---
language:
- ko
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- arrow
metrics:
- wer
model-index:
- name: whisper-kor3
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: whisper-kor3
      type: arrow
      config: default
      split: train
      args: 'config: ko, split: valid'
    metrics:
    - name: Wer
      type: wer
      value: 24.690290982425815
---

<!-- 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-kor3

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the whisper-kor3 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4157
- Wer: 24.6903
- Cer: 11.3851

## 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: 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: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.2195        | 0.05  | 100  | 1.0198          | 34.4857 | 16.2544 |
| 0.7295        | 0.09  | 200  | 0.7220          | 32.6995 | 14.9684 |
| 0.5236        | 0.14  | 300  | 0.5703          | 31.4463 | 14.2549 |
| 0.4976        | 0.18  | 400  | 0.5461          | 31.8640 | 14.6274 |
| 0.479         | 0.23  | 500  | 0.5296          | 30.4091 | 14.0902 |
| 0.4544        | 0.28  | 600  | 0.5219          | 31.7920 | 16.3916 |
| 0.4672        | 0.32  | 700  | 0.5100          | 30.4955 | 13.9138 |
| 0.4305        | 0.37  | 800  | 0.5043          | 30.1354 | 14.5960 |
| 0.4561        | 0.42  | 900  | 0.4941          | 28.8101 | 13.2513 |
| 0.398         | 0.46  | 1000 | 0.4846          | 31.3166 | 14.2980 |
| 0.4338        | 0.51  | 1100 | 0.4780          | 28.0755 | 12.8945 |
| 0.4121        | 0.55  | 1200 | 0.4728          | 27.4128 | 12.5417 |
| 0.4217        | 0.6   | 1300 | 0.4693          | 28.2772 | 14.4392 |
| 0.3881        | 0.65  | 1400 | 0.4639          | 27.6577 | 13.0082 |
| 0.4035        | 0.69  | 1500 | 0.4593          | 26.9231 | 12.4436 |
| 0.4146        | 0.74  | 1600 | 0.4555          | 28.4212 | 13.7609 |
| 0.3837        | 0.78  | 1700 | 0.4511          | 28.8822 | 13.7845 |
| 0.3969        | 0.83  | 1800 | 0.4485          | 29.2135 | 14.2235 |
| 0.4368        | 0.88  | 1900 | 0.4414          | 26.5918 | 12.1457 |
| 0.3679        | 0.92  | 2000 | 0.4376          | 26.4477 | 12.1770 |
| 0.4496        | 0.97  | 2100 | 0.4335          | 30.1354 | 14.9018 |
| 0.3049        | 1.02  | 2200 | 0.4314          | 26.1164 | 12.9180 |
| 0.2213        | 1.06  | 2300 | 0.4325          | 25.9147 | 11.8046 |
| 0.2732        | 1.11  | 2400 | 0.4303          | 26.0012 | 11.8987 |
| 0.2568        | 1.15  | 2500 | 0.4293          | 25.9291 | 11.7576 |
| 0.2456        | 1.2   | 2600 | 0.4289          | 25.6986 | 11.7066 |
| 0.2702        | 1.25  | 2700 | 0.4262          | 25.8283 | 11.8203 |
| 0.2744        | 1.29  | 2800 | 0.4235          | 25.8139 | 11.8124 |
| 0.2742        | 1.34  | 2900 | 0.4254          | 25.6266 | 11.6360 |
| 0.2798        | 1.39  | 3000 | 0.4238          | 25.5546 | 11.6399 |
| 0.2593        | 1.43  | 3100 | 0.4219          | 26.1020 | 12.4632 |
| 0.2619        | 1.48  | 3200 | 0.4208          | 25.3241 | 11.4714 |
| 0.2633        | 1.52  | 3300 | 0.4210          | 26.6350 | 12.9964 |
| 0.2603        | 1.57  | 3400 | 0.4189          | 25.2809 | 11.4243 |
| 0.2992        | 1.62  | 3500 | 0.4189          | 25.2377 | 11.3969 |
| 0.2453        | 1.66  | 3600 | 0.4176          | 25.2377 | 11.5145 |
| 0.2475        | 1.71  | 3700 | 0.4172          | 24.8487 | 11.3969 |
| 0.2545        | 1.75  | 3800 | 0.4164          | 25.0216 | 11.4596 |
| 0.272         | 1.8   | 3900 | 0.4160          | 24.6471 | 11.2714 |
| 0.2339        | 1.85  | 4000 | 0.4157          | 24.6903 | 11.3851 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3