metadata
base_model: openai/whisper-small
library_name: transformers
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: whisper-small-jv
results: []
whisper-small-jv
This model is a fine-tuned version of openai/whisper-small on the "OpenSLR High quality TTS data for Javanese" dataset. It achieves the following results on the evaluation set:
- Loss: 0.3461
- Wer: 26.7960
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-06
- train_batch_size: 16
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|
| 0.4523 | 3.0488 | 1000 | 0.5512 | 37.2213 |
| 0.244 | 6.0976 | 2000 | 0.4139 | 30.4913 |
| 0.1597 | 9.1463 | 3000 | 0.3683 | 28.4682 |
| 0.126 | 12.1951 | 4000 | 0.3506 | 27.4773 |
| 0.1098 | 15.2439 | 5000 | 0.3461 | 26.7960 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1