---
language:
- ko
license: apache-2.0
base_model: openai/whisper-base
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- rlaorrn/working
model-index:
- name: jeju_stt
  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. -->

# jeju_stt

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the jeju_audio dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3821
- Cer: 11.9723

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.3689        | 2.0   | 1000 | 0.3850          | 13.3992 |
| 0.1887        | 4.0   | 2000 | 0.3482          | 11.9225 |
| 0.1057        | 6.0   | 3000 | 0.3603          | 11.8446 |
| 0.0637        | 8.0   | 4000 | 0.3821          | 11.9723 |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1