---
language:
- ko
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- fleurs
metrics:
- wer
model-index:
- name: Whisper Small Ko(FLUERS) - by p4b
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: google/fleurs ko_kr
      type: google/fleurs
      config: ko_kr
      split: test
    metrics:
    - name: Wer
      type: wer
      value: 20.251271313191744
---

<!-- 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(FLUERS) - by p4b

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the FLUERS Korean dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2893
- Wer: 19.2

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

### Dataset filtering

Some of datas from FLUERS are not used for training and evaluation.
Most of filtered datas are not fit to model or including non-korean symbols.

## 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: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3016        | 32.0  | 800  | 0.4048          | 140.4726 |
| 0.0451        | 64.0  | 1600 | 0.2893          | 19.2043  |
| 0.0169        | 96.0  | 2400 | 0.3110          | 20.2513  |
| 0.0092        | 128.0 | 3200 | 0.3240          | 20.0419  |
| 0.0062        | 160.0 | 4000 | 0.3335          | 20.0419  |
| 0.0045        | 192.0 | 4800 | 0.3416          | 20.0718  |
| 0.0035        | 224.0 | 5600 | 0.3501          | 20.1615  |
| 0.0028        | 256.0 | 6400 | 0.3562          | 20.3709  |
| 0.0024        | 288.0 | 7200 | 0.3618          | 20.0120  |
| 0.002         | 320.0 | 8000 | 0.3669          | 20.1017  |
| 0.0017        | 352.0 | 8800 | 0.3704          | 20.1914  |
| 0.0017        | 384.0 | 9600 | 0.3723          | 20.2513  |


### Framework versions

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