---
library_name: transformers
language:
- ko
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- kresnik/zeroth_korean
model-index:
- name: Whisper Tiny Ko - 0.1
  results: []
---

<!-- 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 Tiny Ko - 0.1

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the zeroth_korean dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1870
- Cer: 9.5399

## 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: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Cer     |
|:-------------:|:------:|:-----:|:---------------:|:-------:|
| 0.4034        | 0.7184 | 1000  | 0.4414          | 14.7103 |
| 0.2432        | 1.4368 | 2000  | 0.3385          | 11.8208 |
| 0.1511        | 2.1552 | 3000  | 0.2778          | 9.6734  |
| 0.1295        | 2.8736 | 4000  | 0.2440          | 8.1855  |
| 0.0905        | 3.5920 | 5000  | 0.2219          | 7.8321  |
| 0.0638        | 4.3103 | 6000  | 0.2071          | 8.2915  |
| 0.0443        | 5.0287 | 7000  | 0.1970          | 9.0766  |
| 0.0534        | 5.7471 | 8000  | 0.1914          | 8.1069  |
| 0.0503        | 6.4655 | 9000  | 0.1879          | 6.7682  |
| 0.0308        | 7.1839 | 10000 | 0.1870          | 9.5399  |


### Framework versions

- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.2