Whisper small Ps - ZFA
This model is a fine-tuned version of openai/whisper-small on the Common Voice 20.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5497
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9095 | 0.7418 | 500 | 0.7124 |
| 0.4739 | 1.4837 | 1000 | 0.6064 |
| 0.2785 | 2.2255 | 1500 | 0.5811 |
| 0.1163 | 2.9674 | 2000 | 0.5497 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4