Whisper Small Thai
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 th dataset. It achieves the following results on the evaluation set:
- Loss: 0.3703
- Wer: 90.9836
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-07
- train_batch_size: 64
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| 0.4319 | 2.0 | 1000 | 0.4203 | 97.5410 |
| 0.4003 | 4.0 | 2000 | 0.3933 | 95.0820 |
| 0.3844 | 6.0 | 3000 | 0.3800 | 93.0328 |
| 0.3876 | 8.0 | 4000 | 0.3729 | 91.8033 |
| 0.3899 | 10.0 | 5000 | 0.3703 | 90.9836 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
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Dataset used to train napatswift/whisper-small-thai
Evaluation results
- Wer on mozilla-foundation/common_voice_11_0 thtest set self-reported29.169
- Mer on mozilla-foundation/common_voice_11_0 thtest set self-reported27.781