metadata
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: []
Whisper Tiny Ko - 0.1
This model is a fine-tuned version of 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