Whisper Small Th - Testhai
This model is a fine-tuned version of openai/whisper-small on the Common Voice 22.0 dataset. It achieves the following results on the evaluation set:
- Loss: 2.9453
- Wer: 100.0
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: 0.001
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.3587 | 1.0 | 330 | 3.2810 | 100.0 |
| 2.2188 | 2.0 | 660 | 3.0993 | 100.0 |
| 2.4391 | 3.0 | 990 | 2.9453 | 100.0 |
Framework versions
- Transformers 5.9.0
- Pytorch 2.12.0+cu132
- Datasets 4.8.5
- Tokenizers 0.22.2