---
language:
- ko
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- haseong8012/child-50k
model-index:
- name: whisper-small_child50K_timestretch_stepLR
  results: []
metrics:
- wer
- cer
---

<!-- 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_child50K_timeStretch_stepLR

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the child-50k dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0201
- Wer: 2.1061
- Cer: 0.8189

## 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: 1.25e-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: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.1004        | 0.18  | 500  | 0.0796          | 9.5440 | 4.0921 |
| 0.0846        | 0.36  | 1000 | 0.0453          | 5.3319 | 2.3843 |
| 0.0729        | 0.53  | 1500 | 0.0355          | 4.2849 | 1.7311 |
| 0.0486        | 0.71  | 2000 | 0.0284          | 2.8701 | 1.2241 |
| 0.045         | 0.89  | 2500 | 0.0261          | 3.6220 | 2.6581 |
| 0.0206        | 1.07  | 3000 | 0.0207          | 2.0616 | 0.8263 |
| 0.0264        | 1.24  | 3500 | 0.0219          | 2.0091 | 0.8275 |
| 0.0304        | 1.42  | 4000 | 0.0205          | 1.7827 | 0.7207 |
| 0.0224        | 1.6   | 4500 | 0.0233          | 2.3527 | 0.9527 |
| 0.0215        | 1.78  | 5000 | 0.0201          | 2.1061 | 0.8189 |


### Framework versions

- Transformers 4.34.1
- Pytorch 1.12.1
- Datasets 2.14.5
- Tokenizers 0.14.1