Whisper Small Th
This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1680
- Wer: 0.6745
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: 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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.298 | 0.3647 | 1000 | 0.2527 | 0.7869 |
| 0.2172 | 0.7294 | 2000 | 0.2004 | 0.7213 |
| 0.1476 | 1.0941 | 3000 | 0.1767 | 0.6968 |
| 0.1304 | 1.4588 | 4000 | 0.1680 | 0.6745 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Downloads last month
- 2
Model tree for pother/whisper-small-th
Base model
openai/whisper-small