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---
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
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