whisper-tiny-minds14-en
This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6674
- Wer: 0.3128
- Wer Ortho: 0.3060
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: 16
- 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
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Wer Ortho |
|---|---|---|---|---|---|
| 0.0007 | 8.6207 | 250 | 0.6551 | 0.3196 | 0.3103 |
| 0.0004 | 17.2414 | 500 | 0.6674 | 0.3128 | 0.3060 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.9.0+cu126
- Datasets 2.19.0
- Tokenizers 0.22.2