---
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: 0.3568
- Cer: 11.5477

## 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: 3e-06
- 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: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.5846        | 0.4488 | 500  | 0.5778          | 17.0684 |
| 0.5078        | 0.8977 | 1000 | 0.4889          | 14.7653 |
| 0.438         | 1.3465 | 1500 | 0.4454          | 13.8077 |
| 0.3945        | 1.7953 | 2000 | 0.4158          | 12.9504 |
| 0.3629        | 2.2442 | 2500 | 0.3952          | 12.4517 |
| 0.3363        | 2.6930 | 3000 | 0.3804          | 12.3059 |
| 0.3301        | 3.1418 | 3500 | 0.3699          | 11.8438 |
| 0.3291        | 3.5907 | 4000 | 0.3626          | 11.7568 |
| 0.2829        | 4.0395 | 4500 | 0.3582          | 11.5566 |
| 0.3056        | 4.4883 | 5000 | 0.3568          | 11.5477 |


### Framework versions

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