metadata
library_name: transformers
language:
- ko
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- jwh1449/AIhub_KoSpeech_dataset2
model-index:
- name: whisper_small_test
results: []
whisper_small_test
This model is a fine-tuned version of openai/whisper-small on the AIhub_KoSpeech_dataset2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3283
- Cer: 10.1965
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: 0.0001
- 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: 7000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.7295 | 0.0790 | 500 | 0.7146 | 24.9317 |
| 0.6543 | 0.1580 | 1000 | 0.6799 | 48.0012 |
| 0.6291 | 0.2370 | 1500 | 0.6113 | 18.1741 |
| 0.577 | 0.3161 | 2000 | 0.5714 | 18.5980 |
| 0.4792 | 0.3951 | 2500 | 0.5176 | 15.9901 |
| 0.4775 | 0.4741 | 3000 | 0.4835 | 15.4528 |
| 0.4358 | 0.5531 | 3500 | 0.4543 | 15.3170 |
| 0.425 | 0.6321 | 4000 | 0.4246 | 13.0461 |
| 0.3961 | 0.7111 | 4500 | 0.4018 | 12.9581 |
| 0.3776 | 0.7901 | 5000 | 0.3768 | 11.7971 |
| 0.3923 | 0.8692 | 5500 | 0.3601 | 11.4129 |
| 0.3601 | 0.9482 | 6000 | 0.3406 | 10.8236 |
| 0.2029 | 1.0272 | 6500 | 0.3321 | 10.3529 |
| 0.1899 | 1.1062 | 7000 | 0.3283 | 10.1965 |
Framework versions
- Transformers 4.52.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1