-command-voice_train-0-10000 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1263
- Wer: 27.1876
- Cer: 19.8556

## 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: 5e-05
- train_batch_size: 32
- 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: 500
- training_steps: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      | Cer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 1.1915        | 2.0   | 500  | 0.3624          | 78.8440  | 158.9770 |
| 0.0459        | 4.0   | 1000 | 0.2271          | 108.7274 | 129.0652 |
| 0.0111        | 6.0   | 1500 | 0.1616          | 44.8481  | 48.1227  |
| 0.0035        | 8.0   | 2000 | 0.1742          | 46.9043  | 44.5694  |
| 0.0014        | 10.0  | 2500 | 0.1635          | 32.8536  | 33.4027  |
| 0.0003        | 12.0  | 3000 | 0.1325          | 25.9995  | 21.7572  |
| 0.0001        | 14.0  | 3500 | 0.1300          | 27.1190  | 25.5743  |
| 0.0001        | 16.0  | 4000 | 0.1285          | 27.3475  | 24.4084  |
| 0.0001        | 18.0  | 4500 | 0.1266          | 27.1190  | 19.7030  |
| 0.0001        | 20.0  | 5000 | 0.1263          | 27.1876  | 19.8556  |


### Framework versions

- Transformers 4.33.2
- Pytorch 1.12.1
- Datasets 2.14.5
- Tokenizers 0.13.3