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Whisper Small Thai Combined Concat
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 th dataset and additional scraped data. It achieves the following results on the evaluation set:
- Loss: 0.5034
- Wer: 27.2794 (without tokenizer)
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: 64
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0002 | 83.33 | 5000 | 0.5034 | 27.2794 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2
