metadata

language:
  - ko
license: apache-2.0
base_model: openai/whisper-small
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - Bingsu/zeroth-korean
metrics:
  - wer
model-index:
  - name: Whisper Small KR - CookieMoster99
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: zeroth-korean
          type: Bingsu/zeroth-korean
          args: 'config: KR, split: test'
        metrics:
          - name: Wer
            type: wer
            value: 52.3565728053004

Whisper Small KR - CookieMoster99

This model is a fine-tuned version of openai/whisper-small on the zeroth-korean dataset. It achieves the following results on the evaluation set:

Loss: 0.0884
Wer: 52.3566

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: 8
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: 3000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0254	0.36	1000	0.1079	35.4314
0.0141	0.72	2000	0.0955	41.0029
0.0097	1.08	3000	0.0884	52.3566

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3