metadata
library_name: transformers
language:
- sun
license: apache-2.0
base_model: OwLim/whisper-java-SLR41-SLR35
tags:
- generated_from_trainer
datasets:
- SLR44_Augmented
metrics:
- wer
model-index:
- name: Whisper Small Sundanese Java
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: SLR44 Augmented Sundanese
type: SLR44_Augmented
args: 'split: train/test'
metrics:
- name: Wer
type: wer
value: 11.350884764782046
Whisper Small Sundanese Java
This model is a fine-tuned version of OwLim/whisper-java-SLR41-SLR35 on the SLR44 Augmented Sundanese dataset. It achieves the following results on the evaluation set:
- Loss: 0.1298
- Wer: 11.3509
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 OptimizerNames.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: 100
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5919 | 0.4292 | 100 | 0.2815 | 23.4139 |
| 0.395 | 0.8584 | 200 | 0.1782 | 15.8826 |
| 0.1788 | 1.2876 | 300 | 0.1554 | 13.0773 |
| 0.1654 | 1.7167 | 400 | 0.1445 | 11.4372 |
| 0.0581 | 2.1459 | 500 | 0.1337 | 11.5667 |
| 0.0572 | 2.5751 | 600 | 0.1335 | 11.6746 |
| 0.057 | 3.0043 | 700 | 0.1304 | 11.1135 |
| 0.0241 | 3.4335 | 800 | 0.1317 | 11.1135 |
| 0.0217 | 3.8627 | 900 | 0.1297 | 11.5019 |
| 0.0147 | 4.2918 | 1000 | 0.1298 | 11.3509 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1