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Whisper Small Thai
This model is a fine-tuned version of Ramoslee/Whishper-small-th on the mozilla-foundation/common_voice_11_0 th dataset. It achieves the following results on the evaluation set:
- Loss: 0.1836
- Wer: 18.8761
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: 6
- eval_batch_size: 10
- 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: 10000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1262 | 0.27 | 1000 | 0.2267 | 25.1536 |
| 0.1174 | 0.55 | 2000 | 0.2190 | 24.6093 |
| 0.1363 | 0.82 | 3000 | 0.2059 | 24.5492 |
| 0.0618 | 1.1 | 4000 | 0.1970 | 22.1944 |
| 0.0686 | 1.37 | 5000 | 0.1916 | 21.2372 |
| 0.0722 | 1.65 | 6000 | 0.1854 | 20.3488 |
| 0.0771 | 1.92 | 7000 | 0.1801 | 19.8033 |
| 0.0191 | 2.2 | 8000 | 0.1859 | 19.5656 |
| 0.0237 | 2.47 | 9000 | 0.1862 | 19.1376 |
| 0.0205 | 2.74 | 10000 | 0.1836 | 18.8761 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 1.12.1+cu116
- Datasets 2.14.4.dev0
- Tokenizers 0.12.1
