---
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_de_3
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: whisper-kor3_de_3
      type: arrow
      config: default
      split: train
      args: 'config: ko, split: valid'
    metrics:
    - name: Wer
      type: wer
      value: 23.377308707124012
---

<!-- 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_de_3

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the whisper-kor3_de_3 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3579
- Wer: 23.3773
- Cer: 10.7523

## 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: 100
- training_steps: 400

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.1425        | 0.21  | 50   | 0.3326          | 24.2480 | 11.1910 |
| 0.1145        | 0.42  | 100  | 0.3466          | 23.6148 | 11.5938 |
| 0.1082        | 0.64  | 150  | 0.3518          | 29.3668 | 15.6717 |
| 0.0986        | 0.85  | 200  | 0.3485          | 24.3008 | 11.0256 |
| 0.0771        | 1.06  | 250  | 0.3536          | 23.5620 | 10.8314 |
| 0.0513        | 1.27  | 300  | 0.3576          | 23.3509 | 10.5437 |
| 0.0424        | 1.48  | 350  | 0.3587          | 23.6148 | 10.7811 |
| 0.0526        | 1.69  | 400  | 0.3579          | 23.3773 | 10.7523 |


### Framework versions

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