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: 0.1870
- Cer: 9.5399
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: 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: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.4034 | 0.7184 | 1000 | 0.4414 | 14.7103 |
| 0.2432 | 1.4368 | 2000 | 0.3385 | 11.8208 |
| 0.1511 | 2.1552 | 3000 | 0.2778 | 9.6734 |
| 0.1295 | 2.8736 | 4000 | 0.2440 | 8.1855 |
| 0.0905 | 3.5920 | 5000 | 0.2219 | 7.8321 |
| 0.0638 | 4.3103 | 6000 | 0.2071 | 8.2915 |
| 0.0443 | 5.0287 | 7000 | 0.1970 | 9.0766 |
| 0.0534 | 5.7471 | 8000 | 0.1914 | 8.1069 |
| 0.0503 | 6.4655 | 9000 | 0.1879 | 6.7682 |
| 0.0308 | 7.1839 | 10000 | 0.1870 | 9.5399 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.2