---
language:
- ko
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- kr_dialect_speech
metrics:
- wer
model-index:
- name: Whisper Small Ko(Gyungsang dialect) - p4b
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: KR Dialect Speech - gyungsang
      type: kr_dialect_speech
      config: gyungsang
      split: validation
      args: gyungsang
    metrics:
    - name: Wer
      type: wer
      value: 15.930018416206263
---

<!-- 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(Gyungsang dialect) - p4b

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the KR Dialect Speech - gyungsang dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2017
- Wer: 15.9300

## 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-07
- train_batch_size: 96
- eval_batch_size: 64
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- training_steps: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5909        | 0.2   | 1000 | 0.4133          | 211.6022 |
| 0.3612        | 0.4   | 2000 | 0.2137          | 16.9429  |
| 0.5373        | 0.6   | 3000 | 0.2063          | 15.8379  |
| 0.2909        | 0.8   | 4000 | 0.2012          | 15.8379  |
| 0.3317        | 1.0   | 5000 | 0.2017          | 15.9300  |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.14.0.dev20221208+cu116
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2