|
--- |
|
language: |
|
- ko |
|
license: apache-2.0 |
|
tags: |
|
- hf-asr-leaderboard |
|
- generated_from_trainer |
|
datasets: |
|
- haseong8012/child-10k |
|
metrics: |
|
- wer |
|
- cer |
|
model-index: |
|
- name: >- |
|
openai/whisper-small-Ko-haseong8012/child-10k |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: haseong8012/korean-child-command-voice_train-0-10000_smaplingRate-16000 |
|
type: haseong8012/korean-child-command-voice_train-0-10000_smaplingRate-16000 |
|
args: 'config: ko, split: train, validation, test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 14.96458761708933 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# openai/whisper-small-Ko-haseong8012/korean-child-command-voice_train-0-10000_smaplingRate-16000 |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the haseong8012/korean-child-command-voice_train-0-10000_smaplingRate-16000 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1613 |
|
- Wer: 14.9646 |
|
- Cer: 7.4814 |
|
|
|
## 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: 1.25e-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 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:| |
|
| 0.0098 | 4.0 | 1000 | 0.1831 | 18.0032 | 9.0777 | |
|
| 0.0007 | 8.0 | 2000 | 0.1634 | 15.6271 | 7.7868 | |
|
| 0.0002 | 12.0 | 3000 | 0.1611 | 15.2159 | 7.5300 | |
|
| 0.0001 | 16.0 | 4000 | 0.1605 | 15.0331 | 7.5370 | |
|
| 0.0001 | 20.0 | 5000 | 0.1613 | 14.9646 | 7.4814 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.28.0 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.13.3 |
