metadata
language:
- ko
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- kresnik/zeroth_korean
metrics:
- wer
model-index:
- name: Whisper Small Ko - haseong8012
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: kresnik/zeroth_korean
type: kresnik/zeroth_korean
config: clean
split: test
args: 'config: ko, split: test'
metrics:
- name: Wer
type: wer
value: 6.776087938563469
Whisper Small Ko - haseong8012
This model is a fine-tuned version of openai/whisper-small on the kresnik/zeroth_korean dataset. It achieves the following results on the evaluation set:
- Loss: 0.0981
- Wer: 6.7761
- Cer: 2.8934
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 16
- 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: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.0873 | 1.44 | 1000 | 0.1706 | 15.1333 | 6.0733 |
| 0.0274 | 2.87 | 2000 | 0.1186 | 9.6220 | 3.9887 |
| 0.0034 | 4.31 | 3000 | 0.1050 | 7.7699 | 3.1878 |
| 0.0011 | 5.75 | 4000 | 0.0990 | 7.4838 | 3.6079 |
| 0.0008 | 7.18 | 5000 | 0.0981 | 6.7761 | 2.8934 |
Framework versions
- Transformers 4.33.2
- Pytorch 1.12.1
- Datasets 2.14.5
- Tokenizers 0.13.3