|
|
--- |
|
|
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: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# Whisper Tiny Ko - 0.1 |
|
|
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/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 |
|
|
|
