---
language:
- ko
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- kresnik/zeroth_korean
metrics:
- wer
model-index:
- name: Whisper Small Ko - haseong8012
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: kresnik/zeroth_korean
      type: kresnik/zeroth_korean
      config: clean
      split: test
      args: 'config: ko, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 9.351001355217587
---

<!-- 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. -->

# Whisper Small Ko - haseong8012

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the kresnik/zeroth_korean dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0965
- Wer: 9.3510
- Cer: 4.1693

## 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: 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: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
| 0.1738        | 0.72  | 1000 | 0.2348          | 20.1777 | 8.0402 |
| 0.0601        | 1.44  | 2000 | 0.1447          | 16.1873 | 7.3218 |
| 0.0148        | 2.16  | 3000 | 0.1103          | 15.1784 | 7.6162 |
| 0.0155        | 2.87  | 4000 | 0.0965          | 9.3510  | 4.1693 |


### Framework versions

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