---
license: apache-2.0
datasets:
- haseong8012/child-50k
language:
- ko
metrics:
- wer
- cer
---

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# whisper-small_child50K_cosLR

This model is a fine-tuned version of [openai/small](https://huggingface.co/openai/small) on the child-50k dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0241
- Wer: 2.2556
- Cer: 0.9159

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.1058        | 0.36  | 500  | 0.0708          | 8.0241 | 3.2266 |
| 0.0577        | 0.71  | 1000 | 0.0446          | 5.2591 | 2.1891 |
| 0.0296        | 1.07  | 1500 | 0.0309          | 3.2662 | 1.3469 |
| 0.0301        | 1.42  | 2000 | 0.0279          | 2.7286 | 1.1516 |
| 0.0299        | 1.78  | 2500 | 0.0245          | 2.4578 | 0.9920 |
| 0.0219        | 2.13  | 3000 | 0.0262          | 2.6882 | 1.2290 |
| 0.0148        | 2.49  | 3500 | 0.0219          | 2.0899 | 0.9245 |
| 0.0141        | 2.84  | 4000 | 0.0281          | 2.8782 | 1.1615 |
| 0.0097        | 3.2   | 4500 | 0.0210          | 2.0616 | 0.8373 |
| 0.0109        | 3.55  | 5000 | 0.0241          | 2.2556 | 0.9159 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1